From ee711caa881ee3399b947d71a735647cdd27a55b Mon Sep 17 00:00:00 2001 From: Stesilva16 Date: Thu, 2 Nov 2023 20:00:43 -0300 Subject: [PATCH] projeto_guiado_3 --- .../Banco_de_dados_projeto_guiado_II.ipynb | 617 +++ exercicios/para-casa/Hr_dataset.db | Bin 0 -> 86016 bytes exercicios/para-casa/Projeto_guiado_II.ipynb | 4649 +++++++++++++++++ exercicios/para-casa/dados_rh.csv | 312 ++ exercicios/para-casa/hr/HR/HRDataset_v14.csv | 312 ++ 5 files changed, 5890 insertions(+) create mode 100644 exercicios/para-casa/Banco_de_dados_projeto_guiado_II.ipynb create mode 100644 exercicios/para-casa/Hr_dataset.db create mode 100644 exercicios/para-casa/Projeto_guiado_II.ipynb create mode 100644 exercicios/para-casa/dados_rh.csv create mode 100644 exercicios/para-casa/hr/HR/HRDataset_v14.csv diff --git a/exercicios/para-casa/Banco_de_dados_projeto_guiado_II.ipynb b/exercicios/para-casa/Banco_de_dados_projeto_guiado_II.ipynb new file mode 100644 index 0000000..ee0e8b9 --- /dev/null +++ b/exercicios/para-casa/Banco_de_dados_projeto_guiado_II.ipynb @@ -0,0 +1,617 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Documentação do Código\n", + "\n", + "O código a seguir realiza a importação de dados de um arquivo CSV para um banco de dados SQLite. Abaixo, estão as etapas e a funcionalidade de cada parte do código:\n", + "\n", + "### [Importação de Bibliotecas](#importação-de-bibliotecas)\n", + "\n", + "O código importa as bibliotecas csv e sqlite3 para lidar com a leitura de arquivos CSV e a interação com o banco de dados SQLite.\n", + "\n", + "### [Abertura do Arquivo CSV](#abertura-do-arquivo-csv)\n", + "O arquivo \"HRDataset_v14.csv\" é aberto para leitura com especificação de codificação UTF-8 para tratar caracteres especiais.\n", + "\n", + "### [Conexão com o Banco de Dados](#conexão-com-o-banco-de-dados)\n", + "Uma conexão é estabelecida com um banco de dados SQLite denominado \"Hr_dataset.db\". Se o banco de dados não existir, ele será criado.\n", + "\n", + "### [Criação da Tabela no Banco de Dados](#criação-da-tabela-no-banco-de-dados)\n", + "Uma tabela chamada \"Hr\" é criada no banco de dados SQLite com definições de colunas e tipos de dados correspondentes.\n", + "\n", + "### [Inserção de Dados](#inserção-de-dados-na-tabela)\n", + "\n", + "É definida uma string SQL para inserção de dados na tabela \"Hr\". As colunas da tabela são listadas em ordem e os valores são fornecidos em uma tupla correspondente.\n", + "\n", + "### [Seleção de Dados](#seleção-de-dados-da-tabela)\n", + "\n", + "Uma consulta SQL é executada para selecionar todos os dados da tabela \"Hr\". Os resultados são recuperados e armazenados em uma lista.\n", + "\n", + "### [Impressão dos Dados](#impressão-dos-dados-da-tabela)\n", + "\n", + "O código itera sobre as tuplas na lista e imprime as informações das linhas da tabela no console.\n", + "\n", + "### [Commit e Fechamento da Conexão](#commit-e-fechamento-da-conexão)\n", + "\n", + "Um commit é realizado para salvar as alterações no banco de dados, e a conexão com o banco de dados é devidamente fechada.\n", + "\n", + "Esta documentação fornece uma visão geral do funcionamento do código, detalhando as principais etapas e suas funcionalidades. O código completo lida com a importação de dados de um arquivo CSV para um banco de dados SQLite, bem como a manipulação desses dados no banco de dados.\n", + "\n", + "[_Fonte_](\"https://www.kaggle.com/datasets/rhuebner/human-resources-data-set/\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Banco de dados" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Importação de Bibliotecas" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "# Importe as bibliotecas necessárias\n", + "import csv # Biblioteca para trabalhar com arquivos CSV\n", + "import sqlite3 # Biblioteca para trabalhar com bancos de dados SQLite\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Abertura do Arquivo CSV" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "# Abrir o arquivo \"HRDataset_v14.csv\" localizado na pasta \"hr/HR\" com codificação UTF-8\n", + "file = open(\"hr/HR/HRDataset_v14.csv\", encoding='UTF-8')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Conexão com o Banco de Dados" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "# Crie um leitor CSV para ler o conteúdo do arquivo\n", + "conteudo = csv.reader(file)\n", + "\n", + "# Conecte-se ao banco de dados SQLite (ou crie um se não existir)\n", + "connection = sqlite3.connect(\"Hr_dataset.db\")\n", + "\n", + "# Crie um cursor para executar comandos SQL no banco de dados\n", + "cursor = connection.cursor()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Criação da Tabela no Banco de Dados" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Crie uma tabela chamada \"Hr\" no banco de dados SQLite (se não existir)\n", + "\n", + "cursor.execute('''CREATE TABLE IF NOT EXISTS Hr (\n", + " Employee_Name VARCHAR,\n", + " EmpID INT,\n", + " MarriedID INT,\n", + " MaritalStatusID INT,\n", + " GenderID INT,\n", + " EmpStatusID INT,\n", + " DeptID INT,\n", + " PerfScoreID INT,\n", + " FromDiversityJobFairID INT,\n", + " Salary INT,\n", + " Termd INT,\n", + " PositionID INT,\n", + " Position VARCHAR,\n", + " State VARCHAR,\n", + " Zip INT,\n", + " DOB DATE,\n", + " Sex VARCHAR,\n", + " MaritalDesc VARCHAR,\n", + " CitizenDesc VARCHAR,\n", + " HispanicLatino VARCHAR,\n", + " RaceDesc VARCHAR,\n", + " DateofHire DATE,\n", + " DateofTermination DATE,\n", + " TermReason VARCHAR,\n", + " EmploymentStatus VARCHAR,\n", + " Department VARCHAR,\n", + " ManagerName VARCHAR,\n", + " ManagerID INT,\n", + " RecruitmentSource VARCHAR,\n", + " PerformanceScore VARCHAR,\n", + " EngagementSurvey FLOAT,\n", + " EmpSatisfaction INT,\n", + " SpecialProjectsCount INT,\n", + " LastPerformanceReview_Date DATE,\n", + " DaysLateLast30 INT,\n", + " Absences INT\n", + ")''')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Inserção de Dados na Tabela" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Defina uma string SQL que será usada para inserir dados na tabela \"Hr\"\n", + "inserir_conteudo = '''\n", + " INSERT INTO Hr (\n", + " Employee_Name, EmpID, MarriedID, MaritalStatusID, GenderID, EmpStatusID, DeptID,\n", + " PerfScoreID, FromDiversityJobFairID, Salary, Termd, PositionID, Position, State,\n", + " Zip, DOB, Sex, MaritalDesc, CitizenDesc, HispanicLatino, RaceDesc, DateofHire,\n", + " DateofTermination, TermReason, EmploymentStatus, Department, ManagerName, ManagerID,\n", + " RecruitmentSource, PerformanceScore, EngagementSurvey, EmpSatisfaction,\n", + " SpecialProjectsCount, LastPerformanceReview_Date, DaysLateLast30, Absences\n", + " )\n", + " VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n", + "'''\n", + "\n", + "# Execute a inserção dos dados usando o comando executemany\n", + "cursor.executemany(inserir_conteudo, conteudo)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Seleção de Dados da Tabela" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "# Defina uma string SQL que seleciona todos os dados da tabela \"Hr\"\n", + "selecionar_tudo = \"SELECT * FROM Hr\"\n", + "\n", + "# Execute a consulta SQL usando o cursor e recupere todos os resultados usando fetchall()\n", + "entradas = cursor.execute(selecionar_tudo).fetchall()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Impressão dos Dados da Tabela" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('\\ufeffEmployee_Name', 'EmpID', 'MarriedID', 'MaritalStatusID', 'GenderID', 'EmpStatusID', 'DeptID', 'PerfScoreID', 'FromDiversityJobFairID', 'Salary', 'Termd', 'PositionID', 'Position', 'State', 'Zip', 'DOB', 'Sex', 'MaritalDesc', 'CitizenDesc', 'HispanicLatino', 'RaceDesc', 'DateofHire', 'DateofTermination', 'TermReason', 'EmploymentStatus', 'Department', 'ManagerName', 'ManagerID', 'RecruitmentSource', 'PerformanceScore', 'EngagementSurvey', 'EmpSatisfaction', 'SpecialProjectsCount', 'LastPerformanceReview_Date', 'DaysLateLast30', 'Absences')\n", + "('Adinolfi, Wilson K', 10026, 0, 0, 1, 1, 5, 4, 0, 62506, 0, 19, 'Production Technician I', 'MA', 1960, '07/10/83', 'M ', 'Single', 'US Citizen', 'No', 'White', '7/5/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'LinkedIn', 'Exceeds', 4.6, 5, 0, '1/17/2019', 0, 1)\n", + "('Ait Sidi, Karthikeyan ', 10084, 1, 1, 1, 5, 3, 3, 0, 104437, 1, 27, 'Sr. DBA', 'MA', 2148, '05/05/75', 'M ', 'Married', 'US Citizen', 'No', 'White', '3/30/2015', '6/16/2016', 'career change', 'Voluntarily Terminated', 'IT/IS', 'Simon Roup', 4, 'Indeed', 'Fully Meets', 4.96, 3, 6, '2/24/2016', 0, 17)\n", + "('Akinkuolie, Sarah', 10196, 1, 1, 0, 5, 5, 3, 0, 64955, 1, 20, 'Production Technician II', 'MA', 1810, '09/19/88', 'F', 'Married', 'US Citizen', 'No', 'White', '7/5/2011', '9/24/2012', 'hours', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'LinkedIn', 'Fully Meets', 3.02, 3, 0, '5/15/2012', 0, 3)\n", + "('Alagbe,Trina', 10088, 1, 1, 0, 1, 5, 3, 0, 64991, 0, 19, 'Production Technician I', 'MA', 1886, '09/27/88', 'F', 'Married', 'US Citizen', 'No', 'White', '1/7/2008', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Indeed', 'Fully Meets', 4.84, 5, 0, '1/3/2019', 0, 15)\n", + "('Anderson, Carol ', 10069, 0, 2, 0, 5, 5, 3, 0, 50825, 1, 19, 'Production Technician I', 'MA', 2169, '09/08/89', 'F', 'Divorced', 'US Citizen', 'No', 'White', '7/11/2011', '9/6/2016', 'return to school', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Google Search', 'Fully Meets', 5.0, 4, 0, '2/1/2016', 0, 2)\n", + "('Anderson, Linda ', 10002, 0, 0, 0, 1, 5, 4, 0, 57568, 0, 19, 'Production Technician I', 'MA', 1844, '05/22/77', 'F', 'Single', 'US Citizen', 'No', 'White', '1/9/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Amy Dunn', 11, 'LinkedIn', 'Exceeds', 5.0, 5, 0, '1/7/2019', 0, 15)\n", + "('Andreola, Colby', 10194, 0, 0, 0, 1, 4, 3, 0, 95660, 0, 24, 'Software Engineer', 'MA', 2110, '05/24/79', 'F', 'Single', 'US Citizen', 'No', 'White', '11/10/2014', '', 'N/A-StillEmployed', 'Active', 'Software Engineering', 'Alex Sweetwater', 10, 'LinkedIn', 'Fully Meets', 3.04, 3, 4, '1/2/2019', 0, 19)\n", + "('Athwal, Sam', 10062, 0, 4, 1, 1, 5, 3, 0, 59365, 0, 19, 'Production Technician I', 'MA', 2199, '02/18/83', 'M ', 'Widowed', 'US Citizen', 'No', 'White', '9/30/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Employee Referral', 'Fully Meets', 5.0, 4, 0, '2/25/2019', 0, 19)\n", + "('Bachiochi, Linda', 10114, 0, 0, 0, 3, 5, 3, 1, 47837, 0, 19, 'Production Technician I', 'MA', 1902, '02/11/70', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '7/6/2009', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Diversity Job Fair', 'Fully Meets', 4.46, 3, 0, '1/25/2019', 0, 4)\n", + "('Bacong, Alejandro ', 10250, 0, 2, 1, 1, 3, 3, 0, 50178, 0, 14, 'IT Support', 'MA', 1886, '01/07/88', 'M ', 'Divorced', 'US Citizen', 'No', 'White', '1/5/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'Indeed', 'Fully Meets', 5.0, 5, 6, '2/18/2019', 0, 16)\n", + "('Baczenski, Rachael ', 10252, 1, 1, 0, 5, 5, 3, 1, 54670, 1, 19, 'Production Technician I', 'MA', 1902, '01/12/74', 'F', 'Married', 'US Citizen', 'Yes', 'Black or African American', '1/10/2011', '1/12/2017', 'Another position', 'Voluntarily Terminated', 'Production ', 'David Stanley', 14, 'Diversity Job Fair', 'Fully Meets', 4.2, 4, 0, '1/30/2016', 0, 12)\n", + "('Barbara, Thomas', 10242, 1, 1, 1, 5, 5, 3, 1, 47211, 1, 19, 'Production Technician I', 'MA', 2062, '02/21/74', 'M ', 'Married', 'US Citizen', 'Yes', 'Black or African American', '4/2/2012', '9/19/2016', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'Diversity Job Fair', 'Fully Meets', 4.2, 3, 0, '5/6/2016', 0, 15)\n", + "('Barbossa, Hector', 10012, 0, 2, 1, 1, 3, 4, 1, 92328, 0, 9, 'Data Analyst', 'TX', 78230, '07/04/88', 'M ', 'Divorced', 'US Citizen', 'No', 'Black or African American', '11/10/2014', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Simon Roup', 4, 'Diversity Job Fair', 'Exceeds', 4.28, 4, 5, '2/25/2019', 0, 9)\n", + "('Barone, Francesco A', 10265, 0, 0, 1, 1, 5, 3, 0, 58709, 0, 19, 'Production Technician I', 'MA', 1810, '07/20/83', 'M ', 'Single', 'US Citizen', 'No', 'Two or more races', '2/20/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'Google Search', 'Fully Meets', 4.6, 4, 0, '2/14/2019', 0, 7)\n", + "('Barton, Nader', 10066, 0, 2, 1, 5, 5, 3, 0, 52505, 1, 19, 'Production Technician I', 'MA', 2747, '07/15/77', 'M ', 'Divorced', 'US Citizen', 'No', 'White', '9/24/2012', '4/6/2017', 'Another position', 'Voluntarily Terminated', 'Production ', 'Michael Albert', 22, 'On-line Web application', 'Fully Meets', 5.0, 5, 0, '3/2/2017', 0, 1)\n", + "('Bates, Norman', 10061, 0, 0, 1, 4, 5, 3, 0, 57834, 1, 19, 'Production Technician I', 'MA', 2050, '10/18/81', 'M ', 'Single', 'US Citizen', 'No', 'White', '2/21/2011', '8/4/2017', 'attendance', 'Terminated for Cause', 'Production ', 'Kelley Spirea', 18, 'Google Search', 'Fully Meets', 5.0, 4, 0, '4/5/2017', 0, 20)\n", + "('Beak, Kimberly ', 10023, 1, 1, 0, 2, 5, 4, 0, 70131, 0, 20, 'Production Technician II', 'MA', 2145, '04/17/66', 'F', 'Married', 'US Citizen', 'No', 'White', '7/21/2016', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'Employee Referral', 'Exceeds', 4.4, 3, 0, '1/14/2019', 0, 16)\n", + "('Beatrice, Courtney ', 10055, 0, 0, 0, 1, 5, 3, 0, 59026, 0, 19, 'Production Technician I', 'MA', 1915, '10/27/70', 'F', 'Single', 'Eligible NonCitizen', 'No', 'White', '4/4/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Google Search', 'Fully Meets', 5.0, 5, 0, '1/14/2019', 0, 12)\n", + "('Becker, Renee', 10245, 0, 0, 0, 4, 3, 3, 0, 110000, 1, 8, 'Database Administrator', 'MA', 2026, '04/04/86', 'F', 'Single', 'US Citizen', 'Yes', 'White', '7/7/2014', '9/12/2015', 'performance', 'Terminated for Cause', 'IT/IS', 'Simon Roup', 4, 'Google Search', 'Fully Meets', 4.5, 4, 5, '1/15/2015', 0, 8)\n", + "('Becker, Scott', 10277, 0, 0, 1, 3, 5, 3, 0, 53250, 0, 19, 'Production Technician I', 'MA', 2452, '04/06/79', 'M ', 'Single', 'US Citizen', 'No', 'Asian', '7/8/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Webster Butler', '', 'LinkedIn', 'Fully Meets', 4.2, 4, 0, '1/11/2019', 0, 13)\n", + "('Bernstein, Sean', 10046, 0, 0, 1, 1, 5, 3, 0, 51044, 0, 19, 'Production Technician I', 'MA', 2072, '12/22/70', 'M ', 'Single', 'US Citizen', 'Yes', 'White', '4/2/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Amy Dunn', 11, 'Google Search', 'Fully Meets', 5.0, 3, 0, '1/14/2019', 0, 13)\n", + "('Biden, Lowan M', 10226, 0, 2, 0, 1, 5, 3, 0, 64919, 0, 19, 'Production Technician I', 'MA', 2027, '12/27/58', 'F', 'Divorced', 'US Citizen', 'No', 'Asian', '8/19/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Indeed', 'Fully Meets', 4.2, 3, 0, '1/10/2019', 0, 2)\n", + "('Billis, Helen', 10003, 1, 1, 0, 1, 5, 4, 0, 62910, 0, 19, 'Production Technician I', 'MA', 2031, '09/01/89', 'F', 'Married', 'US Citizen', 'No', 'White', '7/7/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Indeed', 'Exceeds', 5.0, 3, 0, '2/27/2019', 0, 19)\n", + "('Blount, Dianna', 10294, 0, 0, 0, 1, 5, 2, 0, 66441, 0, 20, 'Production Technician II', 'MA', 2171, '09/21/90', 'F', 'Single', 'US Citizen', 'No', 'White', '4/4/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'CareerBuilder', 'Needs Improvement', 2.0, 3, 0, '2/27/2019', 2, 3)\n", + "('Bondwell, Betsy', 10267, 0, 0, 0, 5, 5, 3, 0, 57815, 1, 20, 'Production Technician II', 'MA', 2210, '01/16/67', 'F', 'Single', 'US Citizen', 'No', 'White', '1/10/2011', '4/4/2014', 'career change', 'Voluntarily Terminated', 'Production ', 'Elijiah Gray', 16, 'Google Search', 'Fully Meets', 4.8, 5, 0, '3/4/2014', 0, 5)\n", + "('Booth, Frank', 10199, 0, 0, 1, 4, 3, 3, 0, 103613, 1, 30, 'Enterprise Architect', 'CT', 6033, '07/30/64', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '2/17/2014', '2/19/2016', 'Learned that he is a gangster', 'Terminated for Cause', 'IT/IS', 'Simon Roup', 4, 'LinkedIn', 'Fully Meets', 3.5, 5, 7, '1/10/2016', 0, 2)\n", + "('Boutwell, Bonalyn', 10081, 1, 1, 0, 1, 1, 3, 1, 106367, 0, 26, 'Sr. Accountant', 'MA', 2468, '04/04/87', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '2/16/2015', '', 'N/A-StillEmployed', 'Active', 'Admin Offices', 'Brandon R. LeBlanc', 3, 'Diversity Job Fair', 'Fully Meets', 5.0, 4, 3, '2/18/2019', 0, 4)\n", + "('Bozzi, Charles', 10175, 0, 0, 1, 5, 5, 3, 0, 74312, 1, 18, 'Production Manager', 'MA', 1901, '03/10/70', 'M ', 'Single', 'US Citizen', 'No', 'Asian', '9/30/2013', '8/7/2014', 'retiring', 'Voluntarily Terminated', 'Production ', 'Janet King', 2, 'Indeed', 'Fully Meets', 3.39, 3, 0, '2/20/2014', 0, 14)\n", + "('Brill, Donna', 10177, 1, 1, 0, 5, 5, 3, 0, 53492, 1, 19, 'Production Technician I', 'MA', 1701, '08/24/90', 'F', 'Married', 'US Citizen', 'No', 'White', '4/2/2012', '6/15/2013', 'Another position', 'Voluntarily Terminated', 'Production ', 'David Stanley', 14, 'Google Search', 'Fully Meets', 3.35, 4, 0, '3/4/2013', 0, 6)\n", + "('Brown, Mia', 10238, 1, 1, 0, 1, 1, 3, 1, 63000, 0, 1, 'Accountant I', 'MA', 1450, '11/24/87', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '10/27/2008', '', 'N/A-StillEmployed', 'Active', 'Admin Offices', 'Brandon R. LeBlanc', 1, 'Diversity Job Fair', 'Fully Meets', 4.5, 2, 6, '1/15/2019', 0, 14)\n", + "('Buccheri, Joseph ', 10184, 0, 0, 1, 1, 5, 3, 0, 65288, 0, 20, 'Production Technician II', 'MA', 1013, '07/28/83', 'M ', 'Single', 'US Citizen', 'No', 'White', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Webster Butler', '', 'Google Search', 'Fully Meets', 3.19, 3, 0, '2/1/2019', 0, 9)\n", + "('Bugali, Josephine ', 10203, 0, 3, 0, 3, 5, 3, 1, 64375, 0, 19, 'Production Technician I', 'MA', 2043, '10/30/69', 'F', 'Separated', 'US Citizen', 'No', 'Black or African American', '11/11/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'Diversity Job Fair', 'Fully Meets', 3.5, 5, 0, '1/21/2019', 0, 17)\n", + "('Bunbury, Jessica', 10188, 1, 1, 0, 5, 6, 3, 0, 74326, 1, 3, 'Area Sales Manager', 'VA', 21851, '06/01/64', 'F', 'Married', 'Eligible NonCitizen', 'No', 'Black or African American', '8/15/2011', '8/2/2014', 'Another position', 'Voluntarily Terminated', 'Sales', 'John Smith', 17, 'Google Search', 'Fully Meets', 3.14, 5, 0, '2/10/2013', 1, 19)\n", + "('Burke, Joelle', 10107, 0, 0, 0, 1, 5, 3, 0, 63763, 0, 20, 'Production Technician II', 'MA', 2148, '03/02/80', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '3/5/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Amy Dunn', 11, 'Employee Referral', 'Fully Meets', 4.51, 4, 0, '2/21/2019', 0, 3)\n", + "('Burkett, Benjamin ', 10181, 1, 1, 1, 1, 5, 3, 0, 62162, 0, 20, 'Production Technician II', 'MA', 1890, '08/19/77', 'M ', 'Married', 'US Citizen', 'No', 'White', '4/4/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Indeed', 'Fully Meets', 3.25, 5, 0, '1/14/2019', 0, 15)\n", + "('Cady, Max ', 10150, 0, 0, 1, 1, 4, 3, 0, 77692, 0, 25, 'Software Engineering Manager', 'MA', 2184, '11/22/66', 'M ', 'Single', 'US Citizen', 'No', 'White', '8/15/2011', '', 'N/A-StillEmployed', 'Active', 'Software Engineering', 'Jennifer Zamora', 5, 'Google Search', 'Fully Meets', 3.84, 3, 5, '1/21/2019', 0, 4)\n", + "('Candie, Calvin', 10001, 0, 0, 1, 1, 5, 4, 0, 72640, 0, 18, 'Production Manager', 'MA', 2169, '08/09/83', 'M ', 'Single', 'US Citizen', 'No', 'White', '1/28/2016', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'Indeed', 'Exceeds', 5.0, 3, 0, '2/22/2019', 0, 14)\n", + "('Carabbio, Judith', 10085, 0, 0, 0, 1, 4, 3, 0, 93396, 0, 24, 'Software Engineer', 'MA', 2132, '04/05/87', 'F', 'Single', 'US Citizen', 'No', 'White', '11/11/2013', '', 'N/A-StillEmployed', 'Active', 'Software Engineering', 'Alex Sweetwater', 10, 'Indeed', 'Fully Meets', 4.96, 4, 6, '1/30/2019', 0, 3)\n", + "('Carey, Michael ', 10115, 0, 0, 1, 1, 5, 3, 0, 52846, 0, 19, 'Production Technician I', 'MA', 1701, '02/02/83', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '3/31/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'LinkedIn', 'Fully Meets', 4.43, 3, 0, '2/1/2019', 0, 14)\n", + "('Carr, Claudia N', 10082, 0, 0, 0, 2, 3, 3, 0, 100031, 0, 27, 'Sr. DBA', 'MA', 1886, '06/06/86', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '6/30/2016', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Simon Roup', 4, 'LinkedIn', 'Fully Meets', 5.0, 5, 6, '2/18/2019', 0, 7)\n", + "('Carter, Michelle ', 10040, 0, 0, 0, 1, 6, 3, 0, 71860, 0, 3, 'Area Sales Manager', 'VT', 5664, '05/15/63', 'F', 'Single', 'US Citizen', 'No', 'White', '8/18/2014', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Indeed', 'Fully Meets', 5.0, 5, 0, '1/21/2019', 0, 7)\n", + "('Chace, Beatrice ', 10067, 0, 0, 0, 1, 5, 3, 0, 61656, 0, 19, 'Production Technician I', 'MA', 2763, '01/02/51', 'F', 'Single', 'US Citizen', 'No', 'White', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'Google Search', 'Fully Meets', 5.0, 4, 0, '2/12/2019', 0, 11)\n", + "('Champaigne, Brian', 10108, 1, 1, 1, 1, 3, 3, 0, 110929, 0, 5, 'BI Director', 'MA', 2045, '02/09/72', 'M ', 'Married', 'US Citizen', 'No', 'White', '9/6/2016', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Jennifer Zamora', 5, 'Indeed', 'Fully Meets', 4.5, 5, 7, '1/15/2019', 0, 8)\n", + "('Chan, Lin', 10210, 0, 0, 0, 1, 5, 3, 0, 54237, 0, 19, 'Production Technician I', 'MA', 2170, '02/12/79', 'F', 'Single', 'US Citizen', 'No', 'White', '5/12/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Indeed', 'Fully Meets', 3.3, 4, 0, '2/19/2019', 0, 11)\n", + "('Chang, Donovan E', 10154, 0, 0, 1, 1, 5, 3, 0, 60380, 0, 19, 'Production Technician I', 'MA', 1845, '08/24/83', 'M ', 'Single', 'US Citizen', 'No', 'White', '7/8/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Webster Butler', '', 'LinkedIn', 'Fully Meets', 3.8, 5, 0, '1/14/2019', 0, 4)\n", + "('Chigurh, Anton', 10200, 0, 0, 1, 1, 6, 3, 0, 66808, 0, 3, 'Area Sales Manager', 'TX', 78207, '06/11/70', 'M ', 'Single', 'Eligible NonCitizen', 'No', 'Black or African American', '5/14/2012', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Employee Referral', 'Fully Meets', 3.0, 5, 0, '1/19/2019', 0, 17)\n", + "('Chivukula, Enola', 10240, 0, 0, 0, 5, 5, 3, 0, 64786, 1, 19, 'Production Technician I', 'MA', 1775, '08/27/83', 'F', 'Single', 'US Citizen', 'No', 'White', '6/27/2011', '11/15/2015', 'relocation out of area', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'Indeed', 'Fully Meets', 4.3, 4, 0, '3/10/2015', 0, 3)\n", + "('Cierpiszewski, Caroline ', 10168, 0, 0, 0, 1, 5, 3, 0, 64816, 0, 19, 'Production Technician I', 'MA', 2044, '05/31/88', 'F', 'Single', 'Non-Citizen', 'No', 'Black or African American', '10/3/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Indeed', 'Fully Meets', 3.58, 5, 0, '1/30/2019', 0, 3)\n", + "('Clayton, Rick', 10220, 0, 0, 1, 1, 3, 3, 0, 68678, 0, 14, 'IT Support', 'MA', 2170, '09/05/85', 'M ', 'Single', 'US Citizen', 'No', 'White', '9/5/2012', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Eric Dougall', 6, 'Indeed', 'Fully Meets', 4.7, 3, 6, '2/27/2019', 0, 2)\n", + "('Cloninger, Jennifer', 10275, 1, 1, 0, 5, 5, 3, 0, 64066, 1, 20, 'Production Technician II', 'MA', 1752, '08/31/81', 'F', 'Married', 'US Citizen', 'No', 'White', '5/16/2011', '1/7/2013', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Brannon Miller', 12, 'Google Search', 'Fully Meets', 4.2, 5, 0, '5/3/2012', 0, 9)\n", + "('Close, Phil', 10269, 1, 1, 1, 5, 5, 3, 0, 59369, 1, 20, 'Production Technician II', 'MA', 2169, '11/25/78', 'M ', 'Married', 'US Citizen', 'No', 'White', '8/30/2010', '9/26/2011', 'career change', 'Voluntarily Terminated', 'Production ', 'David Stanley', 14, 'Indeed', 'Fully Meets', 4.2, 4, 0, '5/4/2011', 0, 6)\n", + "('Clukey, Elijian', 10029, 1, 1, 1, 2, 5, 4, 0, 50373, 0, 19, 'Production Technician I', 'MA', 2134, '08/26/80', 'M ', 'Married', 'US Citizen', 'No', 'White', '7/6/2016', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Employee Referral', 'Exceeds', 4.1, 4, 0, '2/28/2019', 0, 5)\n", + "('Cockel, James', 10261, 0, 0, 1, 1, 5, 3, 0, 63108, 0, 19, 'Production Technician I', 'MA', 2452, '09/08/77', 'M ', 'Single', 'US Citizen', 'No', 'White', '7/8/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'Employee Referral', 'Fully Meets', 4.4, 5, 0, '1/14/2019', 0, 3)\n", + "('Cole, Spencer', 10292, 0, 0, 1, 4, 5, 2, 0, 59144, 1, 19, 'Production Technician I', 'MA', 1880, '08/12/79', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '7/11/2011', '9/23/2016', 'performance', 'Terminated for Cause', 'Production ', 'Kissy Sullivan', 20, 'LinkedIn', 'Needs Improvement', 2.0, 3, 0, '5/1/2016', 5, 16)\n", + "('Corleone, Michael', 10282, 0, 2, 1, 1, 5, 2, 0, 68051, 0, 18, 'Production Manager', 'MA', 1803, '12/17/75', 'M ', 'Divorced', 'US Citizen', 'No', 'White', '7/20/2010', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'CareerBuilder', 'Needs Improvement', 4.13, 2, 0, '1/14/2019', 3, 3)\n", + "('Corleone, Vito', 10019, 0, 0, 1, 1, 5, 4, 0, 170500, 0, 10, 'Director of Operations', 'MA', 2030, '03/19/83', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '1/5/2009', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'Indeed', 'Exceeds', 3.7, 5, 0, '2/4/2019', 0, 15)\n", + "('Cornett, Lisa ', 10094, 1, 1, 0, 1, 5, 3, 0, 63381, 0, 19, 'Production Technician I', 'MA', 2189, '03/31/77', 'F', 'Married', 'US Citizen', 'Yes', 'White', '1/5/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'Indeed', 'Fully Meets', 4.73, 5, 0, '2/14/2019', 0, 6)\n", + "('Costello, Frank', 10193, 1, 1, 1, 1, 3, 3, 0, 83552, 0, 9, 'Data Analyst', 'MA', 1810, '08/26/86', 'M ', 'Married', 'US Citizen', 'No', 'White', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Simon Roup', 4, 'Indeed', 'Fully Meets', 3.04, 3, 6, '1/22/2019', 0, 2)\n", + "('Crimmings, Jean', 10132, 0, 0, 0, 2, 5, 3, 0, 56149, 0, 19, 'Production Technician I', 'MA', 1821, '04/10/87', 'F', 'Single', 'US Citizen', 'No', 'White', '7/6/2016', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'LinkedIn', 'Fully Meets', 4.12, 5, 0, '1/28/2019', 0, 15)\n", + "('Cross, Noah', 10083, 0, 0, 1, 1, 3, 3, 0, 92329, 0, 28, 'Sr. Network Engineer', 'CT', 6278, '09/09/65', 'M ', 'Single', 'US Citizen', 'No', 'White', '11/10/2014', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'Employee Referral', 'Fully Meets', 5.0, 3, 4, '1/2/2019', 0, 5)\n", + "('Daneault, Lynn', 10099, 0, 0, 0, 1, 6, 3, 0, 65729, 0, 21, 'Sales Manager', 'VT', 5473, '04/19/90', 'F', 'Single', 'US Citizen', 'No', 'White', '5/5/2014', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Debra Houlihan', 15, 'Indeed', 'Fully Meets', 4.62, 4, 0, '1/24/2019', 0, 8)\n", + "('Daniele, Ann ', 10212, 1, 1, 0, 3, 3, 3, 0, 85028, 0, 28, 'Sr. Network Engineer', 'CT', 6033, '01/18/52', 'F', 'Married', 'US Citizen', 'No', 'White', '11/10/2014', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'LinkedIn', 'Fully Meets', 3.1, 5, 8, '2/12/2019', 0, 19)\n", + "(\"Darson, Jene'ya \", 10056, 1, 1, 0, 1, 5, 3, 0, 57583, 0, 19, 'Production Technician I', 'MA', 2110, '11/05/78', 'F', 'Married', 'US Citizen', 'No', 'White', '7/2/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Indeed', 'Fully Meets', 5.0, 3, 0, '2/25/2019', 0, 1)\n", + "('Davis, Daniel', 10143, 0, 0, 1, 1, 5, 3, 0, 56294, 0, 20, 'Production Technician II', 'MA', 2458, '09/14/79', 'M ', 'Single', 'Eligible NonCitizen', 'No', 'Two or more races', '11/7/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'LinkedIn', 'Fully Meets', 3.96, 4, 0, '2/27/2019', 0, 6)\n", + "('Dee, Randy', 10311, 1, 1, 1, 1, 6, 1, 0, 56991, 0, 19, 'Production Technician I', 'MA', 2138, '04/15/88', 'M ', 'Married', 'US Citizen', 'No', 'White', '7/9/2018', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Indeed', 'Fully Meets', 4.3, 4, 3, '1/31/2019', 2, 2)\n", + "('DeGweck, James', 10070, 1, 1, 1, 5, 5, 3, 0, 55722, 1, 19, 'Production Technician I', 'MA', 1810, '10/31/77', 'M ', 'Married', 'US Citizen', 'No', 'White', '5/16/2011', '6/8/2016', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Indeed', 'Fully Meets', 5.0, 4, 0, '4/2/2016', 0, 14)\n", + "('Del Bosque, Keyla', 10155, 0, 0, 0, 1, 4, 3, 0, 101199, 0, 24, 'Software Engineer', 'MA', 2176, '07/05/79', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '1/9/2012', '', 'N/A-StillEmployed', 'Active', 'Software Engineering', 'Alex Sweetwater', 10, 'CareerBuilder', 'Fully Meets', 3.79, 5, 5, '1/25/2019', 0, 8)\n", + "('Delarge, Alex', 10306, 0, 0, 1, 1, 6, 1, 0, 61568, 0, 3, 'Area Sales Manager', 'AL', 36006, '11/02/75', 'M ', 'Single', 'US Citizen', 'No', 'Two or more races', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Indeed', 'PIP', 1.93, 3, 0, '1/30/2019', 6, 5)\n", + "('Demita, Carla', 10100, 0, 3, 0, 5, 5, 3, 0, 58275, 1, 20, 'Production Technician II', 'MA', 2343, '02/25/51', 'F', 'Separated', 'US Citizen', 'No', 'Black or African American', '4/4/2011', '11/4/2015', 'more money', 'Voluntarily Terminated', 'Production ', 'Kelley Spirea', 18, 'Google Search', 'Fully Meets', 4.62, 5, 0, '5/6/2015', 0, 1)\n", + "('Desimone, Carl ', 10310, 1, 1, 1, 1, 5, 1, 0, 53189, 0, 19, 'Production Technician I', 'MA', 2061, '04/19/67', 'M ', 'Married', 'US Citizen', 'No', 'White', '7/7/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Amy Dunn', 11, 'Indeed', 'PIP', 1.12, 2, 0, '1/31/2019', 4, 9)\n", + "('DeVito, Tommy', 10197, 0, 0, 1, 1, 3, 3, 0, 96820, 0, 4, 'BI Developer', 'MA', 2045, '09/04/83', 'M ', 'Single', 'US Citizen', 'No', 'White', '2/15/2017', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Brian Champaigne', 13, 'Indeed', 'Fully Meets', 3.01, 5, 7, '1/23/2019', 0, 15)\n", + "('Dickinson, Geoff ', 10276, 0, 0, 1, 1, 5, 3, 0, 51259, 0, 19, 'Production Technician I', 'MA', 2180, '11/15/82', 'M ', 'Single', 'US Citizen', 'No', 'White', '5/12/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Indeed', 'Fully Meets', 4.3, 4, 0, '2/19/2019', 0, 1)\n", + "('Dietrich, Jenna ', 10304, 0, 0, 0, 1, 6, 1, 0, 59231, 0, 3, 'Area Sales Manager', 'WA', 98052, '05/14/87', 'F', 'Single', 'US Citizen', 'Yes', 'White', '2/20/2012', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Website', 'PIP', 2.3, 1, 0, '1/29/2019', 2, 17)\n", + "('DiNocco, Lily ', 10284, 1, 1, 0, 1, 5, 2, 0, 61584, 0, 19, 'Production Technician I', 'MA', 2351, '12/02/78', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '1/7/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Indeed', 'Needs Improvement', 3.88, 4, 0, '1/18/2019', 0, 6)\n", + "('Dobrin, Denisa S', 10207, 0, 0, 0, 1, 5, 3, 0, 46335, 0, 19, 'Production Technician I', 'MA', 2125, '10/07/86', 'F', 'Single', 'US Citizen', 'Yes', 'White', '4/2/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'CareerBuilder', 'Fully Meets', 3.4, 5, 0, '2/19/2019', 0, 15)\n", + "('Dolan, Linda', 10133, 1, 1, 0, 1, 3, 3, 0, 70621, 0, 14, 'IT Support', 'MA', 2119, '07/18/88', 'F', 'Married', 'US Citizen', 'No', 'White', '1/5/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'Employee Referral', 'Fully Meets', 4.11, 4, 6, '2/25/2019', 0, 16)\n", + "('Dougall, Eric', 10028, 0, 0, 1, 1, 3, 4, 0, 138888, 0, 13, 'IT Manager - Support', 'MA', 1886, '07/09/70', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '1/5/2014', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Jennifer Zamora', 5, 'Indeed', 'Exceeds', 4.3, 5, 5, '1/4/2019', 0, 4)\n", + "('Driver, Elle', 10006, 0, 0, 0, 1, 6, 4, 0, 74241, 0, 3, 'Area Sales Manager', 'CA', 90007, '11/08/88', 'F', 'Single', 'US Citizen', 'No', 'White', '1/10/2011', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Indeed', 'Exceeds', 4.77, 5, 0, '1/27/2019', 0, 14)\n", + "('Dunn, Amy ', 10105, 0, 0, 0, 1, 5, 3, 0, 75188, 0, 18, 'Production Manager', 'MA', 1731, '11/28/73', 'F', 'Single', 'US Citizen', 'No', 'White', '9/18/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'Google Search', 'Fully Meets', 4.52, 4, 0, '1/15/2019', 0, 4)\n", + "('Dunne, Amy', 10211, 1, 1, 0, 1, 5, 3, 0, 62514, 0, 19, 'Production Technician I', 'MA', 1749, '09/23/73', 'F', 'Married', 'US Citizen', 'No', 'White', '4/26/2010', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Google Search', 'Fully Meets', 2.9, 3, 0, '1/21/2019', 0, 6)\n", + "('Eaton, Marianne', 10064, 1, 1, 0, 5, 5, 3, 0, 60070, 1, 19, 'Production Technician I', 'MA', 2343, '09/05/91', 'F', 'Married', 'US Citizen', 'No', 'White', '4/4/2011', '6/6/2017', 'military', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'Google Search', 'Fully Meets', 5.0, 3, 0, '4/9/2017', 0, 7)\n", + "('Engdahl, Jean', 10247, 0, 0, 1, 1, 5, 3, 0, 48888, 0, 19, 'Production Technician I', 'MA', 2026, '05/31/74', 'M ', 'Single', 'US Citizen', 'No', 'White', '11/10/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'LinkedIn', 'Fully Meets', 4.7, 5, 0, '2/13/2019', 0, 8)\n", + "('England, Rex', 10235, 1, 1, 1, 1, 5, 3, 0, 54285, 0, 19, 'Production Technician I', 'MA', 2045, '08/25/78', 'M ', 'Married', 'US Citizen', 'No', 'White', '3/31/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'Employee Referral', 'Fully Meets', 4.2, 3, 0, '1/11/2019', 0, 3)\n", + "('Erilus, Angela', 10299, 0, 3, 0, 1, 5, 1, 0, 56847, 0, 20, 'Production Technician II', 'MA', 2133, '08/25/89', 'F', 'Separated', 'US Citizen', 'No', 'White', '7/7/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'Indeed', 'PIP', 3.0, 1, 0, '2/25/2019', 2, 5)\n", + "('Estremera, Miguel', 10280, 0, 0, 1, 4, 5, 2, 0, 60340, 1, 19, 'Production Technician I', 'MA', 2129, '09/02/83', 'M ', 'Single', 'US Citizen', 'No', 'White', '4/2/2012', '9/27/2018', 'attendance', 'Terminated for Cause', 'Production ', 'Michael Albert', 22, 'Google Search', 'Needs Improvement', 5.0, 4, 0, '4/12/2018', 5, 16)\n", + "('Evensen, April', 10296, 0, 0, 0, 4, 5, 2, 0, 59124, 1, 19, 'Production Technician I', 'MA', 2458, '05/06/89', 'F', 'Single', 'US Citizen', 'No', 'White', '2/17/2014', '2/25/2018', 'no-call, no-show', 'Terminated for Cause', 'Production ', 'Elijiah Gray', 16, 'Google Search', 'Needs Improvement', 2.3, 3, 0, '1/15/2017', 5, 19)\n", + "('Exantus, Susan', 10290, 1, 1, 0, 4, 4, 2, 0, 99280, 1, 24, 'Software Engineer', 'MA', 1749, '05/15/87', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '5/2/2011', '6/5/2013', 'attendance', 'Terminated for Cause', 'Software Engineering', 'Alex Sweetwater', 10, 'Indeed', 'Needs Improvement', 2.1, 5, 4, '8/10/2012', 4, 19)\n", + "('Faller, Megan ', 10263, 1, 1, 0, 1, 5, 3, 0, 71776, 0, 20, 'Production Technician II', 'MA', 1824, '09/22/78', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '7/7/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'LinkedIn', 'Fully Meets', 4.4, 5, 0, '2/22/2019', 0, 17)\n", + "('Fancett, Nicole', 10136, 0, 0, 0, 1, 5, 3, 0, 65902, 0, 20, 'Production Technician II', 'MA', 2324, '09/27/87', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '2/17/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Webster Butler', '', 'LinkedIn', 'Fully Meets', 4.0, 4, 0, '1/7/2019', 0, 7)\n", + "('Ferguson, Susan', 10189, 1, 1, 0, 5, 5, 3, 0, 57748, 1, 19, 'Production Technician I', 'MA', 2176, '04/14/55', 'F', 'Married', 'US Citizen', 'No', 'White', '11/7/2011', '5/17/2016', 'military', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Google Search', 'Fully Meets', 3.13, 3, 0, '2/4/2016', 0, 16)\n", + "('Fernandes, Nilson ', 10308, 1, 1, 1, 1, 5, 1, 0, 64057, 0, 19, 'Production Technician I', 'MA', 2132, '10/18/89', 'M ', 'Married', 'US Citizen', 'No', 'White', '5/11/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Amy Dunn', 11, 'Indeed', 'PIP', 1.56, 5, 0, '1/3/2019', 6, 15)\n", + "('Fett, Boba', 10309, 0, 0, 1, 1, 3, 1, 0, 53366, 0, 15, 'Network Engineer', 'MA', 2138, '06/18/87', 'M ', 'Single', 'US Citizen', 'No', 'White', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'LinkedIn', 'PIP', 1.2, 3, 6, '2/4/2019', 3, 2)\n", + "('Fidelia, Libby', 10049, 1, 1, 0, 1, 5, 3, 0, 58530, 0, 19, 'Production Technician I', 'MA', 2155, '03/16/81', 'F', 'Married', 'US Citizen', 'No', 'White', '1/9/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Google Search', 'Fully Meets', 5.0, 5, 0, '1/29/2019', 0, 19)\n", + "('Fitzpatrick, Michael J', 10093, 0, 0, 1, 5, 5, 3, 0, 72609, 1, 20, 'Production Technician II', 'MA', 2143, '10/01/81', 'M ', 'Single', 'US Citizen', 'Yes', 'White', '5/16/2011', '6/24/2013', 'hours', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'Google Search', 'Fully Meets', 4.76, 5, 0, '4/5/2013', 0, 20)\n", + "('Foreman, Tanya', 10163, 1, 1, 0, 5, 5, 3, 0, 55965, 1, 20, 'Production Technician II', 'MA', 2170, '11/08/83', 'F', 'Married', 'US Citizen', 'No', 'White', '4/4/2011', '1/9/2013', 'career change', 'Voluntarily Terminated', 'Production ', 'Ketsia Liebig', 19, 'Google Search', 'Fully Meets', 3.66, 3, 0, '1/7/2012', 0, 6)\n", + "('Forrest, Alex', 10305, 1, 1, 1, 1, 6, 3, 0, 70187, 1, 3, 'Area Sales Manager', 'MA', 2330, '07/07/75', 'M ', 'Married', 'US Citizen', 'No', 'White', '9/29/2014', '8/19/2018', 'Fatal attraction', 'Terminated for Cause', 'Sales', 'Lynn Daneault', 21, 'Employee Referral', 'PIP', 2.0, 5, 0, '1/28/2019', 4, 7)\n", + "('Foss, Jason', 10015, 0, 0, 1, 1, 3, 4, 0, 178000, 0, 12, 'IT Director', 'MA', 1460, '07/05/80', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '4/15/2011', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Jennifer Zamora', 5, 'Indeed', 'Exceeds', 5.0, 5, 5, '1/7/2019', 0, 15)\n", + "('Foster-Baker, Amy', 10080, 1, 1, 0, 1, 1, 3, 0, 99351, 0, 26, 'Sr. Accountant', 'MA', 2050, '04/16/79', 'F', 'Married', 'US Citizen', 'no', 'White', '1/5/2009', '', 'N/A-StillEmployed', 'Active', 'Admin Offices', 'Board of Directors', 9, 'Other', 'Fully Meets', 5.0, 3, 2, '2/8/2019', 0, 3)\n", + "('Fraval, Maruk ', 10258, 0, 0, 1, 1, 6, 3, 0, 67251, 0, 3, 'Area Sales Manager', 'CT', 6050, '08/28/63', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '9/6/2011', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'CareerBuilder', 'Fully Meets', 4.3, 3, 0, '1/27/2019', 2, 7)\n", + "('Galia, Lisa', 10273, 0, 0, 0, 1, 3, 3, 0, 65707, 0, 14, 'IT Support', 'CT', 6040, '07/06/68', 'F', 'Single', 'US Citizen', 'No', 'White', '5/1/2010', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Eric Dougall', 6, 'LinkedIn', 'Fully Meets', 4.7, 4, 5, '2/1/2019', 0, 1)\n", + "('Garcia, Raul', 10111, 0, 0, 1, 1, 5, 3, 0, 52249, 0, 19, 'Production Technician I', 'MA', 1905, '09/15/85', 'M ', 'Single', 'US Citizen', 'Yes', 'White', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'Employee Referral', 'Fully Meets', 4.5, 3, 0, '2/18/2019', 0, 5)\n", + "('Gaul, Barbara', 10257, 0, 0, 0, 1, 5, 3, 0, 53171, 0, 19, 'Production Technician I', 'MA', 2121, '12/02/83', 'F', 'Single', 'US Citizen', 'Yes', 'Black or African American', '5/16/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'LinkedIn', 'Fully Meets', 4.2, 4, 0, '2/26/2019', 0, 12)\n", + "('Gentry, Mildred', 10159, 1, 1, 0, 1, 5, 3, 0, 51337, 0, 19, 'Production Technician I', 'MA', 2145, '10/01/90', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'LinkedIn', 'Fully Meets', 3.73, 3, 0, '1/16/2019', 0, 19)\n", + "('Gerke, Melisa', 10122, 0, 2, 0, 5, 5, 3, 1, 51505, 1, 19, 'Production Technician I', 'MA', 2330, '05/15/70', 'F', 'Divorced', 'US Citizen', 'No', 'Black or African American', '11/7/2011', '11/15/2016', 'hours', 'Voluntarily Terminated', 'Production ', 'Elijiah Gray', 16, 'Diversity Job Fair', 'Fully Meets', 4.24, 4, 0, '4/29/2016', 0, 2)\n", + "('Gill, Whitney ', 10142, 0, 4, 0, 4, 6, 3, 0, 59370, 1, 3, 'Area Sales Manager', 'OH', 43050, '07/10/71', 'F', 'Widowed', 'US Citizen', 'No', 'Black or African American', '7/7/2014', '9/5/2015', 'attendance', 'Terminated for Cause', 'Sales', 'John Smith', 17, 'CareerBuilder', 'Fully Meets', 3.97, 4, 0, '1/15/2014', 0, 7)\n", + "('Gilles, Alex', 10283, 1, 1, 1, 5, 5, 2, 1, 54933, 1, 19, 'Production Technician I', 'MA', 2062, '08/09/74', 'M ', 'Married', 'US Citizen', 'No', 'Black or African American', '4/2/2012', '6/25/2015', 'military', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Diversity Job Fair', 'Needs Improvement', 3.97, 4, 0, '1/20/2015', 3, 15)\n", + "('Girifalco, Evelyn', 10018, 0, 0, 0, 1, 5, 4, 0, 57815, 0, 19, 'Production Technician I', 'MA', 2451, '05/08/80', 'F', 'Single', 'US Citizen', 'Yes', 'Two or more races', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Amy Dunn', 11, 'Indeed', 'Exceeds', 3.9, 4, 0, '2/7/2019', 0, 3)\n", + "('Givens, Myriam', 10255, 0, 0, 0, 1, 6, 3, 0, 61555, 0, 3, 'Area Sales Manager', 'IN', 46204, '09/22/89', 'F', 'Single', 'US Citizen', 'No', 'White', '2/16/2015', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Indeed', 'Fully Meets', 4.5, 5, 0, '1/25/2019', 0, 20)\n", + "('Goble, Taisha', 10246, 0, 0, 0, 4, 3, 3, 0, 114800, 1, 8, 'Database Administrator', 'MA', 2127, '10/23/71', 'F', 'Single', 'US Citizen', 'No', 'White', '2/16/2015', '3/15/2015', 'no-call, no-show', 'Terminated for Cause', 'IT/IS', 'Simon Roup', 4, 'Indeed', 'Fully Meets', 4.6, 4, 4, '1/20/2015', 0, 10)\n", + "('Goeth, Amon', 10228, 1, 1, 1, 1, 3, 3, 0, 74679, 0, 14, 'IT Support', 'MA', 2135, '11/24/89', 'M ', 'Married', 'US Citizen', 'Yes', 'White', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'LinkedIn', 'Fully Meets', 4.3, 5, 7, '1/10/2019', 0, 20)\n", + "('Gold, Shenice ', 10243, 0, 0, 0, 1, 5, 3, 0, 53018, 0, 19, 'Production Technician I', 'MA', 2451, '06/18/92', 'F', 'Single', 'US Citizen', 'Yes', 'White', '11/11/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Indeed', 'Fully Meets', 4.3, 5, 0, '2/18/2019', 0, 7)\n", + "('Gonzalez, Cayo', 10031, 0, 2, 1, 1, 5, 4, 1, 59892, 0, 19, 'Production Technician I', 'MA', 2108, '09/29/69', 'M ', 'Divorced', 'US Citizen', 'No', 'Black or African American', '7/11/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Diversity Job Fair', 'Exceeds', 4.5, 4, 0, '2/18/2019', 0, 1)\n", + "('Gonzalez, Juan', 10300, 1, 1, 1, 5, 5, 1, 1, 68898, 1, 20, 'Production Technician II', 'MA', 2128, '10/12/64', 'M ', 'Married', 'US Citizen', 'No', 'Black or African American', '4/26/2010', '5/30/2011', 'career change', 'Voluntarily Terminated', 'Production ', 'Brannon Miller', 12, 'Diversity Job Fair', 'PIP', 3.0, 3, 0, '3/6/2011', 3, 10)\n", + "('Gonzalez, Maria', 10101, 0, 3, 0, 1, 3, 3, 0, 61242, 0, 14, 'IT Support', 'MA', 2472, '04/16/81', 'F', 'Separated', 'US Citizen', 'Yes', 'White', '1/5/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'Employee Referral', 'Fully Meets', 4.61, 4, 5, '1/28/2019', 0, 11)\n", + "('Good, Susan', 10237, 1, 1, 0, 3, 5, 3, 0, 66825, 0, 20, 'Production Technician II', 'MA', 1886, '05/25/86', 'F', 'Married', 'US Citizen', 'No', 'White', '5/12/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Fully Meets', 4.6, 3, 0, '2/7/2019', 0, 20)\n", + "('Gordon, David', 10051, 1, 1, 1, 1, 5, 3, 0, 48285, 0, 19, 'Production Technician I', 'MA', 2169, '05/21/79', 'M ', 'Married', 'US Citizen', 'No', 'White', '7/2/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Fully Meets', 5.0, 3, 0, '1/14/2019', 0, 2)\n", + "('Gosciminski, Phylicia ', 10218, 0, 3, 0, 3, 5, 3, 0, 66149, 0, 20, 'Production Technician II', 'MA', 1824, '12/08/83', 'F', 'Separated', 'US Citizen', 'No', 'American Indian or Alaska Native', '9/30/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'Google Search', 'Fully Meets', 4.4, 5, 0, '2/21/2019', 0, 1)\n", + "('Goyal, Roxana', 10256, 1, 1, 0, 3, 5, 3, 0, 49256, 0, 19, 'Production Technician I', 'MA', 1864, '10/09/74', 'F', 'Married', 'US Citizen', 'No', 'Asian', '8/19/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'LinkedIn', 'Fully Meets', 4.1, 5, 0, '2/15/2019', 0, 3)\n", + "('Gray, Elijiah ', 10098, 0, 2, 1, 1, 5, 3, 0, 62957, 0, 18, 'Production Manager', 'MA', 1752, '07/11/81', 'M ', 'Divorced', 'US Citizen', 'No', 'White', '6/2/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'Employee Referral', 'Fully Meets', 4.63, 3, 0, '1/4/2019', 0, 2)\n", + "('Gross, Paula', 10059, 0, 2, 0, 5, 5, 3, 0, 63813, 1, 19, 'Production Technician I', 'MA', 2176, '05/21/83', 'F', 'Divorced', 'US Citizen', 'No', 'White', '2/21/2011', '1/11/2014', 'more money', 'Voluntarily Terminated', 'Production ', 'Kelley Spirea', 18, 'CareerBuilder', 'Fully Meets', 5.0, 5, 0, '6/3/2013', 0, 17)\n", + "('Gruber, Hans', 10234, 1, 1, 1, 1, 3, 3, 0, 99020, 0, 4, 'BI Developer', 'MA', 2134, '06/30/89', 'M ', 'Married', 'US Citizen', 'No', 'Black or African American', '4/20/2017', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Brian Champaigne', 13, 'Indeed', 'Fully Meets', 4.2, 5, 5, '1/28/2019', 0, 8)\n", + "('Guilianno, Mike', 10109, 0, 0, 1, 5, 6, 3, 0, 71707, 1, 3, 'Area Sales Manager', 'TN', 37129, '02/09/69', 'M ', 'Single', 'US Citizen', 'No', 'Two or more races', '3/7/2012', '10/31/2014', 'relocation out of area', 'Voluntarily Terminated', 'Sales', 'John Smith', 17, 'LinkedIn', 'Fully Meets', 4.5, 5, 0, '2/1/2013', 0, 20)\n", + "('Handschiegl, Joanne', 10125, 1, 1, 0, 1, 5, 3, 0, 54828, 0, 19, 'Production Technician I', 'MA', 2127, '03/23/77', 'F', 'Married', 'US Citizen', 'No', 'White', '11/28/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'Google Search', 'Fully Meets', 4.2, 4, 0, '2/22/2019', 0, 13)\n", + "('Hankard, Earnest', 10074, 0, 0, 1, 1, 5, 3, 0, 64246, 0, 20, 'Production Technician II', 'MA', 2155, '08/10/88', 'M ', 'Single', 'US Citizen', 'Yes', 'White', '11/11/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'LinkedIn', 'Fully Meets', 5.0, 3, 0, '1/8/2019', 0, 20)\n", + "('Harrington, Christie ', 10097, 0, 0, 0, 5, 5, 3, 0, 52177, 1, 19, 'Production Technician I', 'MA', 2324, '08/18/52', 'F', 'Single', 'US Citizen', 'No', 'White', '1/9/2012', '12/15/2015', 'retiring', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'CareerBuilder', 'Fully Meets', 4.64, 4, 0, '5/2/2015', 0, 8)\n", + "('Harrison, Kara', 10007, 1, 1, 0, 1, 5, 4, 0, 62065, 0, 19, 'Production Technician I', 'MA', 1886, '05/02/74', 'F', 'Married', 'US Citizen', 'No', 'White', '5/12/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Amy Dunn', 11, 'CareerBuilder', 'Exceeds', 4.76, 4, 0, '2/15/2019', 0, 5)\n", + "('Heitzman, Anthony', 10129, 0, 0, 1, 1, 5, 3, 0, 46998, 0, 19, 'Production Technician I', 'MA', 2149, '01/04/84', 'M ', 'Single', 'US Citizen', 'No', 'White', '8/13/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Google Search', 'Fully Meets', 4.17, 4, 0, '2/11/2019', 0, 1)\n", + "('Hendrickson, Trina', 10075, 0, 0, 0, 5, 5, 3, 0, 68099, 1, 20, 'Production Technician II', 'MA', 2021, '08/27/72', 'F', 'Single', 'US Citizen', 'No', 'White', '1/10/2011', '6/18/2013', 'hours', 'Voluntarily Terminated', 'Production ', 'Kelley Spirea', 18, 'CareerBuilder', 'Fully Meets', 5.0, 3, 0, '1/30/2013', 0, 15)\n", + "('Hitchcock, Alfred', 10167, 1, 1, 1, 1, 6, 3, 0, 70545, 0, 3, 'Area Sales Manager', 'NH', 3062, '09/14/88', 'M ', 'Married', 'US Citizen', 'No', 'American Indian or Alaska Native', '8/18/2014', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Indeed', 'Fully Meets', 3.6, 5, 0, '1/30/2019', 0, 9)\n", + "('Homberger, Adrienne J', 10195, 1, 1, 0, 5, 5, 3, 0, 63478, 1, 20, 'Production Technician II', 'MA', 2445, '02/16/84', 'F', 'Married', 'Non-Citizen', 'No', 'White', '8/15/2011', '4/7/2012', 'relocation out of area', 'Voluntarily Terminated', 'Production ', 'Michael Albert', 30, 'Indeed', 'Fully Meets', 3.03, 5, 0, '3/5/2012', 0, 16)\n", + "('Horton, Jayne', 10112, 0, 0, 0, 1, 3, 3, 0, 97999, 0, 8, 'Database Administrator', 'MA', 2493, '02/21/84', 'F', 'Single', 'US Citizen', 'No', 'White', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Simon Roup', 4, 'Indeed', 'Fully Meets', 4.48, 5, 6, '1/3/2019', 0, 4)\n", + "('Houlihan, Debra', 10272, 1, 1, 0, 1, 6, 3, 0, 180000, 0, 11, 'Director of Sales', 'RI', 2908, '03/17/66', 'F', 'Married', 'US Citizen', 'No', 'White', '5/5/2014', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Janet King', 2, 'LinkedIn', 'Fully Meets', 4.5, 4, 0, '1/21/2019', 0, 19)\n", + "('Howard, Estelle', 10182, 1, 1, 0, 1, 1, 3, 0, 49920, 1, 2, 'Administrative Assistant', 'MA', 2170, '09/16/85', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '2/16/2015', '4/15/2015', 'no-call, no-show', 'Terminated for Cause', 'Admin Offices', 'Brandon R. LeBlanc', 1, 'Indeed', 'Fully Meets', 3.24, 3, 4, '4/15/2015', 0, 6)\n", + "('Hudson, Jane', 10248, 0, 0, 0, 1, 5, 3, 0, 55425, 0, 19, 'Production Technician I', 'MA', 2176, '06/10/86', 'F', 'Single', 'US Citizen', 'No', 'White', '2/20/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'LinkedIn', 'Fully Meets', 4.8, 4, 0, '1/7/2019', 0, 4)\n", + "('Hunts, Julissa', 10201, 0, 0, 0, 2, 5, 3, 0, 69340, 0, 20, 'Production Technician II', 'MA', 2021, '03/11/84', 'F', 'Single', 'US Citizen', 'No', 'White', '6/6/2016', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'LinkedIn', 'Fully Meets', 3.0, 5, 0, '1/18/2019', 0, 4)\n", + "('Hutter, Rosalie', 10214, 0, 3, 0, 2, 5, 3, 0, 64995, 0, 20, 'Production Technician II', 'MA', 2351, '05/07/92', 'F', 'Separated', 'US Citizen', 'No', 'White', '6/5/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Webster Butler', '', 'Indeed', 'Fully Meets', 4.5, 3, 0, '2/14/2019', 0, 6)\n", + "('Huynh, Ming', 10160, 0, 2, 0, 5, 5, 3, 0, 68182, 1, 20, 'Production Technician II', 'MA', 1742, '09/22/76', 'F', 'Divorced', 'US Citizen', 'No', 'White', '2/21/2011', '4/1/2013', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'Google Search', 'Fully Meets', 3.72, 3, 0, '2/1/2013', 0, 18)\n", + "('Immediato, Walter', 10289, 1, 1, 1, 5, 5, 2, 0, 83082, 1, 18, 'Production Manager', 'MA', 2128, '11/15/76', 'M ', 'Married', 'US Citizen', 'No', 'Asian', '2/21/2011', '9/24/2012', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Janet King', 2, 'Indeed', 'Needs Improvement', 2.34, 2, 0, '4/12/2012', 3, 4)\n", + "('Ivey, Rose ', 10139, 0, 0, 0, 1, 5, 3, 0, 51908, 0, 19, 'Production Technician I', 'MA', 1775, '01/28/91', 'F', 'Single', 'US Citizen', 'No', 'White', '8/19/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Indeed', 'Fully Meets', 3.99, 3, 0, '1/14/2019', 0, 14)\n", + "('Jackson, Maryellen', 10227, 0, 0, 0, 1, 5, 3, 0, 61242, 0, 19, 'Production Technician I', 'MA', 2081, '09/11/72', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '11/5/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Fully Meets', 4.1, 3, 0, '1/17/2019', 0, 7)\n", + "('Jacobi, Hannah ', 10236, 0, 2, 0, 1, 5, 3, 0, 45069, 0, 19, 'Production Technician I', 'MA', 1778, '03/22/66', 'F', 'Divorced', 'US Citizen', 'No', 'White', '9/30/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'Employee Referral', 'Fully Meets', 4.3, 5, 0, '2/22/2019', 0, 7)\n", + "('Jeannite, Tayana', 10009, 0, 2, 0, 1, 5, 4, 0, 60724, 0, 20, 'Production Technician II', 'MA', 1821, '11/06/86', 'F', 'Divorced', 'US Citizen', 'No', 'American Indian or Alaska Native', '7/5/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'LinkedIn', 'Exceeds', 4.6, 4, 0, '2/25/2019', 0, 11)\n", + "('Jhaveri, Sneha ', 10060, 0, 3, 0, 1, 5, 3, 0, 60436, 0, 19, 'Production Technician I', 'MA', 2109, '04/13/64', 'F', 'Separated', 'US Citizen', 'No', 'White', '1/6/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'LinkedIn', 'Fully Meets', 5.0, 5, 0, '1/21/2019', 0, 9)\n", + "('Johnson, George', 10034, 1, 1, 1, 5, 5, 4, 0, 46837, 1, 19, 'Production Technician I', 'MA', 2445, '08/19/59', 'M ', 'Married', 'US Citizen', 'No', 'White', '11/7/2011', '4/29/2018', 'more money', 'Voluntarily Terminated', 'Production ', 'Michael Albert', 22, 'CareerBuilder', 'Exceeds', 4.7, 4, 0, '2/14/2018', 0, 9)\n", + "('Johnson, Noelle ', 10156, 1, 1, 0, 3, 3, 3, 0, 105700, 0, 8, 'Database Administrator', 'MA', 2301, '11/07/86', 'F', 'Married', 'US Citizen', 'No', 'Asian', '1/5/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Simon Roup', 4, 'Indeed', 'Fully Meets', 3.75, 3, 5, '2/11/2019', 0, 2)\n", + "('Johnston, Yen', 10036, 0, 0, 0, 1, 5, 4, 0, 63322, 0, 20, 'Production Technician II', 'MA', 2128, '09/08/69', 'F', 'Single', 'US Citizen', 'No', 'White', '7/7/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'LinkedIn', 'Exceeds', 4.3, 3, 0, '1/11/2019', 0, 1)\n", + "('Jung, Judy ', 10138, 1, 1, 0, 5, 5, 3, 0, 61154, 1, 19, 'Production Technician I', 'MA', 2446, '04/17/86', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '1/10/2011', '4/1/2016', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Elijiah Gray', 16, 'CareerBuilder', 'Fully Meets', 4.0, 4, 0, '2/3/2016', 0, 4)\n", + "('Kampew, Donysha', 10244, 0, 0, 0, 5, 6, 3, 0, 68999, 1, 21, 'Sales Manager', 'PA', 19444, '11/11/89', 'F', 'Single', 'US Citizen', 'No', 'White', '11/7/2011', '4/24/2014', 'maternity leave - did not return', 'Voluntarily Terminated', 'Sales', 'Debra Houlihan', 15, 'Google Search', 'Fully Meets', 4.5, 5, 0, '3/30/2013', 0, 2)\n", + "('Keatts, Kramer ', 10192, 0, 0, 1, 1, 5, 3, 0, 50482, 0, 19, 'Production Technician I', 'MA', 1887, '01/19/76', 'M ', 'Single', 'US Citizen', 'No', 'White', '9/30/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'Indeed', 'Fully Meets', 3.07, 4, 0, '1/23/2019', 0, 10)\n", + "('Khemmich, Bartholemew', 10231, 0, 0, 1, 1, 6, 3, 0, 65310, 0, 3, 'Area Sales Manager', 'CO', 80820, '11/27/79', 'M ', 'Single', 'US Citizen', 'No', 'White', '8/19/2013', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Indeed', 'Fully Meets', 4.3, 5, 0, '1/22/2019', 0, 13)\n", + "('King, Janet', 10089, 1, 1, 0, 1, 2, 3, 0, 250000, 0, 16, 'President & CEO', 'MA', 1902, '09/21/54', 'F', 'Married', 'US Citizen', 'Yes', 'White', '7/2/2012', '', 'N/A-StillEmployed', 'Active', 'Executive Office', 'Board of Directors', 9, 'Indeed', 'Fully Meets', 4.83, 3, 0, '1/17/2019', 0, 10)\n", + "('Kinsella, Kathleen ', 10166, 1, 1, 0, 5, 5, 3, 0, 54005, 1, 19, 'Production Technician I', 'MA', 2170, '12/08/73', 'F', 'Married', 'US Citizen', 'No', 'White', '9/26/2011', '6/4/2015', 'more money', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Google Search', 'Fully Meets', 3.6, 5, 0, '3/1/2015', 0, 16)\n", + "('Kirill, Alexandra ', 10170, 1, 1, 0, 5, 5, 3, 0, 45433, 1, 19, 'Production Technician I', 'MA', 2127, '10/08/70', 'F', 'Married', 'US Citizen', 'No', 'White', '9/26/2011', '1/9/2014', 'more money', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'Google Search', 'Fully Meets', 3.49, 4, 0, '1/30/2013', 0, 6)\n", + "('Knapp, Bradley J', 10208, 0, 0, 1, 1, 5, 3, 0, 46654, 0, 19, 'Production Technician I', 'MA', 1721, '11/10/77', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '2/17/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'LinkedIn', 'Fully Meets', 3.1, 3, 0, '2/6/2019', 0, 3)\n", + "('Kretschmer, John', 10176, 1, 1, 1, 1, 5, 3, 0, 63973, 0, 19, 'Production Technician I', 'MA', 1801, '02/02/80', 'M ', 'Married', 'US Citizen', 'No', 'Asian', '1/10/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Indeed', 'Fully Meets', 3.38, 3, 0, '1/21/2019', 0, 17)\n", + "('Kreuger, Freddy', 10165, 0, 0, 1, 1, 6, 3, 1, 71339, 0, 3, 'Area Sales Manager', 'NY', 10171, '02/24/69', 'M ', 'Single', 'US Citizen', 'Yes', 'Black or African American', '3/7/2011', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Diversity Job Fair', 'Fully Meets', 3.65, 5, 0, '1/17/2019', 0, 20)\n", + "('Lajiri, Jyoti', 10113, 1, 1, 1, 3, 3, 3, 0, 93206, 0, 28, 'Sr. Network Engineer', 'MA', 2169, '04/23/86', 'M ', 'Married', 'US Citizen', 'No', 'White', '11/10/2014', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'Employee Referral', 'Fully Meets', 4.46, 5, 6, '1/7/2019', 0, 7)\n", + "('Landa, Hans', 10092, 1, 1, 1, 4, 5, 3, 0, 82758, 1, 18, 'Production Manager', 'MA', 1890, '07/01/72', 'M ', 'Married', 'US Citizen', 'No', 'White', '1/10/2011', '12/12/2015', 'attendance', 'Terminated for Cause', 'Production ', 'Janet King', 2, 'Employee Referral', 'Fully Meets', 4.78, 4, 0, '2/15/2015', 0, 9)\n", + "('Langford, Lindsey', 10106, 0, 2, 0, 5, 5, 3, 0, 66074, 1, 20, 'Production Technician II', 'MA', 2090, '07/25/79', 'F', 'Divorced', 'US Citizen', 'No', 'Asian', '1/7/2013', '3/31/2014', 'Another position', 'Voluntarily Terminated', 'Production ', 'David Stanley', 14, 'Indeed', 'Fully Meets', 4.52, 3, 0, '2/20/2014', 0, 20)\n", + "('Langton, Enrico', 10052, 1, 1, 1, 1, 5, 3, 0, 46120, 0, 19, 'Production Technician I', 'MA', 2048, '12/09/86', 'M ', 'Married', 'US Citizen', 'No', 'White', '7/9/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Fully Meets', 5.0, 5, 0, '2/4/2019', 0, 13)\n", + "('LaRotonda, William ', 10038, 0, 2, 1, 1, 1, 3, 0, 64520, 0, 1, 'Accountant I', 'MA', 1460, '04/26/84', 'M ', 'Divorced', 'US Citizen', 'No', 'Black or African American', '1/6/2014', '', 'N/A-StillEmployed', 'Active', 'Admin Offices', 'Brandon R. LeBlanc', 1, 'Website', 'Fully Meets', 5.0, 4, 4, '1/17/2019', 0, 3)\n", + "('Latif, Mohammed', 10249, 1, 1, 1, 5, 5, 3, 0, 61962, 1, 20, 'Production Technician II', 'MA', 2126, '05/09/84', 'M ', 'Married', 'US Citizen', 'No', 'White', '4/2/2012', '4/15/2013', 'more money', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'Google Search', 'Fully Meets', 4.9, 3, 0, '2/20/2013', 0, 20)\n", + "('Le, Binh', 10232, 0, 0, 0, 1, 3, 3, 0, 81584, 0, 22, 'Senior BI Developer', 'MA', 1886, '06/14/87', 'F', 'Single', 'US Citizen', 'No', 'Asian', '10/2/2016', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Brian Champaigne', 13, 'Indeed', 'Fully Meets', 4.1, 5, 7, '1/8/2019', 0, 2)\n", + "('Leach, Dallas', 10087, 0, 0, 0, 5, 5, 3, 0, 63676, 1, 19, 'Production Technician I', 'MA', 1810, '01/17/79', 'F', 'Single', 'US Citizen', 'No', 'Asian', '9/26/2011', '8/19/2018', 'return to school', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'CareerBuilder', 'Fully Meets', 4.88, 3, 0, '7/2/2017', 0, 17)\n", + "('LeBlanc, Brandon R', 10134, 1, 1, 1, 1, 1, 3, 0, 93046, 0, 23, 'Shared Services Manager', 'MA', 1460, '06/10/84', 'M ', 'Married', 'US Citizen', 'No', 'White', '1/5/2016', '', 'N/A-StillEmployed', 'Active', 'Admin Offices', 'Janet King', 2, 'CareerBuilder', 'Fully Meets', 4.1, 4, 0, '1/28/2019', 0, 20)\n", + "('Lecter, Hannibal', 10251, 1, 1, 1, 1, 5, 3, 0, 64738, 0, 19, 'Production Technician I', 'MA', 1776, '09/02/82', 'M ', 'Married', 'US Citizen', 'No', 'Asian', '5/14/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Google Search', 'Fully Meets', 4.1, 3, 0, '2/22/2019', 0, 10)\n", + "('Leruth, Giovanni', 10103, 0, 3, 1, 1, 6, 3, 0, 70468, 0, 3, 'Area Sales Manager', 'UT', 84111, '12/27/88', 'M ', 'Separated', 'US Citizen', 'No', 'Black or African American', '4/30/2012', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Website', 'Fully Meets', 4.53, 3, 0, '1/29/2019', 0, 16)\n", + "('Liebig, Ketsia', 10017, 1, 1, 0, 1, 5, 4, 0, 77915, 0, 18, 'Production Manager', 'MA', 2110, '10/26/81', 'F', 'Married', 'US Citizen', 'No', 'White', '9/30/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'Website', 'Exceeds', 4.1, 3, 0, '1/21/2019', 0, 11)\n", + "('Linares, Marilyn ', 10186, 1, 1, 0, 5, 5, 3, 0, 52624, 1, 19, 'Production Technician I', 'MA', 1886, '03/26/81', 'F', 'Married', 'US Citizen', 'No', 'White', '7/5/2011', '9/26/2018', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Michael Albert', 22, 'Indeed', 'Fully Meets', 3.18, 4, 0, '3/2/2018', 0, 16)\n", + "('Linden, Mathew', 10137, 1, 1, 1, 3, 5, 3, 0, 63450, 0, 20, 'Production Technician II', 'MA', 1770, '03/19/79', 'M ', 'Married', 'US Citizen', 'No', 'White', '7/8/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'LinkedIn', 'Fully Meets', 4.0, 3, 0, '2/18/2019', 0, 7)\n", + "('Lindsay, Leonara ', 10008, 0, 0, 0, 1, 3, 4, 1, 51777, 0, 14, 'IT Support', 'CT', 6070, '10/05/88', 'F', 'Single', 'US Citizen', 'Yes', 'Black or African American', '1/21/2011', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Eric Dougall', 6, 'Diversity Job Fair', 'Exceeds', 4.64, 4, 5, '1/25/2019', 0, 14)\n", + "('Lundy, Susan', 10096, 0, 4, 0, 5, 5, 3, 0, 67237, 1, 20, 'Production Technician II', 'MA', 2122, '12/26/76', 'F', 'Widowed', 'US Citizen', 'No', 'White', '7/8/2013', '9/15/2016', 'more money', 'Voluntarily Terminated', 'Production ', 'Michael Albert', 22, 'LinkedIn', 'Fully Meets', 4.65, 4, 0, '6/10/2016', 0, 15)\n", + "('Lunquist, Lisa', 10035, 0, 0, 0, 1, 5, 4, 0, 73330, 0, 20, 'Production Technician II', 'MA', 2324, '03/28/82', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '8/19/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Indeed', 'Exceeds', 4.2, 4, 0, '2/12/2019', 0, 19)\n", + "('Lydon, Allison', 10057, 1, 1, 0, 3, 5, 3, 0, 52057, 0, 19, 'Production Technician I', 'MA', 2122, '10/22/75', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '2/16/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Website', 'Fully Meets', 5.0, 3, 0, '1/23/2019', 0, 6)\n", + "('Lynch, Lindsay', 10004, 0, 0, 0, 5, 5, 4, 1, 47434, 1, 19, 'Production Technician I', 'MA', 1844, '02/14/73', 'F', 'Single', 'US Citizen', 'Yes', 'Black or African American', '11/7/2011', '11/14/2015', 'Another position', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Diversity Job Fair', 'Exceeds', 5.0, 4, 0, '2/2/2015', 0, 17)\n", + "('MacLennan, Samuel', 10191, 0, 4, 1, 5, 5, 3, 0, 52788, 1, 19, 'Production Technician I', 'MA', 1938, '11/09/72', 'M ', 'Widowed', 'US Citizen', 'No', 'White', '9/24/2012', '9/26/2017', 'hours', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'Indeed', 'Fully Meets', 3.08, 4, 0, '4/1/2017', 0, 18)\n", + "('Mahoney, Lauren ', 10219, 0, 0, 0, 1, 5, 3, 0, 45395, 0, 19, 'Production Technician I', 'MA', 2189, '07/07/86', 'F', 'Single', 'US Citizen', 'No', 'White', '1/6/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'LinkedIn', 'Fully Meets', 4.6, 4, 0, '2/26/2019', 0, 14)\n", + "('Manchester, Robyn', 10077, 1, 1, 0, 2, 5, 3, 0, 62385, 0, 20, 'Production Technician II', 'MA', 2324, '08/25/76', 'F', 'Married', 'US Citizen', 'No', 'White', '5/11/2016', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Webster Butler', '', 'LinkedIn', 'Fully Meets', 5.0, 3, 0, '1/21/2019', 0, 4)\n", + "('Mancuso, Karen', 10073, 1, 1, 0, 5, 5, 3, 0, 68407, 1, 20, 'Production Technician II', 'MA', 2176, '12/10/86', 'F', 'Married', 'US Citizen', 'No', 'Two or more races', '7/5/2011', '8/19/2012', 'Another position', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'LinkedIn', 'Fully Meets', 5.0, 4, 0, '7/2/2012', 0, 16)\n", + "('Mangal, Debbie', 10279, 1, 1, 0, 1, 5, 3, 0, 61349, 0, 19, 'Production Technician I', 'MA', 2451, '11/07/74', 'F', 'Married', 'US Citizen', 'No', 'White', '11/11/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'LinkedIn', 'Fully Meets', 4.1, 3, 0, '1/22/2019', 0, 11)\n", + "('Martin, Sandra', 10110, 0, 0, 0, 1, 4, 3, 0, 105688, 0, 24, 'Software Engineer', 'MA', 2135, '11/07/87', 'F', 'Single', 'US Citizen', 'No', 'Asian', '11/11/2013', '', 'N/A-StillEmployed', 'Active', 'Software Engineering', 'Alex Sweetwater', 10, 'Google Search', 'Fully Meets', 4.5, 5, 4, '1/14/2019', 0, 14)\n", + "('Maurice, Shana', 10053, 1, 1, 0, 1, 5, 3, 0, 54132, 0, 19, 'Production Technician I', 'MA', 2330, '11/22/77', 'F', 'Married', 'US Citizen', 'No', 'White', '5/31/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'Indeed', 'Fully Meets', 5.0, 4, 0, '1/10/2019', 0, 8)\n", + "(\"Carthy, B'rigit\", 10076, 0, 0, 0, 1, 5, 3, 0, 55315, 0, 20, 'Production Technician II', 'MA', 2149, '05/21/87', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'LinkedIn', 'Fully Meets', 5.0, 5, 0, '2/7/2019', 0, 16)\n", + "('Mckenna, Sandy', 10145, 1, 1, 0, 1, 5, 3, 0, 62810, 0, 19, 'Production Technician I', 'MA', 2184, '01/07/87', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '1/7/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'CareerBuilder', 'Fully Meets', 3.93, 3, 0, '1/30/2019', 0, 20)\n", + "('McKinzie, Jac', 10202, 1, 1, 1, 2, 6, 3, 0, 63291, 0, 3, 'Area Sales Manager', 'TX', 78789, '07/01/84', 'M ', 'Married', 'US Citizen', 'No', 'Two or more races', '7/6/2016', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Website', 'Fully Meets', 3.4, 4, 0, '1/29/2019', 0, 7)\n", + "('Meads, Elizabeth', 10128, 0, 0, 0, 5, 5, 3, 1, 62659, 1, 19, 'Production Technician I', 'MA', 1760, '05/30/68', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '4/2/2012', '11/11/2016', 'Another position', 'Voluntarily Terminated', 'Production ', 'Kelley Spirea', 18, 'Diversity Job Fair', 'Fully Meets', 4.18, 4, 0, '2/5/2016', 0, 17)\n", + "('Medeiros, Jennifer', 10068, 0, 0, 0, 1, 5, 3, 0, 55688, 0, 19, 'Production Technician I', 'MA', 2346, '09/22/76', 'F', 'Single', 'US Citizen', 'No', 'White', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'CareerBuilder', 'Fully Meets', 5.0, 4, 0, '1/21/2019', 0, 10)\n", + "('Miller, Brannon', 10116, 0, 0, 1, 1, 5, 3, 0, 83667, 0, 18, 'Production Manager', 'MA', 2045, '08/10/81', 'M ', 'Single', 'US Citizen', 'yes', 'Hispanic', '8/16/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'Indeed', 'Fully Meets', 4.37, 3, 0, '1/14/2019', 0, 2)\n", + "('Miller, Ned', 10298, 0, 0, 1, 5, 5, 1, 0, 55800, 1, 20, 'Production Technician II', 'MA', 2472, '06/29/85', 'M ', 'Single', 'US Citizen', 'No', 'White', '8/15/2011', '9/4/2014', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Brannon Miller', 12, 'LinkedIn', 'PIP', 3.0, 2, 0, '1/14/2013', 6, 6)\n", + "('Monkfish, Erasumus', 10213, 1, 1, 1, 1, 5, 3, 0, 58207, 0, 20, 'Production Technician II', 'MA', 1450, '08/17/92', 'M ', 'Married', 'US Citizen', 'No', 'White', '11/7/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Fully Meets', 3.7, 3, 0, '1/8/2019', 0, 14)\n", + "('Monroe, Peter', 10288, 1, 1, 1, 1, 3, 2, 1, 157000, 0, 13, 'IT Manager - Infra', 'MA', 2134, '10/05/86', 'M ', 'Married', 'Eligible NonCitizen', 'Yes', 'Black or African American', '2/15/2012', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Jennifer Zamora', 5, 'Diversity Job Fair', 'Needs Improvement', 2.39, 3, 6, '2/22/2019', 4, 13)\n", + "('Monterro, Luisa', 10025, 0, 0, 0, 1, 5, 4, 0, 72460, 0, 20, 'Production Technician II', 'MA', 2126, '04/24/70', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '5/13/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'Indeed', 'Exceeds', 4.7, 3, 0, '1/14/2019', 0, 1)\n", + "('Moran, Patrick', 10223, 0, 0, 1, 3, 5, 3, 1, 72106, 0, 20, 'Production Technician II', 'MA', 2127, '12/03/76', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '1/9/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'Diversity Job Fair', 'Fully Meets', 4.1, 4, 0, '1/31/2019', 0, 12)\n", + "('Morway, Tanya', 10151, 1, 1, 0, 1, 3, 3, 0, 52599, 0, 15, 'Network Engineer', 'MA', 2048, '04/04/79', 'F', 'Married', 'US Citizen', 'No', 'White', '2/16/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'CareerBuilder', 'Fully Meets', 3.81, 3, 6, '2/11/2019', 0, 6)\n", + "('Motlagh, Dawn', 10254, 0, 2, 0, 1, 5, 3, 0, 63430, 0, 19, 'Production Technician I', 'MA', 2453, '07/07/84', 'F', 'Divorced', 'US Citizen', 'No', 'White', '4/1/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'LinkedIn', 'Fully Meets', 4.4, 4, 0, '1/17/2019', 0, 18)\n", + "('Moumanil, Maliki ', 10120, 0, 3, 1, 1, 5, 3, 0, 74417, 0, 20, 'Production Technician II', 'MA', 1460, '12/01/74', 'M ', 'Separated', 'US Citizen', 'No', 'Black or African American', '5/13/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'LinkedIn', 'Fully Meets', 4.29, 5, 0, '1/28/2019', 0, 11)\n", + "('Myers, Michael', 10216, 0, 0, 1, 1, 5, 3, 0, 57575, 0, 19, 'Production Technician I', 'MA', 1550, '04/18/80', 'M ', 'Single', 'US Citizen', 'No', 'Asian', '7/8/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'LinkedIn', 'Fully Meets', 4.1, 4, 0, '1/22/2019', 0, 13)\n", + "('Navathe, Kurt', 10079, 0, 0, 1, 1, 3, 3, 0, 87921, 0, 22, 'Senior BI Developer', 'MA', 2056, '04/25/70', 'M ', 'Single', 'US Citizen', 'No', 'Asian', '2/10/2017', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Brian Champaigne', 13, 'Indeed', 'Fully Meets', 5.0, 3, 6, '2/25/2019', 0, 17)\n", + "('Ndzi, Colombui', 10215, 0, 0, 1, 5, 5, 3, 1, 50470, 1, 19, 'Production Technician I', 'MA', 2110, '05/02/89', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '9/26/2011', '4/4/2014', 'return to school', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Diversity Job Fair', 'Fully Meets', 4.3, 3, 0, '3/2/2013', 0, 19)\n", + "('Ndzi, Horia', 10185, 1, 1, 1, 5, 5, 3, 0, 46664, 1, 19, 'Production Technician I', 'MA', 2421, '03/28/83', 'M ', 'Married', 'US Citizen', 'No', 'White', '4/1/2013', '5/25/2016', 'more money', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'Employee Referral', 'Fully Meets', 3.18, 3, 0, '3/6/2016', 0, 10)\n", + "('Newman, Richard ', 10063, 1, 1, 1, 3, 5, 3, 0, 48495, 0, 19, 'Production Technician I', 'MA', 2136, '04/08/77', 'M ', 'Married', 'US Citizen', 'No', 'White', '5/12/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'LinkedIn', 'Fully Meets', 5.0, 5, 0, '2/18/2019', 0, 11)\n", + "('Ngodup, Shari ', 10037, 0, 3, 0, 1, 5, 4, 1, 52984, 0, 19, 'Production Technician I', 'MA', 1810, '06/03/67', 'F', 'Separated', 'US Citizen', 'No', 'Black or African American', '4/1/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Diversity Job Fair', 'Exceeds', 4.0, 3, 0, '2/13/2019', 0, 12)\n", + "('Nguyen, Dheepa', 10042, 0, 0, 0, 1, 6, 3, 0, 63695, 0, 3, 'Area Sales Manager', 'GA', 30428, '03/31/89', 'F', 'Single', 'US Citizen', 'No', 'Two or more races', '7/8/2013', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Indeed', 'Fully Meets', 5.0, 5, 0, '1/25/2019', 0, 2)\n", + "('Nguyen, Lei-Ming', 10206, 0, 0, 0, 1, 5, 3, 0, 62061, 0, 19, 'Production Technician I', 'MA', 2132, '07/07/84', 'F', 'Single', 'US Citizen', 'No', 'White', '7/8/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Fully Meets', 3.6, 5, 0, '1/2/2019', 0, 4)\n", + "('Nowlan, Kristie', 10104, 0, 0, 0, 1, 5, 3, 0, 66738, 0, 20, 'Production Technician II', 'MA', 1040, '11/23/85', 'F', 'Single', 'US Citizen', 'No', 'White', '11/10/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Indeed', 'Fully Meets', 4.53, 5, 0, '1/16/2019', 0, 5)\n", + "(\"O'hare, Lynn\", 10303, 0, 0, 0, 4, 5, 1, 0, 52674, 1, 19, 'Production Technician I', 'MA', 2152, '09/30/80', 'F', 'Single', 'US Citizen', 'No', 'Two or more races', '3/31/2014', '5/1/2018', 'performance', 'Terminated for Cause', 'Production ', 'Kissy Sullivan', 20, 'LinkedIn', 'PIP', 2.33, 2, 0, '3/9/2018', 6, 3)\n", + "('Oliver, Brooke ', 10078, 1, 1, 0, 5, 5, 3, 0, 71966, 1, 20, 'Production Technician II', 'MA', 2492, '02/11/52', 'F', 'Married', 'US Citizen', 'No', 'Asian', '5/14/2012', '8/19/2013', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'LinkedIn', 'Fully Meets', 5.0, 3, 0, '7/2/2013', 0, 17)\n", + "('Onque, Jasmine', 10121, 0, 0, 0, 1, 6, 3, 0, 63051, 0, 3, 'Area Sales Manager', 'FL', 33174, '05/11/90', 'F', 'Single', 'US Citizen', 'Yes', 'White', '9/30/2013', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Indeed', 'Fully Meets', 4.28, 3, 0, '1/25/2019', 0, 1)\n", + "('Osturnka, Adeel', 10021, 1, 1, 1, 1, 5, 4, 0, 47414, 0, 19, 'Production Technician I', 'MA', 2478, '12/11/76', 'M ', 'Married', 'US Citizen', 'No', 'White', '9/30/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'LinkedIn', 'Exceeds', 5.0, 3, 0, '2/7/2019', 0, 13)\n", + "('Owad, Clinton', 10281, 0, 0, 1, 1, 5, 2, 0, 53060, 0, 19, 'Production Technician I', 'MA', 1760, '11/24/79', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '2/17/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'LinkedIn', 'Needs Improvement', 4.25, 3, 0, '2/4/2019', 4, 6)\n", + "('Ozark, Travis', 10041, 0, 0, 1, 1, 6, 3, 0, 68829, 0, 3, 'Area Sales Manager', 'NC', 27229, '05/19/82', 'M ', 'Single', 'US Citizen', 'No', 'White', '1/5/2015', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Website', 'Fully Meets', 5.0, 5, 0, '1/14/2019', 0, 18)\n", + "('Panjwani, Nina', 10148, 1, 1, 0, 5, 5, 3, 0, 63515, 1, 19, 'Production Technician I', 'MA', 2351, '05/01/79', 'F', 'Married', 'US Citizen', 'No', 'White', '2/7/2011', '1/12/2014', 'Another position', 'Voluntarily Terminated', 'Production ', 'Elijiah Gray', 16, 'Google Search', 'Fully Meets', 3.89, 4, 0, '3/4/2013', 0, 7)\n", + "('Patronick, Lucas', 10005, 0, 0, 1, 5, 4, 4, 1, 108987, 1, 24, 'Software Engineer', 'MA', 1844, '02/20/79', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '11/7/2011', '9/7/2015', 'Another position', 'Voluntarily Terminated', 'Software Engineering', 'Alex Sweetwater', 10, 'Diversity Job Fair', 'Exceeds', 5.0, 5, 3, '8/16/2015', 0, 13)\n", + "('Pearson, Randall', 10259, 1, 1, 1, 5, 3, 3, 0, 93093, 1, 9, 'Data Analyst', 'MA', 2747, '09/05/84', 'M ', 'Married', 'US Citizen', 'No', 'White', '12/1/2014', '5/1/2016', 'performance', 'Voluntarily Terminated', 'IT/IS', 'Simon Roup', 4, 'Employee Referral', 'Fully Meets', 4.7, 4, 5, '1/16/2016', 0, 19)\n", + "('Smith, Martin', 10286, 0, 0, 1, 5, 5, 2, 0, 53564, 1, 19, 'Production Technician I', 'MA', 2458, '03/17/88', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '1/10/2011', '12/28/2017', 'career change', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Google Search', 'Needs Improvement', 3.54, 5, 0, '4/6/2017', 4, 15)\n", + "('Pelletier, Ermine', 10297, 1, 1, 0, 5, 5, 2, 0, 60270, 1, 20, 'Production Technician II', 'MA', 2472, '07/18/89', 'F', 'Married', 'US Citizen', 'No', 'Asian', '7/5/2011', '9/15/2015', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'CareerBuilder', 'Needs Improvement', 2.4, 5, 0, '2/6/2015', 5, 2)\n", + "('Perry, Shakira', 10171, 0, 0, 0, 5, 5, 3, 0, 45998, 1, 19, 'Production Technician I', 'MA', 2176, '07/20/86', 'F', 'Single', 'US Citizen', 'No', 'White', '5/16/2011', '10/25/2015', 'medical issues', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'LinkedIn', 'Fully Meets', 3.45, 4, 0, '5/13/2014', 0, 5)\n", + "('Peters, Lauren', 10032, 1, 1, 0, 5, 5, 4, 0, 57954, 1, 20, 'Production Technician II', 'MA', 1886, '08/17/86', 'F', 'Married', 'US Citizen', 'No', 'White', '5/16/2011', '2/4/2013', 'more money', 'Voluntarily Terminated', 'Production ', 'Ketsia Liebig', 19, 'Indeed', 'Exceeds', 4.2, 5, 0, '1/10/2013', 0, 12)\n", + "('Peterson, Ebonee ', 10130, 1, 1, 0, 5, 5, 3, 0, 74669, 1, 18, 'Production Manager', 'MA', 2030, '05/09/77', 'F', 'Married', 'US Citizen', 'No', 'White', '10/25/2010', '5/18/2016', 'Another position', 'Voluntarily Terminated', 'Production ', 'Janet King', 2, 'Indeed', 'Fully Meets', 4.16, 5, 0, '3/5/2015', 0, 6)\n", + "('Petingill, Shana ', 10217, 1, 1, 0, 1, 5, 3, 0, 74226, 0, 20, 'Production Technician II', 'MA', 2050, '03/10/79', 'F', 'Married', 'Eligible NonCitizen', 'No', 'Asian', '4/2/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'LinkedIn', 'Fully Meets', 4.3, 3, 0, '1/14/2019', 0, 14)\n", + "('Petrowsky, Thelma', 10016, 1, 1, 0, 1, 3, 4, 0, 93554, 0, 9, 'Data Analyst', 'MA', 1886, '09/16/84', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '11/10/2014', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Simon Roup', 4, 'Employee Referral', 'Exceeds', 4.6, 5, 7, '1/4/2019', 0, 16)\n", + "('Pham, Hong', 10050, 1, 1, 1, 5, 5, 3, 0, 64724, 1, 19, 'Production Technician I', 'MA', 2451, '03/06/88', 'M ', 'Married', 'US Citizen', 'No', 'Asian', '7/5/2011', '11/30/2012', 'more money', 'Voluntarily Terminated', 'Production ', 'Brannon Miller', 12, 'Google Search', 'Fully Meets', 5.0, 3, 0, '2/20/2012', 0, 13)\n", + "('Pitt, Brad ', 10164, 0, 0, 1, 1, 5, 3, 0, 47001, 0, 19, 'Production Technician I', 'MA', 2451, '11/23/81', 'M ', 'Single', 'US Citizen', 'No', 'White', '11/5/2007', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'Google Search', 'Fully Meets', 3.66, 3, 0, '2/25/2019', 0, 15)\n", + "('Potts, Xana', 10124, 1, 1, 0, 1, 6, 3, 0, 61844, 0, 3, 'Area Sales Manager', 'KY', 40220, '08/29/88', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '1/9/2012', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Website', 'Fully Meets', 4.2, 5, 0, '2/1/2019', 0, 9)\n", + "('Power, Morissa', 10187, 0, 2, 0, 5, 5, 3, 0, 46799, 1, 19, 'Production Technician I', 'MA', 1742, '10/15/84', 'F', 'Divorced', 'Eligible NonCitizen', 'No', 'Asian', '5/16/2011', '6/4/2018', 'Another position', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'Google Search', 'Fully Meets', 3.17, 4, 0, '4/2/2018', 0, 14)\n", + "('Punjabhi, Louis ', 10225, 0, 0, 1, 1, 5, 3, 0, 59472, 0, 19, 'Production Technician I', 'MA', 2109, '06/19/61', 'M ', 'Single', 'US Citizen', 'No', 'White', '1/6/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'Employee Referral', 'Fully Meets', 4.8, 3, 0, '1/7/2019', 0, 14)\n", + "('Purinton, Janine', 10262, 0, 2, 0, 5, 5, 3, 0, 46430, 1, 19, 'Production Technician I', 'MA', 2474, '09/22/70', 'F', 'Divorced', 'US Citizen', 'No', 'White', '9/24/2012', '6/18/2013', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'Indeed', 'Fully Meets', 4.5, 5, 0, '4/2/2013', 0, 16)\n", + "('Quinn, Sean', 10131, 1, 1, 1, 5, 1, 3, 1, 83363, 1, 23, 'Software Engineer', 'MA', 2045, '11/06/84', 'M ', 'Married', 'Eligible NonCitizen', 'No', 'Black or African American', '2/21/2011', '8/15/2015', 'career change', 'Voluntarily Terminated', 'Software Engineering', 'Janet King', 2, 'Diversity Job Fair', 'Fully Meets', 4.15, 4, 0, '4/19/2014', 0, 4)\n", + "('Rachael, Maggie', 10239, 1, 1, 0, 1, 3, 3, 0, 95920, 0, 4, 'BI Developer', 'MA', 2110, '05/12/80', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '10/2/2016', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Brian Champaigne', 13, 'Indeed', 'Fully Meets', 4.4, 4, 6, '2/6/2019', 0, 10)\n", + "('Rarrick, Quinn', 10152, 0, 2, 1, 5, 5, 3, 0, 61729, 1, 19, 'Production Technician I', 'MA', 2478, '12/31/84', 'M ', 'Divorced', 'US Citizen', 'No', 'White', '9/26/2011', '4/7/2018', 'more money', 'Voluntarily Terminated', 'Production ', 'Michael Albert', 22, 'Indeed', 'Fully Meets', 3.8, 5, 0, '2/4/2018', 0, 19)\n", + "('Ren, Kylo', 10140, 1, 1, 1, 1, 6, 3, 0, 61809, 0, 3, 'Area Sales Manager', 'ID', 83706, '10/12/54', 'M ', 'Married', 'US Citizen', 'No', 'White', '5/12/2014', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'CareerBuilder', 'Fully Meets', 3.98, 3, 0, '1/28/2019', 0, 4)\n", + "('Rhoads, Thomas', 10058, 0, 2, 1, 5, 5, 3, 0, 45115, 1, 19, 'Production Technician I', 'MA', 2176, '07/22/82', 'M ', 'Divorced', 'US Citizen', 'Yes', 'White', '5/16/2011', '1/15/2016', 'retiring', 'Voluntarily Terminated', 'Production ', 'Elijiah Gray', 16, 'LinkedIn', 'Fully Meets', 5.0, 4, 0, '3/30/2015', 0, 11)\n", + "('Rivera, Haley ', 10011, 1, 1, 0, 1, 5, 4, 0, 46738, 0, 19, 'Production Technician I', 'MA', 2171, '01/12/73', 'F', 'Married', 'US Citizen', 'No', 'Asian', '11/28/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Webster Butler', '', 'Google Search', 'Exceeds', 4.36, 5, 0, '2/11/2019', 0, 16)\n", + "('Roberson, May', 10230, 0, 2, 0, 5, 5, 3, 0, 64971, 1, 20, 'Production Technician II', 'MA', 1902, '09/05/81', 'F', 'Divorced', 'Eligible NonCitizen', 'No', 'Black or African American', '9/26/2011', '10/22/2011', 'return to school', 'Voluntarily Terminated', 'Production ', 'David Stanley', 14, 'Google Search', 'Fully Meets', 4.5, 4, 0, '10/22/2011', 0, 10)\n", + "('Robertson, Peter', 10224, 1, 1, 1, 5, 5, 3, 0, 55578, 1, 20, 'Production Technician II', 'MA', 2138, '07/03/72', 'M ', 'Married', 'US Citizen', 'No', 'White', '7/5/2011', '2/8/2012', 'Another position', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'Indeed', 'Fully Meets', 4.2, 5, 0, '1/6/2012', 0, 13)\n", + "('Robinson, Alain ', 10047, 1, 1, 1, 5, 5, 3, 0, 50428, 1, 19, 'Production Technician I', 'MA', 1420, '01/07/74', 'M ', 'Married', 'US Citizen', 'No', 'Black or African American', '1/10/2011', '1/26/2016', 'attendance', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'Indeed', 'Fully Meets', 5.0, 3, 0, '1/10/2015', 0, 11)\n", + "('Robinson, Cherly', 10285, 1, 1, 0, 4, 5, 2, 0, 61422, 1, 19, 'Production Technician I', 'MA', 1460, '01/07/85', 'F', 'Married', 'US Citizen', 'No', 'White', '1/10/2011', '5/17/2016', 'attendance', 'Terminated for Cause', 'Production ', 'Ketsia Liebig', 19, 'Indeed', 'Needs Improvement', 3.6, 3, 0, '4/5/2016', 4, 16)\n", + "('Robinson, Elias', 10020, 0, 4, 1, 1, 5, 4, 0, 63353, 0, 19, 'Production Technician I', 'MA', 1730, '01/28/85', 'M ', 'Widowed', 'US Citizen', 'No', 'White', '7/8/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Employee Referral', 'Exceeds', 3.6, 5, 0, '2/11/2019', 0, 4)\n", + "('Roby, Lori ', 10162, 1, 1, 0, 1, 3, 3, 0, 89883, 0, 9, 'Data Analyst', 'MA', 1886, '10/11/81', 'F', 'Married', 'US Citizen', 'No', 'White', '2/16/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Simon Roup', 4, 'Employee Referral', 'Fully Meets', 3.69, 5, 6, '2/14/2019', 0, 15)\n", + "('Roehrich, Bianca', 10149, 0, 0, 0, 5, 3, 3, 0, 120000, 1, 29, 'Principal Data Architect', 'MA', 2703, '05/27/73', 'F', 'Single', 'US Citizen', 'Yes', 'White', '1/5/2015', '11/10/2018', 'Another position', 'Voluntarily Terminated', 'IT/IS', 'Simon Roup', 4, 'LinkedIn', 'Fully Meets', 3.88, 3, 7, '2/13/2018', 0, 12)\n", + "('Roper, Katie', 10086, 0, 0, 0, 1, 3, 3, 0, 150290, 0, 7, 'Data Architect', 'MA', 2056, '11/21/72', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '1/7/2017', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Brian Champaigne', 13, 'Indeed', 'Fully Meets', 4.94, 3, 5, '2/6/2019', 0, 17)\n", + "('Rose, Ashley ', 10054, 0, 3, 0, 1, 5, 3, 0, 60627, 0, 19, 'Production Technician I', 'MA', 1886, '12/05/74', 'F', 'Separated', 'US Citizen', 'No', 'White', '1/6/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'Website', 'Fully Meets', 5.0, 4, 0, '1/31/2019', 0, 8)\n", + "('Rossetti, Bruno', 10065, 0, 0, 1, 5, 5, 3, 0, 53180, 1, 19, 'Production Technician I', 'MA', 2155, '03/18/87', 'M ', 'Single', 'US Citizen', 'No', 'White', '4/4/2011', '8/13/2018', 'Another position', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'Google Search', 'Fully Meets', 5.0, 5, 0, '7/2/2018', 0, 4)\n", + "('Roup,Simon', 10198, 0, 0, 1, 1, 3, 3, 0, 140920, 0, 13, 'IT Manager - DB', 'MA', 2481, '04/05/73', 'M ', 'Single', 'US Citizen', 'No', 'White', '1/20/2013', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Jennifer Zamora', 5, 'Indeed', 'Fully Meets', 3.6, 5, 7, '2/18/2019', 0, 13)\n", + "('Ruiz, Ricardo', 10222, 0, 2, 1, 5, 3, 3, 1, 148999, 1, 13, 'IT Manager - DB', 'MA', 1915, '01/04/64', 'M ', 'Divorced', 'US Citizen', 'No', 'Black or African American', '1/9/2012', '11/4/2015', 'hours', 'Voluntarily Terminated', 'IT/IS', 'Jennifer Zamora', 5, 'Diversity Job Fair', 'Fully Meets', 4.3, 4, 6, '1/4/2015', 0, 8)\n", + "('Saada, Adell', 10126, 1, 1, 0, 1, 4, 3, 0, 86214, 0, 24, 'Software Engineer', 'MA', 2132, '07/24/86', 'F', 'Married', 'US Citizen', 'No', 'White', '11/5/2012', '', 'N/A-StillEmployed', 'Active', 'Software Engineering', 'Alex Sweetwater', 10, 'Indeed', 'Fully Meets', 4.2, 3, 6, '2/13/2019', 0, 2)\n", + "('Saar-Beckles, Melinda', 10295, 0, 0, 0, 2, 5, 2, 1, 47750, 0, 19, 'Production Technician I', 'MA', 1801, '06/06/68', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '7/4/2016', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'Diversity Job Fair', 'Needs Improvement', 2.6, 4, 0, '2/18/2019', 5, 4)\n", + "('Sadki, Nore ', 10260, 0, 0, 1, 5, 5, 3, 0, 46428, 1, 19, 'Production Technician I', 'MA', 2148, '12/21/74', 'M ', 'Single', 'US Citizen', 'No', 'White', '1/5/2009', '7/30/2018', 'relocation out of area', 'Voluntarily Terminated', 'Production ', 'Michael Albert', 22, 'Google Search', 'Fully Meets', 4.6, 5, 0, '2/5/2018', 0, 7)\n", + "('Sahoo, Adil', 10233, 1, 1, 1, 1, 5, 3, 0, 57975, 0, 20, 'Production Technician II', 'MA', 2062, '04/26/86', 'M ', 'Married', 'US Citizen', 'No', 'White', '8/30/2010', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'CareerBuilder', 'Fully Meets', 4.1, 3, 0, '1/10/2019', 0, 13)\n", + "('Salter, Jason', 10229, 0, 2, 1, 5, 3, 3, 0, 88527, 1, 9, 'Data Analyst ', 'MA', 2452, '12/17/87', 'M ', 'Divorced', 'US Citizen', 'No', 'Black or African American', '1/5/2015', '10/31/2015', 'hours', 'Voluntarily Terminated', 'IT/IS', 'Simon Roup', 4, 'LinkedIn', 'Fully Meets', 4.2, 3, 5, '4/20/2015', 0, 2)\n", + "('Sander, Kamrin', 10169, 1, 1, 0, 1, 5, 3, 0, 56147, 0, 19, 'Production Technician I', 'MA', 2154, '07/10/88', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'LinkedIn', 'Fully Meets', 3.51, 3, 0, '2/18/2019', 0, 2)\n", + "('Sewkumar, Nori', 10071, 0, 0, 0, 3, 5, 3, 0, 50923, 0, 19, 'Production Technician I', 'MA', 2191, '03/10/75', 'F', 'Single', 'US Citizen', 'No', 'Asian', '9/30/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Webster Butler', '', 'Google Search', 'Fully Meets', 5.0, 5, 0, '2/6/2019', 0, 14)\n", + "('Shepard, Anita ', 10179, 1, 1, 0, 1, 3, 3, 0, 50750, 0, 15, 'Network Engineer', 'MA', 1773, '04/14/81', 'F', 'Married', 'US Citizen', 'No', 'White', '9/30/2014', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'LinkedIn', 'Fully Meets', 3.31, 3, 6, '1/7/2019', 0, 7)\n", + "('Shields, Seffi', 10091, 1, 1, 0, 1, 5, 3, 0, 52087, 0, 19, 'Production Technician I', 'MA', 2149, '08/24/85', 'F', 'Married', 'US Citizen', 'No', 'White', '8/19/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Amy Dunn', 11, 'LinkedIn', 'Fully Meets', 4.81, 4, 0, '2/15/2019', 0, 15)\n", + "('Simard, Kramer', 10178, 1, 1, 1, 1, 3, 3, 0, 87826, 0, 9, 'Data Analyst', 'MA', 2110, '02/08/70', 'M ', 'Married', 'US Citizen', 'Yes', 'White', '1/5/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Simon Roup', 4, 'Employee Referral', 'Fully Meets', 3.32, 3, 7, '1/14/2019', 0, 16)\n", + "('Singh, Nan ', 10039, 0, 0, 0, 1, 1, 3, 0, 51920, 0, 2, 'Administrative Assistant', 'MA', 2330, '05/19/88', 'F', 'Single', 'US Citizen', 'No', 'White', '5/1/2015', '', 'N/A-StillEmployed', 'Active', 'Admin Offices', 'Brandon R. LeBlanc', 1, 'Website', 'Fully Meets', 5.0, 3, 5, '1/15/2019', 0, 2)\n", + "('Sloan, Constance', 10095, 0, 0, 0, 5, 5, 3, 0, 63878, 1, 20, 'Production Technician II', 'MA', 1851, '11/25/87', 'F', 'Single', 'US Citizen', 'No', 'White', '10/26/2009', '4/8/2015', 'maternity leave - did not return', 'Voluntarily Terminated', 'Production ', 'Michael Albert', 22, 'CareerBuilder', 'Fully Meets', 4.68, 4, 0, '4/2/2015', 0, 20)\n", + "('Smith, Joe', 10027, 0, 0, 1, 1, 5, 4, 0, 60656, 0, 20, 'Production Technician II', 'MA', 2045, '10/30/63', 'M ', 'Single', 'US Citizen', 'No', 'White', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Indeed', 'Exceeds', 4.3, 3, 0, '1/28/2019', 0, 4)\n", + "('Smith, John', 10291, 0, 2, 1, 1, 6, 2, 1, 72992, 0, 21, 'Sales Manager', 'MA', 1886, '08/16/84', 'M ', 'Divorced', 'US Citizen', 'No', 'Black or African American', '5/18/2014', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Debra Houlihan', 15, 'Diversity Job Fair', 'Needs Improvement', 2.4, 4, 0, '1/16/2019', 2, 16)\n", + "('Smith, Leigh Ann', 10153, 1, 1, 0, 5, 1, 3, 1, 55000, 1, 2, 'Administrative Assistant', 'MA', 1844, '06/14/87', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '9/26/2011', '9/25/2013', 'career change', 'Voluntarily Terminated', 'Admin Offices', 'Brandon R. LeBlanc', 1, 'Diversity Job Fair', 'Fully Meets', 3.8, 4, 4, '8/15/2013', 0, 17)\n", + "('Smith, Sade', 10157, 0, 0, 0, 1, 5, 3, 0, 58939, 0, 19, 'Production Technician I', 'MA', 2130, '02/02/65', 'F', 'Single', 'US Citizen', 'No', 'White', '11/11/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Employee Referral', 'Fully Meets', 3.73, 3, 0, '1/24/2019', 0, 16)\n", + "('Soto, Julia ', 10119, 1, 1, 0, 1, 3, 3, 0, 66593, 0, 14, 'IT Support', 'MA', 2360, '03/12/73', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '6/10/2011', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Eric Dougall', 6, 'LinkedIn', 'Fully Meets', 4.3, 3, 5, '2/8/2019', 0, 19)\n", + "('Soze, Keyser', 10180, 1, 1, 1, 2, 3, 3, 0, 87565, 0, 28, 'Sr. Network Engineer', 'MA', 1545, '02/09/83', 'M ', 'Married', 'US Citizen', 'No', 'Asian', '6/30/2016', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'LinkedIn', 'Fully Meets', 3.27, 4, 5, '1/14/2019', 0, 13)\n", + "('Sparks, Taylor ', 10302, 1, 1, 0, 1, 5, 1, 0, 64021, 0, 19, 'Production Technician I', 'MA', 2093, '07/20/68', 'F', 'Married', 'US Citizen', 'No', 'White', '2/20/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Indeed', 'PIP', 2.4, 2, 1, '2/25/2019', 6, 20)\n", + "('Spirea, Kelley', 10090, 1, 1, 0, 1, 5, 3, 0, 65714, 0, 18, 'Production Manager', 'MA', 2451, '09/30/75', 'F', 'Married', 'US Citizen', 'No', 'White', '10/2/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'LinkedIn', 'Fully Meets', 4.83, 5, 0, '2/14/2019', 0, 15)\n", + "('Squatrito, Kristen', 10030, 0, 2, 0, 5, 5, 4, 0, 62425, 1, 19, 'Production Technician I', 'MA', 2359, '03/26/73', 'F', 'Divorced', 'US Citizen', 'No', 'White', '5/13/2013', '6/29/2015', 'unhappy', 'Voluntarily Terminated', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Exceeds', 4.1, 4, 0, '3/2/2015', 0, 16)\n", + "('Stanford,Barbara M', 10278, 0, 2, 0, 1, 5, 3, 0, 47961, 0, 19, 'Production Technician I', 'MA', 2050, '08/25/82', 'F', 'Divorced', 'US Citizen', 'No', 'Two or more races', '1/10/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'Google Search', 'Fully Meets', 4.1, 4, 0, '2/7/2019', 0, 9)\n", + "('Stansfield, Norman', 10307, 1, 1, 1, 1, 6, 1, 0, 58273, 0, 3, 'Area Sales Manager', 'NV', 89139, '05/09/74', 'M ', 'Married', 'US Citizen', 'No', 'White', '5/12/2014', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Website', 'PIP', 1.81, 2, 0, '1/17/2019', 3, 5)\n", + "('Steans, Tyrone ', 10147, 0, 0, 1, 1, 1, 3, 0, 63003, 0, 1, 'Accountant I', 'MA', 2703, '09/01/86', 'M ', 'Single', 'US Citizen', 'No', 'White', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Admin Offices', 'Brandon R. LeBlanc', 1, 'Indeed', 'Fully Meets', 3.9, 5, 5, '1/18/2019', 0, 9)\n", + "('Stoica, Rick', 10266, 1, 1, 1, 1, 5, 3, 0, 61355, 0, 19, 'Production Technician I', 'MA', 2301, '03/14/85', 'M ', 'Married', 'US Citizen', 'No', 'Asian', '2/17/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kelley Spirea', 18, 'LinkedIn', 'Fully Meets', 4.7, 3, 0, '1/11/2019', 0, 4)\n", + "('Strong, Caitrin', 10241, 1, 1, 0, 1, 6, 3, 0, 60120, 0, 3, 'Area Sales Manager', 'MT', 59102, '05/12/89', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '9/27/2010', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Indeed', 'Fully Meets', 4.1, 4, 0, '1/31/2019', 0, 18)\n", + "('Sullivan, Kissy ', 10158, 1, 1, 0, 1, 5, 3, 0, 63682, 0, 18, 'Production Manager', 'MA', 1776, '03/28/78', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '1/8/2009', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'Indeed', 'Fully Meets', 3.73, 4, 0, '1/24/2019', 0, 12)\n", + "('Sullivan, Timothy', 10117, 1, 1, 1, 1, 5, 3, 0, 63025, 0, 19, 'Production Technician I', 'MA', 2747, '10/07/82', 'M ', 'Married', 'US Citizen', 'Yes', 'White', '1/5/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'Google Search', 'Fully Meets', 4.36, 5, 0, '1/24/2019', 0, 10)\n", + "('Sutwell, Barbara', 10209, 0, 0, 0, 1, 5, 3, 0, 59238, 0, 19, 'Production Technician I', 'MA', 2718, '08/15/68', 'F', 'Single', 'Eligible NonCitizen', 'No', 'Asian', '5/14/2012', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Elijiah Gray', 16, 'Indeed', 'Fully Meets', 3.4, 5, 0, '1/31/2019', 0, 13)\n", + "('Szabo, Andrew', 10024, 0, 0, 1, 1, 4, 4, 0, 92989, 0, 24, 'Software Engineer', 'MA', 2140, '05/06/83', 'M ', 'Single', 'US Citizen', 'No', 'White', '7/7/2014', '', 'N/A-StillEmployed', 'Active', 'Software Engineering', 'Alex Sweetwater', 10, 'LinkedIn', 'Exceeds', 4.5, 5, 5, '2/18/2019', 0, 1)\n", + "('Tannen, Biff', 10173, 1, 1, 1, 1, 3, 3, 0, 90100, 0, 4, 'BI Developer', 'MA', 2134, '10/24/87', 'M ', 'Married', 'US Citizen', 'No', 'White', '4/20/2017', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Brian Champaigne', 13, 'Indeed', 'Fully Meets', 3.4, 3, 6, '1/2/2019', 0, 14)\n", + "('Tavares, Desiree ', 10221, 1, 1, 0, 5, 5, 3, 1, 60754, 1, 19, 'Production Technician I', 'MA', 1801, '04/03/75', 'F', 'Married', 'Non-Citizen', 'No', 'Black or African American', '4/27/2009', '4/1/2013', 'Another position', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Diversity Job Fair', 'Fully Meets', 4.5, 5, 0, '2/15/2012', 0, 11)\n", + "('Tejeda, Lenora ', 10146, 1, 1, 0, 5, 5, 3, 0, 72202, 1, 20, 'Production Technician II', 'MA', 2129, '05/24/53', 'F', 'Married', 'US Citizen', 'No', 'White', '5/16/2011', '7/8/2017', 'Another position', 'Voluntarily Terminated', 'Production ', 'Elijiah Gray', 16, 'Google Search', 'Fully Meets', 3.93, 3, 0, '4/18/2017', 0, 3)\n", + "('Terry, Sharlene ', 10161, 0, 0, 0, 1, 6, 3, 0, 58370, 0, 3, 'Area Sales Manager', 'OR', 97756, '05/07/65', 'F', 'Single', 'US Citizen', 'No', 'Black or African American', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Indeed', 'Fully Meets', 3.69, 3, 0, '1/28/2019', 0, 18)\n", + "('Theamstern, Sophia', 10141, 0, 0, 0, 5, 5, 3, 0, 48413, 1, 19, 'Production Technician I', 'MA', 2066, '05/09/65', 'F', 'Single', 'US Citizen', 'No', 'White', '7/5/2011', '9/5/2016', 'return to school', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'Indeed', 'Fully Meets', 3.98, 4, 0, '3/2/2016', 0, 1)\n", + "('Thibaud, Kenneth', 10268, 0, 4, 1, 5, 5, 3, 0, 67176, 1, 20, 'Production Technician II', 'MA', 2472, '09/16/75', 'M ', 'Widowed', 'US Citizen', 'No', 'White', '6/25/2007', '8/30/2010', 'military', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'Other', 'Fully Meets', 4.1, 4, 0, '7/14/2010', 0, 15)\n", + "('Tippett, Jeanette', 10123, 0, 2, 0, 1, 5, 3, 0, 56339, 0, 19, 'Production Technician I', 'MA', 2093, '06/05/67', 'F', 'Divorced', 'US Citizen', 'No', 'Black or African American', '2/18/2013', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Brannon Miller', 12, 'Indeed', 'Fully Meets', 4.21, 5, 0, '1/14/2019', 0, 4)\n", + "('Torrence, Jack', 10013, 0, 3, 1, 1, 6, 4, 0, 64397, 0, 3, 'Area Sales Manager', 'ND', 58782, '01/15/68', 'M ', 'Separated', 'US Citizen', 'No', 'White', '1/9/2006', '', 'N/A-StillEmployed', 'Active', 'Sales', 'Lynn Daneault', 21, 'Indeed', 'Exceeds', 4.1, 3, 0, '1/4/2019', 0, 6)\n", + "('Trang, Mei', 10287, 0, 0, 0, 1, 5, 2, 0, 63025, 0, 19, 'Production Technician I', 'MA', 2021, '05/16/83', 'F', 'Single', 'US Citizen', 'No', 'White', '2/17/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Needs Improvement', 2.44, 5, 0, '2/11/2019', 4, 18)\n", + "('Tredinnick, Neville ', 10044, 1, 1, 1, 5, 3, 3, 0, 75281, 1, 15, 'Network Engineer', 'MA', 1420, '05/05/88', 'M ', 'Married', 'US Citizen', 'No', 'White', '1/5/2015', '2/12/2016', 'medical issues', 'Voluntarily Terminated', 'IT/IS', 'Peter Monroe', 7, 'CareerBuilder', 'Fully Meets', 5.0, 3, 5, '4/15/2015', 0, 11)\n", + "('True, Edward', 10102, 0, 0, 1, 5, 4, 3, 1, 100416, 1, 24, 'Software Engineer', 'MA', 2451, '06/14/83', 'M ', 'Single', 'Non-Citizen', 'No', 'Black or African American', '2/18/2013', '4/15/2018', 'medical issues', 'Voluntarily Terminated', 'Software Engineering', 'Alex Sweetwater', 10, 'Diversity Job Fair', 'Fully Meets', 4.6, 3, 4, '2/12/2017', 0, 9)\n", + "('Trzeciak, Cybil', 10270, 0, 0, 0, 5, 5, 3, 0, 74813, 1, 20, 'Production Technician II', 'MA', 1778, '03/15/85', 'F', 'Single', 'US Citizen', 'No', 'White', '1/10/2011', '7/2/2014', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'LinkedIn', 'Fully Meets', 4.4, 3, 0, '1/5/2014', 0, 5)\n", + "('Turpin, Jumil', 10045, 1, 1, 1, 1, 3, 3, 0, 76029, 0, 15, 'Network Engineer', 'MA', 2343, '03/31/69', 'M ', 'Married', 'Eligible NonCitizen', 'No', 'White', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'Employee Referral', 'Fully Meets', 5.0, 4, 7, '1/14/2019', 0, 8)\n", + "('Valentin,Jackie', 10205, 1, 1, 0, 1, 6, 3, 0, 57859, 0, 3, 'Area Sales Manager', 'AZ', 85006, '05/23/91', 'F', 'Married', 'US Citizen', 'No', 'Two or more races', '7/5/2011', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Indeed', 'Fully Meets', 2.81, 3, 0, '1/17/2019', 0, 16)\n", + "('Veera, Abdellah ', 10014, 0, 2, 1, 5, 5, 4, 0, 58523, 1, 19, 'Production Technician I', 'MA', 2171, '01/31/87', 'M ', 'Divorced', 'US Citizen', 'No', 'White', '8/13/2012', '2/5/2016', 'maternity leave - did not return', 'Voluntarily Terminated', 'Production ', 'Kissy Sullivan', 20, 'LinkedIn', 'Exceeds', 4.5, 5, 0, '2/1/2016', 0, 15)\n", + "('Vega, Vincent', 10144, 0, 2, 1, 1, 5, 3, 0, 88976, 0, 17, 'Production Manager', 'MA', 2169, '10/10/68', 'M ', 'Divorced', 'US Citizen', 'No', 'White', '8/1/2011', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Janet King', 2, 'Employee Referral', 'Fully Meets', 3.93, 3, 0, '2/27/2019', 0, 19)\n", + "('Villanueva, Noah', 10253, 0, 0, 1, 1, 6, 3, 0, 55875, 0, 3, 'Area Sales Manager', 'ME', 4063, '07/11/89', 'M ', 'Single', 'US Citizen', 'No', 'Asian', '3/5/2012', '', 'N/A-StillEmployed', 'Active', 'Sales', 'John Smith', 17, 'Website', 'Fully Meets', 4.5, 4, 0, '1/18/2019', 0, 11)\n", + "('Voldemort, Lord', 10118, 1, 1, 1, 4, 3, 3, 0, 113999, 1, 8, 'Database Administrator', 'MA', 1960, '08/07/86', 'M ', 'Married', 'US Citizen', 'No', 'Black or African American', '2/16/2015', '2/22/2017', 'no-call, no-show', 'Terminated for Cause', 'IT/IS', 'Simon Roup', 4, 'Employee Referral', 'Fully Meets', 4.33, 3, 7, '2/15/2017', 0, 9)\n", + "('Volk, Colleen', 10022, 1, 1, 0, 4, 5, 4, 0, 49773, 1, 19, 'Production Technician I', 'MA', 2747, '06/03/86', 'F', 'Married', 'US Citizen', 'No', 'White', '9/26/2011', '2/8/2016', 'gross misconduct', 'Terminated for Cause', 'Production ', 'Kelley Spirea', 18, 'Google Search', 'Exceeds', 4.3, 5, 0, '2/1/2015', 0, 18)\n", + "('Von Massenbach, Anna', 10183, 0, 0, 0, 2, 5, 3, 0, 62068, 0, 19, 'Production Technician I', 'MA', 2124, '04/06/85', 'F', 'Single', 'US Citizen', 'No', 'White', '7/5/2015', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Michael Albert', 22, 'LinkedIn', 'Fully Meets', 3.21, 3, 0, '1/29/2019', 0, 7)\n", + "('Walker, Roger', 10190, 0, 0, 1, 1, 5, 3, 0, 66541, 0, 20, 'Production Technician II', 'MA', 2459, '02/10/76', 'M ', 'Single', 'US Citizen', 'No', 'Black or African American', '8/18/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Ketsia Liebig', 19, 'Employee Referral', 'Fully Meets', 3.11, 5, 0, '2/12/2019', 0, 4)\n", + "('Wallace, Courtney E', 10274, 1, 1, 0, 5, 5, 3, 1, 80512, 1, 18, 'Production Manager', 'MA', 2478, '11/14/55', 'F', 'Married', 'US Citizen', 'No', 'Black or African American', '9/26/2011', '1/2/2012', 'Another position', 'Voluntarily Terminated', 'Production ', 'Janet King', 2, 'Diversity Job Fair', 'Fully Meets', 4.5, 3, 0, '1/2/2012', 0, 5)\n", + "('Wallace, Theresa', 10293, 0, 0, 0, 5, 5, 2, 0, 50274, 1, 19, 'Production Technician I', 'MA', 1887, '08/02/80', 'F', 'Single', 'US Citizen', 'No', 'White', '8/13/2012', '9/1/2015', 'career change', 'Voluntarily Terminated', 'Production ', 'Elijiah Gray', 16, 'CareerBuilder', 'Needs Improvement', 2.5, 3, 0, '9/5/2014', 6, 13)\n", + "('Wang, Charlie', 10172, 0, 0, 1, 1, 3, 3, 0, 84903, 0, 22, 'Senior BI Developer', 'MA', 1887, '07/08/81', 'M ', 'Single', 'US Citizen', 'No', 'Asian', '2/15/2017', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Brian Champaigne', 13, 'Indeed', 'Fully Meets', 3.42, 4, 7, '1/4/2019', 0, 17)\n", + "('Warfield, Sarah', 10127, 0, 4, 0, 1, 3, 3, 0, 107226, 0, 28, 'Sr. Network Engineer', 'MA', 2453, '05/02/78', 'F', 'Widowed', 'US Citizen', 'No', 'Asian', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Peter Monroe', 7, 'Employee Referral', 'Fully Meets', 4.2, 4, 8, '2/5/2019', 0, 7)\n", + "('Whittier, Scott', 10072, 0, 0, 1, 5, 5, 3, 0, 58371, 1, 19, 'Production Technician I', 'MA', 2030, '05/24/87', 'M ', 'Single', 'US Citizen', 'Yes', 'White', '1/10/2011', '5/15/2014', 'hours', 'Voluntarily Terminated', 'Production ', 'Webster Butler', 39, 'LinkedIn', 'Fully Meets', 5.0, 5, 0, '5/15/2014', 0, 11)\n", + "('Wilber, Barry', 10048, 1, 1, 1, 5, 5, 3, 0, 55140, 1, 19, 'Production Technician I', 'MA', 2324, '09/09/65', 'M ', 'Married', 'Eligible NonCitizen', 'No', 'White', '5/16/2011', '9/7/2015', 'unhappy', 'Voluntarily Terminated', 'Production ', 'Amy Dunn', 11, 'Website', 'Fully Meets', 5.0, 3, 0, '2/15/2015', 0, 7)\n", + "('Wilkes, Annie', 10204, 0, 2, 0, 5, 5, 3, 0, 58062, 1, 19, 'Production Technician I', 'MA', 1876, '07/30/83', 'F', 'Divorced', 'US Citizen', 'No', 'White', '1/10/2011', '5/14/2012', 'Another position', 'Voluntarily Terminated', 'Production ', 'Ketsia Liebig', 19, 'Google Search', 'Fully Meets', 3.6, 5, 0, '2/6/2011', 0, 9)\n", + "('Williams, Jacquelyn ', 10264, 0, 0, 0, 5, 5, 3, 1, 59728, 1, 19, 'Production Technician I', 'MA', 2109, '10/02/69', 'F', 'Single', 'US Citizen', 'Yes', 'Black or African American', '1/9/2012', '6/27/2015', 'relocation out of area', 'Voluntarily Terminated', 'Production ', 'Ketsia Liebig', 19, 'Diversity Job Fair', 'Fully Meets', 4.3, 4, 0, '6/2/2014', 0, 16)\n", + "('Winthrop, Jordan ', 10033, 0, 0, 1, 5, 5, 4, 0, 70507, 1, 20, 'Production Technician II', 'MA', 2045, '11/07/58', 'M ', 'Single', 'US Citizen', 'No', 'White', '1/7/2013', '2/21/2016', 'retiring', 'Voluntarily Terminated', 'Production ', 'Brannon Miller', 12, 'LinkedIn', 'Exceeds', 5.0, 3, 0, '1/19/2016', 0, 7)\n", + "('Wolk, Hang T', 10174, 0, 0, 0, 1, 5, 3, 0, 60446, 0, 20, 'Production Technician II', 'MA', 2302, '04/20/85', 'F', 'Single', 'US Citizen', 'No', 'White', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Fully Meets', 3.4, 4, 0, '2/21/2019', 0, 14)\n", + "('Woodson, Jason', 10135, 0, 0, 1, 1, 5, 3, 0, 65893, 0, 20, 'Production Technician II', 'MA', 1810, '05/11/85', 'M ', 'Single', 'US Citizen', 'No', 'White', '7/7/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'Kissy Sullivan', 20, 'LinkedIn', 'Fully Meets', 4.07, 4, 0, '2/28/2019', 0, 13)\n", + "('Ybarra, Catherine ', 10301, 0, 0, 0, 5, 5, 1, 0, 48513, 1, 19, 'Production Technician I', 'MA', 2458, '05/04/82', 'F', 'Single', 'US Citizen', 'No', 'Asian', '9/2/2008', '9/29/2015', 'Another position', 'Voluntarily Terminated', 'Production ', 'Brannon Miller', 12, 'Google Search', 'PIP', 3.2, 2, 0, '9/2/2015', 5, 4)\n", + "('Zamora, Jennifer', 10010, 0, 0, 0, 1, 3, 4, 0, 220450, 0, 6, 'CIO', 'MA', 2067, '08/30/79', 'F', 'Single', 'US Citizen', 'No', 'White', '4/10/2010', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Janet King', 2, 'Employee Referral', 'Exceeds', 4.6, 5, 6, '2/21/2019', 0, 16)\n", + "('Zhou, Julia', 10043, 0, 0, 0, 1, 3, 3, 0, 89292, 0, 9, 'Data Analyst', 'MA', 2148, '02/24/79', 'F', 'Single', 'US Citizen', 'No', 'White', '3/30/2015', '', 'N/A-StillEmployed', 'Active', 'IT/IS', 'Simon Roup', 4, 'Employee Referral', 'Fully Meets', 5.0, 3, 5, '2/1/2019', 0, 11)\n", + "('Zima, Colleen', 10271, 0, 4, 0, 1, 5, 3, 0, 45046, 0, 19, 'Production Technician I', 'MA', 1730, '08/17/78', 'F', 'Widowed', 'US Citizen', 'No', 'Asian', '9/29/2014', '', 'N/A-StillEmployed', 'Active', 'Production ', 'David Stanley', 14, 'LinkedIn', 'Fully Meets', 4.5, 5, 0, '1/30/2019', 0, 2)\n" + ] + } + ], + "source": [ + "# Itera sobre as tuplas na lista \"entradas\", onde cada tupla representa uma linha da tabela \"Hr\".\n", + "for entrada in entradas:\n", + " # Imprime a tupla, que representa uma linha da tabela, no console.\n", + " print(entrada)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Commit e Fechamento da Conexão" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# Realiza um commit para salvar as alterações feitas no banco de dados.\n", + "connection.commit()\n", + "\n", + "# Fecha a conexão com o banco de dados.\n", + "connection.close()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/exercicios/para-casa/Hr_dataset.db b/exercicios/para-casa/Hr_dataset.db new file mode 100644 index 0000000000000000000000000000000000000000..bb6ac94906c72068af55e89d2c3ff91377a2e9b9 GIT binary patch literal 86016 zcmeIb34B~+0tE`BWnV*BQvT05@B7}lckX?!Mh^Y; z_y0co7ldOglFs{{_bktO&N(x;PGrkw`b?p?oGGXK8#XkALJgzobVEZ!82`Hh|5Lw0 z_)S#(3;v(}eXU>Nh8ynvXbV0o)co=W{B!x&UAx|MIz9 zVZ}60Pi2ueyf1xtYF7N~WTsfmnhQ05lr3j+Gv!RVQgZ&qK{LN# z7M*{B@8kWnedf8c^OKI7#WOSWg`(;F!vn>_^1keOvslWOSB@0s4rH>fuRN2_jQUAB;Seo6IbZh7hFt2u%@v*)T`Y2UHE>3ujtaU3(|{qFx9=R=3F z&n(Tm|6&~9|Du`q{>7ne>0BnCou9~*v-yJiKbp?Wo8JFoAAZ8ZnM2v4>G(;+AClPF zJibyP@Ay0V(`hqP!XMV&Ev|jp%$LQjxc?USk|~zyZ{2@BnaO9)nnkaw$iHx&@w7Q# ztYrC%%oHlc`I?iZtET)pKX3AlyT8%?{8@Y>{_!fs^X5wWz{IgJsfVOV5VLe9Gta`> z3OaMnoX=)*$BTt~&G~X^yimc2%?w$HbHs_mcKKG62wws*As zUE3SmUfcHPZGS30G2pT4|H^vih8;#Y8A^php=2Z#y0Jan+1}aJzIj{cu92Rdp&Pg3 z&pVT;y|}GH{`&M(2CvST4##4Vh7WD&z)37r#39X^^NY~5Y$l&RJUQ0*(C(q0-hrN> zp~*C!RspxOaNA5;D(Y0>1yxU*3z@3#|RnQ6QSg`WC-#X^5*sF14YuO z(tIJE9_!wML-^`#`a?);#3A(U?iuc%OwVNVXLF|W2xc!7(uHDr8OA7G#9J)UPeead z-&D`ou9zj9lPk(A$1B;?`V(kt>4lGsW*3pdbcJ*AtCi#p;XFTpFRYAFBFX@gd@?= z;;U0o>P&hppUJJ1%ConJdVdds?%vZgJnVnldvlrjB@%Y*OcA${Pme8|{F~n1o?e!D zk4EOhvpt7rX0pq$F4Kj|xu|WX)3DQNGSvI;pEu2g(rEiNZ@KjwzqTzJ!!ZufF^;5G zn_G5V7fz9s5K}7m)~=3QI=5{lBy>|$X#Q|e~ze#?^nVw0`A@m+d* zhW1RRrPHe3>>XxFD=*HUZ+N7q7s|i8cd(LQgo>`zspvfLR4VB>jy5`uZQJnH4RIWN>+^6XrKRlkY4`|!S?TU(dh!4A zTlzCeSkGvrSDh61 zD{NUCY}qX&f>L*Jzl+(z{37mmBAZ{x7^@N7?caYs@NV&Kpzpg6c0*@sy1c8_Sp z^O&=}u&sGK^hsDgv)CMbgYBPcyy@I4J{9RzuRUtro!YV8af9s2wvsCoro4w-8N?qe zFJ8#xu20WomW`<>B!Bp;ddZV7!Ar*hlLMkSTkI&bX7gjP`cjDWV8pa3w6Spg<#Fbpp|AJ2Xi)F z$jz-7AB#ppmA|@brf{ZwAp>87$OqohEKZIkZ{7_B+|x5O;&ZJ+L)Gil*=NsJg`30E zxIaB}0gmT zL`XaY>J*Ex@}|?q##prBi(k~=VPX%73ClF36|;w}aovu0YIe<6fA6g;! z!pZLLg`45fYOrXQE5&@eTu7JZ7Yl`4ogN18m5)L{h4-Wjy@~Xb<=VEHf(d$l zY+jb2?v+9=i)e8MQN^P1338o}J+#ST@SMRiqGbe%91#SFHza%og$*KRUPQ`Ms`D0W z;s&L)t_R8D?nJbJs2u|LMXb9cJ8qKE6A8SPJR;lEZN>)H!zs@}11)D9ueD zHJ%KU^TQ_x=T~ANtxWEYPn!CA4GL=55z?Zr`$f z1VMf0=8lez?b~;DcJ*}a>e{}oXVqdNRww{cSP1Y8CY_yX2n7V)u$usznxD6lTwlZod2uxXX0}HU&E&Ozb5}Lnzhsc0z({h z0Y8#}o*Llh11J^%<^SysxrVkYT6eYVZ+=?SYU5v|{wet=5P&DduZkJby^+J=yFw*= z%H#gE8tvl9*Ht#!hO!aW6`W}Np1P#zgX ziGe5|z*li7^%Uy+7Kt{R)4 zC%Q|97%!7!vDeV;pyEH|2gvJh71dUPC$%vB*a9d<>0@WkWI>3ag5UyG{%=T6nE0Cc z`QV!1Msca(ICO_W?2%UM{57H);Vi=l)SheJ_N{_rf|}sILLSwKe;~mAqd(MZb^KK* zzd-tt-G0*ZeX2@7U~K+T`Y(~&;;w3Iuenha`=k9mTpj3-TXUT|c9J?v!Fz3W?(7`t z5$HV=TM8F1LYK!EGsT=)GTs5vL)RYK=ukHajG{`hyt|)3?V;U%be1ucH1i`8z3(3u zb+A1sJ7rPfIqQ$xJHCrh>LZ!FSxz6te-QR!_)UW00afl3oRL;5{{&H!0mXxOEIXAh z)0;JV!Dx_0`$DCB0c4r$(|Zd z*`G%x?_4okGSg$A2!Vh#Uml;`{M)ciWTC-j@!BTsOUBQ{b%s6o4I8e(2@sF+=0du> zh?ccQGo3A^GwHJ^+K`zdFrK)B_LQ3scr z&4oBN)Sbpi&kjM^B12usFUU(ry?v#7E4}J3eJa3ACtpq!mcgFEfI_jLD}hMG?`%&U z#VL=HyDE>`7v0g%zra)z-zjEgw(yHqg;iT_N$)Uvh~E$j?ah&$hAqQ;%xAg>W8qNb zc|lS?oocJSWX!zxFKrqB2)&nBszPBK1-!kLYz~$CDI#m74=tinokm(!5 zmO>G6*p~#r)_7Px&H6(q7cs?affc1pJ;sr+b>d2Xj5Ykp4pBty#AB2fW)}0X16jxj zf@0pd8RGq)1-*F5t4KU>Hhg>y2zD+PTkoCOtPS0pi-AofDUvPLT~`n>R{GB>F;rHE zTU5D!uQ|VD79rJqpKaOd2Qg@ zh>&`u#hTm1(kXVz2szFzUAVSw+sThmSj0h~ly2GtW2hUhC=z<@>yyO(oXe0Kp=d2z zDkH2ffKQb8x^$m|9!sL`OuaME9mtLM4xFp9wCnK^x~m(Nv0s!5;2dxbBrUUp3;eFP zx24}^qEvM=QwAFqd<_t~i{(5hwZ=i*v9joG?J>?Y?&KDHB!u!WR;nsh;M?(5ZY^ImO#?TE`ucvCUn{`!m((m{Rct5 zA%h!*qaPd$u$&@;8m#vjx>?JjHgB3X`%MuV+Fwe)URHgQ8?424$CH$FUg7w=2AHc2 zTf=nTvI*ZX#pHiuk|=&(`nvuqlVMyXQT%%So+Mius48cP_$>B>Lz!|J{U<~P_fuMr z$9IdY)8SZjk0ALBZQ}eNo&2poX^pmA+dR~?-1u9mmnGkyj3S^|W+yKGNm&sK^^(8lu6UgOj8NGSSfWDGwQ zD1%7D(Nw@~P}ExSY(xu?r5XtNdK&F@gU`n%OQ+ua{U%oOXz4=kovGx?S9naaBO!~B z-{E`@h}k_iFk`nS_LKf~ryU{zTOh_fu$2P37SIrAyauZMjnCgnSuct(I|(`{KZ;ZXD1R zE_ju+vD*A2uC2*BbUlM6>e{vwhM)+#o3FEZow&B;bD8W}YJ1vSL^5eS1NQX|x5oA! zMs8W;h9Jazk3k~X*r7f>r&Do|H4y?^*dt~>p9TLteP;$8QJI)m5*gve2nrDBUeY>s zoiH>`t}z=L0bQ#I528?bhX9BJy|gidd;0FD^$OVd0czjq>lx_P*%=%rpJ(0oRKwrY z2LY@g1W7kpV^8J>rhEutcua{WAHob=kzB!P0AeAm7RWSuC(_0+EXq|6`dE|`vsb3! zHgJH0S`&)2kuwmTXlyc$6c+R8ndNMGvE6f36r4&}Jz-7mbohcKvxrFsVG;?k5)d6^ zfCTX8l?Aj$q^FEIbk&5O^NuQe7##3HN}Yzi*~L^rYySqNSJH*2b%0RLCYywHUpLF6 zUJrMfD0vWsa$blalt7OaaV6B6m^OX|D)-^MUgdx(<018FngzA;fiKOWsqV7Yh(-O< z#dazfT=N!!9VtZvhOnxh?p2p&a^zz$aqKB>lQJ1akc$|dMDj%oz4`o}Z5^Vz)7j^t_U zJAILIbZ88dQ4H{35RD(1PA@(8=7GkYXcM~(T-4$Y)OHYaN_)6p!oys{LW__}>&G(- zq??)h)5f3Sih7>0#qTgx6awP@bLlGjkOpd_Xc!GP%DS-9?;F(Ge4R}kZIv2XwJTBU z^b=98LvN=PmCJR?i{Txr_jk{Qbno;@^#T#qNqeFY;jc9igu@ zJoZ13od0)!OKV{qn6hZwR_UW?JnH1OZED3OoM)eT@B;A3>(l8Ym@HBtGBv z1Tpctr{Q~6x(~)1zVIh{`I2`MS_h|!Hhi7k8WOFJb+^g+7CIaW;i$@j0n~{|WF#E6 zieoPLMsO+mS`qdjt$l8e>$z5-FB->=wjE${r^}RB-05N1hb1!!9_B zD}~2STiU`2X z-~dPoX`*KE@gnAT5EhO;)Op;=;$LX)M`l50qZQodkLRShe{(W}SYj$aJ}; zUmaaw_hQOeXS|qQMhtfrBEjlYA@RjjDE-%e6<&ZpK)mip5_|30?=h6;bW8v z>kYl#NE?K@I3}xjwNCZuBUM7|PnlrYy7MW*9JpcFwJs&YCJ7%vzP?f_qhGlq6oV(`Ym2M;DxVL_jf-do<;?}~5D-WciC@}!V{0zzi zMdvz%%b7e4=tQ<$Ft*2{;g>}l6(mOZ@-b93dFD_FclB*zP3dw$ZC)?Lt$%oiEAeod zHdyn6u1HM5Rl=}RMM5Nz;|0(dz>nidy88;e*GGO;e*|DL@B|79q%~Ew_2Tnxo@0>T z7?qXbDo`J>76u#{gCuL%q1Vn(kF0=?=PH;^fNB%Ze#jfUPylau&wKTPCQnF13mS?( zq84)s>ecC*h}t8nDu8dWk$dSwVpe_+oPISivN4Zsn8=_o4|4iBP_(a4A79Mox;rT; zdiXyBqUz)d96Q3jp@6JmSb}A^cDNl1rRVuM22N%0D6spEy(U@lR0f2p>Wy3H`@!H) z(WhhP#x{`&D)ue}&Lb)y3|wJK-P=jO^Tn^(?l>cvRSfu>_DailtY5Lv9H>JLp{3-bVhvN6fUK#yhLFH3lwIq5=UkNVWaT|$43A3k2qR>CoBVV3#c3KnF0N0vZwVWho74+r?<3rMWZ z`;DJLQ$Eq6w*shfu{1$1{pPKPE>)f*;s}M+HAm&15k?cBR zJr>eeHOmreR0PebhnNP6@`(?3H=x8I6Fl9m z1+WB^bP|fB^0UYRqSoO_b_eQ?h(~4*BV(9EWZnC~J`xlTj6?igq}&~!chkrY(mW@= z8eJH;MtZsa%g*kNG097?X%|$7F z#`rgwiwA$9Hy6oC;3E*wr?RfHZ=5GbCiMon?oiK_yE#2ulWcN;>1S&QoTPlz4`Hx} zSZ?9$6#AH*Dxf2c5C(8ryRS#m_T3liMNCn~hU&UMhN?~4RM=Oq*fjy4czm7&ZM03+ zy%+^0U?pztJ)$m`12JNbF(F%0J+^ivI1t;HHHpFk>KFyOxZUp2c*Db|eGJOUvCy-l zaCJzBeV{LOuXL+H7h7AyqWT6JhY)p*hDCk?QzEV|jEQQ8SqN9~Wz%tNbSSkCWX)`z zLGXhZHhw1E{X}T!Ki;UnzT~e`;DLA&EF(>10!dj#b@sz2FmX=d^kyTfuwm<_b>NW8 zR5FC8#M`{fCQj`$2^YdN;leU}^}oQHT-*~S(v*1~Ohjb;%$hvp;0}0WQwJ3m=~H6-~s2--3MX~ z9|=m9TL@_dgd9*_Q~ZC8P@YS&>&QYd=-n;f6Tlsi9$9aSrdE>&=w?DHUQ}re20eFC zVl4B-)IJl0B^rzhaWY0ZLgC`Szak)yLA=NYn0R38YF}1SB-EB&(EyM6ro*f|kfd^c z9mBmP(k!Pu4_HU`D*(8m`W7he7$|`bbtcXV(oH+O_`@pc; zTPWREfjmde72NG#g4XgI$9$Pb55Ut=HO-HL8Q=(5DqVrikKIx`23P9@Tg5C~X3Ys- zpA_}~_cpX8TazuJ=C-Eojk{8}CtsR)DE^+<2czGLrX$ngrO;nBy!UY=|Nq_pskLy1 z1LPWa&{3OJWo+yaT#X6=$u^D2heJTZ4@)X_3&cZuYc_C&T3IsFBZ`V&}zri#19(?ym4crno?*BUMH! zrH;`m3`ejWi-f@rQ_=LD;kvNlovg)~6zj${yP8QYMvz4>@EayIon zFvj6QVGM`Ym#Q(#giv6O8(%wDi;=YxchhE_%D`nQDxctd$w9-r2B>SI1HcGC$ODC9 z(JY~;$S!LP3b^q)9|c4k|J5Xws72}0HQP@y(+{!?A3#@QE{)DEEaRZHFMgd}J_)wR zS|COVQ-Uq7Dw?n=PZJpp*R~xXb|>|#+rbHmXD(9~I-AL_WQ;dbaPrwd3J6Y;7bRX0 zgz|9ofzM<2)jxj;sC}KlPYZkRLwIw1t$lH;e0s-?L{V_ajYtIMp9W@AYcQfrAPWbw z<%{Q-m=7wK!g$k1jAa}^XzQN_9l&YITM5AT8XDybYy=-@7oSD{dIo3P;incC>JX`1 zOt$XzZ?f*XM_`xk61fej8^m4%oOd9*V6sDiN0`Hy{xMwlS6&{F0xeM;88v@BbSZCH z7o>RHUQM>DlaT`x)*npif9lE?FaIpAJB!6X9hDHPr)xb6c3pbniz;^!c`0 z77$3qcf#8drlKz*uI0$Rpo(&Nlqmc_LXp5w_~u6PNL0MR5bfApvbajJ5JU3+PUo}jAl*ZC`KLQIQ!18#T zRl3U`E#J0HqUG|TnZ>ge&bntRB~WKRL>A^tFAfmt0rGLs>;bQjlLa!!!_OTNnV1JM zxK6yhhA^qq!O@g>XNbG_E(bSQ**hV1wZW2eKIH;?sQV1>jLZvl=@J!XDm#xtzw!I9 zDxrLURY`3k@EmBEA7Mxvy&#<8gV5zYo~v~WuJqR7@1ww)g@;U7g*#lJ7|V)!h+w7& z79QIaw5M_-kcqh~>F&)C^{S@@h?+=~sOv_>)|9lB*a+L?SS`XovO8lN_8YU_)ZQC}(clH9)g&Bv)tuc`R%)5j%`w zzE7@uI0`uQYXJkSz@)_{1~?PHBv`>uLZ2D`p!g_X*fkIRx;~BHloksY{Nf{zmbf-j@a21iSHX`L91EGAwX|8VSMsQ&*X@`UjI&@et_UB9fmFL0GY0D@Q(*qAiScUzFa1hKc+aTNo+5N6cLn=|}}+m8ZsHp_Xd{ZY+76 z0&X-V`YmA$s58T=3+4mZR_tdliOW`#J9$U=Ap?m-`UQ!kH_~XW+((|=Ub)Gh46Iu* z4+N(m*aEOj>SD(;D+Qy67>fTH;K`Fur4SC-8J?pb?^YYI+I-Y{AL*JBt1`SA#biUI z)~R!@P~EOvOSY2g)jU|p(TiO~;Tp?))7|8DK616*6s2AyGRToWPnW)}-3TVw8rJW3 z)|i2&NCvia32SeG4U)pSc~}khYT7xm{bo%X$~cB9knuwRz}w&KdalWn^pm0{=x11! zJeQskyIh4VyW3M0M>bhc%X8gGMVfLVn20oa)_^iR7;;4zRkpO4>5kJxuy>x*P6SIH zqfiz^B<&mp93#KR0e~Cq#0Tn$Gdb}OY+g`HZ>eX7U->|zb$D3>(-N7HHFm)b1kPxy zA-r@RDaGUpXl2XYZE?(sDER=5ho>4Ie1=G%0^?{QpXQnQAc`VEaNd_1eF0fSptH$3 zopV*j)RPi>iveViIYIV&5Yt!BWO785K#o9@Pp^eR`O>EX9~Dvq#5dmlU?}0b>wTVZ zrUuebMx#xrB>L%uCycDNFEMq8;6umqUgW$2)##O}&q0iWB%Fpp;p<|E`ac=eY0?VO zI8yaRX|&c-r2@E1p{0)x=J2`;Z#vXQIM0vXT~*)+ke+)*bRg3q)?k$t+uhN0>y)Qa z4nxE2(#9W0qfp|9zwV>N#||~T`pLk`@lNqbeO8=mk3^vWa(>o8aB@^z_tn;Js$vU! zuqUya%93f~pk8SLtfd}jitn*zB0AP zPh#k5(OfY88m{yogLaB$D1+l6us-0WRtMH{N1oSTlM?%c`lBs!RU;0UEhj+d!dc;) zoI<0LAcU^6oe!dbj6n}#n^$)`MGtS(Uw`s2C2}-y#V>l$ii|9Pe=J??%OmpI1ZdUw zfb2p@+$`$CVVpV^oCcgEB*gv zezG-dB^}t5%(YeB8_!aumxnNon2M0-ZpA8j<1=X347GkPAh1t-l`0)5>+JDdj6LLy z&#CT?P1lq2(K()KChK+9?N)+m3$7NmVd0&XHssk?gPuFLsIHQFJ4s=|?@t8ptX%?DM%tF=g40Y6~$ro_yFWatp)5El`P z16Ly&lJUMs!@C>8j&ZLDknajmF(HI zO&@MLMQR&3E47|xa0eOP?@m>6g;00dqqP{Z;2~_LC!FUfw01%le5=8syI;#x)a@P&f+S#b<`czUX$sM%Zo}VVje)m6X#}HMW9R(>K z$=KQDsXzq&Rf!J00vURRlao3#< zm)y?WV*^!kZ@cWC5){Q!2|6BDV2>oA@om! zY;tmmq(*QA%Tz120=_8MV(nT7kmn>&`}k6NnIh=hWGy~JG#WeJr9I|`8xCbO08&T^ zt5eLgNHmTVxasiu5bu-M>+dvq3~>QrV7`TCR$G#cf0DYB3b#|aQvWuE&80C#e2p0W zUw%4a2sSNC%qRvyyc5Hj;agOAd$5AWM+gYyXfnHG8qcHwYgcXcaV@h`4ZoejyM%io z6uR~XrwSg>2!}yB)rUJ59DeKxs((gvt*7z1TD1;9v0OpRy7QudljIGn`744kS#91p zSgathz-Ez5zGVCqG1BS>YkD^@6M%<``r@>~bq59_A8$j4Y8J1SSdvz5g;Ex~|AEm! z9_gX_AH>r+YwIJ}bn6ZaFECL2A(yX8#eapYC^wR`_2`-^lSY(}S3+r{D zj#%D96Lr~Ixui|?Ervz@|7#6xoyh-hZk}(-H9jl#E6G1g{B`^b@n|d&ZH?Rzz9Y2S z@N2)!l)mO`Su56-9RrSFoYji`IBbQoia2NN>nb5l1o`4) zT_pU48+m;oCsr7=qoNYKtJkg; z(6TbhsW9)z$YN&kM_;(%IB3dXcVbiClhWh+kD=Ww58H@jYQQIQQ4S6kk!_+zxAxy} z&R2*(AeZCq^%BOt5qF2^EFngXK-C+qTdmC;z$h=S%)cmBRf`};7fnpsqDDjDX$V1c zpx0b5ehe7-7uWdsfbnCY8y_S$hH%^02k?Eu%QKFt^WkjS{rZ=kk3|*W@XeGSz%IBa3O{qfpWJ2K3PDREuo|612iuHszAm-<+&*N?3VxKo?3T&?C1}Lwboay z@b|1RNEZcbde1U;w-xi*@=7{qW}t<;(hJ!IP{GP+#GjR7-hZ6}UueyEJM9}(RW1cA z^oL=AHnG=Mf-4Jzaj+N#O1s{KV>?peM_5^)YRAjS@_hTtddrjgEh0v6zq60!(V|sQ z1;H1uu*F2@GacwAnr6}U9j3*!twJ%P(8`d z55lQC#b_NEMkYn9fG%llAxcz&texjvvX)7v^xSNS5*$im-o95%%i?Mk&R=PsuP%lJ}Kd zMtu@5tJnV2P(=enZ52HrbP&-)0*|*vfRN7Q-|i%+mKPzd03hKsR;VnJH+}$dzw?v; zHSQwJ74Opz&(S*?X`|{c1+7gqlvLSjB$%*HTFu-;=tAl2I#)GlI((i+=1pUyT-x{p z$ou~H=;g(JCOn^Eny;ksEo+54@J+ocH8iZx5N#N%;Pr^3G2piyE zBzNTS^0En%E)8oqnaLr*>Fx!AB((3>eN#jb4)HzEIqpAomAwmeitPu*x%|`gtuIJ$ zWQ;;mFE1o4mLY^;A6bL@B2hfpM!HKI08q9HWfKTo?X^2pS;-@$pM>8xUQhXdsPROA zor-^$@)jVj0k74TSVl$b9Fb=Ou-dS&Mety#SymE!zgM1@tBH-`^s{ZT}& zLlvy)1C|5bMens~d@Vxe>9KzgkT^x70T4hCrBLg4WG_hFU0m)Y)T_ZV@FfX_2FFGI z|Gb8_RBJ~|Z}WksdmC3$&rH5D@z(f1#C{z8S#(RJFFX-iX?R{u&i>2(S1V`H4x;J^ zMiqf$Q>YxqFNkLFrsypt)*ObhfoGOB-cMophXQ8u0MCanfEUzvG%8OAEo2~Iczv&_ zCam$Ed`i-l@pEuUv%xxM?R3>H!~zOcyXXpSm0o`$YtChn_zT}^bYU6H?z{ZW#?6#A z1d6%tB+_9fNVyPwC~sah^s+wOWX)N;vd96KVJjV?Gy#1=BQr!Ai~ zE<}(%cI@*>_ivjG9eM$oAB5Tj+WS2ft$W)e>tQ+>>LPb^J8)@Dt_4TUbOMXZB*2@`&Si4lO;FRH2V{%!?^3=5o{;~BGdBCEI|*xF zZ^+_G2DPS7T_z5i^>d`ry2pBw>|hmh4D3vUqEe$eO>e@)`RC^W-$;T)dfNECNNDN& z=9xu2)CJsG@jPhO_O3x51|T>p{)BoNa&wHRW8S!^84e|NB^1t!loArjQI%ruw|0oM z*O5zci47bTC+diO^8`=rLr+?!WSk{y^XOakp$TTD!+R4vQm}xjh6S{d zE*H`$`V?@(ap?2$l^~4>Wj;7Xr0v%OMrbbKwah*W6u{WDv zG#*7heDmwCoB?INP)yehnWBYh&`aM&R*?(CFp=HUT_;mG>XiCYXKd)n^G zh`CzGDL$1Xs*u$Lnxf9YYZNfU3c*-+ith3IjR7t?IYllS1Jwi66pxYQLI@^`r2Xs8 zh->ap`$RkBnqvBX^es_oTClDKY)<6~exfNZH4$HxpJ;DtD?lq+u04^NE&#S!0B(K~ zgk5mWkwFcHVU3bw7;OjI9Jp2K!~8HI5OG%4+2etgNAxr45@gqFRd!yk zjg8KQc%I~%8Bz>zjtIV5toyAru{6BVbSGJ$Dn?F%ok8;)4fR1?*jzC#a!eh*I!Jwq zZ4DAR?2uobNxVyezV-tN<(Rk5g;Q%t?G1nAP*Vh+LV5RWLh7_lG_!b8r!I8d%Gw$$ zFDovWNpo1S9U4F28~tFH8fLLj2JB0?mrg|jtGIWO)2u-z_Xz56HG$cGhlm?&LdQS~ zbkA!z;1kfD*l@#IOtc2oaYrUMb1!-+XxY?Cp`0}=LLzfl`fgJJA94lo72x|I6{cj8 zO@{7ydZ$|i%GNG;(=o8=M6oAfowYhCQQ|EzDX_)mY^M$}+o{WD&L1tB73R_%KxDA6 zV*D-QzAOLIC+?fN!*~dx5bUa7r5~j%ZO|u6{yNO6Hs%ZF#ka`*CEFNnLR|EOfbg%1 zWE9H8!6)caGz}1sWg-R^%5U;+t;Pix~eqp^N_O9JE)8$I6PP(_hak^~WKd z;b2nGRbY_VabeJT$-3IL0>I8cw^0pRA{($rNAWnR>4n;WK+?fJrL^()6id8eMK3tF zr%?%dw|2mZ9TZC9)%xiTYa<*@0>OfBmB6RW|BpAc?PwiqnQG27RT>wO|Nmj)?eX`; zz7qXKv^#QRcyH)z!}0nO{?!iaMnZI%w`TXy5XRZr#V)OvazH50q?uVj5|8xcVrCBQ zipC4+41f4;{Tar;h;R%)x9{9Kt?sA*jTDa+e6YTqiat8!WO)UfjST`hgY_3lOgk{p zry$o*8#Ty4A~i;o+Cw1>S^`ySJUNdt|3zB<3J}=%Y#3$mAK&O>AF;5#|GmQDX~I(v z7ix{|Q*0RBC2?RQyL}mVN4yfXq%Bwrw~VH)c|}Fi(i1=qc($Qvts-yuKP!K z>aRQbTsU(`xXv*u(kJN(|K4jwuLy>pRuC2gi`b-1q1pt1V{>fL$eOi=+36`_!ZocVg{s2C6H8^t_m)+& z3h&BU?lv;2+ zgza`2YY<{phdZgkugo=d41NXJSk9t8Ou7pO@v|`X^$$PoH~oj3tA*Nn3lqYJD@&x) z(Ryb4XwyW+Z6F~cocJ4v)jPkedkpHclRRP9YhVF zN!wOeC#&c3Y62FY+Nqkxf~P3KswS&!?GX~nWP+a}n^#JtIz@{Zc^x2Cm`q0eu_CH! zcfjX_nudass0S!j;C3n>28WN06$MiT?DSotv$0*dkNmMH-Xvw)=-;^0>UV(VvOq!L zhZsX6W|Q%&%+D`^A}xv(bLh^#n<^APcte2bOcAI2F>p``KTRF1f=CE8CVX<2&A&}enFO=%%F3DYKIdrKFkUH284UVj9zt<&nMr> z^bPMTm8oJNqT!KjO=GG?uplT9B?goa&sx2l|NF2xcycAzmsoA*C&+iQ0b0h?DdQti z3YR{-M=xUHcj$G3Qigokr`wu^gbQaILB5>D9a>L+v8|*Y6FZuuKBIH5q&_&()S->5 zDQmYdw0NP8xDc(i6c^H165%Wnfe_frI7ep1*hIXQzdI5j<{qSpuyj6KT7t4foDF-n zUb0Yp1_PJ)RNX3VcmqROFp1H{(_sv>TZ>kY!(3ITV~NON2ckh724Np7JTGYs!3nxo zjKf4``M@3e!$=+>#|CeDiQSR)W|gj@f;UQ}eg{b@j3Y|AL0r59@7z%mwiT;7S0#U6 z1??+z_vqg3N1f}MVz7BaF%9D**2Q>GhPiHkz=$SzJmxui%c1zI0))lIve|$w*1csIGt#bp9$Jpy46YlAt|?;rSm)7= z0)&oo`G&qpoAos7dfP}7^dqN|i=KJFS~PEnLFg=yOQOk7V5KR#u+qj=k!ZvF#~h<+ zFwy%>P+$bVKAVXGU$Y`ZXcU+MF4x3z?K2%!?MT%1AZSXh$lk8w_o|>fx>gSWP45*l z(s0B{u+u?eekr}zAAdIBUgKYi?pAk`VR(-=zNk z@s@?=XE!~o@dc?DCf||xxA>Ri;n;BW+DK1$I&`YxH|xv)AJ1o56V`;wRB%Zg{$3@? zD#w^QTUnuF-nVF?9&9`XN%Er~@kx>oj-CG;&KK!}F9F#ndJ|7bbJ9K;vd8l|b}L|n zhD9re1Z$C=2FEW{50{xS`#h-4)Y-y91xOkdOtWcYAOfHF;h^<-8&PkAV1vjH*I5u} zcU-ses|m)nkA^i0))F{tq(a+8Rj z5E(m;3(Iqrtnn~O{oW_(rB2>Vh>Q`^AU#*Bfso zVl|ET^6S)Oan|kG+*qBDYg5<&;gcL}qYZV%+AoqUM*wQGl8||*m~668fj!Cs|Cj`c zZwZF@xiCnfYlCv+*n^16sOU(|@ar>$b&pL}%^PM}2B%wO_Ldm%Gn)K}qF; zh+xews5;PlvQW-t&LZ&w&E-PAyOq#^AHPq3yQ$xm3G^P{;xcEK%4BKWsV8u8h1!0X zD+kXKv?XB4jcD)~XIx!D1hgiA`>6>4LG(#;4(J(97K#@r_!KKI{v0z*KXk!wRX_uI z7-W+^%T{C)1l}O0$~u_UTTInr%B^Ch7QIHKq2xW|*3+%M4r?nA9k#X-^Wgf45QyM_ z<6@tM@f}jtEw2d(HBo|ss-imT+hV3Qw`vSPy_e{2eegyMPODnwWC?^9!NZa@7J#Xv zx+=28)MOzK9H|H-ZvshU#@LB;acgss_)}zEakJiOg8{A7>wcv*Y#w*QC>vXl9ZP7| zdZslh%0jSBcHMkyzf7L43(@RBnm!M4iv>85<0ho;-W>^t%|q^`sE6}siW%?$PRInR zN@>BfI-A8TP4qV9$Ft?^MKd3iOFbJYN;Af>;BvDII)Uf&1x|tgw=#teiEDwk0U$2$tHi0k5S~0 zPQF9YWJhS05>I|z<5yv_4t(67%tMRN33m5cxU*uG4rNQ{;Hu~GIc$q{y6SN;4*HHK zbsKG$=2*!#5=Q0ZslFXM5?{B+22Gj^W)?FKP__k5n>}L|jajJYXPz72L7xn8masbQ zptf}v^lCx`o!_AXn8er{MgD)dp{=WRZ_Dv!v+4I6-Qf-LJ_*YAE4{lfd-fagF|h% z>|@lX3LI2I)5(?Atr8k7cls$6{o9JsiahX?kd~8Nu}VzLaiM~f)OjHHY_NIq(Ed5p zC@?$B_#Hy~w!hY2@4rns5%3^=ITXhrGC+K$NJ}r3(Gd6;HV6b?%?cYJAongrCe;QF z8{1@p49JQS$Q2^PF>^7-*i8ujm*)a*7ws8rr~P|rIh2H`{Lm4?uqC?$nyt^Y?HV8# zaWfq*Fw|x%Z{5jZn5!S0lA>*0J4HcJl%9?w2q7SMF|(9KUHBnNdf)gu{i{ztfVjCY zXgs4Ws(sM|)H{ZaC~2fW6|+<)H{4G5mECq~bd$t!ReZB21{%j5NRxc7m-}zPf1*}4 zOwT_~4T%^sMT_Q(*lb~TkI*dSZv<{SdNrh`T+n{M&Q@@l3o2J7eAdAFe3dP&%jo$8 zA(GH1d0zvuFz}7rMJ6wwvdVu^nc}qpO7I!1^hNw3m;l{3kkJ49RQ*k3^9@gF^qVym z5OFFU>?OdT;mD!+OW37XgKoI!0^U<;mWyG*wj})@ingJb=cEJ0ONG=JBQ*MLr|C^< zKg4k}Q)K%#4Q2#7B)U6dz&Ms(mD-mnXVPQ&Om3xwxt)yzW)h@zN zRIr5L(YQ5jO(XrNrjRVT&4Hou34&R0tVB5R5(tQ63nl=}9mFgc)XScF9T_C3Z8ep4 zdM!zySnmV@@}BmxbtR{Iju1-#TP@aM>sAqf*cut31}(Yk!)^^p9YfWe*`g)##m4hc z3wz|Kk4hexXs~{dbdpD}*Qz7{fx6_Wrvx_IUhSD=4Icr|KsTm*Av-ay69f<0^*dF#fJRZ8iN!-ojr(!8(Z30}+vo-|KIm;3@M)xEb;aL{ zh`nw@<8lyQ2tc;`+93kwu-;`&3PQVli0VRJBs6$MRg|7Ev%7fg!582bzrP%Csk1hO zUi%y+ezV^C$lBPHnm&hfC4C)$Jd$7O#{Teaog!cV-dpLv*-`S!DX-|`XMg(;z!yRA7R>V+m`W^j? zNIo4e0$~)`nLZDK-7_gYYeU`qez!w*$*B;XcG0a-ot%a(&Q_KJs*vm5cTzw_Yo4lG zM5Y%D+?h1HSXf4)cZ5~o^*08{$dHa0+ki}~P@Fdxs)3@4tl*0Uf`#+osAv$kj8?Mz z**agi%X2B0>eRAm?j$4(Un}m_(KGa-@DHza6G&( zbl|7ZP2A#uzg=Tj4EaRnrYWSQ{9n%<10X7D~QfJR%^3X2;zMOx3?I3Al+TeN+KKi^utz{yEL;~yB z{fxfUF|*}MwP1KE?dbQV^!xswO^Po67VV}-x)7Lytw}rn>~OB zrrz=}MlrTP3b;NS3^8GaFz5~`f=J5iz}!4P2;Q;-Qul%`PA%Uc0a$P(pkJ7r5Jl#& zK!K+1qBzjxS$OUNNXOA&MaetQ0w(L+^v>=hO3Ltxi* z%BnL7$rwr8zri|V%`js)ihiXGzk5|AB)`OFjo2-!4VKS=$0y&O0lxT~) zY$AKr)d+o14lnv<2bmJJ9!a5E{4`PLcch9oCr|~MgeGUpXmdc}5v11#p~-K4ss4gf z)MQ6VaDXO@DUQ2!tU!+{*BL0b9Hf0KhX6`RB77U@Ij47YQCv}zJZw;*hyGk5z76NeVTQ~i+rp~KV+8Bw;=~7<{!s2^G zO-x>>?S*+{2Z|un+d%4SqC9Y+v_u56MKiaYG18G}Xt`KZ1VN!wEHCq!&K^_}Qu(0{ z>7&Hw9anQcDP^y`hUPyJo;yNMqqw!~Xw&FKGsYWQ#{ z*YGF*BLDzk&}X^gpjv((u?px0u*>-z?}8b_gk1ENyc-O^_ucHn@QZ&7JTL%)0kZ(r zki5X-=Cl}wns`|WpKyG%QIY$U7f65^|4f1D^6QcP09;gNjJ}0m4+&#lSOOOnj$jIo zz&J^~`1gH7|ALY)kn{*Ypo}fQ5~*&sX+VzUu<%5U7a<)nBAx-^yeXvWX;b_U>Yyec zhY|9KV~oFpZ2ub6sd+DzjsbnH&%z_95^ET(58+Qh+oO05$b#`BaBCx>J3itv4(Z9U)Qb_Kqi!;c?gqbP zL?5S%DH8)YB?0^n1axuM+6q6_mGDU_dpnJUKd5gE={4097&>{Tqp)vF~5#V zEZLm#6Wr~WF9d)mN#cmpys>~1%doWgyX(D4cc7-tGu6mLWn94&f0nf(YG_XH#_{Mj z-U+Cpw3*Dp5>-D7MOq$@7S%|@-<}G1o(q&3!wewH)F8dmgO3bJVKES}{xwA&U9PF7 z>0F)aNX8@Pq-Qv>ny~J-w~pBzOE>}1v1BkGH3>fIOeRy@wbz_q;*Hp}2pPry?x8Ts ziGTkb{YhZN5gL~U*EzyvNH{B98tM_>tpMIU%v)8ARy#QviW-SUF|O-^*a#sN-rn0u z3J+=kfezwvXK1h@mrV+ar}LLtbin;{m8HaNKOcD_#U)jY2i#6+fvQ+e(>k= zCg$Ad&(aj4^vng*#NWWiGPFJ!Q zG1VC4qvArr_%<1?@PUMzc)V{f5^#d~@RSENI7)!&Vk_MT(K#Sl({d?#rJi`~a8IL> zxEIBwGV$e;)_$vk2v$rgBeE)su6!^=SJygSKt~=^ON>uK>L=arl{)nXhzw+92yI*1 zcP$L4&hN4{u9eAqhpKFou$@l}=2exs?53PgHF;LkOGVimGpS2vxeR-?w^+#+j9bZE zeI#IhDVF4cxCF8m{E$X0*?L8A39Hn9b0Qgw$@=Or?J6mWOjnGU zmarv?R<#_U80woJ4=_#lz(~_&{xbJKxDzdJ4oOU0+4_)#!6}N$v6O5lL4L~iI!3Zi z7f{co_z5ID;|z53=*EN~TNSY|u#Bn0Xah)6)(DrguI6|dsp|5`dhxyvIY-?N4%t^oe(N9*41;&z=JbvR2f_7vR=t z8lkt zETSBk*!|UdDMD!!PM#P=ZRp1VGx6f@g3|!TPYn!f4K=7Y_Nz(qJ;JI)SQ%8v$-pm) z3?(birBN3|$26jCm`4i2jU-T2j_fx-dMx&4Q|45SU@FG4t6QVq0jod})khs%I~8lDD= zS64mLcU&T9Qn&n^8gaWHp*AT|0*J({@@g{%jEZRx&Q{zW&YuG zpp^7v_mij}_o1N4KVbsGQ3vR=>j2dnv=2v2dBVDj?)75+s;5&i8B^BsY7_NPY3f>X zy%ouQUxk`kX-5uI#4w-j2Gl>I4L|sd{`sYb@ce)v!2A1QCh98LGxx($vdXTrx4<36 zsn@7ni4qv!f}xTP*6eDd3kl;fCbpfCi;oEwI+rb)urnfGHSR@yv*B-i+k#Rrg0=$q z_Mht{JcumT>XJu~jd7GJl}OIiNpAE+3};6Ix2>jxheXZRR$yB$^ycC*rsy#OiCrQC zlL4`y2!!P3Si?`R(BENl7p2BL*wx2^vUD~ke~E#Bur@?sj0h_e##iKIdnCTenp{l^ z#~^Xp0ZNCJU}z#|keM#5a1lAhQFEn){=WBM1#9R;i)Jo&T<)pXjPzi)z{{QC^mV`n zhi+@*%%bT(S|x+GKm!vjkSeqBOeP2<*aK1^dU99`09dkufGutOFUS+^a*SgFBsomZ zO-J9+X7y@1l+L)YV6JgYej2E{?x2Fg9duZ8t8p%{DY-cLBNrz(!>e_1vQ-B-ooT!l zmh)>t^qpxii1E*$A9yaF7K|l3SzQ+Id0Xz8GM*^Z`OaFZbQckEZ&>YEjmbz*uXQ=_qC=hP-ljj5pcOyMh z#6W&ylWiwS=ev6ZZ-Bk^rEMGboIwrZt}Qxjl!L+X)cM>U&v%^kgifLFO@E4E}C?}7t5xv>TU!IUVNXPTVvlV2%vr3B7@DHuqj*oqxN zja)`P8!+ME*{+C={f-I{c)YN{KxP&x1wrUDW1cyaHI|^UAGi<@_?Q&5Q|{=;USW-e znc~-2x9hQq;C?Q(<0j_C+FMCR+C=?-wxKQEI?!^od7TQ&VYdEM+&Z(GW@uVLDYj0_C6QbT#v7k4UNq;k84xzdSLU+0?rZSGLr=UZ z;ED5ASE4)Vowe);p}dP!e9!t=Y=OroiHzWNv8L~dt!`M|hCmC|1VoNhND=*`+lj}x zbAgOnTTt?PFQ=cDgpvqp6d(6c%34^x23x7B93i4?h+&yH6CTNg!$SBnixn`S z=`vw=$~;fAPtwLy3GaPUyAN>#%@s)6arIaO=o7pM`!0cA_0tU2a|+%tTW7vwR1p{F zi(ZO*Ry)~0dxB9}5$BFeq(f*HrJeDUX12QrNZ}*BdV`SoDj9CXC0;CBvKArP`k*BL zvj2zu_oqgvb-L3JGH3oo^CZxAQ0hD2YOLrz+m zJ$DY}GKd0{48Jjr-yrPea~=9yL;i}YHbffo#UQj{HI7<5T8$U>L>V>cwiiO%AU8AF zt}AMtTfLg%ExYZ3qeymL)b_A5v{{0lvy0eKSpj@@6a#FqkEQzwVk+@sfHlSlBIdIV z1t9ncx5yyv9Qy4BmZd|c)l%t@QzN@sID}GyoK{lAQgN8uH-KCFm9WoC zJvJSB=I2OKY>n}gRIAi$r4QPt>%3E0hk~P(Js=yci>sRj5s)#ORET2=)??~it8QJL zHSaZvkAZpl7)+KnUQRK^)q!gsZ-tzQ!UlYMl-L}xQKs^Y?8qFtMB=n7RnpRO)T$Zy z8nzEZk=3hKue8SvsTr(oTPefce5?WAM-89l@#=DMdg{;YW;Z5Vx&v67)0qiq$X@ z?leX)*-32UZOPOOHf9mU4x4B&WV{=LNS1E$3nr7N=mAqSp(S#lY)-=Ha{YP&M3rZ# zoL{wh&=s-zj#%@n9WL`EU_0u5pb~PmLwu%Ez5o^#u1Hiqj4wfTA3md3-NrvA9EXAl zndsty)y_JUW5Mu***(;akGtNg*9OZ)SV(&%fujX!&qmQ%EbmWN%0=1>S8G!w<+3Rt z>kJKAOIm#a1OO;?O&Bqg> zHe07wHweGubged&?hus*1R=~H&ty@=%6Et0S-<{iAI~~D+wiq7;9(+P@*js4X@+XS_$?{GbGsVl~2V=w$g6o{{PUE8``>CZ*4gQ{{PDwUzGae}JxWLN(ZmiT=E53puhOtXN($fdK)L2SMv|C}DyH{b9WkOAs@Z zhI<5*FcHw({19QrF45V#D-+r`U**RL;6H^Y-vjBZS-miB+`+b$2I48+9i+$T05;*p z6=Rfy|I~tBcr2L$(SX8fJFEA#;qEX@jmWx0Y{w73Q~||60(SfchOhAAs}mx4^bXju zG{Qx0=b@iT48oh4FOh-Q*$~&K5G!C6)aAq9Ccyf5HZ-rb( z|J;8*f8sRWDdG+PPCP~Q;iG-L49X_iIBEB3wOh|vy-vhX4yELrc3UT=6e9nT^t6+h z!IvQ@2FWclflT)R4Jv%kT!2=dhETXJ-{C_1?hs=!fdYjgj`RoWDF1m>(-lv-5H>Fu z6&2nlB2(x+@s`!L)h9EmNYl|m%J}_KXPG$Sk-9P;%84mt?~7S0t2S(`~j2!MrfUb;-MrQ?(1?1k3zUzQQ-SdQs>phFHuS%k|p$0 zuXaNp6vpG|rIWjLRJ+-ULLP82DDe3?j7ngyoH70nL3-a0SWB9mpqv<~lOOiMZ$hFx zx{{Me+L~zF$1;zmNXCP&qZ{U$53JaIs|I^rSIi+%4p}EsaGQ6?Ws6Ajv0RU7hc_NuAn?%m@H7R!H*D9vT5{dkTc@|Qf z0N3BlmyQ38XBxWeh3$^VG>M4-uwv+NSb>ScKU7D6;jEduBdaB_Nu*Oc9+Knhrumn{ z7zf%Th0sA8I3pVYWoLCe-Ik5Bb9~I%f#5X|ctd;7PoQrLB96^bzgT85ZCrx{A=>bj zKhQg99->53YBY_ZZXd07j{lOF4K=(^Ww+GpRcMcVz1RmhvwE#>!Yr1!RTJhD89>mq zQ<-W;2)#ZJt^IPuM{CFK3{A9B;Eb7rzI_lrd)!!sb=O|2!rnYNUfl#B?w3fNU2KWf zYZO&YiD99t*@L8jtD2SKIS2((9qJs$O|VGakNH$HQwGou-05I-@t;2L`Q=8-v1par zkfi)Snf!P|>la#n(6Xtyzv;%t3#m8a4=(?@d;*tG;PMGvK7q?8aQOr-pTPfrP5>pF zVNNzJvlsoY2lXa!sIPS8*7q`7-r6qvwYKcWxA(XWbp0u@s|thpBX!IN9ddO+aC@;LhI4+5P!y@goj{IdcZYE!0?|_+tmW1&0OWVz;Ome}VlUc$@6J!_^aHcG)brACGltI+GLt?)iv9aV@t*ax^$lce*#}6Mv z4%mSkp|&XP&kt$>pPH^@#z}fm)@SEAazZC9uj8C@WCJK=1Bzzk8ugB4?4pVM@x8dBTc!%F1_F0mj~!zpt? zG}JGZ5`!wk;`{XuU^2?xt9ytRh(=SYk5pGwie$dJQ1xV?u)w2~#oVKpAej%D0l;H| zs8s|`pcbUj$2Is0p7*86UY!qYgP3v$2CL*6wV+YBp9~1odX<2-ayksiNk-icp@NW3 z&l+!s{rG0ku7c!$;YRyV=+lCV>N4xbP}jB}lBYo83B7GaDX)+9R^e+3H-_FaC6E_p z0E{__F{6vc0v3}W0lbFBgS62LtRmF06m*F^ixuc7@jKD8kTacdIztt5%tXKXk=8p2 zxkhDcAPJs#j)O#BU1If`)n3OuBQfk9H`#GZCrxz1JR@=iR5bvGmIW6OqGsl?P$Rbj zX}hnYg5G}yjv0k{fejt>8X(m3w1A@8sR~q);e~<6HSNibqX!oe)Ic13XF8!h8~#71 C5%XjK literal 0 HcmV?d00001 diff --git a/exercicios/para-casa/Projeto_guiado_II.ipynb b/exercicios/para-casa/Projeto_guiado_II.ipynb new file mode 100644 index 0000000..a36b5d5 --- /dev/null +++ b/exercicios/para-casa/Projeto_guiado_II.ipynb @@ -0,0 +1,4649 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# HR" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Introdução\n", + "\n", + "Neste projeto, o DataFrame de Recursos Humanos (RH) passou por várias etapas. Primeiramente, foi feita a padronização de todo o conjunto de dados para o idioma inglês, e, em seguida, ajustado o formato das datas para o padrão em português.\n", + "\n", + "Após a preparação dos dados, foi conduzida uma análise exploratória para obter uma compreensão mais profunda do conjunto de dados. Isso envolveu a exploração das variáveis e a identificação de tendências.\n", + "\n", + "Em seguida, avançou-se para a análise de insights, onde foram formuladas perguntas específicas para extrair informações valiosas sobre o desempenho e o ambiente de trabalho.\n", + "\n", + "### Data Frame\n", + "O DataFrame de Recursos Humanos (HR) é um conjunto de dados que contém informações sobre os funcionários de uma organização.
\n", + "Ele inclui detalhes como nome dos funcionários, departamento, salário, nível de satisfação, engajamento, data de admissão, data de desligamento, pontuação de performance, entre outros atributos relevantes.\n", + "
\n", + "Aqui estão as ações realizadas no DataFrame de Recursos Humanos:\n", + "\n", + "* Classificação de Engajamento: Os dados foram classificados com base na pontuação de engajamento em ordem decrescente, destacando os funcionários mais engajados.\n", + "\n", + "* Seleção dos 10 Melhores Funcionários: Os 10 funcionários com as maiores pontuações de engajamento foram selecionados para análise adicional.\n", + "\n", + "* Preenchimento de Dados Ausentes: Qualquer valor ausente na coluna de data de desligamento foi preenchido com a data atual para garantir consistência nos cálculos.\n", + "\n", + "* Cálculo de Tempo de Empresa: O tempo de serviço de cada funcionário na empresa foi calculado em dias e anos com base nas datas de admissão e desligamento.\n", + "\n", + "* Visualização de Tempo de Serviço: Um gráfico de barras empilhadas foi criado para mostrar o tempo de serviço dos 10 melhores funcionários, desagregado por departamento.\n", + "\n", + "* Personalização do Gráfico: A paleta de cores foi personalizada para representar os departamentos, e rótulos e títulos foram adicionados para tornar o gráfico informativo e esteticamente agradável.\n", + "\n", + "* Essas ações permitiram uma análise mais aprofundada do engajamento e do tempo de serviço dos funcionários, fornecendo insights valiosos sobre a força de trabalho da organização.\n", + "\n", + "[_Fonte_](https://www.kaggle.com/datasets/rhuebner/human-resources-data-set/code)\n", + "\n", + "\n", + "obs: \"Fatal attraction\" é uma expressão em inglês que se refere a uma situação em que alguém se sente fortemente atraído por outra pessoa, geralmente de forma obsessiva ou intensa, a ponto de essa atração se tornar prejudicial ou perigosa. Em contextos mais leves, pode se referir a um interesse romântico muito intenso que não é saudável." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Tratamentos\n" + ] + }, + { + "cell_type": "code", + "execution_count": 649, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: seaborn in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (0.13.0)Note: you may need to restart the kernel to use updated packages.\n", + "\n", + "Requirement already satisfied: numpy!=1.24.0,>=1.20 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from seaborn) (1.26.0)\n", + "Requirement already satisfied: pandas>=1.2 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from seaborn) (2.1.1)\n", + "Requirement already satisfied: matplotlib!=3.6.1,>=3.3 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from seaborn) (3.8.0)\n", + "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (1.1.1)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (4.43.1)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (1.4.5)\n", + "Requirement already satisfied: packaging>=20.0 in c:\\users\\stefa\\appdata\\roaming\\python\\python311\\site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (23.2)\n", + "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (10.1.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (3.1.1)\n", + "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\stefa\\appdata\\roaming\\python\\python311\\site-packages (from matplotlib!=3.6.1,>=3.3->seaborn) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas>=1.2->seaborn) (2023.3.post1)\n", + "Requirement already satisfied: tzdata>=2022.1 in c:\\users\\stefa\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas>=1.2->seaborn) (2023.3)\n", + "Requirement already satisfied: six>=1.5 in c:\\users\\stefa\\appdata\\roaming\\python\\python311\\site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.3->seaborn) (1.16.0)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "[notice] A new release of pip is available: 23.1.2 -> 23.3.1\n", + "[notice] To update, run: python.exe -m pip install --upgrade pip\n" + ] + } + ], + "source": [ + "#instalar a biblioteca Seaborn\n", + "pip install seaborn" + ] + }, + { + "cell_type": "code", + "execution_count": 651, + "metadata": {}, + "outputs": [], + "source": [ + "# bibliotecas \n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from datetime import datetime" + ] + }, + { + "cell_type": "code", + "execution_count": 652, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Employee_NameEmpIDMarriedIDMaritalStatusIDGenderIDEmpStatusIDDeptIDPerfScoreIDFromDiversityJobFairIDSalary...ManagerNameManagerIDRecruitmentSourcePerformanceScoreEngagementSurveyEmpSatisfactionSpecialProjectsCountLastPerformanceReview_DateDaysLateLast30Absences
0Adinolfi, Wilson K10026001154062506...Michael Albert22.0LinkedInExceeds4.60501/17/201901
1Ait Sidi, Karthikeyan100841115330104437...Simon Roup4.0IndeedFully Meets4.96362/24/2016017
2Akinkuolie, Sarah10196110553064955...Kissy Sullivan20.0LinkedInFully Meets3.02305/15/201203
3Alagbe,Trina10088110153064991...Elijiah Gray16.0IndeedFully Meets4.84501/3/2019015
4Anderson, Carol10069020553050825...Webster Butler39.0Google SearchFully Meets5.00402/1/201602
..................................................................
306Woodson, Jason10135001153065893...Kissy Sullivan20.0LinkedInFully Meets4.07402/28/2019013
307Ybarra, Catherine10301000551048513...Brannon Miller12.0Google SearchPIP3.20209/2/201554
308Zamora, Jennifer100100001340220450...Janet King2.0Employee ReferralExceeds4.60562/21/2019016
309Zhou, Julia10043000133089292...Simon Roup4.0Employee ReferralFully Meets5.00352/1/2019011
310Zima, Colleen10271040153045046...David Stanley14.0LinkedInFully Meets4.50501/30/201902
\n", + "

311 rows × 36 columns

\n", + "
" + ], + "text/plain": [ + " Employee_Name EmpID MarriedID MaritalStatusID GenderID \\\n", + "0 Adinolfi, Wilson K 10026 0 0 1 \n", + "1 Ait Sidi, Karthikeyan 10084 1 1 1 \n", + "2 Akinkuolie, Sarah 10196 1 1 0 \n", + "3 Alagbe,Trina 10088 1 1 0 \n", + "4 Anderson, Carol 10069 0 2 0 \n", + ".. ... ... ... ... ... \n", + "306 Woodson, Jason 10135 0 0 1 \n", + "307 Ybarra, Catherine 10301 0 0 0 \n", + "308 Zamora, Jennifer 10010 0 0 0 \n", + "309 Zhou, Julia 10043 0 0 0 \n", + "310 Zima, Colleen 10271 0 4 0 \n", + "\n", + " EmpStatusID DeptID PerfScoreID FromDiversityJobFairID Salary ... \\\n", + "0 1 5 4 0 62506 ... \n", + "1 5 3 3 0 104437 ... \n", + "2 5 5 3 0 64955 ... \n", + "3 1 5 3 0 64991 ... \n", + "4 5 5 3 0 50825 ... \n", + ".. ... ... ... ... ... ... \n", + "306 1 5 3 0 65893 ... \n", + "307 5 5 1 0 48513 ... \n", + "308 1 3 4 0 220450 ... \n", + "309 1 3 3 0 89292 ... \n", + "310 1 5 3 0 45046 ... \n", + "\n", + " ManagerName ManagerID RecruitmentSource PerformanceScore \\\n", + "0 Michael Albert 22.0 LinkedIn Exceeds \n", + "1 Simon Roup 4.0 Indeed Fully Meets \n", + "2 Kissy Sullivan 20.0 LinkedIn Fully Meets \n", + "3 Elijiah Gray 16.0 Indeed Fully Meets \n", + "4 Webster Butler 39.0 Google Search Fully Meets \n", + ".. ... ... ... ... \n", + "306 Kissy Sullivan 20.0 LinkedIn Fully Meets \n", + "307 Brannon Miller 12.0 Google Search PIP \n", + "308 Janet King 2.0 Employee Referral Exceeds \n", + "309 Simon Roup 4.0 Employee Referral Fully Meets \n", + "310 David Stanley 14.0 LinkedIn Fully Meets \n", + "\n", + " EngagementSurvey EmpSatisfaction SpecialProjectsCount \\\n", + "0 4.60 5 0 \n", + "1 4.96 3 6 \n", + "2 3.02 3 0 \n", + "3 4.84 5 0 \n", + "4 5.00 4 0 \n", + ".. ... ... ... \n", + "306 4.07 4 0 \n", + "307 3.20 2 0 \n", + "308 4.60 5 6 \n", + "309 5.00 3 5 \n", + "310 4.50 5 0 \n", + "\n", + " LastPerformanceReview_Date DaysLateLast30 Absences \n", + "0 1/17/2019 0 1 \n", + "1 2/24/2016 0 17 \n", + "2 5/15/2012 0 3 \n", + "3 1/3/2019 0 15 \n", + "4 2/1/2016 0 2 \n", + ".. ... ... ... \n", + "306 2/28/2019 0 13 \n", + "307 9/2/2015 5 4 \n", + "308 2/21/2019 0 16 \n", + "309 2/1/2019 0 11 \n", + "310 1/30/2019 0 2 \n", + "\n", + "[311 rows x 36 columns]" + ] + }, + "execution_count": 652, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# carregamentos dos dados do HR\n", + "df_hr = pd.read_csv(\"hr/HR/HRDataset_v14.csv\")\n", + "df_hr" + ] + }, + { + "cell_type": "code", + "execution_count": 653, + "metadata": {}, + "outputs": [], + "source": [ + "#backup\n", + "df_hr.shape #(311, 36)\n", + "df_backup = df_hr" + ] + }, + { + "cell_type": "code", + "execution_count": 584, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['Employee_Name', 'EmpID', 'MarriedID', 'MaritalStatusID', 'GenderID',\n", + " 'EmpStatusID', 'DeptID', 'PerfScoreID', 'FromDiversityJobFairID',\n", + " 'Salary', 'Termd', 'PositionID', 'Position', 'State', 'Zip', 'DOB',\n", + " 'Sex', 'MaritalDesc', 'CitizenDesc', 'HispanicLatino', 'RaceDesc',\n", + " 'DateofHire', 'DateofTermination', 'TermReason', 'EmploymentStatus',\n", + " 'Department', 'ManagerName', 'ManagerID', 'RecruitmentSource',\n", + " 'PerformanceScore', 'EngagementSurvey', 'EmpSatisfaction',\n", + " 'SpecialProjectsCount', 'LastPerformanceReview_Date', 'DaysLateLast30',\n", + " 'Absences'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "#df_hr.columns\n", + "print(df_hr.columns)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 585, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Employee_Name object\n", + "EmpID int64\n", + "MarriedID int64\n", + "MaritalStatusID int64\n", + "GenderID int64\n", + "EmpStatusID int64\n", + "DeptID int64\n", + "PerfScoreID int64\n", + "FromDiversityJobFairID int64\n", + "Salary int64\n", + "Termd int64\n", + "PositionID int64\n", + "Position object\n", + "State object\n", + "Zip int64\n", + "DOB object\n", + "Sex object\n", + "MaritalDesc object\n", + "CitizenDesc object\n", + "HispanicLatino object\n", + "RaceDesc object\n", + "DateofHire object\n", + "DateofTermination object\n", + "TermReason object\n", + "EmploymentStatus object\n", + "Department object\n", + "ManagerName object\n", + "ManagerID float64\n", + "RecruitmentSource object\n", + "PerformanceScore object\n", + "EngagementSurvey float64\n", + "EmpSatisfaction int64\n", + "SpecialProjectsCount int64\n", + "LastPerformanceReview_Date object\n", + "DaysLateLast30 int64\n", + "Absences int64\n", + "dtype: object" + ] + }, + "execution_count": 585, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#df_hr.columns\n", + "df_hr.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": {}, + "outputs": [], + "source": [ + "#ánalise do df\n", + "#df_hr.info()\n", + "#df_hr.describe()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 586, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Employee_Name 0\n", + "EmpID 0\n", + "MarriedID 0\n", + "MaritalStatusID 0\n", + "GenderID 0\n", + "EmpStatusID 0\n", + "DeptID 0\n", + "PerfScoreID 0\n", + "FromDiversityJobFairID 0\n", + "Salary 0\n", + "Termd 0\n", + "PositionID 0\n", + "Position 0\n", + "State 0\n", + "Zip 0\n", + "DOB 0\n", + "Sex 0\n", + "MaritalDesc 0\n", + "CitizenDesc 0\n", + "HispanicLatino 0\n", + "RaceDesc 0\n", + "DateofHire 0\n", + "DateofTermination 207\n", + "TermReason 0\n", + "EmploymentStatus 0\n", + "Department 0\n", + "ManagerName 0\n", + "ManagerID 8\n", + "RecruitmentSource 0\n", + "PerformanceScore 0\n", + "EngagementSurvey 0\n", + "EmpSatisfaction 0\n", + "SpecialProjectsCount 0\n", + "LastPerformanceReview_Date 0\n", + "DaysLateLast30 0\n", + "Absences 0\n", + "dtype: int64" + ] + }, + "execution_count": 586, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#verificação das quantidade de nulos por colunas\n", + "df_hr.isna().sum() # DateofTermination = 207, ManagerID 8" + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "metadata": {}, + "outputs": [], + "source": [ + "#analise exploratoria das colunas\n", + "\n", + "#df_hr['Employee_Name'].unique()\n", + "# df_hr['EmpID'].unique()\n", + "# df_hr['MarriedID'].unique() #boleano = 1 é verdadeiro, 0 é falso\n", + "# df_hr['MaritalStatusID'].unique() #0, 1, 2, 4, 3\n", + "# df_hr['GenderID'].unique() #boleano\n", + "# df_hr['EmpStatusID'].unique() #1, 5, 3, 4, 2\n", + "# df_hr['DeptID'].unique() #5, 3, 4, 1, 6, 2\n", + "# df_hr['PerfScoreID'].unique() #4, 3, 2, 1\n", + "# df_hr['FromDiversityJobFairID'].unique() # boleano\n", + "# df_hr['Salary'].unique()\n", + "# df_hr['Termd'].unique() #boleano\n", + "# df_hr['PositionID'].unique()\n", + "# df_hr['State'].unique()\n", + "# df_hr['Zip'].unique()\n", + "# df_hr['DOB'].unique()\n", + "# df_hr['Sex'].unique() #'M ', 'F'\n", + "# df_hr['MaritalDesc'].unique() #Single', 'Married', 'Divorced', 'Widowed', 'Separated'\n", + "# df_hr['CitizenDesc'].unique() #'US Citizen', 'Eligible NonCitizen', 'Non-Citizen'\n", + "# df_hr['HispanicLatino'].unique() #No', 'Yes', 'no', 'yes'\n", + "# df_hr['RaceDesc'].unique() #'White', 'Black or African American', 'Two or more races', 'Asian','American Indian or Alaska Native', 'Hispanic'\n", + "# df_hr['DateofHire'].unique()\n", + "# df_hr['DateofTermination'].unique()\n", + "# df_hr['TermReason'].unique()\n", + "# df_hr['EmploymentStatus'].unique() # 'Active', 'Voluntarily Terminated', 'Terminated for Cause'\n", + "# df_hr['Department'].unique()\n", + "# df_hr['ManagerName'].unique()\n", + "# df_hr['ManagerID'].unique()\n", + "# df_hr['RecruitmentSource'].unique() #'LinkedIn', 'Indeed', 'Google Search', 'Employee Referral','Diversity Job Fair', 'On-line Web application', 'CareerBuilder','Website', 'Other'\n", + "# df_hr['PerformanceScore'].unique() #Exceeds', 'Fully Meets', 'Needs Improvement', 'PIP'\n", + "# df_hr['EngagementSurvey'].unique()\n", + "# df_hr['EmpSatisfaction'].unique() #5, 3, 4, 2, 1\n", + "# df_hr['SpecialProjectsCount'].unique() #0, 6, 4, 5, 7, 3, 8, 2, 1\n", + "# df_hr['LastPerformanceReview_Date'].unique()\n", + "# df_hr['DaysLateLast30'].unique()\n", + "# df_hr['Absences'].unique() #1, 17, 3, 15, 2, 19, 4, 16, 12, 9, 7, 20, 8, 13, 5, 14, 6, 11, 10, 18" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Employee_NameEmpIDMarriedIDMaritalStatusIDGenderIDEmpStatusIDDeptIDPerfScoreIDFromDiversityJobFairIDSalary...ManagerNameManagerIDRecruitmentSourcePerformanceScoreEngagementSurveyEmpSatisfactionSpecialProjectsCountLastPerformanceReview_DateDaysLateLast30Absences
0Adinolfi, Wilson K10026001154062506...Michael Albert22.0LinkedInExceeds4.60501/17/201901
1Ait Sidi, Karthikeyan100841115330104437...Simon Roup4.0IndeedFully Meets4.96362/24/2016017
2Akinkuolie, Sarah10196110553064955...Kissy Sullivan20.0LinkedInFully Meets3.02305/15/201203
3Alagbe,Trina10088110153064991...Elijiah Gray16.0IndeedFully Meets4.84501/3/2019015
4Anderson, Carol10069020553050825...Webster Butler39.0Google SearchFully Meets5.00402/1/201602
5Anderson, Linda10002000154057568...Amy Dunn11.0LinkedInExceeds5.00501/7/2019015
6Andreola, Colby10194000143095660...Alex Sweetwater10.0LinkedInFully Meets3.04341/2/2019019
7Athwal, Sam10062041153059365...Ketsia Liebig19.0Employee ReferralFully Meets5.00402/25/2019019
8Bachiochi, Linda10114000353147837...Brannon Miller12.0Diversity Job FairFully Meets4.46301/25/201904
9Bacong, Alejandro10250021133050178...Peter Monroe7.0IndeedFully Meets5.00562/18/2019016
10Baczenski, Rachael10252110553154670...David Stanley14.0Diversity Job FairFully Meets4.20401/30/2016012
11Barbara, Thomas10242111553147211...Kissy Sullivan20.0Diversity Job FairFully Meets4.20305/6/2016015
12Barbossa, Hector10012021134192328...Simon Roup4.0Diversity Job FairExceeds4.28452/25/201909
13Barone, Francesco A10265001153058709...Kelley Spirea18.0Google SearchFully Meets4.60402/14/201907
14Barton, Nader10066021553052505...Michael Albert22.0On-line Web applicationFully Meets5.00503/2/201701
15Bates, Norman10061001453057834...Kelley Spirea18.0Google SearchFully Meets5.00404/5/2017020
16Beak, Kimberly10023110254070131...Kelley Spirea18.0Employee ReferralExceeds4.40301/14/2019016
17Beatrice, Courtney10055000153059026...Elijiah Gray16.0Google SearchFully Meets5.00501/14/2019012
18Becker, Renee102450004330110000...Simon Roup4.0Google SearchFully Meets4.50451/15/201508
19Becker, Scott10277001353053250...Webster ButlerNaNLinkedInFully Meets4.20401/11/2019013
\n", + "

20 rows × 36 columns

\n", + "
" + ], + "text/plain": [ + " Employee_Name EmpID MarriedID MaritalStatusID GenderID \\\n", + "0 Adinolfi, Wilson K 10026 0 0 1 \n", + "1 Ait Sidi, Karthikeyan 10084 1 1 1 \n", + "2 Akinkuolie, Sarah 10196 1 1 0 \n", + "3 Alagbe,Trina 10088 1 1 0 \n", + "4 Anderson, Carol 10069 0 2 0 \n", + "5 Anderson, Linda 10002 0 0 0 \n", + "6 Andreola, Colby 10194 0 0 0 \n", + "7 Athwal, Sam 10062 0 4 1 \n", + "8 Bachiochi, Linda 10114 0 0 0 \n", + "9 Bacong, Alejandro 10250 0 2 1 \n", + "10 Baczenski, Rachael 10252 1 1 0 \n", + "11 Barbara, Thomas 10242 1 1 1 \n", + "12 Barbossa, Hector 10012 0 2 1 \n", + "13 Barone, Francesco A 10265 0 0 1 \n", + "14 Barton, Nader 10066 0 2 1 \n", + "15 Bates, Norman 10061 0 0 1 \n", + "16 Beak, Kimberly 10023 1 1 0 \n", + "17 Beatrice, Courtney 10055 0 0 0 \n", + "18 Becker, Renee 10245 0 0 0 \n", + "19 Becker, Scott 10277 0 0 1 \n", + "\n", + " EmpStatusID DeptID PerfScoreID FromDiversityJobFairID Salary ... \\\n", + "0 1 5 4 0 62506 ... \n", + "1 5 3 3 0 104437 ... \n", + "2 5 5 3 0 64955 ... \n", + "3 1 5 3 0 64991 ... \n", + "4 5 5 3 0 50825 ... \n", + "5 1 5 4 0 57568 ... \n", + "6 1 4 3 0 95660 ... \n", + "7 1 5 3 0 59365 ... \n", + "8 3 5 3 1 47837 ... \n", + "9 1 3 3 0 50178 ... \n", + "10 5 5 3 1 54670 ... \n", + "11 5 5 3 1 47211 ... \n", + "12 1 3 4 1 92328 ... \n", + "13 1 5 3 0 58709 ... \n", + "14 5 5 3 0 52505 ... \n", + "15 4 5 3 0 57834 ... \n", + "16 2 5 4 0 70131 ... \n", + "17 1 5 3 0 59026 ... \n", + "18 4 3 3 0 110000 ... \n", + "19 3 5 3 0 53250 ... \n", + "\n", + " ManagerName ManagerID RecruitmentSource PerformanceScore \\\n", + "0 Michael Albert 22.0 LinkedIn Exceeds \n", + "1 Simon Roup 4.0 Indeed Fully Meets \n", + "2 Kissy Sullivan 20.0 LinkedIn Fully Meets \n", + "3 Elijiah Gray 16.0 Indeed Fully Meets \n", + "4 Webster Butler 39.0 Google Search Fully Meets \n", + "5 Amy Dunn 11.0 LinkedIn Exceeds \n", + "6 Alex Sweetwater 10.0 LinkedIn Fully Meets \n", + "7 Ketsia Liebig 19.0 Employee Referral Fully Meets \n", + "8 Brannon Miller 12.0 Diversity Job Fair Fully Meets \n", + "9 Peter Monroe 7.0 Indeed Fully Meets \n", + "10 David Stanley 14.0 Diversity Job Fair Fully Meets \n", + "11 Kissy Sullivan 20.0 Diversity Job Fair Fully Meets \n", + "12 Simon Roup 4.0 Diversity Job Fair Exceeds \n", + "13 Kelley Spirea 18.0 Google Search Fully Meets \n", + "14 Michael Albert 22.0 On-line Web application Fully Meets \n", + "15 Kelley Spirea 18.0 Google Search Fully Meets \n", + "16 Kelley Spirea 18.0 Employee Referral Exceeds \n", + "17 Elijiah Gray 16.0 Google Search Fully Meets \n", + "18 Simon Roup 4.0 Google Search Fully Meets \n", + "19 Webster Butler NaN LinkedIn Fully Meets \n", + "\n", + " EngagementSurvey EmpSatisfaction SpecialProjectsCount \\\n", + "0 4.60 5 0 \n", + "1 4.96 3 6 \n", + "2 3.02 3 0 \n", + "3 4.84 5 0 \n", + "4 5.00 4 0 \n", + "5 5.00 5 0 \n", + "6 3.04 3 4 \n", + "7 5.00 4 0 \n", + "8 4.46 3 0 \n", + "9 5.00 5 6 \n", + "10 4.20 4 0 \n", + "11 4.20 3 0 \n", + "12 4.28 4 5 \n", + "13 4.60 4 0 \n", + "14 5.00 5 0 \n", + "15 5.00 4 0 \n", + "16 4.40 3 0 \n", + "17 5.00 5 0 \n", + "18 4.50 4 5 \n", + "19 4.20 4 0 \n", + "\n", + " LastPerformanceReview_Date DaysLateLast30 Absences \n", + "0 1/17/2019 0 1 \n", + "1 2/24/2016 0 17 \n", + "2 5/15/2012 0 3 \n", + "3 1/3/2019 0 15 \n", + "4 2/1/2016 0 2 \n", + "5 1/7/2019 0 15 \n", + "6 1/2/2019 0 19 \n", + "7 2/25/2019 0 19 \n", + "8 1/25/2019 0 4 \n", + "9 2/18/2019 0 16 \n", + "10 1/30/2016 0 12 \n", + "11 5/6/2016 0 15 \n", + "12 2/25/2019 0 9 \n", + "13 2/14/2019 0 7 \n", + "14 3/2/2017 0 1 \n", + "15 4/5/2017 0 20 \n", + "16 1/14/2019 0 16 \n", + "17 1/14/2019 0 12 \n", + "18 1/15/2015 0 8 \n", + "19 1/11/2019 0 13 \n", + "\n", + "[20 rows x 36 columns]" + ] + }, + "execution_count": 194, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#df_hr.head(20)\n", + "df_hr.iloc[:20, :] # Seleciona as primeiras 20 linhas e todas as colunas" + ] + }, + { + "cell_type": "code", + "execution_count": 655, + "metadata": {}, + "outputs": [], + "source": [ + "# Dicionário de mapeamento dos nomes das colunas em inglês para português\n", + "mapeamento_colunas = {\n", + " 'Employee_Name': 'Nome_do_Funcionário',\n", + " 'EmpID': 'ID_Funcionário',\n", + " 'MarriedID': 'Casado',\n", + " 'MaritalStatusID': 'ID_Estado_Civil',\n", + " 'GenderID': 'ID_Gênero',\n", + " 'EmpStatusID': 'ID_Status_Funcionário',\n", + " 'DeptID': 'ID_Departamento',\n", + " 'PerfScoreID': 'ID_Pontuação_Performance',\n", + " 'FromDiversityJobFairID': 'ID_Feira_Diversidade',\n", + " 'Salary': 'Salário',\n", + " 'Termd': 'Desligado',\n", + " 'PositionID': 'ID_Cargo',\n", + " 'Position': 'Cargo',\n", + " 'State': 'Estado',\n", + " 'Zip': 'CEP',\n", + " 'DOB': 'Data_de_Nascimento',\n", + " 'Sex': 'Gênero',\n", + " 'MaritalDesc': 'Estado_Civil',\n", + " 'CitizenDesc': 'Nacionalidade',\n", + " 'HispanicLatino': 'Hispano_Latino',\n", + " 'RaceDesc': 'Raça',\n", + " 'DateofHire': 'Data_de_Admissão',\n", + " 'DateofTermination': 'Data_de_Desligamento',\n", + " 'TermReason': 'Motivo_Desligamento',\n", + " 'EmploymentStatus': 'Status_Emprego',\n", + " 'Department': 'Departamento',\n", + " 'ManagerName': 'Nome_Gerente',\n", + " 'ManagerID': 'ID_Gerente',\n", + " 'RecruitmentSource': 'Fonte_Recrutamento',\n", + " 'PerformanceScore': 'Pontuação_Performance',\n", + " 'EngagementSurvey': 'Pesquisa_Engajamento',\n", + " 'EmpSatisfaction': 'Satisfação_Funcionário',\n", + " 'SpecialProjectsCount': 'Contagem_Projetos_Especiais',\n", + " 'LastPerformanceReview_Date': 'Data_Última_Avaliação',\n", + " 'DaysLateLast30': 'Dias_Atraso_30_Dias',\n", + " 'Absences': 'Faltas'\n", + "}\n", + "\n", + "# Use o método rename() para renomear as colunas\n", + "df_hr.rename(columns=mapeamento_colunas, inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 656, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Exceeds', 'Fully Meets', 'Needs Improvement', 'PIP'], dtype=object)" + ] + }, + "execution_count": 656, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_hr['Pontuação_Performance'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 657, + "metadata": {}, + "outputs": [], + "source": [ + "# Dicionário de tradução\n", + "traducao_pontuacao = {\n", + " 'Exceeds': 'Supera',\n", + " 'Fully Meets': 'Atende Plenamente',\n", + " 'Needs Improvement': 'Necessita de Melhoria',\n", + " 'PIP': 'Plano de Melhoria de Desempenho'\n", + "}\n", + "\n", + "# Use o método replace() para traduzir os valores na coluna\n", + "df_hr['Pontuação_Performance'] = df_hr['Pontuação_Performance'].replace(traducao_pontuacao)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 658, + "metadata": {}, + "outputs": [], + "source": [ + "# Dicionário de tradução\n", + "traducao_fonte_recrutamento = {\n", + " 'LinkedIn': 'LinkedIn',\n", + " 'Indeed': 'Indeed',\n", + " 'Google Search': 'Pesquisa no Google',\n", + " 'Employee Referral': 'Indicação de Funcionário',\n", + " 'Diversity Job Fair': 'Feira de Empregos para Diversidade',\n", + " 'On-line Web application': 'Aplicação Online',\n", + " 'CareerBuilder': 'CareerBuilder',\n", + " 'Website': 'Website',\n", + " 'Other': 'Outro'\n", + "}\n", + "\n", + "# método replace() para traduzir\n", + "df_hr['Fonte_Recrutamento'] = df_hr['Fonte_Recrutamento'].replace(traducao_fonte_recrutamento)" + ] + }, + { + "cell_type": "code", + "execution_count": 659, + "metadata": {}, + "outputs": [], + "source": [ + "# dicionario de tradução\n", + "# Dicionário com traduções de cargos\n", + "cargos = {\n", + " 'Production Technician I': 'Técnico de Produção I',\n", + " 'Sr. DBA': 'DBA Sênior', #Administrador de Banco de Dados\n", + " 'Production Technician II': 'Técnico de Produção II',\n", + " 'Software Engineer': 'Engenheiro de Software',\n", + " 'IT Support': 'Suporte de TI',\n", + " 'Data Analyst': 'Analista de Dados',\n", + " 'Database Administrator': 'Administrador de Banco de Dados',\n", + " 'Enterprise Architect': 'Arquiteto Corporativo',\n", + " 'Sr. Accountant': 'Contador Sênior',\n", + " 'Production Manager': 'Gerente de Produção',\n", + " 'Accountant I': 'Contador I',\n", + " 'Area Sales Manager': 'Gerente de Vendas de Área',\n", + " 'Software Engineering Manager': 'Gerente de Engenharia de Software',\n", + " 'BI Director': 'Diretor de Business Intelligence',\n", + " 'Director of Operations': 'Diretor de Operações',\n", + " 'Sr. Network Engineer': 'Engenheiro de Rede Sênior',\n", + " 'Sales Manager': 'Gerente de Vendas',\n", + " 'BI Developer': 'Desenvolvedor de Business Intelligence',\n", + " 'IT Manager - Support': 'Gerente de TI - Suporte',\n", + " 'Network Engineer': 'Engenheiro de Rede',\n", + " 'IT Director': 'Diretor de TI',\n", + " 'Director of Sales': 'Diretor de Vendas',\n", + " 'Administrative Assistant': 'Assistente Administrativo',\n", + " 'President & CEO': 'Presidente e CEO',\n", + " 'Senior BI Developer': 'Desenvolvedor Sênior de Business Intelligence',\n", + " 'Shared Services Manager': 'Gerente de Serviços Compartilhados',\n", + " 'IT Manager - Infra': 'Gerente de TI - Infraestrutura',\n", + " 'Principal Data Architect': 'Arquiteto de Dados Principal',\n", + " 'Data Architect': 'Arquiteto de Dados',\n", + " 'IT Manager - DB': 'Gerente de TI - Banco de Dados',\n", + " 'Data Analyst ': 'Analista de Dados',\n", + " 'CIO': 'CIO' # Chief Information Officer\n", + "}\n", + "\n", + "# método replace() para traduzir\n", + "df_hr['Cargo'] = df_hr['Cargo'].replace(cargos)" + ] + }, + { + "cell_type": "code", + "execution_count": 660, + "metadata": {}, + "outputs": [], + "source": [ + "# Dicionário com traduções de estados civis\n", + "estados_civis = {\n", + " 'Single': 'Solteiro(a)',\n", + " 'Married': 'Casado(a)',\n", + " 'Divorced': 'Divorciado(a)',\n", + " 'Widowed': 'Viúvo(a)',\n", + " 'Separated': 'Separado(a)'\n", + "}\n", + "\n", + "# método replace() para traduzir\n", + "df_hr['Estado_Civil'] = df_hr['Estado_Civil'].replace(estados_civis)" + ] + }, + { + "cell_type": "code", + "execution_count": 661, + "metadata": {}, + "outputs": [], + "source": [ + "#Dicionário com traduções de sim ou não \n", + "hispano_latino = {\n", + " 'No': 'Não',\n", + " 'Yes' : 'Sim',\n", + " 'no' : 'Não',\n", + " 'yes' : 'Sim'\n", + "}\n", + "\n", + "# método replace() para traduzir\n", + "df_hr['Hispano_Latino'] = df_hr['Hispano_Latino'].replace(hispano_latino)" + ] + }, + { + "cell_type": "code", + "execution_count": 662, + "metadata": {}, + "outputs": [], + "source": [ + "# Dicionário com traduções de status de cidadania\n", + "status_cidadania = {\n", + " 'US Citizen': 'Cidadão dos EUA',\n", + " 'Eligible NonCitizen': 'Elegível não cidadão',\n", + " 'Non-Citizen': 'Não cidadão'\n", + "}\n", + "\n", + "#tradução\n", + "df_hr['Nacionalidade'] = df_hr['Nacionalidade'].replace(status_cidadania)" + ] + }, + { + "cell_type": "code", + "execution_count": 663, + "metadata": {}, + "outputs": [], + "source": [ + "# Converta a coluna de data para o formato desejado\n", + "df_hr['Data_de_Nascimento'] = pd.to_datetime(df_hr['Data_de_Nascimento'], format='%m/%d/%y').dt.strftime('%d/%m/%Y')" + ] + }, + { + "cell_type": "code", + "execution_count": 664, + "metadata": {}, + "outputs": [], + "source": [ + "# Converta a coluna de Data_de_Admissão para o formato desejado\n", + "df_hr['Data_de_Admissão'] = pd.to_datetime(df_hr['Data_de_Admissão'], format='%m/%d/%Y').dt.strftime('%d/%m/%Y')" + ] + }, + { + "cell_type": "code", + "execution_count": 665, + "metadata": {}, + "outputs": [], + "source": [ + "# Converta a coluna de Data_de_Desligamento para o formato desejado\n", + "df_hr['Data_de_Desligamento'] = pd.to_datetime(df_hr['Data_de_Desligamento'], format='%m/%d/%Y').dt.strftime('%d/%m/%Y')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 666, + "metadata": {}, + "outputs": [], + "source": [ + "# Dicionário de tradução das raças\n", + "traducao_racas = {\n", + " 'White': 'Branco',\n", + " 'Black or African American': 'Negro ou Afro-americano',\n", + " 'Two or more races': 'Duas ou mais raças',\n", + " 'Asian': 'Asiático',\n", + " 'American Indian or Alaska Native': 'Indígena Americano ou Nativo do Alasca',\n", + " 'Hispanic': 'Hispano'\n", + "}\n", + "\n", + "# método replace() para traduzir\n", + "df_hr['Raça'] = df_hr['Raça'].replace(traducao_racas)" + ] + }, + { + "cell_type": "code", + "execution_count": 667, + "metadata": {}, + "outputs": [], + "source": [ + "# Dicionário de tradução dos motivos de término de emprego\n", + "traducao_motivos_termino = {\n", + " 'N/A-StillEmployed': 'Não se aplica - Ainda empregado',\n", + " 'career change': 'Mudança de carreira',\n", + " 'hours': 'Horas de trabalho',\n", + " 'return to school': 'Retorno à escola',\n", + " 'Another position': 'Outra posição',\n", + " 'unhappy': 'Insatisfação',\n", + " 'attendance': 'Frequência',\n", + " 'performance': 'Desempenho',\n", + " 'Learned that he is a gangster': 'Descobriu que ele é um gângster',\n", + " 'retiring': 'Aposentadoria',\n", + " 'relocation out of area': 'Mudança de área',\n", + " 'more money': 'Mais dinheiro',\n", + " 'military': 'Serviço militar',\n", + " 'no-call, no-show': 'Sem ligação, sem comparecimento',\n", + " 'Fatal attraction': 'Atração fatal', #\"fatal attraction\" é uma expressão usada para descrever uma atração intensa que pode ter consequências negativas ou perigosas. \n", + " 'maternity leave - did not return': 'Licença maternidade - não retornou',\n", + " 'medical issues': 'Questões médicas',\n", + " 'gross misconduct': 'Conduta inadequada grave'\n", + "}\n", + "\n", + "# método replace() para traduzir\n", + "df_hr['Motivo_Desligamento'] = df_hr['Motivo_Desligamento'].replace(traducao_motivos_termino)" + ] + }, + { + "cell_type": "code", + "execution_count": 668, + "metadata": {}, + "outputs": [], + "source": [ + "# Defina um dicionário com as traduções\n", + "demissoes = {\n", + " 'Active': 'Ativo',\n", + " 'Voluntarily Terminated': 'Demissão Voluntária',\n", + " 'Terminated for Cause': 'Demissão por Justa Causa'\n", + "}\n", + "\n", + "#tradução\n", + "df_hr['Status_Emprego'] = df_hr['Status_Emprego'].replace(demissoes)" + ] + }, + { + "cell_type": "code", + "execution_count": 669, + "metadata": {}, + "outputs": [], + "source": [ + "# Defina um dicionário com as traduções\n", + "\n", + "traducoes_departamentos = {\n", + " 'Production ': 'Produção',\n", + " 'IT/IS': 'Tecnologia da Informação/Sistemas',\n", + " 'Software Engineering': 'Engenharia de Software',\n", + " 'Admin Offices': 'Escritórios Administrativos',\n", + " 'Sales': 'Vendas',\n", + " 'Executive Office': 'Escritório Executivo'\n", + "}\n", + "\n", + "#tradução\n", + "df_hr['Departamento'] = df_hr['Departamento'].replace(traducoes_departamentos)" + ] + }, + { + "cell_type": "code", + "execution_count": 670, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DesligadoID_CargoCargoEstadoCEPData_de_NascimentoGêneroEstado_CivilNacionalidadeHispano_Latino...Nome_GerenteID_GerenteFonte_RecrutamentoPontuação_PerformancePesquisa_EngajamentoSatisfação_FuncionárioContagem_Projetos_EspeciaisData_Última_AvaliaçãoDias_Atraso_30_DiasFaltas
0019Técnico de Produção IMA196010/07/1983MSolteiro(a)Cidadão dos EUANão...Michael Albert22.0LinkedInSupera4.60501/17/201901
1127DBA SêniorMA214805/05/1975MCasado(a)Cidadão dos EUANão...Simon Roup4.0IndeedAtende Plenamente4.96362/24/2016017
2120Técnico de Produção IIMA181019/09/1988FCasado(a)Cidadão dos EUANão...Kissy Sullivan20.0LinkedInAtende Plenamente3.02305/15/201203
3019Técnico de Produção IMA188627/09/1988FCasado(a)Cidadão dos EUANão...Elijiah Gray16.0IndeedAtende Plenamente4.84501/3/2019015
4119Técnico de Produção IMA216908/09/1989FDivorciado(a)Cidadão dos EUANão...Webster Butler39.0Pesquisa no GoogleAtende Plenamente5.00402/1/201602
\n", + "

5 rows × 26 columns

\n", + "
" + ], + "text/plain": [ + " Desligado ID_Cargo Cargo Estado CEP \\\n", + "0 0 19 Técnico de Produção I MA 1960 \n", + "1 1 27 DBA Sênior MA 2148 \n", + "2 1 20 Técnico de Produção II MA 1810 \n", + "3 0 19 Técnico de Produção I MA 1886 \n", + "4 1 19 Técnico de Produção I MA 2169 \n", + "\n", + " Data_de_Nascimento Gênero Estado_Civil Nacionalidade Hispano_Latino \\\n", + "0 10/07/1983 M Solteiro(a) Cidadão dos EUA Não \n", + "1 05/05/1975 M Casado(a) Cidadão dos EUA Não \n", + "2 19/09/1988 F Casado(a) Cidadão dos EUA Não \n", + "3 27/09/1988 F Casado(a) Cidadão dos EUA Não \n", + "4 08/09/1989 F Divorciado(a) Cidadão dos EUA Não \n", + "\n", + " ... Nome_Gerente ID_Gerente Fonte_Recrutamento Pontuação_Performance \\\n", + "0 ... Michael Albert 22.0 LinkedIn Supera \n", + "1 ... Simon Roup 4.0 Indeed Atende Plenamente \n", + "2 ... Kissy Sullivan 20.0 LinkedIn Atende Plenamente \n", + "3 ... Elijiah Gray 16.0 Indeed Atende Plenamente \n", + "4 ... Webster Butler 39.0 Pesquisa no Google Atende Plenamente \n", + "\n", + " Pesquisa_Engajamento Satisfação_Funcionário Contagem_Projetos_Especiais \\\n", + "0 4.60 5 0 \n", + "1 4.96 3 6 \n", + "2 3.02 3 0 \n", + "3 4.84 5 0 \n", + "4 5.00 4 0 \n", + "\n", + " Data_Última_Avaliação Dias_Atraso_30_Dias Faltas \n", + "0 1/17/2019 0 1 \n", + "1 2/24/2016 0 17 \n", + "2 5/15/2012 0 3 \n", + "3 1/3/2019 0 15 \n", + "4 2/1/2016 0 2 \n", + "\n", + "[5 rows x 26 columns]" + ] + }, + "execution_count": 670, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_hr.iloc[:5, 10:36]" + ] + }, + { + "cell_type": "code", + "execution_count": 671, + "metadata": {}, + "outputs": [], + "source": [ + "# Converta a coluna de Data_Última_Avaliação para o formato desejado\n", + "df_hr['Data_Última_Avaliação'] = pd.to_datetime(df_hr['Data_Última_Avaliação'], format='%m/%d/%Y').dt.strftime('%d/%m/%Y')" + ] + }, + { + "cell_type": "code", + "execution_count": 672, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Nome_do_FuncionárioID_FuncionárioCasadoID_Estado_CivilID_GêneroID_Status_FuncionárioID_DepartamentoID_Pontuação_PerformanceID_Feira_DiversidadeSalário...Nome_GerenteID_GerenteFonte_RecrutamentoPontuação_PerformancePesquisa_EngajamentoSatisfação_FuncionárioContagem_Projetos_EspeciaisData_Última_AvaliaçãoDias_Atraso_30_DiasFaltas
0Adinolfi, Wilson K10026001154062506...Michael Albert22.0LinkedInSupera4.605017/01/201901
1Ait Sidi, Karthikeyan100841115330104437...Simon Roup4.0IndeedAtende Plenamente4.963624/02/2016017
2Akinkuolie, Sarah10196110553064955...Kissy Sullivan20.0LinkedInAtende Plenamente3.023015/05/201203
3Alagbe,Trina10088110153064991...Elijiah Gray16.0IndeedAtende Plenamente4.845003/01/2019015
4Anderson, Carol10069020553050825...Webster Butler39.0Pesquisa no GoogleAtende Plenamente5.004001/02/201602
\n", + "

5 rows × 36 columns

\n", + "
" + ], + "text/plain": [ + " Nome_do_Funcionário ID_Funcionário Casado ID_Estado_Civil \\\n", + "0 Adinolfi, Wilson K 10026 0 0 \n", + "1 Ait Sidi, Karthikeyan 10084 1 1 \n", + "2 Akinkuolie, Sarah 10196 1 1 \n", + "3 Alagbe,Trina 10088 1 1 \n", + "4 Anderson, Carol 10069 0 2 \n", + "\n", + " ID_Gênero ID_Status_Funcionário ID_Departamento \\\n", + "0 1 1 5 \n", + "1 1 5 3 \n", + "2 0 5 5 \n", + "3 0 1 5 \n", + "4 0 5 5 \n", + "\n", + " ID_Pontuação_Performance ID_Feira_Diversidade Salário ... \\\n", + "0 4 0 62506 ... \n", + "1 3 0 104437 ... \n", + "2 3 0 64955 ... \n", + "3 3 0 64991 ... \n", + "4 3 0 50825 ... \n", + "\n", + " Nome_Gerente ID_Gerente Fonte_Recrutamento Pontuação_Performance \\\n", + "0 Michael Albert 22.0 LinkedIn Supera \n", + "1 Simon Roup 4.0 Indeed Atende Plenamente \n", + "2 Kissy Sullivan 20.0 LinkedIn Atende Plenamente \n", + "3 Elijiah Gray 16.0 Indeed Atende Plenamente \n", + "4 Webster Butler 39.0 Pesquisa no Google Atende Plenamente \n", + "\n", + " Pesquisa_Engajamento Satisfação_Funcionário Contagem_Projetos_Especiais \\\n", + "0 4.60 5 0 \n", + "1 4.96 3 6 \n", + "2 3.02 3 0 \n", + "3 4.84 5 0 \n", + "4 5.00 4 0 \n", + "\n", + " Data_Última_Avaliação Dias_Atraso_30_Dias Faltas \n", + "0 17/01/2019 0 1 \n", + "1 24/02/2016 0 17 \n", + "2 15/05/2012 0 3 \n", + "3 03/01/2019 0 15 \n", + "4 01/02/2016 0 2 \n", + "\n", + "[5 rows x 36 columns]" + ] + }, + "execution_count": 672, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_hr.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 673, + "metadata": {}, + "outputs": [], + "source": [ + "#salvar o no datasete em um novo após os trtamentos das bases\n", + "df_rh = df_hr" + ] + }, + { + "cell_type": "code", + "execution_count": 608, + "metadata": {}, + "outputs": [], + "source": [ + "# Especifique o caminho do arquivo CSV onde você deseja salvar os dados\n", + "caminho_arquivo_csv = 'dados_rh.csv'\n", + "\n", + "# Use o método to_csv() para salvar o DataFrame no arquivo CSV\n", + "df_rh.to_csv(caminho_arquivo_csv, index=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## \"Análise Exploratória de Dados\" (AED)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Recrutamento e Ferramentas:\n", + "* Qual é a ferramenta de recrutamento mais utilizada pelos colaboradores?\n", + "* Qual área da empresa utilizou essa ferramenta de recrutamento com mais frequência?\n", + "\n", + "#### Permanência e Satisfação dos Colaboradores:\n", + "* Quantos colaboradores que utilizaram essa ferramenta ainda estão atualmente trabalhando na empresa?\n", + "* Qual é o nível de satisfação dos colaboradores que ainda trabalham na empresa?\n", + "* Qual é a média do tempo que esses colaboradores estão na empresa?\n", + "\n", + "#### Desempenho e Engajamento:\n", + "* Qual é a performance dos colaboradores? Quais são as maiores e menores notas entre os 5 primeiros e os 5 com notas mais baixas?\n", + "* Como está o nível de engajamento desses colaboradores?\n", + "\n", + "#### Top 5 Colaboradores:\n", + "* Quais são os 5 colaboradores mais engajados na empresa? Quantos anos de experiência eles têm na empresa e qual é a sua performance?\n", + "\n", + "#### Performance e Projetos Especiais:\n", + "* Quais são os 5 colaboradores com a maior pontuação em performance? Quantos projetos especiais esses colaboradores participaram?\n" + ] + }, + { + "cell_type": "code", + "execution_count": 578, + "metadata": {}, + "outputs": [], + "source": [ + "df_recrutamento = df_rh.groupby('Fonte_Recrutamento')\n", + "contagem_recrutamento= df_recrutamento['ID_Funcionário'].count()" + ] + }, + { + "cell_type": "code", + "execution_count": 314, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Conte o número de ocorrências em cada grupo\n", + "contagem_recrutamento = df_rh.groupby('Fonte_Recrutamento')['ID_Funcionário'].count()\n", + "\n", + "# Defina um estilo de plotagem, se desejar\n", + "plt.style.use('dark_background')\n", + "\n", + "# Crie um gráfico de barras para exibir as contagens de recrutamento\n", + "ax = contagem_recrutamento.plot(kind='bar', color =['blueviolet'], edgecolor= 'aliceblue', alpha=0.7)\n", + "\n", + "# Configure rótulos e título\n", + "plt.title(\"Número de Contratações por Fonte de Recrutamento\")\n", + "plt.xlabel(\"Fonte de Recrutamento\")\n", + "plt.ylabel(\"Número de Contratações\")\n", + "\n", + "# Adicione os valores no topo de cada barra\n", + "for i, v in enumerate(contagem_recrutamento):\n", + " ax.text(i, v, str(v), ha='center', va='bottom')\n", + " \n", + "# Adicionar uma borda colorida ao redor do gráfico (por exemplo, cor preta)\n", + "ax.patch.set_edgecolor('aliceblue')\n", + "ax.patch.set_linewidth(1)\n", + " \n", + "# Configuração de cores dos rótulos nos eixos x e y\n", + "plt.tick_params(axis='x', colors='aliceblue')\n", + "plt.tick_params(axis='y', colors='aliceblue')\n", + " \n", + "# Exiba o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 316, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Conte o número de ocorrências em cada grupo\n", + "contagem_area_recrutamento = df_rh.groupby(['Departamento', 'Fonte_Recrutamento'])['ID_Departamento'].count().unstack()\n", + "\n", + "# Crie uma figura maior\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Crie um gráfico de barras empilhadas para exibir as contagens de recrutamento por departamento\n", + "ax = contagem_area_recrutamento.plot(kind='bar', stacked=True, colormap='viridis', alpha=0.7)\n", + "\n", + "# Configure rótulos e título\n", + "plt.title(\"Número de Pessoas por Departamento e Fonte de Recrutamento\")\n", + "plt.xlabel(\"Departamento\")\n", + "plt.ylabel(\"Número de Pessoas\")\n", + "\n", + "# Adicione a legenda à esquerda do gráfico\n", + "plt.legend(title=\"Fonte de Recrutamento\", loc=\"upper left\")\n", + "\n", + "\n", + "# Ajuste o tamanho da legenda para ficar menor\n", + "leg = ax.legend()\n", + "leg.set_bbox_to_anchor((1, 1)) # Ajusta a posição da legenda\n", + "\n", + "# Exiba o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calcule o número de ocorrências em cada grupo com base nas colunas 'Departamento' e 'Fonte_Recrutamento' do DataFrame df_rh e desagrupe os resultados. Armazene esses valores em contagem_area_recrutamento.\n", + "Crie uma figura maior com o comando plt.figure(figsize=(12, 6)), onde (12, 6) define o tamanho da figura (largura x altura).\n", + "Crie um gráfico de barras empilhadas (stacked bar chart) usando os valores de contagem_area_recrutamento. O kind='bar' especifica o tipo de gráfico, stacked=True empilha as barras e colormap='viridis' define a paleta de cores.\n", + "Defina um título para o gráfico com plt.title especificando o título desejado.\n", + "Defina rótulos para os eixos x e y com plt.xlabel e plt.ylabel.\n", + "Adicione uma legenda à esquerda do gráfico usando plt.legend. O parâmetro loc=\"upper left\" define a posição da legenda no canto superior esquerdo.\n", + "Ajuste o tamanho da legenda para que fique menor e se encaixe na posição definida com leg = ax.legend() e leg.set_bbox_to_anchor((1, 1)).\n", + "Finalmente, exiba o gráfico com plt.show()." + ] + }, + { + "cell_type": "code", + "execution_count": 311, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Média de Satisfação dos Funcionários Ativos: 3.89\n" + ] + } + ], + "source": [ + "# Filtrar o DataFrame para selecionar apenas funcionários ativos\n", + "funcionarios_ativos = df_rh[df_rh['Status_Emprego'] == 'Ativo']\n", + "\n", + "# Defina o tamanho da figura\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "\n", + "# Crie um gráfico de distribuição (histograma) usando Seaborn\n", + "sns.histplot(funcionarios_ativos['Satisfação_Funcionário'], kde=True, color= 'lightblue', alpha=0.7)\n", + "\n", + "# Configure rótulos e título\n", + "plt.title(\"Distribuição do Nível de Satisfação dos Funcionários Ativos\")\n", + "plt.xlabel(\"Nível de Satisfação\")\n", + "plt.ylabel(\"Contagem de Funcionários\")\n", + "\n", + "# Calcula a média da satisfação dos funcionários ativos\n", + "media_satisfacao = funcionarios_ativos['Satisfação_Funcionário'].mean()\n", + "\n", + "# Adiciona a média ao gráfico\n", + "plt.axvline(media_satisfacao, color='darkred', linestyle='dashed', linewidth=2, label=f'Média de Satisfação: {media_satisfacao:.2f}')\n", + "\n", + "# Adiciona uma legenda ao gráfico\n", + "plt.legend(loc='upper left')\n", + "\n", + "# Configuração de cores dos rótulos nos eixos x e y\n", + "plt.tick_params(axis='x', colors='aliceblue')\n", + "plt.tick_params(axis='y', colors='aliceblue')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "#Exiba a média\n", + "print(f\"Média de Satisfação dos Funcionários Ativos: {media_satisfacao:.2f}\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "O código acima tem o objetivo de analisar a distribuição do nível de satisfação dos funcionários ativos de uma empresa e calcular a média desse nível de satisfação. Além disso, ele utiliza a biblioteca Seaborn para criar um gráfico de distribuição (histograma) com algumas vantagens específicas:\n", + "\n", + "Filtragem de Funcionários Ativos: Primeiramente, o código filtra o DataFrame original para selecionar apenas os funcionários ativos com base na coluna \"Status_Emprego\". Isso permite focar na análise da satisfação dos funcionários que ainda estão na empresa.\n", + "\n", + "Visualização da Distribuição: O código utiliza o Seaborn para criar um gráfico de distribuição (histograma) dos níveis de satisfação dos funcionários ativos. Esse tipo de gráfico permite visualizar como os níveis de satisfação estão distribuídos e se há concentrações em áreas específicas. A curva suave (KDE) representa a estimativa da densidade da distribuição.\n", + "\n", + "Cálculo da Média: Após criar o gráfico de distribuição, o código calcula a média dos níveis de satisfação dos funcionários ativos com a função mean() do Pandas. Isso fornece uma medida resumida do nível médio de satisfação nesse grupo.\n", + "\n", + "Marcação da Média no Gráfico: Para facilitar a interpretação, o código adiciona uma linha vertical pontilhada vermelha no gráfico, representando a média calculada. Isso permite visualizar a posição da média no contexto da distribuição.\n", + "\n", + "Rótulos e Título: O código configura rótulos para os eixos x e y, bem como um título para o gráfico, fornecendo informações sobre o que está sendo representado.\n", + "\n", + "Legenda: Uma legenda é adicionada ao gráfico para indicar a média com a cor vermelha.\n", + "\n", + "Exibição do Gráfico: Por fim, o gráfico é exibido com plt.show().\n", + "\n", + "O Seaborn é usado nesse momento porque é uma biblioteca Python poderosa e de fácil uso para criação de gráficos estatísticos. Ele oferece recursos para plotagem de dados de maneira eficiente e com visualizações atraentes. No caso do gráfico de distribuição de satisfação, o Seaborn é particularmente útil devido à facilidade de criação de histogramas e curvas de densidade (KDE) que ajudam a entender a distribuição dos dados e destacar estatísticas importantes, como a média. A combinação do Seaborn com o Pandas facilita a análise de dados e a visualização de resultados." + ] + }, + { + "cell_type": "code", + "execution_count": 622, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Média do tempo que os funcionários passaram na empresa: 2992.88 dias ou 8 anos\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "from datetime import datetime\n", + "\n", + "# Preencher valores vazios na coluna de desligamento com a data atual\n", + "data_atual = datetime.now()\n", + "df_recrutamento = df_rh.copy() # Crie um novo DataFrame para df_recrutamento\n", + "df_recrutamento['Data_de_Desligamento'] = pd.to_datetime(df_recrutamento['Data_de_Desligamento'], errors='coerce').fillna(data_atual)\n", + "\n", + "df_recrutamento['Data_de_Admissão'] = pd.to_datetime(df_recrutamento['Data_de_Admissão'], errors='coerce')\n", + "df_recrutamento['Tempo_na_Empresa'] = (df_recrutamento['Data_de_Desligamento'] - df_recrutamento['Data_de_Admissão']).dt.days\n", + "\n", + "\n", + "# Passo 4: Calcular a média do tempo de permanência na empresa\n", + "media_tempo_na_empresa = df_recrutamento['Tempo_na_Empresa'].mean()\n", + "\n", + "# Imprimir a média\n", + "print(f'Média do tempo que os funcionários passaram na empresa: {media_tempo_na_empresa:.2f} dias ou {(media_tempo_na_empresa/365):.0f} anos')\n", + "\n", + "# Filtrar funcionários que já foram embora\n", + "funcionarios_desligados = df_rh[df_rh['Status_Emprego'] != 'Ativo']\n", + "\n", + "# Filtrar funcionários que ainda estão na empresa\n", + "funcionarios_ativos = df_rh[df_rh['Status_Emprego'] == 'Ativo']\n", + "\n", + "# Calcular o tempo médio dos funcionários desligados e ativos\n", + "media_tempo_desligados = funcionarios_desligados['Tempo_na_Empresa'].mean()\n", + "media_tempo_ativos = funcionarios_ativos['Tempo_na_Empresa'].mean()\n", + "\n", + "# Preparar os dados para o gráfico\n", + "categorias = ['Funcionários Desligados', 'Funcionários Ativos']\n", + "tempos_medios = [media_tempo_desligados, media_tempo_ativos]\n", + "\n", + "# Criar o gráfico de barras\n", + "plt.figure(figsize=(8, 5))\n", + "plt.bar(categorias, tempos_medios, color=['plum', 'lightblue'])\n", + "\n", + "# Adicionar rótulos e título\n", + "plt.title(\"Tempo Médio de Permanência na Empresa\")\n", + "plt.ylabel(\"Tempo Médio (dias)\")\n", + "\n", + "# Adicionar os valores nas barras\n", + "for i, v in enumerate(tempos_medios):\n", + " plt.text(i, v, f\"{(v):.0f} dias ou {(v/365):.0f} Anos\", ha='center', va='bottom')\n", + "\n", + "# Exibir o gráfico\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 617, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Nome_do_FuncionárioID_FuncionárioCasadoID_Estado_CivilID_GêneroID_Status_FuncionárioID_DepartamentoID_Pontuação_PerformanceID_Feira_DiversidadeSalário...Nome_GerenteID_GerenteFonte_RecrutamentoPontuação_PerformancePesquisa_EngajamentoSatisfação_FuncionárioContagem_Projetos_EspeciaisData_Última_AvaliaçãoDias_Atraso_30_DiasFaltas
0Adinolfi, Wilson K10026001154062506...Michael Albert22.0LinkedInSupera4.605017/01/201901
1Ait Sidi, Karthikeyan100841115330104437...Simon Roup4.0IndeedAtende Plenamente4.963624/02/2016017
2Akinkuolie, Sarah10196110553064955...Kissy Sullivan20.0LinkedInAtende Plenamente3.023015/05/201203
\n", + "

3 rows × 36 columns

\n", + "
" + ], + "text/plain": [ + " Nome_do_Funcionário ID_Funcionário Casado ID_Estado_Civil \\\n", + "0 Adinolfi, Wilson K 10026 0 0 \n", + "1 Ait Sidi, Karthikeyan 10084 1 1 \n", + "2 Akinkuolie, Sarah 10196 1 1 \n", + "\n", + " ID_Gênero ID_Status_Funcionário ID_Departamento \\\n", + "0 1 1 5 \n", + "1 1 5 3 \n", + "2 0 5 5 \n", + "\n", + " ID_Pontuação_Performance ID_Feira_Diversidade Salário ... \\\n", + "0 4 0 62506 ... \n", + "1 3 0 104437 ... \n", + "2 3 0 64955 ... \n", + "\n", + " Nome_Gerente ID_Gerente Fonte_Recrutamento Pontuação_Performance \\\n", + "0 Michael Albert 22.0 LinkedIn Supera \n", + "1 Simon Roup 4.0 Indeed Atende Plenamente \n", + "2 Kissy Sullivan 20.0 LinkedIn Atende Plenamente \n", + "\n", + " Pesquisa_Engajamento Satisfação_Funcionário Contagem_Projetos_Especiais \\\n", + "0 4.60 5 0 \n", + "1 4.96 3 6 \n", + "2 3.02 3 0 \n", + "\n", + " Data_Última_Avaliação Dias_Atraso_30_Dias Faltas \n", + "0 17/01/2019 0 1 \n", + "1 24/02/2016 0 17 \n", + "2 15/05/2012 0 3 \n", + "\n", + "[3 rows x 36 columns]" + ] + }, + "execution_count": 617, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_rh.iloc[:3, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 390, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "10 Melhores Desempenhos: \n", + "\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Nome_do_FuncionárioPontuação_PerformanceData_de_Admissão
16Beak, KimberlySupera2016-07-21
51Clukey, ElijianSupera2016-07-06
36Candie, CalvinSupera2016-01-28
12Barbossa, HectorSupera2014-11-10
220Petrowsky, ThelmaSupera2014-11-10
106Girifalco, EvelynSupera2014-09-29
257Smith, JoeSupera2014-09-29
22Billis, HelenSupera2014-07-07
145Johnston, YenSupera2014-07-07
274Szabo, AndrewSupera2014-07-07
\n", + "
" + ], + "text/plain": [ + " Nome_do_Funcionário Pontuação_Performance Data_de_Admissão\n", + "16 Beak, Kimberly Supera 2016-07-21\n", + "51 Clukey, Elijian Supera 2016-07-06\n", + "36 Candie, Calvin Supera 2016-01-28\n", + "12 Barbossa, Hector Supera 2014-11-10\n", + "220 Petrowsky, Thelma Supera 2014-11-10\n", + "106 Girifalco, Evelyn Supera 2014-09-29\n", + "257 Smith, Joe Supera 2014-09-29\n", + "22 Billis, Helen Supera 2014-07-07\n", + "145 Johnston, Yen Supera 2014-07-07\n", + "274 Szabo, Andrew Supera 2014-07-07" + ] + }, + "execution_count": 390, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Mapear as categorias de Pontuação_Performance para valores numéricos\n", + "pontuacao_mapping = {\n", + " 'Supera': 4,\n", + " 'Atende Plenamente': 3,\n", + " 'Necessita de Melhoria': 2,\n", + " 'Plano de Melhoria de Desempenho': 1\n", + "}\n", + "\n", + "# Aplicar o mapeamento ao DataFrame\n", + "df_rh['Pontuação_Numérica'] = df_rh['Pontuação_Performance'].map(pontuacao_mapping)\n", + "\n", + "# Classificar o DataFrame pelo desempenho em ordem decrescente\n", + "df_rh_sorted = df_rh.sort_values(by=['Pontuação_Numérica', 'Data_de_Admissão'], ascending=[False, False])\n", + "\n", + "# Selecione as 10 melhores (maior pontuação, data de admissão mais recente)\n", + "top_10 = df_rh_sorted.head(10)\n", + "\n", + "# Selecione as 10 piores (menor pontuação, data de admissão mais antiga)\n", + "bottom_10 = df_rh_sorted.tail(10)\n", + "\n", + "# Crie uma tabela para os 10 melhores e outra para os 10 piores\n", + "df_tabela_top_10 = top_10[['Nome_do_Funcionário', 'Pontuação_Performance', 'Data_de_Admissão']]\n", + "df_tabela_bottom_10 = bottom_10[['Nome_do_Funcionário', 'Pontuação_Performance', 'Data_de_Admissão']]\n", + "\n", + "df_tabela_top_10.reset_index(drop=True)\n", + "df_tabela_bottom_10.reset_index(drop=True)\n", + "\n", + "# Exiba as tabelas\n", + "print(\"10 Melhores Desempenhos: \\n\")\n", + "df_tabela_top_10.head(10)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 391, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "10 Piores Desempenhos:\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Nome_do_FuncionárioPontuação_PerformanceData_de_Admissão
95Forrest, AlexPlano de Melhoria de Desempenho2014-09-29
69Desimone, CarlPlano de Melhoria de Desempenho2014-07-07
83Erilus, AngelaPlano de Melhoria de Desempenho2014-07-07
267Stansfield, NormanPlano de Melhoria de Desempenho2014-05-12
205O'hare, LynnPlano de Melhoria de Desempenho2014-03-31
72Dietrich, JennaPlano de Melhoria de Desempenho2012-02-20
263Sparks, TaylorPlano de Melhoria de Desempenho2012-02-20
188Miller, NedPlano de Melhoria de Desempenho2011-08-15
112Gonzalez, JuanPlano de Melhoria de Desempenho2010-04-26
307Ybarra, CatherinePlano de Melhoria de Desempenho2008-09-02
\n", + "
" + ], + "text/plain": [ + " Nome_do_Funcionário Pontuação_Performance Data_de_Admissão\n", + "95 Forrest, Alex Plano de Melhoria de Desempenho 2014-09-29\n", + "69 Desimone, Carl Plano de Melhoria de Desempenho 2014-07-07\n", + "83 Erilus, Angela Plano de Melhoria de Desempenho 2014-07-07\n", + "267 Stansfield, Norman Plano de Melhoria de Desempenho 2014-05-12\n", + "205 O'hare, Lynn Plano de Melhoria de Desempenho 2014-03-31\n", + "72 Dietrich, Jenna Plano de Melhoria de Desempenho 2012-02-20\n", + "263 Sparks, Taylor Plano de Melhoria de Desempenho 2012-02-20\n", + "188 Miller, Ned Plano de Melhoria de Desempenho 2011-08-15\n", + "112 Gonzalez, Juan Plano de Melhoria de Desempenho 2010-04-26\n", + "307 Ybarra, Catherine Plano de Melhoria de Desempenho 2008-09-02" + ] + }, + "execution_count": 391, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "print(\"\\n10 Piores Desempenhos:\")\n", + "df_tabela_bottom_10.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 392, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Classificar o DataFrame pelo desempenho em ordem decrescente\n", + "df_rh_sorted = df_rh.sort_values(by='Pontuação_Performance', ascending=False)\n", + "\n", + "# Contar quantos funcionários têm o mesmo desempenho\n", + "contagem_desempenho = df_rh_sorted['Pontuação_Performance'].value_counts()\n", + "\n", + "# Defina as cores correspondentes a cada categoria\n", + "colors = {\n", + " 'Supera': 'darkcyan',\n", + " 'Atende Plenamente': 'orchid',\n", + " 'Necessita de Melhoria': 'rebeccapurple',\n", + " 'Plano de Melhoria de Desempenho': 'lightblue'\n", + "}\n", + "\n", + "# Crie um gráfico de barras para visualizar a contagem de desempenho\n", + "plt.figure(figsize=(10, 6))\n", + "plt.bar(contagem_desempenho.index, contagem_desempenho.values, color=[colors[p] for p in contagem_desempenho.index])\n", + "\n", + "# Adicione rótulos e título\n", + "plt.xlabel('Desempenho (Pontuação)')\n", + "plt.ylabel('Número de Funcionários')\n", + "plt.title('Número de Funcionários por Desempenho')\n", + "\n", + "# Adicionar os valores nas barras\n", + "for i, v in enumerate(contagem_desempenho):\n", + " plt.text(i, v, f\"{v:.0f}\", ha='center', va='bottom')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 432, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calcular o tempo de permanência na empresa para cada funcionário em anos\n", + "today = datetime.now()\n", + "df_rh['Data_de_Desligamento'].fillna(today, inplace=True)\n", + "df_rh['Tempo_na_Empresa'] = (df_rh['Data_de_Desligamento'] - df_rh['Data_de_Admissão']).dt.days / 365 # Converter dias em anos\n", + "\n", + "# Classifique o DataFrame pelo engajamento em ordem decrescente\n", + "df_rh_sorted = df_rh.sort_values(by='Pesquisa_Engajamento', ascending=False)\n", + "\n", + "# Selecione os 5 funcionários mais engajados\n", + "top_5_engajados = df_rh_sorted.head(5)\n", + "\n", + "# Crie uma figura para o gráfico\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# Defina cores personalizadas\n", + "colors = ['orchid', 'darkcyan', 'rebeccapurple']\n", + "\n", + "# Crie um gráfico de barras empilhadas com cores personalizadas e bordas brancas\n", + "#bars = plt.bar(top_5_engajados['Nome_do_Funcionário'], top_5_engajados['Pesquisa_Engajamento'], color=colors[0], label='Engajamento', edgecolor='white')\n", + "plt.bar(top_5_engajados['Nome_do_Funcionário'], top_5_engajados['Tempo_na_Empresa'], bottom=top_5_engajados['Pesquisa_Engajamento'], color=colors[1], label='Tempo na Empresa (anos)', edgecolor='white')\n", + "plt.bar(top_5_engajados['Nome_do_Funcionário'], top_5_engajados['Pontuação_Performance'], bottom=top_5_engajados['Tempo_na_Empresa'] + top_5_engajados['Pesquisa_Engajamento'], color=colors[2], label='Performance', edgecolor='white')\n", + "\n", + "# Adicione rótulos e título\n", + "plt.xlabel('Nome do Funcionário')\n", + "plt.ylabel('Valores')\n", + "plt.title('Top 5 Funcionários Mais Engajados')\n", + "\n", + "# Adicione a legenda\n", + "plt.legend()\n", + "\n", + "# Rode os rótulos para melhor visualização\n", + "plt.xticks(rotation=45, ha='right')\n", + "\n", + "# Adicione os valores no topo das barras\n", + "for bar in bars:\n", + " height = bar.get_height()\n", + " plt.annotate(f'{height:.2f}', xy=(bar.get_x() + bar.get_width() / 2, height), xytext=(0, 3), textcoords='offset points', ha='center', va='bottom')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 494, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Classifique o DataFrame pelo engajamento em ordem decrescente\n", + "df_rh_sorted = df_rh.sort_values(by='Pontuação_Performance', ascending=False)\n", + "\n", + "# Selecione os 10 funcionários com maior pontuação de performance\n", + "top_10_performance = df_rh_sorted.head(10)\n", + "\n", + "# Crie uma figura para o gráfico\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# Defina cores personalizadas\n", + "colors = ['orchid', 'darkcyan', 'rebeccapurple']\n", + "\n", + "# Crie um gráfico de linhas empilhadas\n", + "index = np.arange(len(top_10_performance))\n", + "plt.plot(index, top_10_performance['Tempo_na_Empresa'], color=colors[1], label='Tempo na Empresa (anos)', marker='o')\n", + "#plt.plot(index, top_10_performance['Contagem_Projetos_Especiais'], color=colors[2], label='Projetos Especiais', marker='o')\n", + "\n", + "# Adicione rótulos e título\n", + "plt.xlabel('Nome do Funcionário')\n", + "plt.ylabel('Valores')\n", + "plt.title('Top 10 Funcionários com Maior Pontuação de Performance')\n", + "\n", + "# Adicione a legenda\n", + "plt.legend()\n", + "\n", + "# Personalize os rótulos do eixo X com os nomes dos funcionários\n", + "plt.xticks(index, top_10_performance['Nome_do_Funcionário'], rotation=45, ha='right')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Classifique o DataFrame pelo engajamento em ordem decrescente\n", + "df_rh_sorted = df_rh.sort_values(by='Contagem_Projetos_Especiais', ascending=False)\n", + "\n", + "# Selecione os 10 funcionários com maior pontuação de performance\n", + "top_10_performance = df_rh_sorted.head(20)\n", + "\n", + "# Crie uma figura para o gráfico\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# Defina cores personalizadas\n", + "colors = ['orchid', 'darkcyan', 'rebeccapurple']\n", + "\n", + "# Crie um gráfico de linhas empilhadas\n", + "index = np.arange(len(top_10_performance))\n", + "#plt.plot(index, top_10_performance['Tempo_na_Empresa'], color=colors[1], label='Tempo na Empresa (anos)', marker='o')\n", + "plt.plot(index, top_10_performance['Contagem_Projetos_Especiais'], color=colors[2], label='Projetos Especiais', marker='o')\n", + "\n", + "# Adicione rótulos e título\n", + "plt.xlabel('Nome do Funcionário')\n", + "plt.ylabel('Valores')\n", + "plt.title('Top 10 Funcionários com Maior Pontuação de Performance')\n", + "\n", + "# Adicione a legenda\n", + "plt.legend()\n", + "\n", + "# Personalize os rótulos do eixo X com os nomes dos funcionários\n", + "plt.xticks(index, top_10_performance['Nome_do_Funcionário'], rotation=45, ha='right')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 421, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RaçaData_de_AdmissãoData_de_DesligamentoMotivo_DesligamentoStatus_EmpregoDepartamentoNome_GerenteID_GerenteFonte_RecrutamentoPontuação_PerformancePesquisa_EngajamentoSatisfação_FuncionárioContagem_Projetos_EspeciaisData_Última_AvaliaçãoDias_Atraso_30_DiasFaltasTempo_na_EmpresaPontuação_Numérica
0Branco2011-07-052023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoProduçãoMichael Albert22.0LinkedInSupera4.605017/01/20190144994
1Branco2015-03-302016-06-16 00:00:00.000000Mudança de carreiraDemissão VoluntáriaTecnologia da Informação/SistemasSimon Roup4.0IndeedAtende Plenamente4.963624/02/20160174443
2Branco2011-07-052012-09-24 00:00:00.000000Horas de trabalhoDemissão VoluntáriaProduçãoKissy Sullivan20.0LinkedInAtende Plenamente3.023015/05/2012034473
3Branco2008-01-072023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoProduçãoElijiah Gray16.0IndeedAtende Plenamente4.845003/01/201901557743
4Branco2011-07-112016-09-06 00:00:00.000000Retorno à escolaDemissão VoluntáriaProduçãoWebster Butler39.0Pesquisa no GoogleAtende Plenamente5.004001/02/20160218843
.........................................................
306Branco2014-07-072023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoProduçãoKissy Sullivan20.0LinkedInAtende Plenamente4.074028/02/201901334013
307Asiático2008-09-022015-09-29 00:00:00.000000Outra posiçãoDemissão VoluntáriaProduçãoBrannon Miller12.0Pesquisa no GooglePlano de Melhoria de Desempenho3.202002/09/20155425831
308Branco2010-04-102023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoTecnologia da Informação/SistemasJanet King2.0Indicação de FuncionárioSupera4.605621/02/201901649504
309Branco2015-03-302023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoTecnologia da Informação/SistemasSimon Roup4.0Indicação de FuncionárioAtende Plenamente5.003501/02/201901131353
310Asiático2014-09-292023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoProduçãoDavid Stanley14.0LinkedInAtende Plenamente4.505030/01/20190233173
\n", + "

311 rows × 18 columns

\n", + "
" + ], + "text/plain": [ + " Raça Data_de_Admissão Data_de_Desligamento \\\n", + "0 Branco 2011-07-05 2023-10-29 19:47:18.640976 \n", + "1 Branco 2015-03-30 2016-06-16 00:00:00.000000 \n", + "2 Branco 2011-07-05 2012-09-24 00:00:00.000000 \n", + "3 Branco 2008-01-07 2023-10-29 19:47:18.640976 \n", + "4 Branco 2011-07-11 2016-09-06 00:00:00.000000 \n", + ".. ... ... ... \n", + "306 Branco 2014-07-07 2023-10-29 19:47:18.640976 \n", + "307 Asiático 2008-09-02 2015-09-29 00:00:00.000000 \n", + "308 Branco 2010-04-10 2023-10-29 19:47:18.640976 \n", + "309 Branco 2015-03-30 2023-10-29 19:47:18.640976 \n", + "310 Asiático 2014-09-29 2023-10-29 19:47:18.640976 \n", + "\n", + " Motivo_Desligamento Status_Emprego \\\n", + "0 Não se aplica - Ainda empregado Ativo \n", + "1 Mudança de carreira Demissão Voluntária \n", + "2 Horas de trabalho Demissão Voluntária \n", + "3 Não se aplica - Ainda empregado Ativo \n", + "4 Retorno à escola Demissão Voluntária \n", + ".. ... ... \n", + "306 Não se aplica - Ainda empregado Ativo \n", + "307 Outra posição Demissão Voluntária \n", + "308 Não se aplica - Ainda empregado Ativo \n", + "309 Não se aplica - Ainda empregado Ativo \n", + "310 Não se aplica - Ainda empregado Ativo \n", + "\n", + " Departamento Nome_Gerente ID_Gerente \\\n", + "0 Produção Michael Albert 22.0 \n", + "1 Tecnologia da Informação/Sistemas Simon Roup 4.0 \n", + "2 Produção Kissy Sullivan 20.0 \n", + "3 Produção Elijiah Gray 16.0 \n", + "4 Produção Webster Butler 39.0 \n", + ".. ... ... ... \n", + "306 Produção Kissy Sullivan 20.0 \n", + "307 Produção Brannon Miller 12.0 \n", + "308 Tecnologia da Informação/Sistemas Janet King 2.0 \n", + "309 Tecnologia da Informação/Sistemas Simon Roup 4.0 \n", + "310 Produção David Stanley 14.0 \n", + "\n", + " Fonte_Recrutamento Pontuação_Performance \\\n", + "0 LinkedIn Supera \n", + "1 Indeed Atende Plenamente \n", + "2 LinkedIn Atende Plenamente \n", + "3 Indeed Atende Plenamente \n", + "4 Pesquisa no Google Atende Plenamente \n", + ".. ... ... \n", + "306 LinkedIn Atende Plenamente \n", + "307 Pesquisa no Google Plano de Melhoria de Desempenho \n", + "308 Indicação de Funcionário Supera \n", + "309 Indicação de Funcionário Atende Plenamente \n", + "310 LinkedIn Atende Plenamente \n", + "\n", + " Pesquisa_Engajamento Satisfação_Funcionário \\\n", + "0 4.60 5 \n", + "1 4.96 3 \n", + "2 3.02 3 \n", + "3 4.84 5 \n", + "4 5.00 4 \n", + ".. ... ... \n", + "306 4.07 4 \n", + "307 3.20 2 \n", + "308 4.60 5 \n", + "309 5.00 3 \n", + "310 4.50 5 \n", + "\n", + " Contagem_Projetos_Especiais Data_Última_Avaliação Dias_Atraso_30_Dias \\\n", + "0 0 17/01/2019 0 \n", + "1 6 24/02/2016 0 \n", + "2 0 15/05/2012 0 \n", + "3 0 03/01/2019 0 \n", + "4 0 01/02/2016 0 \n", + ".. ... ... ... \n", + "306 0 28/02/2019 0 \n", + "307 0 02/09/2015 5 \n", + "308 6 21/02/2019 0 \n", + "309 5 01/02/2019 0 \n", + "310 0 30/01/2019 0 \n", + "\n", + " Faltas Tempo_na_Empresa Pontuação_Numérica \n", + "0 1 4499 4 \n", + "1 17 444 3 \n", + "2 3 447 3 \n", + "3 15 5774 3 \n", + "4 2 1884 3 \n", + ".. ... ... ... \n", + "306 13 3401 3 \n", + "307 4 2583 1 \n", + "308 16 4950 4 \n", + "309 11 3135 3 \n", + "310 2 3317 3 \n", + "\n", + "[311 rows x 18 columns]" + ] + }, + "execution_count": 421, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_rh.iloc[:,20:40]" + ] + }, + { + "cell_type": "code", + "execution_count": 408, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Classifique o DataFrame pelo desempenho em ordem decrescente\n", + "df_rh_sorted = df_rh.sort_values(by='Pontuação_Performance', ascending=False)\n", + "\n", + "# Selecione os 5 funcionários com a maior pontuação em performance\n", + "top_5_performance = df_rh_sorted.head(5)\n", + "\n", + "# Crie uma figura para o gráfico\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# Defina cores personalizadas\n", + "colors = ['orchid', 'darkcyan', 'rebeccapurple']\n", + "\n", + "# Crie um gráfico de barras empilhadas com cores personalizadas e bordas brancas\n", + "bars = plt.bar(top_5_performance['Nome_do_Funcionário'], top_5_performance['Pontuação_Performance'], color=colors[0], label='Performance', edgecolor='white')\n", + "plt.bar(top_5_performance['Nome_do_Funcionário'], top_5_performance['Contagem_Projetos_Especiais'], bottom=top_5_performance['Pontuação_Performance'], color=colors[1], label='Projetos Especiais', edgecolor='white')\n", + "\n", + "# Adicione rótulos e título\n", + "plt.xlabel('Nome do Funcionário')\n", + "plt.ylabel('Valores')\n", + "plt.title('Top 5 Funcionários com Maior Pontuação em Performance')\n", + "\n", + "# Adicione a legenda\n", + "plt.legend()\n", + "\n", + "# Rode os rótulos para melhor visualização\n", + "plt.xticks(rotation=45, ha='right')\n", + "\n", + "# Adicione os valores no topo das barras\n", + "for bar in bars:\n", + " height = bar.get_height()\n", + " plt.annotate(f'{height:.2f}', xy=(bar.get_x() + bar.get_width() / 2, height), xytext=(0, 3), textcoords='offset points', ha='center', va='bottom')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 395, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Nome_do_Funcionário', 'ID_Funcionário', 'Casado', 'ID_Estado_Civil',\n", + " 'ID_Gênero', 'ID_Status_Funcionário', 'ID_Departamento',\n", + " 'ID_Pontuação_Performance', 'ID_Feira_Diversidade', 'Salário',\n", + " 'Desligado', 'ID_Cargo', 'Cargo', 'Estado', 'CEP', 'Data_de_Nascimento',\n", + " 'Gênero', 'Estado_Civil', 'Nacionalidade', 'Hispano_Latino', 'Raça',\n", + " 'Data_de_Admissão', 'Data_de_Desligamento', 'Motivo_Desligamento',\n", + " 'Status_Emprego', 'Departamento', 'Nome_Gerente', 'ID_Gerente',\n", + " 'Fonte_Recrutamento', 'Pontuação_Performance', 'Pesquisa_Engajamento',\n", + " 'Satisfação_Funcionário', 'Contagem_Projetos_Especiais',\n", + " 'Data_Última_Avaliação', 'Dias_Atraso_30_Dias', 'Faltas',\n", + " 'Tempo_na_Empresa', 'Pontuação_Numérica'],\n", + " dtype='object')" + ] + }, + "execution_count": 395, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_rh.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 451, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
RaçaData_de_AdmissãoData_de_DesligamentoMotivo_DesligamentoStatus_EmpregoDepartamentoNome_GerenteID_GerenteFonte_RecrutamentoPontuação_Performance
0Branco2011-07-052023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoProduçãoMichael Albert22.0LinkedInSupera
1Branco2015-03-302016-06-16 00:00:00.000000Mudança de carreiraDemissão VoluntáriaTecnologia da Informação/SistemasSimon Roup4.0IndeedAtende Plenamente
2Branco2011-07-052012-09-24 00:00:00.000000Horas de trabalhoDemissão VoluntáriaProduçãoKissy Sullivan20.0LinkedInAtende Plenamente
3Branco2008-01-072023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoProduçãoElijiah Gray16.0IndeedAtende Plenamente
4Branco2011-07-112016-09-06 00:00:00.000000Retorno à escolaDemissão VoluntáriaProduçãoWebster Butler39.0Pesquisa no GoogleAtende Plenamente
.................................
306Branco2014-07-072023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoProduçãoKissy Sullivan20.0LinkedInAtende Plenamente
307Asiático2008-09-022015-09-29 00:00:00.000000Outra posiçãoDemissão VoluntáriaProduçãoBrannon Miller12.0Pesquisa no GooglePlano de Melhoria de Desempenho
308Branco2010-04-102023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoTecnologia da Informação/SistemasJanet King2.0Indicação de FuncionárioSupera
309Branco2015-03-302023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoTecnologia da Informação/SistemasSimon Roup4.0Indicação de FuncionárioAtende Plenamente
310Asiático2014-09-292023-10-29 19:47:18.640976Não se aplica - Ainda empregadoAtivoProduçãoDavid Stanley14.0LinkedInAtende Plenamente
\n", + "

311 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " Raça Data_de_Admissão Data_de_Desligamento \\\n", + "0 Branco 2011-07-05 2023-10-29 19:47:18.640976 \n", + "1 Branco 2015-03-30 2016-06-16 00:00:00.000000 \n", + "2 Branco 2011-07-05 2012-09-24 00:00:00.000000 \n", + "3 Branco 2008-01-07 2023-10-29 19:47:18.640976 \n", + "4 Branco 2011-07-11 2016-09-06 00:00:00.000000 \n", + ".. ... ... ... \n", + "306 Branco 2014-07-07 2023-10-29 19:47:18.640976 \n", + "307 Asiático 2008-09-02 2015-09-29 00:00:00.000000 \n", + "308 Branco 2010-04-10 2023-10-29 19:47:18.640976 \n", + "309 Branco 2015-03-30 2023-10-29 19:47:18.640976 \n", + "310 Asiático 2014-09-29 2023-10-29 19:47:18.640976 \n", + "\n", + " Motivo_Desligamento Status_Emprego \\\n", + "0 Não se aplica - Ainda empregado Ativo \n", + "1 Mudança de carreira Demissão Voluntária \n", + "2 Horas de trabalho Demissão Voluntária \n", + "3 Não se aplica - Ainda empregado Ativo \n", + "4 Retorno à escola Demissão Voluntária \n", + ".. ... ... \n", + "306 Não se aplica - Ainda empregado Ativo \n", + "307 Outra posição Demissão Voluntária \n", + "308 Não se aplica - Ainda empregado Ativo \n", + "309 Não se aplica - Ainda empregado Ativo \n", + "310 Não se aplica - Ainda empregado Ativo \n", + "\n", + " Departamento Nome_Gerente ID_Gerente \\\n", + "0 Produção Michael Albert 22.0 \n", + "1 Tecnologia da Informação/Sistemas Simon Roup 4.0 \n", + "2 Produção Kissy Sullivan 20.0 \n", + "3 Produção Elijiah Gray 16.0 \n", + "4 Produção Webster Butler 39.0 \n", + ".. ... ... ... \n", + "306 Produção Kissy Sullivan 20.0 \n", + "307 Produção Brannon Miller 12.0 \n", + "308 Tecnologia da Informação/Sistemas Janet King 2.0 \n", + "309 Tecnologia da Informação/Sistemas Simon Roup 4.0 \n", + "310 Produção David Stanley 14.0 \n", + "\n", + " Fonte_Recrutamento Pontuação_Performance \n", + "0 LinkedIn Supera \n", + "1 Indeed Atende Plenamente \n", + "2 LinkedIn Atende Plenamente \n", + "3 Indeed Atende Plenamente \n", + "4 Pesquisa no Google Atende Plenamente \n", + ".. ... ... \n", + "306 LinkedIn Atende Plenamente \n", + "307 Pesquisa no Google Plano de Melhoria de Desempenho \n", + "308 Indicação de Funcionário Supera \n", + "309 Indicação de Funcionário Atende Plenamente \n", + "310 LinkedIn Atende Plenamente \n", + "\n", + "[311 rows x 10 columns]" + ] + }, + "execution_count": 451, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_rh.iloc[:,20:30]" + ] + }, + { + "cell_type": "code", + "execution_count": 470, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Produção', 'Tecnologia da Informação/Sistemas',\n", + " 'Engenharia de Software', 'Escritórios Administrativos', 'Vendas',\n", + " 'Escritório Executivo'], dtype=object)" + ] + }, + "execution_count": 470, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_rh['Departamento'].unique()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## \"Análise de Dados e Insights sobre Recrutamento, Permanência e Desempenho dos Colaboradores\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Número de Funcionários Ativos por Departamento" + ] + }, + { + "cell_type": "code", + "execution_count": 476, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Filtrar o DataFrame para selecionar apenas funcionários ativos\n", + "funcionarios_ativos = df_rh[df_rh['Status_Emprego'] == 'Ativo']\n", + "\n", + "# Contar o número de funcionários ativos por departamento\n", + "departamento_counts = funcionarios_ativos['Departamento'].value_counts()\n", + "\n", + "# Defina uma paleta de cores personalizada para representar os departamentos\n", + "paleta_cores = {\n", + " 'Produção' : 'orchid',\n", + " 'Tecnologia da Informação/Sistemas': 'darkcyan',\n", + " 'Engenharia de Software': 'rebeccapurple',\n", + " 'Escritórios Administrativos': 'gold',\n", + " 'Vendas': 'lightcoral',\n", + " 'Escritório Executivo': 'lightskyblue'\n", + "}\n", + "\n", + "# Mapear as cores com base nos departamentos\n", + "cores_departamentos = [paleta_cores[departamento] for departamento in departamento_counts.index]\n", + "\n", + "# Criar um gráfico de barras com bordas\n", + "plt.figure(figsize=(10, 8)) # Defina o tamanho da figura\n", + "departamento_counts.plot(kind='bar', color=cores_departamentos, alpha=0.7, edgecolor='aliceblue')\n", + "\n", + "# Configure rótulos e título\n", + "plt.title(\"Número de Funcionários Ativos por Departamento\")\n", + "plt.xlabel(\"Departamento\")\n", + "plt.ylabel(\"Número de Funcionários Ativos\")\n", + "\n", + "# Adicione os valores no topo de cada barra\n", + "for i, v in enumerate(departamento_counts):\n", + " plt.text(i, v, str(v), ha='center', va='bottom')\n", + "\n", + "\n", + "# Rode os rótulos para melhor visualização\n", + "plt.xticks(rotation=45, ha='right')\n", + "\n", + "# Configuração de cores dos rótulos nos eixos x e y\n", + "plt.tick_params(axis='x', colors='aliceblue')\n", + "plt.tick_params(axis='y', colors='aliceblue')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Número de Pessoas por Departamento e Fonte de Recrutamento?" + ] + }, + { + "cell_type": "code", + "execution_count": 483, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Ordene os departamentos na ordem desejada\n", + "ordem_departamentos = [\n", + " 'Produção',\n", + " 'Tecnologia da Informação/Sistemas',\n", + " 'Engenharia de Software',\n", + " 'Escritórios Administrativos',\n", + " 'Vendas',\n", + " 'Escritório Executivo'\n", + "]\n", + "\n", + "\n", + "#Conte o número de ocorrências em cada grupo\n", + "contagem_area_recrutamento = contagem_area_recrutamento.reindex(ordem_departamentos)\n", + "\n", + "# Crie uma figura maior\n", + "plt.figure(figsize=(15, 8))\n", + "\n", + "# Crie um gráfico de barras empilhadas para exibir as contagens de recrutamento por departamento\n", + "ax = contagem_area_recrutamento.plot(kind='bar', stacked=True, colormap='viridis', alpha=0.7)\n", + "\n", + "# Configure rótulos e título\n", + "plt.title(\"Número de Pessoas por Departamento e Fonte de Recrutamento\")\n", + "plt.xlabel(\"Departamento\")\n", + "plt.ylabel(\"Número de Pessoas\")\n", + "\n", + "# Adicione a legenda à esquerda do gráfico\n", + "plt.legend(title=\"Fonte de Recrutamento\", loc=\"upper left\")\n", + "\n", + "# Rode os rótulos para melhor visualização\n", + "plt.xticks(rotation=45, ha='right')\n", + "\n", + "# Ajuste o tamanho da legenda para ficar menor\n", + "leg = ax.legend()\n", + "leg.set_bbox_to_anchor((1, 1)) # Ajusta a posição da legenda\n", + "\n", + "# Exiba o gráfico\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Número de Pessoas por Departamento ao Longo dos Anos" + ] + }, + { + "cell_type": "code", + "execution_count": 493, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\stefa\\AppData\\Local\\Temp\\ipykernel_20504\\667523817.py:10: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_funcionarios_ativos['Ano_Admissao'] = df_funcionarios_ativos['Data_de_Admissão'].dt.year\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Filtrar o DataFrame para selecionar apenas funcionários ativos\n", + "df_funcionarios_ativos = df_rh[df_rh['Status_Emprego'] == 'Ativo']\n", + "\n", + "# Extrair o ano de admissão da coluna 'Data_de_Admissão'\n", + "df_funcionarios_ativos['Ano_Admissao'] = df_funcionarios_ativos['Data_de_Admissão'].dt.year\n", + "\n", + "# Contar o número de funcionários ativos por departamento e ano\n", + "contagem_por_ano_departamento = funcionarios_ativos.groupby(['Ano_Admissao', 'Departamento'])['ID_Departamento'].count().unstack().fillna(0)\n", + "\n", + "# Defina uma paleta de cores personalizada\n", + "paleta_cores = {\n", + " 'Produção': 'orchid',\n", + " 'Tecnologia da Informação/Sistemas': 'darkcyan',\n", + " 'Engenharia de Software': 'rebeccapurple',\n", + " 'Escritórios Administrativos': 'gold',\n", + " 'Vendas': 'lightcoral',\n", + " 'Escritório Executivo': 'lightskyblue'\n", + "}\n", + "\n", + "# Crie uma figura maior\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Crie um gráfico de linhas para cada departamento com cores personalizadas\n", + "for departamento, cor in paleta_cores.items():\n", + " plt.plot(contagem_por_ano_departamento.index, contagem_por_ano_departamento[departamento], label=departamento, color=cor, marker='o')\n", + "\n", + "# Configure rótulos e título\n", + "plt.title(\"Número de Pessoas por Departamento ao Longo dos Anos\")\n", + "plt.xlabel(\"Ano de Admissão\")\n", + "plt.ylabel(\"Número de Pessoas Ativas\")\n", + "\n", + "# Adicione a legenda\n", + "plt.legend(title=\"Departamento\")\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Número de Pessoas por Departamento ao Longo dos Anos (Demitidos)" + ] + }, + { + "cell_type": "code", + "execution_count": 533, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\stefa\\AppData\\Local\\Temp\\ipykernel_20504\\4161052190.py:5: UserWarning: Parsing dates in %d/%m/%Y format when dayfirst=False (the default) was specified. Pass `dayfirst=True` or specify a format to silence this warning.\n", + " df_rh['Data_de_Desligamento'] = pd.to_datetime(df_rh['Data_de_Desligamento'])\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABKUAAAJOCAYAAABm7rQwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd1gU19cH8C9VBVGxgY2iIGJDo8SCil2xoagRS+wNG/ZuUKOxN+wVsZckFmwoigU1NhBQUBAp0kHaAktbzvuHL/NjWcBF0bWcz/OcJ87M3Ttn7tzZuNeZO0oACIwxxhhjjDHGGGOMfUXKik6AMcYYY4wxxhhjjP18eFCKMcYYY4wxxhhjjH11PCjFGGOMMcYYY4wxxr46HpRijDHGGGOMMcYYY18dD0oxxhhjjDHGGGOMsa+OB6UYY4wxxhhjjDHG2FfHg1KMMcYYY4wxxhhj7KvjQSnGGGOMMcYYY4wx9tXxoBRjjH1FrVq1wh9//IEqVaooOhXGGGOMMcYYUygelGKMsa9ER0cH58+fR25uLt6/f6/odL4KfX19EBFGjRql6FQYY+y75O7uDnd3d0Wn8d2oXbs2xGIx2rZtq+hU5GJpaQkigqWl5UfLluT/qU5OTggODi6NFGWYmpoiOzsbjRo1+iL1M8Z+LjwoxRhjcho1ahSICGKxGDVr1pTZ7u7uDl9f30I/q6ysjJMnT+LixYtYtWrVl071h0ZEQkgkEkRERMDV1VWuv9CzL8/d3V3q/CQnJ+PVq1c4cuQIunbtquj05FajRg04ODjAzMxM0amUKisrKzg4OCg6jU+S94N8zpw5ik7lp1GxYkWIxWIQERo0aKDodOTyxx9/4NGjR3jw4IGwzsnJSer/HSKRCEFBQTh79ixsbGygpKSkwIxlDR06FPb29opOo0j+/v64fPkyVq5cqehUGGM/AB6UYoyxEipbtiwWLlxYos+YmJjg8uXLsLOz+0JZ/VyuX7+OESNGYNSoUdizZw+aNm2KW7duoWfPnopOjQF49+4dRowYgZEjR2LevHm4ePEi2rZtixs3buDUqVNQVVVVdIofVbNmTSxfvhzNmjVTdCqlqlevXli+fLmi02DficGDB4OIEBUVheHDhys6nY+qWrWq8P+FgjIyMjBixAiMGDECs2bNwokTJ2BsbIx//vkHN2/ehJaWlgIyBu7evYuyZcvi7t27wrphw4Zh5syZMmVDQ0NRtmxZHD169CtmWLg9e/bAxsYGdevWVXQqjLHv3Lf/t0LGGPvGeHl5YcKECVizZg2ioqLk+oy/vz/8/f2/cGafRklJCerq6sjMzFR0KnILCAjA8ePHheVz587B19cXM2fOxLVr1xSY2Y9Pnv6SnJwsdX4AYOHChXB0dMTUqVMREhJS4oHdr0VFRQXKyvxvdowBwIgRI3DlyhWEhoZi2LBhWLZsmaJTKtaIESOQk5MDFxcXmW05OTky30vLli3DggULsHbtWuzfvx+2trZfK1UBEZXo/7/fyv+r3dzckJCQgFGjRn23d18yxr4N/Lcuxhgrob/++gsqKiof/VFd3NwPRCT1lzgHBwcQEYyNjXH06FEkJSUhNjZWuDW+du3aOH/+PJKTkxEVFYXZs2fL1Kmuro7ly5cjMDAQGRkZCAsLw7p166Curi6z7+3bt2PYsGF48eIFMjMzhTuMmjVrhitXriA5ORkikQhubm5o1aqVXO1SsWJFODk5ISkpCYmJiTh8+DAqVapUaFkTExOcPXsW79+/h1gsxpMnT9C3b1+59lOYFy9eIC4uDoaGhiXah6qqKv744w8EBARALBYjPj4e9+7dk3rMTEdHB4cOHcK7d++QkZGByMhInD9/Hvr6+lJ12dnZ4cWLF8jIyEBERAR27NiBihUrSpVp164dzpw5g9DQUOEcbd68GWXLlpUqJ+8+C3JycoJIJIKhoSGuXbuG1NRUREREFPpDUkNDAxs3bkRYWBgyMjLw6tWrQh+LKq6/lERubi5mzJiBly9fYtq0aahQoYLU9uHDh+Pp06dIT0/H+/fvcfLkSdSuXVuqTN4jsr/88gvu37+P9PR0vH37FpMmTZIqp6amhhUrVuDp06dISkpCamoq7t69i44dO0qVy/84mL29Pd68eYPMzExMmTIFT58+BQAcPnxYeOQn71qW9zzmnY86derAxcUFIpEI4eHhmDJlCgCgcePGuHnzJlJTUxESEoKhQ4fKtFvFihWxZcsW4TwFBgZi/vz5Uo8b5T+OCRMm4M2bN8jIyMDjx4/RsmVLqXymTZsGQPox2Dzy9onCyNsmANCpUyfcvXsXqampSExMxPnz50v10bBq1arhwIEDiI6OhlgsxvPnzzFy5EipMvK2WZ5Bgwbh5cuXEIvF8PX1Rf/+/Quds+dz2hCAkEt6ejoePXqEdu3affIxAsCQIUPw9OlTpKSkIDk5GT4+PpgxY4ZcudSpUwft27fHqVOncOrUKdStWxdt2rSRKZd3XZqamuLWrVtIS0tDeHg45s2b99Xz7t+/Px49eoS0tDS5jhEA1q1bB1dXVwwePBjGxsZS23r27Cn01ZSUFFy6dAkNGzaUKvO513nBOaXc3d3Rp08fGBgYCNdoXj8r6u8V1tbW8PX1leqfhZG3f3bt2hX37t1DYmIiRCIRXr16hdWrV0uVycnJwe3bt2Ftbf2RFmaMsY8jDg4ODo6Px6hRo4iIqEWLFnTgwAFKT0+nGjVqCNvd3d3J19dXWNbX1yciolGjRsnURUTk4OAgLDs4OBARkaenJx0/fpwmT55MLi4uREQ0c+ZM8vf3p507d9LkyZPp3r17RETUvn174fNKSkp07do1Sk1Npc2bN9OECRPI0dGRsrKy6Ny5czL7fvnyJcXExNCyZcvIzs6OzMzMqGHDhiQSiSgiIoKWLFlC8+fPp6CgIBKLxfTrr79+tH1u375NOTk5tGPHDpo6dSq5ubnR8+fPZdqgYcOGlJiYSC9evKB58+bRlClT6Pbt2ySRSKh///4f3Q8R0fbt26XWVapUibKzs+nBgwcl2seqVatIIpHQ3r17ady4cTRr1iw6fvw4zZ8/Xyjj4eFBiYmJtHLlSho7diwtXLiQbt68KdX+eefv+vXrNHXqVHJ0dKTs7Gx69OgRqaqqCuW2bdtGly5dooULF9KECRNo//79lJ2dTWfOnJE6Hnn2WVg4OTlReno6vX79mpydnWnKlCl08eJFIiJasWKFVFk3NzeSSCS0b98+mjJlCl24cIGIiDZv3ixXfykqh4LXQcFYsmQJERH16tVLWLd48WKSSCR08uRJmjx5Mi1btoxiY2Pp7du3VLFiRam6w8PDKTo6mhwdHWnatGl09+5dIiIaM2aMUK5KlSoUERFBGzdupEmTJtHcuXPJ39+fMjMzpXLPu0ZfvHhBb968ofnz55O9vT3p6enR0qVLiYhoz549NHz4cBo+fDgZGhqW6DzmnY8XL17Qrl27yM7Ojjw8PIRrIjw8nNatW0dTp04lX19fys7OJgMDA+Hz5cqVo+fPn1NcXBytWrWKJk6cSIcPHyaJREJbtmyROY5nz55RQEAAzZs3j+bOnUuxsbEUFhYm9MHWrVuTq6srEZFwTMOHDy9xnygs5G2TLl26UFZWFr169Yrmzp0rnOv379+Tvr5+sfvIO845c+YUWaZs2bL08uVLyszMpE2bNtG0adPozp07REQ0Y8aMErcZAOrVqxdJJBJ6/vw5zZw5k1asWEHv378nHx8fCg4O/qTrqrAYO3YsERF5eHjQtGnTaPPmzZSQkEBv3rwhd3f3Eh9j165diYjoxo0bZGdnR3Z2duTo6EinT5/+aC4AaP78+ZSSkkJly5YlABQYGEg7duwo9JoPDw+n0NBQ2rJlC02ePJnc3NyIiKhnz55fLW9VVVVKS0ujjRs3FvrdKBKJivzs8OHDiYhoypQpwroRI0aQRCKhK1eu0NSpU2nevHn09u1bSkhIkOqrn3udW1paEhGRpaWlcPyenp4UGxsrXKPW1tZS/Tb//1O7detGOTk55OPjQzNnzqQ///yTEhMTydfX95P6Z8OGDSkjI4MeP35M06dPp4kTJ9L69evp9u3bMu22ePFiysnJIS0tLbn6FAcHB0cRofAEODg4OL6LyD8oZWhoSFlZWbR161Zhe2kMSu3Zs0dYp6ysTGFhYSSRSKQGSSpWrEhpaWnk5OQkrBs+fDjl5OSQhYWF1H4mTpxIRERt2rSR2ndOTg6ZmppKlf33338pIyND+OENgHR1dSk5ObnQv4zmj379+hER0dy5c6Xyz/vBkb8Nbty4Qd7e3qSuri5Vh4eHB71+/fqj54GIaP/+/VSlShWqWrUqmZub040bN4iIaNasWSXah5eXF7m4uBS5r4oVK370R3DVqlUpIyODrl27RkpKSsL6KVOmEBHR6NGjhXV5P+7yx4IFC0gikVCdOnXk3mdR4eTkRERE27Ztk1rv4uJCGRkZVKVKFanztXjxYqlyZ86cIYlEQnXr1v1ofykqPjYoZW1tTURE06dPJwCkp6dH2dnZtGjRIqlyjRo1oqysLKn17u7uUucZAKmpqZGnpydFR0cLAwnKysqkpqYmcy6joqLowIEDMtdoUlISVa1aVap8ixYtirx+5TmP+c/HwoULZa5fiURCv/32m7C+fv36Mt8LS5YsIZFIREZGRlL7+uuvvyg7O5tq164tdRxxcXFUqVIloVzfvn2JiKh3797Cuu3btxMRFXkNy9MnCgt52yTvXGlrawvrmjRpQjk5OXT48OFi9yHPoNSMGTOIiGjYsGHCOlVVVbp//z6lpKRQ+fLlS9xm3t7eFBYWRpqamsK6Dh06EBFJ/ej/nDZUVVWl6Oho8vT0lOq748ePJyKSGpSS9xi3bNlCSUlJpKysLNe1WzC8vb3p6NGjwvKqVasoNjaWVFRUZK55IqIRI0ZIXZeRkZF09uzZr5Z33bp1iYho6tSpMts+NihlZmZGRESbNm0iAKSpqUkJCQm0d+9eqXLVq1enxMREqfWfe50XHJQCPnxnFxxQyt9v838veXp6UkREBFWoUEFYlzew9yn9097enohI+P9FcWFra0tERObm5p/Uxzg4ODgAED++xxhjnyA4OBhHjx7FxIkToaurW2r1HjhwQPhzbm4unj59CmVlZRw8eFBYn5ycjNevX0tNLjp48GD4+/vj1atXqFKlihC3bt0C8OFxmfzu3LkjNceVsrIyunfvjvPnz0s9jhIdHY0TJ06gXbt2xU4C26tXL2RnZ2P37t1S+W/fvl2qnLa2Njp37owzZ85AS0tLKldXV1fUr1+/0DcbFjR+/HjEx8cjLi4Ojx8/hoWFBTZt2oStW7eWaB9JSUlo1KgRjIyMCt2PWCxGZmYmOnbsWOSjiF27dkWZMmWwdetWqUeh9u/fj+TkZPTu3VtYl5GRIfxZQ0MDVapUwYMHD6CsrIzmzZvLvc+P2bFjh8xymTJlhMcSe/XqhZycHDg6OkqV27RpE5SVlWFlZSW1vmB/+RypqakAIPQnGxsbKCsr48yZM1LnKjo6GoGBgTJ9Nzs7G3v37pVZ1tHRQYsWLQB86HvZ2dkAPsyBpa2tDVVVVTx9+hS//PKLTE7//PMP4uPj5T4Gec5jfvmv67zrNy0tDWfOnBHWBwQEIDExUea6znuEJn/buLm5QVVVFR06dJDaz+nTp5GUlCQs37t3DwDkmoi4pH2iIHnaRFdXF82bN8fhw4eRmJgolPf19cWNGzfQq1evj+Ypz3FERUXh5MmTwrq849LS0pJ5S+fH2qxGjRpo2rQpjhw5IvVI2N27d+Hj4yOz709tw5YtW0JHRwd79uwR+i7w4fHR/PmV5BiTkpKgqamJbt26FbnfojRp0gRNmzaV2sfJkydRrVo19OjRQ6a8SCTCsWPHhOXs7Gw8fvxYqu996byrVKkCAFJ9S14Fv5e6desGbW1tnDx5Uurak0gkePTokcz3EvDp1/nnyLumnJ2dkZKSIqx3c3PDy5cvpcrK2z/z+pu1tfVH30qY19ZVq1b93ENhjP3EeFCKMcY+0apVq6CqqlqqEzaHhYVJLScnJ0MsFuP9+/cy67W1tYVlY2NjNG7cGPHx8VIRGBgIAKhevbrU5wvOg1KtWjVoamri9evXMjn5+/tDRUUFderUKTJvfX19REVFyczjUbA+IyMjKCsrY9WqVTK55s2fVTDXwpw/fx5du3ZFly5d8Ouvv6Jq1aqYO3cuiKhE+/jjjz9QqVIlBAYGwsfHB+vXr0eTJk2E/WRlZWHBggWwsrJCTEwM7ty5g3nz5kFHR0fq2As71uzsbLx9+1ZqHqg6derAyckJ79+/R1paGuLj44U3LuXNPyXPPosjkUjw9u1bqXUBAQEAAAMDAyHnyMhI4YdYnryBp4JzVxXsL5+jfPnyAD78iAU+9F1lZWW8efNG5nw1bNhQpj9ERkYiPT1dal3B4wOAkSNHwtvbGxkZGUhISEB8fDz69OkjM8/XpxyfPOcxT95cZfklJycjPDxcpt7CrmsrKyuZdrl58yYA2Wul4PdH3o/L/HUWpaR9oiB52qSoayVvP9WqVYOGhsZHc/3YcQQGBkoNEBd3HB9rs7zyb968kdlXwXWf04Z52/K+s/Pk5OTIXM/yHuOuXbsQEBCAa9eu4d27dzh48GChA0qFGTFiBFJTU/H27VvUq1cP9erVQ0ZGBoKDgwt9C19h/TkxMVGq732NvAF8dCClMIV9LwEf5ncqeP316NFD5tr7nOv8cxTVbwDZ60ze/nn69Gl4eHjg4MGDiImJwcmTJzF48OBC2zVvXcFzyhhjJcFv32OMsU8UHByMY8eOYeLEiVi7dq3M9qL+klbcm70kEolc6wDpv3grKyvDx8en0AnQAeDdu3dSy2KxuMgcvqS8Y9+wYQNcXV0LLVPYj7+CwsPDhR/mn7OPe/fuoV69erC2tkb37t0xfvx4zJo1C5MnTxbuTtu2bRtcXFzQv39/9OjRA3/++ScWLVqEzp074/nz5x/NNX9eN27cQOXKlbFu3Tq8evUKaWlpqFWrFpydnaX6RWnts7SUZn9p3LgxgP+dA2VlZeTm5sLKyqrQvl7wB5Q8hg8fDmdnZ5w7dw4bNmxAbGwsJBIJFi1ahHr16smUL8nxleQ8AkVfv/Je19evX8f69esLLZs3GFeSOr+EkrbJt0RRbfY1xMXFoVmzZujRowesrKxgZWWFsWPHwtnZGaNHjy72s0OHDkX58uULvUOyevXq0NTUlPpHiNJsx0/NO+8fbz5lwKew7yXgw+BcdHS0TPmcnByp5c+5zr81GRkZ6NChAzp16oTevXujZ8+esLW1xc2bN9G9e3fk5uYKZfPauiR3mjLGWEE8KMUYY59h1apVGDFiBBYsWCCzLe+29oKPYH3sjoNPERQUBDMzsyIHaj4mLi4OaWlpMDExkdnWoEEDSCQSmYGt/EJDQ9GlSxeZHyoF68v7F//s7OxPzvVjSrqPvDcFHj58GJqamrh79y6WL18u9cjk27dvsXnzZmzevBlGRkZ4/vw55syZg99//x2hoaEAPhxr/jtu1NTUYGhoCDc3NwAfHocxMTHByJEjcfToUaFc/jf9FTyOovZZHBUVFdStW1fqX87r168PAAgJCQHw4Xx17doV5cuXlxr0yXsDWt4xlTZlZWUMGzYMaWlp8PDwAPCh7yorKyM4OLjQf+0vqGbNmtDQ0JC6W6rg8Q0aNAhBQUGwsbGR+uyKFSvkzrWoQeWSnsfPERQUhPLly5fqtVLUcX1On5C3TfJfKwU1aNAAcXFxMnfBlVRoaCiaNm0KJSUlqWP91L6dV76wR3wLrvucNszbZmxsDHd3d2G9qqoqDA0N4e3tLVVW3mPMzs7GpUuXcOnSJSgpKWHXrl2YPHky/vzzTwQFBRWai6WlJerUqYNly5bJDEppa2tj//796N+/P44fP17k8RR1jF8y77CwMKSnp0u9hVVev//+O3Jzc3Hjxg0AEPYRGxv7xf5fVRx57zzK328KKnidlaR/EhFu3bqFW7duYc6cOVi0aBH++usvdOrUSao9DA0NIZFIZAbIGWOsJL7df7pijLHvwNu3b3Hs2DFMmjRJZm4pkUiEuLg4mXlf8l4TXZrOnDmD2rVrY8KECTLbypYt+9FHYnJzc3H9+nVYW1tLDZpVr14dw4YNg4eHh/BYQ2GuXLkCNTU12NnZCeuUlZUxffp0qXJxcXFwd3cvtL2A0pmXoiT7qFy5stS2tLQ0vHnzBmXKlAEAlCtXTvhznqCgIIhEImG9m5sbMjMzZV5XPm7cOFSqVAmXL18G8L9/MS/4L+T29vZSy/Ls82OmTZsms5yVlSX8mLhy5QpUVVVlys2aNQu5ubm4evWqXPspCWVlZTg6OqJhw4ZwdHQU+tO///6LnJwcODg4FPq5gudITU0NkyZNklmOjY3Fs2fPABTe1r/++muhr7MvSt7gasFBZXnPY2k4c+YM2rZti+7du8tsq1ixIlRUVEpcZ95xFXzM8HP6hLxtEh0dDS8vL4waNUpq/40aNUL37t1x5cqVEh9PQVeuXEGNGjUwZMgQYZ2KigqmT58OkUiEO3fulKi+qKgo+Pr6YuTIkdDU1BTWd+jQAU2bNpXZ96e24dOnTxEbG4vJkydDTU1NWD969GiZO3/kPcaC1w4RCfNgFfddkvfo3oYNG/DPP/9IxYEDBxAQEFDoI3wf86XzzsnJwdOnT9GyZcsS5bVgwQL06NEDp0+fFu6UcnV1RXJyMhYvXgxVVdl/w//ScyilpaUV+qhxQfmvqQoVKgjru3btikaNGkmVlbd/FnanWd4dugXbv0WLFnj58qXUfFaMMVZSfKcUY4x9ptWrV+P3339HgwYN8OLFC6ltBw4cwKJFi7B//348ffoUHTp0EO7qKE1Hjx7Fb7/9hj179qBTp064f/8+VFRU0KBBA/z222/o0aOH8IO9KEuXLkW3bt3g4eGBXbt2IScnB5MmTUKZMmUwf/78Yj/r4uICDw8PrF27FgYGBvDz84ONjU2hf6meOnUqPDw84Ovri/379+Pt27fQ0dFBmzZtULt2bTRr1uxzmqJE+/Dz88Pt27fx7NkzJCQkoGXLlhg0aJAwUXj9+vVx8+ZNnDlzBn5+fsjJycGAAQOgq6uLU6dOAfjw2MKaNWuwfPlyXLt2DRcvXoSJiQmmTJmCx48fC5P/vnr1Cm/evMHGjRtRq1YtpKSkYODAgTI/AOTZZ3HEYjF69uyJw4cP49GjR7CyskKfPn2wevVq4RELFxcX3Lp1C6tXr4aBgQG8vb3RvXt39O/fH1u2bJGZw6akKlasKPxo1dDQgJGREWxsbGBkZISTJ09i2bJlQtm3b99i6dKlQt85f/48RCIRDA0NMWDAAOzbtw+bNm0SykdERGDBggUwMDBAQEAAhgwZgubNm2PChAnCIzWXLl3CwIEDce7cOVy+fBmGhoaYPHky/Pz8hLljPiYoKAiJiYmYPHkyRCIR0tLS8OjRI7nPY2nYsGED+vXrh0uXLuHw4cN49uwZNDU10aRJEwwaNAgGBgYy8819TN73gKOjI1xdXSGRSHD69OnP6hMlaZN58+bh6tWrePjwIQ4ePIhy5cph+vTpSE5OxvLly+U6hi5duqBs2bIy68+fP499+/Zh0qRJOHz4MFq0aIGQkBAMGjQI7dq1g729/Sc9Drp48WJcuHAB9+/fh5OTE7S1tTFt2jT4+vpK9afPacOcnBwsXboU+/btw61bt3D69GkYGhpizJgxMncGyXuMBw4cQOXKlXHr1i2Eh4dDX18f06dPh5eXV5EvLlBXV8fAgQNx48YNZGZmFlrm4sWLsLe3R7Vq1RAXFyd3O37JvPNcuHABq1evhpaWlsw/pKiqqgrfS2XLloW+vj769esHMzMz3Lp1CxMnThTKikQi2NnZ4ejRo/D09MSpU6cQFxcHPT099O7dG/fv35f5R5fS9OzZM9ja2mLTpk148uQJUlNTcenSpULLLlq0CJcvX4aHhwcOHTqEypUrY/r06Xjx4sUn9c8//vgDHTp0wOXLlxEaGorq1atjypQpePfunXCHK/ChPS0tLbFr164v1g6MsZ+Hwl8ByMHBwfE9xKhRo4iIqEWLFjLb8l4J7evrK7W+bNmytH//fkpMTKTk5GQ6deoUVa1aVeaV0A4ODoW+grmo11i7u7vL7EtVVZXmzZtHvr6+JBaL6f379/TkyRNatmwZaWlpCeWIiLZv317oMTZr1oyuXr1KKSkplJqaSjdv3qTWrVvL1T7a2trk7OxMSUlJlJiYSM7OzsJrtvO/vhoAGRoa0uHDhykyMpIyMzPp3bt3dPHiRbKxsfnoforLv6T7WLx4Mf3333+UkJBAaWlp5OfnR4sWLSJVVVUCQJUrV6bt27eTn58fiUQiSkxMpIcPH9KgQYNk9jdlyhTy8/OjzMxMioqKop07d1LFihWlyjRo0ICuX79OKSkpFBsbS3v37qUmTZpItVFJ9llYPxSJRGRoaEjXrl2j1NRUioqKIgcHB1JSUpIqq6mpSZs2baLw8HDKzMyk169f05w5cz65vfP3zfxSUlLo9evXdOTIEeratWuRnxswYADdvXuXRCIRiUQi8vPzo+3bt5OxsbFMv//ll1/o/v37lJ6eTsHBwTRlyhSZ+hYuXEjBwcEkFovp2bNn1KtXL3JycpJ6RXre69ULO24A1LdvX3rx4gVlZWVJnSN5zmNJr18AFBwcTC4uLjLnafXq1RQQEEAZGRkUGxtLHh4eNHv2bKGfFnccBb9rlJWVadu2bRQTE0MSiYTow3NCJeoThYW8bQKAOnfuTPfu3aO0tDRKSkqiCxcuUIMGDT66j7zjLMrw4cMJAFWrVo0OHjxIsbGxlJGRQd7e3jI5lKTNANBvv/1Gfn5+JBaLycfHh/r06UNnz54lPz+/T7quiorJkydTUFAQicVievz4MbVr147c3d3J3d1dqpw8x2hjY0PXrl2j6OhoysjIoJCQENq9ezfp6OgUex0SEY0ZM6bIMh06dCAiounTpxfbnwteb18y7/z1Z2VlCX0hfy75paam0tu3b+ns2bNkY2Mj8/2YF5aWlnT16lVKTEyk9PR0CgwMpEOHDtEvv/xSate5paUlERFZWloK6zQ0NOjYsWOUkJBARCS0Y16/LdhmAwYMoJcvX5JYLKYXL15Q//79C21/efpnp06d6Ny5cxQeHk4ZGRkUHh5Ox48fJyMjI6lyPXr0ICKievXqyd2/OTg4OAoLpf//A2OMMca+c05OThg0aJDwWvMfjbu7O6pWrSr1hkTGFMXLywtxcXGFPl7JFOfAgQOoX7++zKPzrHSdO3cORCQzdx9jjJUUzynFGGOMMcZYEVRVVWXm77K0tESzZs1w+/ZtxSTFirRixQqYm5ujbdu2ik7lh9WgQQP06dNH6lFsxhj7VDynFGOMMcYYY0WoVasW3NzccOzYMURGRqJBgwaYPHkyoqKisGfPHkWnxwp49+4dypUrp+g0fmivXr2SmpCfMcY+Bw9KMcYYY4wxVoTExEQ8e/YM48ePR7Vq1ZCWlobLly9j4cKFSEhIUHR6jDHG2HeN55RijDHGGGOMMcYYY18dzynFGGOMMcYYY4wxxr66H3JQasqUKQgODoZYLMZ///0Hc3NzRafEGGOMMcYYY4wxxvL54QalfvvtN2zevBkrVqzAL7/8Am9vb7i6uqJatWqKTo0xxhhjjDHGGGOM/b8fbk6p//77D0+ePMH06dMBAEpKSnj37h22b9+OdevWyVVHzZo1IRKJvmSajDHGGGOMMcYYYz8sLS0tREZGFlvmh3r7npqaGlq0aIE1a9YI64gIbm5uaNOmjVx11KxZExEREV8qRcYYY4wxxhhjjLGfQq1atYodmPqhBqWqVq0KVVVVxMTESK2PiYlBgwYNCv2Muro6ypQpI7O+Vq1afLcUY4wxxhhjjDHGWAlpaWkhIiLio+MqP9Sg1KdYtGgRli9fLrNeJBLxoBRjjDHGGGOMMcbYF/JDTXQeHx+PnJwc6OjoSK3X0dFBdHR0oZ9Zs2YNKlSoIEStWrW+RqqMMcYYY4wxxhhjP7UfalAqOzsbz549Q5cuXYR1SkpK6NKlCx4+fFjoZ7KysoS7ovjuKMYYY4wxxhhjjLGv44d7fG/z5s1wdnbG06dP8fjxY8ycOROamppwcnJSdGqMMcYYY4wxxhhj7P/9cINSZ86cQbVq1bBy5Uro6uri+fPn6NmzJ2JjYxWdGmOMMcYYYz8FVVVV1KhRA8rKP9SDGYwxxgAQEeLj45Genv7ZdSkBoM9P6cehpaWFlJQUVKhQgR/lY4wxxhhjrISqV6+OVatWoWzZsopOhTHG2Bd0+/ZtODk5gUh2WEnesZUf7k4pxhhjjDHGmGIoKSlh/PjxSE1NxcaNG5GZmanolBhjjJUyVVVVNGjQAL/99hsA4NChQ59eV2klxRhjjDHGGPu5VapUCQ0aNMCuXbsQEBCg6HQYY4x9IUFBQQCAIUOG4NSpU5/8KB8/5M0YY4wxxhgrFVpaWgDA87kyxthP4NWrVwCAqlWrfnIdPCjFGGOMMcYYKxVKSkoAAIlEouBMGGOMfWk5OTkA/vfd/yl4UIoxxhhjjDHGGGOMfXU8KMUYY4wxxhhjTGHy3t5FRMjKykJ0dDSuX7+OMWPGfNYdGKXJ0tISRISKFSsqOhW5jRo1ComJiYpOg7Fi8aAUY4wxxhhjjDGFunr1KnR1dWFgYAArKyu4u7tj27ZtuHTpElRUVBSam6oqvx+MsS+FB6UYY4wxxhhjjClUZmYmYmJiEBkZCS8vL6xZswbW1tbo1asXRo8eDQCoWLEi9u/fj9jYWCQnJ+PmzZto2rSpUIeDgwO8vLwwceJEhIWFIS0tDadPn0aFChWEMi1btsT169cRFxeHpKQk3L59G82bN5fKhYgwefJkXLhwAampqdi/fz9u374NAEhKSgIRwcnJCQDQo0cP3Lt3D4mJiYiPj4eLiwvq1q0r1KWvrw8iwuDBg3H37l2kp6fj8ePHMDY2RsuWLfHkyROIRCJcuXJFZrLocePGwc/PD2KxGP7+/rCzs5Opd8CAAbh16xbS0tLw/PlztG7dGsCHO7sOHz6MSpUqCXehOTg4APjwlkxnZ2ckJCQgLS0NV65cgZGR0WeeQcY+HXH8L7S0tIiISEtLS+G5cHBwcHBwcHBwcHxPoa+vT0eOHCF9fX2F58Lx/YSTkxOdO3eu0G1eXl50+fJlAkDXr1+nCxcuUIsWLcjIyIg2bNhAcXFxpK2tTQDIwcGBRCIRubm5kZmZGbVv354CAgLo2LFjQn2dOnWi4cOHk4mJCTVo0ID2799PUVFRVL58eaEMEVF0dDSNHj2aDA0NSU9PjwYMGEBERMbGxqSjo0MVKlQgAGRjY0MDBgygevXqkZmZGV24cIG8vb1JSUmJgA/XBBGRn58fde/enRo0aEAPHjygJ0+e0K1bt6ht27bUrFkzCggIoF27dgk5DBs2jCIiImjAgAFkYGBAAwYMoPj4eBo5cqRMvb169SJjY2M6c+YMBQcHk4qKCqmpqdGMGTMoKSmJdHR0SEdHhzQ1NQkAnT9/nl6+fEnt2rWjpk2b0tWrVykgIIBUVVUV3hc4vq8o7ju/BGMrij+Qbyl4UIqDg4ODg4ODg4Pj04IHpTg+JYoblDp58iS9fPmSLCwsKCkpidTV1aW2BwYG0oQJEwj4MCiVnZ1NNWvWFLb36NGDcnJySEdHp9D6lZSUKDk5mXr37i2sIyLavHmzVDlLS0siIqpYsWKxx1KlShUiImrUqBEB/xs8Gjt2rFBmyJAhRETUqVMnYd2CBQvI399f6rhsbW2l6l6yZAndv3+/yHpNTU2JiMjExIQA0KhRoygxMVGqDiMjIyIiatOmjbCucuXKlJaWRoMGDVJ4X+D4vqI0BqX48T3GGGOMMcYYY98kJSUlEBHMzMxQvnx5vH//HiKRSAhDQ0PUq1dPKB8WFobIyEhh+eHDh1BRUYGJiQkAoHr16ti3bx8CAgKQlJSElJQUlC9fHnp6elL7ffr0qVz5GRkZ4cSJEwgKCkJycjJCQkIAQKY+Hx8f4c8xMTEAAF9fX6l11atXBwBoaGjAyMgIBw8elDrWpUuXSh1rwXqjoqKEYyyKqakpsrOz8ejRI2FdQkICXr9+DVNTU7mOmbHSxDO2/UBOnfkXIAlshwyW3Xb6LKCkAtvfbBSQGWOMMcYYY4yVnKmpKYKDg1G+fHlERUWhY8eOMmWSkpLkrs/Z2RlVqlSBvb09QkNDkZmZiYcPH0JdXV2qXFpamlz1ubi4IDQ0FBMmTEBkZCSUlZXx8uVLmfqys7OFPxNRoeuUlT/cM1K+fHkAwIQJE6QGjwBAIpF8tN68ehj7HvCg1I+EJAg2tsap02elBqZOnT6LYGNrGAZeUGByjDHGGGOMMSa/Tp06oWnTptiyZQvCw8Ohq6uLnJwchIaGFvkZPT091KhRQ7hrqHXr1pBIJHj9+jUAwMLCAlOmTMHVq1cBALVr10a1atU+mktWVhYASL0JsHLlymjQoAEmTJgADw8Pof7PFRsbi4iICNStWxcnTpz45HqysrJk3lzo7+8PNTU1tGrVCg8fPgTw4ThMTEzg5+f3WXkz9il4UOoHYjtksDAAder0WRw/eADDxo0XBqQKu4OKMcYYY4wxxhStTJky0NHRgYqKCnR0dNCzZ08sWrQILi4uOHLkCHJzc/Hw4UOcP38e8+fPR0BAAGrWrInevXvj3LlzePbsGQAgIyMDzs7OmDt3LipUqABHR0ecOXNGeGQuMDAQv//+O54+fYoKFSpgw4YNSE9P/2h+oaGhyM3NRZ8+fXDlyhWIxWLhjXsTJ05EVFQU9PT0sHbt2lJpDwcHBzg6OiI5ORnXrl1DmTJl0LJlS2hra2PLli1y1RESEgItLS107twZ3t7eSE9Px5s3b3D+/Hns378fkyZNgkgkwtq1axEREYELF/gmBvb18X19PxjbIYNhGHgBwcbWaLvmIkKMrVE96S1eez6WGSVnjDHGGGOMsW+BlZUVoqOjERISgmvXrqFTp06YMWMGrK2tkZubCwDo1asX7t69CycnJwQEBODUqVPQ19cXBpwA4M2bN/j3339x5coVXL9+HT4+PpgyZYqwfdy4cdDW1oanpyeOHj0KR0dHxMbGfjS/yMhIODg4YO3atYiJicGOHTtARLC1tUWLFi3w4sULbNmyBfPmzSuV9jh48CDGjx+PMWPGwNfXF3fu3MHo0aMRHBwsdx0PHz7E7t27cfr0acTHx2P+/PkAgDFjxuDZs2e4dOkSHj58CCUlJfTq1Qs5OTmlkjtjJaGEDzOes/+npaWFlJQUVKhQASKRSNHpfLJ1T8XIVZYehNIUJ6F63DO8eXIXDmvXyzyPzBhjjDHG2OfQ19fHn3/+iWXLlhX7iBVjX4KDgwP69++P5s2bKzoVxn4KxX3nyzu2wndK/YBOnT6LXGUVKEs+jHRXFkVALTsDaeUqIVivC1QGrsDxs3xrJmOMMcYYY4wxxhSHB6V+MPknNV9grgHDwAtI0KqF2qE3UOHWVuhHPYJ6dgZCfR4Ln1k2ZxZOXbyBdcv/gIaGhgKzZ4wxxhhjjDHG2M+CJzr/geQfkMqb1Dz/5OeGdAG2vdujWtUqSMl3+1yj9j0QXNsSqG2J1T1mokacJ8K97+OPNevkmvSPMcYYY4wxxhRtxYoVWLFihaLTYIyVAN8p9SNRUin0LXt5k59D6cMcU3Hx75GZmSVsD352FwaR91EmKx0ZZcojuHYHZPdehNW3InDy0i00NmnwVQ+DMcYYY4wxxhhjPz6+U+oHYvubTdHbCgxU5bfoz78A/IUKWlpYvnA+ajRti+hqvyBDXRNx2o3h/yZQKDtjwngcO/sPEpISSzN1xhhjjDHGGGOM/WR4UIoJUkQizF6yDACgoaGBFQvmopy2tvCWPg0NDRiO24Al4zehRrw3EvweYMW6DYiLf6/ItBljjDHGGGOMMfYd4kEpVqj09HTMc1gptc7Wuj+UcyXIKKuJ0BqtgRqtsbDDFNR474OkVw/x59qNiIqNUVDGjDHGGGOMMcYY+57wnFJMbodOnsDs9jqQ/OMAw7Bb0MxIRpZaWYTq/orkjvbYumufolNkjDHGGGOMMcbYd4LvlGIlIpFIsHT1GgBroKKigj/mzkaD1p0QW70lnt9zE8ptXv0ndFp0Q3rAQ6zdsBVB70IVlzRjjDHGGGOMMca+OXynFPtkEokEDus2YMiAXphuUR1rtm0XttVo1gFh1X9BfLupmPyvH45de4QDOx1Rv249BWbMGGOMMcaYYjk5OeHcuXOlWueAAQOQmJiIlStXomvXrtixY0ep1Fu/fn1ERUWhfPnypVJfaZCn/SwtLUFEqFixYpFlRo0ahcTE0nt508OHD2FjU/SLpxhjheNBKfZFeF45hbrB11Ah/T1yVNTwrnpzxLWZjPGnfXDM9Qnq1dFXdIqMMcYYY4wB+DDQQUQgImRmZiIwMBDLli2DioqKolOTi42NDX7//XfUrFkTu3fvhrOzc6nUu2bNGmzfvh2pqakA/jfYQ0SQSCRISkqCp6cn1q1bB11d3VLZ58fY29tj9OjRwrK7uzu2bNkiVebBgwfQ1dVFcnLyV8kJAFatWoW1a9dCSUnpq+2TsR8BD0qxL2LDzt0YMrAfprargcRDs1D37VVUTIuDREUNonK6Uo/zrVm2GM2bNFFgtowxxhhj7FswvfVUTPl1cqHbpvw6GdNbT/1i+7569Sp0dXVhbGyMTZs2Yfny5Zg3b16hZdXU1L5YHp/i999/x6VLlzB+/HgYGxvjyZMnn11nnTp10KdPHxw+fFhmW/369VGzZk2Ym5tj3bp16Nq1K168eIHGjRt/9n4/JiUl5aODTdnZ2YiJ+bovYLp69Sq0tLRgZWX1VffL2PeOB6XYF7d+x04MGWSNKe1rIXbfdKTdPihsq6VbE6p9F8PW6TGOXPfC4X170MKsmeKSZYwxxhhjCiPJlWBm2xkyA1NTfp2MmW1nQJIr+WL7zszMRExMDMLCwrBnzx64ubmhX79+AP73yNjixYsRERGB169fAwAaN26MmzdvIj09HfHx8di7dy80NTWFOpWVlbFp0yYkJiYiPj4e69atk7mTJjg4GPb29lLrvLy84ODgICxXrFgRe/bsQXR0NMRiMXx9fdG7d28AQOXKlXHixAmEh4cjLS0NPj4+sLW1lapPXV0d27ZtQ0xMDMRiMe7du4eWLVsW2x6//fYbvL29ERkZKbMtNjYWMTExCAwMxOnTp2FhYYG4uDjs3r1bqty4cePg5+cHsVgMf39/2NnZCdv09fVBRBg8eDDu3r2L9PR0PH78GMbGxmjZsiWePHkCkUiEK1euoGrVqsLn8j++5+TkhI4dO2LmzJnCHVz6+vqFPr43atQohIaGIi0tDf/++y+qVKkic1yTJ0/GmzdvkJmZiVevXmHEiBFS2x0cHBAaGoqMjAxERERg27Ztwrbc3FxcuXJFpu0ZY8Xjic7ZV7Vlz16p5T7du0IrIwGJ5XURUbURULURfjs4CvaJr0Ghj7F3zz48ePpUQdkyxhhjjLHSUE61XJHbJCRBliQLALDr8R6oKathZtsZUFNWw76nBzCx5XhMbW2Hnf/txsFnTnLVK84Rf3bOYrFYauCiS5cuSElJQbdu3QAAGhoacHV1xcOHD2Fubo7q1avjwIED2LFjB8aMGQMAmDNnDkaPHo2xY8fC398fc+bMwYABA3Dr1i2581BSUhLuwhkxYgSCgoLQsGFDSCQfBujKli2LZ8+eYd26dUhJSUHv3r1x9OhRBAUFCXdMrV+/HgMHDhQGZubPnw9XV1cYGRkVOa9S+/bt8VTOv4dnZGRgz5492Lp1K6pVq4a4uDgMGzYMK1euxLRp0+Dl5YXmzZtj//79SEtLw5EjR4TPrlixAjNnzkRYWBgOHTqEEydOQCQSwd7eHunp6Thz5gxWrlyJKVOmyOzX3t4e9evXx4sXL/DHH38AAOLi4mBgYCBV7tdff8XBgwexaNEinD9/Hj179sSKFSukyvTv3x/btm3DzJkz4ebmhj59+sDJyQnh4eG4ffs2Bg4ciFmzZsHW1hYvX76Erq4uzMzMpOp4/PgxFi5cKFebMcb+hzj+F1paWkREpKWlpfBcfqawGz2KTp0+S3vvhNAazywhTp46rfDcODg4ODg4ODg45At9fX06cuQI6evrS60PmOlXZOyz3i1V9vnUp0WWPTrosFTZ/yZ6FFqupHk7OTnRuXPnhOUuXbqQWCym9evXC9ujoqJITU1NKDN+/Hh6//49aWhoCOusrKwoJyeHqlevTgAoIiKC5s6dK2xXUVGhsLAwqX0FBweTvb29VD5eXl7k4OBAAKhbt26Uk5NDxsbGch+Pi4sLbdiwgQCQhoYGZWZm0tChQ4XtqqqqFB4eLpVbwfDy8qKlS5dKrbO0tCQioooVK8qU79GjBxERmZubEwAKDAwkW1tbqTJLliyh+/fvC32FiGjs2LHC9iFDhhARUadOnYR1CxYsIH9//yLPlbu7O23ZsqXYPI8fP06XLl2SKnPy5ElKTEwUlj08PGjv3r1SZU6fPi18btasWfTq1StSVVUtss369u1LOTk5pKSkpPBrkYPja0RR3/mA/GMr/Pge+ybsPuwM2yGDMcnSAG+3jINBwHlUEYXjxoULQpn927fhsJsvjh12Qpf2HRSYLWOMMcYY+9H06dMHIpEIGRkZuHr1Kk6fPo3ly5cL2319fZGdnS0sm5qawtvbG+np6cK6+/fvQ0VFBSYmJqhQoQJq1qyJR48eCdslEoncdx/ladasGcLDwxEYGFjodmVlZSxduhQ+Pj54//49RCIRevToAT09PQBAvXr1oK6ujvv37wufycnJwePHj2FqalrkfsuVK4eMjAy588x7LJGIoKGhASMjIxw8eBAikUiIpUuXol496bdx+/j4CH/OmwfK19dXal316tXlzqMwpqamUucB+PC2vIJl8rcR8OF85rXR2bNnUa5cObx9+xb79u1D//79ZSbCF4vFUFFRQZkyZT4rX8Z+Jvz4Hvvm7D96FPuPHpVZX864Nd5VNgEqm6Dr1mEYkfQGauFPcOywM665uysgU8YYY4wxJg+zHS2K3CYh6Xmi2uxtLzyylyXJgrqKOnb+txv7nh5ALuVKle10qFup5eju7g47OztkZWUhMjJSeDwuT1paWqntK7/c3FyZeabyT6QuFhf/KOK8efNgb2+PmTNnwtfXF2lpadi6dSvU1dU/K6/4+Hhoa2vLXT5v8CYkJATly5cHAEyYMEFmMKhgu+Yf6COiQtcpKyv+Xorw8HCYmJiga9eu6NatG3bt2oV58+bB0tISOTk5AD7M75WamlqiwTzGfnaKv7oZk5Pr/vUw8P8H1ZJDASUlRGsb412TYbDceA2HbvmhRnUdRafIGGOMMcYKIc4RFxl580nlGfPLKExtbYetDxzReHszbH3giKmt7TDml1HIlGTKVe+nSEtLQ1BQEN69eyczcFIYf39/mJmZQUNDQ1hnYWEBiUSC169fIyUlBZGRkWjVqpWwXUVFBS1aSA/QxcXFoUaNGsKylpYWDA0NhWUfHx/Url0bxsbGheZhYWGBCxcu4Pjx4/Dx8cHbt29Rv359YXtQUBAyMzNhYWEhrFNVVYW5uTn8/PyKPD4vLy80bNjwo+0AfJjXauLEibhz5w7i4+MRGxuLiIgI1K1bF0FBQVIREhIiV53yysrKkrljqSB/f3+p8wAArVu3limTv42AD22bv40yMjJw6dIl2Nvbo2PHjmjbti2a5HuLeOPGjeHl5fWph8LYT4nvlGLfjaP//IOj//wDAPitXz/0HzIE6TXNEVfRALlKqoiK/d9rX/ds3Qw3N3f8fclFUekyxhhjjLESynvL3tYHjtj1eA8ACP+d2XaG1LKiHT9+HCtWrICzszOWL1+OatWqYfv27Th69ChiY2MBANu2bcPChQsRGBiIV69eYfbs2ahUqZJUPbdu3cLo0aPh4uKCpKQkrFy5UmpQ7O7du7h79y7++ecfzJ49G2/evEGDBg1ARHB1dUVgYCAGDRqENm3aIDExEbNnz4aOjo4wmJKeno7du3djw4YNSEhIQFhYGObPnw8NDQ0cPHgQRXF1dcWBAwegrKyM3FzpO9SqV6+OsmXLQktLCy1atMD8+fNRtWpV2NjYCGUcHBzg6OiI5ORkXLt2DWXKlEHLli2hra2NLVu2fG7zC0JCQtCqVSvo6+sjNTUVCQkJMmUcHR1x//59zJkzBxcuXECPHj3Qs2dPqTIbNmzAmTNn4OXlBTc3N/Tt2xc2Njbo2rUrgA9v71NRUcGjR4+Qnp6OESNGID09HaGhoUId7du3x/Xr10vt2Bj7WSh8cqxvKXii8+8vbKx60yL76cJyC7NmtO6pmNZ4ZtEB9wA6efwEDek/QOF5cnBwcHBwcHD86FHcpLfyxPTWU2nKr5ML3Tbl18k0vfXUL5J3wcmz5d3euHFjunnzJqWnp1N8fDzt3buXNDU1he0qKiq0ZcsWSkpKooSEBNq4cSMdPnxYqi4tLS06efIkJSUlUWhoKI0cOVJqonMApK2tTQcPHqT3798TEZGPjw/16tVL2Hbu3DlKSUmh6OhoWrlypcw+ypQpQ9u2baPY2FgSi8V07949atmyZbFtoqKiQuHh4dS9e3dhXd4E4kREEomEkpOTycvLi9atW0c6OjoydQwdOpQ8PT0pIyOD3r9/T7dv36b+/fsLfYWIyMzMTKb+/BOpjxo1SmpC8oLnwtjYmB48eEBpaWlERKSvr19oPWPGjKGwsDBKS0ujCxcu0OzZs6XqBUCTJ0+mN2/eUGZmJr169YpGjBghbLO2tqaHDx9SUlISiUQievDgAXXu3FnYXrNmTcrMzKRatWop/Drk4PhaURoTnSv9/x/Y/9PS0kJKSgoqVKgAkUik6HTYJ5g0ciRaj1qI6Er1gHzP51dNCUP5qKc4d/IEzly8qMAMGWOMMcZ+TPr6+vjzzz+xbNkyqTtIWOlxcXHB3Llz8fr16y++rylTpqBfv34ydxUxWWvXroW2tjYmTZqk6FQY+2qK+86Xd2yF55RiP5y9R45gTJeGuDO3J+r4HIduYiCUKBfxFfQQYmKDfgP/d1vxx54/Z4wxxhhj7FtQrVo1GBgYICsrC1ZWVl9ln3v37sXdu3eFictZ0WJjY7Fs2TJFp8HYd4fnlGI/rGvu7sJb+bq074DRY0ZBomeOY4edhTKH9+9Der0uqBj1BO5XXLD3yBFFpcsYY4wxxliRzMzMcOHCBcTHx2PFihVfZZ8SiQR//fXXV9nX927z5s2KToGx7xIPSrGfws17d3Hz3l2Z9bl1WiJBqyYStKxhUN8ae8avQqXoJ7jvehnbDx5SQKaMMcYYY4zJcnNzg6ampqLTYIyxUsWP77Gf2t5F41DT8zBqxb+Ecq4EieV1EWzUFzWn7sHeOyGooKWl6BQZY4wxxhhjjLEfEt8pxX5qD54+xYPxTwEALcyaYfrUyVA2MEeUtinKZqcgJd+EbMecDsH76RNs2LlbUekyxhhjjDHGGGM/DB6UYuz/PfN+jtETJwMAzEwbonnTJsK2vt174J3ZCFQ2G4GdQ5ehSsxTeN+9gTXbtisqXcYYY4wxxhhj7LvGj+8xVghvfz8cPn1aWNbVqY46cc+hIslGikZVBBv2RIVRm7DDIwqn/70Eu9GjFJgtY4wxxhhjjDH2/eFBKcbksP/oUYzo8SsODGmKqvd3Qy/WE6qSbIg0quCtQXeYt24llK1WtQpUVFQUmC1jjDHGGGOMMfbt48f3GCuBgLdBmDDdHgBQr44+FsybCU3jVli/bYdQxnHbDsQZdEH1uGcIfHwHy9dtgEQiUVTKjDHGGGOMMcbYN4nvlGLsEwW9C8XEGbMw3KotvP39hPUZuk2RVq4SgvW6QHXQSmy+F41TF1yxZtlilCmjrsCMGWOMMcbY98bS0hJEhIoVK5ZqvUQEa2vrUq1TX18fRAQzM7NSrVceEyZMQFhYGCQSCezt7b/6/kvD6dOnERoairZt2+Lo0aNo2bLlF9/nl+pf3yo1NTUEBgaiTZs2ik5FMGrUKCQmJn603Meu2dK+/tasWQNHR8dSqas4PCjFWClbPLQzKtzeCv2oR1DPzkB62YoIrtMJGLAcm2+G8sAUY4wxxtg3hIiKDQcHB0Wn+EXo6uri6tWrik5Dxqf8sNbS0sKOHTuwbt061KpVC/v27fuCGX4ZWlpaMDAwwO+//46tW7dCR0cHnp6en1TXH3/8gaNHjwIAmjZtigsXLiAmJgZisRjBwcE4deoUqlWrBgB48OABdHV1kZyc/NF6f4QBrMmTJyM4OBgPHz4U1uW/3lNTUxEQEAAnJyf88ssvXyWn06dPo379+sKyg4MDvLy8ZMp97Wt248aNGDVqFAwNDb/ofnhQirFSFhUbg6mz52NY7/ZY29sQ5d02wyDqIdSzxaiYGobMzCyh7Kkz/2DjyuXQ0NBQXMKMMcYYY9+Kbt2Arl0L39a164ftpUxXV1cIe3t7JCcnS63buHFjqe/zWxATE4OsrKyPF/wO6OnpQV1dHZcvX0Z0dDTEYvEn1aOqqrjZbUQiEVq1aoW7d+/i119/Rffu3ZGbm/tJdVlbW+PixYuoWrUqbt68iYSEBPTo0QOmpqYYM2YMIiMjoampCQDIzs5GTExMaR7KN23atGk4ePCgzPrRo0dDV1cXjRo1wtSpU1G+fHk8evQIv//++xfPKSMjA3FxcR8t97Wv2ffv38PV1RV2dnZffF/E8b/Q0tIiIiItLS2F58LxY0XlStrUpX0HYXnSyJG0xjOL1nhm0Zb/Eumky03asvpPqsB9j4ODg4ODg+M7DX19fTpy5Ajp6+t/Wh1duxI2bPjwX3nWl3KMGjWKEhMTpdaNGzeO/Pz8SCwWk7+/P9nZ2Ultr1WrFp04cYLev39Pqamp9OTJE/r1118JADk4OJCXlxeNGDGCgoODKSkpiU6ePEnly5cXPq+urk7btm2jmJgYEovFdO/ePWrZsqWw3dLSkoiIKlasKKyzsbGhFy9eUEZGBgUHB9Ps2bOlctLV1aVLly5Reno6vX37loYOHUrBwcFkb28vlCEisra2FpbXrl1Lr1+/prS0NAoKCqKVK1eSqqpqse1lbm5Onp6eJBaL6cmTJ9S/f38iIjIzMyMApKysTAcOHKC3b99Seno6vXr1imbMmPHRPpS/jrzj79y5Mz158oTS0tLo/v37VL9+feGcFZTX/yZPnkxv3ryhzMxMevXqFY0YMUJqX0REkydPpgsXLlBqaio5ODgI52zMmDEUGhpKIpGIdu7cScrKyjRv3jyKioqimJgYWrx4sVRds2bNIh8fH0pNTaWwsDDauXMnaWpqSpVp27Ytubu7U1paGiUkJNC1a9eoUqVKBIB69OhB9+7do8TERIqPjycXFxeqW7eu1OcbN25MN2/epPT0dIqPj6e9e/fK7KN27dqUkZFBWlpaZG1tTVlZWaSiolJkexfsX3p6enTx4kVKSEig1NRUevHiBVlZWQnnJT8nJycCQEpKSrRw4ULhPD9//pwGDhwos4/u3buTp6cnpaen082bN6latWrUs2dP8vPzo+TkZDp+/DiVK1dO+NzH2kRNTY22b99OkZGRJBaLKSQkhBYuXFjksbZo0YJycnKkrr/CroW8OHz4MCUnJwvnCABZWFjQ3bt3KT09ncLCwmjbtm2koaEhbA8ODqYlS5aQs7MziUQiCgkJob59+1LVqlXp/PnzJBKJyNvbm1q0aFHo905h/XnUqFGF5vmx6w8AdejQgR49ekQZGRkUGRlJa9askeoPAwcOJB8fH6FP3bhxQ+p4fv/9dwoLCyv2ei3qO78EYytf7kv9ewwelOL4WjF6yJAPA1H/JQqDU2s8s2jzf0l08tJtmjfVTuE5cnBwcHBwcHCUJIr8gaKmVnQUHPjo3v3DAFT37h+2518uWLaoOj8x/4KDUsOGDaOIiAgaMGAAGRgY0IABAyg+Pp5GjhxJAEhTU5PevHlDd+7cIQsLC6pXrx4NHjyYWrduTcCHQamUlBT6+++/qVGjRtSuXTuKjIykVatWCfvYunUrhYeHU8+ePcnU1JScnJzo/fv3pK2tTYDsoMEvv/xCOTk5tHTpUjI2NqZRo0ZRWlqa8MMVAF2/fp08PT3p119/pebNmwsDIcUNSi1ZsoTatGlD+vr61KdPH4qKiqJ58+YV2VaampoUExNDx44do4YNG1Lv3r3pzZs3Uj+KVVVVafny5dSiRQsyMDCgYcOGUWpqKg0ePLjYPlTYoNTDhw+pQ4cOZGpqSnfu3CEPDw8CQGXLlqXOnTsTEVHLli1JR0eHlJWVqX///pSZmUl2dnZkbGxMs2bNouzsbOrYsaNUG0RHR9Po0aPJ0NCQ6tSpI5yzM2fOkKmpKfXp04cyMjLo6tWrtG3bNqpfvz6NHj2aiEgYfARA9vb21LFjR9LX16dOnTqRv78/7dy5U9huZmZGYrGYdu7cSU2bNqWGDRvS1KlTqUqVKgR8GGgcMGAA1atXj8zMzOjChQvk7e1NSkpKBIA0NDQoIiJC6EudOnWioKAgYWAoL6ZMmULXrl0jANSqVSsiIho0aFCR7V2wf7m4uJCrqys1btyYDA0NqXfv3tS+fXtSVlamAQMGEBGRsbEx6ejoUIUKFQgALV68mPz8/Kh79+5kaGhIo0aNIrFYTB06dJDax4MHD6ht27bUrFkzCggIIHd3d7p27Ro1a9aM2rVrR3FxcTR//nwht4+1yZw5cyg0NJTatWtHenp6ZGFhQba2tkUe68yZM8nPz09mfVGDUmZmZkREQn+tW7cuiUQisre3JyMjI2rTpg09e/aMDh06JHwmODiY4uPjaeLEiWRkZEQ7d+6kpKQkunLlCg0aNIiMjY3p33//pZcvXxb6vVO2bFnasGED+fr6ko6ODuno6FDZsmVl8pTn+qtZsyalpqbSjh07yMTEhKytrSk2NpYcHBwI+DB4nZWVRTNnziR9fX1q3Lgx2dnZSQ10mpiYSA30yv2dDx6U+uTgQSmOrx0aGhq0ceVyOnXRjbY+TBAGp3ZuXi+UMTNtSNWqVlF4rhwcHBwcHBwcxUWRP1A2bCg6xo6VLrt6ddFlJ0+WLuvgUHi5T8y/4KBUYGCgzI/cJUuW0P379wkATZgwgZKTk4UBpILh4OBAqampUndmrFu3jh4+fEjAh78HZmZm0tChQ4XtqqqqFB4eTnPnziVAdtDg2LFj5OrqKrWfdevW0YsXLwj434/I/Hdi1KtXj4io2EGpgjFnzhx68uRJkdsnTJhAcXFxVKZMGWHdpEmTZO7UKBjbt2+ns2fPFtuHChuU6ty5s1DGysqKiEjYd97gQf5+5+HhQXv37pWq+/Tp03Tp0iWpNti8efNHz9nVq1fp7du3wmAIAPL396cFCxYUeRwDBw6kuLg4Yfn48eN07949uftilSpViIioUaNGBIDGjx9P79+/l7qLxcrKinJycqh69erCOldXV5oyZYqwvGrVKsrKyqL4+Hi6cuUKzZ07V6p8wf7l7e1Nf/zxR6E5FXbXnrq6OqWmpgoDsXmxf/9+On78eJHncMGCBUREZGhoKKzbvXs3Xb16Ve422bZtG7m5ucndplu2bCm0fFHXQpkyZYiIhMHZ/fv30549e6TKWFhYUE5OjtAXg4OD6ciRI8J2HR0dIiJasWKFsC5vsFBHR4cA2e+dvLv1istTnutv1apV5O/vL1WHnZ0dpaSkkJKSEjVv3pyIiPT09Ipss7zxkbwBxsKu188dlOI5pRhTsPT0dMz9Yzls+3XFgo66UL6wEoZht7Bq7SahzKKVq7HwcjBOXLmHnZvXo0Z1HWHbqTP/4tTps4XWfer0WZw68+8XPwbGGGOMsR+NhoYGjIyMcPDgQYhEIiGWLl2KevXqAQCaNWsGLy+vYt+cFRISgtTUVGE5KioK1atXBwDUq1cP6urquH//vrA9JycHjx8/hqmpaaH1mZqaSpUHgPv378PY2BjKysowMTFBdna21CTZQUFBSEhIKPZ4f/vtN3h4eCAqKgoikQirVq2Cnp5ekeVNTU3h4+ODzMxMYV3+yaPzTJkyBU+fPkVsbCxEIhEmTpxYbL1F8fHxEf4cFRUFAEI7FpVfYe1UsF2fPn0q89mC5ywmJgZ+fn4gIql1+fffpUsXuLm5ITw8HCkpKTh69CiqVq2KcuXKAfjQV27evFlkvkZGRjhx4gSCgoKQnJyMkJAQABDaytTUFN7e3khPT5c6HhUVFZiYmAD4MFm6paUlLl68KJRZunQpdHV1MXnyZLx8+RKTJ0/Gq1ev0Lhx40LzcHR0xNKlS+Hh4YHly5ejSZMmReacl7empiZu3LghdZ2MHDlSuE7y5D+HMTExSEtLQ3BwcJFt+rE2OXz4MJo1a4bXr19j27Zt6PaROefKlSuHjIyMYsvkp6SkBADCeTczM8Po0aOljtPV1RUqKipSk4EXPE4A8PX1lVlXXP/9GHmuP1NTU5l19+/fh5aWFmrXrg1vb2+4ubnB19cXZ86cwfjx41GpUiWp8nnzs33JOZAVN5MbY0xGZmYWFqxYJbNeXNkYWWplEarbCtBthTnt7FAj3gei1/8BSkCwkTVOnT4L2yGDhc+cOn0WwcbWMAy88DUPgTHGGGNM1uLFRW/L90MfALB8OdCp04dJzXNyAFVV4MYNwN1dtuxff5V6qnnKly8PAJgwYQIePXoktU0ikQCAXBNqZ2dnSy0TEZSVv617A1q3bo3jx4/DwcEBrq6uSE5Ohq2tLebMmfNZ9Q4ZMgQbN27EnDlz8PDhQ4hEIsybNw+tWrUqcV352zFvkKA02jEtLa3YfeXtr7jzqK+vj0uXLmH37t1YsmQJEhIS0K5dOxw6dAjq6uoQi8Uf7SsuLi4IDQ3FhAkTEBkZCWVlZbx8+RLq6vK/udvKygp+fn4IDw+XWp+QkIC///4bf//9NxYvXgwvLy/MnTsXo0ePlqnj4MGDcHV1Re/evdG9e3csWrQIc+bMwY4dOwrdZ9510rt3b0REREhtyz9gAsiew49dGx9rEy8vLxgaGsLKygpdu3bFmTNn4ObmhsGDB6Mw8fHxHx1kyy9vADNv4Kx8+fLYu3cvHB0dZcqGhYUVepyFrSvN/vs5cnNz0a1bN7Rt2xbdu3fH9OnTsXr1arRq1UoYAKxcuTIAyDUR+6f6tr4NGWOFGt/dDNlnlsIw7CY0xUnIVi2DMF1zJFpOR1xNCxgEXkCwsbVwx1T+Aan8A1WMMcYYYwqRnV105ORIl7W0/DAg5eoKLFr04b/dun1YX7BsUXWWgtjYWERERKBu3boICgqSirwfbD4+PmjWrBm0tbU/aR9BQUHIzMyEhYWFsE5VVRXm5ubw8/Mr9DP+/v5S5QHAwsICAQEByM3NxevXr6GmpobmzZsL2+vVqyf8uCxM27ZtERoair/++gvPnj3DmzdvoK+vX2zu/v7+aNq0KcqUKSOsa926tUxeDx48wO7du/H8+XMEBQXJ3D3zpRTVTkW16+do0aIFlJWVMWfOHDx69AiBgYGoWbOmVBkfHx906dKl0M9XrlwZDRo0wKpVq3Dr1i28evVKpk/5+/vDzMxM6o4VCwsLSCQSvH79GsCHt+5duFD8P0hnZ2cjKChIePteYcLDw7F3714MHDgQmzZtwoQJEwBAePObioqKUNbPzw8ZGRnQ09OTuU4KDo6VhDxtAnx4a+GZM2cwceJEDBkyBIMGDSryevTy8kKDBg3kzmHmzJlITk6Gm5sbAMDT0xMNGzaUOc6goKBCB6I+VVZWllQbF0ae68/f3x9t2rSRWmdhYYGUlBSpc/PgwQMsX74czZs3R1ZWFgYMGCBsa9y4MbKysvDy5cvPOaRi8aAUY98BiUSCP9auh21/K8zqUAMZJxbBMPQGyosTUTXRH0OHDIbh/w9MrX2WwQNSjDHGGPs+de0K9OjxYSDq/38Iws3tw3KPHh+2f0UODg5YtGgRpk+fDmNjYzRu3BijR4/GrFmzAAAnT55EdHQ0zp8/j7Zt28LQ0BA2NjYyPw6Lkp6ejt27d2PDhg3o0aMHTE1NsX//fmhoaBT62noA2LRpE7p06YKlS5fC2NgYI0eOxLRp07Bx40YAwOvXr3Hjxg3s27cP5ubmaNasGfbt24f09HSpx8/yCwwMhJ6eHoYMGYK6deti+vTpUj9MC3PixAkQEfbv3w9TU1NYWVlh7ty5MvW2bNkS3bt3h7GxMVauXAlzc3O52uZzbdiwAaNHj8bkyZNhZGSEWbNmwcbGRmin0vTmzRuoq6tj+vTpMDQ0xIgRIzB58mSpMmvWrIG5uTl27tyJJk2awMTEBJMnT0aVKlWQmJiI+Ph4TJw4EfXq1UOnTp2wefNmqc8fP34cGRkZcHZ2RqNGjdCxY0ds374dR48eRWxsLFRUVGBlZSX16F7v3r1x9OhR9O7dG8bGxqhfvz7mzJmDXr16FTl4tWXLFnTv3h0GBgZo3rw5OnXqBH9/fwBAaGgocnNz0adPH1StWhWamppITU3Fxo0bsWXLFowcORJ169ZF8+bNMW3aNIwcOfKT21SeNpk1axZsbW1hYmICY2NjDB48GFFRUUhKSiq0Tnd3d5QvXx6NGjWS2VapUiXo6OhAT08PXbt2xdmzZzFs2DDY2dkhOTkZALBu3Tq0bdsW27dvh5mZGYyMjNCvXz9s3779k4+zMCEhITA0NISZmRmqVKlS6N1y8lx/u3btQp06dbB9+3aYmJigX79+WLFiBTZv3gwiwq+//opFixahRYsWqFOnDmxsbFCtWjXhfANA+/btce/evRI99vgp5J4Y7GcInuic43uL+nXrCX9e91T8YaL0Z5m0cuF8heXEwcHBwcHB8XNGcZPeyhXduhG6di18W9euH7Z/wfwLTjgMgIYOHUqenp6UkZFB79+/p9u3b1P//v2F7Xp6enT27FlKSkqi1NRUevz4MZmbmxNQ+ITF9vb2FBwcLCyXKVOGtm3bRrGxsSQWi+nevXvUsmVLYXthk0vb2NjQixcvKDMzk0JCQmjOnDlS+9DV1aXLly+TWCym4OBgsrW1pejoaJo4caJQpuDkzuvWraO4uDhKSUmhkydPkr29vUxbFIxWrVqRl5cXZWRkkKenp/B2tryJltXV1enQoUOUmJhICQkJtHPnTvrrr78KncQ5fx8qbKLz/MdfcGLzwiY6B0CTJ0+mN2/eUGZmJr169YpGjBghtb2wCa4LO2dOTk507tw5qXXu7u60ZcsWYXnmzJkUERFBaWlpdPXqVRoxYoRM3h06dCAPDw/Kc/XqVWF7ly5d6OXLlyQWi+n58+fUoUMHmfwaN25MN2/epPT0dIqPj6e9e/cKb0rr3LkzhYWFSeVoaGhIe/fupVevXlFaWholJCTQo0ePpN7UWLB9HR0dKTAwkMRiMcXExJCzszNVrlxZKL906VKKjIwkiUQi9ea/GTNmkL+/P2VmZlJMTAxdvXqV2rdvX+Q5LOxaK9j2H2uT8ePHk6enJ4lEIkpKSqIbN25Qs2bNiu2zp06dor/++kumH+RJT0+nwMBAcnJyoubNm8t8vmXLluTq6kopKSkkEono+fPntGjRImF7cHCw1AsFCutnBft4wbZQV1ens2fPUkJCAhGRcL4K1vOx6y+vzz169IgyMjIoMjKS1qxZQyoqKgSAGjRoQFevXqWYmBgSi8X06tUrmjp1qlTu/v7+NGTIkGKvV377XikHD0pxfK9x6vRZYUBqjWcWrX0qpsP79ig8Lw4ODg4ODo6fJz57UIrji0StWrWISPrtZxyKi9q1a5O7u3up1rlt2zbauXOnwo/tW48mTZpQdHS0MJjHUXT07NmTXr58KQxiFRb89j3GGADpOaQO9K+PSqnRIGUVRLUci9PnrnzRtyUwxhhjjLFvS6dOndC3b18YGBigTZs2OHXqFIKDg3H37l1Fp/bTq1evHipUqABzc3OZN519jhcvXmD37t2lVt+PytfXFwsWLJB6Wx4rnKamJsaMGSO82OFL4UEpxr5zBSc1D3oXimmdDKGbGAAAeKvfFbsvPEDzErxpgjHGGGOMfb/U1NTw119/4eXLlzh37hzi4uLQsWNH5BScKJ59dYsXL4anpydu3bpV5NxHn2L//v148eJFqdX3I3N2dua2ksM///yDx48ff/H98KAUY987JRWZSc0lEgnGdGkMvZinUMqVILJKQ4wZMVSBSTLGGGOMsa/l+vXraNKkCTQ1NaGrqwsbGxupV9YzxRk3bhzKli2Lfv36KToVxr4JqopOgDH2eWx/syly23Crtpg/bSqamptjxILFXzErxhhjjDHGGGOseDwoxdgPbv2OnVLLg/r0Rf+BAzBizFgFZcQYY4wxxhhjjPHje4z9VGpU10H3edvwzmwETl66hcqVtBWdEmOMMcYYY4yxnxQPSjH2E4mKjUH5dw+gRLkIqdkOG/+9D8vWbRSdFmOMMcYYY4yxnxAPSjH2kxk2YgTK3dgM9ewMxFQywqBN5zFr8iRFp8UYY4wxxhhj7CfDg1KM/YTsFy7Gm93TUSE9HqnltFFz7Cbs2bJJ0WkxxhhjjDHGGPuJ8KAUYz+p3YedcWRaH9RIeIUcVXWoNO+PMmXUFZ0WY4wxxhgrhr6+PogIZmZmX6R+IoK1tXWp1vmlcy4JExMTPHz4EGKxGF5eXopO55PduXMHQ4cOVXQaAktLSxARKlasWGy54OBg2NvbF1umNPvgpEmTcPHixVKpi30ZPCjF2E/s0XNPTOnXGnXfXoXrxpnIzMxSdEqMMcYYY1+dk5MTiEgmrl69qujUvjpdXd1v9rjHjx+P58+fQyQSITExEZ6enli4cGGJ6lixYgXS0tJgYmKCLl26YNSoUUhMTPxCGX8Zffv2hY6ODk6dOiWsCw4OFvpteno6goODcfr0aXTq1Omr5PTgwQPo6uoiOTkZAIpsV3Nzc+zbt++r5AQAhw4dwi+//IJ27dp9tX2ykuFBKcZ+cunp6RgyyBp/X3IR1jnv3wvrHj0UmBVjjDHGfkYtavRBc91ehW5rrtsLLWr0+WL7vnr1KnR1daXiW7oT5UtTU1MDAMTExCAr69v7h8oxY8Zg69atcHR0RLNmzWBhYYH169ejfPnyJaqnXr168PDwQFhYGBISEr5Qth+X196fYsaMGcJAan7Lli2Drq4uTExMMHLkSCQlJcHNzQ2LFy/+3HQ/Kjs7GzExMR8tFx8fD7FY/MXzyZOdnY0TJ05gxowZX22frGR4UIoxJmXX5g2IbDEGnR2Ow2H+XEWnwxhjjLGfSC7lwryWtczAVHPdXjCvZY1cyv1i+87MzERMTIxUJCUlCduJCOPGjcO///6LtLQ0BAQEoG/fvlJ19O3bFwEBARCLxbh16xZGjhwp80iThYUF7t69i/T0dISFhWHbtm3Q0NAQtgcHB2PRokU4ePAgUlJSEBoaigkTJsjkW7duXdy6dQtpaWl4/vw5WrduLWyrXLkyTpw4gfDwcKSlpcHHxwe2trZSn3d3d8f27duxZcsWxMXFwdXVVTjO/I9OrV27Fq9fv0ZaWhqCgoKwcuVKqKqqFtuW5ubm8PT0hFgsxpMnT9C8eXOZMo0aNcKVK1cgEokQHR2NI0eOoEqVKkXW2a9fP5w5cwaHDh1CUFAQ/Pz8cOrUKSxdulQoo6SkhGXLluHdu3fIyMiAl5cXeuT7h1YiQsuWLeHg4AAigru7Ow4fPoxKlSoJdxk5ODhg6tSp8PX1FT5nbW0NIsKkSf97OdCNGzfw559/Cufi/PnziI6OhkgkwuPHj9GlSxep/IODg7F06VI4OzsjOTlZuFvoY/2hoKpVq6Jz585wcXGR2SYSiRATE4N3797h3r17mDRpEv7880+sXLkS9evXl7vt3d3d4ejoiC1btiAhIQHR0dEYP348NDQ0cOjQIaSkpCAwMBA9e/YUPpP/8T1LS8tC2zWvHfI/vmdkZIQ7d+5ALBbj5cuX6Nq1q8xxNW7cGDdv3kR6ejri4+Oxd+9eaGpqSu370aNHSE1NRWJiIjw8PKCnpydsd3FxQb9+/VC2bNki25UpFnH8L7S0tIiISEtLS+G5cHAoIob0H0B774TQGs8sWv8knZz27FJ4ThwcHBwcHBzfR+jr69ORI0dIX19far2qsnqRoaKkKlW2RY2+NLHFXmpRoy+pKqtLLasoqclVb0nzdnJyonPnzhVbhogoLCyMbG1tqV69erR161ZKSUkhbW1tAkAGBgaUmZlJ69evp/r169OQIUPo3bt3RERUsWJFAkB169YlkUhE9vb2ZGRkRG3atKFnz57RoUOHhP0EBwdTfHw82dnZUb169WjBggWUk5ND9evXF9qYiMjPz4969epFxsbGdObMGQoODiYVFRUCQDVr1qQ5c+aQmZkZGRoa0rRp0yg7O5vMzc2F/bi7u1NKSgqtW7eO6tevL9RPRGRtbS2UW7JkCbVp04b09fWpT58+FBUVRfPmzSuynTQ1NSkmJoaOHTtGDRs2pN69e9ObN2+IiMjMzIwAUMWKFSkmJoZWr15NJiYm1KxZM3J1daWbN28WWe/u3bvJz8+P9PT0iiwzc+ZMSkpKoiFDhlD9+vVp7dq1lJmZSUZGRgSAdHR0yNfXlzZs2EA6OjqkpaVFM2bMoKSkJNLR0SEdHR3S1NSkxo0bk0QioapVqxIA2rx5M8XGxtLJkyc/9DtVVUpNTaUuXboQAGratClNnDiRGjVqREZGRrRy5UpKT0+nOnXqSJ3XpKQkmj17NtWtW1eIj/WHgtG/f38SiUSkpKQktT44OJjs7e1lymtra5NEIhHOmTxt7+7uTsnJybRkyRIyMjKiJUuWUHZ2Nl2+fJnGjx9PRkZGtHPnToqLi6Ny5coRALK0tBT6upqaWqHtWjBPJSUl8vHxoRs3blDTpk2pffv29OzZM6k+qKGhQREREfT3339To0aNqFOnThQUFEROTk4EgFRUVCgxMZHWr19PdevWpQYNGtDIkSOl2r5cuXKUk5NDlpaWCv+O/NGiqO98oERjK4o/kG8peFCKgwNUv249Our6hNZ4ZtEazyw6/e8lKlOm5H/B4+Dg4ODg4Pi5oqgfKBNb7C0yehpNkyo7ppljkWX71J8tVfb3phsLLVfSvJ2cnCg7O5tEIpFULFq0SChDRLRy5UphWUNDg4iIevToQQBozZo15OPjI1Xvn3/+KTUotX//ftqzZ49UGQsLC8rJyaEyZcoQ8OFH+5EjR6TKREdH06RJk4Q2JiIaO3assN3U1JSIiExMTIo8RhcXF9qwYYOw7O7uTs+ePZMpV3BQqmDMmTOHnjx5UuT2CRMmUFxcnHA8AGjSpElSg1JLliyha9euSX2uVq1aRERkbGxcaL26urr04MEDIiJ69eoVOTk50eDBg6UGZ8LDw6XOGQB69OgR7dixQ1j28vIiBwcHYXnUqFGUmJgos7+4uDgaOHAgASBPT09asGABRUZGEgBq27YtZWZmCgMyhYWvry9NnTpVWA4ODqZ///1Xqow8/aFg2Nvb05s3b2TWFzUoBYCioqJo586dcre9u7s73b17V9iurKxMIpGInJ2dhXU6OjpERNSqVSsCpAelimvX/Hl269aNsrKyqEaNGsL2Hj16SPXB8ePH0/v370lDQ0MoY2VlRTk5OVS9enXS1tYmIqIOHToUe42/f/+eRo4cWWwZjpJHaQxK8eN7jDEZAW+DMLpXaxi+vQIAeGvQHftd/kNjkwYKzowxxhhj7Mtwd3dHs2bNpGLPnj1SZXx8fIQ/p6enIzk5GdWrVwfw4a1uT548kSr/+PFjqWUzMzOMHj0aIpFICFdXV6ioqMDQ0LDQ/QBAdHS0sJ/CykRFRQGAUEZZWRlLly6Fj48P3r9/D5FIhB49ekg90gQAz549+2i7/Pbbb/Dw8EBUVBREIhFWrVolU09+pqam8PHxQWZmprDu4cOHMu3QqVMnqXZ49eoVgA9zPhUmOjoabdu2RePGjbFt2zaoqqrC2dkZ165dg5KSErS0tFCrVi3cv39f6nP379+HqanpR4+zoLt376Jjx46oWLEiGjZsiF27dqFMmTIwMTGBpaUlnjx5IsyNpKmpiQ0bNsDPzw+JiYkQiUQwNTWVaaenT5/KtIM8/SG/cuXKISMjo0THoqSkJMw/JW/b5+9fubm5eP/+vdQjjXnzRxXslyVhamqKd+/eCf0XkO0rpqam8Pb2Rnp6urDu/v37UFFRgYmJCRITE+Hk5ARXV1dcvHgRM2bMgK6ursy+xGJxsY9FMsUp/mFgxthPSyKRwHZQfxzY4YiEVuMQUbUxZs6YgvFTeZJAxhhjjJXMIa/pRW6jAvNEHfWZCzOdHmhRsw8kudlQUVbDs8hL8I5xlZnY+eSL0pvAOW/OpOJkZ2dLLRMRlJXl/3f+8uXLY+/evXB0dJTZFhYWVqL95C+T1y55ZebNmwd7e3vMnDkTvr6+SEtLw9atW6Guri5VR1paWrH5tm7dGsePH4eDgwNcXV2RnJwMW1tbzJkzR46jLVr58uXh4uKCBQsWyGzLP0BRmJcvX+Lly5fYvXs39uzZAw8PD1haWso1wFYSt2/fxsSJE9G+fXt4eXlBJBIJA1WWlpa4c+eOUHbjxo3o1q0b5s6dizdv3kAsFuPvv//+aHvL2x/yi4+Ph7a2ttzHUblyZVSrVg3BwcHCPuVp+8L6YMF1AErU/7+UsWPHwtHRET179sSQIUOwatUqdOvWDY8ePRLKVK5cGXFxcQrMkhWFB6UYY8UaP20GFtkHwqxtB9jygBRjjDHGPkFOrvxvc2tSvSta1OyDJxEX4BV9Jd8k5xJ4RV/55Hq/tNevX6NXL+kJ2s3NzaWWPT090bBhw48Ofn0uCwsLXLhwAcePHwfw4U6Z+vXrw8/Pr0T1tG3bFqGhofjrr7+Edfr6+sV+xt/fH7///jvKlCkj3C2VfxJ24EM7DBw4ECEhIZBIJCXKKb+849HU1IRIJEJERIQwcXgeCwsLmTvW8svKyoKKiorM+jt37mDr1q0YPHgwbt++DeDDQFXXrl1hYWGBTZs2Se3j8OHDOH/+vJCPgYHBR/P/lP7g5eUFXV1dVKpUSWoi/qLY29sjNzdXyK202v5jimrX/Pz9/VGnTh3o6uoiOjoagGxf8ff3x+jRo6GhoSHcLWVhYQGJRILXr18L5Z4/f47nz59j7dq1ePDgAYYNGyYMStWtWxflypWDl5dXaR4iKyWKH9ZkjH3z1mzbDtshg4Xldr+2gvP+vQrMiDHGGGM/orwBqLwBKQDwir6CJxEXCn0rX2kqU6YMdHR0pKK4t8EVtHfvXjRo0ABr166FsbExBg8ejNGjRwP4351M69atQ9u2bbF9+3aYmZnByMgI/fr1w/bt20v1WAIDA9GtWze0adMGDRo0wN69e6Gjo/NJ9ejp6WHIkCGoW7cupk+fjgEDBhT7mRMnToCIsH//fpiamsLKygpz50q/0Xnnzp2oXLkyTp48iZYtW6Ju3bro3r07Dh06VOSdN7t27cLSpUvRtm1b6OnpoVWrVjhy5AhiY2OFR742bNiABQsW4LfffkP9+vWxZs0aNGvWDNu2bSsy35CQEGhpaaFz586oUqUKypUrB+DD42uJiYkYNmyY1KBU//79UaZMGanHBAMDA2FjYwMzMzM0bdoUJ06ckOsOok/pD15eXoiPj4eFhYXMNi0tLejo6KB27dpo37499u7di6VLl2LJkiXCwNentP2nKKpd83Nzc0NAQACcnZ3RtGlTtGvXDqtXr5Yqc/z4cWRkZMDZ2RmNGjVCx44dsX37dhw9ehSxsbEwMDDAX3/9hdatW0NPTw/dunWDsbEx/P39hTrat2+PoKAgvH37ttSOj5UeHpRijJVIBS0tjFtzCJEtxuDURTdU0NJSdEqMMcYY+0EoKylLDUjlyRuYUlb6cj9frKysEB0dLRUeHh5yfz4kJASDBg2CjY0NfHx8YGdnJ/zAzrtjyNfXF5aWlqhfvz7u3bsHLy8vrFy5EpGRkaV6LKtWrYKnpydcXV1x+/ZtREdHC3fKlISLiwu2bNmCHTt24Pnz52jbti3+/PPPYj+TlpaGvn37okmTJvDy8sLq1atlHhWLioqChYUFVFRUcP36dfj6+mLr1q1ISkpCbm5uofW6ubmhdevWOHv2LAICAvDPP/8gIyMDXbp0QUJCAgDA0dERmzdvxqZNm+Dr64uePXuiX79+ePPmTZH5Pnz4ELt378bp06cRHx+P+fPnC9vu3bsHIhL6gY+PD1JSUvD06VOpOY5mz56NxMREPHjwAC4uLnB1dYWnp2fxjYtP6w+5ublwcnLC8OHDZbb9+eefiI6Oxps3b3D06FFUrFgRXbp0wfr164Uyn9L2n6K4ds1DRBgwYADKlSuHx48f48CBA1iyZIlUGbFYjB49eqBy5cp48uQJ/v77b9y8eRPTpk0D8GFutwYNGuCff/5BQEAA9u3bh507d2Lv3v/9A/rQoUOxf//+Ujs2VvoUPmP7txT89j0Ojo/HyRMnac2zTFrjmUVON19Su19bKTwnDg4ODg4ODsVHcW9i+hlj8eLFFBYWpvA8OH6s0NHRofj4eNLT01N4Lt96NGzYkKKjo6lChQoKz+VHDH77HmNMIYYOGwqtW1uglp2BaG1j2G4+jxkTxis6LcYYY4wxhbKzs0PLli1haGiIESNGYN68eXB2dlZ0WuwHExMTg3HjxhX7FkT2QY0aNTBy5EikpKQoOhVWBJ7onDH2SabNW4jp4wLQYMxqpGhUgd6ELdhpWh9TZ8vemssYY4wx9jMwNjbG0qVLUblyZYSFhWHTpk1Ys2aNotNiP6ALFy4oOoXvws2bNxWdAvsIvlOKMfbJth88hOMz+0I3MQDZqmWgZD4clSvJ/4paxhhjjLEfyezZs1GrVi2UK1cOJiYmWLVq1Rd9wxljjH3veFCKMfZZHjx9Cvv+bVA39AZeOi1FQlKiolNijDHGGGOMMfYd4Mf3GGOfLUUkwpABvaXW7d22GZcuu8LluquCsmKMMcYYY4wx9i3jO6UYY6VuncNSJFnYoevy41g2Z5ai02GMMcYYY4wx9g3iQSnGWKnz8w9AxfQ4pJetAC3b1Ti0e4eiU2KMMcYYY4wx9o3hQSnGWKlzPnMGOyZ0R+14X0hUVBHTaiJO/XMRKioqik6NMcYYY4wxxtg3ggelGGNfxIvXrzC+bxsYBl8DAAQb9sThq49hamyk4MwYY4wxxr5PLVq0wMyZM6GkpKToVBhjrFTwoBRj7IvJzMyC7cB+0Hm0DyqSHIRXbYLFixYqOi3GGGOMMYVzcHCAl5eX3OWrVq2Ks2fP4sWLFyCij5YPDg6Gvb3956T4Rbi7u2PLli2fVceoUaOQmFiyNz6Xxn5L06ccw5ewcuVK7N27V9FpSCEiWFtbF1vGyckJ586dK7ZMaZ5zU1NTvHv3DhoaGqVSH5NGHP8LLS0tIiLS0tJSeC4cHD9SLJszi06fu6LwPDg4ODg4ODi+XOjr69ORI0dIX19f4bmUJJycnKgwV69e/WL71NTUpMqVK0vlcO7cuULLKikp0dWrV2nUqFFy11+1alUqV67cF2+7hQsXUk5ODs2dO1eu8u7u7rRly5bP2mfZsmWpWrVqJfqMtrY2lS9f/qvlmD+Cg4PJ3t7+s4+htENHR4eSk5NJT09PWJf/WsjKyqLo6Gi6fv06jRkzhpSUlL5aXurq6gR8+E4hIjIzM5MqU6FCBapYseJXPY9nz56lpUuXKvScfWtR3He+vGMrfKcUY+yr+HPTFgwZ0EtYrl+3Hg7s3K7AjBhjjDH2rXGYCiy1K3zbUrsP27+Uq1evQldXVyqGDh36RfaloqKCtLQ0JCQkyFWeiGBlZQVnZ+ePllVTUwMAxMfHQywWf1ae8hg7dizWr1+PsWPHfvF95cnIyEBcXFyJPpOYmIjU1NRSzeNz5kv9lGMobePHj8eDBw8QFhYmtT7vWjAwMICVlRXc3d2xbds2XLp06avMERsTE4OsrKxiy6SkpCA5OfmL55Kfk5MT7OzseJ7cUsaDUoyxr05FRQV/7D6JuDaTcOriDVTQ0lJ0Sowxxhj7BkhygT9nyA5MLbX7sF6S++X2nZmZiZiYGKlISkoStjs4OCA0NBQZGRmIiIjAtm3bhG3q6upYu3YtwsLCkJGRgcDAQGGQxtLSEkSEnj174unTp8jMzES7du2kHt9zcHDA6NGj0b9/fxARiAiWlpYAgMaNG+PmzZtIT09HfHw89u7dC01NTWHfeY8xLV68GBEREXj9+jUA2cf36tSpg/Pnz0MkEiE5ORmnT59G9erVhe1NmzbFrVu3hB/7T58+RYsWLYptsw4dOqBcuXL4448/UKFCBbRp00Zqu4aGBpydnSESiRAZGYnZs2fL1BEcHIwlS5YI5UJCQtC3b19UrVpVyNfb21sql4KPvuW15YgRIxAcHIykpCScPHkS5cuXF8oUfJTLzs4OAQEBEIvFiI6OxtmzZ4X27NixI2bOnCmcC319/SLPY926dXH+/HlER0dDJBLh8ePH6NKli9R+DQwMsHXrVqG+gsdgbGwMIoKJiYlU28ycORNv3ryRau9Hjx4hIyMDkZGRWLNmjdQAycCBA+Hj4yP0lRs3bhT7uJmtrS1cXFxk1uddC5GRkfDy8sKaNWtgbW2NXr16YfTo0UK5ihUrYv/+/YiNjUVycjJu3ryJpk2bypyXMWPGIDQ0FCKRCDt37oSysjLmzZuHqKgoxMTEYPHixVL7z//4XkhICADg+fPnICK4u7sL5yn/43vy9LVKlSrB2dkZCQkJSEtLw5UrV2Bk9L/5bvX09HDx4kUkJCQgNTUVL168gJWVlbD9xo0bqFy5snBtstLBg1KMsa9OIpFAJTEYIEJwbUtsO/8QbVu2VHRajDHGGPtCNMoVHWXU/1du1W5g5a4PA1Arpn/YvmL6h+WVu4CNh+Srt7QNHDgQs2bNwqRJk2BsbIz+/fvD19dX2H7kyBEMHToUM2bMgKmpKSZNmiRzV87atWuxcOFCmJqawsfHR2rbxo0bcfr0aam7tR48eAANDQ24uroiMTER5ubmGDx4MLp27YodO3ZIfb5Lly4wMTFBt27d0KdPH5n8lZSUcOHCBeEHdbdu3VC3bl2cPn1aKHP8+HGEh4fD3NwcLVq0wNq1a5GdnV1su4wbNw4nT55ETk4OTp48iXHjxklt37BhAywtLWFtbY3u3bujY8eO+OWXX2TqmTVrFu7fv4/mzZvj8uXLOHr0KI4cOYJjx47hl19+QVBQEI4cOVJsLvXq1UP//v3Rp08f9OnTB5aWlli4sPC5TFu0aAFHR0f88ccfMDExQc+ePXH37l0AgL29PR48eIB9+/YJ5+Ldu3fCZwuex/Lly+PKlSvo0qULmjdvjmvXrsHFxQV16tQBANjY2ODdu3dYtmyZUF9BgYGBePLkCYYPHy61fvjw4Thx4gQAoGbNmrhy5QqePHkCMzMz2NnZYdy4cVi6dCkAQFdXFydPnsShQ4dgamqKjh074t9//y1yUnxtbW00bNgQT58+LbZd87i7u+P58+ewsbER1p09exbVq1eHlZUVWrRoAU9PT9y8eRPa2tpCmXr16sHKygo9e/bE0KFDMW7cOFy+fBm1a9eGpaUlFixYgNWrV+PXX38tdL/m5uYAPvRxXV1dqf3nJ09fO3z4MFq2bIl+/fqhTZs2UFJSwpUrV6CqqgoA2LlzJ8qUKYMOHTqgSZMmWLBggdR1nJ2djefPn6N9+/ZytRmTn8KfQ/yWgueU4uD4erFz83ra+FhEazyzaKdHJE0dO0bhOXFwcHBwcHB8ehQ1vwj5Fx2X9kjXkfqs6LLuztJlY+8XXq6keTs5OVF2djaJRCKpWLRoEQGgWbNm0atXr0hVVVXms8bGxkRE1KVLl0LrtrS0JCKifv36Sa13cHAgLy8vqRwKzik1fvx4ev/+PWloaAjrrKysKCcnh6pXry58LioqitTU1KQ+m38eo65du1J2djbVrl1b2G5qakpERC1btiQAlJycTCNHjpS7zbS0tCgtLY2aNm1KAMjMzIxSUlJIU1OTgA9zZmVkZNCgQYOEz2hra1NaWprUPD/BwcF05MgRYVlHR4eIiFasWCGsa9WqFRER6ejoEAAaNWoUJSYmSrVlamqq1JxR69ato4cPHwrL+ecXGjBgACUlJRU5x1RhcxEVdR4LC19fX5o6dWqh5yIvCh6Dvb09BQYGyvQrExMTAkCrVq0if39/qTrs7OwoJSWFlJSUqHnz5kREUvNDFRdmZmZERFJ9oqh+mBcnT56kly9fEgCysLCgpKQkYe6nvAgMDKQJEyYUeV6uXr1Kb9++lZqfyt/fnxYsWCAsExFZW1sTUPScUvnzlKevGRkZERFRmzZthDKVK1emtLQ04XPe3t70xx9/FNtu//zzDx06dEju6+RHD55TqoDg4GDhlsi8WLBggaLTYowVYers+Qg/OBta4gSkaFSF4aRt2L5+raLTYowxxthPyN3dHc2aNZOKPXv2APhwR0i5cuXw9u1b7Nu3D/379xcem2rWrBlycnJw586dYuuX946U/ExNTeHt7Y309HRh3f3796GioiL1qJevr2+xdzXlvTksPDxcWOfv74/ExESYmpoCADZv3owDBw7gxo0bWLBgAerWrVtsbkOHDkVQUJBw15e3tzdCQ0MxZMgQAB/ukClTpgwePXokfCYxMVF4vDC//HeOxcTECMdUcF3+xw0LCgkJkbqrJSoqqsjyN27cQGhoKN6+fYsjR45g2LBhKFdOvlvsCp5HTU1NbNiwAX5+fkhMTIRIJIKpqSn09PTkqi/PqVOnYGBggFatWgH4cJfUs2fPhPYyNTXFw4cPpT5z//59aGlpoXbt2vD29oabmxt8fX1x5swZjB8/HpUqVSpyf3nHm5GRIXeOSkpKwuOHZmZmKF++PN6/fw+RSCSEoaEh6tWrJ3ym4HmJiYmBn5+f1BskY2Jiij23HyNPXzM1NUV2drZUmYSEBLx+/Vq4BhwdHbF06VJ4eHhg+fLlaNKkicy+xGIxv4GvlP1Qg1IApG6L1NXVxfbtPJEyY9+yrXv349Qsa+gmBiJbrSyo3TjU0q2p6LQYY4wxVoo0fyk6Bs6QLlu93YdH9QAg8//nOl6560NZq4nSZQ26Fl7np0hLS0NQUJBU5M35Ex4eDhMTE0yZMgVisRi7du3C3bt3oaqqKvdk4mlpaZ+W2Feqe8WKFWjUqBEuX76Mzp07w8/PD/379y+y/Lhx49CoUSNkZ2cL0bBhw0+a8LywAbX86/IGMJSVi/75WrAOIiqyfGpqKn755RcMHToUUVFRWLlyJby9vVGxYsWP5lqwrTdu3IgBAwZg8eLFaN++PZo1awZfX1+oq6sXUUPhYmJicOvWLQwbNgwAMGzYMBw/flzuz+fm5qJbt26wsrKCn58fpk+fjtevX8PAwKDQ8vHx8QAg9ajdx5iamiI4OBgAUL58eURFRckM5JqYmGDDhg3CZwo7LyU5V1/TwYMHUbduXRw9ehRNmjTB06dPMW3aNKkylStXVvgE9T8axZ/5UiYSiaQmJ8z/rwqMsW+Tx+NHmDOwHQzfueP9v2sRER2p6JQYY4wxVorSxUVHZoGXbM0eDfwxBVjmCJQ1+/DfP6Z8WJ+RKV+9X0JGRgYuXboEe3t7dOzYEW3btkWTJk3g6+sLZWXlz578OCsrS+atXv7+/jAzM5O6M8PCwgISiaTQO46K4u/vjzp16qB27drCOlNTU2hra8PPz09YFxgYiK1bt6JHjx74999/MWbMmELra9y4MVq2bImOHTtKDUh07NgRbdq0gYmJCYKCgpCVlSXc+QN8mGi6fv36cuf9JUkkEty8eRMLFixA06ZNYWBggM6dOwMo/FwUxcLCAocPH8b58+fx4sULREdHywwEyVvf8ePHMWTIELRu3Rp169bFqVOnhG3+/v4yE8lbWFggJSVF6g64Bw8eYPny5WjevDmysrIwYMCAQvcVFBSE5ORkNGzYUK7j7NSpE5o2bYp//vkHAODp6QldXV3k5OTIDOa+f/9erjrlkfcWvuLaT56+5u/vDzU1NakylStXhomJidQ1EB4ejr1792LgwIHYtGkTJkyYILWvxo0bCy8oYKXjhxuUWrhwIeLj4+Hp6Ym5c+d+9OJXV1eHlpaWVDDGvr6EpETYWvfAio2bhHWbV/+Jnp06KTArxhhjjH1NeW/ZW+b4YdJz4MN/lzkW/la+0lSmTBno6OhIRZUqVQB8eFPa2LFj0ahRIxgaGmLEiBFIT09HaGgoQkND4ezsjEOHDsHa2hoGBgawtLTE4MGDS7T/kJAQNG3aFPXr10eVKlWgqqqK48ePIyMjA87OzmjUqBE6duyI7du34+jRo4iNjZW77rzHuo4fP47mzZvD3NwcR44cwe3bt/Hs2TOULVsW27dvh6WlJfT09NC2bVuYm5vD39+/0PrGjRuHx48f4969e3j58qUQ9+7dw5MnTzBu3DikpaXh4MGD2LBhAzp16oRGjRrh8OHDyM39gq9QlFPv3r0xffp0mJmZQU9PDyNHjoSysrIw0BcSEoJWrVpBX18fVapUKXKycODDQJ6NjQ3MzMzQtGlTnDhxQuaun5CQEHTo0AE1a9YU+lRh/v33X2hpaWH37t1wd3dHVFSUsG3Xrl2oU6cOtm/fDhMTE/Tr1w8rVqzA5s2bQUT49ddfsWjRIrRo0QJ16tSBjY0NqlWrVuQ5JCK4ubmhXbt2MtvyroWaNWuiefPmWLRoES5cuAAXFxdhwnk3Nzc8fPgQ58+fR7du3aCvr482bdpg1apVH31rY0nExsYiPT0dPXv2RPXq1VGhQgWZMvL0tTdv3uD8+fPYv38/LCws0LRpUxw7dgwRERG4cOECAGDLli3o3r07DAwM0Lx5c3Tq1Emq/fT19VGrVi24ubmV2vGxH2xQytHREba2tujUqRP27t2LxYsXY/369cV+ZtGiRUhJSREiIiLiK2XLGCvO/GlTIek+G71Wn8GSmfaKTocxxhhjX4GKsvSAVJ68gSmVL/jrxcrKCtHR0VLh4eEBAEhKSsKECRNw//59+Pj4oGvXrujbty8SEhIAAHZ2dvj777+xa9cuvHr1Cvv374empmaJ9r9//368fv0aT58+RXx8PCwsLCAWi9GjRw9UrlwZT548wd9//42bN2/KPFIkD2trayQmJuLu3btwc3PD27dvhfmfJBIJqlSpgiNHjiAgIABnzpzB1atX4eDgIFOPmpoaRowYIdwxU9A///yDkSNHQlVVFfPmzcO9e/fg4uICNzc3eHh44NmzZyXOvbQlJSXBxsYGt27dgr+/PyZPnoyhQ4cKd8xs3LgREokEfn5+iI+PL3Z+qNmzZyMxMREPHjyAi4sLXF1d4enpKVXmjz/+gIGBAYKCgoTH5gqTmpoKFxcXNGvWTObRvcjISPTq1Qu//vorvL29sWfPHhw8eBCrVq0CAKSkpKBDhw64cuUKAgICsGrVKsyZMwfXrl0rcn8HDhyAra2tzKBb3rUQEhKCa9euoVOnTpgxYwasra2lBnp69eqFu3fvwsnJCQEBATh16hT09fWFOcBKg0QiwYwZMzBp0iRERkYKA0gFydPXxowZg2fPnuHSpUt4+PAhlJSU0KtXL+Tk5AD4cDfWzp074e/vj2vXriEgIABTpkwRPj906FBcv34dYWFhpXZ87AOFz9heXKxZs4Y+Ju+NBAVjzJgxlJWVJfNGgPyhrq5OWlpaQtSsWZPfvsfB8Q3E6CFDaPfdd7TGM4vWP0mjAzsdFZ4TBwcHBwcHR/FR3JuYODg4vr149OgR2draKjyPbz3U1NQoJCSE2rZtq/BcvqUojbfvqeIbt2nTJhw+fLjYMm/fvi10/aNHj6CmpgYDAwMEBAQUWiYrK0t4TpUx9u04fPo0vHx8MWfbcURUbYS4NpNx6m89DB8yEBKJRNHpMcYYY4wx9t2bOHFioW+ZY9L09PTw119/4cGDB4pO5YfzzQ9KxcfHF3uLY3GaNWsGiURSouetGWPfDm9/P0zo2wrOJ/9FsEF3BNftBecr/2GlnS0C3gYpOj3GGGOMMca+a97e3vD29lZ0Gt+8vEncWen7YeaUat26Nezt7dG0aVMYGhpi2LBh2LJlC44dO4akpCRFp8cY+0SZmVmwtemDGk8PQVmSg3fVzLDizz8VnRZjjDHGGGOMsc/0zd8pJa/MzEzY2tpi+fLlKFOmDIKDg7FlyxZs3rxZ0akxxkrB6ImTsWJBEOp36IPRY0crOh3GGGOMMcYYY5/phxmU8vLyQps2bRSdBmPsC3JYtwFYt0FYrlxJG6v/WAK72XMVmBVjjDHGGGOMsU/xwzy+xxj7+ew89i+SOs7AqQuu0NDQUHQ6jDHGGGOMMcZKgAelGGPfLaXUDy9BCK7TCbsu/ocWZs0UmxBjjDHGGGOMMbnxoBRj7LtlazsY2nd3QDUnC1GVG2DsziuYNHKkotNijDHGGGOMMSYHHpRijH3XJs+cjWinuSgvTkSKRlXUn7oD29b+pei0GGOMMcYYY4x9BA9KMca+e5t278G/82ygkxSELLWykHScgsYmDRSdFmOMMcYYY4yxYvCgFGPsh+D+4D7m2rSFQcQ9KLvvwIvXrxSdEmOMMcZYsfT19UFEMDMz+6L7GTt2LFxdXb/oPkoqODgY9vb2xZZxcHCAl5dXsWWcnJxw7ty5UsmpSpUqiImJQa1atUqlPsbYx/GgFGPsh5GQlIihfbtg5qKlwroVC+ahu2UnBWbFGGOMMXkt7NgR8zp0KHTbvA4dsLBjx1Lf58WLF3H16tVCt7Vr1w5EhCZNmpT6fr+WMmXK4M8//8SKFSuEdQ4ODiAiEBGys7MRFxeHO3fuwN7eHurq6l8lL3Nzc+zbt09YJiJYW1tLldm4cSO6dOnyVfIBgPfv3+PIkSNSbcUY+7J4UIox9sMaO3QYytssRd+/TmP+tKmKTocxxhhjHyHJzcWSzp1lBqbmdeiAJZ07Q5KbW+r7PHjwILp161bo3TFjxozBkydP4OvrW+r7/VoGDRqElJQUPHjwQGr9ixcvoKurCz09PXTq1Alnz57FokWL8ODBA5QvX/6L5xUfHw+xWFxsmbS0NCQkJHzxXPJzcnLC8OHDoa2t/VX3y9jPigelGGM/NI0sEVLLVUK1keuwz3GLotNhjDHGfkoaampFRhlVVaHchrt3sf7OHSzp3BmLO3WChpoaFnfqhCWdO2P9nTvYXmBgpag6S+LSpUuIi4vD6NGjpdZrampi8ODBOHjwIADAwsICd+/eRXp6OsLCwrBt2zZoaGgI5YODg7Fo0SIcPHgQKSkpCA0NxYQJE6TqNDc3h6enJ8RiMZ48eYLmzZtLbVdWVsaBAwfw9u1bpKen49WrV5gxY4ZUGUtLSzx69AipqalITEyEh4cH9PT0ijw+W1tbuLi4yKzPyclBTEwMoqKi8OLFC+zYsQOWlpZo3LgxFixYIJRTV1fHhg0bEB4ejtTUVPz333+wtLQUto8aNQqJiYno3bs3Xr16hbS0NJw9exblypXDyJEjERwcjISEBGzbtg3Kyv/7+Zn/8b3g4GAAwPnz50FEwnLBx/eUlZWxadMmJCYmIj4+HuvWrYOSkpLUcamrq2Pbtm2IiYmBWCzGvXv30LJlS2F7pUqVcOzYMcTGxiI9PR0BAQFS597Pzw+RkZEYMGBAkW3KGCs9qh8vwhhj36dDJ0/A64UvZm4+isgqDfG+3VScOqOP4UMHQyKRKDo9xhhj7KcRuWRJkdtcAwIw5MQJYXlqmzYAgPmWlpifb/BjvqUl2urro8/hw8I6n5kzUfX/2LvvsCiuNgrgZ1maSxFREVBARVSMRmOJsQWNvcSGBXtv0Vhi7yUq9hZ7F6MCxq6xRY1dE2tQrEhHEJSOtGW+P/yyERXdxYXLwvk9z33C3Lkze3bAuL7cuWNi8t45LWbNUjubUqmEh4cH+vbti3nz5qn6O3fuDLlcjj179qBs2bI4ceIEpk2bhv79+6N48eJYvXo1Vq9ejf79+6uOGTt2LKZPn4758+ejU6dOWLduHc6fP4/Hjx/DxMQER48exenTp9GzZ0+UKVMGK1euzJRFT08PISEh6Ny5M16+fIm6deti48aNeP78Ofbu3Qu5XI6DBw9i06ZN6NatGwwNDfH1119DkqQs31/9+vWxc+dOta7Fo0ePcPz4cXTs2BHTp08HAKxevRqVKlWCm5ubqlhz4sQJVKlSBU+fPgUAKBQKjBw5Em5ubjAzM8P+/ftx4MABxMTEoFWrVihbtiz27duHy5cvw9vb+73XrVWrlqoweOLEiSw/p40dOxZ9+/ZF//798eDBA4wdOxYdOnTA2bNnVWMWLVoEV1dX9OnTB4GBgZgwYQJOnjyJcuXKITo6Gj///DMqVaqEli1bIioqCuXKlUOhQoUyvc5ff/2FBg0aYOvWrWpdNyLKPs6UIqJ87baPD4a1q4uygacBAP7l2mDHsStwtHMQnIyIiIjyiq1bt6JcuXKZZgD169cP+/btQ1xcHCZPnoxdu3Zh5cqVePr0Ka5evYqRI0eid+/eMDIyUh3z+++/Y926dfDz88PChQsRFRWFRo3erG3ZvXt36OnpYcCAAfD19cWxY8ewePHiTDnS09Mxa9Ys3Lx5EwEBAdi9eze2bduGLl26AADMzc1hYWGBo0eP4tmzZ3j48CE8PDwQHBz8wfdVuHBhWFhYICwsTO1r8fDhQ5QuXRoAYGdnh379+qFz5864dOkSnj17hqVLl+LSpUvo16+f6hhDQ0MMGzYMd+7cwcWLF/Hbb7+hfv36GDBgAB48eIBjx47h3LlzqmvxrqioKABATEwMIiIiVNvvGj16NNzd3XHgwAE8fPgQQ4cORWxsrGq/QqHAsGHDMH78eJw4cQIPHjzAoEGD8Pr1awwYMAAAYG9vj9u3b+PmzZsIDAzEmTNncPTo0UyvExYWBgcHflYkyg2cKUVE+V5SUhK6dmiNHZs2IPyr3gi2+grzli6HW5eOoqMREREVCLZvzUB6l/KdWT5OixdjdP36mODigpT0dBjp62PR+fNYcekSMt4Z++WKFVrJ9+jRI1y+fBn9+/fH+fPn4ejoiG+//RYN/7+wetWqVfHll1+iR48eqmNkMhnkcjnKlCmDhw/fPPX3n3/+yXTe8PBwWFlZAQCcnZ3xzz//ICUlRbX/6tWr72X54Ycf0L9/f9jb26NQoUIwNDTEnTt3AADR0dHYtm0bTp48idOnT+OPP/6At7c3wsPDP/i+/p0BlJycrPa1kMlkqplXVapUgb6+Ph4/fpxpjJGREV6+fKnaTkxMxLNnz1TbERERCAgIQGJiYqa+f69Fdpibm8PW1hbXr19X9SmVSty4cUN1C5+joyMMDQ1x+fJl1Zj09HT89ddfcHZ2BgCsW7cO+/btQ/Xq1XHq1CkcPHjwve/D69evM92aSUQ5hzOliKjA6DNoCFL3z4Zd5F38+MOgTx9AREREWpGUlpZlS0lPzzR2eJ06mODignlnz6LE3LmYd/YsJri4YHidOkh+Z2xW58yOLVu2wNXVFaampujXrx+ePn2K8+fPAwBMTU2xYcMGVKtWTdWqVq2KcuXKwc/PT3WOtHdeW5KkTOsofUrXrl2xZMkSbNmyBc2aNUO1atWwbdu2TE/E69+/P+rUqYMrV66ga9euePz4MWrXrv3B8718+RIZGRkaLdrt7OysWtPJ1NQU6enpqFGjRqb37uzsrFoPKqv3/bnXIqecOHECDg4OWL58OWxtbXHmzJn3ZqxZWloiMjJSUEKigkX8/xWIiHLR9PkL0LN5LURGvfntnpGRIVa4zxWcioiIiID/nrI37+xZLL5wAcCbxc/nnT37wafyaZO3tzcyMjLQvXt39O7dO9N6Qrdu3UKlSpXg5+f3Xnu3+JKVBw8e4Msvv8x0u98333yTaUy9evVw5coVrFu3Dnfu3IGfnx8cHR3fO9edO3ewYMEC1KtXD/fu3UP37t0/+JppaWnw9fVFpUqV1MpYoUIFtGjRAvv27QMA3L59G/r6+rCysnrvfUdERKh1TnWlpqZCLpdnuT8uLg5hYWGZCnByuRw1atRQbfv5+SElJQX16tVT9enr66NWrVrw9fVV9UVFRcHDwwO9evXC6NGjMXjw4EyvVbly5UwLrBNRzmFRiogKNI/dv+F18wnwOvA7p2kTEREJJtfTy1SQ+te/hSl5Ds60SUxMhJeXF9zd3WFjY4Ptby2ovnDhQtStWxe//PKLaoZU27Zt8csvv6h9/t27d0OSJGzatAnOzs5o2bIlxo0bl2nMkydPULNmTTRr1gxOTk6YM2cOatWqpdpfunRpzJ8/H9988w3s7e3RtGlTODk54cGDB1m+7smTJ1G/fv33+vX19VGiRAnY2NigcuXKGDFiBM6fP487d+6oZg49efIEv/76Kzw8PNChQweULl0atWrVwqRJk9CqVSu137s6AgIC0LhxY5QoUQIWFhYfHLNy5UpMmjQJ7dq1Q4UKFbB27dpMY5OSkrBu3TosXrwYzZs3h7OzMzZt2gSFQqF6iuLs2bPRtm1bODo6olKlSmjTpk2m61eoUCHUqFEDp06d0ur7I6IP45pSRFSgSco3v9185tAE6w5dwYqfeuG2j4/gVERERAXTgj//zHLfu4WqnLBlyxYMHDgQx44dw/Pnz1X9Pj4+cHFxwbx583Dx4kXIZDL4+fnBy8tL7XMnJibi+++/x/r163H79m34+vpi4sSJ2L9/v2rMhg0b8NVXX8HLywuSJGHPnj1Yu3YtWrZsCeBN0aVixYro06cPihYtiufPn2PNmjXYsGHDR9/TjRs3YG5ujri4OFV/5cqVER4ejvT0dMTGxsLX1xfu7u5Yt24dUlNTVeP69euHadOmYenSpShZsiSioqJw7dq19xYH/1xjx47FsmXLMGjQIISGhqJMmTLvjVm6dClsbGywY8cOZGRkYOvWrThw4AAKFy6sGjNp0iTo6elh586dMDMzw40bN9C8eXPExMQAeDMjy93dHaVLl8br169x8eJFuLm5qY5v164dgoKCcOnSJa2+PyLKmsT2XzMzM5MkSZLMzMyEZ2FjY8udtnHVcmnx34mS+61Uad3FEGlgj+7CM7GxsbGxselic3BwkDw8PCQHBwfhWdj+a97e3tKkSZOE59CFdvXqValbt27Cc7Cx6UL72P/z1a2t8PY9IirwBo8cg8gdE2D6OgYxJlZwHrkOy+f9LDoWERERkVaMHz8eCQkJomPkeUWLFsX+/fuxZ88e0VGICgwWpYiIACxavQYHJ3WCVYw/Ug0KQdl0NOrWrCk6FhEREdFnCwwMxOrVq0XHyPNevnz53pP4iChnsShFRPR/Zy5ewKQudVE67Aos/t6GKzduiI5ERERERESUb3GhcyKit0RGvUS3Ng0z9Y0eMgh3fXxx7splMaGIiIiIiIjyIc6UIiL6iNZNmqBMn/nouHg/xg4bKjoOERERERFRvsGiFBHRR5QobgUDZSoSChWBdb8lWL98qehIRERERERE+QKLUkREH7F1z25sGdEaNq8eIl3fENEuP8LTa6/oWERERERERDqPRSkiok+4efcOfmj7DcoEnQUA+Du1w67jV+FgZyc4GRERERUkNWrUwOjRoyGTyURHISLSChaliIjUkJSUBLf2LVDy9g7oZSgRVKIGFq1cJzoWERER6aiZM2fi9u3bao8vVqwY9u7di3v37kGSpE+O9/f3x6hRoz4nos5ycHCAJEmoWrVqjr9W//79cfLkyRx/HU2o871X5+dv27ZtOHDggFYyFS1aFBEREShZsqRWzkf5i8T2XzMzM5MkSZLMzMyEZ2FjY8ubbf60KdL2P3wkZ6dywrOwsbGxsbHlpebg4CB5eHhIDg4OwrNo0rZt2yZ9yPHjx3PsNU1MTCRLS8tMGQ4cOPDBsTKZTDp+/LjUp08ftc9frFgxqVChQp+VMStdu3YV/j372HXT09OTSpQoIcnl8hx9bSMjIyk0NFSqW7euqm/mzJmq65SWliZFRkZK58+fl0aNGiUZGhrmyjV593svSZLUrl27j/78qXttP6ctXrxY2rx5s/CfGTbttY/9P1/d2oo+iIhII1Pmzgfmzs/UN3/alDf9RERElG2Nh0yHpFTi7Ob3/079buAUyORynNnwc4689vHjx9GvX79MfSkpKTnyWnK5HImJiUhMTFRrvCRJaNmypVpjDQwMkJaWhqioqM+JqNK3b1+cOHEiU19MTIxWzp1TMjIyEBERkeOv06lTJ8TFxeHKlSuZ+u/du4cmTZpAT08PRYsWRcOGDTFt2jT06tULDRs2REJCQo7mUud7r8nPn7Zs27YNN2/exPjx4xEdHZ2rr015F2/fIyL6THt27Yas4yx47j8KIyND0XGIiIh0lqRUoukPs/DdwCmZ+r8bOAVNf5gFSanMsddOSUlBREREpvZ28WXmzJkIDAxEcnIyQkNDsXLlStU+Q0NDLFiwAEFBQUhOTsaTJ0/Qv39/AICLiwskSUKLFi1w48YNpKSkoH79+plun5o5cyb69u2L9u3bQ5IkSJIEFxcXAEDlypVx5swZJCUlISoqChs2bICJiYnqtf+9xWrKlCkIDQ3Fo0ePALx/C5ednR0OHjyI+Ph4xMbGwsvLC1ZWVp+8LjExMe9dl3+LdVu2bMHdu3dhaPjm84+BgQFu3bqFHTt2qI5v27Ytbt68idevX8PPzw8zZsyAXC5X7S9cuDDWr1+P8PBwvH79Gj4+PmjdurXqurx7i9moUaPg7+//0ev29u17MpkMwcHBGDp0aKbzVKtWDUqlEvb29tm+Pm5ubjhy5Mh7/enp6YiIiMDz589x7949rF69Gi4uLqhcuTImTpyoGmdoaIjFixcjJCQECQkJuHbtmur7DgB9+vRBdHQ0WrdujYcPHyIxMRF79+5FoUKF0Lt3b/j7++PVq1dYuXIl9PT++6f929/7f6/VwYMHIUlSpmv39rXV09PD0qVLER0djaioKCxcuPC9tcsMDQ2xcuVKRERE4PXr17h48SJq1qyp2m9hYYFff/0VL168QFJSEh4/foy+ffuq9vv6+iIsLAwdOnT46HWlgoVFKSKizyQzMAYA+Jduhk1HrqOqcyXBiYiIiPIWA2NFlk3f0Eg17uzm+TizcR6a/jALTYbOhIGxAk2GzkTTH2bhzMZ5uLBzmVrn1TZXV1eMGTMGQ4YMgZOTE9q3bw8fHx/Vfg8PD3Tr1g0jR46Es7MzhgwZ8t5smAULFmDSpElwdnbGP//8k2nfkiVL4OXlhePHj8Pa2hrW1ta4cuUKFAoFTp48iejoaNSqVQudO3dGkyZNsHr16kzHN27cGBUqVEDTpk3Rpk2b9/LLZDIcOnQIlpaWcHFxQdOmTVG2bFl4eXl91nUZOXIkTExMsGDBAgDAvHnzYGFhgREjRgAA6tevDw8PD6xcuRKVKlXCkCFD0LdvX0ydOlWV6/jx46hXrx569uyJSpUqYdKkSVCqWXzM6rq9TZIk7NmzB927d8/U36NHD1y+fBlBQUHZvj7169fHjRs31Mr66NEjHD9+HB07dlT1rV69GnXq1IGbmxu+/PJL7N27FydOnEC5cuVUYxQKBUaOHAk3Nze0aNECDRs2xIEDB9CqVSu0atUKvXr1wpAhQ9CpU6cPvm6tWrUAvJnxZm1trdp+19ixY9G3b1/0798f9evXh6Wl5XvFo0WLFsHV1RV9+vRB9erV8fTpU5w8eRJFihQBAPz888+oVKkSWrZsCWdnZwwbNuy9WVt//fUXGjRooNY1o4JD+H2IealxTSk2NrbstM2rV0mL/06U3G+lSusuBEt989BaC2xsbGxsbLnVslpfxP1Wapatz8qDmcbOvhyd5dhBG09nGjv1TOgHx2mae9u2bVJaWpoUHx+fqU2ePFkCII0ZM0Z6+PChpK+v/96xTk5OkiRJUuPGjT94bhcXF0mSJKlt27aZ+mfOnCndvn07U4Z31+8ZOHCg9PLlS0mhUKj6WrZsKaWnp0tWVlaq454/fy4ZGBhkOtbf318aNWqUBEBq0qSJlJaWJpUqVUq139nZWZIkSapZs2aW10WSJCkpKem962JnZ6ca880330gpKSnS7NmzpdTUVKlevXqqfadPn5YmTZqU6Zw9evSQQkNDJQBS06ZNpfT0dMnJyemDr//uNQIgjRo1SvL39//odXNwcJAkSZKqVq0qAZCqVq0qKZVKVW6ZTCYFBwdLQ4YMyfb1KVy4sCRJklS/fv1PZlb9OXB3lxITEyUAkp2dnZSWlibZ2NhkGnP69Glp3rx5EgCpT58+kiRJUtmyZVX7161bJyUkJEgmJiaqvuPHj0vr1q374Pf+3+/ju2tKvZszNDRUGjdunGpbLpdLQUFBqmurUCiklJQUqVu3bqox+vr6UkhIiOq4Q4cOSVu2bPnon7WlS5dKZ8+e1fjPKFvebNpYU4ozpYiItGDgiJF49eskmCTHIsa0BL4cswFL5swSHYuIiIjUdO7cOVSrVi1TW79+PQCobpl69uwZNm7ciPbt26tuQatWrRrS09Nx/vz5j55f3Rk1b3N2dsbdu3eRlJSk6rt8+TLkcjkqVKig6vPx8UFaWtpHzxMcHIyQkBBV34MHDxAdHQ1nZ+ePZhgzZsx71yUsLEy1/9q1a1iyZAlmzJiBpUuX4vLly6p9VatWxYwZMxAfH69qmzZtgq2tLQoVKoRq1aohJCQET5480ei6aOru3bt48OCBaraUi4sLrKyssHfvXgDZuz6FChUCACQnJ6udQyaTqZ6cWKVKFejr6+Px48eZro+LiwscHR1VxyQmJuLZs2eq7YiICAQEBGRaDyoiIkKtWzGzYm5uDltbW1y/fl3Vp1QqM/3MOjo6wtDQMNP3Nz09HX/99ZfqGq1btw5ubm64ffs2Fi5ciDp16rz3Wq9fv4ZCof3ZjKS7uNA5EZGWuK/8BS3+uYdOMzYgsnBpyFuOR4tz53Hi3DnR0YiIiISaUdciy31SRuZbteY2LgmXvuPRePBUpKemQN/QCGc2zsP57YshSRmZxi5q7aS1jImJifDz8/vgvpCQEFSoUAFNmjRB06ZNsXbtWowfPx4uLi54/fq12ufPKTl57vDw8CyvC/Cm0FKvXj2kp6dnuu0MAExNTTFz5kzs37//veOSk5M/ee0yMjLeW9fIwMBAg/T/2bVrF7p3746FCxeie/fuOHHiBF69epWtcwHAy5cvkZGRobp1TR3Ozs6qNZ1MTU2Rnp6OGjVqvHe74tu3fr5bbJQk6YN9b68pJcqJEyfg4OCAVq1aoWnTpjhz5gzWrFmD8ePHq8ZYWloiMjJSYErKa8T/5BIR5SMnzp3D9K4N4PD8Omzve7MgRUREBCAtOSnLlp6a+Ql3DXqORuPBU3F67SxM/8YMp9fOQuPBU9Gg52ikpySrdd6ckJycjKNHj2LUqFFo2LAh6tatiypVqsDHxwd6enqZFqjOjtTU1EwLgANvZutUrVo108ySevXqQalUqhY0V8eDBw9gZ2eHUqVKqfqcnZ1RpEgR+Pr6flbu8ePHo2LFinBxcUGLFi0yLWx969YtVKhQAX5+fu81SZLwzz//oFSpUnBy+nBxMTIyEtbW1pn6qlWrlmn7Q9ftQ3bv3o3KlSujevXq6NSpE3bt2qXal53rk5aWBl9fX1SqpN5aohUqVECLFi2wb98+AMDt27ehr68PKyur966Ntp8c+KlrFBcXh7CwMNSuXVvVJ5fLUaNGDdW2n58fUlJSUK9ePVWfvr4+atWqlekaRUVFwcPDA7169cLo0aMxePDgTK9VuXLl9xavp4JN45lSxsbGkMlkqqq2vb09OnToAF9fX5w+fVrrAYmIdM3zFxHo3jrzAo59unSBX0AgLv11PYujiIiI6N+n7J1eOwtnN88HANV/m/4wK9O2thkZGaFEiRKZ+tLT0/Hy5Uv06dMHcrkc169fR1JSEnr27ImkpCQEBgbi1atX2LFjB7Zu3YqRI0fi7t27cHBwyHR7mDoCAgLQvHlzlC9fHi9fvkRsbCx27dqF2bNnY8eOHZg1axaKFy+OX375BTt37sSLFy/UPvcff/wBHx8f7Nq1C6NHj4a+vj7Wrl2LP//8Ezdv3vzosRYWFu9dl/j4eCQlJaFatWqYM2cOOnXqhCtXruCnn37CypUrcf78efj7+2POnDk4evQogoKC8NtvvyEjIwNVq1ZF5cqVMX36dFy4cAEXLlzAvn378NNPP+Hp06eoWLEiJEnCyZMn8eeff6J48eKYMGECfvvtN7Ro0QItW7ZEXFzcR6/bhwQGBuLKlSvYsmUL5HI5Dh8+/NnX5+TJk6hfv36mJzECb4o1JUqUgJ6eHooWLYqGDRti2rRpuHPnDhYvXgwAePLkCX799Vd4eHhg7NixuH37NooXL47GjRvjn3/+we+///7R74smAgIC0LhxY1y+fBkpKSmZnir5r5UrV2LSpEl48uQJHj58iJ9++gkWFhaq/UlJSVi3bh0WL16MV69eISgoCBMmTIBCocCWLVsAALNnz8bNmzdx//59GBkZoU2bNnjw4IHqHIUKFUKNGjUwZcqUd1+eCjiNFrI6efKkakG4woULS8+fP5eCgoKkpKQkaejQocIX2vrcxoXO2djYtN1qVK0mrb0YKq2+9FwaOWig8DxsbGxsbGw51T626K06rfGQ6dJ3A6d8cN93A6dIjYdMz5Hc27Ztkz7kwYMHEgCpXbt20tWrV6WYmBgpPj5eunLlivTdd9+pjjcyMpKWLl0qhYaGSsnJydLjx4+lvn37SsB/C50XLlw402u+u9B0sWLFpJMnT0pxcXGSJEmSi4uLBECqXLmydObMGSkpKUmKioqSNmzYkGmR6w8t9A28v9i1nZ2ddPDgQSk+Pl6KjY2VvLy8VIulZ9WyMnHiRMnIyEi6d++etH79+kzHHDx4ULp06ZKkp6cnAZCaNWsmXbp0SUpMTJRiYmKka9euSQMH/vd5qEiRItKWLVukyMhIKSkpSfrnn3+kVq1aqfYPGTJECgwMlOLj46Xt27dLkydPzrTQ+Yeu27sLnf/bhg4dKkmSJG3fvv2995qd6+Ps7CwlJiZK5ubmmb6v/0pLS5OioqKkCxcuSKNGjZIMDQ0zHa+vry/NmjVLevbsmZSSkiKFhoZK+/btkypXriwBbxY6j46O/ujPzYd+Bt793rdp00Z6/PixlJqaqrp2755HLpdLy5cvl2JiYqRXr15JS5YskbZv357pvEZGRtLKlSulFy9eSK9fv5YuXryYaSH4qVOnSvfv35cSExOlqKgo6cCBA1Lp0qVV+93c3FR/ptjyR9PGQufQ9EUjIyOlSpUqSQCkAQMGSHfu3JFkMpnUqVMnydfXV/hF+dzGohQbG5u2W9+uXaU1l8Ik91up0pK/4qW1yxYLz8TGxsbGxpYT7XOLUmxsuta8vb3fe8Ig24fb1atXMz29j033m5Cn7ykUCsTHxwMAmjVrhv3790OSJFy7dg0ODg6ano6IKN/b7uWFXaPbwubVI6TpGyHWZST2eHqJjkVEREREn2n8+PGZFianDytatCj279+PPXv2iI5CeYzGRamnT5+iffv2KFWqFJo3b45Tp04BAKysrDLd20tERP+5cuMGRnaoizLBfwIyGQLKd8Cu3y+jpLWt6GhERERElE2BgYFYvXq16Bh53suXL1XraRG9TeOi1Jw5c7BkyRIEBATg+vXruHbtGoA3s6a4ij4RUdbi4uPh1q4ZSt3ZCb0MJYKsa2Hpxh2iYxEREREREQmh8dP39u3bB3t7e9jY2ODu3buq/jNnzuDAgQNaDUdElB/16j8A7jP8Uey7vlg3f4boOEREREREREJoPFMKACIiInDnzh1IkqTq+/vvv/Ho0SOtBSMiys8mz5mLQQ3L4fy1q6q+iSNHCExERERERESUuzSeKQUANWrUQJcuXWBvbw9DQ8NM+1xdXbUSjIioINmxaQPCavSDl0sz9O7eCSkpqaIjERERaezfX1rL5XLBSYiIKKfp678pKb09YUlTGs+U6tq1K65cuQJnZ2d06NABBgYG+OKLL/Ddd98hNjY220GIiAoyo8LFAQDPyrTApiNXUblCRcGJiIiINPfvU7qtrKwEJyEiopxWseKbf7NERUVl+xwaz5SaMmUKxowZg7Vr1yIuLg6jRo2Cv78/NmzYgOfPn2c7CBFRQebWpSO2rF2Nl7X6I7RYFYzYdAqXV47Bzn37REcjIiJSW0xMDB4+fIguXbrg1atXSElJER2JiIi0TF9fHxUrVkSXLl3w559/IikpKdvnkgHQaJ5VQkICvvjiCwQGBiIqKgoNGzbEvXv3ULFiRZw9exa2trr9eHMzMzPExcXB3Nxc9ZseIqLcMvWn0bDqNA1JxuYwSk1C2ollmDhrjuhYREREaitevDjmzZsHY2Nj0VGIiCgH/fnnn9i2bdsHb99Tt7ai8Uyp6OhomJmZAQBCQ0NRuXJl3Lt3DxYWFlAoFJqejoiI3jJv2Qq0/uceOkxdh8jCDtBrMxld7/jA6yCfbkpERLohMjISP/zwA6ytrbm2FBFRPiRJEqKioj5rhtS/NC5KXbhwAU2bNsW9e/ewd+9erFy5Et999x2aNm2KM2fOfHYgIqKC7tgff+DOPRcs3roXegnhmMiCFBER6Zj09HSEhISIjkFERHmcxrfvFSlSBMbGxnj+/DlkMhkmTJiAunXr4smTJ5g7dy5iYmJyJmku4e17RJRXfd+sOV6+eokrN26IjkJERERERJQldWsrGhel8jsWpYgoL3Kws8O0nX8iVV8B361TsGbrNtGRiIiIiIiIPkira0r9u4aUOljIISLSvm+//hopBiaIL2SJMkNWYrVzBYwYP0l0LCIiIiIiomxTa6aUUqn84GrqH6Kvr/EyVXkKZ0oRUV5V/+vaGOC+FeFFnABJgk30Ixi9fIRuXTu/N9bTay8gk8OtS0cBSYmIiIhIU57e+wFJCTd+tqN8QN3aip46J2vUqBG+++47fPfdd+jfvz9evHiBRYsWoUOHDujQoQMWLVqEiIgI9O/fX2tvgIiIMrv013WMda2PMiEXAJkMzy0rIsCpHTy992Ua5+m1F/5O7QBJKSgpEREREWlMUsLfqd2bAtRb+NmO8jON15T6448/sHnzZnh6embq79atGwYPHoxGjRppM1+u40wpItIFv27fhpDK3SDpvfndQpknh+DWtbPqQ8u/20RERESkO979LMfPdqSrcmyh88TERFStWhVPnz7N1O/k5IQ7d+7AxMQkW4HzChaliEhXLJkzCyYNB6DIy3/g79AUesp0ZMj1+aGFiIiISIf9W4iSZSgh6cn52Y50klZv33tbcHAwBg0a9F7/wIEDERwcrOnpiIgom8bNmIXRTR3h1qG1qiCll/HhdQiIiIiISDdMHPcTIEmQ9OSAJKFHdzfRkYhyjMarko8ZMwb79u1Dy5Ytcf36dQDA119/DScnJ7i6umo9IBERZS0lJfXNb9Pk+pBlKJGhJ8fWM74Y1KwKlEquO0BERESka+ZuPoAQmezNhkyGXbs9+UtHyrc0nil1/PhxlC9fHkeOHIGlpSUsLS1x5MgRlC9fHsePH8+JjERElIW31xko/ezN/4MjipTDL+cC4OxUTnA6IiIiItLEHq+9CCn+JQCgTMAplH5ySLX4uY1VCcHpiLRP4zWl8juuKUVEuuJDC19u27AOETX6QtKTo1BKPP5ePBC79h8QnJSIiIiIPkX1lD0ABukp2NmnNu4+8FX1G6ckwDrwNLq5dRWclOjTtLqmVJUqVSD7//TBKlWqfLQREVEukb2/8GW/IcPw2ns6DNJS8NrIDDUnbIX7jGkCQxIRERGRWmRyFE58AQAo9fwK7j7wBQC4de2MUpH/INnIFAHlO2D375dR0tpWZFIirVFrppRSqYS1tTUiIyOhVCohSZKqSPU2SZKgr6/xMlV5CmdKEVF+0K55c7SZvBZR5nbQy1Di2aoh2ODhIToWEREREWWhqnMl9Nl2BSmGCvgt7YvNu3Zn2v/rtq0IrdINGXpyFI8NxCH3EThy6qSgtEQfp25tRa2ilL29PYKCglRff8y/43QVi1JElF842Nlh/kYvyFPj4dauueg4RERERPQJ5cs6YtQPQzB83IQP7l84cxoMWo5DiqECiuQ4RO2bh5+XLs/llESfptWi1NsaNGiAK1euvPdUJ7lcjrp16+LixYvZCpxXsChFRPmNQqFAUlISAKB2teoAgOt3bomMRERERETZ1MvVFfVGLUe0qTXkynQYnVmOUZOmio5FlIlW15R627lz52Bpaflef+HChXHu3DlNT0dERDns34KUuZkZhi71QO/VRzGsbx/BqYiIiIjoX62bNFF77M59+7B6UDOUivJBodQEHD7GW/hId2lclJLJZJCk9ydXFS1aFImJiVoJRURE2teiUSMkGBdHnKIYyg37BasWzhcdiYiIiKjAMzIyRKtZHlh/IVDtXxzee/QQA7+vg3Nz++HMxQuqfkuLIjkVkyhHqL0q+b59+wC8Wcx8+/btSElJUe2Ty+X48ssvceXKFe0nJCIirfA+fBgRLyLRZ/4WRFiUQ2qTsdizqzS69eguOhoRERFRgbVs3lzEKYrBMO01Tp35U+3jUlJSsf/4MdX2tg3rkOLcChdXjMau/QdyICmR9qk9Uyo2NhaxsbGQyWSIj49XbcfGxiI8PBwbN25Ez549czIrERF9pvPXrmJcx3ooHXYJkMkQ4NwJu49dgI1VCdHRiIiIiAokk2otAQClQi/CLzgwW+coXqwoEr9oj2hTG9ScsBULZ07TZkSiHKPxQuczZszAkiVLVGuU5Ddc6JyICopdHh4I/qILJJke7MP/Ro9W9URHIiIiIipQRg4aCJthayGTMnBrdhd4Hz6c7XN936w52k5Zgyhze+hlKGH7z2706j9Ai2mJ1JdjC53PmTMn3xakiIgKkh69e8PwxGKYvo7GtX1bRMchIiIiKnDqtO0GACgVefezClIAcOTUScxy+xb24X8jQ0+OkGq94HnoFMzNzLQRlShHqDVT6ubNm2jcuDFiYmJw69atDy50/q8aNWpoM1+u40wpIipoLC2K4FVMtGq7S9u2n/2hiIiIiIg+rm7Nmmi/7jyUcgNI+2dhylztPYRmj6cXApzaAzIZbF49wg9ta3NyCeUqdWsrai10fujQIdXC5gcPHtRKQCIiyhveLki5T58CvbbT0LHnCfTo1hlKpVJgMiIiIqL864cRwxEsN0DRuBAM1mJBCgC6uXXFmmWL8Lr+MBhHP2VBivIsjdeUyu84U4qICjJP79/gX64tAMDuxW3M+aE7Hj/zE5yKiIiIKP+Ry+VYMmcWlEolxs2YlSOv0aNjB3geOqz6RaNCoWCBinKFurWVzypKmZiYQE8v87JUul7IYVGKiAq67RvXI+Kr3siQ68MyPgxnlo7k7XxEREREOq6ktS1m7/kTJmE30a1HN9FxKJ/LsYXOS5cujaNHjyIhIQGxsbGIjo5GdHQ0YmJiEB0d/ekTEBFRntZ38FCk7JuFQikJeGVmizqTt2Pu1MmiYxERERHlG8WLFc3115z/80xEFi6NAGdX7D52ETZWJXI9A9G7NJ4pdenSJchkMqxcuRIRERHvLXp+4cIFbebLdZwpRUT0Rqc236PZ+JV4aVYKehlKRG37CYvXrBMdi4iIiEinTR09CkXdZsM26CzcunTM1df+dcd2hHzhBklPD8VjA/DbnCE4ce5crmaggiHHbt+Lj49HjRo18Pjx48/NmCexKEVE9B9HOwfM2eQFSBno0bKu6DhEREREOm/37xcRaF0bDuF/oXur+rn++kvmzIJes9FIMVTAJDkWz73mwH3lL7meg/K3HLt97++//4adnd1nhSMiIt3gFxyI3q3rYXSv71V9jnYO+KpKFYGpiIiIiHRTi0aNEGxVEwBw/4/fhGQYN2MW/lk+BBYJEUg0LgzLnguwaqF2n/5HpC59TQ8YOHAg1q9fj5IlS+LevXtIS0vLtN/Hx0dr4YiISDylUonIqJcA3jwlZvYmb8SZlMTtjZOxaedOwemIiIiIdEffYT/CX08Oqxh/TF62QliO7V5euP2PD8au3IWX5qVx/frfwrJQwaZxUap48eJwdHTEtm3bVH2SJEEmk0GSJOjra3xKIiLSEa0aN0G0WRkkFLJAxRGrsbxieYyZOl10LCIiIqI8r3ixogi3awgAkHxPig0D4O4DXwz6vjZ6dOyEXfsPqPqNjAyRkpIqMBkVJBqvKXX//n08ePAAixYt+uBC50FBQdrMl+u4phQR0cc1bvAtus/eiBcWZSGTMmDvuxfde/USHYuIiIgoT9u2YR3Caw2ASXIspjUvi7g8+O/NXxYtgFHtLjizfCy8Dh749AFEWcixhc4TEhJQtWpV+Pn5fW7GPIlFKSKiTyterChWbd+HANs3i5+XDruCkX1dVbf5EREREVFmm/58iihze5R+fADd3LqKjvMehUKBJSefINakOIxTE/H66GJMmcu1pih7cmyh87Nnz6Jq1aqfFY6IiHRbZNRLdGvTEA6+3pBJGQiwrYvlv/4uOhYRERFRnvXXltkoE3wOa5YtEx3lg5KSkvDH/MEoFheMZEMTyNtPh8eWTaJjUT6n8UypQYMGYdq0adi6dSt8fHzeW+j8yJEj2syX6zhTiohIMysXzIPkMgyxB90xc+Fi0XGIiIiI6DM42Nlh/kZvBJWoAQAoE3QW/bt3RFJSkuBkpEty7PY9pVKZ5b78sNA5i1JERJpzsLNDYHCwaruZSyOcOn9OYCIiIiIi+hyennvhX74dAMD21UOMc2vEpRpIbTl2+55cLs+y6XpBioiIsuftgtT44cPQdPEReHrtFZiIiIiIKG/w3HsAu45fxdhhQ0VH0YibW2cUubAa+umpMEqKYEGKcoTGRam3GRkZaSsHERHlE9UbNEK6viH8ndph14lrcLCzEx2JiIiISAgHOzuE2TVCUIkacHRyFB1HY0NH/4Snq3/A4B4dVX1yuVxgIspvNC5K6enpYdq0aQgJCUFCQgLKlCkDAJgzZw769++v9YBERKRburl1ge2t7dDLUCLIqjqm7jyPji1bi45FRERElOvmzp6JFEMFzJJeYszkqaLjZMsGDw/E/f/2K4VCga0nbmL3rl2CU1F+oXFRaurUqejbty8mTJiA1NRUVf+9e/cwcOBArYYjIiLd1GfgYKQdmAPjlAS8NC+Fb2d4YPbE8aJjEREREeWqxHLNAACWAWeQkpL6idF536rFCxBWtBICnTtjz7HzKF6sqOhIpOM0Lkr17t0bgwcPxu7duzMten737l1UrFhRq+GIiEh3TZvnjqvufWEZH4bXRmYw7jQb08eOER2LiIiIKFcs+Xk2ok2tYZCegoXz5ouOoxUDh4+E/T1PyKQMBNjUwQLvK2jm0kh0LNJhGhelSpYsiadPn75/Ij09GBgYaCUUERHlD96HD2Npv8awi7wD65jHWLpug+hIRERERLnCqnYbAECp51dw94Gv4DTa06N3bxidWAzDtNd4YVEG38/3woQRw0XHIh2lcVHK19cXDRo0eK+/U6dOuH37tlZCERFR/vH4mR/6tKqDOf3bISkpCQBgaVEEVZ0rCU5GRERElDP6du2K0KKVAQB/eO8QnEb7xkydjgerhqFw4gskFLJA8d4LsWbJItGxSAfpa3rAnDlzsGPHDpQsWRJ6enro2LEjKlSogN69e6NNmzY5kZGIiHScUqmEX3CganvNzt8QU7g8/l43EVv37BaYjIiIiEj7bty5i2YP9kLP3BqTd+XPzzqbd+3GV//4YPSynYgs7IgnT56IjkQ6SAZA0vSg+vXrY8aMGahatSpMTU1x69YtzJkzB6dPn86BiLnLzMwMcXFxMDc3R/z/nzBARETa06huPXRYfACJhSxglJqEjNMrMW76TNGxiIiIiCgbFAoFhvTuheXruUwD/Ufd2orGt+8BwKVLl9CsWTOUKFECJiYmaNCgQY4XpKZMmYLLly8jMTER0dHRHxxjZ2eHo0ePIjExEREREVi0aBHkcnmO5iIiIs2cu3IZR6d0RfHYAKQYKpDeciJ2eeS/ae1EREREBUFSUlKmgtTcqZOx+dwTdGrzvcBUpCuyVZSqUaMGXF1d0bFjR1SrVk3LkT7M0NAQe/fuxbp16z64X09PD8eOHYOhoSHq1q2LPn36oG/fvpgzZ06u5CMiIvWdOn8O07s2gMPza5D09BBUuRv2HDkDS4sioqMRERERZZtcLseuE9ewdf1amJuZiY6T6+RyOYo3G4LIwg6oP3UHfp4ySXQk0gGSuq1hw4aSn5+flJ6eLimVSkmpVErp6enSkydPpAYNGqh9ns9pffr0kaKjo9/rb9GihZSeni5ZWVmp+oYMGSLFxMRIBgYGap/fzMxMkiRJMjMzy5X3w8bGxlbQ255duyX3mymS+61UaefJG8LzsLGxsbGxsbFlt61Zskhyv5UqLb0eKznaOQjPI6J1avO9tPH8M8n9Vqq08MZracemDcIzseV+U7e2ovZMKUdHRxw9ehQBAQHo2LEjnJ2dUalSJXTu3BkhISH4/fffUaZMGXVPp3V16tSBj48PXrx4oeo7efIkChcujC+++CLL4wwNDWFmZpapERFR7unWoztM/lgKo9QkvLp9UnQcIiIiomwzqdYSAFAq9GKmh7wUJL8dPYKFPRvB7sVtZOjJEVajH7wO/A6FQiE6GuVBahelRo8ejWvXrqFx48Y4fPgwHj9+jEePHuHAgQNo1KgRrl+/jjFjxuRk1o+ytrZGREREpr5/t62trbM8bvLkyYiLi1O10NDQHM1JRETvGzlxCnb0q4tRk6aq+mpUrSYuEBEREZGGRg4aiOeWFSCTMrBv+0bRcYTyCw5En9Z1UebpEQDAM4cmWHfoChzs7AQno7xG7aJUw4YNsWLFiiz3r1ixAo0aNdLoxd3d3SFJ0kdbhQoVNDqnptzd3WFubq5qJUuWzNHXIyKiD7v7wFf1dZ8uXdBzwzl4enoLTERERESkvjptuwEASkXehffhw4LTiKdUKuHWxRVFL62Bfnoq9JXJCAwOFh2L8hh9dQfa29vDx8cny/337t2Dg4ODRi++dOlSbN++/aNjnj17pta5wsPD8fXXX2fqK1GihGpfVlJTU5GamqrWaxARUe5o0a4DAgxN4F++PXYdv4IJ/TohNDxMdCwiIiKiD6pbsyaCrb8BAARfPiQ4Td4yeOQYjB7ii/W/nxIdhfIgtYtSpqamSEpKynJ/UlKSxveIRkVFISoqSqNjsnL16lVMnToVxYsXR2RkJACgadOmiI2Nha+v7yeOJiKivKRbj27YuXUzwr7sgaASNTHL8yIOz/8BR05xzSkiIiLKe34cOw4BcgMUjQ/B4J/ni46T56zYsCnT9q7fL0P20g/de/UWlIjyCrWLUgBQqVIlvHr16oP7ihUrppVAWbGzs4OlpSXs7e0hl8tRtWpVAMDTp0+RmJiIU6dOwdfXFzt37sSECRNgbW2NuXPnYs2aNZwJRUSkg3r1Hwj3GQEwbjUWUeZ2aDJrF6p/6Y7ZS5aKjkZERESUyfNnT2Bt9Rgyv0uio+R5a5ctRpB1LcC6FvYctcPIvp0QGfVSdCwSRIY3j+H7JKVSCUmSIJPJ3tv3b78kSdDX16jOpbZt27ahb9++7/U3bNgQ58+fB/DmFsN169ahYcOGSExMxI4dOzBp0iQolUq1X8fMzAxxcXEwNzdHfHy8tuITEVE29ejYAQ1Gr0C0qQ3kynSkHvwZ0+a5i45FRERERNm0+9dfEeTcCZJMDyVi/LBz2kCcu3JZdCzSInVrK2oXpezt7dV64aCgILXG5VUsShER5T3OTuUwZbUnUgzNMb1rAzx/EfHpg4iIiIgoz1q5YD7SG41AqoExTF9HI+DXmVi6br3oWKQlWi9KFRQsShER5U1yuRxfVqqE2/9/6IZcLoejQ2k8fuYnOBkREREVVOOHD0MNl8bY9MsqnLl4QXQcnTOkd29UHeSOWJPi0E9PheLSWgz/aYLoWKQF6tZW9HIxExERUbYplUpVQQoAdnvtx0/bz6FPly4CUxEREVFB9lWr7vAv1xYDJs0THUUnbfDwwJYRrWHz6iEy9OR4FfXhNawp/2JRioiIdM5XVaogwrYuok2tUfWnjVg4a4boSERERFTANHNphOASNQEA98/sE5xGd928ewc/tP0GyXtnYPr8BaLjUC5jUYqIiHTObR8fnJzRDcVjA5FiqADaTMav27eJjkVEREQFSP/hPyJDTw6rGH/MW7ZCdBydlpSUhJkLF6u2xwwdgm1nfNGxZWuBqSg3sChFREQ66dgff2BmNxc4hP+FDD05gr/sAc/Df8DczEx0NCIiIsrnihcrinA7FwCA5HtScJr854uu4xBepBy+neGBmRPGiY5DOUjjopSxsTEKFSqk2ra3t8eoUaPQtGlTrQYjIiL6lNDwMHRvVR+lH+0HJAn+pb7F6n1cZJSIiIhy1qK5P+O1kRlMkmPx0+SpouPkO6dXToBlfBheG5lB0XkOtm1YJzoS5RCNi1KHDh1C7969AQCFCxfG9evXMXbsWBw6dAhDhw7VekAiIqJP6dbNDebnVsIgLRlpTy+LjkNERET5XHrF5gCA4kFnEcentmud18EDWNqvMewi7yJDro/wWgPguf8ojIwMRUcjLdO4KFW9enVcvHgRANCpUydERETAwcEBvXv3xsiRI7UekIiISB3Dx03AkVHNMeCHEao+RzsHgYmIiIgoPyppbQvThCAYpr3GmmXLRMfJtx4/80OfVt+gjN8xAIB/6WbYdOQ6ypd1FJyMtEnjopRCoUD8/yvBzZo1w/79+yFJEq5duwYHB374JyIicc5fu6r6ukWjRhjt+Rf27PEUmIiIiIjym9DwMHRr0wjL2jnj0l/XRcfJ15RKJdw6d0DxK+shV6YhQ0+OkPDnomORFmlclHr69Cnat2+PUqVKoXnz5jh16hQAwMrKCnFxcVoPSERElB29BwxAQqEiCKjQEbt/vwgbqxKiIxEREVE+EhoeJjpCgTFwxEi83DkR68b1RVJSkug4pEUaF6XmzJmDJUuWICAgANevX8e1a9cAvJk1dfv2ba0HJCIiyo7uPXvC7p9dkGVkINC6Nn72uoTWTZqIjkVEREQ6bOOq5ZgwYrjoGAXSwlWrcf3OLdW256GT2LVjh8BEpA0yAJKmB5UoUQI2Nja4e/cuJOnN4bVq1UJcXBwePXqk7Yy5yszMDHFxcTA3N1fdpkhERLpr4awZMGjxE1IMFVAkx+KF91zMW7FSdCwiIiLSMQ52dhi11wcphgroHZqDibPnio5UYC2b9zNSWk4EAJQOvYjhvTrhVUy04FT0NnVrK9kqSuVnLEoREeU/fbp0QZ0RSxBtag25Mg3SsYWYOGuO6FhERESkQ3Zu3YyQar1hlvQSYxs7ICUlVXSkAm3P7j0IqNARkMlgHf0UWyb34xpfeUiOFqVq1KiBLl26wN7eHoaGmR/J6OrqqnHYvIRFKSKi/KlyhYqY8MsuJBpbYc2gprj36KHoSERERKRD1l8IQrSpNRx8vdG9Z0/RcQjA6sULkPztD0gzMIbZ61d46jEdKzZsEh2LoH5tReM1pbp27YorV67A2dkZHTp0gIGBAb744gt89913iI2N/azQREREOeXeo4cY9H0deE9yy1SQKmltKzAVERER6YIlP89GtKk1DNJTsHDefNFx6P9GjJ+EwI2jYZ70EvGFLFFqwDKsWbJIdCzSgMZFqSlTpmDMmDFo27YtUlNTMWrUKFSsWBHe3t4ICgrKiYxERERakZKSinNXLqu2d//6K6Z7X0WPjh0EpiIiIqK8zqp2GwBAqedXcPeBr+A09LZftmzFrtHfwzr6MdLkhsjIyBAdiTSgcVHK0dERx44dAwCkpqbCxMQEALB8+XIMHjxYu+mIiIhyiKOdA6LKNEO0qQ1qTtgK9xnTREciIiKiPKhv164ILVoZAHDmt18Fp6EPuXLjBka1rwOD3xfgxwmTRMchDWhclIqOjoaZmRkAIDQ0FJUrv/nDaWFhAYVCod10REREOcQvOBBn5vRCsbhgJBuaQK/tVOzcull0LCIiIspjvvyyMhQpcSgZdR+bdu4UHYeyEBcfj3HTZ6q2e3TsAI/Td/B9s+YCU9GnaFyUunDhApo2bQoA2Lt3L1auXImNGzdiz549OHPmjNYDEhER5ZRDJ09illsD2EfcQIaeHCHVesPz0En+koWIiIhUfpo6HdObl8Vu959ERyENNBn+M0KLVkKTWbswfewY0XEoCxo/fa9IkSIwNjbG8+fPIZPJMGHCBNStWxdPnjzB3LlzERMTkzNJcwmfvkdEVDB5enrDv3x7AIDtS1/0b1EDSqVSbCgiIiIiypZerq6oN2o5ok2tIVemo9iNreg/bIToWAWGurUVjYtS+R2LUkREBdfaZYuRWH8YbB/uR4/evUXHISIiIoHkcjlWLXTH+BmzkJSUJDoOZUPlChUx8ZddCClWBQBQ1v8EenfvhJSUVMHJ8r8cLUrp6emhffv2cHZ2BgDcv38fhw8fzher3LMoRURUsLVr3hyHTp5UbRcvVhSRUS8FJiIiIiIRVi9egPjGP6FofAgGu5QVHYeySS6XY7f3fjwr0xIAUDLKB+7Du+LBk6eCk+Vv6tZWsvX0PV9fX3h4eKBjx47o2LEjfv31V9y/fx9ly/IPKhER6ba3C1JfVamCn/ffxp5dewQmIiIiIhFMv2oFADB/6Ss4CX0OpVKJrq7tUOL6RsiV6Ug1MEdcPGe+5RUaF6VWrVqFZ8+ewc7ODjVq1ECNGjVgb28Pf39/rFq1KicyEhERCTF23FhEm1ojwNkVu49dhI1VCdGRiIiIKBf8OKA/nltWhEzKwP7tG0XHIS3oP2wEYvdMwSH3EQgNDxMdh/5P49v3EhIS8M033+DevXuZ+r/88ktcvnwZZmZm2syX63j7HhERvW2Xxw4EV+oKSU8PxWMD8NucIThx7pzoWERERJSD9hw5g4CSDWD34jZ6tqgtOg7lEE/v35CeFI+effuJjpLv5NjteykpKR8sPJmamiI1lYuFERFR/tKjdx/oH18Iw7TXiCxcGq3meWPyqB9FxyIiIqIcUrtadYRYfwMACL58SHAayimzJ46Hf7m2CP6yBzwPn4a5jk+w0VUaF6WOHj2KjRs34uuvv1b11a5dG+vXr8fhw4e1Go6IiCgvGDd9Ju6vGAaLhAgkGheGZc8FWDbvZ9GxiIiIKAeMnjgB6XIDFI0PweSf54uOQzlk5sLFKP1oPyBJ8C/lgpUHr6JuzZqiYxU4GhelRo4cCT8/P1y9ehXJyclITk7G5cuX8fTpU4waNSonMhIREQm3dc9urB/SHCVf+sI4NRFHjp0QHYmIiIhyQEaR0gAAw0enxAahHNetmxvMz62EQXoKwouUR48VR/DjgP6iYxUoGq8p9S9HR0c4OzsDAB48eAA/Pz9t5hKGa0oREdHHGBkZ4vumzfHb0SOqPnMzM8Tx7wwiIqJ8Y+a4sdjo8Suev4gQHYVywchBA1G+71zEF7KEQVoyjC+sxYjxk0TH0mnq1layXZT6l56eHqpUqYLAwEDExMR8zqnyBBaliIhIE9s2rENqxRY4s3QUvHkbOxEREZFOqv91bQxw34rwIk6w/msz+g39QXQknZZjC50vX74c/fu/mc6mp6eH8+fP49atWwgODoaLi0v2ExMREekYG6sSSKjcEa/MSqLO5O2YO3Wy6EhERESUTd83a47a1aqLjkGCXPrrOsa61keR87+wIJWLNC5KderUCXfv3gUAfP/99yhbtiwqVqyI5cuXY968eVoPSERElFc9fxGB8+4DUTQ+BMlGpjDoMAM7Nm8UHYuIiIiyoduoqei08QK2b1wvOgoJ8iomGkPHjFVtN27wLX49cR0tGjUSmCp/07goVaxYMYSHhwMAWrVqBW9vbzx58gRbt25FlSpVtB6QiIgoL/vt6BEs7NkI9i9uIUNPjrDqfeF58DgUCoXoaERERKSmxg2+RbBVTaTrG+LJw4ei41Ae0Wf6cgRbfYVW87wxdTQf7JYTNC5KRUREoFKlStDT00OLFi1w+vRpAIBCoYBSqdR6QCIiorzOLzgQPVp8gzJP36wp5W/fGOsOXWVhioiISEcM+nEUMuT6KB4bgHnLVoiOQ3nEmc0LYZEQgUTjwijcYz42r1klOlK+o3FRatu2bfD29sa9e/cgSRL++OMPAEDt2rXxkBVlIiIqwNy6dILlxdXQT0+FUbQfkpKSREciIiKiTyherCjC7Rq+2fA9ITQL5S07vL2xZlBTlIy6B6XcAJF1hsLzt4OQy+Wio+Ub2Xr6nqurK+zs7LB3716EhoYCAHr37o2YmBgc1vEnD/Hpe0RE9Ln6du2Knb/9pppBrFAoWKAiIiLKo7atX4vwrwfCJDkW05qXRRz/HUjvMDIyxI7d++BfpjkAoFTkXcwf0Q0PnjwVnCzvUre2op+dk+/bty/TduHCheHh4ZGdUxEREeU72728VF+XtLbF7D1/QhH6F7r37CkwFREREX1IesU3hYbiQedYkKIPSklJhZvr99i2fi0ia/RFgsIGxsaFRMfKFzS+fW/ChAno0qWLatvLywsvX75EcHAwFzonIiJ6x/y5sxBZuDQCK3XBnqN/onixoqIjERER0f/179Ydr0xtIVemY82ypaLjUB7Xb+gPSPSajpvrJ+C2j4/oOPmCxrfvPXv2DD169MDVq1fRpEkTeHt7o2vXrujSpQvs7e3RvHnzHIqaO3j7HhERadvunTsRVKkzJJkerGKeYffMwThz8YLoWERERASgdZMm+L51SwwdM1Z0FNJBu3bsgDI9Db0HDBQdJU9Rt7aicVEqKSkJ5cuXR0hICFasWAFjY2MMHToUTk5OuH79OiwtLT83u1AsShERUU5Y4T4Xyu9+RKpBIZi+jkHwntlYtHqN6FhERERElE3jhw9D0f7LIcn0UCb4HPp368B1RP9P3dqKxrfvRUdHw87ODgDQokUL1dP3ZDIZV6AnIiLKwujJ0/Bw9QgUToxEQiELFO+9ECsXzBMdi4iIqMCqUbWa6Aik4xavWYfST9487M3frhHWHr6G2tWqC06lWzQuSu3fvx+7d+/GqVOnULRoURw/fhwA8NVXX+HpU648T0RElJVNO3diy4jWsH31EPoZafjrrxuiIxERERVIDnZ26LnhHHacvotGdeuJjkM6zM2tC4qc/wX66al4blkRvVcfxZDevUXH0hkaF6XGjBmD1atXw9fXF02bNkViYiIAwMbGBmvXrtV6QCIiovzk5t07GNb2G9z/ZTh27T+g6jcyMhSYioiIqGCZO3smkg1NEF/ICldu/i06Dum4oWPGImzrWJi+jkacohjKD1+NlQvmi46lEzReUyq/45pSRESU21YvXgCjWp1xcslo/Hb0iOg4RERE+d76C0GINrWGg683uvfsKToO5RMu39RBn/lbEGFRrsD/bOXYmlIA0LNnT1y8eBGhoaGwt7cHAIwaNQpt27bNXloiIqICSqFQQFanN6LM7VB/6g7MmTRBdCQiIqJ8bcnPsxFtag399FQsXrhQdBzKR85fu4pxHevB+u8tBbogpQmNi1JDhw7FsmXLcPz4cVhYWKgWN4+JicHo0aO1nY+IiChfS0pKwvlFQ2EZH4rXRqYwcp2F7RvXi45FRESUb1nVbgMAsHt+Bbd9fASnofzmVUw0+g0ZptquXKEi9hw7j2YujQSmyrs0Lkr9+OOPGDRoEObPnw+lUqnqv3HjBqpUqaLVcERERAWB9+HDWNqvCewi7yBDro/nNfvD68AxrjNFRESkZX27dkVo0coAgDO/7RSchgqCKcu3IMCmDtrM98KEEcNFx8lzNC5KlSlTBrdv336vPyUlBSYmJloJRUREVNA8fuaHPq3qoMzTowCAZw5NsenoXyherKjgZERERPlHiy49AZkMJaPuY9NOFqUo553dtQYWiS+QWMgCxfsswqZVy0VHylM0Lkr5+/ujWrVq7/W3aNECDx480EYmIiKiAkmpVMKtS0cUu7QG+so0GL6ORGTUS9GxiIiI8o2xw4fA9uY2BP7pJToKFRCbd+3Gxh9aouRLX6TLDRBVfzg8vferlkKiN0/fU7sNGDBACg4Olrp06SLFx8dLXbt2laZMmaL6WtPz5bVmZmYmSZIkmZmZCc/CxsbGxlZw2/D+/STzt/4uksvlwjOxsbGxsbGxsbFlrxkZGUpeB45J7rdSJfdbqdKvJ65LjnYOwnPlVFO3tiL7/xca6d69O2bNmgVHR0cAQFhYGGbOnImtW7dqeqo8R93HFhIREeUWczMz/LL/IvSf/4MevXuLjkNERKRz/p2V8va6yEQibN+4HhFf9Uah1AQcndIVp86fEx0pR6hbW9G4KGVoaAh9fX0kJSWhUKFCMDU1RWRk5OfmzTNYlCIiorxm67rViKg9GABQOvQihvfqhFcx0YJTERER6Y7VixdA75ueMHl4DH0GDREdhwq4OZMmIDEpCQtXrRYdJceoW1tRe02pYsWK4ffff0dCQgLi4uJw9epV2NjY5KuCFBERUV7Uf9gIODzYC5mUgYCSDTD72EO4fFPnvXGeXnvh6b1fQELKaZ7e++HptffD+/h9JyL6JNOvWiHWxApGxUqJjkKEGQsWqQpSnt778euJq9ixeeN74wrC3/FqF6UWLlyIatWqYcaMGRg3bhwsLCywefPmnMxGRERE/9e9Rw8UOr0McmUaEgoVQdsVJzBm6H+/6fX02gt/p3aAxNsS8iVJCX+ndu8Vpvh9JyL6tB8H9Mdzy4qQSRk4sIP/hqU8xlCBYKsaCKveF54Hj0OhUAAoOH/Hq337XlBQEAYOHIhTp04BAMqVK4cHDx7AxMQEqampOZkxV/H2PSIiysuG9e0Dp6ErkWKogJ4yHRcmt0WvQUPg79QODs+vAdFBWR479qexeP4iAgCw5OfZsC3jmOXYWTNm4vEzPwDAwpnTYOdUMcuxSxcvwc27dwAAP0+ZBMdKlbMcu2ntOpy7chkAMH3sGDh/VSPLsXs8duLIqZMAgAkjhqPaB2aH/eugtze8Dx8GAIweMghfN3DJcuypI0ew3evNU5eG9O4Nl2bNshx78Y/TWLd9BwCgT5cuaN62bZZj/750EcvXbwAAdGnbFu27dMly7N2/rql+Q9q6SRP06Ns3y7GP7tzG7CVLVR9ObV/6Qvn0EhSW1vB3aosyTw7BrWvnLI8nIiro9hw5g4CSDWAXeQc9m38tOg5RJnK5HJtP3kW4ZXkAgO1LXxhF+8G/3Pc6/Xe8urUVfXVPaGtri7t376q2nz59ipSUFNjY2CAwMPDz0hIREZFa1m3fgdp3fNBr9VHEK4rhW/fD8Jfro8yTQ8gws0VgpawLIbY2S1RFqZLV6iOgZIMsx1Yot1NVlHL4qh787RtnOfaryr+rilLlq9fBs7Itsxxbq/pVVVGqUq06CCjfPsuxX9e8pypKVatd+6PvrU5tf1VRqvrXHx/7TWSEqij19Tdff3RsrfgYVVGq9je1Pjq2emoy8P+i1De1Pz62KgDgTVGqds3qHx3rrG8IAHDr2hmeh07B364hULQSAOj0h1UiotxQu1p1hFh/AwAIvnxYcBqi9ymVSvRrUhm7jl9GUIlaeG5ZEVLRSgXm73i1i1LA+08qUCqVkMlkWg1EREREH3f9zi34NCuHGRdeIUOuDz1lOty6dsav27fB4SMToGNe/bc4emqEHxzkRlmOPfjivzUjk8L94WD4V5Zjz4c9V30d9zwADoqsx94JCVN9HR0WCAfzrMeeDfxv1ldkaDAcimY99q+g/8Y+Dw6Cg03WY++/dd7QoCCUK531WL/gENXXwYFBqBKe9djQ4P/OGxQUhK8/MjYy5K2xwSH47iNjX4X998u//VtW46uZLoBMBkgStq5dm+VxREQEjJ4wHgFyA1jGh2LInLmi4xBlqUfLelh44zUy9OSqz3YFgdq37ymVSsTGxkKS/htuYWGBuLg4ZGRkqPqKFi2q9ZC5ibfvERGRLvj3Vi49ZToy/j9TqqB8eCnI/ltfQgJksjf/yHIpIzoWEVGepFAosPB0ABIKWcD25jY+dY/ytPz22U7rt+/169dPK8GIiIjo8/z7oeXfDyv/bnt67dXpDy/0cW9/332uX4Zpj4V4ZVYSe46eQ7c2jUTHIyLKc5KSkpBwchUcajfH2KkzRMchylJB/myn9kypgoIzpYiIKC9790PLp/opf/jQ99fz8B/wL/UtAKDM08Nw69JJZEQiIiLKhvz62U7d2opeLmYiIiKizyWTf/DDiVvXzijz5BAgkwsKRjnqA9/35TMmwDg1EQZpKZCMzQWGIyIiomwr4J/tOFPqHZwpRURERLpi5oRxOHjkd9x94Cs6ChFRnuJ56CRkGUrsXr8Sh06eFB2HqMDR+ppSRERERJS3zF60RHQEIqI8p5lLIwSW/BYZenJUq3KGRSmiPIy37xERERHlA1vXr8Xi2VzIl4io//ARyNCTo3hsAGYvWSo6DhF9RLaLUgYGBihfvjzk8vx9fyMRERFRXrfLwwMRXw+EovFQ2FiVEB2HiEiY4sWKItyu4ZsNX86QIsrrNC5KFSpUCJs3b0ZSUhLu378Pe3t7AMCqVaswceJErQckIiIioo9znzcfiuQ4xCmKYfkvq0XHISISZtHcn/HayAyK5Fj8NGmK6DhE9AkaF6Xc3d1RtWpVNGzYEMnJyar+P/74A127dtVqOCIiIiL6tHuPHsLk9h4AQFDZVujRsYPgREREYqRXbA4AsAo6hzg+uIooz9O4KNW+fXuMGDECly9fhiT99+C++/fvw9HRUavhiIiIiEg9A4f/CJtXj6CUG6D50Omi4xAR5bqfp0xClLkd5Mo0rFnGtaSIdIHGRanixYvjxYsX7/WbmJhkKlIRERERUe666rEYehlKhBarjLXLFouOQ0SUq27cvI0ygafhEPInLv11XXQcIlKDxkWpGzduoHXr1qrtfwtRAwcOxNWrV7WXjIiIiIg0ssHDAw6BpwEAytq9YW5mJjgREVHuOXTyJNw6tEbXDq0/PZiI8gR9TQ+YMmUKjh8/jkqVKkFfXx+jRo1CpUqVULduXbi4uORERiIiIiJS09TRP2LmloMIubCX66kQERFRnqbxTKnLly+jWrVq0NfXh4+PD5o1a4YXL16gTp06uHXrVk5kJCIiIiI1+QUHonezrzBl7nzRUYiIcoWDnR12/34Zi2fPEB2FiDQkA8CFoN5iZmaGuLg4mJubI56/XSQiIiId17pJExz74w/RMYiIcozHls0I/ao3zF6/wtjv7JGSkio6ElGBp25tRa3b98w0WI+AhRwiIiKivGH3rl0ILd8eHdpvwcARI0XHISLKEUlOzQAAlv5/sCBFpGPUKkrFxMSo/WQ9fX2Nl6kiIiIiohygZ2CEdLkBEqt3g7PTKjx48lR0JCIirVoyZxaiTa2hn56KxQsXio5DRBpSq4LUqFEj1delS5fGggULsH37dtXT9urUqYM+ffpg8uTJOZOSiIiIiDQ2ZsRwTNtfF3GKYpi1aCWfSEVE+U6Jb75HCAC751dw28dHdBwi0pBaRakLFy6ovp4xYwZ++ukneHp6qvqOHDkCHx8fDB48GB4eHtpPSUREREQae/4iAumXtgHNxsPfrjFGDxmEFRs2iY5FRKQVfbp0QUjRygCAM7/tFJyGiLJD46fv1alTBzdu3Hiv/8aNG/j666+1EoqIiIiItGPUpKmwe3Ebkp4evuw6FnK5XHQkIiKtaNm9HyCToWTUfWzayaIUkS7SuCgVHByMQYMGvdc/cOBABAcHayUUEREREWnP/pVzoJ+eigiLstiybo3oOEREWpESGYTCiS/w6uYx0VGIKJs0XpV8zJgx2LdvH1q2bInr168DAL7++ms4OTnB1dVV6wGJiIiI6PPsP34MnXsdQZBTOxiaqP9UZSKivKzPoCGQy+VQKpWioxBRNskAqPdYvbeULFkSw4YNg7OzMwDgwYMHWL9+PUJCQrSdL9eZmZkhLi4O5ubmiI+PFx2HiIiISCssLYqgbfNm2O7lJToKERER5XPq1layVZTKz1iUIiIiIiIiyrvmT5uCkqVLY8q0WQgNDxMdh4g+QN3aisZrShERERGRbps+dgz2HD0HIyND0VGIiDRWsqEbwqr3xbI160RHIaLPxKIUERERUQFSvqwjLLrMQoBtPWxex3/QEZFuGd6/H8IsK0ImZWD/zu2i4xDRZ2JRioiIiKgAefzMD9aPDgIAIiu5wuWbOmIDERFpoEH7HgCAUlH/wOvgAcFpiOhzsShFREREVMAMGjoMReNDkGKowNBp7qLjEBGppXa16gi2eVNID758WHAaItKGbBelihUrhnr16qFevXooVqyYNjMRERERUQ5KSkrC89/f3LoXYFsXP0+ZJDgREdGnjZ4wHulyA1jGh2LynLmi4xCRFmhclFIoFNiyZQvCwsJw4cIFXLhwAWFhYdi8eTMKFSqUExmJiIiISMtmLlyM0mGXAABWzYdCoVAITkRElDWFQoEoh8YAAOMnpwWnISJt0bgotWzZMri4uKBt27awsLCAhYUF2rVrBxcXFyxdujQnMhIRERFRDlgzZzKMUpPwyswWq5ctER2HiChLdWrUhHlSGIxTEjBpynTRcYhIS2QAJE0OiIyMRKdOnXD+/PlM/Q0bNoS3tzesrKy0mS/XmZmZIS4uDubm5oiPjxcdh4iIiChHbVm7GvqGhug/ZBiUSqXoOEREH/VVlSq47eMjOgYRfYK6tRV9TU+sUCgQERHxXv+LFy847ZuIiIhIxwz4YYToCEREamNBiih/0fj2vatXr2L27NkwMjJS9RkbG2PmzJm4evWqVsMRERERUe4pX9YRQ3r3Fh2DiCiTjauW4/tmzUXHIKIcoPFMqdGjR+PEiRMICQnB3bt3AQBVq1ZFcnIymjfn/yiIiIiIdNHEkSNQsusMGGSkwvLwEbyKiRYdiYgIjRt8i+g6Q1C/7lBYWvTBDm9v0ZGISIs0nil17949ODk5YfLkybhz5w7u3LmDSZMmwcnJCb6+vjmREQAwZcoUXL58GYmJiYiO/vCHJEmS3mtdu3bNsUxERERE+cWpc+eRoSdHjIkV1qxfLzoOEREAYNCPI5Eh10fR+GAWpIjyIY1mSunr6+Phw4do06YNNm/enFOZPsjQ0BB79+7F1atXMWDAgCzH9e3bFydOnFBtx8TE5EI6IiIiIt1228cHI+964fXXAxHi2AZd2raF9+HDomMRUQFmaVEEEaUavtnwPSk0CxHlDI1mSqWnp8PY2DinsnzUrFmzsGLFCvh8YmG7mJgYREREqFpKSkouJSQiIiLSbf2G/gDr6KdIlxug7XA+cp2IxFqyYB6SjM2hSI7FT5OmiI5DRDlA49v31qxZg4kTJ0Iul+dEns+2Zs0aREZG4vr16+jXr98nxxsaGsLMzCxTIyIiIiqobu1eAr0MJYKLV8UvixaIjkNEBZiyYjMAQImgc4j7yCPliUh3abzQea1atdC4cWM0a9YMPj4+SExMzLTf1dVVa+E0NX36dJw9exZJSUlo1qwZ1q5dC1NTU/zyyy9ZHjN58mTMmjUr90ISERER5WG/bNkKr9Yd8ax0M8jq9kFJ61UIDQ8THYuICpg5kyYgytwecmU61q1YLjoOEeUQjWdKxcTEYN++fTh58iTCwsIQGxubqWnC3d39g4uTv90qVKig9vnmzp2LK1eu4M6dO1i0aBEWLVqE8ePHfzKDubm5qpUsWVKj90BERESU30wfNwomr2NQJCEQDqVsRcchogLIwdER+umpsIv4C+evXRUdh4hyiAyAJOrFixUrhqJFi350zLNnz5CWlqba7tOnD1asWIEiRYp88vytWrXCsWPHYGRkhNTUVLUymZmZIS4uDubm5ojnFFEiIiIqoOrWrIkrN26IjkFEBdhXVaqgRLFiOHHunOgoRKQhdWsrGt++BwByuRwNGzaEo6Mjdu/ejYSEBNjY2CAuLu692/k+JioqClFRUdmJoJZq1arh1atXahekiIiIiOgNFqSISLTbn3jIFRHpPo2LUvb29jhx4gTs7e1hZGSE06dPIyEhARMnToSRkRGGDRuWEzlhZ2cHS0tL2NvbQy6Xo2rVqgCAp0+fIjExEW3atEGJEiVw7do1JCcno2nTppgyZQqWLFmSI3mIiIiICoLWTZqg+9g5SHh8DUNG/SQ6DhHlcw52dujf3Q0zFy4WHYWIcomkSTtw4IDk4eEhGRgYSHFxcVKZMmUkAJKLi4v0+PFjjc6lSdu2bZv0IS4uLhIAqXnz5tKtW7ekuLg4KT4+Xrp9+7Y0ePBgSSaTafQ6ZmZmkiRJkpmZWY69FzY2NjY2NjY2XWme3vsk91up0qrLL6TyZR2F52FjY8vfzWPLZsn9Vqq068Q14VnY2Niy39StrWi8plRUVBTq1q2Lx48fIy4uDlWrVoW/vz8cHBzg6+sLExMTTU6X53BNKSIiIqL/lLS2xeTfbiJeURRlA06ha8c2oiMRUT62/kIQok2t4fBgL7r36CE6DhFlk7q1FY2fvqenpwe5XP5ef6lSpVjEISIiIspnQsPDgKs7AAAB9o3x44D+ghMRUX61ZM4sRJtaQz89FYsXLBAdh4hygcZFqVOnTmH06NGqbUmSYGJigtmzZ+P333/XZjYiIiIiygNGjJ+EUpF3kaEnR/XuY0XHIaJ8qkTtNzMx7cKvcpFzogJC46LU2LFjUa9ePdy/fx/GxsbYvXs3AgICULJkSUycODEnMhIRERGRYEfW/Ax9ZRrCizhh6/q1ouMQUT7Tp0sXhBSrAgA4s9dDcBoiyi0arykFAHK5HG5ubvjyyy9hamqKW7duYdeuXUhOTs6BiLmLa0oRERERfdgeT28ElG+PYnHBGNTQUXQcIspHPA8eh799Y5R86YveTauJjkNEn0nd2op+dk6uVCqxa9cu7Nq1K9sBiYiIiEi3jBwxDKtWS5gzfaroKESUz8QWqQgAiL55THASIspN2ZopZWNjg/r168PKygp6epnvAPzll1+0lU0IzpQiIiIiIiLKXUZGhlg8ZxbGTJkOpVIpOg4RfSZ1aysaF6X69OmDDRs2IDU1FS9fvoQk/Xe4JElwdNTtqdwsShERERF9mlwux5olizB83AT+A5KIiIgyybGiVFBQENavXw93d/dMBan8gkUpIiIiok/zOH0HoUUroeTtHeg9YJDoOESko1o3aYKrN27iVUy06ChEpEXq1lY0fvqeQqGAp6dnvixIEREREZF69CPuAQBeftEJdWvWFJyGiHRVl0nLMPP3J1jy82zRUYhIAI2LUlu2bEHnzp1zIgsRERER6Yihw4bBMj4MyYYm+HHmQtFxiEgHDe/fD2GWFfHayBR/37wjOg4RCaDx7Xt6eno4evQoChUqBB8fH6SlpWXaP3bsWG3my3W8fY+IiIhIPXOnTobc9c3shmTPKZi9aIngRESkSzwP/wH/Ut/CLvIuejavJToOEWmRurUVfU1PPHnyZDRv3hyPHj0CgPcWOiciIiKigmHaPHfsqdsCATZ1ULLVD1CsXoukpCTRsYhIB9SuVh3BNnUAAKFXDglOQ0SiaDxT6tWrVxgzZgx27NiRQ5HE4kwpIiIiIvU1qlsPbZb/jlSDQrC/twc9evcRHYmIdMCe3XsQUNEVlvFhGOJSWnQcItKyHFvoPCUlBZcvX/6scERERESUP5y7chklHuxH0fgQPL7nIzoOEekAhUKBKIfvAADGT04JTkNEImk8U2rSpEmwsbHBqFGjciiSWJwpRURERKQZIyNDyOX6vHWPiNSyePYMpH8/DcapiVjUtiKev4gQHYmItCzH1pT6+uuv8d1336FNmza4f//+ewudu7q6ap6WiIiIiHRWSkoqgFTVtpGR4f/7iIjeN37mHIx/EQnHcuVYkCIq4DQuSsXExGD//v05kYWIiIiIdJiNVQksX70O8VZVMfb7aojjrHMiysLiNetERyCiPEDjolT//v1zIgcRERER6Th725J4bt8IyYYm2LB+A7r16C46EhHlMQ52dggMDhYdg4jyCI0XOiciIiIi+pDrd26hyD9eAIAQp7Zo17y54ERElJc0bvAtRv52H3uO/gkbqxKi4xBRHqDxQufPnj2DJGV9iKOj4+dmEooLnRMRERFln1wux6bT9xFhURb2L26hR4tvREciojzC0/s3+Jdri+KxARjYqLzoOESUg7S20LmrqyuuXbuG0NBQAMCKFSsy7TcwMMBXX32FFi1aYPHixZ+XmoiIiIh0mlKphI/3cpQYuBJBVtWxwn0uRk+eJjoWEQlmaVEEEaUavtnwPSk0CxHlHZ8sSqWnp+PixYto3749/vnnH6xateqD43744QfUrFlT6wGJiIiISLcsX78Bni3aw9++MQwa9IeN1S98whZRAbdkwTxEGJtDkRyLnyZNER2HiPKIT64pdejQIXTt2hU7duz46Ljjx4/D1dVVa8GIiIiISHfNnTgGiuQ4JBoVxo+DB4iOQ0SCKSs2AwCUCPqTT+YkIhW1nr73999/49tvv/3omE6dOuHVq1daCUVEREREuu3eo4dIOrECvvcfYOe+faLjEJFAcyZNQJS5PeTKdKxbsUx0HCLKQ9QqSgFQLUx169atTAudy2QyWFtbo3jx4vjhhx+0n5CIiIiIdNLkOXNFRyCiPMDx23YIAmAX8RfOX7sqOg4R5SFqF6X+dfDgwUzbGRkZiIyMxJ9//olHjx5pKxcRERER5SM/T5kEYyNDjJ85R3QUIsplG+eMw7DRY3Dt3GnRUYgoj5EBkD45qgBR97GFRERERKSeDSuX4VWDETB9HY0Vbl/DLzhQdCQiIiLKQerWVj650DkRERER0edYtGQlTF9HI6FQEcxf8eEnORMREVHBo3ZRSqlUIj09/aMtLS0tJ7MSERERkQ7yCw6E/LoHACDAoRmG9O4tOBER5QaPLZuw7Ywvls/7WXQUIsqj1F5TqkOHDlnuq1OnDkaOHAk9PU68IiIiIqL3/fDTeHicaozQYpVRp/d4bPDwEB2JiHJYklMzRJvawKF0WdFRiCiPUrsodfjw4ff6ypcvjwULFuD777/Hrl27MGPGDK2GIyIiIqL84/SGeagyyQPPLStg85pVGDh8pOhIRJRDFs+egWhTG+inp2LxggWi4xBRHpWtqU02NjbYuHEjfHx8oK+vj2rVqqFv374ICgrSdj4iIiIiyid27tsH+2e/AwASv+oOZ6dyghMRUU6x/qYtAMAu/Cpu+/gITkNEeZVGRSlzc3MsWLAAT58+xRdffIHGjRujbdu2uH//fk7lIyIiIqJ8ZMyPI1Ai5hnMffbiwZOnouMQUQ7o06ULQopVAQCc2ctbdYkoa2rfvjd+/HhMnDgR4eHh6Nat2wdv5yMiIiIi+pjnLyLQ/7uKomMQUQ5q2b0f/GUylHzpi8k7d4qOQ0R5mNpFqQULFuD169d4+vQp+vTpgz59+nxwnKurq9bCEREREVH+5uxUDo+f+UOpVIqOQkRa4OxUDqE29QAA0TePCU5DRHmd2kUpDw8PSJKUk1mIiIiIqADZsHIZkmv1RuF7v6Hv4KGi4xCRFoSGR8DipgeMy1RH76l8EBYRfZwMACtNbzEzM0NcXBzMzc0RHx8vOg4RERFRvrVn1x4EOLvCOCUBnsOa4PqdW6IjERERkRaoW1vJ1tP3iIiIiIg+15Chg1EkIRzJRqYYM2eR6DhERESUy1iUIiIiIiIh4uLjEXtmIwDAv2QDTP1ptNhARPRZ9hw9hz27dqOqcyXRUYhIR7AoRURERETCTJw9Fw7h1wGZDKXbjoCRkaHoSESUDcP790OAbT0EVuyIihUqiI5DRDqCRSkiIiIiEmr7whkwTEtGlLk9tmzYIDoOEWVDg/Y9AAClov6B18EDgtMQka5gUYqIiIiIhDp1/hysH735R6y+ZSnBaYhIUzWqVkOw9TcAgNArhwWnISJdwqIUEREREQk3aOgwpHlPg1vbpqKjEJGGxk2YiHR9Q1jGh2Hi7Lmi4xCRDmFRioiIiIiES0pKwowFfAIfka5RKBSIKv0dAMD4ySnBaYhI17AoRURERER5SseWreF14BgUCoXoKET0Ccvmz0VCoSIwTk3EpCnTRcchIh3DohQRERER5RkKhQKNpm3FM4em2Lxxo+g4RPQJjx4+gn3EDdgEncXzFxGi4xCRjpEBkESHyEvMzMwQFxcHc3NzxMfHi45DREREVOB4bNmM0K96wyAtGeemdsSxP/4QHYmIiIg0oG5thTOliIiIiChP6Td4CIrHBiDNwBjdx84RHYeIiIhyCItSRERERJSnKJVKPN63EjIpA0ElamLJnFmiIxHROxo3+Baeh05hSO/eoqMQkQ5jUYqIiIiI8pxFq9egdMh5AIBJo4EoXqyo4ERE9LZBP46Ev11D1Oo3TXQUItJhLEoRERERUZ7kPmkMCqXEI8bECiuXrxAdh4j+z9KiCCJKNQQAyB6cEhuGiHSavugAREREREQfcveBL0xv7YKNtQOmTOFsDKK8Yon7z4gwNociOQ7jp0wXHYeIdBiLUkRERESUZw0cPlJ0BCJ6R0bF5gCAEkHn8ComWnAaItJlvH2PiIiIiHSCXC5Hl7ZtRccgKtBmTxyPyMIOkCvTsW7FMtFxiEjHsShFRERERHle1/YdsOGPh/h2wgaUtLYVHYeowCrXsAMAwC7iL5y/dlVwGiLSdSxKEREREVGed/uff5BkWBjxiqJYumq16DhEBZY8PhzGqYm4ccxTdBQiygdkACTRIfISMzMzxMXFwdzcHPHx8aLjEBEREdH/bVi5DK8ajICeMh2Plg3E1j27RUciKpAsLYpwLSki+ih1ayucKUVEREREOmHIqJ9g+9IXGXJ9uPSfIDoOUYHFghQRaQuLUkRERESkM85vXQQ9ZTrCilbCxlXLRcchKjBWuM/FygXzIZfLRUchonyERSkiIiIi0hlb9+yGQ8BJAEByzZ4oX9ZRcCKigsG4Xi8kNRuH7Zs2io5CRPkIi1JEREREpFPG/jgcZkkvUSg1FrWqfSk6DlG+t3j2DESb2kA/PRXLlq8QHYeI8hF90QGIiIiIiDQRGh6GC4uG4NDJE0hJSRUdhyjfs/7me4QAsAu/its+PqLjEFE+wqIUEREREekc78OHRUcgKhB6uboipNibGYln9noITkNE+Q1v3yMiIiIineVgZwev3w5h85pVoqMQ5Utteg4AZDKUfOmLTTt3io5DRPkMi1JEREREpLPc58/Ds7ItkVC9B76qUkV0HKJ8xdmpHEJs6wMAom8eE5yGiPIjFqWIiIiISGeN+HEULBJf4LWRGSbOXSI6DlG+8l2DBjBNfoXCiS/w09QZouMQUT7EohQRERER6axXMdFIPLcZABBQygUTR44QnIgo/1izdRuGuJTGwWm9oFQqRcchonyIRSkiIiIi0mnjZsyCfcQNSDI9OHUYCblcLjoSUb5y6vw50RGIKJ9iUYqIiIiIdN7upTNgkJaMyMKlsW3jetFxiHTeumVLUL6so+gYRJTPsShFRERERDrv2B9/wPbxIQBAbMV2MDczE5yISHcN69sHMQ1HYujum6hcoaLoOESUj7EoRURERET5wsAhQ1A28DTOuw9AXHy86DhEOsulYy8AgFXsE9x79FBwGiLKz/RFByAiIiIi0oakpCR07dBadAwinVajajUEW38DAAi9ckhwGiLK7zhTioiIiIjypdkTx0OhUIiOQaRTxk2YiHR9Q1jGh2Hi7Lmi4xBRPseiFBERERHlO56HTsKw6zxsWr9OdBQinaFQKBBV+jsAgPGTU4LTEFFBwKIUEREREeU76a9CAQDhFTqgmUsjwWmIdMNy97lIKFQExqmJmDJtlug4RFQAsChFRERERPnOgKFDUSwuCKkGxug7cY7oOEQ6obBtGUCSYBtyAaHhYaLjEFEBwKIUEREREeU7KSmpCDj4CyBJCLSujYUzp4mORJTnuXXuAN/53bF2yQLRUYiogJABkESHyEvMzMwQFxcHc3NzxPNRwkREREQ6zfPwafiXckGRhHBMaP0F4vj5joiIKMepW1vhTCkiIiIiyrcWTx8P45QERJtaY8P6jaLjEOVJtatVR4+OHUTHIKICiEUpIiIiIsq3bt69gyI+3lAkxyHhZbjoOER50pjJk1Fl6h54/XZIdBQiKmD0RQcgIiIiIspJfQcPhbPTEjx48lR0FKI8x9KiCCLsGkGS6SHhRbDoOERUwHCmFBERERHleyxIEX3YEvefkWRsDkVyHMZPmS46DhEVMCxKEREREVGBsW39Wmw9+wA2ViVERyHKEzIqNgcAlAg6h1cx0YLTEFFBw6IUERERERUI5cs6Iu7LLoiwcMTy1WtExyESbvbE8Ygs7AC5Mh3rViwTHYeICiAWpYiIiIioQHj8zA8mt3cDAILKtEQvV1fBiYjEKtfwzRP37CL+wvlrVwWnIaKCiEUpIiIiIiowBg4fCZtXj6CUG6DpkGmi4xAJ42jngBdFnAEAt457CU5DRAUVi1JEREREVKBc3rEIehlKhBb7AuuWLREdh0gIv+BArOteE0UvrcHiNetExyGiAopFKSIiIiIqUDbt3InSAacAAOm1e8HRzkFwIiIxHj/zw+CRY0THIKICjEUpIiIiIipwJowZAdPX0UgoVASTxo8WHYcoVzWqW090BCIiAIC+6ABERERERLktMDgYyX+sgTI1DYPmuYuOQ5Srui7YDTdJwoPd87BiwybRcYioAGNRioiIiIgKpPEz54iOQJTrFs6agWhTG+inp+Litb9FxyGiAo637xERERFRgdejYwe4z+DT+Cj/s63zPQDALvwqbt69IzYMERV4nClFRERERAXa3KmTYdR+GgzTXqOy12+49+ih6EhEOaKXqytCin0JADj3207BaYiIdGSmlIODAzZv3oxnz54hKSkJT58+xaxZs2BgYJBpXJUqVXDhwgW8fv0aQUFBGD9+vKDERERERKQr1mzaCkVKLJKMzTFt4XLRcYhyTJueAwCZDLYvfbHBw0N0HCIi3ShKVaxYEXp6ehgyZAi++OILjBkzBkOHDsX8+fNVY8zMzHDq1CkEBgaiRo0aGD9+PGbNmoVBgwYJTE5EREREed3zFxFIu7gVABBQqhHGDB0iOBGR9jk7lUOIbX0AQMzN3wWnISJ6QwZAEh0iO8aNG4dhw4bB0dERADB06FDMmzcP1tbWSEtLAwC4u7ujffv2cHZ2Vvu8ZmZmiIuLg7m5OeLj43MkOxERERHlPbtOXEOQVXVYxTzD4KZfQKlUio5EpDU7Nm1AWI1+KJz4Aj82dODPNxHlKHVrKzoxU+pDChcujFevXqm269SpgwsXLqgKUgBw8uRJVKxYERYWFlmex9DQEGZmZpkaERERERU83stnQj89FS8symLr+rWi4xBpVf+hP8Dk9BJkXPuVBSkiyjN0sijl6OiIH3/8ERs2bFD1WVtbIyIiItO4f7etra2zPNfkyZMRFxenaqGhoTkTmoiIiIjytEMnT6LUkyMAgFdVuqB2teqCExFpj1KpxMiJUzBi/CTRUYiIVIQWpdzd3SFJ0kdbhQoVMh1ja2uLEydOYO/evdi8ebNWMpibm6tayZIlP/ucRERERKSbhgwdjGJxwbAJOoeQ8HDRcYi0wpx3gxBRHqUv8sWXLl2K7du3f3TMs2fPVF/b2Njg3LlzuHLlCgYPHpxpXHh4OEqUKJGp79/t8I98oEhNTUVqaqqGyYmIiIgoP4qLj8eI5s5ISeHnQ8ofhvXtg/JDlsMm5DzcOncQHYeIKBOhRamoqChERUWpNdbW1hbnzp3DzZs30a9fP0hS5vXZr169innz5kFfXx/p6ekAgKZNm+Lhw4eIiYnRdnQiIiIiyqfeLkgZGRm+10ekS1w69oK/kSnSzEuJjkJE9B6dWFPK1tYWf/75J4KCgjBu3DgUL14cJUqUyDQzavfu3UhNTcWWLVtQqVIldOnSBaNGjcKyZcsEJiciIiIiXTV97BisPvkAW95ax5RIl9SoWg3B1t8AAMKuHhGchojofUJnSqmradOmcHJygpOT03sLkctkMgBAXFwcmjVrhjVr1uDmzZuIiorCnDlzsGnTJhGRiYiIiEjHVfyyGoLM7WDo3BGN6m7GuSuXRUci0si4CRMQoG8Iy/gwDJk1R3QcIqL3yABInxxVgJiZmSEuLg7m5uaIj48XHYeIiIiIBDEyMsQvJx/ipXkplH5+Fd1au4iORKQ2hUKBhaf9kVCoCGxvbUefgYM/fRARkZaoW1vRidv3iIiIiIhyW0pKKkJ/XwsACLCpg7lTJwtORKS+ZfPnIqFQERinJmLKtFmi4xARfRCLUkREREREWZi9aAlKh14EABRvNgQKhUJwIiL1GFVpDgCwDbmA0PAwwWmIiD6MRSkiIiIioo/4ZfZEGKcm4pWZLTZv3Cg6DpFa/tq5CGVCLuDXjWtFRyEiyhLXlHoH15QiIiIiond5bNmE0K/6wPblA/RpWlV0HCIiojyNa0oREREREWlJv8FDUeTCavRvUV10FCIionyDRSkiIiIiok9QKpUYOvonKJVK0VGIPmrP7j3Y9ftljB02VHQUIqJPYlGKiIiIiEgD5cs6Ys8eTxQvVlR0FKJMLC2K4EXppgiyroUvvqwsOg4R0SexKEVEREREpIHxW08ioEJHrFrNBaQpb1k8/2ckGZtDkRyHcZOni45DRPRJLEoREREREWlA/uAEACDEsQ26tu8gOA3RfyTn5gCAEsHn8ComWnAaIqJPY1GKiIiIiEgD/YeNgHX0E6TLDdBm2BTRcYgAADMnjENkYQfIlenYsHKF6DhERGphUYqIiIiISEM3di2BXoYSIcWrYvXiBaLjEKF8o44AALuIv3DuymXBaYiI1MOiFBERERGRhtZs3QaHwD/ebNTpg5LWtmIDUYHWrnlzhBT/CgBw45in4DREROpjUYqIiIiIKBtmjB8Nk9cxiFcUxdJVq0XHoQLMLyAQ9o8OwCH8OpauWy86DhGR2vRFByAiIiIi0kWPn/nB8O9fUbRCHezavEF0HCrA7j16iG49uouOQUSkMRkASXSIvMTMzAxxcXEwNzdHfHy86DhERERERERERDpF3doKb98jIiIiItKS2tWqi45ABczuYxewZe1qmJuZiY5CRKQxFqWIiIiIiD5T7WrVsev4FfRYcwLOTuVEx6ECYuGsGQi0+QavavaFU1lH0XGIiDTGohQRERER0WcKCQ9HtFkZJBaywMyFK0THoQLCts73AAC78Ku4efeO2DBERNnAohQRERER0WcKDQ+DdGUHACDQvjF+HNBfcCLK73q5uiKk2JcAgHO/7RSchogoe1iUIiIiIiLSgh8nTIJd5F1k6MlRvfs40XEon2vTcwAgk8H2pS82eHiIjkNElC0sShERERERacnhNT9DX5mG8CLlsG39WtFxKJ9ydiqHENv6AIDYW78LTkNElH0sShERERERaYn34cMo9fQIACC2qhu+qlJFcCLKj6ZNm45UA2MUTnyBMVOmi45DRJRtLEoREREREWnR8GHDYJEQAT1JiRbfNRQdh/KhiJAglIh5isLPzkCpVIqOQ0SUbTIAkugQeYmZmRni4uJgbm6O+Ph40XGIiIiISAcN6d0bF65ewYMnT0VHISIiynXq1lb0czETEREREVGBwIWniYiIPo237xERERER5RC5XI4dmzdi67rVoqNQPjCoVy94enrD5Zs6oqMQEWkFi1JERERERDlk0+qVCKveFzFf9UT9r2uLjkM6rnHn3vAv3x6DZq0QHYWISCtYlCIiIiIiyiEjxk6AZXwYUgwVGD5jgeg4pMNqVK2GYOs3M6RCrx0TnIaISDtYlCIiIiIiyiFJSUl4cXI9ACDAth5mTxwvOBHpqnETJiBd3xCW8WGYOGuO6DhERFrBohQRERERUQ6aPn8BSoddAQDYtBoGhUIhOBHpGoVCgajSjQEAxk9OCU5DRKQ9LEoREREREeWw9XMnwyg1CS/NSmHT+vWi45COWTZ/LhIKFYFxaiKmTJslOg4RkdawKEVERERElMPOX7sKqwf7AQDhFdrB2amc4ESUl3l674en117VtlGVFgAA25ALWLpyJTy994uKRkSkVSxKERERERHlggFDh6J02BXE7fsZD548FR2H8jJJCX+ndvD02gtLiyIwTo6EfnoqJD05/J3aAZJSdEIiIq2QAZBEh8hLzMzMEBcXB3Nzc8THx4uOQ0REREREBZCn1174O7VDmSeH4Na1Mzz3HoC/Y2vVNhFRXqZubUU/FzMREREREdH/9XJ1xbEzZ/EqJlp0FMoDihcrih6uHVG5ShWYWpWC0twW5olR8Hdqh4V/J8Ffrs+CFBHlOyxKERERERHlst07dyKkoitauR5Ct+7dRMehXFS8WFFERr1UbXvtO4RXVjUQW6gYJD09RAKIfGu8XkY6MuT60FOmsyBFRPkOi1JERERERLks9XUilHJ9hJT7Hh1btsb+48dERyItc7RzQJeObVHe2RmK4qWQalYScQobJBgXwZIWpVSFqQyjwogxsQIAGKa9hkViOBRJoZBiwoAidgi0qQM95ZvClKfXXhamiChf4ULnRERERES5bMCw4SgR44d0fUN0HDVDdBz6DM5O5TB97BgoFApVn+fB4xh46AnM+yxF+NcD8axMC4QUq4I4RTFk6MnRw7WjauydU7/B4Jg7Lk1ohbG1C2PAdxXQrc130DMwQqBNHZR5cggTaylQ5skh1eLnRET5BRc6fwcXOiciIiKi3DB6yCBYD/oFkp4eFKcWY9SkqaIj0UdUrlARru3aoGz58jAuWhIppiURq7BBQqEiAAC/pX2xedduAMAeTy8ElO8A45QEWCQ9R6HEMCijwxAW4IcTf/yJMxcvfPS13l3k/FP9RER5DRc6JyIiIiLKw1Zs2ASvFh3wzKEJ9Ov3g43VKjx/ESE6VoFXo2o1tG/dAg6O5bBl0xacv3YVADDt5/nwL9cGYR84RpEch7JlSqu2f1myGAb6K1THakwm/2Dhya1r5zczpWTy7J2XiCiP4Uypd3CmFBERERHllsoVKmLQtotIMi6MMk+PwK2Lq+hIBUovV1c0b9Ma+pYlkWxii1iFDZKMzVX7TU4vwciJUwAAm1Ytx+uaPVE46TmMEkKR+jIUgX5PcfT3U7h+55aot0BElCdxphQRERERUR5379FDmNzag5TaAyClp4qOky81qlsPLZo2Qsmy5aBfpCTunjkM95W/vNnXtDGCq/Z87xjT19EonPQcz18nq/oGjRwDYExuxSYiKhBYlCIiIiIiEmjgiJH4vtkxHDl1UnSUfGF4/35o0L4HkkzfzHxKNjRBBoDg/++vXOO/G/Du3LyFmmXvwyghFK+jQuD36BF+O3wEIMd53wAAG/NJREFUD548FZKdiKigYVGKiIiIiEgwFqTU1655czT8tj5K2JeGzMIWr01KQvb4LPoN/QEAYFW8GPxLffvfAZIE89cvYZ70HIbxofC956PatWrTZmDT5tx+C0RE9H8sShERERER5RE/T5kEh4adMXtAR/gFB4qOI4xcLod18RIIDX8zq2lgj+74ZuAsxCqskWpgjGQAb1+dMtYBqq/3HjyC6bXqIzEyGA/vP8Cu3w6ozkNERHkLi1JERERERHmAuZkZirQejdBClpi/YhW6urYTHSnHyeVydG/fHrW/qYWiJR2AwrZIMCmJGIU17EP+RNeObQAAT/z84Vi4NABAlpGBwkmRMEsKg358GBJeBOPEhcuqc9579BBdO+X/a0dElB+wKEVERERElAfExcdD7/pOoOEoBDg0w5DevbHBw0N0LK0wMjJEt/YdYGRkpHpPjerWQ6uVp5AuN0A8gHefzZRiaqP6+vy1q+h2YTXu+9zDrn0H8ComOvfCExFRjpEBkESHyEvUfWwhEREREVFO8Dh1E6HFqsDm1SP0bVJFdByNDerVCzWqV4OFjT2U5rZIMLFFrKIElHJ92EXeQc/mX6vGLr0eh3Q9fVgkvYBpUhjkcaGIDQ/Gndt3sWvffsTx8zgRkU5St7bCmVJERERERHnIyfVzUXXyr3huWQGb1/yCgcN/FB3pPZYWRdCtY3tUrfYlJEnCkFE/AXgzI6r8yPWIlhvg3blMcmXae+e5+nMP/H72DJKSknIhNRER5TWcKfUOzpQiIiIiItE8vfbC36kdFMlx2NSvPu49eig0z/oVy2BhWxpKc1vEK2wRqyiODD05AMAyPgxDXEqrxm496wulniFMEsMgiwvDy5AAXL/2N7yPHkFKSqqgd0BERLlJ3doKi1LvYFGKiIiIiESzsSqB6ftuIdakOBzue6J7r945/nrdXTvAufIXMC1hB+jpw+3/i4wDwPoLQYg2tc50jEF6CiwSw2EaHwi3tk1yNB8REekW3r5HRERERKSjnr+IQOLZDbC2tkH3IcNy5DV279wJpZUz4kxsEV/IEpJMD5EAIgHop6dCLpdDqVQCACwibqJwnAWkmFC8CA7AhQtXsf/4sRzJRUREBQdnSr2DM6WIiIiIKK/w9N4PSEq4de38/j6vvYBMDrcuHd/b5+xUDp3afg/HChVQqFgppJjaItnIAoNdyqrG7Dx5AyHFv1RtG6UmwSLpOQolhkGKCcWoMWMQGfUyZ94YERHla5wpRURERESk6yQl/J3awXPvATy4fgmzlywF8N+aU2X8Ms9W8tx7AJG2dZFQqAgA4Pk7p2vRqBFOnDsHAIi/fw72Re8jLMAPp89exKnz53L87RAREb2NRSkiIiIiojzKrWtneB48AX/H1jB1aIqdlSohpXR9+FuUgUFaMvwdW6NuzZq4cuMGAECmb6gqSBVKiUfhpOcolBCG9OhQBD/zw937vqpz//DTeCHviYiI6F8sShERERER5WGDe3XG7FOBSDYyRUi1Xqr+NANjAEDzxo1URamzB7zgYH8ZR0+cUvURERHlVSxKERERERHlYXHx8Yjymg3TXosAmQwyKQO2d3Yi4MkTHDp+Cjfv3lGN3eDhIS4oERGRhliUIiIiIiLK46rUqQ9/mQx6ynRkyPVhaGqBGQsWiY5FRET0WfREByAiIiIioqypFjV/cggTaylQ5smhN4ufe+0VHY2IiOizsChFRERERJRHvV2QcuvaGcCbxc9ZmCIiovyARSkiIiIiorxKJs9UkPrXv4UpyOSCgv2vvXsPjrI83zh+bQ6EIgngIIkUiJxyaMGkUEQFCefSAToiE7BAEyhg6dhSQJDUGQGttVZwqAekSDGCUKSCQMSxUEoEkiKHAKNCQJCTSSBoiNkshhDh/v3zY8cVAtFk3w3u9zNzz2TfffO8z/NcWZK52QMAALXnkmSBnkR9EhkZKbfbraioKJWXlwd6OgAAAAAAADeVmvZWeKYUAAAAAAAAHEdTCgAAAAAAAI6jKQUAAAAAAADH0ZQCAAAAAACA42hKAQAAAAAAwHE0pQAAAAAAAOA4mlIAAAAAAABwHE0pAAAAAAAAOI6mFAAAAAAAABxHUwoAAAAAAACOoykFAAAAAAAAx9GUAgAAAAAAgONoSgEAAAAAAMBxNKUAAAAAAADgOJpSAAAAAAAAcBxNKQAAAAAAADguLNATqK8iIyMDPQUAAAAAAICbTk17KjSlvuHKxhUWFgZ4JgAAAAAAADevyMhIlZeXV3u/S5I5N52bQ8uWLa+7aTeDyMhIFRYW6oc//OFNvxbUHLkHL7IPTuQenMg9eJF9cCL34ETuwen7lntkZKSKioquew7PlLqGG23azaS8vPx78cOMb4fcgxfZBydyD07kHrzIPjiRe3Ai9+D0fcm9Jmvgjc4BAAAAAADgOJpSAAAAAAAAcBxNqe+pyspKzZkzR5WVlYGeChxE7sGL7IMTuQcncg9eZB+cyD04kXtwCsbceaNzAAAAAAAAOI5nSgEAAAAAAMBxNKUAAAAAAADgOJpSAAAAAAAAcBxNqXoqIyNDu3btktvtVnFxsdauXau4uDifcyIiIvTSSy/p888/V3l5uVavXq0WLVr4nPP8889rz549unDhgvbt23fNa3Xu3Fnbtm1TRUWFTp06pRkzZvhtXbgxp7KPiIhQZmamPvjgA1VVVWnt2rV+XReuz6ncU1JStG7dOhUVFcnj8Wjfvn0aNWqUX9eG6jmVe1xcnLZs2aIzZ86ooqJCn3zyif70pz8pLCzMr+tD9Zz8PX9F+/bt5Xa7VVpaWufrQc04lXtsbKzM7Krq3r27X9eHa3P68f7II4/o8OHDunDhggoKCvTYY4/5ZV24Maeynz179jUf8x6Px6/rw7U5+ZgfOHCgduzYIbfbrbNnz2r16tWKjY3129r8gaZUPZWSkqIFCxbo7rvv1oABAxQeHq5NmzapUaNG3nPmz5+voUOHKjU1VSkpKWrZsqXeeuutq8Z69dVXtWrVqmteJzIyUps2bdLJkyfVtWtXzZgxQ3PmzNHEiRP9tjZcn1PZh4aGqqKiQi+88II2b97st/WgZpzK/d5779UHH3yg4cOH684771RmZqaWLVumwYMH+21tqJ5TuVdVVWnZsmUaOHCg4uPjNWXKFE2cOFFPPPGE39aG63Mq+yvCwsK0cuVKbd++vc7XgppzOvd+/fopJibGW3l5eXW+JtyYk7k///zzmjBhgqZPn66EhAT94he/0K5du/yyLtyYU9nPmzfP57EeExOjAwcO6M033/Tb2lA9p3K/4447tH79em3ZskXJycn62c9+pubNm19znPrOqPpfzZs3NzOz++67zyRZVFSUVVZW2vDhw73nxMfHm5lZ9+7dr/r+2bNn2759+646PmnSJCspKbHw8HDvsb/85S+Wn58f8DVT/s3+65WZmWlr164N+FopZ3O/Uhs2bLAlS5YEfM2Us7k/99xztm3btoCvmXIm+2eeecaWLVtm6enpVlpaGvD1Uv7NPTY21szMkpKSAr5GyrncExIS7OLFixYXFxfwNVLOZv/NuvPOO83MrGfPngFfM+W/3IcPH24XL140l8vlPTZkyBC7dOmShYWFBXzdNS2eKXWTaNKkiSTp3LlzkqSuXbuqQYMGPs9wOXz4sE6ePKl77rmnxuPec8892rZtm6qqqrzHNm7cqISEBDVt2rRuJo9a8Vf2qN+czL1Jkybe6yCwnMq9ffv2GjRokLZu3Vq7CaPO+DP7Pn36KDU1VQ8//HDdTRh1wt+P+aysLBUXF2v79u0aOnRo3Uwateav3IcOHapjx45pyJAhOnbsmI4fP67FixerWbNmdbsAfGdO/Z6fMGGCDh8+rJycnNpNGHXCX7nn5eXp8uXLGjdunEJCQhQVFaVf/epX2rx5s7766qu6XYQf0ZS6CbhcLv3tb39TTk6ODhw4IEmKiYlRZWWlysrKfM4tLi5WTExMjceOiYlRcXHxVWNcuQ+B5c/sUX85mXtqaqq6deumzMzMWs0ZtedE7rm5uaqoqNDRo0e1fft2zZo1q07mjtrxZ/a33nqrXnvtNY0dO1bl5eV1Om/Ujj9z93g8mjZtmlJTUzV48GDl5ORo3bp1NKbqAX/m3q5dO8XGxio1NVVpaWkaO3asunbtqtWrV9fpGvDdOPX3XUREhEaPHq0lS5bUes6oPX/mfuLECQ0cOFBPP/20d7xWrVppxIgRdboGf+MdTm8CCxYsUKdOndSzZ89ATwUOI/vg5FTuvXv3VmZmpiZOnKiDBw/69Vq4MSdyHzlypCIjI5WUlKS5c+dq+vTpmjt3rt+uh5rxZ/aLFy/WP//5T95Lqh7yZ+4lJSWaP3++9/aePXvUsmVLzZgxQ2+//XadXw8158/cQ0JC1LBhQ6WlpenIkSOSpPHjx2vv3r2Ki4vTxx9/XOfXRM059ffdsGHDFBkZqaVLl/r1OqgZf+YeHR2txYsXa+nSpVq5cqUiIyP15JNPavXq1RowYECdX89feKZUPffiiy9qyJAh6tOnjwoLC73Hz5w5o4iICO9TAa+Ijo7WmTNnajz+mTNnFB0dfdUYV+5D4Pg7e9RPTuXeq1cvvf3225o6dapef/31Ws8bteNU7gUFBcrPz9cbb7yhjIwMzZkzRyEh/CkQSP7Ovm/fvpo+fbqqqqpUVVWlJUuWqGnTpqqqqtK4cePqbB34dgLxO37nzp3q0KFDrcZA7fg799OnT6uqqsrbkJKk/Px8SVKbNm1qOXvUhpOP+QkTJmjDhg06e/ZsreaM2vN37g8//LDKyso0c+ZM7d+/X9u3b9eYMWPUv3//m+rTVvlLtB578cUXNWzYMPXt21cnTpzwuS8vL08XL15Uv379vMfi4uIUGxurHTt21PgaO3bsUK9evXw+FnzAgAE6dOiQvvjii9ouAd+RE9mj/nEq95SUFL3zzjuaOXOmFi9eXBdTRy0E6vEeEhKi8PBwmlIB5ET299xzj5KTk701a9Ysud1uJScna+3atXW1FHwLgXrMJycn6/Tp07UaA9+dE7nn5uYqPDxc7dq18xlHkk6ePFm7BeA7c/Ixf8cdd6hPnz68dK8ecCL3Ro0a6fLlyz7HLl26JEk33d93AX+3derqWrBggZWWllqvXr0sOjraWw0bNvSe8/LLL9uJEyesd+/e1qVLF8vNzbXc3Fyfcdq3b29JSUm2cOFCO3TokCUlJVlSUpL30/aioqLs9OnTtnTpUvvRj35kI0aMMI/HYxMnTgz4HgRrOZW9JEtMTLSkpCRbv369bdmyxXtOoPcgGMup3Hv37m0ej8f+/Oc/+1ynWbNmAd+DYCynch81apSlpqZaQkKCtW3b1lJTU62goMBef/31gO9BsJaT/9Z/vfj0veDIPS0tzR588EGLj4+3+Ph4++Mf/2hfffWVjR07NuB7EIzlVO4ul8v27Nlj7733niUnJ1uXLl1sx44dtnHjxoDvQbCW0//WP/nkk1ZQUGAhISEBX3swl1O59+nTxy5dumSPP/64dejQwX7yk5/Yu+++a8ePH/e51k1QAZ8AdY2qTnp6uveciIgIe+mll6ykpMQ8Ho+tWbPGoqOjfcbJzs6+5jixsbHeczp37mzbtm2ziooK+/TTT+3RRx8N+PqDuZzM/vjx49c8J9B7EIzlVO6ZmZnXvD87OzvgexCM5VTuI0aMsD179pjb7bby8nL76KOPLCMjwyIiIgK+B8FaTmX/zaIpFRy5p6Wl2YEDB8zj8dgXX3xh77//vs9Hj1Pfz9wl2e23326rV682t9ttp0+ftldffZX/eAqS7F0ul506dcqeeuqpgK872MvJ3EeOHGl5eXlWXl5uxcXFtm7dOouPjw/4Hnybcv3/FwAAAAAAAIBjbq4XGgIAAAAAAOB7gaYUAAAAAAAAHEdTCgAAAAAAAI6jKQUAAAAAAADH0ZQCAAAAAACA42hKAQAAAAAAwHE0pQAAAAAAAOA4mlIAAAAAAABwHE0pAACA68jMzNTatWsDPY0amT17tvbt2+e9fTPNHQAABB+aUgAAoF66++679dVXX2nDhg2BnkqtZWdny8xkZrpw4YIKCgqUlZWlYcOG+fW6f/jDHzR27Fi/XsNJ32y6AQCAmxtNKQAAUC+NHz9eL774onr16qXbb7890NOptVdeeUUxMTFq3769hg8froMHD+qNN97QokWL/HZNt9utsrIyv40PAABQGzSlAABAvXPLLbdo5MiRWrhwod55552rnu2TkpIiM1Pfvn21e/dunT9/Xrm5uYqLi/M5b9KkSTp69KgqKyt16NAhjRkz5rrXDQkJ0XPPPafS0lJ9/vnn+utf/yqXy+VzjsvlUkZGho4dO6Yvv/xS+/fv1/Dhw2+4pi+//FLFxcUqLCzUzp07lZGRod/85jd66KGH1K9fP+95rVq10qpVq1RaWqqSkhKtW7dOsbGxPmvfuXOnPB6PSktLlZOTozZt2lzzmt98+V7jxo21fPlyeTweFRUVacqUKcrOztb8+fO954wZM0a7d++W2+3W6dOntWLFCt12220+1zczDRw4UHv37tWXX36p//73v7rttts0aNAgHTx4UGVlZVqxYoV+8IMf1HjfbpRpenq65syZo+TkZO+zztLT0yVJrVu31rp161ReXq6ysjKtWrVKLVq0uGEmAAAg8IyiKIqiKKo+1bhx42zXrl0myQYPHmxHjhzxuT8lJcXMzHbs2GG9evWyxMRE27p1q+Xk5HjPuf/++62ystJ++9vfWseOHW3q1KlWVVVlvXv3rva6M2bMsJKSEhs2bJglJCTY4sWLrayszNauXes957HHHrODBw/awIEDrW3btpaenm4VFRXWq1evasfNzs62+fPnX3Xc5XJZSUmJLViwwCRZWFiYHThwwP7xj39Yp06dLCEhwZYvX275+fkWHh5uoaGhVlpaas8++6y1a9fOEhISLC0tzVq3bm2SbPbs2bZv3z7v+JmZmT5zf+WVV+z48ePWt29f+/GPf2xr1qyxsrIyn7mNGzfOBg0aZG3btrXu3btbbm6uvfPOO1ft/f/+9z+79957LTk52T7++GPLzs62f//735acnGw9e/a0zz77zB599NEa79uNMm3YsKHNnTvXPvzwQ4uOjrbo6Ghr2LChuVwu27t3r23bts26dOlid911l+3evduys7MD/nNMURRFUdQNK+AToCiKoiiK8qmcnBybPHmySbLQ0FA7e/aspaSkeO+/0sDo27ev99jPf/5zMzOLiIjwjrFo0SKfcVetWmUbNmyo9rqFhYU2ffp07+3Q0FA7deqUt7HToEED83g8dvfdd/t83+LFi23FihXVjltdU0qS7dixw9v0GT16tOXn5/vcHx4ebufPn7cBAwZYs2bNzMyqbYBdrynVuHFjq6ystOHDh3vvj4qKMo/HU+3cJFnXrl3NzOyWW26pdu9nzpxpZmZt27b1Hlu4cKG9++67Nd63mmT6zfVJsv79+1tVVZW1atXKeywxMdHMzH76058G/GeZoiiKoqjqi5fvAQCAeiUuLk533XWXVq5cKUm6dOmSVq1apfHjx1917gcffOD9+vTp05LkfdlWYmKicnNzfc7Pzc1VYmLiNa8bFRWlli1baufOnd5jly5d0p49e7y3O3TooFtuuUX/+c9/VF5e7q20tDS1b9/+O63X5XLJzCRJSUlJ6tChg8/Y586dU8OGDdW+fXuVlpYqMzNTGzduVFZWliZPnqyYmJgaXaddu3Zq0KCBdu3a5T3mdrt1+PBhn/O6dOmirKwsnTx5Um63W1u3bpWkq14i+PW9Ly4u1vnz53X8+HGfY1ey+Db7dr1MryUxMVGffvqpCgoKvMfy8/NVWlpabdYAAKB+CAv0BAAAAL5u/PjxCg8PV1FRkfeYy+VSZWWlfve738ntdnuPV1VVeb++0tgJCfHf/7k1btxYkjR48GAVFhb63FdZWfmtxwsJCVHHjh21e/du7/h5eXkaPXr0Ved+9tlnkqRf//rXeuGFFzRo0CCNHDlSTz31lAYMGODTTPuuGjVqpI0bN2rjxo0aPXq0PvvsM7Vp00abNm1SgwYNfM795t5//faVY1ey+Db75nSmAAAgcPgNDwAA6o3Q0FClpaVp2rRpSk5O9lZSUpKKior0y1/+ssZj5efnq0ePHj7HevTooYMHD17zfLfbraKiInXv3t1nPl27dvXePnjwoC5cuKA2bdrok08+8amvP1OnptLT03XrrbdqzZo1kqS9e/eqY8eOOnv27FXjf70Zt3//fj3zzDPq0aOHPvroI40aNeqG1zp27JguXryobt26eY9FRUX5vDl8QkKCmjdvroyMDOXk5Ojw4cN18obhdbVvFy9eVGhoqM+x/Px8tW7dWq1atfIeS0xMVLNmzarNGgAA1A88UwoAANQbQ4YMUbNmzbRkyRKfJowkrVmzRuPHj9eiRYtqNNbcuXP1r3/9S/v27dPmzZs1dOhQPfDAA+rfv3+13/P8888rIyNDR44c0aFDhzRt2jQ1bdrUe7/H49G8efM0f/58hYSEKCcnR02aNFGPHj3kdru1bNmyasdu1KiRoqOjFRYWplatWmnYsGGaOnWqXn75Zb333nuSpBUrVmjGjBlav369Zs2apYKCAsXGxuqBBx7Qs88+q/DwcD300EPKyspSUVGR4uPj1bFjx+te9+tzX7p0qebOnatz587p7NmzeuKJJ3T58mXvM5JOnTqlyspK/f73v9ff//53derUSY8//niN9vtG1/6u+/Z1J06cUNu2bZWUlKSCggKVl5dr8+bN+vDDD7VixQpNmTJFYWFh3j3Ny8ur9dwBAIB/BfyNrSiKoiiKoiRZVlZWtW9E3q1bNzMz69y5s/dNsZs0aeK9PykpyczMYmNjvccmTZpkR48etcrKSjt06JCNGTPmutcPDQ21+fPn2xdffGHnzp2zefPm2WuvvebzCXaSbPLkyZafn2+VlZVWXFxs7777rt13333VjpudnW1XXLhwwQoLCy0rK8vuv//+q86Njo621157zc6ePWsVFRV29OhRW7RokUVGRlqLFi3srbfessLCQrtw4YIdP37c5syZYy6Xy6Qbf/pe48aNbfny5ebxeKyoqMimTJli77//vj399NPecx588EE7duyYVVRUWG5urg0ZMsTMzJKSkkzSNfc+PT3dSktLfdZxrTclv96+1STTBg0a2Jtvvmnnzp0zM7P09HSTZK1bt7Z169ZZeXm5lZWV2apVq6xFixYB/3mmKIqiKOr65fr/LwAAABBkGjVqpMLCQj3yyCN69dVXAz0dAAAQZHj5HgAAQJBITk5WQkKCdu3apSZNmmjWrFmSpPXr1wd4ZgAAIBjRlAIAAAgi06dPV3x8vC5evKi8vDzdd999KikpCfS0AABAEOLlewAAAAAAAHBcSKAnAAAAAAAAgOBDUwoAAAAAAACOoykFAAAAAAAAx9GUAgAAAAAAgONoSgEAAAAAAMBxNKUAAAAAAADgOJpSAAAAAAAAcBxNKQAAAAAAADiOphQAAAAAAAAc939MupgWnW2+uAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Converta a coluna 'Data_de_Desligamento' para o tipo datetime, caso ainda não seja\n", + "df_rh['Data_de_Desligamento'] = pd.to_datetime(df_rh['Data_de_Desligamento'])\n", + "\n", + "# Filtrar o DataFrame para selecionar apenas funcionários que não estão mais ativos (demitidos)\n", + "df_funcionarios_demitidos = df_rh[df_rh['Status_Emprego'].str.contains('.*Demissão.*')]\n", + "\n", + "# Extrair o ano de desligamento da coluna 'Data_de_Desligamento' e contar o número de funcionários demitidos por ano\n", + "contagem_por_ano_demitidos = df_funcionarios_demitidos['Data_de_Desligamento'].dt.year.value_counts().sort_index()\n", + "\n", + "# Defina uma paleta de cores personalizada\n", + "paleta_cores = {\n", + " 'Produção': 'orchid',\n", + " 'Tecnologia da Informação/Sistemas': 'darkcyan',\n", + " 'Engenharia de Software': 'rebeccapurple',\n", + " 'Escritórios Administrativos': 'gold',\n", + " 'Vendas': 'lightcoral',\n", + " 'Escritório Executivo': 'lightskyblue'\n", + "}\n", + "\n", + "# Crie uma figura maior\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Crie um gráfico de linhas para cada departamento com cores personalizadas\n", + "for departamento, cor in paleta_cores.items():\n", + " plt.plot(contagem_por_ano_demitidos.index, -contagem_por_ano_demitidos, label=f'{departamento} (Demitidos)', linestyle='dashed', color=cor, marker='x')\n", + "\n", + "# Configure rótulos e título\n", + "plt.title(\"Número de Pessoas por Departamento ao Longo dos Anos (Demitidos)\")\n", + "plt.xlabel(\"Ano de Desligamento\")\n", + "plt.ylabel(\"Número de Pessoas Demitidas\")\n", + "\n", + "# Adicione a legenda\n", + "plt.legend(title=\"Departamento\")\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Tipos de Demissões no Departamento de Escritórios Administrativos" + ] + }, + { + "cell_type": "code", + "execution_count": 541, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Filtre os dados para obter demissões no departamento de Escritórios Administrativos\n", + "demitidos_escritorios = df_rh[(df_rh['Departamento'] == 'Escritórios Administrativos') & (df_rh['Status_Emprego'].str.contains('Demissão.*'))]\n", + "\n", + "# Calcule a contagem de tipos de demissões\n", + "contagem_tipos_demissoes = demitidos_escritorios['Status_Emprego'].value_counts()\n", + "\n", + "# Se não houver demissões, não crie o gráfico de pizza\n", + "if not contagem_tipos_demissoes.empty:\n", + " # Rótulos para a legenda\n", + " labels = contagem_tipos_demissoes.index\n", + " sizes = contagem_tipos_demissoes.values\n", + " \n", + " # Cores para os setores da pizza\n", + " colors = ['gold', 'lightcoral']\n", + " \n", + " # Destaque o primeiro setor (Demissão Voluntária)\n", + " explode = (0.1, 0) # Ajuste o valor de explode conforme necessário\n", + " \n", + " # Crie o gráfico de pizza\n", + " plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=140)\n", + " plt.axis('equal') # Assegure-se de que o gráfico seja uma circunferência.\n", + " plt.title(\"Tipos de Demissões no Departamento de Escritórios Administrativos\")\n", + " \n", + " # Exiba o gráfico\n", + " plt.show()\n", + "else:\n", + " print(\"Não há demissões no departamento de Escritórios Administrativos.\")\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Tempo Médio de Permanência na Empresa" + ] + }, + { + "cell_type": "code", + "execution_count": 625, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Média do tempo que os funcionários passaram na empresa: 2992.88 dias ou 8 anos\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Preencher valores vazios na coluna de desligamento com a data atual\n", + "data_atual = datetime.now()\n", + "df_recrutamento = df_rh.copy() # Crie um novo DataFrame para df_recrutamento\n", + "df_recrutamento['Data_de_Desligamento'] = pd.to_datetime(df_recrutamento['Data_de_Desligamento'], errors='coerce').fillna(data_atual)\n", + "\n", + "df_recrutamento['Data_de_Admissão'] = pd.to_datetime(df_recrutamento['Data_de_Admissão'], errors='coerce')\n", + "df_recrutamento['Tempo_na_Empresa'] = (df_recrutamento['Data_de_Desligamento'] - df_recrutamento['Data_de_Admissão']).dt.days\n", + "\n", + "\n", + "# Passo 4: Calcular a média do tempo de permanência na empresa\n", + "media_tempo_na_empresa = df_recrutamento['Tempo_na_Empresa'].mean()\n", + "\n", + "# Imprimir a média\n", + "print(f'Média do tempo que os funcionários passaram na empresa: {media_tempo_na_empresa:.2f} dias ou {(media_tempo_na_empresa/365):.0f} anos')\n", + "\n", + "# Filtrar funcionários que já foram embora\n", + "funcionarios_desligados = df_rh[df_rh['Status_Emprego'] != 'Ativo']\n", + "\n", + "# Filtrar funcionários que ainda estão na empresa\n", + "funcionarios_ativos = df_rh[df_rh['Status_Emprego'] == 'Ativo']\n", + "\n", + "# Calcular o tempo médio dos funcionários desligados e ativos\n", + "media_tempo_desligados = funcionarios_desligados['Tempo_na_Empresa'].mean()\n", + "media_tempo_ativos = funcionarios_ativos['Tempo_na_Empresa'].mean()\n", + "\n", + "# Preparar os dados para o gráfico\n", + "categorias = ['Funcionários Desligados', 'Funcionários Ativos']\n", + "tempos_medios = [media_tempo_desligados, media_tempo_ativos]\n", + "\n", + "# Criar o gráfico de barras\n", + "plt.figure(figsize=(8, 5))\n", + "plt.bar(categorias, tempos_medios, color=['plum', 'lightblue'])\n", + "\n", + "# Adicionar rótulos e título\n", + "plt.title(\"Tempo Médio de Permanência na Empresa\")\n", + "plt.ylabel(\"Tempo Médio (dias)\")\n", + "\n", + "# Adicionar os valores nas barras\n", + "for i, v in enumerate(tempos_medios):\n", + " plt.text(i, v, f\"{(v):.0f} dias ou {(v/365):.0f} Anos\", ha='center', va='bottom')\n", + "\n", + "# Exibir o gráfico\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Número de Funcionários por Desempenho" + ] + }, + { + "cell_type": "code", + "execution_count": 553, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Classificar o DataFrame pelo desempenho em ordem decrescente\n", + "df_rh_sorted = df_rh.sort_values(by='Pontuação_Performance', ascending=False)\n", + "\n", + "# Contar quantos funcionários têm o mesmo desempenho\n", + "contagem_desempenho = df_rh_sorted['Pontuação_Performance'].value_counts()\n", + "\n", + "# Defina as cores correspondentes a cada categoria\n", + "colors = {\n", + " 'Supera': 'darkcyan',\n", + " 'Atende Plenamente': 'orchid',\n", + " 'Necessita de Melhoria': 'rebeccapurple',\n", + " 'Plano de Melhoria de Desempenho': 'lightblue'\n", + "}\n", + "\n", + "# Crie um gráfico de barras para visualizar a contagem de desempenho\n", + "plt.figure(figsize=(10, 6))\n", + "plt.bar(contagem_desempenho.index, contagem_desempenho.values, color=[colors[p] for p in contagem_desempenho.index])\n", + "\n", + "# Adicione rótulos e título\n", + "plt.xlabel('Desempenho (Pontuação)')\n", + "plt.ylabel('Número de Funcionários')\n", + "plt.title('Número de Funcionários por Desempenho')\n", + "\n", + "# Adicionar os valores nas barras\n", + "for i, v in enumerate(contagem_desempenho):\n", + " plt.text(i, v, f\"{v:.0f}\", ha='center', va='bottom')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Distribuição do Nível de Satisfação dos Funcionários Ativos" + ] + }, + { + "cell_type": "code", + "execution_count": 554, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA90AAAJOCAYAAACqS2TfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC1aklEQVR4nOzdd3hT1f8H8HfSke69S1s62HtPRYYgIqKAguwhCAgCKihLUL6AgspUZC8BQUSQjSyZArJHgS5KW7pHOtOm7fn9UZufpS00kPS26fv1POeB3tzc+05yk/aTe885MgACRERERERERKRzcqkDEBERERERERkqFt1EREREREREesKim4iIiIiIiEhPWHQTERERERER6QmLbiIiIiIiIiI9YdFNREREREREpCcsuomIiIiIiIj0hEU3ERERERERkZ6w6CYiogph5MiRGD16tNQxiKgcKBQKTJ8+Ha+++qrUUYiI9I5FNxFJZvbs2RBClMu+Tp48iZMnT2p+7tChA4QQ6NOnj8724ePjAyEEhg4dqvV9+/Tpg+TkZJw9exYBAQFYtWoVJk6cqLNsTyOEwOzZs8tlX6V59dVX8dNPP+H+/ft62f6Tr7+2KsJz9Lye97E3b94c586dQ3p6OoQQaNSokc6ztW3bFjExMbh58yZatGiBadOmYfHixTrfT0nCwsKwYcOGctlXRTd06FAIIeDj41Nu+1y8eDHee+89XLx4scz3eZHPWKm96GcQEVVuLLqJSCcK/2grbFlZWYiKisLhw4cxYcIEWFlZ6WQ/7u7umD17tl4KAClNnToVq1evRnR0NO7du4fevXtjz549Usd6LoXHwMcff1zstsLjpFmzZpplFhYWWL16NWbPno2//vqrPKNKxsTEBB999BGuXr0KpVKJ5ORk3L59G6tWrUKtWrW03l6dOnUwe/ZsnRVNxsbG+PXXX+Hg4IDJkydj0KBBCA8P18m2/2vixIk4cOAA/v77b5w9exYzZszAtm3bdL6fiqCwYCypXbhwQep45apv375488038frrryM1NVXqOGU2duxYCCHw999/l3i7rt+HRGRYBBsbG9uLtqFDhwohhJg5c6YYOHCgGDZsmPj888/F4cOHRV5enggLCxMNGjQoch8jIyOhUCi02k+zZs2EEEIMHTpUq/uZmJgIExMTzc8dOnQQQgjRp08fnT4PCoVCyOVyre/n7e0tjIyMBADh5OSk9fPyIk0IIWbPnq3T7QkhRHR0tDA3Ny/xOGnWrJlm2ZIlS8TBgwf1+hhPnjwpTp48WWGeoz/++EOo1WqxefNmMXbsWPHRRx+JH3/8UTx69EjrYxuA6NOnjxBCiA4dOhS77cljvyytVq1aQgghRo4cqdfXxd3dXZiZmQkAws7OTlhZWel1f/9tYWFhYsOGDeW2Px8fHyGEEFu3bhUDBw4s0rp27VpuOUpqcrm8XD9zJk2aVOz3QVnb837G6qKdPXtWhIaGCiGE8Pf3L3a7rt+HbGxshtOMQUSkQ4cOHcKVK1c0P3/99dfo2LEj9u/fjz/++AN16tSBSqUCAOTl5SEvL0+veczNzZGVlQW1Wq3X/RTKzs5+rvs9evRI8/+EhARdxZHMtWvX0KRJE4wZM+aZlwtPmjSpfEJVEM2bN0fPnj0xffp0LFiwoMht48ePh52dnU739zzHvouLCwAgJSVFp1meFB0drfm/vvdVUVy9ehVbt26VOkYR+fn5z/3Z9TyWLFmi1fpGRkaQy+VQq9XlmvO/qlevjnbt2uHtt9/GqlWrMHDgQHz11Vdlvn95/Q4iooqJl5cTkd6dPHkSc+fORfXq1TFo0CDN8pL6dHfp0gVnzpxBcnIy0tLScO/ePcybNw9AQT/sf/75BwCwceNGzaWZhf37Tp48iVu3bqFp06b466+/kJGRgfnz52tuK6k/nZGREebNm4fo6Gikp6dj7969qFatWpF1Suv7+eQ2S+tvWKtWLezYsQNxcXHIzMzEvXv38L///U9ze/Xq1fHjjz/i/v37yMzMREJCAnbu3FniJYq+vr7YuXMnEhMTkZGRgQsXLuD1118v4VkvztTUFN9//z3i4uKQmpqKvXv3wtPTs8R1GzdujIMHD0KpVCItLQ3Hjh1Dq1atyrQfADh37hyOHz+OqVOnwszM7KnrPnkc3Lp1CydOnCi2nkwmQ2RkJH799dciyyZOnIjbt28jKysLMTEx+Omnn567cNXmOfLw8MC6desQExMDlUqF27dvY/jw4c/ch7+/P4CC5+hJ+fn5SEpK0vzs7e2NH374Affu3Sv12Bg6dCh27doFADh16pTmfdGhQwcAJR/748ePx+3bt5GRkYGkpCRcvnwZ7733HgBgw4YNOH36NABg165dEEJo7t+gQQNs2LABISEhyMrKQnR0NNatWwcHB4cSn5+1a9ciKioKKpUKoaGh+PHHH2FiYgIAcHR0xLfffotbt24hLS0NSqUSBw8eRMOGDYtty9nZGWvXrkVMTAyysrJw/fp1DBky5JnPdaEZM2YgIiICGRkZOHHiBOrWrVviemV9fz3t+XsRpX1ObdiwAWFhYZqfCz9rPvnkE4waNQrBwcFQqVS4dOkSmjdvXuz+z/oMKq1P99ixY3H79m2oVCpERUVhxYoVsLW1LZb51q1bqFOnDk6cOIGMjAxERkZiypQpRdYzMTHBl19+iX/++QcpKSlIT0/H6dOn8corrxRZ77+PbeLEiQgODkZ2djbq1q1b6mdsx44dcfr0aaSnpyM5ORl79uxB7dq1i6xjZWWFxYsXIywsDCqVCrGxsTh69CiaNGlSwitR3MCBA5GUlIQDBw5g165dGDhwYJHbtXkfuri4QK1W44svvii2n5o1a0IIgQ8//FCzTOrjkoheHM90E1G52LJlCxYsWICuXbti7dq1Ja5Tt25d7N+/Hzdv3sQXX3yB7OxsBAQEoF27dgCAwMBAzJo1C3PnzsWqVatw5swZAMD58+c123B0dMShQ4fwyy+/4Oeff0ZsbOxTc82YMQNCCHzzzTdwcXHBpEmTcOzYMTRu3FhzRv5FNGjQAGfOnIFarcbq1avx8OFD+Pv7o2fPnpg5cyYAoFWrVmjTpg22b9+OyMhI+Pr6YsyYMTh16hTq1q2LrKwsAAV/qJ0/fx4WFhZYtmwZEhMTMXToUPzxxx/o27fvM/uAr127FoMHD8bWrVtx/vx5dOrUCQcOHCi2Xt26dXHmzBmkpqZi4cKFUKvV+OCDD3Dq1Cl06NABly5dKtNjnzNnDs6cOYOxY8dqNTjWjh07MGfOHLi6uhZ5/dq3bw9PT0/88ssvmmWrVq3CsGHDsGHDBixbtgy+vr4YP348mjRpgnbt2iE3N7fM+wXK/hy5uLjg77//hhACK1asQHx8PLp3747169fDxsYGS5cuLXUfhX2jBw4ciHPnzj31ao8WLVqgbdu2+OWXXxAZGYnq1atj7NixRY6N06dPY+nSpZg4cSLmzZuHwMBAAND8+6T3338fy5cvx6+//oqlS5fCzMwMDRs2RKtWrbB9+3asWrUKUVFRmDFjBpYuXYrLly9rXodXX30Vfn5+2LBhA2JiYlCvXj2MHj0a9erVQ+vWrTX7cHd3x6VLl2BnZ4fVq1fj3r178PT0RN++fWFhYQGlUomAgAD06tULO3fuxMOHD+Hq6ooxY8bgr7/+Qt26dTVnwc3MzHDq1CkEBARgxYoVCAsLwzvvvINNmzbBzs4Oy5Yte+pr+tVXX2HWrFk4cOAADh48iKZNm+Lo0aMwNTUt9pqW5f31rOfvWSwsLODo6FhkmVKp1PpYBYABAwbA2toaq1atghACU6dOxe7du+Hn56fZXlk+g0oye/ZszJkzB3/++SdWrlyJWrVqYezYsWjRokWx95a9vT0OHz6M3bt3Y+fOnejbty8WLlyIW7du4fDhwwAAGxsbjBo1Ctu2bcOaNWtgY2OD999/H0eOHEHLli1x48aNIvsfPnw4zMzMsHr1amRnZyMpKQlyefFzRZ07d8ahQ4cQGhqKOXPmwNzcHBMmTMC5c+fQtGlTzfvtp59+Qt++fbFixQrcvXsXjo6OaN++PerUqYNr164987keOHAgdu/eDbVaje3bt2PcuHFo3ry55otgbd6HcXFx+Ouvv/Duu+8WO1ver18/5Obmar5cLK/jkoj0T/Jr3NnY2Cp/K6mv7pMtOTlZXLlyRfPz7NmzhSg4xSkAiIkTJwohhHB0dCx1G0/r033y5EkhhBCjR48u8bb/9ukt7NMdERFRpB9p3759hRBCTJgwQbOstL6fT26zsM/mf7OdOnVKKJVK4eXlVepjKuzT+t/WqlUrIYQQgwYN0iz7/vvvhRBCtGvXTrPM0tJShISEiNDQUCGTyUrdR8OGDYUQQqxYsaLI8p9//rlYf+Xdu3cLlUolfH19Ncvc3NyEUqkUp06deuaxIIQQy5cvFwDE8ePHxePHjzWPsaTj5MnjoEaNGkIIIT788MMi212xYoVITU3VbKtdu3ZCCCHee++9Iut17dq12PKy9OnW5jlas2aNiIqKEg4ODkXW3bZtm0hOTi7xNS3pWI2OjhZbt24VY8eOLfEYKeux8bS+pE8+9t9//13cunXrqflKG/OgpDz9+vUTQgjRvn17zbKNGzeK3Nzcp34emJqaFjtmfXx8RFZWlpg5c6Zm2UcffSSEEGLAgAGaZcbGxuLcuXMiNTX1qf3AnZychEqlEvv27Suy/H//+58QQhR5X5f1/VWW56+kVvj5UJLC162043TDhg0iLCys2Lbi4+OFnZ2dZnnPnj2FEEL06NFDs6wsn0GF70sfH58iz9vhw4eLvEbjxo0TQggxbNiwYsfyf49HExMT8fjxY/Hrr79qlsnlcmFqalpkv3Z2diI2NlasXbu22GNLSUkRTk5OJT6H//2MvXr1qoiJiRH29vaaZQ0aNBC5ubli48aNmmXJycmazyVtW9OmTYUQQnTu3Fmz7NGjR2Lx4sVF1tPmfThq1CghhBD16tUrst7t27fFsWPHyu24ZGNjK5/Gy8uJqNykp6fD2tq61NsL+3T26tULMpnsufahUqm0mgZo8+bNSE9P1/y8a9cuPH78uMyXbD+Nk5MTOnTogPXr1yMiIqLU9f57Rt3Y2BgODg4IDg5GcnIymjZtqrnt9ddfx8WLF4tclpyRkYHVq1fD19e31EtmC+8LoNhZwSf7VsrlcnTt2hV79uwpcjlrTEwMtm3bhvbt2z/1NXzSnDlz4O7ujjFjxpT5PkFBQbh27Rr69etXJFffvn2xb98+zfP1zjvvICUlBX/++SccHR017cqVK0hLS0PHjh3LvE+g7M8RUDDF2759+yCTyYrs+8iRI7CzsyvyupWkW7dumDFjBpKTkzFgwAD8+OOPePToEX755Zcil++W9djQRkpKCqpVq1biZcjP8t88CoUCjo6OmpGcC/PIZDK89dZb2LdvX5HxHZ6Uk5Oj6VYgl8vh4OCA9PR03L9/v9hxHx0dXeRsXW5uLpYtWwZra2vN5bsl6dKlCxQKBZYvX15keUmvaVnfXy/y/AEFV2d06dKlSHvyLG9Z7dixo0hf+MKrf/z8/ACU/TPoSYXP25IlS4p0/VizZg2USiV69OhRZP20tDT8/PPPmp/VajUuXbqkyQEUdJ3IycnR/GxiYoKsrCycP3++xGP5t99+e+b4Fm5ubmjSpAk2btyI5ORkzfJbt27hzz//LPI5npKSglatWsHd3b0Mz0BRAwcORExMTJFL/3fs2IH+/fuXePa9LArPmv/3c65evXqoV68eduzYoVlWXsclEekXi24iKjdWVlZIS0sr9fYdO3bg7NmzWLduHWJjY7F9+3a88847WhXgUVFRWg1YExQUVGxZcHAwqlevXuZtlKbwD87bt28/dT0zMzN8+eWXePToEbKzs5GYmIiEhATY29sXKcB8fHxKnMe68PLFp01T4+Pjg7y8PISEhBRZ/uT2nJ2dYWlpWep+jIyM4OXl9dTH819nzpzBiRMnytS3+7927NiBdu3awcPDAwDwyiuvwNXVtcgfozVq1ICdnR3i4+ORkJBQpFlbW2sGAysrbZ4je3t7fPDBB8X2u3HjRgB45r5zcnIwf/581K1bF+7u7ujfvz8uXLiAfv36YcWKFZr1ynpsaOObb75Beno6Ll++jAcPHmDFihVo27Ztme5rb2+PJUuWaPqxJyQk4OHDhwCgyePs7AxbW9tnHvcymQyTJk3CgwcPijy2Ro0aFTvug4KCio3/UNbjHij+Pk9ISCjSd75w3bK8v17k+SvMcvz48SLteQeR++8AjMD/f3Fpb28PoOyfQU8qfKxPPh9qtRqhoaHFnvPIyMhi20hOTtbkKPTuu+/iwoULSElJQU5ODlQqFd56660Sj+X/fumnbU6g4HVzdnaGhYUFgIJpGevXr4+IiAhcvHgRs2fPhq+v7zP3IZfL0b9/f5w8eRK+vr7w9/eHv78/Ll68CDc3N3Tu3PmZ2yhJYmIijh8/jnfffVezrF+/flCr1di9e3eRx1gexyUR6ReLbiIqF56enrCzs0NwcHCp66hUKrz88svo3LkztmzZgoYNG2Lnzp34888/y3w2obD/sy49+cd+ISMjI51sf/ny5ZgxYwZ27tyJd999F6+++iq6dOmChISE5z6LUpF8+eWXcHd3xwcffFDm++zYsQNyuRzvvPMOgII/1lNSUjT9Q4GCP4ZjY2OLnTUsbCUNUqQLha/Jli1bSt13SYOklSYmJgY7duzAyy+/jAcPHuDdd9/VHFv6ODbu3buHWrVqoV+/fjh79iz69OmDc+fOYc6cOc+8786dOzFq1Cj89NNPePvtt/Hqq6+iW7duAKB1nunTp2Px4sU4ffo0Bg0ahK5du6JLly64fft2hT7uX+T5exZtP2tKGw/gea8Uel5lydGvXz/s2LEDYWFhGDZsGNq1a4fWrVvjyJEjJb7euv4s//XXX+Hn54cJEybg8ePHmDJlCu7cuYPXXnvtqffr1KkTPDw88N577yE4OFjTCvtcPzmgmjZ++eUX1KpVC40aNQJQ8Dl3/PhxJCYmar0tfR6XRPTiOJAaEZWLwYMHAwCOHDny1PWEEDhx4gROnDiBTz75BNOmTcP8+fPRsWNHHD9+vNQ/Sp9XjRo1ii0LCAjAzZs3NT8nJyeXOBq2j48PQkNDS9124W3169d/aoa+ffti06ZN+PTTTzXLFApFsX2Gh4ejVq1axe5fOEpv4YBBJQkPD4eRkRH8/f3x4MEDzfIntxcfH4+MjIxS95OXl6fVZapAwQBDJ0+exGeffVbmKXYePnyIixcvas789u7dG3v27ClyeWpISIimwNXFoHfaPEepqakwMjLC8ePHX3i/hXJzc3Hz5k3UrFkTTk5OiI2NLfOxoe37IjMzEzt37sTOnTthYmKC3bt3Y8aMGViwYEGpUzLZ2dlpvsyYO3euZnlAQECR9eLj46FUKst03J84cQLvv/9+sf3897Li8PBwNGzYEDKZrMjjLOtxDxS8z/975tTJyanYiOvavL+e5/kri+Tk5CKXZBd62tn8pynrZ9CTCh9rrVq1ijxvJiYm8PX1xbFjx7TO0q9fPwQFBWHAgAFFlmvTXeVpOZ9Uu3ZtxMfHIzMzU7MsJiYGK1euxMqVK+Hs7IyrV69ixowZRb7Me9LAgQMRGxtbZDTxQr1798bbb7+NMWPGQKVSaf0+3LNnD7KzszWXmNeqVavYNIIV4bgkohdXcb9KJiKD0bFjR8yaNQuhoaFPnZ/2yUsRAeD69esACgoNoKAvGwCdzWU8ZMgQWFlZaX7u27cvPDw8cOjQIc2ykJAQtG7dWjPVEQD06NED3t7eT912QkIC/vrrL4wYMeKpl2Tn5eUVOzM1YcIEGBsX/V704MGDaNWqVZFRoi0sLDB69GiEhYXh7t27pe6j8PF89NFHRZY/OUd2fn4+jh49il69ehX5Q9/FxQUDBgzA2bNnn9pFoDSFfbtHjx5d5vvs2LEDbdq0wYgRI+Ds7Fzk0nKg4KyrsbExZs2aVey+RkZGWl9+rc1z9Ntvv6FPnz6oV69ese04OTk9dT8BAQElHg+2trZo06YNkpKSEB8fD6Dsx4Y274sni021Wo27d+9CJpMVOcafVHg288k8Tz4/Qgjs2bMHPXv2RLNmzZ66vSe31bdv32JT9h08eBDu7u5F+r4aGRlhwoQJSEtLw19//VXqPo4dO4acnBxMmDDhqZkL91OW99fzPn9lERISgtq1axc5hho2bKiZwUFbZf0MetKxY8eQnZ1d7L0wcuRI2NnZlTii/7MIISCXy4u85m3atCnyfGsrJiYG165dw9ChQ4u83+vVq4euXbvi4MGDAAquwrCxsSly3/j4eDx+/Fjzu6UkZmZm6N27N/bv34/ffvutWFuxYgVsbGzw5ptvAtD+95NSqcSRI0fw7rvvon///sjOzi42C0VFOC6J6MXxTDcR6VT37t1Ru3ZtGBsbw9XVFZ06dcKrr76K8PBwvPnmm0/9tv2LL77Ayy+/jAMHDiA8PBwuLi4YN24cIiIicPbsWQAFf5QmJydjzJgxSEtLQ0ZGBi5evKjpV6qtpKQknD17Fhs2bICrqysmTZqEoKAgrFmzRrPO2rVr8c477+Dw4cPYuXMn/P39MWjQoKdeKl/oo48+wtmzZ3H16lWsXr0aYWFhqF69Onr06KGZH3b//v0YPHgwlEol7t69izZt2mguIf6vr7/+Gu+99x4OHTqEZcuWISkpCUOHDoWvry/69Onz1LMsN27cwLZt2/Dhhx/C1tYW58+fR+fOnYudpQSAmTNn4tVXX8XZs2fx448/Ijc3Fx988AEUCgWmTp1a1qe2iNOnT+PUqVPF5uR9mp07d+Lbb7/Ft99+i8TExGJn106fPo2ffvoJ06dPR+PGjXH06FGo1WrUqFED77zzDiZOnIjffvutzPvT5jn6/PPP0bFjR1y8eBFr1qzB3bt34eDggKZNm6JLly7FpoT6r0aNGmHbtm04dOgQzpw5g6SkJHh6emLo0KHw9PTExIkTkZ+fD6Dsx8b169eRm5uLzz77DLa2tsjOzsaJEyc0xft/HT16FDExMTh37hxiY2NRp04djB8/HgcOHCgyqOCTCgvcqVOnwsTEBFFRUejatWuJ/WKnT5+Orl274q+//sLq1asRGBgId3d3vPPOO2jfvj2USiX279+P2bNnY/369Th//jwaNGiAgQMHFutTv3r1anzwwQfYuHEjmjVrhocPH6Jv375o3749Jk6c+NTMCQkJ+PbbbzF9+nTs378fBw8eRJMmTdC9e/diz01Z31/P+/yVxfr16/Hxxx/jyJEjWLduHVxcXDBmzBjcuXOnWNFYVmX5DHpSQkICFixYgDlz5uDw4cP4448/UKtWLYwbNw6XLl0qMmhaWR04cAC9e/fG77//jgMHDsDPzw8ffPAB7ty580Jnu6dMmYJDhw7hwoULWLdunWbKMKVSqbm02traGpGRkdi1axdu3LiB9PR0dOnSBS1btsTHH39c6rbffPNN2NjY4I8//ijx9r///htxcXEYOHAgdu7cqdX7sNCOHTuwdetWjBs3DkeOHIFSqSxye0U4LolINyQfQp2Nja3yt8IpZwqpVCrx+PFjceTIETFhwoQSp/V5cqqojh07it9//11ERkYKlUolIiMjxdatW0VAQECR+/Xs2VPcvn1b5OTkFJk+5uTJk6VOmVLalGH9+vUT8+bNEzExMSIjI0Ps27evxKl1Jk+eLCIiIkRWVpY4c+aMaNq0aZmmDAMg6tatK3777TeRkpIihBAiMDBQfPnll5rbbW1txbp160RcXJxITU0Vhw4dEjVr1ixxqjJfX1+xc+dOkZSUJDIzM8Xff/8tXn/99TK9RgqFQixZskTEx8eLtLQ0sXfvXuHp6SmEKDodFgDRuHFjcejQIZGamirS09PF8ePHRevWrcu0HyFEiVPzFD7nQjx9yrD/tjNnzgghhFi9enWp+3v//ffF5cuXRUZGhlAqleLGjRvi66+/Fm5ubqW+/rp4jpydncXy5ctFeHi4yM7OFo8fPxZ//vmneP/995+6D2dnZzF16lRx8uRJERUVJXJyckRiYqI4duyY6N27d5F1tTk2Ro4cKYKDg4VarX7qNFSjRo0Sp06dEvHx8SIrK0sEBQWJb775RlhbWxd7rZ6cMszDw0P89ttvIikpSSQnJ4sdO3YINze3Ep8fLy8vsXHjRhEbGyuEECI8PFwsX75cmJiYCKBgyrBFixaJqKgokZGRIc6cOSNatWpV4mvl7OyseR5UKpW4ceNGidMGltRkMpmYNWuWZj8nTpwQdevWfe73V1mev5Ja4efDJ5988tT1BgwYIIKDg4VKpRJXr14Vr776aqlThpW0rZJei8LPoMLH9eRn0JNThhW2cePGibt374rs7GwRHR0tfvjhB2Fra1tkndI+d5/MDEBMnz5dPHz4UGRmZorLly+Lbt26afXYSvuM7dSpkzhz5ozIyMgQKSkpYu/evaJ27dqa201MTMQ333wjrl27JpRKpUhLSxPXrl0TY8aMeeprsXfvXpGZmSnMzc1LXWf9+vUiOztbM31gWd+Hhc3KykpkZGQIIYpOi1dexyUbG1v5NNm//yEionLw559/YuHChfjzzz+ljkJUbtasWYNLly4VuYKEiIioqmCfbiKicrRv3z4MGjRI6hhE5YrHPRERVWXs001EVA769+8PS0tLvPPOO4iLi5M6DlG5eP311+Hh4YE33nijyICFREREVQmLbiKiclCvXj18+umniI6Ofu7ByIgqm2rVquH7779HWloaxo4dK3UcIiIiSbBPNxEREREREZGesE83ERERERERkZ6w6CYiIiIiIiLSExbdRERERERERHpSJQZS8/DwQFpamtQxiIiIiIiIyIBYW1vj8ePHT13H4ItuDw8PREVFSR2DiIiIiIiIDJCnp+dTC2+DL7oLz3B7enrybDcRERERAQCmALAFoASwSOIsRFQ5WVtbIyoq6pl1psEX3YXS0tJYdBMRERERACANBXPnpv3biIj0pcoU3UREREREhXh2m4jKC0cvJyIiIiIiItITFt1EREREREREesLLy/9lYWEBJycnyGQyqaMQVVn5+fmIjo5Gbm6u1FGIiIiIiHSiyhfdMpkMw4cPxyuvvCJ1FCICoFKpMGPGDMTHx0sdhYiIDFgPAOYAsgAckDgLERm2Kl90Dx8+HB06dMCOHTtw7949nmEjkpBCocCYMWMwatQoLFiwAEIIqSMREZGBagzADkAKWHQTkX5V6aLb0tISr7zyCnbs2IEDB/hxS1QR7Ny5E+PGjYOtrS1SUlKkjkNERERE9EKq9EBqjo6OAIB79+5JnISICsXFxQEAbGxsJE5CRERERPTiqnTRXThoGi8pJ6o48vLyAICDGhIRERGRQajSRXdV9tFHH6F169ZSxyAiIiIiIjJoLLqroI8//hi9e/fG1atXn7pehw4dIISAra0tAGDo0KFITk7WeZ7Zs2fj2rVrOt+uroSFhWHixIllWtfc3By7du2CUqks8ty9qEWLFiE2Nha9evXC3Llz0bdvX51sl4iIiIiI9ItFdyW1YcMGCCGwcuXKYretWLECQghs2LCh2G1t27bF4MGD0atXL+Tk5Gi1zx07dqBmzZrPnVmfnJyc8OOPPyI8PBwqlQrR0dE4fPgw2rZtW+ZtlPalQosWLbB69eoyb+Oll15C27Zt4ebmBqVSWeb9P02XLl3Qs2dPTJw4EV27dsXRo0d1st3/ateuHc6ePYuEhARkZmYiMDAQkyZNeub9unbtigsXLiA1NRVxcXHYtWsXfHx8iqwzbtw43L17F5mZmbh37x4GDx6s8/xERERERBVRlR69vLJ79OgR+vfvj8mTJ0OlUgEomHJpwIABCA8PL/E+58+fR5MmTZ5rfyqVSrOfiua3336Dqakphg4ditDQULi6uqJz586awfJeREJCQpnX9ff3R2BgIO7cufPC+/2vwtesU6dOOt3uf2VkZGDFihW4efMmMjIy0L59e6xatQoZGRlYs2ZNifepXr069u7di++//x4DBw6Era0tFi9ejN27d6NZs2YAgDFjxmDBggUYNWoULl++jJYtW2LNmjVITk7G/v379fZ4iIiIiIgqCmHIzdraWgghhLW1dbHbfHx8xObNm4WPj4/kObVtGzZsEL///ru4efOmGDBggGb5e++9J65fvy5+//13sWHDBs1ymUwmPv/8cxEaGioyMzPF9evXRZ8+fYpss3v37uL+/fsiMzNTnDhxQgwdOlQIIYStra0AIIYOHSqSk5M16/v5+Yk9e/aImJgYkZaWJi5duiQ6d+78zOyfffaZiImJEampqWLt2rViwYIF4tq1a0XWGTlypLh7967IysoSgYGBYuzYsaVuz9bWVgghxMsvv/zU/U6ePFncvHlTpKeni0ePHokffvhBWFpaCgCiQ4cO4kmzZ88WAERYWJiYOHGiZjuzZ88W4eHhQqVSiaioKLF06VIBQJw8ebLI/U+ePCkAiEGDBonLly+L1NRUER0dLbZu3SqcnZ2LZKtbt67Yt2+fUCqVIjU1VZw+fVr4+fkJAKJ58+bi6NGjIj4+XqSkpIhTp06JJk2aFLm/l5eX2LNnj0hLSxNKpVLs2LFDuLi4vPBx9ttvv4nNmzeXenufPn1ETk6OkMlkmmVvvPGGyMvLE8bGxgKAOHfunFi4cGGR+3377bfizJkzJW6zMr8v2djY2NgqT5sBiEX//it1FjY2tsrZnlZr/rfx8vJKbv369Rg+fLjm5xEjRpR4Wfm0adMwZMgQjBkzBvXq1cPixYvx888/4+WXXwYAVKtWDbt378a+ffvQuHFjrF27Fl9//fVT921lZYWDBw+ic+fOaNKkCQ4fPox9+/bBy8ur1Pu88847mDNnDqZPn47mzZsjOjoa48aNK7LOgAED8NVXX2HGjBmoU6cOpk+fjrlz52LIkCElbjM9PR1paWl46623YGpqWuq+8/Pz8dFHH6FevXoYOnQoOnXqhIULFwIouAJg4sSJUCqVcHNzg5ubG7799tti2+jTpw8mT56MDz74ADVq1MBbb72FW7duAQB69+6N1atX4/z583Bzc0Pv3r0BACYmJpg1axYaNWqEt956C9WrV8fGjRs12/Tw8MDp06eRnZ2NTp06oVmzZli/fj2MjQsuRLG2tsamTZvQvn17tG7dGkFBQTh48CCsrKwAFIzyvXfvXjg4OKBDhw549dVX4efnhx07dmj24ePjAyEEOnToUOrz86TGjRujbdu2+Ouvv0pd58qVK8jPz8fw4cMhl8thY2ODwYMH49ixY5pZARQKRbErJLKystCyZUvNYyQiIipv9wDc+PdfIiJ9k/wbAn225z3T/TIKvvl8VhtWwj6HlfG+L7/A4yo80+3k5CSysrKEt7e38Pb2FpmZmcLR0bHImW5TU1ORnp4uWrduXWQba9asEVu3bhUAxLx588Tt27eL3L5gwYKnnukuqd26dUt8+OGHpd5+7tw5sWLFiiLLLly4UORMd1BQkOjfv3+RdWbMmCHOnTtX6nZ79+4tEhMTRWZmpjh79qyYN2+eaNCgwVOz9unTR8THx2t+Lu3x/fdM9+TJk8W9e/c0Z3GfbIsXL9ac4S6tNWvWTAghNGfZ582bJ0JCQkrd5pNNJpMJpVIpevToIQCILl26CLVaLapVq6ZZp06dOkIIIZo3by4ACA8PDxEYGChatGjxzO1HREQIlUolcnNzxcyZM5+5/ssvvyxiYmKEWq0WQghx7tw5zTFT+PgeP34smjZtqnn80dHRQggh3NzctHpfsrGxsbGxsbGxsVWUxjPdL0gBwK4MzaqE+1qV8b4KHeRMSEjAgQMHMGzYMAwfPhwHDhxAYmJikXUCAgJgaWmJP//8E2lpaZo2ZMgQ+Pv7AwDq1KmDixcvFrnfhQsXnrpvS0tLLFq0CHfv3kVycjLS0tJQp04deHt7l3qfZ+3HwsICAQEBWLduXZGsM2fO1GQtye7du+Hh4YE333wThw8fxiuvvIKrV69i6NChmnU6d+6MY8eOITIyEqmpqdiyZQucnJxgbm7+1Mf5X7/++ivMzc0RGhqK1atX46233oKRkdFT79O0aVP88ccfCA8PR2pqqubMceHz1LhxY5w5c6bU+eJdXFywevVqPHjwACkpKUhNTYWVlZXm/nXq1EFERAQiIyM19wkMDERycjLq1KkDAHj8+DHq1KmDy5cvP/MxvvTSS2jevDnGjBmDSZMmoX///qWu6+rqijVr1mDTpk1o0aIFXn75ZeTk5GDXrl2adebOnYtDhw7h77//hlqtxt69e7Fp0yYABVcfEBEREREZMl7bWYpsACllWC+9lGVluW+2FnmeZv369VixYgUA4MMPPyx2e+FlyD169EBUVFTRDNnPn+Lbb7/Fq6++ik8//RTBwcHIysrCrl27nnqJ97MUZh01alSx4jwvL++p983OzsaxY8dw7Ngx/O9//8OaNWvw5ZdfYtOmTfDx8cH+/fuxcuVKzJgxA0lJSWjfvj3Wr18PU1NTZGVllSlfZGQkatWqhS5duuDVV1/Fjz/+iClTpqBDhw4lFs0WFhY4cuQIjhw5goEDByI+Ph7e3t44evSo5nl61r43bdoER0dHTJw4EeHh4cjOzsaFCxde6Hl+mocPHwIAbt++DVdXV8yZMwe//PJLiet++OGHUCqV+OyzzzTLBg0ahMjISLRq1QoXL16ESqXCyJEj8cEHH8DV1RXR0dEYPXo0UlNTER8fr5fHQERERERUUbDoLsXpf9vz2KjDHGVx+PBhmJqaQgiBI0eOFLv97t27UKlU8Pb2xunTJT+qwMBAvPnmm0WWtW7d+qn7bdeuHTZu3Ig9e/YAKDjzXb169afeJzAwEK1atcKWLVtK3E9cXByioqLg5+eHbdu2PXVbz3L37l289dZbAIBmzZpBLpfjk08+gRACAPDuu+8WWT8nJ+eZZ62BglHc9+/fj/379+OHH37A/fv30aBBgxLnGq9duzacnJzw+eefa85EN2/evMg6N2/exNChQ2FsbFxi4d6uXTuMGzcOhw4dAlDQ/97Z2Vlze2BgILy8vFCtWjXNPurUqQN7e3vcvXv3mY/naeRyORSK0q/JsLCwKHa2uvDLEbm86IU0ubm5mi99+vfvj/3792teCyIiIiIiQ8XLyw1Afn4+6tSpg7p165Z4uW56ejq+/fZbLF68GEOGDIGfnx+aNGmC8ePHawYn++mnn1CjRg0sXLgQNWvWxHvvvYdhw4Y9db9BQUHo3bs3GjVqhIYNG2Lbtm3FCq0nLV26FCNGjMCwYcNQo0YNzJkzB/Xq1SuyzuzZszFt2jRMmDABNWrUQP369TFs2DBMnjy5xG06ODjg+PHjGDhwIBo0aIDq1aujb9++mDp1Kvbu3QsACA4OhqmpKSZMmABfX18MGjQIY8aMKbKdhw8fwtraGp06dYKjo2OJl50PHToUI0aMQL169TTbyczMLHWKtkePHiE7O1uz3549e2LWrFlF1lmxYgVsbGzwyy+/oFmzZggICMCgQYM0c6IHBQVh8ODBqF27Nlq2bImtW7ciMzNTc/9jx47h1q1b2Lp1K5o0aYIWLVpg8+bNOHXqFK5cuQKgYLC2wMBAtGjRotTXZty4cXjjjTcQEBCAgIAAjBgxAp9++il+/vlnzToffvghjh07pvn5wIEDaNGiBWbNmoWAgAA0adIEGzZswMOHDzVfQtSoUQMDBw5EQEAAWrRoge3bt6N+/fqYPn16qVmIiIj07SMAM/79l4hIn3im20CkpaU99fZZs2YhPj4e06ZNg5+fH1JSUnD16lXMnz8fABAREYE+ffpg8eLFmDBhAi5duoTp06eXOBJ6oY8//hjr16/H+fPnkZCQgG+++QY2NjZPzbFz5074+/tj4cKFMDMzw2+//YaVK1eiW7dumnXWrVuHzMxMTJkyBYsWLUJGRgZu3bqFJUuWlLjN9PR0XLx4EZMnT4a/vz9MTEwQERGBNWvWaB7fzZs3MXnyZHz22WdYsGABTp8+jWnTphU5437hwgWsXLkSO3bsgJOTE+bMmYMvv/yyyL5SUlLw+eef4/vvv4eRkRFu3bqFnj17IikpqcRsCQkJGDZsGObPn4+PPvoIV69exaeffop9+/Zp1klKSkKnTp2waNEi/PPPPwCA06dP49y5cwCAkSNHYvXq1bh69SoiIiIwffr0YiOr9+rVC8uXL8fp06eRn5+Pw4cPY8KECZrbTUxMULt2bVhYWJT62sjlcixYsAC+vr7Izc1FSEgIPvvsM6xatUqzjpOTU5G+9SdPnsSAAQMwdepUTJ06FZmZmbhw4QJee+01zYjlRkZG+OSTT1CrVi2o1WqcPHkSbdu2LfWLCiJD4eXlBScnJ6ljVCkJCQmIiIiQOgZVEtYoGGOHiKg8SD7qmz6boc7TzWaYzdLSUly6dKnMI5kbYuP7ks0QmpeXl8jIyBBUvjIyMoSXl5fkrz9b5Wicp5uNje1FW1lHL+eZbqIKwsfHB8bGxnB2dkb9+vVx/fp1qSMR0XNycnKChYUFdhw/g/hkpdRxqgRne1v06/wSnJyceLabiIgqFBbdRBXEsGHDMG3aNFy7dg0PHjyQOg4R6UB8shKPE0rufkJERERVAwdSI6ogvvzyS5iZmaFNmzZFBkojIiIiIqLKi0U3ERERERERkZ6w6CYiIiIiIiLSkypddBfOaa1QKCROQkSFjI0LhpoQQkichIiIiIjoxVXpgdSio6OhUqkwZswY7Ny5E3FxccjLy5M6FlGVZWxsjLfffhtqtRrx8fFSxyEiIiIiemFVuujOzc3FjBkzMGrUKIwbN07qOEQEQK1WY/HixcjKypI6ChERGbADAEwB5EgdhIgMXpUuugEgPj4eCxYsgK2tLWxsbCCTyaSORFRlCSEQHx/PgpuIiPTuutQBiKjKqPJFN1Dwh35KSgpSUlKkjkJEREREREQGpEoPpEZERERERESkTzzTTURERERVjjMKzj7lA+DQnUSkTyy6iYiIiKjKGQ3ADkAKgHmSJiEiQ8fLy4mIiIiIiIj0hEU3ERERERERkZ6w6CYiIiIiIiLSExbdRERERERERHrCopuIiIiIiIhIT1h0ExEREREREekJi24iIiIiIiIiPWHRTURERERERKQnLLqJiIiIiIiI9MRY6gBEREREROVtGQrOPuVLHYSIDB6LbiIiIiKqctKkDkBEVQYvLyciIiIiIiLSExbdRERERERERHoiadF9834YUlSiWFu0ZAUAQKFQYNGSFQiNSkBkQho2b98FZxcXKSMTERERkQFoBeDlf/8lItInSYvuju1aoKaPm6b1er0LAGDv7l8BAPMXLcZrPXpi2MB30OPVDnBz98CWHbuljExEREREBqALgJ7//ktEpE+SDqSWmJBQ5OfJn36O0JBgnD39F2xsbDB42Ei8P3QATp86CQD4cPRwXL55D81btsI/ly5KEZmIiIiIiIiozCpMn24TExO8+94g/LxpPQCgcdNmMDU1xV8njmnWCXpwHxGPwtGyVRupYhIRERERERGVWYWZMqzHm2/B1s4O27ZsBAC4uLohOzsbSqWyyHpxsbFwcXUrdTumpqZQKBSan62trfWSl4iIiIiIiOhZKsyZ7sHDRuLYkUOIiY5+oe18PHUaIuJTNe1uaJSOEhIRERERERFpp0IU3V7e3nilUxds3rBWsywuNgYKhQK2trZF1nVxdUVcbEyp2/p+4QJ4OdtoWl0/T73lJiIiIiIiInqaClF0DxwyHPFxcThy6IBm2fWrV5CTk4MOHTtrlgXUqAkvbx9cunih1G3l5OQgLS2tSCMiIiIiIiKSguR9umUyGQYOGY7tP29CXl6eZnlqaiq2bFyHeQu/R3JyElJTU7Hw++W4eOE8Ry4nIiIiIiKiSkHyovuVzl3g5e2jGbX8v6ZPmYz8/Hxs3v4bTBUKnPjzCD6ZOE6ClERERERERETak7zoPnnsT9iZyUq8LTs7G1MmjceUSePLORURERERGbIEACoA6VIHoUrBy8sLTk5OUseoUhISEhARESF1DJ2QvOgmIiIiIipvq6QOQJWGl5cX7t27BwsLC6mjVCmZmZmoXbu2QRTeLLqJiIiIiIhK4eTkBAsLC+w4fgbxyUqp41QJzva26Nf5JTg5ObHoJiIiIiIiqgrik5V4nJAkdQyqhCrElGFEREREREREhohnuomIiIioynkPgCWADADbJc5CRIaNRTcRERERVTl+AOwApEgbg4iqAF5eTkRERERERKQnLLqJiIiIiIiI9IRFNxEREREREZGesOgmIiIiIiIi0hMW3URERERERER6wqKbiIiIiIiISE9YdBMRERERERHpCYtuIiIiIiIiIj0xljoAEREREVF5uwTADIBK6iBEZPBYdBMRERFRlfOn1AGIqMrg5eVEREREREREesKim4iIiIiIiEhPWHQTERERERER6Qn7dBMRERFRlTMDgB2AFADzJE1CRIaOZ7qJiIiIiIiI9IRFNxEREREREZGesOgmIiIiIiIi0hMW3URERERERER6wqKbiIiIiIiISE9YdBMRERERERHpCYtuIiIiIiIiIj1h0U1ERERERESkJyy6iYiIiIiIiPTEWOoARERERETlbTsK/hDOlToIERk8Ft1EREREVOWESh2AiKoMXl5OREREREREpCcsuomIiIiIiIj0hJeXExEREVGV44f/79PNS82JSJ9YdBMRERFRlfMeADsAKQDmSZqEiAwdLy8nIiIiIiIi0hMW3URERERERER6wqKbiIiIiIiISE9YdBMRERERERHpCYtuIiIiIiIiIj1h0U1ERERERESkJyy6iYiIiIiIiPSERTcRERERERGRnrDoJiIiIiIiItITY6kDEBERERGVt3lSByCiKoNnuomIiIiIiIj0hEU3ERERERERkZ6w6CYiIiIiIiLSE/bpJiIiIqIq51UAZgBUAP6UOAsRGTYW3URERERU5bQEYAcgBSy6iUi/eHk5ERERERERkZ6w6CYiIiIiIiLSExbdRERERERERHoiedHt7uGBVRu2IDQqAdHJmTj3z000btqsyDrTv/gS98IeIzo5E3sO/gk//wCJ0hIRERERERGVnaRFt62dHY6cPIdctRp9e3VH6yZ1MfPzT5CSkqxZZ+InU/HBuI/w8YQx6PJSK2RmZGD3/iNQKBQSJiciIiIiIiJ6NklHL5/0yWeIjIzAh6NHaJaFP3xYZJ2x4ydh0df/w8H9fwAAxowcggePYtHjzbew+9cd5RmXiIiIiIiISCuSnunu/sabuH7lH2zcuhNBj2Jx+u+rGDLifc3tPr6+cHN3x18njmmWpaam4srli2jZqo0UkYmIiIiIiIjKTNKiu7qvH0aMHouQkCD06dkN69asxDffLcN7g4YAAFxd3QAAcXGxRe4XFxsLl39ve5KpqSmsra2LNCIiIiIiIiIpSHp5uVwux7Ur/2DuFzMAADdvXEfduvUx/P0x2P7z5ufa5sdTp+HzmXN0mJKIiIiIDE0oAEsAGVIHISKDJ+mZ7tiYaNy/d7fIsvv3AlHNy7vg9tgYAICLi2uRdVxcXRH3721P+n7hAng522haXT9PPSQnIiIiospsO4C1//5LRKRPkhbdf184h4CatYosC6hRExGPwgEA4WFhiImORoeOnTW3W1tbo1mLVrh08UKJ28zJyUFaWlqRRkRERERERCQFSYvuH5ctRouWrfHx1Gnw9fNH337vYejI0Vi76gfNOitXLMGnn89E9x49Ubdeffy0bjNioh/jwB97pAtOREREREREVAaS9um+duUfDHr3bXwxdwGmTv8C4Q/DMG3KJPz6yzbNOku/WwhLS0ss+WE1bO3s8Pf5s+jT8zVkZ2dLmJyIiIiIiIjo2SQtugHgyKEDOHLowFPXmf/VbMz/anY5JSIiIiIiQ/cBACsA6QBWSZyFiAyb5EU3EREREVF5cwJgByBF2hhEVAVI2qebiIiIiIiIyJCx6CYiIiIiIiLSExbdRERERERERHrCopuIiIiIiIhIT1h0ExEREREREekJi24iIiIiIiIiPWHRTURERERERKQnLLqJiIiIiIiI9MRY6gBEREREROXtGAAFgGypgxCRwWPRTURERERVzkWpAxBRlcHLy4mIiIiIiIj0hEU3ERERERERkZ7w8nIiIiIiqnKsUXD2KR9AmsRZiMiwsegmIiIioirnIwB2AFIAzJM0CREZOl5eTkRERERERKQnLLqJiIiIiIiI9IRFNxEREREREZGesE83ERERET0XLy8vODk5SR3juZjevg2o1TA1MUGT+vWljqOVhIQERERESB2DiMqIRTcRERERac3Lywv37t2DhYWF1FGey0/VqiE9KgouLi64evWq1HG0kpmZidq1a7PwJqokWHQTERERkdacnJxgYWGBHcfPID5ZKXUcramyVACA9CwVVuzaL3GasnO2t0W/zi/BycmJRTdRJcGim4iIiIieW3yyEo8TkqSOoTW7/PyCebrz8ytlfiKqPDiQGhEREREREZGesOgmIiIiIiIi0hNeXk5EREREVU7qxM8gy8+DkBtJHYWIDByLbiIiIiKqcvLd3KWOQERVBC8vJyIiIiIiItITFt1EREREREREesLLy4mIiIioyjG9dAGynGwIUwVyWraROg4RGTAW3URERERU5Vj8vgPylGTk29mz6CYiveLl5URERERERER6wqKbiIiIiIiISE9YdBMRERERERHpCYtuIiIiIiIiIj3Ruuju1q0b2rVrp/l53LhxuHbtGrZu3Qo7OztdZiMiIiIiIiKq1LQuuhctWgQbGxsAQP369fHdd9/h4MGD8PX1xffff6/zgERERERERESVldZThvn6+uLu3bsAgD59+mD//v2YMWMGmjRpgoMHD+o8IBEREREREVFlpfWZ7pycHFhYWAAAunTpgqNHjwIAkpKSNGfAiYiIiIiIiOg5znSfPXsW33//Pc6dO4eWLVuiX79+AICaNWsiMjJS5wGJiIiIiHQt38a2yL9ERPqiddE9fvx4/Pjjj+jbty/Gjh2Lx48fAwC6d++Ow4cP6zwgEREREZGupU77UuoIRFRFaF10R0REoGfPnsWWf/zxxzoJRERERERERGQotC66AUAul+Ott95CnTp1AAB37tzBH3/8gfz8fJ2GIyIiIiIiIqrMtC66/f39cfDgQXh6euL+/fsAgGnTpiEiIgI9evRAaGiozkMSERERERERVUZaj16+bNkyhISEwMvLC82aNUOzZs3g7e2NsLAwLFu2TB8ZiYiIiIh0ymLrBlitWQGLrRukjkJEBk7rM90dOnRA69atkZycrFmWlJSEzz//HOfOndNpOCIiIiIifTC9fQPylGTk29kjU+owRGTQtD7TnZ2dDWtr62LLrayskJOTo5NQRERERERERIZA66J7//79WL16NVq2bKlZ1qpVK/z000/4448/dBqOiIiIiIiIqDLTuuj+6KOPEBISggsXLkClUkGlUuHcuXMIDg7GxIkT9ZGRiIiIiIiIqFLSuk+3UqnEW2+9hYCAANSuXRsAEBgYiJCQEJ2HIyIiIiIiIqrMnmuebgAIDg5GcHCwLrMQERERERERGZQyFd3fffcdZs2ahczMTHz33XdPXfeTTz7RSTAiIiIiIiKiyq5MRXeTJk1gYmICAGjatCmEECWuV9pyIiIiIiIioqqoTEV3p06dNP/v2LGj3sIQERERERERGRKtRi83NjaGWq1GvXr1dLLzz2fORopKFGmXbgRqblcoFFi0ZAVCoxIQmZCGzdt3wdnFRSf7JiIiIqKqK7t5a6javozs5q2ljkJEBk6rgdRyc3Px6NEjGBkZ6SzA3Tu38dbrXYrso9D8RYvRtXsPDBv4DpRKJRYtXoEtO3bjtY7tdbZ/IiIiIqp6svr0lzoCEVURWo9ePm/ePMyfPx+DBw9GcnLyCwfIy81FXGxsseU2NjYYPGwk3h86AKdPnQQAfDh6OC7fvIfmLVvhn0sXX3jfRERERERERPqkddE9fvx4BAQE4PHjxwgPD0dGRkaR25s1a6bV9vwCaiAwNArZ2SpcungBX82ahsiICDRu2gympqb468QxzbpBD+4j4lE4WrZqw6KbiIiIiIiIKjyti+49e/bobOf/XLqIcaOGIfjBfbi6ueOzGbNx6PgZtGlaHy6ubsjOzoZSqSxyn7jYWLi4upW6TVNTUygUCs3P1tbWOstLREREREREpA2ti+6vvvpKZzs/dvSw5v93bt/ClcsXcfNBON7u+y6ysrKea5sfT52Gz2fO0VFCIiIiIjJEtnM+h1yZjHxbeyjnfC11HCIyYFqNXq5vSqUSIUEP4OsfgLjYGCgUCtja2hZZx8XVFXGxMaVu4/uFC+DlbKNpdf089R2biIiIiCoZWbYKMpUKsmyV1FGIyMBpXXTL5XJ88sknuHjxIqKjo5GYmFikvQhLS0v4+vkjNjoa169eQU5ODjp07Ky5PaBGTXh5++DSxQulbiMnJwdpaWlFGhEREREREZEUnll0Dx48GDVr1tT8PHv2bEyaNAm//PILXFxcMH36dBw4cAD5+fmYM2eOVjufu2AR2r30Mrx9fNCydRv8vPN35OXlYdfO7UhNTcWWjeswb+H3eKnDK2jUpCl+WL0BFy+c5yBqREREREREVCk8s+iOiYnB0aNH0a5dOwDAwIEDMXr0aCxevBgAsGrVKgwZMgTz589H69attdq5h2c1rN20HZdv3seGn3ciKTERXTq0RmJCAgBg+pTJOHxwPzZv/w0Hj51GXGwMBvfvre1jJCIiIiIiIpLEMwdS+/PPP9GtWzds3LgRbdq0gZubG27fvg0AyMjIgI2NDVJTU7Fnzx7Mnj1bq52PHPLeU2/Pzs7GlEnjMWXSeK22S0RERERERFQRlKlP9/3799GhQwcAQGRkJNzd3QEAwcHB6N69OwCgdevWUKk4EAURERERERFRoTIPpJaTkwMA+P3339G5c8HgZkuWLMHmzZtx7949bNq0CWvXrtVPSiIiIiIiIqJKSOt5uqdNm6b5/+bNmxESEoJWrVrh/v37OHDggE7DEREREREREVVmWhfdTzp37hzOnTuniyxEREREREREBuW5iu6AgAB07NgRLi4ukMuLXqE+d+5cnQQjIiIiItKXjAHDgJwcwNRU6ihEZOC0Lrrff/99rFy5EgkJCYiJiYEQQnObEIJFNxERERFVeOoGjaWOQERVhNZF98yZMzFjxgwsXLhQH3mIiIiIiIiIDEaZRy8vZG9vj19//VUfWYiIiIiIiIgMitZF96+//oquXbvqIwsRERERUbkwCg+DcWgwjMLDpI5CRAZO68vLg4ODMXfuXLRu3Rq3bt2CWq0ucvvy5ct1Fo6IiIiISB+sf1oKeUoy8u3skbJgidRxiMiAaV10jx49Gunp6ejQoQM6dOhQ5DYhBItuIiIiIiIion9pXXT7+fnpIwcRERERERGRwdG6TzcRERERERERlc1zFd2DBw/GzZs3kZWVhaysLNy4cQODBg3SdTYiIiIiIiKiSk3ry8snT56MuXPnYsWKFTh37hwAoH379vjpp5/g5OSEJUuW6DojERERERERUaWkddE9YcIEjB07Flu2bNEs27dvH+7cuYM5c+aw6CYiIiIiIiL6l9aXl7u7u+P8+fPFlp8/fx7u7u46CUVERERERERkCLQuuoODg/Huu+8WW96vXz8EBQXpJBQRERERERGRIdD68vLZs2djx44dePnllzV9utu1a4fOnTuXWIwTERERERERVVVaF927d+9Gq1atMHnyZLz11lsAgMDAQLRs2RLXr1/XcTwiIiIiIt1Lmb0AEABkUichIkOnddENAFevXsXgwYN1nYWIiIiIqHyYmUudgIiqiDIV3dbW1khLS9P8/2kK1yMiIiIiIiKq6spUdCcnJ8Pd3R3x8fFISUmBEKLYOjKZDEIIGBs/18lzIiIiIiIiIoNTpgq5U6dOSEpKAgB07NhRr4GIiIiIiPTN7NhhyFRZEGbmUHV5Teo4RGTAylR0nz59usT/ExERERFVRmbHD0Oekox8O3sW3USkV1rP0z1s2DD07du32PK+fftiyJAhOglFREREREREZAi0LrqnTZuGhISEYsvj4uIwffp0nYQiIiIiIiIiMgRaF93e3t4ICwsrtjw8PBze3t46CUVERERERERkCLQuuuPi4tCwYcNiyxs1aoTExESdhCIiIiIiIiIyBFoX3du3b8eyZcvwyiuvQC6XQy6Xo2PHjli6dCl++eUXfWQkIiIiIiIiqpS0nlR71qxZqF69Oo4fP47c3FwAgFwux+bNm9mnm4iIiIiIiOg/tC661Wo1+vfvj1mzZqFRo0bIysrCrVu38OjRI33kIyIiIiIiIqq0tC66CwUFBSEoKEiXWYiIiIiIiIgMitZFt1wux7Bhw9C5c2e4uLhALi/aLbxz5846C0dEREREpA+5Xj6Q2zsg38pa6ihEZOC0LrqXLl2KYcOG4cCBA7h9+zaEEPrIRURERESkN+njJksdgYiqCK2L7v79++Pdd9/FoUOH9JGHiIiIiIiIyGBoPWVYTk4OgoOD9ZGFiIiIiIiIyKBoXXR/9913mDhxoj6yEBERERERERkUrS8vb9++PTp27Iju3bvjzp07UKvVRW7v06ePzsIREREREemD1Y+LIU9PQ76VNft3E5FeaV10p6Sk4Pfff9dHFiIiIiKicmEcEQ55SjLy7eyljkJEBk7ronvEiBH6yEFERERERERkcLTu001EREREREREZaP1me7Q0NCnzs3t7+//QoGIiIiIiIiIDIXWRfeSJUuK/GxiYoImTZrgtddew6JFi3SVi4iIiIiIiKjS07roXrZsWYnLx40bh+bNm79wICIiIiIiIiJDobM+3YcOHeJ0YURERERERET/ofWZ7tL07dsXSUlJutocERERlQOFmTlsnZxgbecAE1NTGBkbw9jYBEbGxshVq5GVmQFVRjqyMjKQkapEVka61JGJiIgqFa2L7qtXrxYZSE0mk8HNzQ3Ozs4YN26cTsMRERGR7inMLeDs4QlbRyeYW1qVup6pkRFMzcxg6+CoWZaRmoqE6CgkxcYgLy+3POISERFValoX3Xv27Cnyc35+PuLj43Hq1Cncv39fV7mIiIhIx0wUCnhU94OTmwdk8oIeZvn5+UhXpkCZmIDsrEzk5eYiV61GXl4uTEwVMLe0hJmFFcytrGBtZw9LGxtY2tigWkBNJMfFICosBOrsbIkfGZH2VJ1fg0yVBWFmLnUUIjJwZS66O3bsiNOnT+Orr77SZx4iIiLSMSNjE7j7VIeLpxfkRkYAgJTEeCRGRyM1ORF5uSWfsc5RqZCRqtT8bGxiAkdXdzh5eMLc0gpO7p6wd3bF44ehiIt89NQpRYkqGlWX16SOQERVRJmL7j///BPu7u6Ij48HAFy4cAF9+vTB48eP9RaOiIiIXoy1nT186zaAqUIBAEhLSUZUaBDSlcpn3LO4XLUasZGPEBv5CFa2tvD0qwFrO3t4BdSEk5sHwoPuIT0lWdcPgYiIqFIrc9Etk8mK/FyvXj0o/v0FTkRERBWPu48vPHz9IZPJkJWRjojgB0hNStTJttOVSty/9g8c3dxRzb8mzK2sULtJc8Q8eojIkCCd7IOIiMgQ6Gz0ciIiIqoYjE1M4Fu3PmwdnAAACdFRePTgHvLz83W+r8SYaKQkxMPTrwZcPKvBzbs6zC2tEHr3VqmXrRNVCKosQACQAWC/biLSozLP0y2EKNJX68mfdWHSp58hRSWwYNFizTKFQoFFS1YgNCoBkQlp2Lx9F5xdXHS6XyIiIkOhMLdA3eatYevghLy8PIQF3sbDe3f1UnAXysvNxaMHgQi5fRN5eXmwdXRCnWYtYWZhqbd9Er0ouy+nweHjMbD7cprUUYjIwGl1efnx48eR+++31hYWFti3bx9ycnKKrNesWbPnCtKkWXMMf/8D3L55o8jy+YsWo2v3Hhg28B0olUosWrwCW3bsxmsd2z/XfoiIiAyVmaUlajVqBhOFAlkZGQi5fQOqzIxy239yfCxUWRkIaNAYZhaWqNOsJULu3NTZJe1ERESVUZmL7i+//LLIz3v37tVZCEtLS6zZuBUfjRuFKZ/P1Cy3sbHB4GEj8f7QATh96iQA4MPRw3H55j00b9kK/1y6qLMMRERElZm5pRVqNm4GE1NTZKal4cGNK8hVq8s9R1Z6OgL/uQj/+o1gbWePgAaNEXzrOgtvIiKqsspcdOtzqrBvl/6Ao4cO4K8Tx4sU3Y2bNoOpqSn+OnFMsyzowX1EPApHy1ZtWHQTEREBsLC2Qc1GTWFsYoKMVCUe3LgqaX/qXLUaD65fgW/dBnBwcUVA/UYIvn2DhTcREVVJkg+k1vudfmjYuCk6tWtR7DYXVzdkZ2dD+cS0JnGxsXBxdStxe6ampkVGVbe2ttZtYCIiogrE3NJKU3CnK1MQdOMa8vKkH8BMCIGwu7cgkwH2ziy8iYio6irzQGr64FmtGr7+dilGDxuI7OxsnWzz46nTEBGfqml3Q6N0sl0iIqKKxsTUFAENG8PYxARpKckFZ7grQMFdSAiB0Du3kBwfB7mREQLqN4KNvYPUsYiIiMqVpEV34ybN4OLqir/+voqEdDUS0tVo//Ir+ODDj5CQrkZcXCwUCgVsbW2L3M/F1RVxsTElbvP7hQvg5WyjaXX9PMvjoRAREZUruVyOgAaNoTAzR1ZGOoJvXUd+Xp7UsYopKLxvagpv/waNYW7Fq9CIiKjqkLTo/uvkcbRpWh8vtWysaVf/uYxff9mKl1o2xvUr/yAnJwcdOnbW3CegRk14efvg0sULJW4zJycHaWlpRRoREZGhqV6nPixtbKHOyUHwzesVek7swsJbmZQIIyMj1GjQGCamimffkYiIyAC8UJ9uhULxQpeFp6enI/DunSLLMjMzkJSYqFm+ZeM6zFv4PZKTk5CamoqF3y/HxQvnOYgaERFVWR6+/nBwcUV+fj5Cbt9AtipL6kjPVFh4127aAuaWVgho0Bj3r13W6/zhREREFYHWZ7plMhlmzpyJyMhIpKenw9fXF0DB6OYjRozQecDpUybj8MH92Lz9Nxw8dhpxsTEY3L+3zvdDRERUGdi7uMKjuh8AIPzeXaQrU6QNpIW83FwE3bwOdU4OLG1s4FunvtSRiIiI9E7rM90zZ87E0KFDMXXqVKxZs0az/Pbt25g0aRLWr1//QoHe6NqxyM/Z2dmYMmk8pkwa/0LbJSIiquwUZuaoXqsuACA6PAyJsdESJ9JejioLIbdvoGbjZrB3cYVnVgCiQoOljkVVUNqYiZDl5UEYGUkdhYgMnNZnuocMGYLRo0dj27ZtyPvPgC03btxA7dq1dRqOiIiICshkMvjVawAjY2OkpSQjKixE6kjPLV2ZgvB7dwEA7j6+sHNykTgRVUV5Pr7I9QtAno+v1FGIyMBpXXR7enoiOLj4N9JyuRwmJiY6CUVERERFefj6w9LGFrlqNcLu3gaEkDrSC0mMjUbMo4cAgOq168LUzEzaQERERHqiddF99+5dvPTSS8WW9+3bF9euXdNJKCIiIvp/1vYOcP/3bNzDe3eRk62SOJFuRIUGI12ZAmMTE/jVawiZTCZ1JCIiIp3Tuk/3V199hU2bNsHT0xNyuRy9e/dGrVq1MGTIELzxxhv6yEhERFRlGZuYaAYci4uKREpCnMSJdKdgRPNbqNuiNaxsbOHpVwORIQ+kjkVVhMmt60BODmBqCnWDxlLHIaqSZHI5LK1tYGVrBxNTU8jkRpDL5bA0N8P5yCQozC2kjqgTWhfdf/zxB3r27IkvvvgCGRkZ+Oqrr3D16lX07NkTx44d00dGIiKiKsunVl2YKhTIykhHZPB9qePoXE62Cg/v3UFAg8Zw8/ZBWkoSlIkJUseiKsBy20bIU5KRb2ePlAVLpI5DVGWYKszg6O4BGzt7WNrYQl7KYIYxGdkwNTcv53T68VzzdJ89exZdu3bVdRYiIiL6D3tnF9g7uyA/Px+hd24Z7JzWKQnxiI0Ih6uXD3zr1Medyxegzs6WOhYREemQhbUNXL184ODsApn8/3s5q3OykZaSguysTOTn50Pk58Ha3AyvNGmA7MxMCRPrznMV3URERKRfRsbG8K5ZMCtITHgYsjLSJU6kX5EhQbCytYOljS2q166LoBscJ4aIyBBY2drB0y8A1nb2mmWpyYlIio1FWkoysrOKF9ZyJwf42lkgR5VVnlH1pkxFd1JSEkQZR0l1dHR8oUBEREQEVPOvCRPTgsvKo8PDpI6jd0IIhN69jXotWsPWwQlOHp5IeBwldSwiInpORkbG8PQPgIunFwAgPz8fSbExiI0MR1a6YX+R/KQyFd2TJk3S/N/R0REzZ87EkSNHcOHCBQBAmzZt0K1bN8ydO1cvIYmIiKoSa3sHOHt4AgDC798t8xfflV12ViYiQ4PhXaMWvPxrIjUpETkqwxipnYioKrFzcoZ3zdowVRRMBxn/OAqPw0KgzqmaXYfKVHRv3rxZ8/9du3bhiy++wA8//KBZtnz5cnz44Yfo0qULlixZovOQREREVYVcLodPzToAgLjICKQrlRInKl9xkY9g7+wCazt7+Nauh/vXr0gdiYiIykgml8OnVh04uXkAAFSZmQi/fxdpKckSJ5OW1vN0d+vWDYcPHy62/PDhw+jSpYtOQhEREVVV7tX9YGZhgRyVCpGhQVLHkURY4B3k5ebC2t4BLtW8pI5DRERlYGKqQO0mzeHk5gGRn4/o8DDcuXyhyhfcwHMU3YmJiejVq1ex5b169UJiYqJOQhEREVVFZhaWcPPyAQCEPwhEfl6exImkkaPKQmRIwRcOnn41DGaeViIiQ2VpbYM6zVvB0sYWueocPLhxFVGhwRAGOuuGtrQevXz27NlYu3YtXnnlFVy8eBEA0KpVK7z22msYNWqUzgMSERFVFV41akImlyM5Pq7Kz1Ud/zgS9s4usHFwRPXadXH/2j9SRyIiohI4uLiheu26kBsZISs9HUG3rhvMqOO6ovWZ7k2bNqFdu3ZITU1F79690bt3b6SmpqJ9+/bYtGmTPjISEREZPFtHZ9g6OCE/Px+RwQ+kjlMhPLx3F3l5ebC2s4fjv/0DiXRFKMwgzMwg/h3oiYi05+TuCb96DSA3MkJKQjwCr15iwV2C55qn+9KlSxg0aJCusxAREVVJMpkMXgE1AQCxEeHI5h8sAICcbBUeh4XAK6AmvAJqQpkYj1y1WupYZCCUc76WOgJRpebk4YnqteoCAGIjHiEi+L7EiSourc90ExERkW65evkUDJ6WnV0l5uTWRmzkI2SmpcLYxETzxQQREUnL2aOapuCOeRTOgvsZWHQTERFJyMTUFO4+vgCAqJCgKjt4WqmEwMP7gRBCwNHNA9b2DlInIiKq0pw9q8GnVsHUljGPHiIyhF2inoVFNxERkYQ8/WrAyNgY6coUJMZGSx2nQspMS0VcVAQAwKdmHcjk/POFiEgKDq7u8Kn534K7ak5tqa3n6tNNREREL87CyhpO7gUDhPHSvKeLCg2GvZMLzCws4OHji6iwEKkjUSVn/tsvkGVmQFhYIqtPf6njEFV41nb2qF77/y8pZ8FddvyqmIiISCKe/jUAAIkx0chITZU4TcWWn5eHR0H3AACu3tU5dze9MMU/f8Ps/Gko/vlb6ihEFZ6ZpSX86zeCXC5HUmwMLynXktZnuhUKBSZMmICOHTvCxcUF8icu8WrWrJnOwhERERkqa3sH2Do4Ij8/H1FhwVLHqRRSEuKhTEyAraMTvGvUQtDNa1JHIiIyeCamCtRo2ATGJiZIS0lG2L07UkeqdLQuutetW4euXbti165duHTpEoQQ+shFRERk0Kr5BQAA4h9HIkelkjhN5fEo6D7q2TvA1tEJto7OUCbGSx2JiMhgyY2MENCwMRRm5sjKyEDwresQ+flSx6p0tC6633jjDbz++us4f/68PvIQEREZPHtnF1ja2CIvNxfRD0OljlOpZGdlIjYiHO4+vvCuURO3kxP5ByARkZ741q4HS2sbqHNyEHTzGvJyc6WOVClp3ac7KioKaWlp+shCRERk+GQyeP57ljs2Ihy5arXEgSqf6PAw5KhUUJhbwM3LR+o4REQGydXLB/YursjPz0fwrevIUWVJHanS0rro/uSTT/DNN9/A29tbH3mIiIgMmpObB8wsLKHOyUFMRLjUcSql/Lw8RPw7iI+7jy9MzcwkTkREZFis7exR7d/BPiOC7iMjVSlxospN68vL//nnH5iZmSE0NBSZmZlQP/ENvaOjo87CERERGRK5XA4PXz8AQPTDUOTn5UmcqPJKjotFqkcSbOwd4BVQE1kxkVJHIiIyCCYKBfzqNYRMJkNC9GPEP+bn64vSuujevn07PD09MX36dMTGxnIgNSIiojJy9vSCqcIM2VlZ/CNGBx4F3UO95q1h7+yKvLQUqeMQEVV6MpkM/vUawsTUFJlpqQh/ECh1JIOgddHdtm1btGnTBjdv3tRHHiIiIoMkl8vh5l0dAPD4YSi/tNYBVUYG4h9HwaWaF2zdvficEhG9oGoBNWFla4dctRrBt29yoEod0brovnfvHszNzfWRhYiIyGA5e3rBxNQUqsxMJMZGSx3HYDx+GAIHVzeYmFvgUSoH+aGyy6nfCPLMDORbWEodhahCsHV0gmu1gnG7wgJvc+A0HdK66P7888/x3XffYcaMGbh161axPt0c2ZyIiKio/57ljg4PBXhGVmdy1WpEh4fBK6Am7sSnwUTBQdWobDIHDpc6AlGFYWJqiuq16wEAYiLCoUxMkDiRYdG66D58+DAA4Pjx40WWy2QyCCFgbKz1JomIiAxa0bPcMVLHMThxkY/g7uUDlUKBNj374NLfF6SORERUqVSvU+/fftxpiAoJkjqOwdG6Qu7YsaM+chARERkknuXWPyEEUmMi4eDjjzZv9MaWZd8hiZfwExGViauXN2wdnJCXl4fQu7c4PoYeaF10nz59Wh85iIiIDBLPcpcPVWoKHM1NkAhg4OTPsfzziVJHIiKq8MytrOHpVzAfd2TwA6gyMyROZJjkz3On9u3bY8uWLTh37hw8PDwAAIMGDUK7du10Go6IiKgyk8l4lrs8NXC2AQC88tY78K/fUOI0VNHZLJgNu2mTYLNgttRRiCQhk8vhV7c+5HI5kuPjOJWlHmlddPfu3RtHjhxBVlYWmjZtCoVCAQCwtbXF9OnTdR6QiIiosrJwdOZZ7nLkYG6Km6cLxpwZ9tkcacNQhSdPVUKekgx5qlLqKESS8PT1h7mlFXKysxF+/67UcQya1kX3zJkzMWbMGIwePbrIyOXnzp1D06ZNdRqOiIiossrLF7BycgXAs9zl6dSOzcjOykLdFq3R6tXuUschIqqQLG1s4erlAwAIv38XuU/MSEW6pXXRXatWrRL7dSuVStjZ2ekiExERUaUXrsyEkYkJslVZSOJZ7nKTmpSAP9b/BAAYMmUWjE1MJU5ERFSxyOVy+NapB5lMhoTox5werBxoXXTHxMQgICCg2PL27dsjNDRUJ6GIiIgqM5lcjgfJBYPRxDx6yJFgy9medT8gKS4Gbt7V0X0Q52ImIvovT78AmFlYIidbhYjg+1LHqRK0LrrXrFmDpUuXomXLlhBCwMPDAwMGDMC3336LlStX6iMjERFRpVKvbQdkqvOQp1YjIfqx1HGqHFVmJrYt+QYA8M7YSbC2c5A4ERFRxWBlZ6+5rPzhvbvIy82VOFHVoHXR/fXXX2Pbtm04fvw4rKyscPr0aaxduxarVq3CihUr9JGRiIio0pDJZGjX6x0AQEZiLER+vsSJqqa/9vyK0Lu3YWlji3fHfyx1HCIiycnlclSvXRcAEP84EqlJiRInqjqea8qw+fPnw8HBAfXr10fr1q3h7OyML774QtfZiIiIKp0WnbrBuZoPTOQyZCTGSx2nysrPz8emb+YAALr1HwJPv+Jd44iIqhIPvwCYmVsgW5WFiOAHUsepUp6r6AYAtVqNwMBAXL58GRkZnESdiIgIAN4ePR4A4GdnwbPcErt98TwuHTsMI2NjDJkyS+o4RESSsbS2gWs1bwBA+P1A5OflSZyoajHW9g67d+8ucUAYIQRUKhWCg4Oxbds2PHjAb0+IiKhqadC6PWo2agp1tgr+9i44KXUgwuZv/4emHTqjecdXUb9VO9y+eE7qSERE5Uomk8Gndl3IZDIkxkTzsnIJaH2mW6lUolOnTmjatCmEEBBCoEmTJujUqROMjY3Rr18/3LhxA23bttVHXiIiogqr9+gJAIBrJ47AzNhI4jQEANEPQ3F0xxYAwNDPZkMmk0mciCqKzLf7IWPgcGS+3U/qKER65eZdHRZW1lDn5HC0cok815Rh27Ztg5+fH/r27Yu+ffvC398fP//8M0JCQlCnTh1s2rQJ33zzjT7yEhERVUi+dRugYduXkJebi78P/C51HPqPnSu+R0aqEn5166NDr75Sx6EKIqdlG2S3fwU5LdtIHYVIb8wsLOBe3Q8AEBF8H7lqtcSJqiati+6RI0diyZIlRS4xF0Jg+fLlGD16NABgxYoVqF+/vu5SEhERVXBvjRwLADh7cC9SOYBahZKWkoTffloGABgw6TOYmplLnIiIqHz41KoLuVwOZWICkmJjpI5TZWlddBsbG6N27drFlteuXRtGRgWX0qlUqhL7fRMRERkiZ89qaNPtDQDA3nUrJU5DJTn483rERUXA0c0DPYeNljoOGSATU1NYWNvAxt4BVrZ2MLeygsLcHMYmJlJHoyrKycMT1nb2yMvNRfj9QKnjVGlaD6S2ZcsWrFu3DvPnz8fly5cBAC1atMD06dOxefNmAECHDh1w584d3SYlIiKqoHoOHQ0jY2NcP/cXwu/fhUOTJlJHoieoc7Lx83fz8fH3K/H2qPE4vmsbUhJ4RUJVJo+Jhiw/D0JuhHw397LfUSaDpZU1rO0dYG1nD3NLK5iYmkImL/1cVq46B5lpachIS0VmWhrSUpJ4mS/plbGJKar51QAARIUFIydbJXGiqk3ronvy5MmIjY3F1KlT4erqCgCIjY3F4sWLNf24jx49isOHD+s2KRERUQVkZWuHzn0HAOBZ7oru3MG9eGPI+6jZuBn6fzQFP30xVepIJCGbpd9AnpKMfDt7pCxY8sz1bR2d4OTuARt7RxgZF/8TWggBdU42ctVqyOVGkBsZwcio4F9jE1PYODjCxsFRs25achKS4mKQHB+HvNxcXT88quK8AmrA2MQEGWmpiIuKlDpOlad10Z2fn4/58+dj/vz5sLa2BgCkpaUVWSciIkI36YiIiCq4bv2HwMzCAqF3b+Pm+dNSx6Fn2PjNV5i/fS869XkPB7asQ0QQR/Kl0pkqzODk7gEnd0+Ymplplueq1UhLSUZaShIyUlORo1JBrc4BSuheKZPJYG5pBQtrG1hYW8PKxrbgMvR/i3DvmnWgTIhH9KOHyExLLc+HRwbK2t4Bjm4eEEIUXFbObr+S07ro/q8ni20iIqKqxMRUge6DRgAA/ljPs9yVwf1rl3HhyH606fYGhkyZhXmjB0kdiSogE4UCHtX94eTuoZlmTp2Tg8SYaCTFRiMzvex/AwshkJmeVnCf6IJlCjNz2Lu4wsHVDRZW1rB3cYW9iyuUiQmIDg9DujJFD4+KqgKZXA6fmgXjb8VFRfCLnAriuYruPn364N1334W3tzdMTU2L3NasWTOdBCMiIqroOvTqA3tnF8Q/jsL5w/ukjkNl9PN389G8Y1c0fbkTGrXrgBvn/pI6ElUQRsYmcPepDhdPL8j/HSA4NTkJ8Y8jkRIfp7OBgrNVWYh59BAxjx7CzNISbl7V4ejqBltHJ9g6OiE1OQkRQfeRlZGuk/1R1eHmXR1mFpbIyc7G49AQqePQv7QevXzChAnYsGEDYmNj0aRJE1y6dAmJiYnw8/PDoUOH9JGRiIiowpHJZHhz+BgAwP5Nq9knsxKJefQQh7dtBAAMnToL8qcMgEVVh7OnFxq0aQc37+qQGxkhLSUZgVcu4cH1K0iOi9XbzDyqjAw8vHcHty6eR3xUJPLz82Fj74C6zVuhmn8NTfFP9CwKcwu4e1cHUDAnd14efy9VFFr/lhk3bhxGjx6Njz76CDk5OVi4cCG6du2KZcuWwdbWVqttjRg1Bucu38CjOCUexSlx9NR5dOn6muZ2hUKBRUtWIDQqAZEJadi8fRecXVy0jUxERKRzTV7qCE+/AGSkpeLYrm1SxyEt7Vq5BGkpyfCpVRcd3+4ndRySkkyGWk2aw6dmbRgbmyAzLQ0PblzF/Wv/ICNVWW4xclRZCH8QiNt/n0NSXCxkcjncvKujXss2sHNyLrccVHn51KwNuZERlEkJSI6LlToO/YfWRbe3tzfOnz8PAMjKytIMprZlyxa89957Wm3rcVQk5sz8HK+0aYaObZvj9F8nsG3XXtSuUxcAMH/RYrzWoyeGDXwHPV7tADd3D2zZsVvbyERERDrXY8j7AIDju7ZBlZEhcRrSVroyBbtWLgEAvDdxKswsLKQNRJIxMTUtMpfx3X/+RmpSomR5crJVCL1zE0E3riE7KxMKM3MENGiM6nXq8aw3lcrBxQ02Do7Iz8vDo/v3pI5DT9C66I6JiYGDgwMA4NGjR2jdujUAwNfXVzPQRFkdPrgffx45hNCQYIQEB+F/s2ciIz0dLVq1ho2NDQYPG4kZUz/G6VMncePaVXw4ejhat2mH5i1baRubiIhIZ6r510Dj9q8gLy8Ph37eIHUcek6Ht21CzKOHsHdxRa+R46SOQ+XIxNQUxiaF4xLJkJqUiDuXLyD+ccWZWkmZlIA7ly4gOjwMQgg4uXmgbvNWMDYzlzoaVTBGxsbwCqgJAIgOD0O2KkviRPQkrYvuEydO4M033wQAbNiwAYsXL8bRo0exY8cO/P77788fRC5H73f6wcLSEpf+voDGTZvB1NQUf504plkn6MF9RDwKR8tWbUrdjqmpKaytrYs0IiIiXXp98EgAwOXjRxAXxWkyK6tcdQ62fDcPANBrxFg4uLhJnIjKg5WdPeo2bw3Zv33583LVeHDjKnJUKomTFZefn4+o0GDcv/YPclQqmFlYwtm/NkKSeXUN/T9PvwCYKBTIyshAzKOHUsehEmhddI8ePRrz5hX8gvrxxx8xYsQIBAYG4osvvsDYsWO1DlC3Xn1EJqQhLjUbi5f/hEHvvo379wLh4uqG7OxsKJVF+9LExcbCxbX0X4ofT52GiPhUTbsbGqV1JiIiotJY2drhlV7vAAAObFkrcRp6UX8fOYB7Vy9DYW6O/hOnSh2H9MzN2we1GjWFiUIBIfIBAPl5eRKnerZ0ZQruXP4bKQnxkMnluBGXircnTIWpwuzZdyaDZmljA2ePagCARw8C9TbgH70YrYvuatWqIe8/H047duzAxIkTsWLFCri5af8NcdCD+3ipZWN0fqkV1q1ZiZVrN6FW7Tpab6fQ9wsXwMvZRtPq+nk+97aIiIie1LnvACjMzREWeAd3L/8tdRzSgY3ffAkA6Pj2u6heu57EaUgf5HI5/Os1RDX/mpDJ5UiMeYzkT2cief5iKD+fI3W8MsnLVSP41nUoH0dABqBe2w6Ys2knbB2dpI5GUpHJ4FOzDmQyGRKiHyMtJVnqRFQKrYvusLAwODsXH0HRwcEBYWFhWgdQq9UICw3BjWtX8dWs6bh96wbGjJ+IuNgYKBSKYiOiu7i6Ii42ptTt5eTkIC0trUgjIiLSBbmREboPHA4AOLB5jcRpSFeCblzF2QN7IZfLMXTqF1LHIR0zNjFFrSbNYe/iivz8fITfD0RY4B3kWdtA2DtA2NpJHVErGYlxaO/lgKz0NNRq3Bxf7zwArxq1pI5FEnDx9IKFtQ1y1WpEhjyQOg49hdZFt0wmK/GyBSsrK6h00BdGLpdDoVDg+tUryMnJQYeOnTW3BdSoCS9vH1y6eOGF90NERKStVl26w9nDE8rEBJw9sFfqOKRDW7+fD3VONhq2fQlNX+4kdRzSETMLC9Rp1gKWNrbIVefgwfUrFWqwtOflbKHAhlkfI/phKFw8vTB/+x9o3L6D1LGoHJkoFPD09QcARIYEIVetljgRPY1xWVf87rvvAABCCMydOxeZmZma24yMjNCqVStcv35dq51/MXc+jh05hMiIR7Cyskbf/gPQ/uVX0LtnN6SmpmLLxnWYt/B7JCcnITU1FQu/X46LF87jn0sXtdoPERGRLhROE3b0ly1Q52RLnIZ0KS4qAge3rEevkWMxZOoXuH7ur0rR15dKZ2Vrh4AGjWFsYgJVZiaCbhZMwWUokmIe4/P+PTFl2RrUb9kW01ZuxtKpE3D+0B9SR6Ny4B1QC0bGxkhXpiAhmmNYVXRlLrqbNGkCoOBMd4MGDZCTk6O5LScnBzdu3MC3336r1c6dnV3w07rNcHVzR6pSiTu3b6J3z244dbxgxPLpUyYjPz8fm7f/BlOFAif+PIJPJnJKDyIiKn/+9RuiTrOWUOfk4PAvm6SOQ3qw66el6Ni7H7wCaqJz3/fw546fpY5Ez8nW0Rn+9RtCLpcjXZmC4FvXi50JVJw5CVl2NoRCgeyXOkqU9MWkpyRj7sj3MH7BErz0xtuY/N2PMLe0wvFd26SORnpk6+gEexdXiH+7S1DFV+aiu1Ongkut1q9fj4kTJ+qkr/SEMe8/9fbs7GxMmTQeUyaNf+F9ERERvYgegwt+Z50/9AdS4uMkTkP6kJmWip0/fI/3Z/4P/SdMwbkDe5GZzrFhKht7F1f41akPmVyO5Pg4hN69BZGfX2w984N7IU9JRr6dfaUtugEgV63GsqkTkJmehm79h2Dc/76FhZUV9m1cLXU00gO5XA7vGrUBALGRj5CVkS5xIioLrft0jxgxgoOTERFRlWLn7IK23d8EwGnCDN3RXzYjKiwEdk7O6DtustRxSEuObh7wq9sAMrkcCTGPEXLnZokFt6HJz8/H6jmf4/c1PwAAhn0+B/0mfCpxKtIH9+p+UJibI1uVhcdhIVLHoTLSuui2sLDAV199hXPnziEoKAghISFFGhERkaF5rf9QmJiaIvDKJYTcvil1HNKjvNxcbJhfMIJ5j8Ej4ekbIHEiKisXTy/41qkHmUyGuKgIPAy8A1SxOYt//m4eti5eAAB498OPWXgbGDNLS7h6+QAAHj24h/wq8IWSoSjz5eWF1q5diw4dOmDLli2Ijo7mBOxERGTQTEwV6Np/MADgwGae5a4Krp05iX9O/onmHV/FsGlzMG/0IKkj0TO4ennDK6Bg2qyYR+FVevqk3auWI0elwvBpX+LdDz9GXm4udq1cInUs0gGfmnUg/7fbhDIxQeo4pAWti+7u3bujR48eOH/+vD7yEBERVSjte/SCraMT4h9H4eKxQ1LHoXKy8es5aNSuA5q+3AnNXumCK6eOSR2JSuHi6aUpuB8/DOUltwD2b1oDIyNjDJk6C+9NnIq83Fz8vmaF1LHoBTi5e8Lazh55ubmICLovdRzSktaXlycnJyMpKUkfWYiIiCqcHkNGAQAObd3AKaSqkOjwMOz/dyCq4dO+hLGJqcSJqCTOHtXgXbNgUCkW3EXtXb8SP38/HwAw6JPp6Dn8A4kT0fMyMTVFNf8aAICosGDkZKskTkTa0rronjVrFr766iuYm5vrIw8REVGFUbdFa/jWqYfsrCxOwVMF7Vq1FElxMXD38cUbQ0dJHYee4OTuCZ9adQAUfEnCgru431evwC/LFgEAhn02G936D5E4ET0Prxq1YWxigoxUJeIiI6SOQ89B66L7k08+Qbdu3RAbG4ubN2/iypUrRRoREZGhKJwm7NTeX5GuTJE2DJU7VUYGfv52HgCg79hJcHBxkzgRFXJ0c0f12nUBFPThjgoNljhRxfXrj4s1fbrf/2I+2r3eS9pApBVbR2c4/Dsn98N7d6WOQ89J6z7de/bs0UMMIiKiisXF0wstu7wGADi4ZZ3EaUgqp/ftRtf3hqJ2k+YY9vkcfP/xGKkjVXl2Ts6oXqug4I6NfFSlB00rq+1LF8LSxg7dBw7DR98sQ0aqEtfPnpI6Fj2D3MgIPv92n4iJCOec3JWY1kX3V199pY8cREREFUr3QcMhl8tx/ewpRIYESR2HJCKEwJovp2Hhb4fR7vU3cfy37bhx7i+pY1VZVnb2/z8Pd3TUCw0olefihnxzcwhrWx0mrLjW/W8GrGxt8dIbb2Pq8nX4ckR/3L92WepY9BSefgEwNTODKisT0Q9DpY5DL0Dry8sLNW3aFAMHDsTAgQPRuHFjHUYiIiKSlpmlJTr3eQ8Apwkj4OG9Ozj083oAwKhZ82BiqpA4UdVkbmWNGg0aQ25khOT4ODy8H/hC20ub/DlSv1iAtMmf6yhhxSaEwPLPJ+LqX8ehMDfH9J82aQaho4rH0sYGLp5eAIDw+4Gck7uS07rodnZ2xvHjx3H58mUsW7YMy5Ytw5UrV3Ds2DE4OTnpIyMREVG56vjWu7C0sUVUWAiunTkpdRyqAH5ZtgiJsdFwr+6Ht0Z9KHWcKkdhboGajZrCyNgYaclJCL17CxBC6liVTl5uLhZNHI3AK5dgZWuHmat/hqObh9Sx6AkymQw+tepCJpMhIfox0pI5c1Rlp3XRvXz5clhbW6NevXpwdHSEo6Mj6tevDxsbGyxbtkwfGYmIiMqNTCbD64NHACjoyy34hz0ByMpIx8YFcwAAvUePh5t3dUnzVCUmpgrUbNQUJqamyEhLRdCt6xA86/fcclRZWDB2KCKC7sPRzQMzV/8MC2sbqWPRf7h6+cDCyhrqnByOWWAgtC66X3vtNYwbNw737t3TLAsMDMSHH36I7t276zQcERFReWvyUkd4VPdHRqoSp/bslDoOVSDnD+/D9bOnYKoww6gv5ksdp0owMjZGzcZNoTA3hyozA0E3riI/L0/qWJVeRqoS/xs9CImx0fCuWRuf/bCec9FXEApzC3hU9wMARATfR65aLXEi0gWti265XA51CS++Wq2GXP7cXcSJiIgqhB5DCqYJO/7bdqgyMyVOQxXN2rkzkJOtQuP2r6Bt9zeljmPQ5EZGqNGwCcwtrZCjUuHB9as6LUAs1/8E62WLYLn+J51tszJJiI7CvNGDkZmehvot22LC10shk8mkjlXl+dSqDbmREZRJCUiKjZE6DumI1lXyiRMnsHTpUri7u2uWeXh4YPHixTh+/LhOwxEREZWnav410Lj9K8jLy8OhnzdIHYcqoOjwMOxevQIA8P7M/8HazkHiRIZJJpPBv35DWNnaIVedgwc3riInW6XTfZgE3YNJ4G2YBN179soGKvz+XSwcPxK5ajXa9+iFwVNmSR2pSnN0c4eNvSPy8vIQfr/qHpeGSOuie/z48bCxscHDhw8RHByM4OBghIWFwcbGBhMmTNBHRiIionLx+uCRAIDLx48gLipC4jRUUf2+ejkePbgHW0cnDJ/+pdRxDJJvnfqwdXBCXm4ugm5egyozQ+pIBuvW32fxw/TJAIBeI8agx7+fg1S+jE1M4BVQEwDwOCwEOaosiRORLmk9T3dkZCSaNm2KLl26oHbtgmkGAgMDeZabiIgqNStbO7zS6x0AwIEtnCaMSperVuOHGR9j/i/70OHNPjh7YA+u/sW/g3TFu0ZtOLi6IT8/HyG3byAjNVXqSAbv9L7dcHTzwKBPpmPYtC+RGBuNv48elDpWleJdsw6MTUyRmZaK2MhHUschHXvuTtjHjh3DihUrsGLFChbcRERU6XV5ZyAU5uYIvXsbdy//LXUcquCCb13H/k1rAAAfzPkG5pZWEicyDB7V/eBSzQtCCIQF3kYqp0oqN7+vWYFDWzdCLpdj4qIVqNOspdSRqgx7F1c4uLgiPz8fYffucjo8A1Tmortjx464c+cOrK2ti91mY2OD27dvo3379joNR0REVB7kRkZ4bcAwAMBBnuWmMvpl2SJEPwyFk7sHBk+ZKXWcSs/F0wsevv4AgEcP7iE5LlbiRFXP+nkzcenYYZgqzPDZDxvg6RcgdSSDZ2xqCp+aBVcPR4eHISs9TeJEpA9lLronTZqENWvWIC2t+IGQmpqKVatW4eOPP9ZpOCIiovLQqkt3OHt4QpmYgLMH9kodhyqJHFUWfpz1KQCgW/8hqN+qrcSJKi8HVzd4/1t4RIUGI/5xpMSJqqb8/Hws/vRD3L/+D6zt7DFrzTbYu7hKHcug+fx7WXlGWipiwsOkjkN6Uuaiu1GjRjh8+HCptx89ehTNmjXTSSgiIqLy9MbQUQCAI79shjonW+I0VJncvfw3jmzfBAD4cP5iWFgVvyKQns7W0QnVa9cDAMRGhCOahYekclRZWDBmGB4/DIGzZzVM/2kLu0/oiYOrO+ydXZCfn4+HgXcgeFm5wSpz0e3q6lri/NyFcnNz4ezsrJNQRERE5cW/fkPUbtoC6pwcTfFEpI3N3/4PsRHhcPH0wvuz5kkdp1KxtrOHf72GkMvlSIx5jIjgB1JHIgBpKUn43/sDkZIQD7+69fHpsjUwNjGROpZBMTFVwLtGLQDA44chyMpIlzgR6VOZi+6oqCjUr1+/1NsbNmyI6OhonYQiIiIqLz0Gvw8AOH/oD6QkxEuchiojVUYGlk6dgLy8PHTo1RftXu8ldaRKwdLGBgENGkNuZITk+LiCAaSowoiNfIT5YwYjKyMDjdt1wJi5i6SOZFCq16kLYxMTZKQqEfMoXOo4pGdlLroPHjyIuXPnQqFQFLvNzMwMX375Jfbv36/TcERERPpk5+yCtt3fBADs37xG4jRUmd2/9g9++2kpAOCDOV/Dyd1T4kQVm7mlFWo0bAojY2OkJiUi9O6tch+xWdWuA1Sdu0HVrkO57rcyCbl9E99NGo283Fx0fOtdvDdxqtSRDIKrl3fBPPR5eQgLvMPRyquAMhfd//vf/+Dg4IAHDx5gypQpePPNN/Hmm29i6tSpuH//PhwcHDBvHi+pIiKiyuO1/kNhYmqKwCuXEHrnltRxqJL79cfFeHD9CixtbDHhm6WQy597ZlaDpjA3R81GTWFsYoJ0ZQqCb9+AyM8v9xyqN95GZt8BUL3xdrnvuzK5duYkVs3+DADQd+wkvNpvkMSJKjdzKyt4+tUAAEQGP4AqM0PiRFQeyvzbIC4uDm3btsXt27exYMEC/P777/j9998xf/58zXRhcXFx+sxKRESkMyamCnTtPxgAcGAzpwmjF5efl4elUycgKyMD9Vu2Ra+R46SOVOGYKBSo2agZTBQKZKanIejmNeTn5Ukdi57h+G/bsWPFdwCAUV8sQPOOXSVOVDnJ5XL41W0AuVyO5Pg4jtJfhWj1FeyjR4/Qo0cPODk5oVWrVmjdujWcnJzQo0cPPHz4UE8RiYiIdK/9G2/B1tEJ8Y+jcPHYIanjkIGIefQQ6+fNAgC8N3Eq6jRrKXGiisPYxAQ1GzWDwtwcqswMPLh+FXm5uVLHojLaueI7HPt1G4yMjPDx9ytRo1FTqSNVOtUCasHc0go52dkIv88xDKqS57ruKSUlBf/88w8uX76MlJQUHUciIiLSv8IB1A5t3cAzbaRTJ3b/gtP7dsPI2BifLF4FO2cXqSNJzsjYGDUbNYW5pSWyVVl4cP0qctU5UsciLa3+8nNc/es4FObmmLZyE9x9fKWOVGnYOTnDxbMaACAs8DZynzIrFBkedjYiIqIqp26L1vCtUw/ZWVk4vmub1HHIAP30xRSEPwiEvYsrPl2yukpPtySXy1GjYRNYWNtAnZONB9evIidbJXUs2E2bBIexQ2E3bZLUUSqNvNxcfDf5AwTfvgFbB0fMXLMVto5OUseq8EzNzDRz0cc8eoi05CSJE1F5Y9FNRERVzhtDRgEATu39FenKFGnDkEHKzsrCognvIyMtFXWatcSQKbOkjiQJuVyOgIaNYWVrh1y1Gg+uX0V2VqbUsegFqDIzMf+DwYiNCIebd3XMXLMNFlbWUseqsGRyOfzrNyoYODBViajQYKkjkQRYdBMRUZXi4umFFp27AQAOblkncRoyZNHhYVg29SMAQI8h76N9FRslu6DgbgIbe0fk5eYi6OY1ZGWkSx2LdECZmIC57w9ASkI8/OrWx7SVm2BqZi51rArJu0ZtWFrbQJ2Tg5DbNyA4PViVxKKbiIiqlO6DhkMul+P62VOIDAmSOg4ZuH9OHsWulUsAAOPmfgv/+o2kDVRO5EZGqNGoKWzsHZCXm4sHN64iI1UpdSzSoejwMMx9fwAyUpWo26I1PlnyE4yMjaWOVaE4uXvA2cMTQgiE3b0FdXa21JFIIiy6iYioyjCztETnvgMAcJowKj87ln+rGXxqxqotcPXykTqSXsmNjFCjYRNY29kjN1fNgtuAPbx3B/PHDEV2Vhaav/Iqxi9YAplMJnWsCsHCyhreNWoDAB6HhSCV/birNBbdRERUZXR8611YWtsgKiwE186clDoOVRH5+fn47uMxCLlzE7aOTpi1Zits7B2kjqUXRsYmqNmoaUHB/W8fbhbchu3e1Uv4duIo5KrVeLlnb4yavUDqSJIzNjGBf/1GkBsZISUhHtHhYVJHIomx6CYioipBJpPh9cEjABT05Wa/OipPqoyMgsGnIh/BvbqfQfaBNVEoULtp8/8MmnYFmWmpUseicnD19Aks++wj5Ofno1v/IRg5839SR5KMTC5HQIPGBfPRZ2UiLPC21JGoAmDRTUREVUKTlzrCo7o/MlKVOLVnp9RxqApKSYjHvFGDkJaShJqNm+Hj71dCbmQkdSydMLOwRJ2mLWFuaYUclQr3rl5GZnqa1LGoHJ07uBc/TJ+M/Px8vD5oBIZP+1LqSJLwrV1P88VT8M1ryMvNlToSVQAsuomIqEroMbRgmrBju7ZDlckpi0gaUWHBWDB2OLJVWWjRqSsmf/tDpR98ysTCErWbtoCpmRmyMtJx7+plqDIzpI5FEji151esnPkpAOCNoaMwZOoXEicqX56+/nBwdUN+fj5Cbt/g7xrSYNFNREQGzyugJhq364C8vDwc2rpe6jhUxd2/dhnfTx4LdU4O2nZ/E58uWQ1jE1OpYz2XiNQsOPrWLJiDWJmCe1f/QU62SupYJKETu3/BT19MAQD0GjGmysxR7+jmAffqfgCA8Pt3kZaSLHEiqkhYdBMRkcF7Y+hoAMClY4cQHxUpcRqigqnEFo4fgZxsFVp2eQ2f/bAepgozqWOVmVwuR8f+w3A5OgVyuRwpifF4cP0K8nLVUkcrs/ThHyBtwqdIH/6B1FEMzp87t2L1l9MAAL1GjsXoOV9DLjfcssPWwQk+teoAAB4/DEViTLTEiaiiMdyjn4iICICNgyNefrM3AGDfxtUSpyH6f1dPn8D8D4ZAlZmJpi93wrSfNsHMwkLqWM9kYW2DaSs3oV2vdwAAafExCL55Hfn5+RIn005uzTpQ122A3Jp1pI5ikI5s34SVsz7VDK42cdGKSt+VoiQ29g7wr98QcrkciTHReBwWInUkqoBYdBMRkUHr9t5QmCrM8OD6Fdy/9o/UcYiKuPX3Wfxv1ABkpqehYZuXMG/bXrhW85Y6Vql8atXF1zsPoGmHzlDnZKOFux3SYqKkjkUV1LFft2HxJ+OQq1ajfY+3MHXFukp1RcezWNvZI6BBY8iNjJAcH4uH9+5IHYkqKBbdRERksExMFeg+YBgAnuWmiivwyiV8ObwfkuPjUL12PXyz6xAatesgdawi5HI5eo0ch29+PQhPX3/EP47CpjlT4WVjWNOeke6dP/QHvh43DNlZWWj+yquYtXYbrOzspY71wqxsbTUFd0pCPELv3OJUlFQqFt1ERGSwXu7ZG7aOToiPisTffx6UOg5RqYJvXcfUPq/hwfUrsLazx8w1W/H2qPFSxwIAOHtWw5xNv2LIlJkwMTXFpeNHMLVPN8SEBUsd7YUYPwiEyd1bMH4QKHUUg3ftzEnMff89ZKSlom6L1vh6x354+gZIHeu5WdnaoUbDpjAyNoYyKQEhd26y4P6/9u48PqZ7/+P4e0Y2iSREJLFEUPtSsat97W4p3S5aut22WkU3SlVVdaGlfq0uLqVcRTdaqqi1WoqiltprD9mTyb7InN8fIVdICE1yJpPX8/H4PiZz5nvOvCfffB/tx/ecM7gqim4AgNPqNST7Bmo//ne27FlZJqcBri42MlzjHuqvn79aIKvVqkEvjNGYT+epUtVqpuQp4+KiOwY+oqnfr1WjVrcoNTlZH499Qe8+84gS4mJNyVSYys35TN4fvqdycz4zO0qpcGDHNo39V29FnD6pyiE19fbiZQ53RkdBVKgUoLpNswvuhLhY/b13t4wSdj8DFD+KbgCAUwrt0FnBdeopNTlJa7/+0uw4QIGcz8zQp6+9pE9fe0mZGelq0aWHpi/fqL6PP1OsN6Fq3qmbpn6/Vo+PmyTPct46uHO7XujbQ2u/XVhsGeB8Th89rNH336X9f2yVl4+vxn42X3cMfMTsWAXmVTFAtRrdfOEa7kgd3bOrxN1AEOag6AYAOKVeQ7K/BmjN118qJSnR5DTA9fn5qwV6oW9P7du2We5ly+qhF8dqyner1LhNuyJ931qNmmjcrC81duZ/Ve2mOrLFxmjm66M17qF+ijh9skjfG6VDQlysJjzygNYvWawyLi56fNwkPT/1U3l6+5gdLV8Wi1W7I23yrRIsi8WiyDOn9Pe+3RTcKDCKbgCA0wmuU0+hHbooKytLK+bPNjsOcEPCjh3V+Ifv1Yejh8sWG6OQug004Ytv9O43P6lTr35ycXUtlPdxcXVVh7vv0aSFP2jKt6sU2qGLMjMy9P3sT/Tsbe21atE8Ls9AoTqfmaGPXhmpue9O0PnMTLW/s7feX/qz6jVraXa0K/hW9NcDL4/X33EpkrJX608dOWRyKpQ0zvdleQCAUq/X4Oxrubf+vEKRYadNTgP8MxuWfq0/NqzRg8NeUrf+D6h246YaPuUjPfTSq1rz9ZfatWm9/t63W1nnzxf4mG4eZdWwZWvd3K6zOvXqpwqVAiRJmRkZ2rxymRZ/+B4r2yhyy+Z8pgN/bNXI9z9WUPUamjj/O3398TR9+9n/OcQ/9IR26KJh70xXef9Kslqk6JPHmBe4IRTdAACn4lvRX51695PE14TBeSTFx2nWxDFa/OF76vnAQN0x8BH5BQTp/mee1/3PPK/U5CTt3/67DuzYptiIc0qMj1NCXKySExNUzsdXFSoFqkKlAPkFBql+81aq16ylXN3cc44fE3FOqxfN15qvFyg+OsrET4rS5ujeP/XiPbfqidfeUuc+9+rB517SLbfdpVkTx2r/H1tNyeTi6qZBL4zJuRln5KkT+lenlpq/Z4cpeVDyUXQDAJzK7QOGyNXNXYf+/EOH/+R/kOBcEuNj9d1nH+qHzz/VLbfdrTY971DjNu3kXd5PLbr0UIsuPQp8rKizYdqzZZN2blyj7etWX9dKOVCYUpOT9H+jntOfv27Qo2PfUEi9hpr43yXatHyJ5k2eqNjI8GLL0rJrTz304quqdlMdSdKP82drz8/L9NRWc/4BAM6BohsA4DTc3D10278GS5KWzWGVG87rfGamNi3PLkosFouq122gJm3b66bGTeVTwU/eFfzkU95PXr6+SrbZFBcdqfioSMVFRejkoQPas2WTzp08bvbHAHL5Zdl32rlpvQYMf1k9H3hIHe++Ry273qoV82dpxYI5io+KLLL3vqnxzXr45dfUuHX2zQptMdH6aMxI7dy4Vs2aNSuy90XpQNENAHAanXr3k69fRUWGndbWNT+ZHQcoFoZh6OSh/Tp5aL/ZUYB/LCk+TjMnvKKfv/5Sj4+bpPrNWqr/U8PV+9GntGn5Uv0w51OdLqQbmVksFjVu0163PviQ2t3eS5KUnpaqH+fN0pKZH/HNFyg0FN0AAKdx94UbqK2YP9shbsIDALgxx/fv1asD+qhV99vU+5Gn1KBFa3Xr94C69XtAB3du1x/rf9YfG36+oQI8MDhEXfrepy5971NA1WBJkt1u18YfvtGi6VMUfS6ssD8OSjlTi+6RL41Wrz79VKdefaWlpmrb75s1fuwoHT1yOKePu7u73nz3ffW/70G5ubtr3c+r9MLwoYqKLLrTSwAAJU9ohy4Krl1XKUmJWvvNQrPjAHBw8W9/YHYEXINhGNq2ZqW2rVmpOjc3U+9HnlSbW+9S/eatVL95Kw16YYyiws5o37bfdO7kCUWcOaWI0ycVHx0pVzd3ubq5y83DQ96+5VWzYRPVbhKq2k2ayi8gKOc9khNs+vXHpVq1aD5ni6DImFp0t+/YWbM+m6Gdf2yXi4uLxr3xlpb8uFptQhsqJSX7u/DemjJNt95xl4YMvE82m01Tpn2k+Yu/0+1dO5gZHQDgYHo98qQkae03X3JKIAA4mSN7dun9kU/JL7CyWnbpoRZde6hJ2w6qVLWaut7zwHUdKysrS/t+/03rvlukbWtWKiM9rYhSA9lMLbrv7X1HrudDnxiiv89EKbR5C23+dZN8fHz00JDH9PjgAfplw3pJ0jP/fkTb9xxUy9Zt9Mc27iIIAJCq162v0PadlZWVpR/nzzY7DgCgiMRGnNPqxfO1evF8uXmUVZO27VWjfiMFBocoqHqIAquFyMfPT5np6cpIS1NGeprSUpJ18vBBHd37p47u3a3jB/YpIy3V7I+CUsShrun28fGVJMXFxkqSQpu3kJubmzauW5PT58jhQzp96qRat7klz6Lbzc1N7u7/+95Jb2/vIk4NADBb7wur3Ft/XqGosDMmpwEAFIeMtFTt2LBGOzasuXZnwEQOU3RbLBa9/d4H2rL5Vx3Y/5ckKSAwSOnp6bLZbLn6RkZEKCAwKK/D6PmXX9HoV18v6rgAAAdRMaiKOt7dT5L0/exPTE4DoKTwWL5E1rRU2T3KKu3ue8yOA8CJWc0OcNF702eoYaPGeuyhB//RcaZOflvBlXxyWsNaVQspIQDAEd09+HG5uLpq39bfdHTvn2bHAVBCePy2UR5rV8njt41mRwHg5BxipXvytA912513664enXQ27H+36I+MCJe7u7t8fX1zrXYHBAYqMiI8z2NlZGQoIyOjyDMDAMzn5eOrnvcPkiQtnfWxyWkAAACuZPpK9+RpH+ru3veo923ddPLEiVyv/blzhzIyMtS5a/ecbbXr1FVw9RBt27qlmJMCABzN7f8arLJe5XTi4F/atWm92XEAAACuYOpK93vTZ+i+BwZowH19lJSUqIDAQElSgs2mtLQ0JSQkaP7c2Zo0eari4mKVkJCgyVM/1NYtm7lzOQCUcm7uHrrzocckscoNAAAcl6lF9+NPDpUk/fhz7mtphj4xRF/O/0KSNOalkbLb7Zq38Fu5ubtr3c+r9MLwocWeFQDgWLr0vU/l/SspKuyMNq9cZnYcAACAPJladJf3sFyzT3p6ul4a8axeGvFsMSQCAJQEVqtVvR99SpL0w9zPlHX+vMmJAAAA8mb6Nd0AAFyvNj3vVOWQmkqMj9Xab740Ow4AAEC+KLoBACVO3yeekST9tGCu0lNTTU4DAACQP4puAECJEtqhi2o3bqq0lBStmP+52XEAAACuyiG+pxsAgILq/9RwSdLPX81XYnysyWkAlFSZderLmpQoezlvs6MAcHIU3QCAEqNhyzZq2LKNMjPS9f3nn5odB0AJlnzhZowAUNQ4vRwAUGJcXOVe991ixUVGmJwGAADg2ii6AQAlwk2Nmyq0QxdlnT+vpf+ZYXYcAACAAqHoBgCUCP2ffE6StGn5EkWGnTY5DQAAQMFwTTcAwOEF16mnNj3vkN1u13czPzQ7DgAn4D3tHVkSbTK8fZU4crTZcQA4MYpuAIDD6/fvYZKkrT+vUNixoyanAeAMykSGyxofJ3tqqtlRADg5Ti8HADi0KjVvUvs7+0iSvv2MVW4AAFCyUHQDABzavU8NV5kyZbR93Wod37/X7DgAAADXhaIbAOCwqtS8SR3uvkeS9NWM901OAwAAcP0ougEADuviKve2tat07C9WuQEAQMlD0Q0AcEi5V7mnmpwGAADgxlB0AwAc0r1Pj8hZ5eZabgAAUFJRdAMAHE7VmrXV4a6+kqSvPuJabgAAUHJRdAMAHE7/py9cy71mpY4f2Gd2HAAAgBvmYnYAAAAuVbXWJavcXMsNoIik3tlHlvR0Ge7uZkcB4OQougEADmXAiFEqU6aMtv78E6vcAIpMeseuZkcAUEpwejkAwGHc1Lip2t56l+x2uxZOf9fsOAAAAP8YRTcAwGEMHPmKJGnjD9/o9NHDJqcBAAD45zi9HADgEBq3aa+m7TspMyNDiz98z+w4AJycxRYv2e2S1SrDt7zZcQA4MYpuAIBDGPh89ir3z1/9V1FhZ0xOA8DZ+b7zuqzxcbKXr6D4tz8wOw4AJ8bp5QAA07XufrvqNm2utJQUffPJB2bHAQAAKDQU3QAAU1mtVg0YMUqS9OO8/8gWE21yIgAAgMJD0Q0AMFWn3v0VXKeeEuPjtHT2J2bHAQAAKFQU3QAA07h5lM1Z5V7ynxlKSUwwOREAAEDhougGAJim15B/q2JQFUWGndaK+bPNjgMAAFDoKLoBAKYo719J9zzxrCTpv++/pcyMdJMTAQAAFD6KbgCAKR4Y9qLKennp8O6d+m3F92bHAQAAKBIU3QCAYhdcp5663ztAkjT3nQkmpwEAACg6FN0AgGL38EvjVKZMGW1ZtVyHdm03Ow4AAECRcTE7AACgdGnavrOad+qmzIwM/ff9t8yOA6CUShg+ShZ7lgxrGbOjAHByFN0AgGJTxsVFj7ySfTr5yi/nKvzUCXMDASi17EGVzY4AoJTg9HIAQLG5c9CjCq5dV7aYaH01Y6rZcQAAAIocRTcAoFiU96+k+599QVL2V4SlJCaYnAgAAKDocXo5AKBYDHpxrDzLeevw7p1av2Sx2XEAlHJu27bIkpEuw81dGa1vMTsOACdG0Q0AKHL1mrVS1773y263a9bEsTIMw+xIAEo5zyWLZY2Pk718BYpuAEWK08sBAEXKarXq8XGTJElrv1mov/ftNjkRAABA8aHoBgAUqZ73D1Ktho2VZIvXl9PeNjsOAABAsaLoBgAUmfKVAjTw+VckSQunT1ZCXKzJiQAAAIoXRTcAoMg8NuYNefn46ujeP7V68Xyz4wAAABQ7im4AQJFo2bWn2t3RW1nnz+uTcS/JnpVldiQAAIBiR9ENACh0Zb3K6YnXsq/f/mHOZzpx8C+TEwEAAJiDohsAUOgGjBwt/8pVFH7qhL6aMdXsOAAAAKah6AYAFKo6TZvr9gFDJEmfjR+ljLRUcwMBAACYyMXsAAAA5+Hi6qanJ06R1WrV+qVfac+WTWZHAoA82X18cz0CQFGh6AYAFJoHhr2gkLoNZIuJ1hfvvGF2HADIV8IrE8yOAKCU4PRyAEChqNeslfo8NlSS9On4l5UYz3dyAwAAUHQDAP4xD09PDXvnA5UpU0brlyzWtjUrzY4EAADgECi6AQD/2MMvjVPlkJqKOhumzye9ZnYcAAAAh8E13QCAfyS0Q2fd9q/BkqQZY0YqJSnR5EQAcG2eC+bImpIsu6eXUgY+YnYcAE7M9JXudh06atG3P+jAsTDFpxm6q1efK/qMeW2CDh4/q3NxKVq64mfVuqm2CUkBAJcrV76Chk7K/h7uH+fN0t7ffzU5EQAUjNu+3XLbuV1u+3abHQWAkzO96Pb09NLevbv10ohn8nx9+Asv68mhz+n5YU+pR8c2SklO1nfLV8nd3b2YkwIALvfsW9NUMbCywo7/rf9OfdvsOAAAAA7H9NPL16xeqTWr87/hztPPjtCUd97UiuU/SJKeeuxhHT4Vobt699V3Xy8urpgAgMv0GvJvtep2qzLS0zR15FPKSEs1OxIAAIDDMX2l+2pCatZUUOXK2rhuTc62hIQE7di+Va3b3JLnPm5ubvL29s7VAACFq3aTUA16Yawkae47E3Ti4F8mJwIAAHBMDl10BwYGSZIiIyNybY+MiFDAhdcu9/zLr+h0VEJO238srMhzAkBp4unto+enfSoXV1dtXrlMqxZ+YXYkAAAAh+XQRfeNmDr5bQVX8slpDWtVNTsSADiVZya9r8Bq1RVx+qQ+efVFs+MAAAA4NIcuuiMiwiVJAQGBubYHBAYq8sJrl8vIyFBiYmKuBgAoHHcPfkJtb71LmRkZen/kk3w9GAAAwDU4dNF98vhxhZ87p85du+ds8/b2VotWbbRt6xYTkwFA6XNzu056+OXXJEnzpkzU3/v2mJwIAADA8Zl+93IvL69c37sdUqOmmtzcVHFxsTpz+rQ++egDvTj6Vf199IhOnjiuseMnKvzcWf34w1LzQgNAKRNUvYaen/qJypQpo3XfLdaK+bPNjgQAAFAimF50N2vRUstXb8h5/taUaZKkL+fP1dAnHtH09yfLy8tLH8yYKd/y5fX75l/Vv9ftSk9PNykxAJQuZb3KafSMOfIuX0GH/9yhma+PNjsSAPxj6S3bypKSLMPTy+woAJyc6UX3r79sVHkPy1X7vPXGeL31xvhiSgQAuMhisei5yR8quE49xUSc07vDHlNmBv/oCaDkS+3/oNkRAJQSDn1NNwDAXANGjlbr7rcpIz1Nk599TPFRkWZHAgAAKFEougEAebpj4CPq9+9hkqRPx72ko3v/NDcQAABACUTRDQC4Qttb79SjYydKkhZOn6yNP3xrciIAAICSyfRrugEAjqVhyzYaPuUjWa1WrVr4hb755AOzIwFAofN9fbSstjjZfSvI9vo7ZscB4MRY6QYA5AiuU0+jP54rN3cPbf35J82aONbsSABQJCzpabKkpcmSnmZ2FABOjqIbACBJqlyjll6bvVBePr46sGObPnjxGdntdrNjAQAAlGgU3QAAVQ6pqQlffC2/gCCdPHxA7wwdogxWfwAAAP4xim4AKOWCqtfQhC++VsXAyjp1+KBeH3K/kmzxZscCAABwChTdAFCKBQaHaMIX36hiUBWdPnJI44fcp4TYGLNjAQAAOA2KbgAoparWrK0JX3wj/8pVdProYQpuAACAIkDRDQClUJ2mzTVp4VJVqlJVZ/4+oteH3CdbTLTZsQAAAJwORTcAlDLNO3fXhLlfy7u8nw7v3qlXB96j+Ogos2MBAAA4JYpuAChFut5zv0bPmCP3smW1c+NavT7kPiXGx5odCwAAwGm5mB0AAFD0rFarHnzuJfV/argkaf3Sr/TJqy8q6/x5k5MBgDmSBwyRMjIkNzezowBwchTdAODkPL19NGLKR2rRpYckacnMj/TfqW+ZnAoAzJXZJNTsCABKCYpuAHBiVWvV1uiP56hKjZuUnpaqj199Ub8uX2J2LAAAgFKDohsAnFS723vp6Tffk2c5b0WFndG7wx7T8f17zY4FAABQqlB0A4CT8fDy0uOvvqmu9zwgSdq39Te9P+JJJcRxwzQAuKjMyeOyZGXJKFNGWSE1zY4DwIlRdAOAE6nTtLlGTPlIQdVrKCsrS999+n/6+pNp3DANAC7j/el0WePjZC9fQfFvf2B2HABOjKIbAJyAq5u7+j/5nPo9OUxlXFwUFXZG019+Vgd2bDM7GgAAQKlG0Q0AJVzjNu315IR3VKXGTZKkTcuXaOaEV5SSmGByMgAAAFB0A0AJ5VPBTw+Pek1d+94vSYqNDNfsSeP0+6ofTU4GAACAiyi6AaCEcXP30J0PPaZ+/35WXj6+stvtWvnlXC384F2lJCWaHQ8AAACXoOgGgBLCarWqc5979eBzL8u/chVJ0rG/9uqz10fp6N4/zQ0HAACAPFF0Ayh2wcHB8vf3NztGiWGxWtWwbUe173O/AqrXkCTZoiO1YfE87f1tg7xdLGrWrNlVjxEdHa3Tp08XQ1oAAABciqIbQLEKDg7WwYMH5enpaXYUh5dlN3QyIUVHYpOVnJklSXK1WlSvYjndVCdIj7R/v8DHSklJUf369Sm8AQAAihlFN4Bi5e/vL09PTy1eu0lRcTaz4zgkq4urvPz85elXSWVcXSVJWefPKzkmQsnRUTppz7qu41Wq4KsHuneUv78/RTcAAEAxo+gGYIqoOJvORseaHcOh+PhVVKUq1VTev5IsFoskKSMtTeGnTyj6bJjsdrvJCQEAAHC9KLoBwERe3j7yCwxShYAgubm752xPiItV1Nkzio+KlGEYJiYEAOcUP/5tyZBkMTsJAGdH0Q0AxcliUTkfX/lW9FeFSoHyuOTa9vOZmYoJP6uos2FKS0k2MSQAlAIeZc1OAKCUoOgGgCLm6uYu7woV5OvnL9+KFeXi6pbzWlZWluKjoxQbcU4JsTGsagMAADgZim4AKGRuHmVVzsdX3uUryLtCBXl4euV6/Xxmpmwx0YqPiZItOoprtQEAAJwYRTcA/ANu7h4qW66cPMt5y8vHV14+vnJ1c8vVxzAMpSQmKiEuRraYaCUl2CRWtAHAVB5rVsqSlirDo6zSetxudhwAToyiGwCuwWKxyL2sp9zLesrD01MeZT3l4eWlsl7l5HLhK70uZbfblZqUqCRbvBLi4pRki1PW+fMmJAcA5Mdj7UpZ4+NkL1+BohtAkaLoBlDqWa1Wubq7y9XNXa7u7nJzd5e7R1m5Xyiw3TzK5nyF1+XsdrvSUpKVmpSo5IQEJScmKCUpUQanjAMAAEAU3QCcmMVqlaubm1zdsgvpi0W1q7u73C7+7Oae52r15bLOn1daaorSU1KUlppyodBOUlpKMjc/AwAAQL4ougGUOBaLRS5ubrkKabdLCuqLRfaldwm/lqysLGWmpyszI10Z6enKSEtVemqK0i4U2eczMorwEwEAAMBZUXQDcCiubrkL5+yf3a5YnS4oe1ZWTiGdmZGeq7DO/jlDmenpysrimmsAAAAUPopuAMXCarXK17+SqtxUV2GJqfKqGKBqvhXl5u4hNw+PnKLaYrUW6Hh2u/1/RXR6ujIuKagvfc4NzAAAAGAmim4AhcJisahCQJCCqocoKLiGgqqHKDA4RBWDqsg/qIoqBATmXDu99Wy8fKsEyzeP4xh2e/bq81VXp9N1PjOzeD8gAAAAcAMougEUmIurmwKqBSsoOESB1WsoKDhEQdVrKDA4RAHVguXuUfaq+2dlZSk5PlY1qlZRWHiEbAmJykhPU2Z6mjLS05SRll1QAwAAAM6CohtALp7lvK8oqC+uXlesXEXWq5z+nXX+vKLOnlH46ZOKOHVCEadPKersGUWHn1VM+DnFRUWo6c03a+fOnfpo++86Gx1bjJ8MAAAAKH4U3UApVCEg8LKi+n+PPhX8rrpvWkqKIk6fUPipkznFdfjpkwo/dULR58K4hhoAUCKcDw6RtYKf7OW8zY4CwMlRdDuQ4OBg+fv7mx2j1ImOjtbp06fNjlGoXFxdValKtZxCOvv66uzV68DgELmXvfpp4PHRUdkF9YUWfiq7yI44fULx0VHF9CkAACg6SUNHmh0BQClB0e0ggoODdfDgQXl6epodpdRJSUlR/fr1S1zh7eHldckNy2rknAIeWD1E/pWrqkyZMvnum5WVpeizZy6sVp9QxIXH8FMnFXHmpNKSk4vxkwAAAADOi6LbQfj7+8vT01OL125SVJzN7DilRqUKvnqge0f5+/s7XNHt4uqmSlWrKaBqsAKqBSuwanVVuvhzteryrXj1syLSU1OvLKgvPEadPcNp4AAAAEAxoOh2MFFxNm4uVUq4ly0rv8DKqhhYWZWqVlNg1eoKqBasgGrVFVC1mioEBF31pmWSZIuNybmm+tLiOvz0CcVHRRbTJwEAAACQH4puoJBZLBb5+FW8UFAHyS8gSH6BQaoYVCX78cJzL5+8vqU6t7SUFEWeOaXIs6cVeea0Is+cUsSZU4oKO6PwUyeUmpxUDJ8IAADnU+7jabImJcpezpvruwEUKYpuB2GxWGUYhtkxkAcXV1d5+fjmNJ8KfvL185dvRX/5+GX/7ONX8X+PFf3l6uZWoGOnJicpNiJcUWfPKDIsu7COOHMqu9AOO62E2Jgi/nQAAJROLqdPyhofJ3v5CmZHAeDkKLodxP0vjtOSw+Gq0qSFqlzHfobdLsMwcjVd9vx/2/Lva7/0ODk/22XYL9nvsj72PPvk1T+7jz2nbx77XchyXSwWWSwWWSxWWa3Zj5aLjxaLLNZLtuc8LyNrmTIqUyb70du7nPZEJuiuJ4apc0qqynqVyy6uvX3k5eurcj7lr3mn77zY7XbZoqMUExmu2IhwxUacy36MDFdM+DnFXHjOSjUAAADg3Ci6SziL1SqL2SFKuKNxyWrW7fZr9ktOsCk5MUEJsTFKiI2RLTZaCbGxssVEKyEuRraYaNlisx/joiK4URkAAAAAim5HseTDyfpl0yb954dVCo+JlyRZrllNW7L7XLLia7nw8/+2Xd6suV+zXrbvZSvG1gsrxDl9Lu1/2SryxWNar+h/2bFzVp2vfpOw63Hpyro9r5X6C492u11ZWedlz8qSPStLHq6ual63pmZ++omOHT2qtJQUJSfEKzkhQUkJNqUk2JSUYFNqUqLsdnuh5QUAAABQOlB0O4iMtFS5lbHKyMpS1vlMs+MUn4uFuuX6C3BD/zvV/UZV8fdT4/ZN9euSxdq1a9cNHwcAAAAA8lJ4S41F7PEnh2rPoeMKj0/Vml9+V/OWrcyOhMJwoWjOyjp/3c2elfWPCm4AAAAAKGoloui+5977NWnyVL07aYI6t22ufXt367tlq+RfqZLZ0QAAAAAAyFeJKLqfee55ffH5f7Rg3lwdOnhAI599SikpKRo0+FGzowEAAAAAkC+Hv6bb1dVVoc1baNqUt3O2GYahjevXqHWbW67o7+bmJnd395zn3t7euR4dlZeXlySpsr+fXF0cflichn95H0lSs2bNcsYARatu3bqS+FsvTvydFz/+zosff+fFr6T/naf7+khZ5yVfH4UEBZgdp8D4Wy9+Jf1vvSS6+Hfu5eXl0HVcQbNZJF3nlyMXr6DKlXXw+Fn17HyLtm/9PWf7hEnvqn3HzurRqW2u/qNfHa/Rr76ea5uvuwAAAAAAKHRVq1bV2bNn833d6f6pZurktzVj+tRc2/z8/BQbG2tSooLx9vbW/mNhalirqhITE82OgzwwRo6PMXJ8jJHjY4wcH2Pk2Bgfx8cYOb6SNEbe3t5XLbilElB0x0RH6/z58woICMy1PSAwUJER4Vf0z8jIUEZGRq5tjj5Ql0pMTCxReUsjxsjxMUaOjzFyfIyR42OMHBvj4/gYI8dXEsaoIPkc/kZqmZmZ+nPnDnXu2j1nm8ViUacu3bVt6xYTkwEAAAAAcHUOv9ItSTP+b6o+mfWFdu38Qzu2b9PTw0bIy8tLC+bNMTsaAAAAAAD5KhFF95JvvpK/fyWNee0NBQQGae/uP9W/9+2Kiow0O1qhSU9P1ztvvq709HSzoyAfjJHjY4wcH2Pk+Bgjx8cYOTbGx/ExRo7P2cbI4e9eDgAAAABASeXw13QDAAAAAFBSUXQDAAAAAFBEKLoBAAAAACgiFN0AAAAAABQRiu5i0q5DRy369gcdOBam+DRDd/Xqc819OnTqrI1bdijClqadfx3RgIcGF0PS0ut6x6hDp86KTzOuaAGBgcWUuHQZ+dJorft1m05HJejIqQgt+GqJatepe839+vS7V9t2H1B4fKp++2OPet52RzGkLZ1uZIwGPDT4ijkUHp9aTIlLn0efeEq/bd+tU5E2nYq0afWGzepx6+1X3Yc5VLyud4yYQ+Ya8eIoxacZenvKtKv2Yx6ZpyBjxDwqXqNfHX/F73vb7gNX3aekzyGK7mLi6emlvXt366URzxSof0iNGlq85Edt2rheHVuH6pMPP9D/fTJL3XrcWsRJS6/rHaOLWjSuq7ohQTnNmb7KzpG079hZsz6boZ6d2uqeu3rKxdVVS35cLU9Pz3z3ad32Fs2et1Dz585WpzbNtGLZUi34eqkaNGxUjMlLjxsZI0my2Wy55lCTuiHFlLj0ORt2Rq+/Olpdbmmhru1a6peN6/TlN9+rfoOGefZnDhW/6x0jiTlklmYtWuqRx5/Uvj27r9qPeWSego6RxDwqbvv/2pfr9317tw759nWWOWTQirfFpxnGXb36XLXP62++Y2zesTfXttnzFhrf/PCT6flLQyvIGHXo1NmITzMMX19f0/OWxlbR39+ITzOMdh065tvn8/mLjEXfLcu17eeNW4ypH35iev7S0AoyRgMeGmycDI8zPWtpbsfPxhgPDXk0z9eYQ47RrjZGzCFzmpeXl/HH3kNG527djeWr1xtvT5mWb1/mkeOPEfOoeNvoV8cbm7buKnB/Z5hDrHQ7qNZtb9HGdWtybVu3ZpVatbnFpETIz6Ztf+rg8bNa8uNqtbmlndlxSg0fH19JUlxsbL59WuUzj1ozj4pFQcZIkrzKldPewye07+gpffn10quu6KHwWK1W9bvvAXl6eWnb71vy7MMcMldBxkhiDpnhvekztPqnH7Vx3dpr9mUemeN6xkhiHhW3WrXr6MCxMP154G/NnPtfVQsOzrevM8whF7MDIG8BgUGKjIzItS0yIkK+vr7y8PBQWlqaSclwUfi5cxrx7JPateMPubu76+FHHtfy1RvUo2Mb7f5zl9nxnJrFYtHb732gLZt/1YH9f+XbLzCfeRQQGFTUEUu9go7RkcOH9OyTj+qvvXvk4+urYSNe1KoNm3VL80Y6GxZWjIlLj4aNGmv1xi3y8PBQclKSBt1/jw4dzPtaOuaQOa5njJhDxa/ffQ/o5tDm6ta+VYH6M4+K3/WOEfOoeP2xbauGPjFERw8fUmBQZY0aO14/rd2kW5o3VlJS0hX9nWEOUXQDN+jokcM6euRwzvNtv29RzVo3aehzI/Xkow+bmMz5vTd9hho2anzV639groKO0fatv2v71t9znm/dslnbdh/QI48/qUkTXivqmKXSkcOH1LF1qHx8fdWn3736ZNYXuqtn53yLOhS/6xkj5lDxqlqtmt55b7ruuaun0tPTzY6DPNzIGDGPitea1Stzfv5r317t2L5Vew6f1D333q/5cz83MVnRoeh2UJER4QoIyH0X7IDAQNlsNla5HdiO7dvUth2FYFGaPO1D3Xbn3bqrR6dr/utzRD7zKDIivCgjlnrXM0aXO3/+vPb8uUs1b6pdROmQmZmp48f+liTt3rVTzVu00lPPDtfIZ5+6oi9zyBzXM0aXYw4VrdBmLRQQGKiNv+/M2ebi4qJ2HTrpiaefVYCPu+x2e659mEfF60bG6HLMo+Jls9n095HD+f6+nWEOcU23g9r2+xZ16to917Yu3Xtq+9b8r+mC+Zo0DVVE+DmzYzitydM+1N2971Hv27rp5IkT1+y//fct6nz5POrWU9uYR0XmesfoclarVQ0bN1HEOeZRcbFarXJ3d8/zNeaQY7jaGOXVlzlUdDauX6tbmjdWx9ahOW3nH9v19aIF6tg6NM9ijnlUvG5kjC7HPCpeXl5eqlnrpnx/384yh0y/m1tpaF5eXkaTm5saTW5uasSnGcbQYSOMJjc3NaoFBxuSjNcmvmV8OvuLnP4hNWoYYTFJxoRJ7xp16tYzHvv300Z0UqbRrcetpn8WZ23XO0ZPPzvcuPPu3kbNWjcZDRo2Mt6eMs2IST5vdOrazfTP4oztvekzjJPhcUb7jp2MgMDAnObh4ZHT59PZXxivTXwr53nrtrcYUYkZxrPDnzfq1K1njH51vBGZkG40aNjI9M/jjO1GxujlMeOMrj16GiE1axpNQ5sZs+Z9aZyLSzHq1W9g+udxxvbaxLeMdh06GtVDQoyGjRobr018y4hNyTK6dO+R5/gwhxx/jJhD5rfL74zNPHK8dq0xYh4Vb5v49hSjfcdORvWQEKN121uMJT+uNo6ejjQq+vvnOT5OModMD1Aq2sWvl7q8ffyfOYYk4+P/zDGWr15/xT6//L7TiLClGbv2HzUGPDTY9M/hzO16x+i5518ydv51xDgXl2IcC4s2lq1aZ3Ts3MX0z+GsLa+xiU8zcs2L5avX54zXxdan373G9j0HjQhbmrF5x16j5213mP5ZnLXdyBi9NXmqsffwCSPClmYcOnHOWLxkuXFz01DTP4uztg8/nWXsOXTciLClGUdORRhLV/ycU8zlNT4Sc8jRx4g5ZH67vKBjHjleu9YYMY+Kt82et9A4cCzMiLClGX8dPW3MnrfQqFGrVr7jI5X8OWS58AMAAAAAAChkXNMNAAAAAEARoegGAAAAAKCIUHQDAAAAAFBEKLoBAAAAACgiFN0AAAAAABQRim4AAAAAAIoIRTcAAAAAAEWEohsAgBtgsVj0wgsvKDQ01OwoAADAgVF0AwBwA95880116tRJe/bsKZTjrV+/XtOmTbuufcaPH69du3YVyvsXhePHj2v48OEF6lu2bFl98803stlsMgxDvr6+hZJhypQpioiIUJ8+fTRx4kTde++9hXJcAAAKiqIbAIAL5syZI8MwNGrUqFzb+/TpI8Mwcj3v0qWLHnzwQdnt9uKOWaj8/f318ccf6+TJk0pLS9O5c+e0cuVKtWvXrsDHGDx4sOLi4q7Y3qpVK82cObPAx+jYsaPatWunoKAg2Wy2Ar//1fTo0UO9evXS8OHDdeutt2r16tWFclwAAArKxewAAAA4ktTUVI0aNUqfffaZ4uPj8+zz/fff6/vvvy/eYEXk22+/lZubmwYPHqxjx44pMDBQ3bt3V8WKFf/xsaOjowvc96abbtKBAwf0119//eP3vVSzZs0kSd26dSvU4wIAUFCsdAMAcIk1a9YoPDxcr7zySr59Ll3ZrVOnjgzDUL169XL1GTFihI4ePZrzvFGjRlqxYoUSExMVHh6uefPmXXdhO2rUKIWHhyshIUGzZs2Sh4fHFX0ee+wx7d+/X6mpqTpw4ICefvrpfI/n6+urTp06adSoUdqwYYNOnTql7du365133tGyZcty+o0cOVJ79uxRUlKSTp06pRkzZsjLy0uS1LlzZ82dO1fly5eXYRgyDEPjx4+XdOXp5ePHj89ZUQ8LC9P06dMlZZ9a/+KLL6pz584yDEPr16+XJA0aNEjbt29XQkKCzp07pwULFqhSpUq5PkPDhg21bNky2Ww2JSQk6JdfflGtWrUkSS1bttTq1asVFRWl+Ph4bdiwIacIvyg4OFhLly5VYmKibDabFi9erICAgAKPCQAA10LRDQDAJbKysjRmzBgNGzZMVatWvWb/I0eOaPv27Ro4cGCu7QMHDtSXX34pKbu4XbdunXbt2qWWLVvq9ttvV2BgoL766qsC57rvvvv0+uuva8yYMWrZsqXOnTunoUOH5uozYMAAvfHGGxo7dqwaNGigMWPGaOLEiXr44YfzPGZSUpISExPVt29fubm55fvedrtdzz33nBo1aqTBgwerW7dumjx5siRp8+bNGj58uGw2m4KCghQUFKT33nvvimP0799fI0eO1JNPPqk6deqob9++2rt3rySpX79+mjlzpjZv3qygoCD169dPkuTq6qpx48apadOm6tu3r2rUqKG5c+fmHLNKlSr65ZdflJ6erm7duqlFixb6/PPP5eKSfSKft7e3vvjiC3Xo0EFt27bVkSNHtGLFCpUrV05S9s3wvv/+e/n5+alz587q2bOnatWqpcWLFxdwVAAAKBiDRqPRaDSajDlz5hhLliwxJBmbN282Zs2aZUgy+vTpYxjZF3UbkozBgwcbcXFxOc+HDx9uHDlyJOd5nTp1DMMwjHr16hmSjLFjxxorV67M9V5Vq1Y1DMMw6tSpY0gy1q9fb0ybNi3fbL/99pvx0Ucf5dq2ZcsWY9euXTnPjxw5Yjz44IO5+owdO9b47bff8j1uv379jJiYGCMlJcX49ddfjUmTJhlNmjS56u+pf//+RlRUVL6/j4vt+PHjxvDhww1JxsiRI42DBw8aLi4ueR5z2rRpxvr166/6vi1atDAMwzC8vLwMScakSZOMv//+O99jXt4sFoths9mMu+66y5Bk9OjRw8jMzDSqVauW06dBgwaGYRhGy5YtTf97pNFoNJpzNFa6AQDIw6hRozR48GDVr1//mn0XLVqkGjVqqE2bNpKyV7l37NihQ4cOSZKaNm2qrl27KjExMacdPHhQUva1zAXRoEEDbd26Nde2LVu25Pzs6emp2rVra/bs2bne59VXX73qe3z33XeqUqWKevfurZUrV6pLly7auXOnBg8enNOne/fuWrNmjc6cOaOEhATNnz9f/v7+Klu2bIGyS9LXX3+tsmXL6tixY5o5c6b69u2rMmXKXHWf5s2b64cfftDJkyeVkJCgjRs3SpKqV68uSQoNDdWmTZt0/vz5PPcPCAjQzJkzdfjwYcXHxyshIUHlypXL2b9BgwY6ffq0zpw5k7PPgQMHFBcXpwYNGhT4swEAcDUU3QAA5GHTpk1atWqV3n777Wv2jYiI0Lp16zRgwABJ2ad5L1iwIOf1cuXKadmyZQoNDc3VateurV9++aVQ8l48ZfqJJ57I9R6NGzdW27Ztr7pvenq61qxZozfffFPt27fX3LlzNWHCBElSSEiIli9frj179qh///5q0aKFnnnmGUm66inplztz5ozq1aunoUOHKjU1VR9//LF++eWXnFPBL+fp6alVq1YpISFBAwcOVKtWrXTPPffket/U1NSrvucXX3yh0NBQDR8+XO3atVNoaKhiYmKuKzcAAP8Udy8HACAfo0eP1p9//pmzYn01CxYs0OTJk7Vw4ULVqlVLixYtynlt586d6t+/v06cOKGsrKwbynLgwAG1adNG8+fPz9l2aTEdGRmpsLAw1apVK+da8hu1f/9+9e3bV5LUokULWa1WvfDCCzlfm3b//ffn6p+RkXHNVWtJSktL0/Lly7V8+XLNmDFDhw4dUpMmTfL8rvH69evL399fo0ePzlmJbtmyZa4+e/bs0eDBg+Xi4pLnanf79u01dOhQ/fTTT5KkatWq5boR24EDBxQcHKxq1arlvEeDBg1UoUIF7d+//5qfBwCAgmClGwCAfOzbt08LFizQc889d82+3333nby9vfXJJ59o/fr1OnfuXM5rM2bMkJ+fnxYuXKiWLVuqVq1auvXWW/X555/Lai3Yf4qnT5+uRx99VEOGDFGdOnX0+uuvq1GjRrn6jB8/Xq+88oqGDRumOnXqqHHjxhoyZIhGjhyZ5zH9/Py0du1aDRw4UE2aNFGNGjV077336uWXX875SrSjR4/Kzc1Nw4YNU82aNTVo0CA99dRTuY5z4sQJeXt7q1u3bqpYsWKep50PHjxYjz76qBo1apRznJSUFJ08eTLPbKdOnVJ6enrO+/bq1Uvjxo3L1eejjz6Sj4+PFi1apBYtWqh27doaNGiQ6tatKyn7JncPPfSQ6tevr9atW2vBggVKSUnJ2X/NmjXau3evFixYoGbNmqlVq1aaN2+eNmzYoB07dlxjRAAAKDjTLyyn0Wg0Gs0R2qU3UrvYQkJCjLS0tKveSO1iW7RokWEYhjFkyJArXqtdu7bx7bffGrGxsUZycrKxf/9+Y+rUqTmvX+tGapKMV155xYiMjDQSEhKMOXPmGO+8806uG6lJMv71r38ZO3fuNNLS0oyYmBhjw4YNRt++ffM8npubm/HWW28Zf/zxhxEXF2ckJSUZBw4cMN544w3Dw8Mjp9+IESOMsLAwIzk52fjpp5+MQYMGGYZhGL6+vjl9Pv74YyMqKsowDMMYP368IeW+kVqfPn2MLVu2GPHx8UZiYqKxefNmo1u3bjn753UjtQcffNA4duyYkZqaavz222/G3XffbRiGYTRt2jSnT5MmTYyVK1caF23cuNGoWbOmIckIDQ01tm3bZqSkpBiHDh0y+vfvnyuTJCM4ONhYunSpkZiYaNhsNmPx4sVGQECA6X+LNBqNRnOeZrnwAwAAQInl5eWl9evXq127dvneWA0AADNwejkAACjRQkJCFBQUpEqVKqlx48ZmxwEAIBeKbgAAUKINGTJEf/31l8LDw3X48GGz4wAAkAunlwMAAAAAUERY6QYAAAAAoIhQdAMAAAAAUEQougEAAAAAKCIU3QAAAAAAFBGKbgAAAAAAighFNwAAAAAARYSiGwAAAACAIkLRDQAAAABAEaHoBgAAAACgiPw/rqFeBrQPzuQAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Média de Satisfação dos Funcionários Ativos: 3.89\n" + ] + } + ], + "source": [ + "# Filtrar o DataFrame para selecionar apenas funcionários ativos\n", + "funcionarios_ativos = df_rh[df_rh['Status_Emprego'] == 'Ativo']\n", + "\n", + "# Defina o tamanho da figura\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "\n", + "# Crie um gráfico de distribuição (histograma) usando Seaborn\n", + "sns.histplot(funcionarios_ativos['Satisfação_Funcionário'], kde=True, color= 'lightblue', alpha=0.7)\n", + "\n", + "# Configure rótulos e título\n", + "plt.title(\"Distribuição do Nível de Satisfação dos Funcionários Ativos\")\n", + "plt.xlabel(\"Nível de Satisfação\")\n", + "plt.ylabel(\"Contagem de Funcionários\")\n", + "\n", + "# Calcula a média da satisfação dos funcionários ativos\n", + "media_satisfacao = funcionarios_ativos['Satisfação_Funcionário'].mean()\n", + "\n", + "# Adiciona a média ao gráfico\n", + "plt.axvline(media_satisfacao, color='darkred', linestyle='dashed', linewidth=2, label=f'Média de Satisfação: {media_satisfacao:.2f}')\n", + "\n", + "# Adiciona uma legenda ao gráfico\n", + "plt.legend(loc='upper left')\n", + "\n", + "# Configuração de cores dos rótulos nos eixos x e y\n", + "plt.tick_params(axis='x', colors='aliceblue')\n", + "plt.tick_params(axis='y', colors='aliceblue')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "#Exiba a média\n", + "print(f\"Média de Satisfação dos Funcionários Ativos: {media_satisfacao:.2f}\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Tempo de Serviço dos 10 Funcionários com Maior Pontuação de Performance" + ] + }, + { + "cell_type": "code", + "execution_count": 686, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "# Classifique o DataFrame pelo engajamento em ordem decrescente\n", + "df_rh_sorted = df_rh.sort_values(by='Pontuação_Performance', ascending=False)\n", + "\n", + "# Selecione os 10 funcionários com maior pontuação de performance\n", + "top_10_performance = df_rh_sorted.head(10)\n", + "\n", + "# Preencher valores vazios na coluna de desligamento com a data atual\n", + "data_atual = pd.to_datetime('now')\n", + "\n", + "# Criar um novo DataFrame df_recrutamento com os top 10 funcionários\n", + "df_recrutamento = top_10_performance.copy()\n", + "\n", + "# Converter as colunas 'Data_de_Desligamento' e 'Data_de_Admissão' para datetime com dayfirst=True\n", + "df_recrutamento['Data_de_Desligamento'] = pd.to_datetime(df_recrutamento['Data_de_Desligamento'], format='%d/%m/%Y', dayfirst=True, errors='coerce').fillna(data_atual)\n", + "df_recrutamento['Data_de_Admissão'] = pd.to_datetime(df_recrutamento['Data_de_Admissão'], format='%d/%m/%Y', dayfirst=True, errors='coerce')\n", + "\n", + "# Calcular o tempo de empresa em dias\n", + "df_recrutamento['Tempo_na_Empresa_Dias'] = (df_recrutamento['Data_de_Desligamento'] - df_recrutamento['Data_de_Admissão']).dt.days\n", + "\n", + "# Calcular o tempo de empresa em anos\n", + "df_recrutamento['Tempo_na_Empresa_Anos'] = df_recrutamento['Tempo_na_Empresa_Dias'] / 365\n", + "\n", + "# Crie uma figura para o gráfico\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Defina uma paleta de cores personalizada para representar os departamentos\n", + "paleta_cores = {\n", + " 'Produção': 'orchid',\n", + " 'Tecnologia da Informação/Sistemas': 'darkcyan',\n", + " 'Engenharia de Software': 'rebeccapurple',\n", + " 'Escritórios Administrativos': 'gold',\n", + " 'Vendas': 'lightcoral',\n", + " 'Escritório Executivo': 'lightskyblue'\n", + "}\n", + "\n", + "# Use o Seaborn para criar um gráfico de barras agrupadas\n", + "ax = sns.barplot(data=df_recrutamento, x='Nome_do_Funcionário', y='Tempo_na_Empresa_Anos', hue='Departamento', palette=paleta_cores)\n", + "\n", + "# Adicione rótulos e título\n", + "plt.xlabel('Nome do Funcionário')\n", + "plt.ylabel('Tempo de Serviço (anos)')\n", + "plt.title('Tempo de Serviço dos 10 Funcionários com Maior Pontuação de Performance')\n", + "\n", + "# Personalize os rótulos do eixo X com os nomes dos funcionários\n", + "plt.xticks(rotation=45, ha='right')\n", + "\n", + "# Adicione os valores nas barras\n", + "for p in ax.patches:\n", + " ax.annotate(f'{p.get_height():.0f} anos', (p.get_x() + p.get_width() / 2., p.get_height()), ha='center', va='bottom')\n", + "\n", + "# Adicione bordas às barras\n", + "for p in ax.patches:\n", + " p.set_alpha(0.7)\n", + " p.set_edgecolor('aliceblue')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Salários dos 10 Funcionários com Maior Pontuação de Performance" + ] + }, + { + "cell_type": "code", + "execution_count": 689, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Classifique o DataFrame pelo engajamento em ordem decrescente\n", + "df_rh_sorted = df_rh.sort_values(by='Pontuação_Performance', ascending=False)\n", + "\n", + "# Selecione os 10 funcionários com maior pontuação de performance\n", + "top_10_performance = df_rh_sorted.head(10)\n", + "\n", + "# Crie uma figura para o gráfico\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Defina uma paleta de cores personalizada para representar os departamentos\n", + "paleta_cores = {\n", + " 'Produção': 'orchid',\n", + " 'Tecnologia da Informação/Sistemas': 'darkcyan',\n", + " 'Engenharia de Software': 'rebeccapurple',\n", + " 'Escritórios Administrativos': 'gold',\n", + " 'Vendas': 'lightcoral',\n", + " 'Escritório Executivo': 'lightskyblue'\n", + "}\n", + "\n", + "# Crie um dicionário para rastrear os departamentos já adicionados à legenda\n", + "departamentos_adicionados = {}\n", + "\n", + "# Crie um gráfico de barras empilhadas para exibir os salários por departamento\n", + "for i, row in top_10_performance.iterrows():\n", + " departamento = row['Departamento']\n", + " if departamento not in departamentos_adicionados:\n", + " plt.bar(row['Nome_do_Funcionário'], row['Salário'], color=paleta_cores.get(departamento, 'gray'), label=departamento, alpha=0.7, edgecolor='aliceblue')\n", + " departamentos_adicionados[departamento] = True\n", + " else:\n", + " plt.bar(row['Nome_do_Funcionário'], row['Salário'], color=paleta_cores.get(departamento, 'gray'), alpha=0.7, edgecolor='aliceblue')\n", + "\n", + "# Adicione rótulos e título\n", + "plt.xlabel('Nome do Funcionário')\n", + "plt.ylabel('Salário')\n", + "plt.title('Salários dos 10 Funcionários com Maior Pontuação de Performance')\n", + "\n", + "# Personalize os rótulos do eixo X com os nomes dos funcionários\n", + "plt.xticks(rotation=45, ha='right')\n", + "\n", + "# Adicione a legenda\n", + "plt.legend(title='Departamento')\n", + "\n", + "# Adicione os valores nas barras\n", + "for i, row in top_10_performance.iterrows():\n", + " plt.annotate(f'${row[\"Salário\"]:.2f}', (row[\"Nome_do_Funcionário\"], row[\"Salário\"]), ha='center', va='bottom')\n", + "\n", + "# Exiba o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/exercicios/para-casa/dados_rh.csv b/exercicios/para-casa/dados_rh.csv new file mode 100644 index 0000000..3c4b976 --- /dev/null +++ b/exercicios/para-casa/dados_rh.csv @@ -0,0 +1,312 @@ +Nome_do_Funcionário,ID_Funcionário,Casado,ID_Estado_Civil,ID_Gênero,ID_Status_Funcionário,ID_Departamento,ID_Pontuação_Performance,ID_Feira_Diversidade,Salário,Desligado,ID_Cargo,Cargo,Estado,CEP,Data_de_Nascimento,Gênero,Estado_Civil,Nacionalidade,Hispano_Latino,Raça,Data_de_Admissão,Data_de_Desligamento,Motivo_Desligamento,Status_Emprego,Departamento,Nome_Gerente,ID_Gerente,Fonte_Recrutamento,Pontuação_Performance,Pesquisa_Engajamento,Satisfação_Funcionário,Contagem_Projetos_Especiais,Data_Última_Avaliação,Dias_Atraso_30_Dias,Faltas +"Adinolfi, Wilson K",10026,0,0,1,1,5,4,0,62506,0,19,Técnico de Produção I,MA,1960,10/07/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,05/07/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,LinkedIn,Supera,4.6,5,0,17/01/2019,0,1 +"Ait Sidi, Karthikeyan ",10084,1,1,1,5,3,3,0,104437,1,27,DBA Sênior,MA,2148,05/05/1975,M ,Casado(a),Cidadão dos EUA,Não,Branco,30/03/2015,16/06/2016,Mudança de carreira,Demissão Voluntária,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indeed,Atende Plenamente,4.96,3,6,24/02/2016,0,17 +"Akinkuolie, Sarah",10196,1,1,0,5,5,3,0,64955,1,20,Técnico de Produção II,MA,1810,19/09/1988,F,Casado(a),Cidadão dos EUA,Não,Branco,05/07/2011,24/09/2012,Horas de trabalho,Demissão Voluntária,Produção,Kissy Sullivan,20.0,LinkedIn,Atende Plenamente,3.02,3,0,15/05/2012,0,3 +"Alagbe,Trina",10088,1,1,0,1,5,3,0,64991,0,19,Técnico de Produção I,MA,1886,27/09/1988,F,Casado(a),Cidadão dos EUA,Não,Branco,07/01/2008,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Indeed,Atende Plenamente,4.84,5,0,03/01/2019,0,15 +"Anderson, Carol ",10069,0,2,0,5,5,3,0,50825,1,19,Técnico de Produção I,MA,2169,08/09/1989,F,Divorciado(a),Cidadão dos EUA,Não,Branco,11/07/2011,06/09/2016,Retorno à escola,Demissão Voluntária,Produção,Webster Butler,39.0,Pesquisa no Google,Atende Plenamente,5.0,4,0,01/02/2016,0,2 +"Anderson, Linda ",10002,0,0,0,1,5,4,0,57568,0,19,Técnico de Produção I,MA,1844,22/05/1977,F,Solteiro(a),Cidadão dos EUA,Não,Branco,09/01/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Amy Dunn,11.0,LinkedIn,Supera,5.0,5,0,07/01/2019,0,15 +"Andreola, Colby",10194,0,0,0,1,4,3,0,95660,0,24,Engenheiro de Software,MA,2110,24/05/1979,F,Solteiro(a),Cidadão dos EUA,Não,Branco,10/11/2014,,Não se aplica - Ainda empregado,Ativo,Engenharia de Software,Alex Sweetwater,10.0,LinkedIn,Atende Plenamente,3.04,3,4,02/01/2019,0,19 +"Athwal, Sam",10062,0,4,1,1,5,3,0,59365,0,19,Técnico de Produção I,MA,2199,18/02/1983,M ,Viúvo(a),Cidadão dos EUA,Não,Branco,30/09/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Indicação de Funcionário,Atende Plenamente,5.0,4,0,25/02/2019,0,19 +"Bachiochi, Linda",10114,0,0,0,3,5,3,1,47837,0,19,Técnico de Produção I,MA,1902,11/02/1970,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,06/07/2009,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Feira de Empregos para Diversidade,Atende Plenamente,4.46,3,0,25/01/2019,0,4 +"Bacong, Alejandro ",10250,0,2,1,1,3,3,0,50178,0,14,Suporte de TI,MA,1886,07/01/1988,M ,Divorciado(a),Cidadão dos EUA,Não,Branco,05/01/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,Indeed,Atende Plenamente,5.0,5,6,18/02/2019,0,16 +"Baczenski, Rachael ",10252,1,1,0,5,5,3,1,54670,1,19,Técnico de Produção I,MA,1902,12/01/1974,F,Casado(a),Cidadão dos EUA,Sim,Negro ou Afro-americano,10/01/2011,12/01/2017,Outra posição,Demissão Voluntária,Produção,David Stanley,14.0,Feira de Empregos para Diversidade,Atende Plenamente,4.2,4,0,30/01/2016,0,12 +"Barbara, Thomas",10242,1,1,1,5,5,3,1,47211,1,19,Técnico de Produção I,MA,2062,21/02/1974,M ,Casado(a),Cidadão dos EUA,Sim,Negro ou Afro-americano,02/04/2012,19/09/2016,Insatisfação,Demissão Voluntária,Produção,Kissy Sullivan,20.0,Feira de Empregos para Diversidade,Atende Plenamente,4.2,3,0,06/05/2016,0,15 +"Barbossa, Hector",10012,0,2,1,1,3,4,1,92328,0,9,Analista de Dados,TX,78230,04/07/1988,M ,Divorciado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,10/11/2014,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Feira de Empregos para Diversidade,Supera,4.28,4,5,25/02/2019,0,9 +"Barone, Francesco A",10265,0,0,1,1,5,3,0,58709,0,19,Técnico de Produção I,MA,1810,20/07/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Duas ou mais raças,20/02/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,Pesquisa no Google,Atende Plenamente,4.6,4,0,14/02/2019,0,7 +"Barton, Nader",10066,0,2,1,5,5,3,0,52505,1,19,Técnico de Produção I,MA,2747,15/07/1977,M ,Divorciado(a),Cidadão dos EUA,Não,Branco,24/09/2012,06/04/2017,Outra posição,Demissão Voluntária,Produção,Michael Albert,22.0,Aplicação Online,Atende Plenamente,5.0,5,0,02/03/2017,0,1 +"Bates, Norman",10061,0,0,1,4,5,3,0,57834,1,19,Técnico de Produção I,MA,2050,18/10/1981,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,21/02/2011,04/08/2017,Frequência,Demissão por Justa Causa,Produção,Kelley Spirea,18.0,Pesquisa no Google,Atende Plenamente,5.0,4,0,05/04/2017,0,20 +"Beak, Kimberly ",10023,1,1,0,2,5,4,0,70131,0,20,Técnico de Produção II,MA,2145,17/04/2066,F,Casado(a),Cidadão dos EUA,Não,Branco,21/07/2016,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,Indicação de Funcionário,Supera,4.4,3,0,14/01/2019,0,16 +"Beatrice, Courtney ",10055,0,0,0,1,5,3,0,59026,0,19,Técnico de Produção I,MA,1915,27/10/1970,F,Solteiro(a),Elegível não cidadão,Não,Branco,04/04/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Pesquisa no Google,Atende Plenamente,5.0,5,0,14/01/2019,0,12 +"Becker, Renee",10245,0,0,0,4,3,3,0,110000,1,8,Administrador de Banco de Dados,MA,2026,04/04/1986,F,Solteiro(a),Cidadão dos EUA,Sim,Branco,07/07/2014,12/09/2015,Desempenho,Demissão por Justa Causa,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Pesquisa no Google,Atende Plenamente,4.5,4,5,15/01/2015,0,8 +"Becker, Scott",10277,0,0,1,3,5,3,0,53250,0,19,Técnico de Produção I,MA,2452,06/04/1979,M ,Solteiro(a),Cidadão dos EUA,Não,Asiático,08/07/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Webster Butler,,LinkedIn,Atende Plenamente,4.2,4,0,11/01/2019,0,13 +"Bernstein, Sean",10046,0,0,1,1,5,3,0,51044,0,19,Técnico de Produção I,MA,2072,22/12/1970,M ,Solteiro(a),Cidadão dos EUA,Sim,Branco,02/04/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Amy Dunn,11.0,Pesquisa no Google,Atende Plenamente,5.0,3,0,14/01/2019,0,13 +"Biden, Lowan M",10226,0,2,0,1,5,3,0,64919,0,19,Técnico de Produção I,MA,2027,27/12/2058,F,Divorciado(a),Cidadão dos EUA,Não,Asiático,19/08/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Indeed,Atende Plenamente,4.2,3,0,10/01/2019,0,2 +"Billis, Helen",10003,1,1,0,1,5,4,0,62910,0,19,Técnico de Produção I,MA,2031,01/09/1989,F,Casado(a),Cidadão dos EUA,Não,Branco,07/07/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Indeed,Supera,5.0,3,0,27/02/2019,0,19 +"Blount, Dianna",10294,0,0,0,1,5,2,0,66441,0,20,Técnico de Produção II,MA,2171,21/09/1990,F,Solteiro(a),Cidadão dos EUA,Não,Branco,04/04/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,CareerBuilder,Necessita de Melhoria,2.0,3,0,27/02/2019,2,3 +"Bondwell, Betsy",10267,0,0,0,5,5,3,0,57815,1,20,Técnico de Produção II,MA,2210,16/01/2067,F,Solteiro(a),Cidadão dos EUA,Não,Branco,10/01/2011,04/04/2014,Mudança de carreira,Demissão Voluntária,Produção,Elijiah Gray,16.0,Pesquisa no Google,Atende Plenamente,4.8,5,0,04/03/2014,0,5 +"Booth, Frank",10199,0,0,1,4,3,3,0,103613,1,30,Arquiteto Corporativo,CT,6033,30/07/2064,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,17/02/2014,19/02/2016,Descobriu que ele é um gângster,Demissão por Justa Causa,Tecnologia da Informação/Sistemas,Simon Roup,4.0,LinkedIn,Atende Plenamente,3.5,5,7,10/01/2016,0,2 +"Boutwell, Bonalyn",10081,1,1,0,1,1,3,1,106367,0,26,Contador Sênior,MA,2468,04/04/1987,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,16/02/2015,,Não se aplica - Ainda empregado,Ativo,Escritórios Administrativos,Brandon R. LeBlanc,3.0,Feira de Empregos para Diversidade,Atende Plenamente,5.0,4,3,18/02/2019,0,4 +"Bozzi, Charles",10175,0,0,1,5,5,3,0,74312,1,18,Gerente de Produção,MA,1901,10/03/1970,M ,Solteiro(a),Cidadão dos EUA,Não,Asiático,30/09/2013,07/08/2014,Aposentadoria,Demissão Voluntária,Produção,Janet King,2.0,Indeed,Atende Plenamente,3.39,3,0,20/02/2014,0,14 +"Brill, Donna",10177,1,1,0,5,5,3,0,53492,1,19,Técnico de Produção I,MA,1701,24/08/1990,F,Casado(a),Cidadão dos EUA,Não,Branco,02/04/2012,15/06/2013,Outra posição,Demissão Voluntária,Produção,David Stanley,14.0,Pesquisa no Google,Atende Plenamente,3.35,4,0,04/03/2013,0,6 +"Brown, Mia",10238,1,1,0,1,1,3,1,63000,0,1,Contador I,MA,1450,24/11/1987,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,27/10/2008,,Não se aplica - Ainda empregado,Ativo,Escritórios Administrativos,Brandon R. LeBlanc,1.0,Feira de Empregos para Diversidade,Atende Plenamente,4.5,2,6,15/01/2019,0,14 +"Buccheri, Joseph ",10184,0,0,1,1,5,3,0,65288,0,20,Técnico de Produção II,MA,1013,28/07/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Webster Butler,,Pesquisa no Google,Atende Plenamente,3.19,3,0,01/02/2019,0,9 +"Bugali, Josephine ",10203,0,3,0,3,5,3,1,64375,0,19,Técnico de Produção I,MA,2043,30/10/1969,F,Separado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,11/11/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,Feira de Empregos para Diversidade,Atende Plenamente,3.5,5,0,21/01/2019,0,17 +"Bunbury, Jessica",10188,1,1,0,5,6,3,0,74326,1,3,Gerente de Vendas de Área,VA,21851,01/06/2064,F,Casado(a),Elegível não cidadão,Não,Negro ou Afro-americano,15/08/2011,02/08/2014,Outra posição,Demissão Voluntária,Vendas,John Smith,17.0,Pesquisa no Google,Atende Plenamente,3.14,5,0,10/02/2013,1,19 +"Burke, Joelle",10107,0,0,0,1,5,3,0,63763,0,20,Técnico de Produção II,MA,2148,02/03/1980,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,05/03/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Amy Dunn,11.0,Indicação de Funcionário,Atende Plenamente,4.51,4,0,21/02/2019,0,3 +"Burkett, Benjamin ",10181,1,1,1,1,5,3,0,62162,0,20,Técnico de Produção II,MA,1890,19/08/1977,M ,Casado(a),Cidadão dos EUA,Não,Branco,04/04/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Indeed,Atende Plenamente,3.25,5,0,14/01/2019,0,15 +"Cady, Max ",10150,0,0,1,1,4,3,0,77692,0,25,Gerente de Engenharia de Software,MA,2184,22/11/2066,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,15/08/2011,,Não se aplica - Ainda empregado,Ativo,Engenharia de Software,Jennifer Zamora,5.0,Pesquisa no Google,Atende Plenamente,3.84,3,5,21/01/2019,0,4 +"Candie, Calvin",10001,0,0,1,1,5,4,0,72640,0,18,Gerente de Produção,MA,2169,09/08/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,28/01/2016,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,Indeed,Supera,5.0,3,0,22/02/2019,0,14 +"Carabbio, Judith",10085,0,0,0,1,4,3,0,93396,0,24,Engenheiro de Software,MA,2132,05/04/1987,F,Solteiro(a),Cidadão dos EUA,Não,Branco,11/11/2013,,Não se aplica - Ainda empregado,Ativo,Engenharia de Software,Alex Sweetwater,10.0,Indeed,Atende Plenamente,4.96,4,6,30/01/2019,0,3 +"Carey, Michael ",10115,0,0,1,1,5,3,0,52846,0,19,Técnico de Produção I,MA,1701,02/02/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,31/03/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,LinkedIn,Atende Plenamente,4.43,3,0,01/02/2019,0,14 +"Carr, Claudia N",10082,0,0,0,2,3,3,0,100031,0,27,DBA Sênior,MA,1886,06/06/1986,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,30/06/2016,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Simon Roup,4.0,LinkedIn,Atende Plenamente,5.0,5,6,18/02/2019,0,7 +"Carter, Michelle ",10040,0,0,0,1,6,3,0,71860,0,3,Gerente de Vendas de Área,VT,5664,15/05/2063,F,Solteiro(a),Cidadão dos EUA,Não,Branco,18/08/2014,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Indeed,Atende Plenamente,5.0,5,0,21/01/2019,0,7 +"Chace, Beatrice ",10067,0,0,0,1,5,3,0,61656,0,19,Técnico de Produção I,MA,2763,02/01/2051,F,Solteiro(a),Cidadão dos EUA,Não,Branco,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,Pesquisa no Google,Atende Plenamente,5.0,4,0,12/02/2019,0,11 +"Champaigne, Brian",10108,1,1,1,1,3,3,0,110929,0,5,Diretor de Business Intelligence,MA,2045,09/02/1972,M ,Casado(a),Cidadão dos EUA,Não,Branco,06/09/2016,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Jennifer Zamora,5.0,Indeed,Atende Plenamente,4.5,5,7,15/01/2019,0,8 +"Chan, Lin",10210,0,0,0,1,5,3,0,54237,0,19,Técnico de Produção I,MA,2170,12/02/1979,F,Solteiro(a),Cidadão dos EUA,Não,Branco,12/05/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Indeed,Atende Plenamente,3.3,4,0,19/02/2019,0,11 +"Chang, Donovan E",10154,0,0,1,1,5,3,0,60380,0,19,Técnico de Produção I,MA,1845,24/08/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,08/07/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Webster Butler,,LinkedIn,Atende Plenamente,3.8,5,0,14/01/2019,0,4 +"Chigurh, Anton",10200,0,0,1,1,6,3,0,66808,0,3,Gerente de Vendas de Área,TX,78207,11/06/1970,M ,Solteiro(a),Elegível não cidadão,Não,Negro ou Afro-americano,14/05/2012,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Indicação de Funcionário,Atende Plenamente,3.0,5,0,19/01/2019,0,17 +"Chivukula, Enola",10240,0,0,0,5,5,3,0,64786,1,19,Técnico de Produção I,MA,1775,27/08/1983,F,Solteiro(a),Cidadão dos EUA,Não,Branco,27/06/2011,15/11/2015,Mudança de área,Demissão Voluntária,Produção,Amy Dunn,11.0,Indeed,Atende Plenamente,4.3,4,0,10/03/2015,0,3 +"Cierpiszewski, Caroline ",10168,0,0,0,1,5,3,0,64816,0,19,Técnico de Produção I,MA,2044,31/05/1988,F,Solteiro(a),Não cidadão,Não,Negro ou Afro-americano,03/10/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Indeed,Atende Plenamente,3.58,5,0,30/01/2019,0,3 +"Clayton, Rick",10220,0,0,1,1,3,3,0,68678,0,14,Suporte de TI,MA,2170,05/09/1985,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,05/09/2012,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Eric Dougall,6.0,Indeed,Atende Plenamente,4.7,3,6,27/02/2019,0,2 +"Cloninger, Jennifer",10275,1,1,0,5,5,3,0,64066,1,20,Técnico de Produção II,MA,1752,31/08/1981,F,Casado(a),Cidadão dos EUA,Não,Branco,16/05/2011,07/01/2013,Insatisfação,Demissão Voluntária,Produção,Brannon Miller,12.0,Pesquisa no Google,Atende Plenamente,4.2,5,0,03/05/2012,0,9 +"Close, Phil",10269,1,1,1,5,5,3,0,59369,1,20,Técnico de Produção II,MA,2169,25/11/1978,M ,Casado(a),Cidadão dos EUA,Não,Branco,30/08/2010,26/09/2011,Mudança de carreira,Demissão Voluntária,Produção,David Stanley,14.0,Indeed,Atende Plenamente,4.2,4,0,04/05/2011,0,6 +"Clukey, Elijian",10029,1,1,1,2,5,4,0,50373,0,19,Técnico de Produção I,MA,2134,26/08/1980,M ,Casado(a),Cidadão dos EUA,Não,Branco,06/07/2016,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Indicação de Funcionário,Supera,4.1,4,0,28/02/2019,0,5 +"Cockel, James",10261,0,0,1,1,5,3,0,63108,0,19,Técnico de Produção I,MA,2452,08/09/1977,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,08/07/2013,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,Indicação de Funcionário,Atende Plenamente,4.4,5,0,14/01/2019,0,3 +"Cole, Spencer",10292,0,0,1,4,5,2,0,59144,1,19,Técnico de Produção I,MA,1880,12/08/1979,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,11/07/2011,23/09/2016,Desempenho,Demissão por Justa Causa,Produção,Kissy Sullivan,20.0,LinkedIn,Necessita de Melhoria,2.0,3,0,01/05/2016,5,16 +"Corleone, Michael",10282,0,2,1,1,5,2,0,68051,0,18,Gerente de Produção,MA,1803,17/12/1975,M ,Divorciado(a),Cidadão dos EUA,Não,Branco,20/07/2010,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,CareerBuilder,Necessita de Melhoria,4.13,2,0,14/01/2019,3,3 +"Corleone, Vito",10019,0,0,1,1,5,4,0,170500,0,10,Diretor de Operações,MA,2030,19/03/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,05/01/2009,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,Indeed,Supera,3.7,5,0,04/02/2019,0,15 +"Cornett, Lisa ",10094,1,1,0,1,5,3,0,63381,0,19,Técnico de Produção I,MA,2189,31/03/1977,F,Casado(a),Cidadão dos EUA,Sim,Branco,05/01/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,Indeed,Atende Plenamente,4.73,5,0,14/02/2019,0,6 +"Costello, Frank",10193,1,1,1,1,3,3,0,83552,0,9,Analista de Dados,MA,1810,26/08/1986,M ,Casado(a),Cidadão dos EUA,Não,Branco,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indeed,Atende Plenamente,3.04,3,6,22/01/2019,0,2 +"Crimmings, Jean",10132,0,0,0,2,5,3,0,56149,0,19,Técnico de Produção I,MA,1821,10/04/1987,F,Solteiro(a),Cidadão dos EUA,Não,Branco,06/07/2016,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,LinkedIn,Atende Plenamente,4.12,5,0,28/01/2019,0,15 +"Cross, Noah",10083,0,0,1,1,3,3,0,92329,0,28,Engenheiro de Rede Sênior,CT,6278,09/09/2065,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,10/11/2014,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,Indicação de Funcionário,Atende Plenamente,5.0,3,4,02/01/2019,0,5 +"Daneault, Lynn",10099,0,0,0,1,6,3,0,65729,0,21,Gerente de Vendas,VT,5473,19/04/1990,F,Solteiro(a),Cidadão dos EUA,Não,Branco,05/05/2014,,Não se aplica - Ainda empregado,Ativo,Vendas,Debra Houlihan,15.0,Indeed,Atende Plenamente,4.62,4,0,24/01/2019,0,8 +"Daniele, Ann ",10212,1,1,0,3,3,3,0,85028,0,28,Engenheiro de Rede Sênior,CT,6033,18/01/2052,F,Casado(a),Cidadão dos EUA,Não,Branco,10/11/2014,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,LinkedIn,Atende Plenamente,3.1,5,8,12/02/2019,0,19 +"Darson, Jene'ya ",10056,1,1,0,1,5,3,0,57583,0,19,Técnico de Produção I,MA,2110,05/11/1978,F,Casado(a),Cidadão dos EUA,Não,Branco,02/07/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Indeed,Atende Plenamente,5.0,3,0,25/02/2019,0,1 +"Davis, Daniel",10143,0,0,1,1,5,3,0,56294,0,20,Técnico de Produção II,MA,2458,14/09/1979,M ,Solteiro(a),Elegível não cidadão,Não,Duas ou mais raças,07/11/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,LinkedIn,Atende Plenamente,3.96,4,0,27/02/2019,0,6 +"Dee, Randy",10311,1,1,1,1,6,1,0,56991,0,19,Técnico de Produção I,MA,2138,15/04/1988,M ,Casado(a),Cidadão dos EUA,Não,Branco,09/07/2018,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Indeed,Atende Plenamente,4.3,4,3,31/01/2019,2,2 +"DeGweck, James",10070,1,1,1,5,5,3,0,55722,1,19,Técnico de Produção I,MA,1810,31/10/1977,M ,Casado(a),Cidadão dos EUA,Não,Branco,16/05/2011,08/06/2016,Insatisfação,Demissão Voluntária,Produção,Webster Butler,39.0,Indeed,Atende Plenamente,5.0,4,0,02/04/2016,0,14 +"Del Bosque, Keyla",10155,0,0,0,1,4,3,0,101199,0,24,Engenheiro de Software,MA,2176,05/07/1979,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,09/01/2012,,Não se aplica - Ainda empregado,Ativo,Engenharia de Software,Alex Sweetwater,10.0,CareerBuilder,Atende Plenamente,3.79,5,5,25/01/2019,0,8 +"Delarge, Alex",10306,0,0,1,1,6,1,0,61568,0,3,Gerente de Vendas de Área,AL,36006,02/11/1975,M ,Solteiro(a),Cidadão dos EUA,Não,Duas ou mais raças,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Indeed,Plano de Melhoria de Desempenho,1.93,3,0,30/01/2019,6,5 +"Demita, Carla",10100,0,3,0,5,5,3,0,58275,1,20,Técnico de Produção II,MA,2343,25/02/2051,F,Separado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,04/04/2011,04/11/2015,Mais dinheiro,Demissão Voluntária,Produção,Kelley Spirea,18.0,Pesquisa no Google,Atende Plenamente,4.62,5,0,06/05/2015,0,1 +"Desimone, Carl ",10310,1,1,1,1,5,1,0,53189,0,19,Técnico de Produção I,MA,2061,19/04/2067,M ,Casado(a),Cidadão dos EUA,Não,Branco,07/07/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Amy Dunn,11.0,Indeed,Plano de Melhoria de Desempenho,1.12,2,0,31/01/2019,4,9 +"DeVito, Tommy",10197,0,0,1,1,3,3,0,96820,0,4,Desenvolvedor de Business Intelligence,MA,2045,04/09/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,15/02/2017,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Brian Champaigne,13.0,Indeed,Atende Plenamente,3.01,5,7,23/01/2019,0,15 +"Dickinson, Geoff ",10276,0,0,1,1,5,3,0,51259,0,19,Técnico de Produção I,MA,2180,15/11/1982,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,12/05/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Indeed,Atende Plenamente,4.3,4,0,19/02/2019,0,1 +"Dietrich, Jenna ",10304,0,0,0,1,6,1,0,59231,0,3,Gerente de Vendas de Área,WA,98052,14/05/1987,F,Solteiro(a),Cidadão dos EUA,Sim,Branco,20/02/2012,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Website,Plano de Melhoria de Desempenho,2.3,1,0,29/01/2019,2,17 +"DiNocco, Lily ",10284,1,1,0,1,5,2,0,61584,0,19,Técnico de Produção I,MA,2351,02/12/1978,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,07/01/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Indeed,Necessita de Melhoria,3.88,4,0,18/01/2019,0,6 +"Dobrin, Denisa S",10207,0,0,0,1,5,3,0,46335,0,19,Técnico de Produção I,MA,2125,07/10/1986,F,Solteiro(a),Cidadão dos EUA,Sim,Branco,02/04/2012,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,CareerBuilder,Atende Plenamente,3.4,5,0,19/02/2019,0,15 +"Dolan, Linda",10133,1,1,0,1,3,3,0,70621,0,14,Suporte de TI,MA,2119,18/07/1988,F,Casado(a),Cidadão dos EUA,Não,Branco,05/01/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,Indicação de Funcionário,Atende Plenamente,4.11,4,6,25/02/2019,0,16 +"Dougall, Eric",10028,0,0,1,1,3,4,0,138888,0,13,Gerente de TI - Suporte,MA,1886,09/07/1970,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,05/01/2014,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Jennifer Zamora,5.0,Indeed,Supera,4.3,5,5,04/01/2019,0,4 +"Driver, Elle",10006,0,0,0,1,6,4,0,74241,0,3,Gerente de Vendas de Área,CA,90007,08/11/1988,F,Solteiro(a),Cidadão dos EUA,Não,Branco,10/01/2011,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Indeed,Supera,4.77,5,0,27/01/2019,0,14 +"Dunn, Amy ",10105,0,0,0,1,5,3,0,75188,0,18,Gerente de Produção,MA,1731,28/11/1973,F,Solteiro(a),Cidadão dos EUA,Não,Branco,18/09/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,Pesquisa no Google,Atende Plenamente,4.52,4,0,15/01/2019,0,4 +"Dunne, Amy",10211,1,1,0,1,5,3,0,62514,0,19,Técnico de Produção I,MA,1749,23/09/1973,F,Casado(a),Cidadão dos EUA,Não,Branco,26/04/2010,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Pesquisa no Google,Atende Plenamente,2.9,3,0,21/01/2019,0,6 +"Eaton, Marianne",10064,1,1,0,5,5,3,0,60070,1,19,Técnico de Produção I,MA,2343,05/09/1991,F,Casado(a),Cidadão dos EUA,Não,Branco,04/04/2011,06/06/2017,Serviço militar,Demissão Voluntária,Produção,Kissy Sullivan,20.0,Pesquisa no Google,Atende Plenamente,5.0,3,0,09/04/2017,0,7 +"Engdahl, Jean",10247,0,0,1,1,5,3,0,48888,0,19,Técnico de Produção I,MA,2026,31/05/1974,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,10/11/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,LinkedIn,Atende Plenamente,4.7,5,0,13/02/2019,0,8 +"England, Rex",10235,1,1,1,1,5,3,0,54285,0,19,Técnico de Produção I,MA,2045,25/08/1978,M ,Casado(a),Cidadão dos EUA,Não,Branco,31/03/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,Indicação de Funcionário,Atende Plenamente,4.2,3,0,11/01/2019,0,3 +"Erilus, Angela",10299,0,3,0,1,5,1,0,56847,0,20,Técnico de Produção II,MA,2133,25/08/1989,F,Separado(a),Cidadão dos EUA,Não,Branco,07/07/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,Indeed,Plano de Melhoria de Desempenho,3.0,1,0,25/02/2019,2,5 +"Estremera, Miguel",10280,0,0,1,4,5,2,0,60340,1,19,Técnico de Produção I,MA,2129,02/09/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,02/04/2012,27/09/2018,Frequência,Demissão por Justa Causa,Produção,Michael Albert,22.0,Pesquisa no Google,Necessita de Melhoria,5.0,4,0,12/04/2018,5,16 +"Evensen, April",10296,0,0,0,4,5,2,0,59124,1,19,Técnico de Produção I,MA,2458,06/05/1989,F,Solteiro(a),Cidadão dos EUA,Não,Branco,17/02/2014,25/02/2018,"Sem ligação, sem comparecimento",Demissão por Justa Causa,Produção,Elijiah Gray,16.0,Pesquisa no Google,Necessita de Melhoria,2.3,3,0,15/01/2017,5,19 +"Exantus, Susan",10290,1,1,0,4,4,2,0,99280,1,24,Engenheiro de Software,MA,1749,15/05/1987,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,02/05/2011,05/06/2013,Frequência,Demissão por Justa Causa,Engenharia de Software,Alex Sweetwater,10.0,Indeed,Necessita de Melhoria,2.1,5,4,10/08/2012,4,19 +"Faller, Megan ",10263,1,1,0,1,5,3,0,71776,0,20,Técnico de Produção II,MA,1824,22/09/1978,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,07/07/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,LinkedIn,Atende Plenamente,4.4,5,0,22/02/2019,0,17 +"Fancett, Nicole",10136,0,0,0,1,5,3,0,65902,0,20,Técnico de Produção II,MA,2324,27/09/1987,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,17/02/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Webster Butler,,LinkedIn,Atende Plenamente,4.0,4,0,07/01/2019,0,7 +"Ferguson, Susan",10189,1,1,0,5,5,3,0,57748,1,19,Técnico de Produção I,MA,2176,14/04/2055,F,Casado(a),Cidadão dos EUA,Não,Branco,07/11/2011,17/05/2016,Serviço militar,Demissão Voluntária,Produção,Webster Butler,39.0,Pesquisa no Google,Atende Plenamente,3.13,3,0,04/02/2016,0,16 +"Fernandes, Nilson ",10308,1,1,1,1,5,1,0,64057,0,19,Técnico de Produção I,MA,2132,18/10/1989,M ,Casado(a),Cidadão dos EUA,Não,Branco,11/05/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Amy Dunn,11.0,Indeed,Plano de Melhoria de Desempenho,1.56,5,0,03/01/2019,6,15 +"Fett, Boba",10309,0,0,1,1,3,1,0,53366,0,15,Engenheiro de Rede,MA,2138,18/06/1987,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,LinkedIn,Plano de Melhoria de Desempenho,1.2,3,6,04/02/2019,3,2 +"Fidelia, Libby",10049,1,1,0,1,5,3,0,58530,0,19,Técnico de Produção I,MA,2155,16/03/1981,F,Casado(a),Cidadão dos EUA,Não,Branco,09/01/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Pesquisa no Google,Atende Plenamente,5.0,5,0,29/01/2019,0,19 +"Fitzpatrick, Michael J",10093,0,0,1,5,5,3,0,72609,1,20,Técnico de Produção II,MA,2143,01/10/1981,M ,Solteiro(a),Cidadão dos EUA,Sim,Branco,16/05/2011,24/06/2013,Horas de trabalho,Demissão Voluntária,Produção,Amy Dunn,11.0,Pesquisa no Google,Atende Plenamente,4.76,5,0,05/04/2013,0,20 +"Foreman, Tanya",10163,1,1,0,5,5,3,0,55965,1,20,Técnico de Produção II,MA,2170,08/11/1983,F,Casado(a),Cidadão dos EUA,Não,Branco,04/04/2011,09/01/2013,Mudança de carreira,Demissão Voluntária,Produção,Ketsia Liebig,19.0,Pesquisa no Google,Atende Plenamente,3.66,3,0,07/01/2012,0,6 +"Forrest, Alex",10305,1,1,1,1,6,3,0,70187,1,3,Gerente de Vendas de Área,MA,2330,07/07/1975,M ,Casado(a),Cidadão dos EUA,Não,Branco,29/09/2014,19/08/2018,Atração fatal,Demissão por Justa Causa,Vendas,Lynn Daneault,21.0,Indicação de Funcionário,Plano de Melhoria de Desempenho,2.0,5,0,28/01/2019,4,7 +"Foss, Jason",10015,0,0,1,1,3,4,0,178000,0,12,Diretor de TI,MA,1460,05/07/1980,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,15/04/2011,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Jennifer Zamora,5.0,Indeed,Supera,5.0,5,5,07/01/2019,0,15 +"Foster-Baker, Amy",10080,1,1,0,1,1,3,0,99351,0,26,Contador Sênior,MA,2050,16/04/1979,F,Casado(a),Cidadão dos EUA,Não,Branco,05/01/2009,,Não se aplica - Ainda empregado,Ativo,Escritórios Administrativos,Board of Directors,9.0,Outro,Atende Plenamente,5.0,3,2,08/02/2019,0,3 +"Fraval, Maruk ",10258,0,0,1,1,6,3,0,67251,0,3,Gerente de Vendas de Área,CT,6050,28/08/2063,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,06/09/2011,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,CareerBuilder,Atende Plenamente,4.3,3,0,27/01/2019,2,7 +"Galia, Lisa",10273,0,0,0,1,3,3,0,65707,0,14,Suporte de TI,CT,6040,06/07/2068,F,Solteiro(a),Cidadão dos EUA,Não,Branco,01/05/2010,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Eric Dougall,6.0,LinkedIn,Atende Plenamente,4.7,4,5,01/02/2019,0,1 +"Garcia, Raul",10111,0,0,1,1,5,3,0,52249,0,19,Técnico de Produção I,MA,1905,15/09/1985,M ,Solteiro(a),Cidadão dos EUA,Sim,Branco,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,Indicação de Funcionário,Atende Plenamente,4.5,3,0,18/02/2019,0,5 +"Gaul, Barbara",10257,0,0,0,1,5,3,0,53171,0,19,Técnico de Produção I,MA,2121,02/12/1983,F,Solteiro(a),Cidadão dos EUA,Sim,Negro ou Afro-americano,16/05/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,LinkedIn,Atende Plenamente,4.2,4,0,26/02/2019,0,12 +"Gentry, Mildred",10159,1,1,0,1,5,3,0,51337,0,19,Técnico de Produção I,MA,2145,01/10/1990,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,LinkedIn,Atende Plenamente,3.73,3,0,16/01/2019,0,19 +"Gerke, Melisa",10122,0,2,0,5,5,3,1,51505,1,19,Técnico de Produção I,MA,2330,15/05/1970,F,Divorciado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,07/11/2011,15/11/2016,Horas de trabalho,Demissão Voluntária,Produção,Elijiah Gray,16.0,Feira de Empregos para Diversidade,Atende Plenamente,4.24,4,0,29/04/2016,0,2 +"Gill, Whitney ",10142,0,4,0,4,6,3,0,59370,1,3,Gerente de Vendas de Área,OH,43050,10/07/1971,F,Viúvo(a),Cidadão dos EUA,Não,Negro ou Afro-americano,07/07/2014,05/09/2015,Frequência,Demissão por Justa Causa,Vendas,John Smith,17.0,CareerBuilder,Atende Plenamente,3.97,4,0,15/01/2014,0,7 +"Gilles, Alex",10283,1,1,1,5,5,2,1,54933,1,19,Técnico de Produção I,MA,2062,09/08/1974,M ,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,02/04/2012,25/06/2015,Serviço militar,Demissão Voluntária,Produção,Webster Butler,39.0,Feira de Empregos para Diversidade,Necessita de Melhoria,3.97,4,0,20/01/2015,3,15 +"Girifalco, Evelyn",10018,0,0,0,1,5,4,0,57815,0,19,Técnico de Produção I,MA,2451,08/05/1980,F,Solteiro(a),Cidadão dos EUA,Sim,Duas ou mais raças,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Amy Dunn,11.0,Indeed,Supera,3.9,4,0,07/02/2019,0,3 +"Givens, Myriam",10255,0,0,0,1,6,3,0,61555,0,3,Gerente de Vendas de Área,IN,46204,22/09/1989,F,Solteiro(a),Cidadão dos EUA,Não,Branco,16/02/2015,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Indeed,Atende Plenamente,4.5,5,0,25/01/2019,0,20 +"Goble, Taisha",10246,0,0,0,4,3,3,0,114800,1,8,Administrador de Banco de Dados,MA,2127,23/10/1971,F,Solteiro(a),Cidadão dos EUA,Não,Branco,16/02/2015,15/03/2015,"Sem ligação, sem comparecimento",Demissão por Justa Causa,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indeed,Atende Plenamente,4.6,4,4,20/01/2015,0,10 +"Goeth, Amon",10228,1,1,1,1,3,3,0,74679,0,14,Suporte de TI,MA,2135,24/11/1989,M ,Casado(a),Cidadão dos EUA,Sim,Branco,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,LinkedIn,Atende Plenamente,4.3,5,7,10/01/2019,0,20 +"Gold, Shenice ",10243,0,0,0,1,5,3,0,53018,0,19,Técnico de Produção I,MA,2451,18/06/1992,F,Solteiro(a),Cidadão dos EUA,Sim,Branco,11/11/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Indeed,Atende Plenamente,4.3,5,0,18/02/2019,0,7 +"Gonzalez, Cayo",10031,0,2,1,1,5,4,1,59892,0,19,Técnico de Produção I,MA,2108,29/09/1969,M ,Divorciado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,11/07/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Feira de Empregos para Diversidade,Supera,4.5,4,0,18/02/2019,0,1 +"Gonzalez, Juan",10300,1,1,1,5,5,1,1,68898,1,20,Técnico de Produção II,MA,2128,12/10/2064,M ,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,26/04/2010,30/05/2011,Mudança de carreira,Demissão Voluntária,Produção,Brannon Miller,12.0,Feira de Empregos para Diversidade,Plano de Melhoria de Desempenho,3.0,3,0,06/03/2011,3,10 +"Gonzalez, Maria",10101,0,3,0,1,3,3,0,61242,0,14,Suporte de TI,MA,2472,16/04/1981,F,Separado(a),Cidadão dos EUA,Sim,Branco,05/01/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,Indicação de Funcionário,Atende Plenamente,4.61,4,5,28/01/2019,0,11 +"Good, Susan",10237,1,1,0,3,5,3,0,66825,0,20,Técnico de Produção II,MA,1886,25/05/1986,F,Casado(a),Cidadão dos EUA,Não,Branco,12/05/2014,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,LinkedIn,Atende Plenamente,4.6,3,0,07/02/2019,0,20 +"Gordon, David",10051,1,1,1,1,5,3,0,48285,0,19,Técnico de Produção I,MA,2169,21/05/1979,M ,Casado(a),Cidadão dos EUA,Não,Branco,02/07/2012,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,LinkedIn,Atende Plenamente,5.0,3,0,14/01/2019,0,2 +"Gosciminski, Phylicia ",10218,0,3,0,3,5,3,0,66149,0,20,Técnico de Produção II,MA,1824,08/12/1983,F,Separado(a),Cidadão dos EUA,Não,Indígena Americano ou Nativo do Alasca,30/09/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,Pesquisa no Google,Atende Plenamente,4.4,5,0,21/02/2019,0,1 +"Goyal, Roxana",10256,1,1,0,3,5,3,0,49256,0,19,Técnico de Produção I,MA,1864,09/10/1974,F,Casado(a),Cidadão dos EUA,Não,Asiático,19/08/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,LinkedIn,Atende Plenamente,4.1,5,0,15/02/2019,0,3 +"Gray, Elijiah ",10098,0,2,1,1,5,3,0,62957,0,18,Gerente de Produção,MA,1752,11/07/1981,M ,Divorciado(a),Cidadão dos EUA,Não,Branco,02/06/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,Indicação de Funcionário,Atende Plenamente,4.63,3,0,04/01/2019,0,2 +"Gross, Paula",10059,0,2,0,5,5,3,0,63813,1,19,Técnico de Produção I,MA,2176,21/05/1983,F,Divorciado(a),Cidadão dos EUA,Não,Branco,21/02/2011,11/01/2014,Mais dinheiro,Demissão Voluntária,Produção,Kelley Spirea,18.0,CareerBuilder,Atende Plenamente,5.0,5,0,03/06/2013,0,17 +"Gruber, Hans",10234,1,1,1,1,3,3,0,99020,0,4,Desenvolvedor de Business Intelligence,MA,2134,30/06/1989,M ,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,20/04/2017,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Brian Champaigne,13.0,Indeed,Atende Plenamente,4.2,5,5,28/01/2019,0,8 +"Guilianno, Mike",10109,0,0,1,5,6,3,0,71707,1,3,Gerente de Vendas de Área,TN,37129,09/02/1969,M ,Solteiro(a),Cidadão dos EUA,Não,Duas ou mais raças,07/03/2012,31/10/2014,Mudança de área,Demissão Voluntária,Vendas,John Smith,17.0,LinkedIn,Atende Plenamente,4.5,5,0,01/02/2013,0,20 +"Handschiegl, Joanne",10125,1,1,0,1,5,3,0,54828,0,19,Técnico de Produção I,MA,2127,23/03/1977,F,Casado(a),Cidadão dos EUA,Não,Branco,28/11/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,Pesquisa no Google,Atende Plenamente,4.2,4,0,22/02/2019,0,13 +"Hankard, Earnest",10074,0,0,1,1,5,3,0,64246,0,20,Técnico de Produção II,MA,2155,10/08/1988,M ,Solteiro(a),Cidadão dos EUA,Sim,Branco,11/11/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,LinkedIn,Atende Plenamente,5.0,3,0,08/01/2019,0,20 +"Harrington, Christie ",10097,0,0,0,5,5,3,0,52177,1,19,Técnico de Produção I,MA,2324,18/08/2052,F,Solteiro(a),Cidadão dos EUA,Não,Branco,09/01/2012,15/12/2015,Aposentadoria,Demissão Voluntária,Produção,Webster Butler,39.0,CareerBuilder,Atende Plenamente,4.64,4,0,02/05/2015,0,8 +"Harrison, Kara",10007,1,1,0,1,5,4,0,62065,0,19,Técnico de Produção I,MA,1886,02/05/1974,F,Casado(a),Cidadão dos EUA,Não,Branco,12/05/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Amy Dunn,11.0,CareerBuilder,Supera,4.76,4,0,15/02/2019,0,5 +"Heitzman, Anthony",10129,0,0,1,1,5,3,0,46998,0,19,Técnico de Produção I,MA,2149,04/01/1984,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,13/08/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Pesquisa no Google,Atende Plenamente,4.17,4,0,11/02/2019,0,1 +"Hendrickson, Trina",10075,0,0,0,5,5,3,0,68099,1,20,Técnico de Produção II,MA,2021,27/08/1972,F,Solteiro(a),Cidadão dos EUA,Não,Branco,10/01/2011,18/06/2013,Horas de trabalho,Demissão Voluntária,Produção,Kelley Spirea,18.0,CareerBuilder,Atende Plenamente,5.0,3,0,30/01/2013,0,15 +"Hitchcock, Alfred",10167,1,1,1,1,6,3,0,70545,0,3,Gerente de Vendas de Área,NH,3062,14/09/1988,M ,Casado(a),Cidadão dos EUA,Não,Indígena Americano ou Nativo do Alasca,18/08/2014,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Indeed,Atende Plenamente,3.6,5,0,30/01/2019,0,9 +"Homberger, Adrienne J",10195,1,1,0,5,5,3,0,63478,1,20,Técnico de Produção II,MA,2445,16/02/1984,F,Casado(a),Não cidadão,Não,Branco,15/08/2011,07/04/2012,Mudança de área,Demissão Voluntária,Produção,Michael Albert,30.0,Indeed,Atende Plenamente,3.03,5,0,05/03/2012,0,16 +"Horton, Jayne",10112,0,0,0,1,3,3,0,97999,0,8,Administrador de Banco de Dados,MA,2493,21/02/1984,F,Solteiro(a),Cidadão dos EUA,Não,Branco,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indeed,Atende Plenamente,4.48,5,6,03/01/2019,0,4 +"Houlihan, Debra",10272,1,1,0,1,6,3,0,180000,0,11,Diretor de Vendas,RI,2908,17/03/2066,F,Casado(a),Cidadão dos EUA,Não,Branco,05/05/2014,,Não se aplica - Ainda empregado,Ativo,Vendas,Janet King,2.0,LinkedIn,Atende Plenamente,4.5,4,0,21/01/2019,0,19 +"Howard, Estelle",10182,1,1,0,1,1,3,0,49920,1,2,Assistente Administrativo,MA,2170,16/09/1985,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,16/02/2015,15/04/2015,"Sem ligação, sem comparecimento",Demissão por Justa Causa,Escritórios Administrativos,Brandon R. LeBlanc,1.0,Indeed,Atende Plenamente,3.24,3,4,15/04/2015,0,6 +"Hudson, Jane",10248,0,0,0,1,5,3,0,55425,0,19,Técnico de Produção I,MA,2176,10/06/1986,F,Solteiro(a),Cidadão dos EUA,Não,Branco,20/02/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,LinkedIn,Atende Plenamente,4.8,4,0,07/01/2019,0,4 +"Hunts, Julissa",10201,0,0,0,2,5,3,0,69340,0,20,Técnico de Produção II,MA,2021,11/03/1984,F,Solteiro(a),Cidadão dos EUA,Não,Branco,06/06/2016,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,LinkedIn,Atende Plenamente,3.0,5,0,18/01/2019,0,4 +"Hutter, Rosalie",10214,0,3,0,2,5,3,0,64995,0,20,Técnico de Produção II,MA,2351,07/05/1992,F,Separado(a),Cidadão dos EUA,Não,Branco,05/06/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Webster Butler,,Indeed,Atende Plenamente,4.5,3,0,14/02/2019,0,6 +"Huynh, Ming",10160,0,2,0,5,5,3,0,68182,1,20,Técnico de Produção II,MA,1742,22/09/1976,F,Divorciado(a),Cidadão dos EUA,Não,Branco,21/02/2011,01/04/2013,Insatisfação,Demissão Voluntária,Produção,Amy Dunn,11.0,Pesquisa no Google,Atende Plenamente,3.72,3,0,01/02/2013,0,18 +"Immediato, Walter",10289,1,1,1,5,5,2,0,83082,1,18,Gerente de Produção,MA,2128,15/11/1976,M ,Casado(a),Cidadão dos EUA,Não,Asiático,21/02/2011,24/09/2012,Insatisfação,Demissão Voluntária,Produção,Janet King,2.0,Indeed,Necessita de Melhoria,2.34,2,0,12/04/2012,3,4 +"Ivey, Rose ",10139,0,0,0,1,5,3,0,51908,0,19,Técnico de Produção I,MA,1775,28/01/1991,F,Solteiro(a),Cidadão dos EUA,Não,Branco,19/08/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Indeed,Atende Plenamente,3.99,3,0,14/01/2019,0,14 +"Jackson, Maryellen",10227,0,0,0,1,5,3,0,61242,0,19,Técnico de Produção I,MA,2081,11/09/1972,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,05/11/2012,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,LinkedIn,Atende Plenamente,4.1,3,0,17/01/2019,0,7 +"Jacobi, Hannah ",10236,0,2,0,1,5,3,0,45069,0,19,Técnico de Produção I,MA,1778,22/03/2066,F,Divorciado(a),Cidadão dos EUA,Não,Branco,30/09/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,Indicação de Funcionário,Atende Plenamente,4.3,5,0,22/02/2019,0,7 +"Jeannite, Tayana",10009,0,2,0,1,5,4,0,60724,0,20,Técnico de Produção II,MA,1821,06/11/1986,F,Divorciado(a),Cidadão dos EUA,Não,Indígena Americano ou Nativo do Alasca,05/07/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,LinkedIn,Supera,4.6,4,0,25/02/2019,0,11 +"Jhaveri, Sneha ",10060,0,3,0,1,5,3,0,60436,0,19,Técnico de Produção I,MA,2109,13/04/2064,F,Separado(a),Cidadão dos EUA,Não,Branco,06/01/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,LinkedIn,Atende Plenamente,5.0,5,0,21/01/2019,0,9 +"Johnson, George",10034,1,1,1,5,5,4,0,46837,1,19,Técnico de Produção I,MA,2445,19/08/2059,M ,Casado(a),Cidadão dos EUA,Não,Branco,07/11/2011,29/04/2018,Mais dinheiro,Demissão Voluntária,Produção,Michael Albert,22.0,CareerBuilder,Supera,4.7,4,0,14/02/2018,0,9 +"Johnson, Noelle ",10156,1,1,0,3,3,3,0,105700,0,8,Administrador de Banco de Dados,MA,2301,07/11/1986,F,Casado(a),Cidadão dos EUA,Não,Asiático,05/01/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indeed,Atende Plenamente,3.75,3,5,11/02/2019,0,2 +"Johnston, Yen",10036,0,0,0,1,5,4,0,63322,0,20,Técnico de Produção II,MA,2128,08/09/1969,F,Solteiro(a),Cidadão dos EUA,Não,Branco,07/07/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,LinkedIn,Supera,4.3,3,0,11/01/2019,0,1 +"Jung, Judy ",10138,1,1,0,5,5,3,0,61154,1,19,Técnico de Produção I,MA,2446,17/04/1986,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,10/01/2011,01/04/2016,Insatisfação,Demissão Voluntária,Produção,Elijiah Gray,16.0,CareerBuilder,Atende Plenamente,4.0,4,0,03/02/2016,0,4 +"Kampew, Donysha",10244,0,0,0,5,6,3,0,68999,1,21,Gerente de Vendas,PA,19444,11/11/1989,F,Solteiro(a),Cidadão dos EUA,Não,Branco,07/11/2011,24/04/2014,Licença maternidade - não retornou,Demissão Voluntária,Vendas,Debra Houlihan,15.0,Pesquisa no Google,Atende Plenamente,4.5,5,0,30/03/2013,0,2 +"Keatts, Kramer ",10192,0,0,1,1,5,3,0,50482,0,19,Técnico de Produção I,MA,1887,19/01/1976,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,30/09/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,Indeed,Atende Plenamente,3.07,4,0,23/01/2019,0,10 +"Khemmich, Bartholemew",10231,0,0,1,1,6,3,0,65310,0,3,Gerente de Vendas de Área,CO,80820,27/11/1979,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,19/08/2013,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Indeed,Atende Plenamente,4.3,5,0,22/01/2019,0,13 +"King, Janet",10089,1,1,0,1,2,3,0,250000,0,16,Presidente e CEO,MA,1902,21/09/2054,F,Casado(a),Cidadão dos EUA,Sim,Branco,02/07/2012,,Não se aplica - Ainda empregado,Ativo,Escritório Executivo,Board of Directors,9.0,Indeed,Atende Plenamente,4.83,3,0,17/01/2019,0,10 +"Kinsella, Kathleen ",10166,1,1,0,5,5,3,0,54005,1,19,Técnico de Produção I,MA,2170,08/12/1973,F,Casado(a),Cidadão dos EUA,Não,Branco,26/09/2011,04/06/2015,Mais dinheiro,Demissão Voluntária,Produção,Webster Butler,39.0,Pesquisa no Google,Atende Plenamente,3.6,5,0,01/03/2015,0,16 +"Kirill, Alexandra ",10170,1,1,0,5,5,3,0,45433,1,19,Técnico de Produção I,MA,2127,08/10/1970,F,Casado(a),Cidadão dos EUA,Não,Branco,26/09/2011,09/01/2014,Mais dinheiro,Demissão Voluntária,Produção,Amy Dunn,11.0,Pesquisa no Google,Atende Plenamente,3.49,4,0,30/01/2013,0,6 +"Knapp, Bradley J",10208,0,0,1,1,5,3,0,46654,0,19,Técnico de Produção I,MA,1721,10/11/1977,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,17/02/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,LinkedIn,Atende Plenamente,3.1,3,0,06/02/2019,0,3 +"Kretschmer, John",10176,1,1,1,1,5,3,0,63973,0,19,Técnico de Produção I,MA,1801,02/02/1980,M ,Casado(a),Cidadão dos EUA,Não,Asiático,10/01/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Indeed,Atende Plenamente,3.38,3,0,21/01/2019,0,17 +"Kreuger, Freddy",10165,0,0,1,1,6,3,1,71339,0,3,Gerente de Vendas de Área,NY,10171,24/02/1969,M ,Solteiro(a),Cidadão dos EUA,Sim,Negro ou Afro-americano,07/03/2011,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Feira de Empregos para Diversidade,Atende Plenamente,3.65,5,0,17/01/2019,0,20 +"Lajiri, Jyoti",10113,1,1,1,3,3,3,0,93206,0,28,Engenheiro de Rede Sênior,MA,2169,23/04/1986,M ,Casado(a),Cidadão dos EUA,Não,Branco,10/11/2014,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,Indicação de Funcionário,Atende Plenamente,4.46,5,6,07/01/2019,0,7 +"Landa, Hans",10092,1,1,1,4,5,3,0,82758,1,18,Gerente de Produção,MA,1890,01/07/1972,M ,Casado(a),Cidadão dos EUA,Não,Branco,10/01/2011,12/12/2015,Frequência,Demissão por Justa Causa,Produção,Janet King,2.0,Indicação de Funcionário,Atende Plenamente,4.78,4,0,15/02/2015,0,9 +"Langford, Lindsey",10106,0,2,0,5,5,3,0,66074,1,20,Técnico de Produção II,MA,2090,25/07/1979,F,Divorciado(a),Cidadão dos EUA,Não,Asiático,07/01/2013,31/03/2014,Outra posição,Demissão Voluntária,Produção,David Stanley,14.0,Indeed,Atende Plenamente,4.52,3,0,20/02/2014,0,20 +"Langton, Enrico",10052,1,1,1,1,5,3,0,46120,0,19,Técnico de Produção I,MA,2048,09/12/1986,M ,Casado(a),Cidadão dos EUA,Não,Branco,09/07/2012,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,LinkedIn,Atende Plenamente,5.0,5,0,04/02/2019,0,13 +"LaRotonda, William ",10038,0,2,1,1,1,3,0,64520,0,1,Contador I,MA,1460,26/04/1984,M ,Divorciado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,06/01/2014,,Não se aplica - Ainda empregado,Ativo,Escritórios Administrativos,Brandon R. LeBlanc,1.0,Website,Atende Plenamente,5.0,4,4,17/01/2019,0,3 +"Latif, Mohammed",10249,1,1,1,5,5,3,0,61962,1,20,Técnico de Produção II,MA,2126,09/05/1984,M ,Casado(a),Cidadão dos EUA,Não,Branco,02/04/2012,15/04/2013,Mais dinheiro,Demissão Voluntária,Produção,Kissy Sullivan,20.0,Pesquisa no Google,Atende Plenamente,4.9,3,0,20/02/2013,0,20 +"Le, Binh",10232,0,0,0,1,3,3,0,81584,0,22,Desenvolvedor Sênior de Business Intelligence,MA,1886,14/06/1987,F,Solteiro(a),Cidadão dos EUA,Não,Asiático,02/10/2016,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Brian Champaigne,13.0,Indeed,Atende Plenamente,4.1,5,7,08/01/2019,0,2 +"Leach, Dallas",10087,0,0,0,5,5,3,0,63676,1,19,Técnico de Produção I,MA,1810,17/01/1979,F,Solteiro(a),Cidadão dos EUA,Não,Asiático,26/09/2011,19/08/2018,Retorno à escola,Demissão Voluntária,Produção,Kissy Sullivan,20.0,CareerBuilder,Atende Plenamente,4.88,3,0,02/07/2017,0,17 +"LeBlanc, Brandon R",10134,1,1,1,1,1,3,0,93046,0,23,Gerente de Serviços Compartilhados,MA,1460,10/06/1984,M ,Casado(a),Cidadão dos EUA,Não,Branco,05/01/2016,,Não se aplica - Ainda empregado,Ativo,Escritórios Administrativos,Janet King,2.0,CareerBuilder,Atende Plenamente,4.1,4,0,28/01/2019,0,20 +"Lecter, Hannibal",10251,1,1,1,1,5,3,0,64738,0,19,Técnico de Produção I,MA,1776,02/09/1982,M ,Casado(a),Cidadão dos EUA,Não,Asiático,14/05/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Pesquisa no Google,Atende Plenamente,4.1,3,0,22/02/2019,0,10 +"Leruth, Giovanni",10103,0,3,1,1,6,3,0,70468,0,3,Gerente de Vendas de Área,UT,84111,27/12/1988,M ,Separado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,30/04/2012,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Website,Atende Plenamente,4.53,3,0,29/01/2019,0,16 +"Liebig, Ketsia",10017,1,1,0,1,5,4,0,77915,0,18,Gerente de Produção,MA,2110,26/10/1981,F,Casado(a),Cidadão dos EUA,Não,Branco,30/09/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,Website,Supera,4.1,3,0,21/01/2019,0,11 +"Linares, Marilyn ",10186,1,1,0,5,5,3,0,52624,1,19,Técnico de Produção I,MA,1886,26/03/1981,F,Casado(a),Cidadão dos EUA,Não,Branco,05/07/2011,26/09/2018,Insatisfação,Demissão Voluntária,Produção,Michael Albert,22.0,Indeed,Atende Plenamente,3.18,4,0,02/03/2018,0,16 +"Linden, Mathew",10137,1,1,1,3,5,3,0,63450,0,20,Técnico de Produção II,MA,1770,19/03/1979,M ,Casado(a),Cidadão dos EUA,Não,Branco,08/07/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,LinkedIn,Atende Plenamente,4.0,3,0,18/02/2019,0,7 +"Lindsay, Leonara ",10008,0,0,0,1,3,4,1,51777,0,14,Suporte de TI,CT,6070,05/10/1988,F,Solteiro(a),Cidadão dos EUA,Sim,Negro ou Afro-americano,21/01/2011,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Eric Dougall,6.0,Feira de Empregos para Diversidade,Supera,4.64,4,5,25/01/2019,0,14 +"Lundy, Susan",10096,0,4,0,5,5,3,0,67237,1,20,Técnico de Produção II,MA,2122,26/12/1976,F,Viúvo(a),Cidadão dos EUA,Não,Branco,08/07/2013,15/09/2016,Mais dinheiro,Demissão Voluntária,Produção,Michael Albert,22.0,LinkedIn,Atende Plenamente,4.65,4,0,10/06/2016,0,15 +"Lunquist, Lisa",10035,0,0,0,1,5,4,0,73330,0,20,Técnico de Produção II,MA,2324,28/03/1982,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,19/08/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Indeed,Supera,4.2,4,0,12/02/2019,0,19 +"Lydon, Allison",10057,1,1,0,3,5,3,0,52057,0,19,Técnico de Produção I,MA,2122,22/10/1975,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,16/02/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Website,Atende Plenamente,5.0,3,0,23/01/2019,0,6 +"Lynch, Lindsay",10004,0,0,0,5,5,4,1,47434,1,19,Técnico de Produção I,MA,1844,14/02/1973,F,Solteiro(a),Cidadão dos EUA,Sim,Negro ou Afro-americano,07/11/2011,14/11/2015,Outra posição,Demissão Voluntária,Produção,Webster Butler,39.0,Feira de Empregos para Diversidade,Supera,5.0,4,0,02/02/2015,0,17 +"MacLennan, Samuel",10191,0,4,1,5,5,3,0,52788,1,19,Técnico de Produção I,MA,1938,09/11/1972,M ,Viúvo(a),Cidadão dos EUA,Não,Branco,24/09/2012,26/09/2017,Horas de trabalho,Demissão Voluntária,Produção,Amy Dunn,11.0,Indeed,Atende Plenamente,3.08,4,0,01/04/2017,0,18 +"Mahoney, Lauren ",10219,0,0,0,1,5,3,0,45395,0,19,Técnico de Produção I,MA,2189,07/07/1986,F,Solteiro(a),Cidadão dos EUA,Não,Branco,06/01/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,LinkedIn,Atende Plenamente,4.6,4,0,26/02/2019,0,14 +"Manchester, Robyn",10077,1,1,0,2,5,3,0,62385,0,20,Técnico de Produção II,MA,2324,25/08/1976,F,Casado(a),Cidadão dos EUA,Não,Branco,11/05/2016,,Não se aplica - Ainda empregado,Ativo,Produção,Webster Butler,,LinkedIn,Atende Plenamente,5.0,3,0,21/01/2019,0,4 +"Mancuso, Karen",10073,1,1,0,5,5,3,0,68407,1,20,Técnico de Produção II,MA,2176,10/12/1986,F,Casado(a),Cidadão dos EUA,Não,Duas ou mais raças,05/07/2011,19/08/2012,Outra posição,Demissão Voluntária,Produção,Amy Dunn,11.0,LinkedIn,Atende Plenamente,5.0,4,0,02/07/2012,0,16 +"Mangal, Debbie",10279,1,1,0,1,5,3,0,61349,0,19,Técnico de Produção I,MA,2451,07/11/1974,F,Casado(a),Cidadão dos EUA,Não,Branco,11/11/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,LinkedIn,Atende Plenamente,4.1,3,0,22/01/2019,0,11 +"Martin, Sandra",10110,0,0,0,1,4,3,0,105688,0,24,Engenheiro de Software,MA,2135,07/11/1987,F,Solteiro(a),Cidadão dos EUA,Não,Asiático,11/11/2013,,Não se aplica - Ainda empregado,Ativo,Engenharia de Software,Alex Sweetwater,10.0,Pesquisa no Google,Atende Plenamente,4.5,5,4,14/01/2019,0,14 +"Maurice, Shana",10053,1,1,0,1,5,3,0,54132,0,19,Técnico de Produção I,MA,2330,22/11/1977,F,Casado(a),Cidadão dos EUA,Não,Branco,31/05/2011,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,Indeed,Atende Plenamente,5.0,4,0,10/01/2019,0,8 +"Carthy, B'rigit",10076,0,0,0,1,5,3,0,55315,0,20,Técnico de Produção II,MA,2149,21/05/1987,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,LinkedIn,Atende Plenamente,5.0,5,0,07/02/2019,0,16 +"Mckenna, Sandy",10145,1,1,0,1,5,3,0,62810,0,19,Técnico de Produção I,MA,2184,07/01/1987,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,07/01/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,CareerBuilder,Atende Plenamente,3.93,3,0,30/01/2019,0,20 +"McKinzie, Jac",10202,1,1,1,2,6,3,0,63291,0,3,Gerente de Vendas de Área,TX,78789,01/07/1984,M ,Casado(a),Cidadão dos EUA,Não,Duas ou mais raças,06/07/2016,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Website,Atende Plenamente,3.4,4,0,29/01/2019,0,7 +"Meads, Elizabeth",10128,0,0,0,5,5,3,1,62659,1,19,Técnico de Produção I,MA,1760,30/05/2068,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,02/04/2012,11/11/2016,Outra posição,Demissão Voluntária,Produção,Kelley Spirea,18.0,Feira de Empregos para Diversidade,Atende Plenamente,4.18,4,0,05/02/2016,0,17 +"Medeiros, Jennifer",10068,0,0,0,1,5,3,0,55688,0,19,Técnico de Produção I,MA,2346,22/09/1976,F,Solteiro(a),Cidadão dos EUA,Não,Branco,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,CareerBuilder,Atende Plenamente,5.0,4,0,21/01/2019,0,10 +"Miller, Brannon",10116,0,0,1,1,5,3,0,83667,0,18,Gerente de Produção,MA,2045,10/08/1981,M ,Solteiro(a),Cidadão dos EUA,Sim,Hispano,16/08/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,Indeed,Atende Plenamente,4.37,3,0,14/01/2019,0,2 +"Miller, Ned",10298,0,0,1,5,5,1,0,55800,1,20,Técnico de Produção II,MA,2472,29/06/1985,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,15/08/2011,04/09/2014,Insatisfação,Demissão Voluntária,Produção,Brannon Miller,12.0,LinkedIn,Plano de Melhoria de Desempenho,3.0,2,0,14/01/2013,6,6 +"Monkfish, Erasumus",10213,1,1,1,1,5,3,0,58207,0,20,Técnico de Produção II,MA,1450,17/08/1992,M ,Casado(a),Cidadão dos EUA,Não,Branco,07/11/2011,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,LinkedIn,Atende Plenamente,3.7,3,0,08/01/2019,0,14 +"Monroe, Peter",10288,1,1,1,1,3,2,1,157000,0,13,Gerente de TI - Infraestrutura,MA,2134,05/10/1986,M ,Casado(a),Elegível não cidadão,Sim,Negro ou Afro-americano,15/02/2012,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Jennifer Zamora,5.0,Feira de Empregos para Diversidade,Necessita de Melhoria,2.39,3,6,22/02/2019,4,13 +"Monterro, Luisa",10025,0,0,0,1,5,4,0,72460,0,20,Técnico de Produção II,MA,2126,24/04/1970,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,13/05/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,Indeed,Supera,4.7,3,0,14/01/2019,0,1 +"Moran, Patrick",10223,0,0,1,3,5,3,1,72106,0,20,Técnico de Produção II,MA,2127,03/12/1976,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,09/01/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,Feira de Empregos para Diversidade,Atende Plenamente,4.1,4,0,31/01/2019,0,12 +"Morway, Tanya",10151,1,1,0,1,3,3,0,52599,0,15,Engenheiro de Rede,MA,2048,04/04/1979,F,Casado(a),Cidadão dos EUA,Não,Branco,16/02/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,CareerBuilder,Atende Plenamente,3.81,3,6,11/02/2019,0,6 +"Motlagh, Dawn",10254,0,2,0,1,5,3,0,63430,0,19,Técnico de Produção I,MA,2453,07/07/1984,F,Divorciado(a),Cidadão dos EUA,Não,Branco,01/04/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,LinkedIn,Atende Plenamente,4.4,4,0,17/01/2019,0,18 +"Moumanil, Maliki ",10120,0,3,1,1,5,3,0,74417,0,20,Técnico de Produção II,MA,1460,01/12/1974,M ,Separado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,13/05/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,LinkedIn,Atende Plenamente,4.29,5,0,28/01/2019,0,11 +"Myers, Michael",10216,0,0,1,1,5,3,0,57575,0,19,Técnico de Produção I,MA,1550,18/04/1980,M ,Solteiro(a),Cidadão dos EUA,Não,Asiático,08/07/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,LinkedIn,Atende Plenamente,4.1,4,0,22/01/2019,0,13 +"Navathe, Kurt",10079,0,0,1,1,3,3,0,87921,0,22,Desenvolvedor Sênior de Business Intelligence,MA,2056,25/04/1970,M ,Solteiro(a),Cidadão dos EUA,Não,Asiático,10/02/2017,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Brian Champaigne,13.0,Indeed,Atende Plenamente,5.0,3,6,25/02/2019,0,17 +"Ndzi, Colombui",10215,0,0,1,5,5,3,1,50470,1,19,Técnico de Produção I,MA,2110,02/05/1989,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,26/09/2011,04/04/2014,Retorno à escola,Demissão Voluntária,Produção,Webster Butler,39.0,Feira de Empregos para Diversidade,Atende Plenamente,4.3,3,0,02/03/2013,0,19 +"Ndzi, Horia",10185,1,1,1,5,5,3,0,46664,1,19,Técnico de Produção I,MA,2421,28/03/1983,M ,Casado(a),Cidadão dos EUA,Não,Branco,01/04/2013,25/05/2016,Mais dinheiro,Demissão Voluntária,Produção,Amy Dunn,11.0,Indicação de Funcionário,Atende Plenamente,3.18,3,0,06/03/2016,0,10 +"Newman, Richard ",10063,1,1,1,3,5,3,0,48495,0,19,Técnico de Produção I,MA,2136,08/04/1977,M ,Casado(a),Cidadão dos EUA,Não,Branco,12/05/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,LinkedIn,Atende Plenamente,5.0,5,0,18/02/2019,0,11 +"Ngodup, Shari ",10037,0,3,0,1,5,4,1,52984,0,19,Técnico de Produção I,MA,1810,03/06/2067,F,Separado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,01/04/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Feira de Empregos para Diversidade,Supera,4.0,3,0,13/02/2019,0,12 +"Nguyen, Dheepa",10042,0,0,0,1,6,3,0,63695,0,3,Gerente de Vendas de Área,GA,30428,31/03/1989,F,Solteiro(a),Cidadão dos EUA,Não,Duas ou mais raças,08/07/2013,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Indeed,Atende Plenamente,5.0,5,0,25/01/2019,0,2 +"Nguyen, Lei-Ming",10206,0,0,0,1,5,3,0,62061,0,19,Técnico de Produção I,MA,2132,07/07/1984,F,Solteiro(a),Cidadão dos EUA,Não,Branco,08/07/2013,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,LinkedIn,Atende Plenamente,3.6,5,0,02/01/2019,0,4 +"Nowlan, Kristie",10104,0,0,0,1,5,3,0,66738,0,20,Técnico de Produção II,MA,1040,23/11/1985,F,Solteiro(a),Cidadão dos EUA,Não,Branco,10/11/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Indeed,Atende Plenamente,4.53,5,0,16/01/2019,0,5 +"O'hare, Lynn",10303,0,0,0,4,5,1,0,52674,1,19,Técnico de Produção I,MA,2152,30/09/1980,F,Solteiro(a),Cidadão dos EUA,Não,Duas ou mais raças,31/03/2014,01/05/2018,Desempenho,Demissão por Justa Causa,Produção,Kissy Sullivan,20.0,LinkedIn,Plano de Melhoria de Desempenho,2.33,2,0,09/03/2018,6,3 +"Oliver, Brooke ",10078,1,1,0,5,5,3,0,71966,1,20,Técnico de Produção II,MA,2492,11/02/2052,F,Casado(a),Cidadão dos EUA,Não,Asiático,14/05/2012,19/08/2013,Insatisfação,Demissão Voluntária,Produção,Webster Butler,39.0,LinkedIn,Atende Plenamente,5.0,3,0,02/07/2013,0,17 +"Onque, Jasmine",10121,0,0,0,1,6,3,0,63051,0,3,Gerente de Vendas de Área,FL,33174,11/05/1990,F,Solteiro(a),Cidadão dos EUA,Sim,Branco,30/09/2013,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Indeed,Atende Plenamente,4.28,3,0,25/01/2019,0,1 +"Osturnka, Adeel",10021,1,1,1,1,5,4,0,47414,0,19,Técnico de Produção I,MA,2478,11/12/1976,M ,Casado(a),Cidadão dos EUA,Não,Branco,30/09/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,LinkedIn,Supera,5.0,3,0,07/02/2019,0,13 +"Owad, Clinton",10281,0,0,1,1,5,2,0,53060,0,19,Técnico de Produção I,MA,1760,24/11/1979,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,17/02/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,LinkedIn,Necessita de Melhoria,4.25,3,0,04/02/2019,4,6 +"Ozark, Travis",10041,0,0,1,1,6,3,0,68829,0,3,Gerente de Vendas de Área,NC,27229,19/05/1982,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,05/01/2015,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Website,Atende Plenamente,5.0,5,0,14/01/2019,0,18 +"Panjwani, Nina",10148,1,1,0,5,5,3,0,63515,1,19,Técnico de Produção I,MA,2351,01/05/1979,F,Casado(a),Cidadão dos EUA,Não,Branco,07/02/2011,12/01/2014,Outra posição,Demissão Voluntária,Produção,Elijiah Gray,16.0,Pesquisa no Google,Atende Plenamente,3.89,4,0,04/03/2013,0,7 +"Patronick, Lucas",10005,0,0,1,5,4,4,1,108987,1,24,Engenheiro de Software,MA,1844,20/02/1979,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,07/11/2011,07/09/2015,Outra posição,Demissão Voluntária,Engenharia de Software,Alex Sweetwater,10.0,Feira de Empregos para Diversidade,Supera,5.0,5,3,16/08/2015,0,13 +"Pearson, Randall",10259,1,1,1,5,3,3,0,93093,1,9,Analista de Dados,MA,2747,05/09/1984,M ,Casado(a),Cidadão dos EUA,Não,Branco,01/12/2014,01/05/2016,Desempenho,Demissão Voluntária,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indicação de Funcionário,Atende Plenamente,4.7,4,5,16/01/2016,0,19 +"Smith, Martin",10286,0,0,1,5,5,2,0,53564,1,19,Técnico de Produção I,MA,2458,17/03/1988,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,10/01/2011,28/12/2017,Mudança de carreira,Demissão Voluntária,Produção,Webster Butler,39.0,Pesquisa no Google,Necessita de Melhoria,3.54,5,0,06/04/2017,4,15 +"Pelletier, Ermine",10297,1,1,0,5,5,2,0,60270,1,20,Técnico de Produção II,MA,2472,18/07/1989,F,Casado(a),Cidadão dos EUA,Não,Asiático,05/07/2011,15/09/2015,Insatisfação,Demissão Voluntária,Produção,Amy Dunn,11.0,CareerBuilder,Necessita de Melhoria,2.4,5,0,06/02/2015,5,2 +"Perry, Shakira",10171,0,0,0,5,5,3,0,45998,1,19,Técnico de Produção I,MA,2176,20/07/1986,F,Solteiro(a),Cidadão dos EUA,Não,Branco,16/05/2011,25/10/2015,Questões médicas,Demissão Voluntária,Produção,Amy Dunn,11.0,LinkedIn,Atende Plenamente,3.45,4,0,13/05/2014,0,5 +"Peters, Lauren",10032,1,1,0,5,5,4,0,57954,1,20,Técnico de Produção II,MA,1886,17/08/1986,F,Casado(a),Cidadão dos EUA,Não,Branco,16/05/2011,04/02/2013,Mais dinheiro,Demissão Voluntária,Produção,Ketsia Liebig,19.0,Indeed,Supera,4.2,5,0,10/01/2013,0,12 +"Peterson, Ebonee ",10130,1,1,0,5,5,3,0,74669,1,18,Gerente de Produção,MA,2030,09/05/1977,F,Casado(a),Cidadão dos EUA,Não,Branco,25/10/2010,18/05/2016,Outra posição,Demissão Voluntária,Produção,Janet King,2.0,Indeed,Atende Plenamente,4.16,5,0,05/03/2015,0,6 +"Petingill, Shana ",10217,1,1,0,1,5,3,0,74226,0,20,Técnico de Produção II,MA,2050,10/03/1979,F,Casado(a),Elegível não cidadão,Não,Asiático,02/04/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,LinkedIn,Atende Plenamente,4.3,3,0,14/01/2019,0,14 +"Petrowsky, Thelma",10016,1,1,0,1,3,4,0,93554,0,9,Analista de Dados,MA,1886,16/09/1984,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,10/11/2014,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indicação de Funcionário,Supera,4.6,5,7,04/01/2019,0,16 +"Pham, Hong",10050,1,1,1,5,5,3,0,64724,1,19,Técnico de Produção I,MA,2451,06/03/1988,M ,Casado(a),Cidadão dos EUA,Não,Asiático,05/07/2011,30/11/2012,Mais dinheiro,Demissão Voluntária,Produção,Brannon Miller,12.0,Pesquisa no Google,Atende Plenamente,5.0,3,0,20/02/2012,0,13 +"Pitt, Brad ",10164,0,0,1,1,5,3,0,47001,0,19,Técnico de Produção I,MA,2451,23/11/1981,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,05/11/2007,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,Pesquisa no Google,Atende Plenamente,3.66,3,0,25/02/2019,0,15 +"Potts, Xana",10124,1,1,0,1,6,3,0,61844,0,3,Gerente de Vendas de Área,KY,40220,29/08/1988,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,09/01/2012,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Website,Atende Plenamente,4.2,5,0,01/02/2019,0,9 +"Power, Morissa",10187,0,2,0,5,5,3,0,46799,1,19,Técnico de Produção I,MA,1742,15/10/1984,F,Divorciado(a),Elegível não cidadão,Não,Asiático,16/05/2011,04/06/2018,Outra posição,Demissão Voluntária,Produção,Kissy Sullivan,20.0,Pesquisa no Google,Atende Plenamente,3.17,4,0,02/04/2018,0,14 +"Punjabhi, Louis ",10225,0,0,1,1,5,3,0,59472,0,19,Técnico de Produção I,MA,2109,19/06/2061,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,06/01/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,Indicação de Funcionário,Atende Plenamente,4.8,3,0,07/01/2019,0,14 +"Purinton, Janine",10262,0,2,0,5,5,3,0,46430,1,19,Técnico de Produção I,MA,2474,22/09/1970,F,Divorciado(a),Cidadão dos EUA,Não,Branco,24/09/2012,18/06/2013,Insatisfação,Demissão Voluntária,Produção,Kissy Sullivan,20.0,Indeed,Atende Plenamente,4.5,5,0,02/04/2013,0,16 +"Quinn, Sean",10131,1,1,1,5,1,3,1,83363,1,23,Engenheiro de Software,MA,2045,06/11/1984,M ,Casado(a),Elegível não cidadão,Não,Negro ou Afro-americano,21/02/2011,15/08/2015,Mudança de carreira,Demissão Voluntária,Engenharia de Software,Janet King,2.0,Feira de Empregos para Diversidade,Atende Plenamente,4.15,4,0,19/04/2014,0,4 +"Rachael, Maggie",10239,1,1,0,1,3,3,0,95920,0,4,Desenvolvedor de Business Intelligence,MA,2110,12/05/1980,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,02/10/2016,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Brian Champaigne,13.0,Indeed,Atende Plenamente,4.4,4,6,06/02/2019,0,10 +"Rarrick, Quinn",10152,0,2,1,5,5,3,0,61729,1,19,Técnico de Produção I,MA,2478,31/12/1984,M ,Divorciado(a),Cidadão dos EUA,Não,Branco,26/09/2011,07/04/2018,Mais dinheiro,Demissão Voluntária,Produção,Michael Albert,22.0,Indeed,Atende Plenamente,3.8,5,0,04/02/2018,0,19 +"Ren, Kylo",10140,1,1,1,1,6,3,0,61809,0,3,Gerente de Vendas de Área,ID,83706,12/10/2054,M ,Casado(a),Cidadão dos EUA,Não,Branco,12/05/2014,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,CareerBuilder,Atende Plenamente,3.98,3,0,28/01/2019,0,4 +"Rhoads, Thomas",10058,0,2,1,5,5,3,0,45115,1,19,Técnico de Produção I,MA,2176,22/07/1982,M ,Divorciado(a),Cidadão dos EUA,Sim,Branco,16/05/2011,15/01/2016,Aposentadoria,Demissão Voluntária,Produção,Elijiah Gray,16.0,LinkedIn,Atende Plenamente,5.0,4,0,30/03/2015,0,11 +"Rivera, Haley ",10011,1,1,0,1,5,4,0,46738,0,19,Técnico de Produção I,MA,2171,12/01/1973,F,Casado(a),Cidadão dos EUA,Não,Asiático,28/11/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Webster Butler,,Pesquisa no Google,Supera,4.36,5,0,11/02/2019,0,16 +"Roberson, May",10230,0,2,0,5,5,3,0,64971,1,20,Técnico de Produção II,MA,1902,05/09/1981,F,Divorciado(a),Elegível não cidadão,Não,Negro ou Afro-americano,26/09/2011,22/10/2011,Retorno à escola,Demissão Voluntária,Produção,David Stanley,14.0,Pesquisa no Google,Atende Plenamente,4.5,4,0,22/10/2011,0,10 +"Robertson, Peter",10224,1,1,1,5,5,3,0,55578,1,20,Técnico de Produção II,MA,2138,03/07/1972,M ,Casado(a),Cidadão dos EUA,Não,Branco,05/07/2011,08/02/2012,Outra posição,Demissão Voluntária,Produção,Kissy Sullivan,20.0,Indeed,Atende Plenamente,4.2,5,0,06/01/2012,0,13 +"Robinson, Alain ",10047,1,1,1,5,5,3,0,50428,1,19,Técnico de Produção I,MA,1420,07/01/1974,M ,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,10/01/2011,26/01/2016,Frequência,Demissão Voluntária,Produção,Amy Dunn,11.0,Indeed,Atende Plenamente,5.0,3,0,10/01/2015,0,11 +"Robinson, Cherly",10285,1,1,0,4,5,2,0,61422,1,19,Técnico de Produção I,MA,1460,07/01/1985,F,Casado(a),Cidadão dos EUA,Não,Branco,10/01/2011,17/05/2016,Frequência,Demissão por Justa Causa,Produção,Ketsia Liebig,19.0,Indeed,Necessita de Melhoria,3.6,3,0,05/04/2016,4,16 +"Robinson, Elias",10020,0,4,1,1,5,4,0,63353,0,19,Técnico de Produção I,MA,1730,28/01/1985,M ,Viúvo(a),Cidadão dos EUA,Não,Branco,08/07/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Indicação de Funcionário,Supera,3.6,5,0,11/02/2019,0,4 +"Roby, Lori ",10162,1,1,0,1,3,3,0,89883,0,9,Analista de Dados,MA,1886,11/10/1981,F,Casado(a),Cidadão dos EUA,Não,Branco,16/02/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indicação de Funcionário,Atende Plenamente,3.69,5,6,14/02/2019,0,15 +"Roehrich, Bianca",10149,0,0,0,5,3,3,0,120000,1,29,Arquiteto de Dados Principal,MA,2703,27/05/1973,F,Solteiro(a),Cidadão dos EUA,Sim,Branco,05/01/2015,10/11/2018,Outra posição,Demissão Voluntária,Tecnologia da Informação/Sistemas,Simon Roup,4.0,LinkedIn,Atende Plenamente,3.88,3,7,13/02/2018,0,12 +"Roper, Katie",10086,0,0,0,1,3,3,0,150290,0,7,Arquiteto de Dados,MA,2056,21/11/1972,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,07/01/2017,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Brian Champaigne,13.0,Indeed,Atende Plenamente,4.94,3,5,06/02/2019,0,17 +"Rose, Ashley ",10054,0,3,0,1,5,3,0,60627,0,19,Técnico de Produção I,MA,1886,05/12/1974,F,Separado(a),Cidadão dos EUA,Não,Branco,06/01/2014,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,Website,Atende Plenamente,5.0,4,0,31/01/2019,0,8 +"Rossetti, Bruno",10065,0,0,1,5,5,3,0,53180,1,19,Técnico de Produção I,MA,2155,18/03/1987,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,04/04/2011,13/08/2018,Outra posição,Demissão Voluntária,Produção,Kissy Sullivan,20.0,Pesquisa no Google,Atende Plenamente,5.0,5,0,02/07/2018,0,4 +"Roup,Simon",10198,0,0,1,1,3,3,0,140920,0,13,Gerente de TI - Banco de Dados,MA,2481,05/04/1973,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,20/01/2013,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Jennifer Zamora,5.0,Indeed,Atende Plenamente,3.6,5,7,18/02/2019,0,13 +"Ruiz, Ricardo",10222,0,2,1,5,3,3,1,148999,1,13,Gerente de TI - Banco de Dados,MA,1915,04/01/2064,M ,Divorciado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,09/01/2012,04/11/2015,Horas de trabalho,Demissão Voluntária,Tecnologia da Informação/Sistemas,Jennifer Zamora,5.0,Feira de Empregos para Diversidade,Atende Plenamente,4.3,4,6,04/01/2015,0,8 +"Saada, Adell",10126,1,1,0,1,4,3,0,86214,0,24,Engenheiro de Software,MA,2132,24/07/1986,F,Casado(a),Cidadão dos EUA,Não,Branco,05/11/2012,,Não se aplica - Ainda empregado,Ativo,Engenharia de Software,Alex Sweetwater,10.0,Indeed,Atende Plenamente,4.2,3,6,13/02/2019,0,2 +"Saar-Beckles, Melinda",10295,0,0,0,2,5,2,1,47750,0,19,Técnico de Produção I,MA,1801,06/06/2068,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,04/07/2016,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,Feira de Empregos para Diversidade,Necessita de Melhoria,2.6,4,0,18/02/2019,5,4 +"Sadki, Nore ",10260,0,0,1,5,5,3,0,46428,1,19,Técnico de Produção I,MA,2148,21/12/1974,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,05/01/2009,30/07/2018,Mudança de área,Demissão Voluntária,Produção,Michael Albert,22.0,Pesquisa no Google,Atende Plenamente,4.6,5,0,05/02/2018,0,7 +"Sahoo, Adil",10233,1,1,1,1,5,3,0,57975,0,20,Técnico de Produção II,MA,2062,26/04/1986,M ,Casado(a),Cidadão dos EUA,Não,Branco,30/08/2010,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,CareerBuilder,Atende Plenamente,4.1,3,0,10/01/2019,0,13 +"Salter, Jason",10229,0,2,1,5,3,3,0,88527,1,9,Analista de Dados,MA,2452,17/12/1987,M ,Divorciado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,05/01/2015,31/10/2015,Horas de trabalho,Demissão Voluntária,Tecnologia da Informação/Sistemas,Simon Roup,4.0,LinkedIn,Atende Plenamente,4.2,3,5,20/04/2015,0,2 +"Sander, Kamrin",10169,1,1,0,1,5,3,0,56147,0,19,Técnico de Produção I,MA,2154,10/07/1988,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,LinkedIn,Atende Plenamente,3.51,3,0,18/02/2019,0,2 +"Sewkumar, Nori",10071,0,0,0,3,5,3,0,50923,0,19,Técnico de Produção I,MA,2191,10/03/1975,F,Solteiro(a),Cidadão dos EUA,Não,Asiático,30/09/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Webster Butler,,Pesquisa no Google,Atende Plenamente,5.0,5,0,06/02/2019,0,14 +"Shepard, Anita ",10179,1,1,0,1,3,3,0,50750,0,15,Engenheiro de Rede,MA,1773,14/04/1981,F,Casado(a),Cidadão dos EUA,Não,Branco,30/09/2014,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,LinkedIn,Atende Plenamente,3.31,3,6,07/01/2019,0,7 +"Shields, Seffi",10091,1,1,0,1,5,3,0,52087,0,19,Técnico de Produção I,MA,2149,24/08/1985,F,Casado(a),Cidadão dos EUA,Não,Branco,19/08/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Amy Dunn,11.0,LinkedIn,Atende Plenamente,4.81,4,0,15/02/2019,0,15 +"Simard, Kramer",10178,1,1,1,1,3,3,0,87826,0,9,Analista de Dados,MA,2110,08/02/1970,M ,Casado(a),Cidadão dos EUA,Sim,Branco,05/01/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indicação de Funcionário,Atende Plenamente,3.32,3,7,14/01/2019,0,16 +"Singh, Nan ",10039,0,0,0,1,1,3,0,51920,0,2,Assistente Administrativo,MA,2330,19/05/1988,F,Solteiro(a),Cidadão dos EUA,Não,Branco,01/05/2015,,Não se aplica - Ainda empregado,Ativo,Escritórios Administrativos,Brandon R. LeBlanc,1.0,Website,Atende Plenamente,5.0,3,5,15/01/2019,0,2 +"Sloan, Constance",10095,0,0,0,5,5,3,0,63878,1,20,Técnico de Produção II,MA,1851,25/11/1987,F,Solteiro(a),Cidadão dos EUA,Não,Branco,26/10/2009,08/04/2015,Licença maternidade - não retornou,Demissão Voluntária,Produção,Michael Albert,22.0,CareerBuilder,Atende Plenamente,4.68,4,0,02/04/2015,0,20 +"Smith, Joe",10027,0,0,1,1,5,4,0,60656,0,20,Técnico de Produção II,MA,2045,30/10/2063,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Indeed,Supera,4.3,3,0,28/01/2019,0,4 +"Smith, John",10291,0,2,1,1,6,2,1,72992,0,21,Gerente de Vendas,MA,1886,16/08/1984,M ,Divorciado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,18/05/2014,,Não se aplica - Ainda empregado,Ativo,Vendas,Debra Houlihan,15.0,Feira de Empregos para Diversidade,Necessita de Melhoria,2.4,4,0,16/01/2019,2,16 +"Smith, Leigh Ann",10153,1,1,0,5,1,3,1,55000,1,2,Assistente Administrativo,MA,1844,14/06/1987,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,26/09/2011,25/09/2013,Mudança de carreira,Demissão Voluntária,Escritórios Administrativos,Brandon R. LeBlanc,1.0,Feira de Empregos para Diversidade,Atende Plenamente,3.8,4,4,15/08/2013,0,17 +"Smith, Sade",10157,0,0,0,1,5,3,0,58939,0,19,Técnico de Produção I,MA,2130,02/02/2065,F,Solteiro(a),Cidadão dos EUA,Não,Branco,11/11/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Indicação de Funcionário,Atende Plenamente,3.73,3,0,24/01/2019,0,16 +"Soto, Julia ",10119,1,1,0,1,3,3,0,66593,0,14,Suporte de TI,MA,2360,12/03/1973,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,10/06/2011,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Eric Dougall,6.0,LinkedIn,Atende Plenamente,4.3,3,5,08/02/2019,0,19 +"Soze, Keyser",10180,1,1,1,2,3,3,0,87565,0,28,Engenheiro de Rede Sênior,MA,1545,09/02/1983,M ,Casado(a),Cidadão dos EUA,Não,Asiático,30/06/2016,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,LinkedIn,Atende Plenamente,3.27,4,5,14/01/2019,0,13 +"Sparks, Taylor ",10302,1,1,0,1,5,1,0,64021,0,19,Técnico de Produção I,MA,2093,20/07/2068,F,Casado(a),Cidadão dos EUA,Não,Branco,20/02/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Indeed,Plano de Melhoria de Desempenho,2.4,2,1,25/02/2019,6,20 +"Spirea, Kelley",10090,1,1,0,1,5,3,0,65714,0,18,Gerente de Produção,MA,2451,30/09/1975,F,Casado(a),Cidadão dos EUA,Não,Branco,02/10/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,LinkedIn,Atende Plenamente,4.83,5,0,14/02/2019,0,15 +"Squatrito, Kristen",10030,0,2,0,5,5,4,0,62425,1,19,Técnico de Produção I,MA,2359,26/03/1973,F,Divorciado(a),Cidadão dos EUA,Não,Branco,13/05/2013,29/06/2015,Insatisfação,Demissão Voluntária,Produção,David Stanley,14.0,LinkedIn,Supera,4.1,4,0,02/03/2015,0,16 +"Stanford,Barbara M",10278,0,2,0,1,5,3,0,47961,0,19,Técnico de Produção I,MA,2050,25/08/1982,F,Divorciado(a),Cidadão dos EUA,Não,Duas ou mais raças,10/01/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,Pesquisa no Google,Atende Plenamente,4.1,4,0,07/02/2019,0,9 +"Stansfield, Norman",10307,1,1,1,1,6,1,0,58273,0,3,Gerente de Vendas de Área,NV,89139,09/05/1974,M ,Casado(a),Cidadão dos EUA,Não,Branco,12/05/2014,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Website,Plano de Melhoria de Desempenho,1.81,2,0,17/01/2019,3,5 +"Steans, Tyrone ",10147,0,0,1,1,1,3,0,63003,0,1,Contador I,MA,2703,01/09/1986,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Escritórios Administrativos,Brandon R. LeBlanc,1.0,Indeed,Atende Plenamente,3.9,5,5,18/01/2019,0,9 +"Stoica, Rick",10266,1,1,1,1,5,3,0,61355,0,19,Técnico de Produção I,MA,2301,14/03/1985,M ,Casado(a),Cidadão dos EUA,Não,Asiático,17/02/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Kelley Spirea,18.0,LinkedIn,Atende Plenamente,4.7,3,0,11/01/2019,0,4 +"Strong, Caitrin",10241,1,1,0,1,6,3,0,60120,0,3,Gerente de Vendas de Área,MT,59102,12/05/1989,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,27/09/2010,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Indeed,Atende Plenamente,4.1,4,0,31/01/2019,0,18 +"Sullivan, Kissy ",10158,1,1,0,1,5,3,0,63682,0,18,Gerente de Produção,MA,1776,28/03/1978,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,08/01/2009,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,Indeed,Atende Plenamente,3.73,4,0,24/01/2019,0,12 +"Sullivan, Timothy",10117,1,1,1,1,5,3,0,63025,0,19,Técnico de Produção I,MA,2747,07/10/1982,M ,Casado(a),Cidadão dos EUA,Sim,Branco,05/01/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,Pesquisa no Google,Atende Plenamente,4.36,5,0,24/01/2019,0,10 +"Sutwell, Barbara",10209,0,0,0,1,5,3,0,59238,0,19,Técnico de Produção I,MA,2718,15/08/2068,F,Solteiro(a),Elegível não cidadão,Não,Asiático,14/05/2012,,Não se aplica - Ainda empregado,Ativo,Produção,Elijiah Gray,16.0,Indeed,Atende Plenamente,3.4,5,0,31/01/2019,0,13 +"Szabo, Andrew",10024,0,0,1,1,4,4,0,92989,0,24,Engenheiro de Software,MA,2140,06/05/1983,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,07/07/2014,,Não se aplica - Ainda empregado,Ativo,Engenharia de Software,Alex Sweetwater,10.0,LinkedIn,Supera,4.5,5,5,18/02/2019,0,1 +"Tannen, Biff",10173,1,1,1,1,3,3,0,90100,0,4,Desenvolvedor de Business Intelligence,MA,2134,24/10/1987,M ,Casado(a),Cidadão dos EUA,Não,Branco,20/04/2017,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Brian Champaigne,13.0,Indeed,Atende Plenamente,3.4,3,6,02/01/2019,0,14 +"Tavares, Desiree ",10221,1,1,0,5,5,3,1,60754,1,19,Técnico de Produção I,MA,1801,03/04/1975,F,Casado(a),Não cidadão,Não,Negro ou Afro-americano,27/04/2009,01/04/2013,Outra posição,Demissão Voluntária,Produção,Webster Butler,39.0,Feira de Empregos para Diversidade,Atende Plenamente,4.5,5,0,15/02/2012,0,11 +"Tejeda, Lenora ",10146,1,1,0,5,5,3,0,72202,1,20,Técnico de Produção II,MA,2129,24/05/2053,F,Casado(a),Cidadão dos EUA,Não,Branco,16/05/2011,08/07/2017,Outra posição,Demissão Voluntária,Produção,Elijiah Gray,16.0,Pesquisa no Google,Atende Plenamente,3.93,3,0,18/04/2017,0,3 +"Terry, Sharlene ",10161,0,0,0,1,6,3,0,58370,0,3,Gerente de Vendas de Área,OR,97756,07/05/2065,F,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Indeed,Atende Plenamente,3.69,3,0,28/01/2019,0,18 +"Theamstern, Sophia",10141,0,0,0,5,5,3,0,48413,1,19,Técnico de Produção I,MA,2066,09/05/2065,F,Solteiro(a),Cidadão dos EUA,Não,Branco,05/07/2011,05/09/2016,Retorno à escola,Demissão Voluntária,Produção,Amy Dunn,11.0,Indeed,Atende Plenamente,3.98,4,0,02/03/2016,0,1 +"Thibaud, Kenneth",10268,0,4,1,5,5,3,0,67176,1,20,Técnico de Produção II,MA,2472,16/09/1975,M ,Viúvo(a),Cidadão dos EUA,Não,Branco,25/06/2007,30/08/2010,Serviço militar,Demissão Voluntária,Produção,Webster Butler,39.0,Outro,Atende Plenamente,4.1,4,0,14/07/2010,0,15 +"Tippett, Jeanette",10123,0,2,0,1,5,3,0,56339,0,19,Técnico de Produção I,MA,2093,05/06/2067,F,Divorciado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,18/02/2013,,Não se aplica - Ainda empregado,Ativo,Produção,Brannon Miller,12.0,Indeed,Atende Plenamente,4.21,5,0,14/01/2019,0,4 +"Torrence, Jack",10013,0,3,1,1,6,4,0,64397,0,3,Gerente de Vendas de Área,ND,58782,15/01/2068,M ,Separado(a),Cidadão dos EUA,Não,Branco,09/01/2006,,Não se aplica - Ainda empregado,Ativo,Vendas,Lynn Daneault,21.0,Indeed,Supera,4.1,3,0,04/01/2019,0,6 +"Trang, Mei",10287,0,0,0,1,5,2,0,63025,0,19,Técnico de Produção I,MA,2021,16/05/1983,F,Solteiro(a),Cidadão dos EUA,Não,Branco,17/02/2014,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,LinkedIn,Necessita de Melhoria,2.44,5,0,11/02/2019,4,18 +"Tredinnick, Neville ",10044,1,1,1,5,3,3,0,75281,1,15,Engenheiro de Rede,MA,1420,05/05/1988,M ,Casado(a),Cidadão dos EUA,Não,Branco,05/01/2015,12/02/2016,Questões médicas,Demissão Voluntária,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,CareerBuilder,Atende Plenamente,5.0,3,5,15/04/2015,0,11 +"True, Edward",10102,0,0,1,5,4,3,1,100416,1,24,Engenheiro de Software,MA,2451,14/06/1983,M ,Solteiro(a),Não cidadão,Não,Negro ou Afro-americano,18/02/2013,15/04/2018,Questões médicas,Demissão Voluntária,Engenharia de Software,Alex Sweetwater,10.0,Feira de Empregos para Diversidade,Atende Plenamente,4.6,3,4,12/02/2017,0,9 +"Trzeciak, Cybil",10270,0,0,0,5,5,3,0,74813,1,20,Técnico de Produção II,MA,1778,15/03/1985,F,Solteiro(a),Cidadão dos EUA,Não,Branco,10/01/2011,02/07/2014,Insatisfação,Demissão Voluntária,Produção,Amy Dunn,11.0,LinkedIn,Atende Plenamente,4.4,3,0,05/01/2014,0,5 +"Turpin, Jumil",10045,1,1,1,1,3,3,0,76029,0,15,Engenheiro de Rede,MA,2343,31/03/1969,M ,Casado(a),Elegível não cidadão,Não,Branco,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,Indicação de Funcionário,Atende Plenamente,5.0,4,7,14/01/2019,0,8 +"Valentin,Jackie",10205,1,1,0,1,6,3,0,57859,0,3,Gerente de Vendas de Área,AZ,85006,23/05/1991,F,Casado(a),Cidadão dos EUA,Não,Duas ou mais raças,05/07/2011,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Indeed,Atende Plenamente,2.81,3,0,17/01/2019,0,16 +"Veera, Abdellah ",10014,0,2,1,5,5,4,0,58523,1,19,Técnico de Produção I,MA,2171,31/01/1987,M ,Divorciado(a),Cidadão dos EUA,Não,Branco,13/08/2012,05/02/2016,Licença maternidade - não retornou,Demissão Voluntária,Produção,Kissy Sullivan,20.0,LinkedIn,Supera,4.5,5,0,01/02/2016,0,15 +"Vega, Vincent",10144,0,2,1,1,5,3,0,88976,0,17,Gerente de Produção,MA,2169,10/10/2068,M ,Divorciado(a),Cidadão dos EUA,Não,Branco,01/08/2011,,Não se aplica - Ainda empregado,Ativo,Produção,Janet King,2.0,Indicação de Funcionário,Atende Plenamente,3.93,3,0,27/02/2019,0,19 +"Villanueva, Noah",10253,0,0,1,1,6,3,0,55875,0,3,Gerente de Vendas de Área,ME,4063,11/07/1989,M ,Solteiro(a),Cidadão dos EUA,Não,Asiático,05/03/2012,,Não se aplica - Ainda empregado,Ativo,Vendas,John Smith,17.0,Website,Atende Plenamente,4.5,4,0,18/01/2019,0,11 +"Voldemort, Lord",10118,1,1,1,4,3,3,0,113999,1,8,Administrador de Banco de Dados,MA,1960,07/08/1986,M ,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,16/02/2015,22/02/2017,"Sem ligação, sem comparecimento",Demissão por Justa Causa,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indicação de Funcionário,Atende Plenamente,4.33,3,7,15/02/2017,0,9 +"Volk, Colleen",10022,1,1,0,4,5,4,0,49773,1,19,Técnico de Produção I,MA,2747,03/06/1986,F,Casado(a),Cidadão dos EUA,Não,Branco,26/09/2011,08/02/2016,Conduta inadequada grave,Demissão por Justa Causa,Produção,Kelley Spirea,18.0,Pesquisa no Google,Supera,4.3,5,0,01/02/2015,0,18 +"Von Massenbach, Anna",10183,0,0,0,2,5,3,0,62068,0,19,Técnico de Produção I,MA,2124,06/04/1985,F,Solteiro(a),Cidadão dos EUA,Não,Branco,05/07/2015,,Não se aplica - Ainda empregado,Ativo,Produção,Michael Albert,22.0,LinkedIn,Atende Plenamente,3.21,3,0,29/01/2019,0,7 +"Walker, Roger",10190,0,0,1,1,5,3,0,66541,0,20,Técnico de Produção II,MA,2459,10/02/1976,M ,Solteiro(a),Cidadão dos EUA,Não,Negro ou Afro-americano,18/08/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Ketsia Liebig,19.0,Indicação de Funcionário,Atende Plenamente,3.11,5,0,12/02/2019,0,4 +"Wallace, Courtney E",10274,1,1,0,5,5,3,1,80512,1,18,Gerente de Produção,MA,2478,14/11/2055,F,Casado(a),Cidadão dos EUA,Não,Negro ou Afro-americano,26/09/2011,02/01/2012,Outra posição,Demissão Voluntária,Produção,Janet King,2.0,Feira de Empregos para Diversidade,Atende Plenamente,4.5,3,0,02/01/2012,0,5 +"Wallace, Theresa",10293,0,0,0,5,5,2,0,50274,1,19,Técnico de Produção I,MA,1887,02/08/1980,F,Solteiro(a),Cidadão dos EUA,Não,Branco,13/08/2012,01/09/2015,Mudança de carreira,Demissão Voluntária,Produção,Elijiah Gray,16.0,CareerBuilder,Necessita de Melhoria,2.5,3,0,05/09/2014,6,13 +"Wang, Charlie",10172,0,0,1,1,3,3,0,84903,0,22,Desenvolvedor Sênior de Business Intelligence,MA,1887,08/07/1981,M ,Solteiro(a),Cidadão dos EUA,Não,Asiático,15/02/2017,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Brian Champaigne,13.0,Indeed,Atende Plenamente,3.42,4,7,04/01/2019,0,17 +"Warfield, Sarah",10127,0,4,0,1,3,3,0,107226,0,28,Engenheiro de Rede Sênior,MA,2453,02/05/1978,F,Viúvo(a),Cidadão dos EUA,Não,Asiático,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Peter Monroe,7.0,Indicação de Funcionário,Atende Plenamente,4.2,4,8,05/02/2019,0,7 +"Whittier, Scott",10072,0,0,1,5,5,3,0,58371,1,19,Técnico de Produção I,MA,2030,24/05/1987,M ,Solteiro(a),Cidadão dos EUA,Sim,Branco,10/01/2011,15/05/2014,Horas de trabalho,Demissão Voluntária,Produção,Webster Butler,39.0,LinkedIn,Atende Plenamente,5.0,5,0,15/05/2014,0,11 +"Wilber, Barry",10048,1,1,1,5,5,3,0,55140,1,19,Técnico de Produção I,MA,2324,09/09/2065,M ,Casado(a),Elegível não cidadão,Não,Branco,16/05/2011,07/09/2015,Insatisfação,Demissão Voluntária,Produção,Amy Dunn,11.0,Website,Atende Plenamente,5.0,3,0,15/02/2015,0,7 +"Wilkes, Annie",10204,0,2,0,5,5,3,0,58062,1,19,Técnico de Produção I,MA,1876,30/07/1983,F,Divorciado(a),Cidadão dos EUA,Não,Branco,10/01/2011,14/05/2012,Outra posição,Demissão Voluntária,Produção,Ketsia Liebig,19.0,Pesquisa no Google,Atende Plenamente,3.6,5,0,06/02/2011,0,9 +"Williams, Jacquelyn ",10264,0,0,0,5,5,3,1,59728,1,19,Técnico de Produção I,MA,2109,02/10/1969,F,Solteiro(a),Cidadão dos EUA,Sim,Negro ou Afro-americano,09/01/2012,27/06/2015,Mudança de área,Demissão Voluntária,Produção,Ketsia Liebig,19.0,Feira de Empregos para Diversidade,Atende Plenamente,4.3,4,0,02/06/2014,0,16 +"Winthrop, Jordan ",10033,0,0,1,5,5,4,0,70507,1,20,Técnico de Produção II,MA,2045,07/11/2058,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,07/01/2013,21/02/2016,Aposentadoria,Demissão Voluntária,Produção,Brannon Miller,12.0,LinkedIn,Supera,5.0,3,0,19/01/2016,0,7 +"Wolk, Hang T",10174,0,0,0,1,5,3,0,60446,0,20,Técnico de Produção II,MA,2302,20/04/1985,F,Solteiro(a),Cidadão dos EUA,Não,Branco,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,LinkedIn,Atende Plenamente,3.4,4,0,21/02/2019,0,14 +"Woodson, Jason",10135,0,0,1,1,5,3,0,65893,0,20,Técnico de Produção II,MA,1810,11/05/1985,M ,Solteiro(a),Cidadão dos EUA,Não,Branco,07/07/2014,,Não se aplica - Ainda empregado,Ativo,Produção,Kissy Sullivan,20.0,LinkedIn,Atende Plenamente,4.07,4,0,28/02/2019,0,13 +"Ybarra, Catherine ",10301,0,0,0,5,5,1,0,48513,1,19,Técnico de Produção I,MA,2458,04/05/1982,F,Solteiro(a),Cidadão dos EUA,Não,Asiático,02/09/2008,29/09/2015,Outra posição,Demissão Voluntária,Produção,Brannon Miller,12.0,Pesquisa no Google,Plano de Melhoria de Desempenho,3.2,2,0,02/09/2015,5,4 +"Zamora, Jennifer",10010,0,0,0,1,3,4,0,220450,0,6,CIO,MA,2067,30/08/1979,F,Solteiro(a),Cidadão dos EUA,Não,Branco,10/04/2010,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Janet King,2.0,Indicação de Funcionário,Supera,4.6,5,6,21/02/2019,0,16 +"Zhou, Julia",10043,0,0,0,1,3,3,0,89292,0,9,Analista de Dados,MA,2148,24/02/1979,F,Solteiro(a),Cidadão dos EUA,Não,Branco,30/03/2015,,Não se aplica - Ainda empregado,Ativo,Tecnologia da Informação/Sistemas,Simon Roup,4.0,Indicação de Funcionário,Atende Plenamente,5.0,3,5,01/02/2019,0,11 +"Zima, Colleen",10271,0,4,0,1,5,3,0,45046,0,19,Técnico de Produção I,MA,1730,17/08/1978,F,Viúvo(a),Cidadão dos EUA,Não,Asiático,29/09/2014,,Não se aplica - Ainda empregado,Ativo,Produção,David Stanley,14.0,LinkedIn,Atende Plenamente,4.5,5,0,30/01/2019,0,2 diff --git a/exercicios/para-casa/hr/HR/HRDataset_v14.csv b/exercicios/para-casa/hr/HR/HRDataset_v14.csv new file mode 100644 index 0000000..dcd3ef6 --- /dev/null +++ b/exercicios/para-casa/hr/HR/HRDataset_v14.csv @@ -0,0 +1,312 @@ +Employee_Name,EmpID,MarriedID,MaritalStatusID,GenderID,EmpStatusID,DeptID,PerfScoreID,FromDiversityJobFairID,Salary,Termd,PositionID,Position,State,Zip,DOB,Sex,MaritalDesc,CitizenDesc,HispanicLatino,RaceDesc,DateofHire,DateofTermination,TermReason,EmploymentStatus,Department,ManagerName,ManagerID,RecruitmentSource,PerformanceScore,EngagementSurvey,EmpSatisfaction,SpecialProjectsCount,LastPerformanceReview_Date,DaysLateLast30,Absences +"Adinolfi, Wilson K",10026,0,0,1,1,5,4,0,62506,0,19,Production Technician I,MA,01960,07/10/83,M ,Single,US Citizen,No,White,7/5/2011,,N/A-StillEmployed,Active,Production ,Michael Albert,22,LinkedIn,Exceeds,4.60,5,0,1/17/2019,0,1 +"Ait Sidi, Karthikeyan ",10084,1,1,1,5,3,3,0,104437,1,27,Sr. DBA,MA,02148,05/05/75,M ,Married,US Citizen,No,White,3/30/2015,6/16/2016,career change,Voluntarily Terminated,IT/IS,Simon Roup,4,Indeed,Fully Meets,4.96,3,6,2/24/2016,0,17 +"Akinkuolie, Sarah",10196,1,1,0,5,5,3,0,64955,1,20,Production Technician II,MA,01810,09/19/88,F,Married,US Citizen,No,White,7/5/2011,9/24/2012,hours,Voluntarily Terminated,Production ,Kissy Sullivan,20,LinkedIn,Fully Meets,3.02,3,0,5/15/2012,0,3 +"Alagbe,Trina",10088,1,1,0,1,5,3,0,64991,0,19,Production Technician I,MA,01886,09/27/88,F,Married,US Citizen,No,White,1/7/2008,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Indeed,Fully Meets,4.84,5,0,1/3/2019,0,15 +"Anderson, Carol ",10069,0,2,0,5,5,3,0,50825,1,19,Production Technician I,MA,02169,09/08/89,F,Divorced,US Citizen,No,White,7/11/2011,9/6/2016,return to school,Voluntarily Terminated,Production ,Webster Butler,39,Google Search,Fully Meets,5.00,4,0,2/1/2016,0,2 +"Anderson, Linda ",10002,0,0,0,1,5,4,0,57568,0,19,Production Technician I,MA,01844,05/22/77,F,Single,US Citizen,No,White,1/9/2012,,N/A-StillEmployed,Active,Production ,Amy Dunn,11,LinkedIn,Exceeds,5.00,5,0,1/7/2019,0,15 +"Andreola, Colby",10194,0,0,0,1,4,3,0,95660,0,24,Software Engineer,MA,02110,05/24/79,F,Single,US Citizen,No,White,11/10/2014,,N/A-StillEmployed,Active,Software Engineering,Alex Sweetwater,10,LinkedIn,Fully Meets,3.04,3,4,1/2/2019,0,19 +"Athwal, Sam",10062,0,4,1,1,5,3,0,59365,0,19,Production Technician I,MA,02199,02/18/83,M ,Widowed,US Citizen,No,White,9/30/2013,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Employee Referral,Fully Meets,5.00,4,0,2/25/2019,0,19 +"Bachiochi, Linda",10114,0,0,0,3,5,3,1,47837,0,19,Production Technician I,MA,01902,02/11/70,F,Single,US Citizen,No,Black or African American,7/6/2009,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Diversity Job Fair,Fully Meets,4.46,3,0,1/25/2019,0,4 +"Bacong, Alejandro ",10250,0,2,1,1,3,3,0,50178,0,14,IT Support,MA,01886,01/07/88,M ,Divorced,US Citizen,No,White,1/5/2015,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,Indeed,Fully Meets,5.00,5,6,2/18/2019,0,16 +"Baczenski, Rachael ",10252,1,1,0,5,5,3,1,54670,1,19,Production Technician I,MA,01902,01/12/74,F,Married,US Citizen,Yes,Black or African American,1/10/2011,1/12/2017,Another position,Voluntarily Terminated,Production ,David Stanley,14,Diversity Job Fair,Fully Meets,4.20,4,0,1/30/2016,0,12 +"Barbara, Thomas",10242,1,1,1,5,5,3,1,47211,1,19,Production Technician I,MA,02062,02/21/74,M ,Married,US Citizen,Yes,Black or African American,4/2/2012,9/19/2016,unhappy,Voluntarily Terminated,Production ,Kissy Sullivan,20,Diversity Job Fair,Fully Meets,4.20,3,0,5/6/2016,0,15 +"Barbossa, Hector",10012,0,2,1,1,3,4,1,92328,0,9,Data Analyst,TX,78230,07/04/88,M ,Divorced,US Citizen,No,Black or African American,11/10/2014,,N/A-StillEmployed,Active,IT/IS,Simon Roup,4,Diversity Job Fair,Exceeds,4.28,4,5,2/25/2019,0,9 +"Barone, Francesco A",10265,0,0,1,1,5,3,0,58709,0,19,Production Technician I,MA,01810,07/20/83,M ,Single,US Citizen,No,Two or more races,2/20/2012,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,Google Search,Fully Meets,4.60,4,0,2/14/2019,0,7 +"Barton, Nader",10066,0,2,1,5,5,3,0,52505,1,19,Production Technician I,MA,02747,07/15/77,M ,Divorced,US Citizen,No,White,9/24/2012,4/6/2017,Another position,Voluntarily Terminated,Production ,Michael Albert,22,On-line Web application,Fully Meets,5.00,5,0,3/2/2017,0,1 +"Bates, Norman",10061,0,0,1,4,5,3,0,57834,1,19,Production Technician I,MA,02050,10/18/81,M ,Single,US Citizen,No,White,2/21/2011,8/4/2017,attendance,Terminated for Cause,Production ,Kelley Spirea,18,Google Search,Fully Meets,5.00,4,0,4/5/2017,0,20 +"Beak, Kimberly ",10023,1,1,0,2,5,4,0,70131,0,20,Production Technician II,MA,02145,04/17/66,F,Married,US Citizen,No,White,7/21/2016,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,Employee Referral,Exceeds,4.40,3,0,1/14/2019,0,16 +"Beatrice, Courtney ",10055,0,0,0,1,5,3,0,59026,0,19,Production Technician I,MA,01915,10/27/70,F,Single,Eligible NonCitizen,No,White,4/4/2011,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Google Search,Fully Meets,5.00,5,0,1/14/2019,0,12 +"Becker, Renee",10245,0,0,0,4,3,3,0,110000,1,8,Database Administrator,MA,02026,04/04/86,F,Single,US Citizen,Yes,White,7/7/2014,9/12/2015,performance,Terminated for Cause,IT/IS,Simon Roup,4,Google Search,Fully Meets,4.50,4,5,1/15/2015,0,8 +"Becker, Scott",10277,0,0,1,3,5,3,0,53250,0,19,Production Technician I,MA,02452,04/06/79,M ,Single,US Citizen,No,Asian,7/8/2013,,N/A-StillEmployed,Active,Production ,Webster Butler,,LinkedIn,Fully Meets,4.20,4,0,1/11/2019,0,13 +"Bernstein, Sean",10046,0,0,1,1,5,3,0,51044,0,19,Production Technician I,MA,02072,12/22/70,M ,Single,US Citizen,Yes,White,4/2/2012,,N/A-StillEmployed,Active,Production ,Amy Dunn,11,Google Search,Fully Meets,5.00,3,0,1/14/2019,0,13 +"Biden, Lowan M",10226,0,2,0,1,5,3,0,64919,0,19,Production Technician I,MA,02027,12/27/58,F,Divorced,US Citizen,No,Asian,8/19/2013,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Indeed,Fully Meets,4.20,3,0,1/10/2019,0,2 +"Billis, Helen",10003,1,1,0,1,5,4,0,62910,0,19,Production Technician I,MA,02031,09/01/89,F,Married,US Citizen,No,White,7/7/2014,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Indeed,Exceeds,5.00,3,0,2/27/2019,0,19 +"Blount, Dianna",10294,0,0,0,1,5,2,0,66441,0,20,Production Technician II,MA,02171,09/21/90,F,Single,US Citizen,No,White,4/4/2011,,N/A-StillEmployed,Active,Production ,Michael Albert,22,CareerBuilder,Needs Improvement,2.00,3,0,2/27/2019,2,3 +"Bondwell, Betsy",10267,0,0,0,5,5,3,0,57815,1,20,Production Technician II,MA,02210,01/16/67,F,Single,US Citizen,No,White,1/10/2011,4/4/2014,career change,Voluntarily Terminated,Production ,Elijiah Gray,16,Google Search,Fully Meets,4.80,5,0,3/4/2014,0,5 +"Booth, Frank",10199,0,0,1,4,3,3,0,103613,1,30,Enterprise Architect,CT,06033,07/30/64,M ,Single,US Citizen,No,Black or African American,2/17/2014,2/19/2016,Learned that he is a gangster,Terminated for Cause,IT/IS,Simon Roup,4,LinkedIn,Fully Meets,3.50,5,7,1/10/2016,0,2 +"Boutwell, Bonalyn",10081,1,1,0,1,1,3,1,106367,0,26,Sr. Accountant,MA,02468,04/04/87,F,Married,US Citizen,No,Black or African American,2/16/2015,,N/A-StillEmployed,Active,Admin Offices,Brandon R. LeBlanc,3,Diversity Job Fair,Fully Meets,5.00,4,3,2/18/2019,0,4 +"Bozzi, Charles",10175,0,0,1,5,5,3,0,74312,1,18,Production Manager,MA,01901,03/10/70,M ,Single,US Citizen,No,Asian,9/30/2013,8/7/2014,retiring,Voluntarily Terminated,Production ,Janet King,2,Indeed,Fully Meets,3.39,3,0,2/20/2014,0,14 +"Brill, Donna",10177,1,1,0,5,5,3,0,53492,1,19,Production Technician I,MA,01701,08/24/90,F,Married,US Citizen,No,White,4/2/2012,6/15/2013,Another position,Voluntarily Terminated,Production ,David Stanley,14,Google Search,Fully Meets,3.35,4,0,3/4/2013,0,6 +"Brown, Mia",10238,1,1,0,1,1,3,1,63000,0,1,Accountant I,MA,01450,11/24/87,F,Married,US Citizen,No,Black or African American,10/27/2008,,N/A-StillEmployed,Active,Admin Offices,Brandon R. LeBlanc,1,Diversity Job Fair,Fully Meets,4.50,2,6,1/15/2019,0,14 +"Buccheri, Joseph ",10184,0,0,1,1,5,3,0,65288,0,20,Production Technician II,MA,01013,07/28/83,M ,Single,US Citizen,No,White,9/29/2014,,N/A-StillEmployed,Active,Production ,Webster Butler,,Google Search,Fully Meets,3.19,3,0,2/1/2019,0,9 +"Bugali, Josephine ",10203,0,3,0,3,5,3,1,64375,0,19,Production Technician I,MA,02043,10/30/69,F,Separated,US Citizen,No,Black or African American,11/11/2013,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,Diversity Job Fair,Fully Meets,3.50,5,0,1/21/2019,0,17 +"Bunbury, Jessica",10188,1,1,0,5,6,3,0,74326,1,3,Area Sales Manager,VA,21851,06/01/64,F,Married,Eligible NonCitizen,No,Black or African American,8/15/2011,8/2/2014,Another position,Voluntarily Terminated,Sales,John Smith,17,Google Search,Fully Meets,3.14,5,0,2/10/2013,1,19 +"Burke, Joelle",10107,0,0,0,1,5,3,0,63763,0,20,Production Technician II,MA,02148,03/02/80,F,Single,US Citizen,No,Black or African American,3/5/2012,,N/A-StillEmployed,Active,Production ,Amy Dunn,11,Employee Referral,Fully Meets,4.51,4,0,2/21/2019,0,3 +"Burkett, Benjamin ",10181,1,1,1,1,5,3,0,62162,0,20,Production Technician II,MA,01890,08/19/77,M ,Married,US Citizen,No,White,4/4/2011,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Indeed,Fully Meets,3.25,5,0,1/14/2019,0,15 +"Cady, Max ",10150,0,0,1,1,4,3,0,77692,0,25,Software Engineering Manager,MA,02184,11/22/66,M ,Single,US Citizen,No,White,8/15/2011,,N/A-StillEmployed,Active,Software Engineering,Jennifer Zamora,5,Google Search,Fully Meets,3.84,3,5,1/21/2019,0,4 +"Candie, Calvin",10001,0,0,1,1,5,4,0,72640,0,18,Production Manager,MA,02169,08/09/83,M ,Single,US Citizen,No,White,1/28/2016,,N/A-StillEmployed,Active,Production ,Janet King,2,Indeed,Exceeds,5.00,3,0,2/22/2019,0,14 +"Carabbio, Judith",10085,0,0,0,1,4,3,0,93396,0,24,Software Engineer,MA,02132,04/05/87,F,Single,US Citizen,No,White,11/11/2013,,N/A-StillEmployed,Active,Software Engineering,Alex Sweetwater,10,Indeed,Fully Meets,4.96,4,6,1/30/2019,0,3 +"Carey, Michael ",10115,0,0,1,1,5,3,0,52846,0,19,Production Technician I,MA,01701,02/02/83,M ,Single,US Citizen,No,Black or African American,3/31/2014,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,LinkedIn,Fully Meets,4.43,3,0,2/1/2019,0,14 +"Carr, Claudia N",10082,0,0,0,2,3,3,0,100031,0,27,Sr. DBA,MA,01886,06/06/86,F,Single,US Citizen,No,Black or African American,6/30/2016,,N/A-StillEmployed,Active,IT/IS,Simon Roup,4,LinkedIn,Fully Meets,5.00,5,6,2/18/2019,0,7 +"Carter, Michelle ",10040,0,0,0,1,6,3,0,71860,0,3,Area Sales Manager,VT,05664,05/15/63,F,Single,US Citizen,No,White,8/18/2014,,N/A-StillEmployed,Active,Sales,John Smith,17,Indeed,Fully Meets,5.00,5,0,1/21/2019,0,7 +"Chace, Beatrice ",10067,0,0,0,1,5,3,0,61656,0,19,Production Technician I,MA,02763,01/02/51,F,Single,US Citizen,No,White,9/29/2014,,N/A-StillEmployed,Active,Production ,Michael Albert,22,Google Search,Fully Meets,5.00,4,0,2/12/2019,0,11 +"Champaigne, Brian",10108,1,1,1,1,3,3,0,110929,0,5,BI Director,MA,02045,02/09/72,M ,Married,US Citizen,No,White,9/6/2016,,N/A-StillEmployed,Active,IT/IS,Jennifer Zamora,5,Indeed,Fully Meets,4.50,5,7,1/15/2019,0,8 +"Chan, Lin",10210,0,0,0,1,5,3,0,54237,0,19,Production Technician I,MA,02170,02/12/79,F,Single,US Citizen,No,White,5/12/2014,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Indeed,Fully Meets,3.30,4,0,2/19/2019,0,11 +"Chang, Donovan E",10154,0,0,1,1,5,3,0,60380,0,19,Production Technician I,MA,01845,08/24/83,M ,Single,US Citizen,No,White,7/8/2013,,N/A-StillEmployed,Active,Production ,Webster Butler,,LinkedIn,Fully Meets,3.80,5,0,1/14/2019,0,4 +"Chigurh, Anton",10200,0,0,1,1,6,3,0,66808,0,3,Area Sales Manager,TX,78207,06/11/70,M ,Single,Eligible NonCitizen,No,Black or African American,5/14/2012,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Employee Referral,Fully Meets,3.00,5,0,1/19/2019,0,17 +"Chivukula, Enola",10240,0,0,0,5,5,3,0,64786,1,19,Production Technician I,MA,01775,08/27/83,F,Single,US Citizen,No,White,6/27/2011,11/15/2015,relocation out of area,Voluntarily Terminated,Production ,Amy Dunn,11,Indeed,Fully Meets,4.30,4,0,3/10/2015,0,3 +"Cierpiszewski, Caroline ",10168,0,0,0,1,5,3,0,64816,0,19,Production Technician I,MA,02044,05/31/88,F,Single,Non-Citizen,No,Black or African American,10/3/2011,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Indeed,Fully Meets,3.58,5,0,1/30/2019,0,3 +"Clayton, Rick",10220,0,0,1,1,3,3,0,68678,0,14,IT Support,MA,02170,09/05/85,M ,Single,US Citizen,No,White,9/5/2012,,N/A-StillEmployed,Active,IT/IS,Eric Dougall,6,Indeed,Fully Meets,4.70,3,6,2/27/2019,0,2 +"Cloninger, Jennifer",10275,1,1,0,5,5,3,0,64066,1,20,Production Technician II,MA,01752,08/31/81,F,Married,US Citizen,No,White,5/16/2011,1/7/2013,unhappy,Voluntarily Terminated,Production ,Brannon Miller,12,Google Search,Fully Meets,4.20,5,0,5/3/2012,0,9 +"Close, Phil",10269,1,1,1,5,5,3,0,59369,1,20,Production Technician II,MA,02169,11/25/78,M ,Married,US Citizen,No,White,8/30/2010,9/26/2011,career change,Voluntarily Terminated,Production ,David Stanley,14,Indeed,Fully Meets,4.20,4,0,5/4/2011,0,6 +"Clukey, Elijian",10029,1,1,1,2,5,4,0,50373,0,19,Production Technician I,MA,02134,08/26/80,M ,Married,US Citizen,No,White,7/6/2016,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Employee Referral,Exceeds,4.10,4,0,2/28/2019,0,5 +"Cockel, James",10261,0,0,1,1,5,3,0,63108,0,19,Production Technician I,MA,02452,09/08/77,M ,Single,US Citizen,No,White,7/8/2013,,N/A-StillEmployed,Active,Production ,David Stanley,14,Employee Referral,Fully Meets,4.40,5,0,1/14/2019,0,3 +"Cole, Spencer",10292,0,0,1,4,5,2,0,59144,1,19,Production Technician I,MA,01880,08/12/79,M ,Single,US Citizen,No,Black or African American,7/11/2011,9/23/2016,performance,Terminated for Cause,Production ,Kissy Sullivan,20,LinkedIn,Needs Improvement,2.00,3,0,5/1/2016,5,16 +"Corleone, Michael",10282,0,2,1,1,5,2,0,68051,0,18,Production Manager,MA,01803,12/17/75,M ,Divorced,US Citizen,No,White,7/20/2010,,N/A-StillEmployed,Active,Production ,Janet King,2,CareerBuilder,Needs Improvement,4.13,2,0,1/14/2019,3,3 +"Corleone, Vito",10019,0,0,1,1,5,4,0,170500,0,10,Director of Operations,MA,02030,03/19/83,M ,Single,US Citizen,No,Black or African American,1/5/2009,,N/A-StillEmployed,Active,Production ,Janet King,2,Indeed,Exceeds,3.70,5,0,2/4/2019,0,15 +"Cornett, Lisa ",10094,1,1,0,1,5,3,0,63381,0,19,Production Technician I,MA,02189,03/31/77,F,Married,US Citizen,Yes,White,1/5/2015,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,Indeed,Fully Meets,4.73,5,0,2/14/2019,0,6 +"Costello, Frank",10193,1,1,1,1,3,3,0,83552,0,9,Data Analyst,MA,01810,08/26/86,M ,Married,US Citizen,No,White,3/30/2015,,N/A-StillEmployed,Active,IT/IS,Simon Roup,4,Indeed,Fully Meets,3.04,3,6,1/22/2019,0,2 +"Crimmings, Jean",10132,0,0,0,2,5,3,0,56149,0,19,Production Technician I,MA,01821,04/10/87,F,Single,US Citizen,No,White,7/6/2016,,N/A-StillEmployed,Active,Production ,Michael Albert,22,LinkedIn,Fully Meets,4.12,5,0,1/28/2019,0,15 +"Cross, Noah",10083,0,0,1,1,3,3,0,92329,0,28,Sr. Network Engineer,CT,06278,09/09/65,M ,Single,US Citizen,No,White,11/10/2014,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,Employee Referral,Fully Meets,5.00,3,4,1/2/2019,0,5 +"Daneault, Lynn",10099,0,0,0,1,6,3,0,65729,0,21,Sales Manager,VT,05473,04/19/90,F,Single,US Citizen,No,White,5/5/2014,,N/A-StillEmployed,Active,Sales,Debra Houlihan,15,Indeed,Fully Meets,4.62,4,0,1/24/2019,0,8 +"Daniele, Ann ",10212,1,1,0,3,3,3,0,85028,0,28,Sr. Network Engineer,CT,06033,01/18/52,F,Married,US Citizen,No,White,11/10/2014,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,LinkedIn,Fully Meets,3.10,5,8,2/12/2019,0,19 +"Darson, Jene'ya ",10056,1,1,0,1,5,3,0,57583,0,19,Production Technician I,MA,02110,11/05/78,F,Married,US Citizen,No,White,7/2/2012,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Indeed,Fully Meets,5.00,3,0,2/25/2019,0,1 +"Davis, Daniel",10143,0,0,1,1,5,3,0,56294,0,20,Production Technician II,MA,02458,09/14/79,M ,Single,Eligible NonCitizen,No,Two or more races,11/7/2011,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,LinkedIn,Fully Meets,3.96,4,0,2/27/2019,0,6 +"Dee, Randy",10311,1,1,1,1,6,1,0,56991,0,19,Production Technician I,MA,02138,04/15/88,M ,Married,US Citizen,No,White,7/9/2018,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Indeed,Fully Meets,4.3,4,3,1/31/2019,2,2 +"DeGweck, James",10070,1,1,1,5,5,3,0,55722,1,19,Production Technician I,MA,01810,10/31/77,M ,Married,US Citizen,No,White,5/16/2011,6/8/2016,unhappy,Voluntarily Terminated,Production ,Webster Butler,39,Indeed,Fully Meets,5.00,4,0,4/2/2016,0,14 +"Del Bosque, Keyla",10155,0,0,0,1,4,3,0,101199,0,24,Software Engineer,MA,02176,07/05/79,F,Single,US Citizen,No,Black or African American,1/9/2012,,N/A-StillEmployed,Active,Software Engineering,Alex Sweetwater,10,CareerBuilder,Fully Meets,3.79,5,5,1/25/2019,0,8 +"Delarge, Alex",10306,0,0,1,1,6,1,0,61568,0,3,Area Sales Manager,AL,36006,11/02/75,M ,Single,US Citizen,No,Two or more races,9/29/2014,,N/A-StillEmployed,Active,Sales,John Smith,17,Indeed,PIP,1.93,3,0,1/30/2019,6,5 +"Demita, Carla",10100,0,3,0,5,5,3,0,58275,1,20,Production Technician II,MA,02343,02/25/51,F,Separated,US Citizen,No,Black or African American,4/4/2011,11/4/2015,more money,Voluntarily Terminated,Production ,Kelley Spirea,18,Google Search,Fully Meets,4.62,5,0,5/6/2015,0,1 +"Desimone, Carl ",10310,1,1,1,1,5,1,0,53189,0,19,Production Technician I,MA,02061,04/19/67,M ,Married,US Citizen,No,White,7/7/2014,,N/A-StillEmployed,Active,Production ,Amy Dunn,11,Indeed,PIP,1.12,2,0,1/31/2019,4,9 +"DeVito, Tommy",10197,0,0,1,1,3,3,0,96820,0,4,BI Developer,MA,02045,09/04/83,M ,Single,US Citizen,No,White,2/15/2017,,N/A-StillEmployed,Active,IT/IS,Brian Champaigne,13,Indeed,Fully Meets,3.01,5,7,1/23/2019,0,15 +"Dickinson, Geoff ",10276,0,0,1,1,5,3,0,51259,0,19,Production Technician I,MA,02180,11/15/82,M ,Single,US Citizen,No,White,5/12/2014,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Indeed,Fully Meets,4.30,4,0,2/19/2019,0,1 +"Dietrich, Jenna ",10304,0,0,0,1,6,1,0,59231,0,3,Area Sales Manager,WA,98052,05/14/87,F,Single,US Citizen,Yes,White,2/20/2012,,N/A-StillEmployed,Active,Sales,John Smith,17,Website,PIP,2.30,1,0,1/29/2019,2,17 +"DiNocco, Lily ",10284,1,1,0,1,5,2,0,61584,0,19,Production Technician I,MA,02351,12/02/78,F,Married,US Citizen,No,Black or African American,1/7/2013,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Indeed,Needs Improvement,3.88,4,0,1/18/2019,0,6 +"Dobrin, Denisa S",10207,0,0,0,1,5,3,0,46335,0,19,Production Technician I,MA,02125,10/07/86,F,Single,US Citizen,Yes,White,4/2/2012,,N/A-StillEmployed,Active,Production ,David Stanley,14,CareerBuilder,Fully Meets,3.40,5,0,2/19/2019,0,15 +"Dolan, Linda",10133,1,1,0,1,3,3,0,70621,0,14,IT Support,MA,02119,07/18/88,F,Married,US Citizen,No,White,1/5/2015,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,Employee Referral,Fully Meets,4.11,4,6,2/25/2019,0,16 +"Dougall, Eric",10028,0,0,1,1,3,4,0,138888,0,13,IT Manager - Support,MA,01886,07/09/70,M ,Single,US Citizen,No,Black or African American,1/5/2014,,N/A-StillEmployed,Active,IT/IS,Jennifer Zamora,5,Indeed,Exceeds,4.30,5,5,1/4/2019,0,4 +"Driver, Elle",10006,0,0,0,1,6,4,0,74241,0,3,Area Sales Manager,CA,90007,11/08/88,F,Single,US Citizen,No,White,1/10/2011,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Indeed,Exceeds,4.77,5,0,1/27/2019,0,14 +"Dunn, Amy ",10105,0,0,0,1,5,3,0,75188,0,18,Production Manager,MA,01731,11/28/73,F,Single,US Citizen,No,White,9/18/2014,,N/A-StillEmployed,Active,Production ,Janet King,2,Google Search,Fully Meets,4.52,4,0,1/15/2019,0,4 +"Dunne, Amy",10211,1,1,0,1,5,3,0,62514,0,19,Production Technician I,MA,01749,09/23/73,F,Married,US Citizen,No,White,4/26/2010,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Google Search,Fully Meets,2.90,3,0,1/21/2019,0,6 +"Eaton, Marianne",10064,1,1,0,5,5,3,0,60070,1,19,Production Technician I,MA,02343,09/05/91,F,Married,US Citizen,No,White,4/4/2011,6/6/2017,military,Voluntarily Terminated,Production ,Kissy Sullivan,20,Google Search,Fully Meets,5.00,3,0,4/9/2017,0,7 +"Engdahl, Jean",10247,0,0,1,1,5,3,0,48888,0,19,Production Technician I,MA,02026,05/31/74,M ,Single,US Citizen,No,White,11/10/2014,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,LinkedIn,Fully Meets,4.70,5,0,2/13/2019,0,8 +"England, Rex",10235,1,1,1,1,5,3,0,54285,0,19,Production Technician I,MA,02045,08/25/78,M ,Married,US Citizen,No,White,3/31/2014,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,Employee Referral,Fully Meets,4.20,3,0,1/11/2019,0,3 +"Erilus, Angela",10299,0,3,0,1,5,1,0,56847,0,20,Production Technician II,MA,02133,08/25/89,F,Separated,US Citizen,No,White,7/7/2014,,N/A-StillEmployed,Active,Production ,Michael Albert,22,Indeed,PIP,3.00,1,0,2/25/2019,2,5 +"Estremera, Miguel",10280,0,0,1,4,5,2,0,60340,1,19,Production Technician I,MA,02129,09/02/83,M ,Single,US Citizen,No,White,4/2/2012,9/27/2018,attendance,Terminated for Cause,Production ,Michael Albert,22,Google Search,Needs Improvement,5.00,4,0,4/12/2018,5,16 +"Evensen, April",10296,0,0,0,4,5,2,0,59124,1,19,Production Technician I,MA,02458,05/06/89,F,Single,US Citizen,No,White,2/17/2014,2/25/2018,"no-call, no-show",Terminated for Cause,Production ,Elijiah Gray,16,Google Search,Needs Improvement,2.30,3,0,1/15/2017,5,19 +"Exantus, Susan",10290,1,1,0,4,4,2,0,99280,1,24,Software Engineer,MA,01749,05/15/87,F,Married,US Citizen,No,Black or African American,5/2/2011,6/5/2013,attendance,Terminated for Cause,Software Engineering,Alex Sweetwater,10,Indeed,Needs Improvement,2.10,5,4,8/10/2012,4,19 +"Faller, Megan ",10263,1,1,0,1,5,3,0,71776,0,20,Production Technician II,MA,01824,09/22/78,F,Married,US Citizen,No,Black or African American,7/7/2014,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,LinkedIn,Fully Meets,4.40,5,0,2/22/2019,0,17 +"Fancett, Nicole",10136,0,0,0,1,5,3,0,65902,0,20,Production Technician II,MA,02324,09/27/87,F,Single,US Citizen,No,Black or African American,2/17/2014,,N/A-StillEmployed,Active,Production ,Webster Butler,,LinkedIn,Fully Meets,4.00,4,0,1/7/2019,0,7 +"Ferguson, Susan",10189,1,1,0,5,5,3,0,57748,1,19,Production Technician I,MA,02176,04/14/55,F,Married,US Citizen,No,White,11/7/2011,5/17/2016,military,Voluntarily Terminated,Production ,Webster Butler,39,Google Search,Fully Meets,3.13,3,0,2/4/2016,0,16 +"Fernandes, Nilson ",10308,1,1,1,1,5,1,0,64057,0,19,Production Technician I,MA,02132,10/18/89,M ,Married,US Citizen,No,White,5/11/2015,,N/A-StillEmployed,Active,Production ,Amy Dunn,11,Indeed,PIP,1.56,5,0,1/3/2019,6,15 +"Fett, Boba",10309,0,0,1,1,3,1,0,53366,0,15,Network Engineer,MA,02138,06/18/87,M ,Single,US Citizen,No,White,3/30/2015,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,LinkedIn,PIP,1.20,3,6,2/4/2019,3,2 +"Fidelia, Libby",10049,1,1,0,1,5,3,0,58530,0,19,Production Technician I,MA,02155,03/16/81,F,Married,US Citizen,No,White,1/9/2012,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Google Search,Fully Meets,5.00,5,0,1/29/2019,0,19 +"Fitzpatrick, Michael J",10093,0,0,1,5,5,3,0,72609,1,20,Production Technician II,MA,02143,10/01/81,M ,Single,US Citizen,Yes,White,5/16/2011,6/24/2013,hours,Voluntarily Terminated,Production ,Amy Dunn,11,Google Search,Fully Meets,4.76,5,0,4/5/2013,0,20 +"Foreman, Tanya",10163,1,1,0,5,5,3,0,55965,1,20,Production Technician II,MA,02170,11/08/83,F,Married,US Citizen,No,White,4/4/2011,1/9/2013,career change,Voluntarily Terminated,Production ,Ketsia Liebig,19,Google Search,Fully Meets,3.66,3,0,1/7/2012,0,6 +"Forrest, Alex",10305,1,1,1,1,6,3,0,70187,1,3,Area Sales Manager,MA,02330,07/07/75,M ,Married,US Citizen,No,White,9/29/2014,8/19/2018,Fatal attraction,Terminated for Cause,Sales,Lynn Daneault,21,Employee Referral,PIP,2.00,5,0,1/28/2019,4,7 +"Foss, Jason",10015,0,0,1,1,3,4,0,178000,0,12,IT Director,MA,01460,07/05/80,M ,Single,US Citizen,No,Black or African American,4/15/2011,,N/A-StillEmployed,Active,IT/IS,Jennifer Zamora,5,Indeed,Exceeds,5.00,5,5,1/7/2019,0,15 +"Foster-Baker, Amy",10080,1,1,0,1,1,3,0,99351,0,26,Sr. Accountant,MA,02050,04/16/79,F,Married,US Citizen,no,White,1/5/2009,,N/A-StillEmployed,Active,Admin Offices,Board of Directors,9,Other,Fully Meets,5.00,3,2,2/8/2019,0,3 +"Fraval, Maruk ",10258,0,0,1,1,6,3,0,67251,0,3,Area Sales Manager,CT,06050,08/28/63,M ,Single,US Citizen,No,Black or African American,9/6/2011,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,CareerBuilder,Fully Meets,4.30,3,0,1/27/2019,2,7 +"Galia, Lisa",10273,0,0,0,1,3,3,0,65707,0,14,IT Support,CT,06040,07/06/68,F,Single,US Citizen,No,White,5/1/2010,,N/A-StillEmployed,Active,IT/IS,Eric Dougall,6,LinkedIn,Fully Meets,4.70,4,5,2/1/2019,0,1 +"Garcia, Raul",10111,0,0,1,1,5,3,0,52249,0,19,Production Technician I,MA,01905,09/15/85,M ,Single,US Citizen,Yes,White,3/30/2015,,N/A-StillEmployed,Active,Production ,David Stanley,14,Employee Referral,Fully Meets,4.50,3,0,2/18/2019,0,5 +"Gaul, Barbara",10257,0,0,0,1,5,3,0,53171,0,19,Production Technician I,MA,02121,12/02/83,F,Single,US Citizen,Yes,Black or African American,5/16/2011,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,LinkedIn,Fully Meets,4.20,4,0,2/26/2019,0,12 +"Gentry, Mildred",10159,1,1,0,1,5,3,0,51337,0,19,Production Technician I,MA,02145,10/01/90,F,Married,US Citizen,No,Black or African American,3/30/2015,,N/A-StillEmployed,Active,Production ,Michael Albert,22,LinkedIn,Fully Meets,3.73,3,0,1/16/2019,0,19 +"Gerke, Melisa",10122,0,2,0,5,5,3,1,51505,1,19,Production Technician I,MA,02330,05/15/70,F,Divorced,US Citizen,No,Black or African American,11/7/2011,11/15/2016,hours,Voluntarily Terminated,Production ,Elijiah Gray,16,Diversity Job Fair,Fully Meets,4.24,4,0,4/29/2016,0,2 +"Gill, Whitney ",10142,0,4,0,4,6,3,0,59370,1,3,Area Sales Manager,OH,43050,07/10/71,F,Widowed,US Citizen,No,Black or African American,7/7/2014,9/5/2015,attendance,Terminated for Cause,Sales,John Smith,17,CareerBuilder,Fully Meets,3.97,4,0,1/15/2014,0,7 +"Gilles, Alex",10283,1,1,1,5,5,2,1,54933,1,19,Production Technician I,MA,02062,08/09/74,M ,Married,US Citizen,No,Black or African American,4/2/2012,6/25/2015,military,Voluntarily Terminated,Production ,Webster Butler,39,Diversity Job Fair,Needs Improvement,3.97,4,0,1/20/2015,3,15 +"Girifalco, Evelyn",10018,0,0,0,1,5,4,0,57815,0,19,Production Technician I,MA,02451,05/08/80,F,Single,US Citizen,Yes,Two or more races,9/29/2014,,N/A-StillEmployed,Active,Production ,Amy Dunn,11,Indeed,Exceeds,3.90,4,0,2/7/2019,0,3 +"Givens, Myriam",10255,0,0,0,1,6,3,0,61555,0,3,Area Sales Manager,IN,46204,09/22/89,F,Single,US Citizen,No,White,2/16/2015,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Indeed,Fully Meets,4.50,5,0,1/25/2019,0,20 +"Goble, Taisha",10246,0,0,0,4,3,3,0,114800,1,8,Database Administrator,MA,02127,10/23/71,F,Single,US Citizen,No,White,2/16/2015,3/15/2015,"no-call, no-show",Terminated for Cause,IT/IS,Simon Roup,4,Indeed,Fully Meets,4.60,4,4,1/20/2015,0,10 +"Goeth, Amon",10228,1,1,1,1,3,3,0,74679,0,14,IT Support,MA,02135,11/24/89,M ,Married,US Citizen,Yes,White,3/30/2015,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,LinkedIn,Fully Meets,4.30,5,7,1/10/2019,0,20 +"Gold, Shenice ",10243,0,0,0,1,5,3,0,53018,0,19,Production Technician I,MA,02451,06/18/92,F,Single,US Citizen,Yes,White,11/11/2013,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Indeed,Fully Meets,4.30,5,0,2/18/2019,0,7 +"Gonzalez, Cayo",10031,0,2,1,1,5,4,1,59892,0,19,Production Technician I,MA,02108,09/29/69,M ,Divorced,US Citizen,No,Black or African American,7/11/2011,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Diversity Job Fair,Exceeds,4.50,4,0,2/18/2019,0,1 +"Gonzalez, Juan",10300,1,1,1,5,5,1,1,68898,1,20,Production Technician II,MA,02128,10/12/64,M ,Married,US Citizen,No,Black or African American,4/26/2010,5/30/2011,career change,Voluntarily Terminated,Production ,Brannon Miller,12,Diversity Job Fair,PIP,3.00,3,0,3/6/2011,3,10 +"Gonzalez, Maria",10101,0,3,0,1,3,3,0,61242,0,14,IT Support,MA,02472,04/16/81,F,Separated,US Citizen,Yes,White,1/5/2015,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,Employee Referral,Fully Meets,4.61,4,5,1/28/2019,0,11 +"Good, Susan",10237,1,1,0,3,5,3,0,66825,0,20,Production Technician II,MA,01886,05/25/86,F,Married,US Citizen,No,White,5/12/2014,,N/A-StillEmployed,Active,Production ,David Stanley,14,LinkedIn,Fully Meets,4.60,3,0,2/7/2019,0,20 +"Gordon, David",10051,1,1,1,1,5,3,0,48285,0,19,Production Technician I,MA,02169,05/21/79,M ,Married,US Citizen,No,White,7/2/2012,,N/A-StillEmployed,Active,Production ,David Stanley,14,LinkedIn,Fully Meets,5.00,3,0,1/14/2019,0,2 +"Gosciminski, Phylicia ",10218,0,3,0,3,5,3,0,66149,0,20,Production Technician II,MA,01824,12/08/83,F,Separated,US Citizen,No,American Indian or Alaska Native,9/30/2013,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,Google Search,Fully Meets,4.40,5,0,2/21/2019,0,1 +"Goyal, Roxana",10256,1,1,0,3,5,3,0,49256,0,19,Production Technician I,MA,01864,10/09/74,F,Married,US Citizen,No,Asian,8/19/2013,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,LinkedIn,Fully Meets,4.10,5,0,2/15/2019,0,3 +"Gray, Elijiah ",10098,0,2,1,1,5,3,0,62957,0,18,Production Manager,MA,01752,07/11/81,M ,Divorced,US Citizen,No,White,6/2/2015,,N/A-StillEmployed,Active,Production ,Janet King,2,Employee Referral,Fully Meets,4.63,3,0,1/4/2019,0,2 +"Gross, Paula",10059,0,2,0,5,5,3,0,63813,1,19,Production Technician I,MA,02176,05/21/83,F,Divorced,US Citizen,No,White,2/21/2011,1/11/2014,more money,Voluntarily Terminated,Production ,Kelley Spirea,18,CareerBuilder,Fully Meets,5.00,5,0,6/3/2013,0,17 +"Gruber, Hans",10234,1,1,1,1,3,3,0,99020,0,4,BI Developer,MA,02134,06/30/89,M ,Married,US Citizen,No,Black or African American,4/20/2017,,N/A-StillEmployed,Active,IT/IS,Brian Champaigne,13,Indeed,Fully Meets,4.20,5,5,1/28/2019,0,8 +"Guilianno, Mike",10109,0,0,1,5,6,3,0,71707,1,3,Area Sales Manager,TN,37129,02/09/69,M ,Single,US Citizen,No,Two or more races,3/7/2012,10/31/2014,relocation out of area,Voluntarily Terminated,Sales,John Smith,17,LinkedIn,Fully Meets,4.50,5,0,2/1/2013,0,20 +"Handschiegl, Joanne",10125,1,1,0,1,5,3,0,54828,0,19,Production Technician I,MA,02127,03/23/77,F,Married,US Citizen,No,White,11/28/2011,,N/A-StillEmployed,Active,Production ,Michael Albert,22,Google Search,Fully Meets,4.20,4,0,2/22/2019,0,13 +"Hankard, Earnest",10074,0,0,1,1,5,3,0,64246,0,20,Production Technician II,MA,02155,08/10/88,M ,Single,US Citizen,Yes,White,11/11/2013,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,LinkedIn,Fully Meets,5.00,3,0,1/8/2019,0,20 +"Harrington, Christie ",10097,0,0,0,5,5,3,0,52177,1,19,Production Technician I,MA,02324,08/18/52,F,Single,US Citizen,No,White,1/9/2012,12/15/2015,retiring,Voluntarily Terminated,Production ,Webster Butler,39,CareerBuilder,Fully Meets,4.64,4,0,5/2/2015,0,8 +"Harrison, Kara",10007,1,1,0,1,5,4,0,62065,0,19,Production Technician I,MA,01886,05/02/74,F,Married,US Citizen,No,White,5/12/2014,,N/A-StillEmployed,Active,Production ,Amy Dunn,11,CareerBuilder,Exceeds,4.76,4,0,2/15/2019,0,5 +"Heitzman, Anthony",10129,0,0,1,1,5,3,0,46998,0,19,Production Technician I,MA,02149,01/04/84,M ,Single,US Citizen,No,White,8/13/2012,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Google Search,Fully Meets,4.17,4,0,2/11/2019,0,1 +"Hendrickson, Trina",10075,0,0,0,5,5,3,0,68099,1,20,Production Technician II,MA,02021,08/27/72,F,Single,US Citizen,No,White,1/10/2011,6/18/2013,hours,Voluntarily Terminated,Production ,Kelley Spirea,18,CareerBuilder,Fully Meets,5.00,3,0,1/30/2013,0,15 +"Hitchcock, Alfred",10167,1,1,1,1,6,3,0,70545,0,3,Area Sales Manager,NH,03062,09/14/88,M ,Married,US Citizen,No,American Indian or Alaska Native,8/18/2014,,N/A-StillEmployed,Active,Sales,John Smith,17,Indeed,Fully Meets,3.60,5,0,1/30/2019,0,9 +"Homberger, Adrienne J",10195,1,1,0,5,5,3,0,63478,1,20,Production Technician II,MA,02445,02/16/84,F,Married,Non-Citizen,No,White,8/15/2011,4/7/2012,relocation out of area,Voluntarily Terminated,Production ,Michael Albert,30,Indeed,Fully Meets,3.03,5,0,3/5/2012,0,16 +"Horton, Jayne",10112,0,0,0,1,3,3,0,97999,0,8,Database Administrator,MA,02493,02/21/84,F,Single,US Citizen,No,White,3/30/2015,,N/A-StillEmployed,Active,IT/IS,Simon Roup,4,Indeed,Fully Meets,4.48,5,6,1/3/2019,0,4 +"Houlihan, Debra",10272,1,1,0,1,6,3,0,180000,0,11,Director of Sales,RI,02908,03/17/66,F,Married,US Citizen,No,White,5/5/2014,,N/A-StillEmployed,Active,Sales,Janet King,2,LinkedIn,Fully Meets,4.50,4,0,1/21/2019,0,19 +"Howard, Estelle",10182,1,1,0,1,1,3,0,49920,1,2,Administrative Assistant,MA,02170,09/16/85,F,Married,US Citizen,No,Black or African American,2/16/2015,4/15/2015,"no-call, no-show",Terminated for Cause,Admin Offices,Brandon R. LeBlanc,1,Indeed,Fully Meets,3.24,3,4,4/15/2015,0,6 +"Hudson, Jane",10248,0,0,0,1,5,3,0,55425,0,19,Production Technician I,MA,02176,06/10/86,F,Single,US Citizen,No,White,2/20/2012,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,LinkedIn,Fully Meets,4.80,4,0,1/7/2019,0,4 +"Hunts, Julissa",10201,0,0,0,2,5,3,0,69340,0,20,Production Technician II,MA,02021,03/11/84,F,Single,US Citizen,No,White,6/6/2016,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,LinkedIn,Fully Meets,3.00,5,0,1/18/2019,0,4 +"Hutter, Rosalie",10214,0,3,0,2,5,3,0,64995,0,20,Production Technician II,MA,02351,05/07/92,F,Separated,US Citizen,No,White,6/5/2015,,N/A-StillEmployed,Active,Production ,Webster Butler,,Indeed,Fully Meets,4.50,3,0,2/14/2019,0,6 +"Huynh, Ming",10160,0,2,0,5,5,3,0,68182,1,20,Production Technician II,MA,01742,09/22/76,F,Divorced,US Citizen,No,White,2/21/2011,4/1/2013,unhappy,Voluntarily Terminated,Production ,Amy Dunn,11,Google Search,Fully Meets,3.72,3,0,2/1/2013,0,18 +"Immediato, Walter",10289,1,1,1,5,5,2,0,83082,1,18,Production Manager,MA,02128,11/15/76,M ,Married,US Citizen,No,Asian,2/21/2011,9/24/2012,unhappy,Voluntarily Terminated,Production ,Janet King,2,Indeed,Needs Improvement,2.34,2,0,4/12/2012,3,4 +"Ivey, Rose ",10139,0,0,0,1,5,3,0,51908,0,19,Production Technician I,MA,01775,01/28/91,F,Single,US Citizen,No,White,8/19/2013,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Indeed,Fully Meets,3.99,3,0,1/14/2019,0,14 +"Jackson, Maryellen",10227,0,0,0,1,5,3,0,61242,0,19,Production Technician I,MA,02081,09/11/72,F,Single,US Citizen,No,Black or African American,11/5/2012,,N/A-StillEmployed,Active,Production ,David Stanley,14,LinkedIn,Fully Meets,4.10,3,0,1/17/2019,0,7 +"Jacobi, Hannah ",10236,0,2,0,1,5,3,0,45069,0,19,Production Technician I,MA,01778,03/22/66,F,Divorced,US Citizen,No,White,9/30/2013,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,Employee Referral,Fully Meets,4.30,5,0,2/22/2019,0,7 +"Jeannite, Tayana",10009,0,2,0,1,5,4,0,60724,0,20,Production Technician II,MA,01821,11/06/86,F,Divorced,US Citizen,No,American Indian or Alaska Native,7/5/2011,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,LinkedIn,Exceeds,4.60,4,0,2/25/2019,0,11 +"Jhaveri, Sneha ",10060,0,3,0,1,5,3,0,60436,0,19,Production Technician I,MA,02109,04/13/64,F,Separated,US Citizen,No,White,1/6/2014,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,LinkedIn,Fully Meets,5.00,5,0,1/21/2019,0,9 +"Johnson, George",10034,1,1,1,5,5,4,0,46837,1,19,Production Technician I,MA,02445,08/19/59,M ,Married,US Citizen,No,White,11/7/2011,4/29/2018,more money,Voluntarily Terminated,Production ,Michael Albert,22,CareerBuilder,Exceeds,4.70,4,0,2/14/2018,0,9 +"Johnson, Noelle ",10156,1,1,0,3,3,3,0,105700,0,8,Database Administrator,MA,02301,11/07/86,F,Married,US Citizen,No,Asian,1/5/2015,,N/A-StillEmployed,Active,IT/IS,Simon Roup,4,Indeed,Fully Meets,3.75,3,5,2/11/2019,0,2 +"Johnston, Yen",10036,0,0,0,1,5,4,0,63322,0,20,Production Technician II,MA,02128,09/08/69,F,Single,US Citizen,No,White,7/7/2014,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,LinkedIn,Exceeds,4.30,3,0,1/11/2019,0,1 +"Jung, Judy ",10138,1,1,0,5,5,3,0,61154,1,19,Production Technician I,MA,02446,04/17/86,F,Married,US Citizen,No,Black or African American,1/10/2011,4/1/2016,unhappy,Voluntarily Terminated,Production ,Elijiah Gray,16,CareerBuilder,Fully Meets,4.00,4,0,2/3/2016,0,4 +"Kampew, Donysha",10244,0,0,0,5,6,3,0,68999,1,21,Sales Manager,PA,19444,11/11/89,F,Single,US Citizen,No,White,11/7/2011,4/24/2014,maternity leave - did not return,Voluntarily Terminated,Sales,Debra Houlihan,15,Google Search,Fully Meets,4.50,5,0,3/30/2013,0,2 +"Keatts, Kramer ",10192,0,0,1,1,5,3,0,50482,0,19,Production Technician I,MA,01887,01/19/76,M ,Single,US Citizen,No,White,9/30/2013,,N/A-StillEmployed,Active,Production ,Michael Albert,22,Indeed,Fully Meets,3.07,4,0,1/23/2019,0,10 +"Khemmich, Bartholemew",10231,0,0,1,1,6,3,0,65310,0,3,Area Sales Manager,CO,80820,11/27/79,M ,Single,US Citizen,No,White,8/19/2013,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Indeed,Fully Meets,4.30,5,0,1/22/2019,0,13 +"King, Janet",10089,1,1,0,1,2,3,0,250000,0,16,President & CEO,MA,01902,09/21/54,F,Married,US Citizen,Yes,White,7/2/2012,,N/A-StillEmployed,Active,Executive Office,Board of Directors,9,Indeed,Fully Meets,4.83,3,0,1/17/2019,0,10 +"Kinsella, Kathleen ",10166,1,1,0,5,5,3,0,54005,1,19,Production Technician I,MA,02170,12/08/73,F,Married,US Citizen,No,White,9/26/2011,6/4/2015,more money,Voluntarily Terminated,Production ,Webster Butler,39,Google Search,Fully Meets,3.60,5,0,3/1/2015,0,16 +"Kirill, Alexandra ",10170,1,1,0,5,5,3,0,45433,1,19,Production Technician I,MA,02127,10/08/70,F,Married,US Citizen,No,White,9/26/2011,1/9/2014,more money,Voluntarily Terminated,Production ,Amy Dunn,11,Google Search,Fully Meets,3.49,4,0,1/30/2013,0,6 +"Knapp, Bradley J",10208,0,0,1,1,5,3,0,46654,0,19,Production Technician I,MA,01721,11/10/77,M ,Single,US Citizen,No,Black or African American,2/17/2014,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,LinkedIn,Fully Meets,3.10,3,0,2/6/2019,0,3 +"Kretschmer, John",10176,1,1,1,1,5,3,0,63973,0,19,Production Technician I,MA,01801,02/02/80,M ,Married,US Citizen,No,Asian,1/10/2011,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Indeed,Fully Meets,3.38,3,0,1/21/2019,0,17 +"Kreuger, Freddy",10165,0,0,1,1,6,3,1,71339,0,3,Area Sales Manager,NY,10171,02/24/69,M ,Single,US Citizen,Yes,Black or African American,3/7/2011,,N/A-StillEmployed,Active,Sales,John Smith,17,Diversity Job Fair,Fully Meets,3.65,5,0,1/17/2019,0,20 +"Lajiri, Jyoti",10113,1,1,1,3,3,3,0,93206,0,28,Sr. Network Engineer,MA,02169,04/23/86,M ,Married,US Citizen,No,White,11/10/2014,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,Employee Referral,Fully Meets,4.46,5,6,1/7/2019,0,7 +"Landa, Hans",10092,1,1,1,4,5,3,0,82758,1,18,Production Manager,MA,01890,07/01/72,M ,Married,US Citizen,No,White,1/10/2011,12/12/2015,attendance,Terminated for Cause,Production ,Janet King,2,Employee Referral,Fully Meets,4.78,4,0,2/15/2015,0,9 +"Langford, Lindsey",10106,0,2,0,5,5,3,0,66074,1,20,Production Technician II,MA,02090,07/25/79,F,Divorced,US Citizen,No,Asian,1/7/2013,3/31/2014,Another position,Voluntarily Terminated,Production ,David Stanley,14,Indeed,Fully Meets,4.52,3,0,2/20/2014,0,20 +"Langton, Enrico",10052,1,1,1,1,5,3,0,46120,0,19,Production Technician I,MA,02048,12/09/86,M ,Married,US Citizen,No,White,7/9/2012,,N/A-StillEmployed,Active,Production ,David Stanley,14,LinkedIn,Fully Meets,5.00,5,0,2/4/2019,0,13 +"LaRotonda, William ",10038,0,2,1,1,1,3,0,64520,0,1,Accountant I,MA,01460,04/26/84,M ,Divorced,US Citizen,No,Black or African American,1/6/2014,,N/A-StillEmployed,Active,Admin Offices,Brandon R. LeBlanc,1,Website,Fully Meets,5.00,4,4,1/17/2019,0,3 +"Latif, Mohammed",10249,1,1,1,5,5,3,0,61962,1,20,Production Technician II,MA,02126,05/09/84,M ,Married,US Citizen,No,White,4/2/2012,4/15/2013,more money,Voluntarily Terminated,Production ,Kissy Sullivan,20,Google Search,Fully Meets,4.90,3,0,2/20/2013,0,20 +"Le, Binh",10232,0,0,0,1,3,3,0,81584,0,22,Senior BI Developer,MA,01886,06/14/87,F,Single,US Citizen,No,Asian,10/2/2016,,N/A-StillEmployed,Active,IT/IS,Brian Champaigne,13,Indeed,Fully Meets,4.10,5,7,1/8/2019,0,2 +"Leach, Dallas",10087,0,0,0,5,5,3,0,63676,1,19,Production Technician I,MA,01810,01/17/79,F,Single,US Citizen,No,Asian,9/26/2011,8/19/2018,return to school,Voluntarily Terminated,Production ,Kissy Sullivan,20,CareerBuilder,Fully Meets,4.88,3,0,7/2/2017,0,17 +"LeBlanc, Brandon R",10134,1,1,1,1,1,3,0,93046,0,23,Shared Services Manager,MA,01460,06/10/84,M ,Married,US Citizen,No,White,1/5/2016,,N/A-StillEmployed,Active,Admin Offices,Janet King,2,CareerBuilder,Fully Meets,4.10,4,0,1/28/2019,0,20 +"Lecter, Hannibal",10251,1,1,1,1,5,3,0,64738,0,19,Production Technician I,MA,01776,09/02/82,M ,Married,US Citizen,No,Asian,5/14/2012,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Google Search,Fully Meets,4.10,3,0,2/22/2019,0,10 +"Leruth, Giovanni",10103,0,3,1,1,6,3,0,70468,0,3,Area Sales Manager,UT,84111,12/27/88,M ,Separated,US Citizen,No,Black or African American,4/30/2012,,N/A-StillEmployed,Active,Sales,John Smith,17,Website,Fully Meets,4.53,3,0,1/29/2019,0,16 +"Liebig, Ketsia",10017,1,1,0,1,5,4,0,77915,0,18,Production Manager,MA,02110,10/26/81,F,Married,US Citizen,No,White,9/30/2013,,N/A-StillEmployed,Active,Production ,Janet King,2,Website,Exceeds,4.10,3,0,1/21/2019,0,11 +"Linares, Marilyn ",10186,1,1,0,5,5,3,0,52624,1,19,Production Technician I,MA,01886,03/26/81,F,Married,US Citizen,No,White,7/5/2011,9/26/2018,unhappy,Voluntarily Terminated,Production ,Michael Albert,22,Indeed,Fully Meets,3.18,4,0,3/2/2018,0,16 +"Linden, Mathew",10137,1,1,1,3,5,3,0,63450,0,20,Production Technician II,MA,01770,03/19/79,M ,Married,US Citizen,No,White,7/8/2013,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,LinkedIn,Fully Meets,4.00,3,0,2/18/2019,0,7 +"Lindsay, Leonara ",10008,0,0,0,1,3,4,1,51777,0,14,IT Support,CT,06070,10/05/88,F,Single,US Citizen,Yes,Black or African American,1/21/2011,,N/A-StillEmployed,Active,IT/IS,Eric Dougall,6,Diversity Job Fair,Exceeds,4.64,4,5,1/25/2019,0,14 +"Lundy, Susan",10096,0,4,0,5,5,3,0,67237,1,20,Production Technician II,MA,02122,12/26/76,F,Widowed,US Citizen,No,White,7/8/2013,9/15/2016,more money,Voluntarily Terminated,Production ,Michael Albert,22,LinkedIn,Fully Meets,4.65,4,0,6/10/2016,0,15 +"Lunquist, Lisa",10035,0,0,0,1,5,4,0,73330,0,20,Production Technician II,MA,02324,03/28/82,F,Single,US Citizen,No,Black or African American,8/19/2013,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Indeed,Exceeds,4.20,4,0,2/12/2019,0,19 +"Lydon, Allison",10057,1,1,0,3,5,3,0,52057,0,19,Production Technician I,MA,02122,10/22/75,F,Married,US Citizen,No,Black or African American,2/16/2015,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Website,Fully Meets,5.00,3,0,1/23/2019,0,6 +"Lynch, Lindsay",10004,0,0,0,5,5,4,1,47434,1,19,Production Technician I,MA,01844,02/14/73,F,Single,US Citizen,Yes,Black or African American,11/7/2011,11/14/2015,Another position,Voluntarily Terminated,Production ,Webster Butler,39,Diversity Job Fair,Exceeds,5.00,4,0,2/2/2015,0,17 +"MacLennan, Samuel",10191,0,4,1,5,5,3,0,52788,1,19,Production Technician I,MA,01938,11/09/72,M ,Widowed,US Citizen,No,White,9/24/2012,9/26/2017,hours,Voluntarily Terminated,Production ,Amy Dunn,11,Indeed,Fully Meets,3.08,4,0,4/1/2017,0,18 +"Mahoney, Lauren ",10219,0,0,0,1,5,3,0,45395,0,19,Production Technician I,MA,02189,07/07/86,F,Single,US Citizen,No,White,1/6/2014,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,LinkedIn,Fully Meets,4.60,4,0,2/26/2019,0,14 +"Manchester, Robyn",10077,1,1,0,2,5,3,0,62385,0,20,Production Technician II,MA,02324,08/25/76,F,Married,US Citizen,No,White,5/11/2016,,N/A-StillEmployed,Active,Production ,Webster Butler,,LinkedIn,Fully Meets,5.00,3,0,1/21/2019,0,4 +"Mancuso, Karen",10073,1,1,0,5,5,3,0,68407,1,20,Production Technician II,MA,02176,12/10/86,F,Married,US Citizen,No,Two or more races,7/5/2011,8/19/2012,Another position,Voluntarily Terminated,Production ,Amy Dunn,11,LinkedIn,Fully Meets,5.00,4,0,7/2/2012,0,16 +"Mangal, Debbie",10279,1,1,0,1,5,3,0,61349,0,19,Production Technician I,MA,02451,11/07/74,F,Married,US Citizen,No,White,11/11/2013,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,LinkedIn,Fully Meets,4.10,3,0,1/22/2019,0,11 +"Martin, Sandra",10110,0,0,0,1,4,3,0,105688,0,24,Software Engineer,MA,02135,11/07/87,F,Single,US Citizen,No,Asian,11/11/2013,,N/A-StillEmployed,Active,Software Engineering,Alex Sweetwater,10,Google Search,Fully Meets,4.50,5,4,1/14/2019,0,14 +"Maurice, Shana",10053,1,1,0,1,5,3,0,54132,0,19,Production Technician I,MA,02330,11/22/77,F,Married,US Citizen,No,White,5/31/2011,,N/A-StillEmployed,Active,Production ,David Stanley,14,Indeed,Fully Meets,5.00,4,0,1/10/2019,0,8 +"Carthy, B'rigit",10076,0,0,0,1,5,3,0,55315,0,20,Production Technician II,MA,02149,05/21/87,F,Single,US Citizen,No,Black or African American,3/30/2015,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,LinkedIn,Fully Meets,5.00,5,0,2/7/2019,0,16 +"Mckenna, Sandy",10145,1,1,0,1,5,3,0,62810,0,19,Production Technician I,MA,02184,01/07/87,F,Married,US Citizen,No,Black or African American,1/7/2013,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,CareerBuilder,Fully Meets,3.93,3,0,1/30/2019,0,20 +"McKinzie, Jac",10202,1,1,1,2,6,3,0,63291,0,3,Area Sales Manager,TX,78789,07/01/84,M ,Married,US Citizen,No,Two or more races,7/6/2016,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Website,Fully Meets,3.40,4,0,1/29/2019,0,7 +"Meads, Elizabeth",10128,0,0,0,5,5,3,1,62659,1,19,Production Technician I,MA,01760,05/30/68,F,Single,US Citizen,No,Black or African American,4/2/2012,11/11/2016,Another position,Voluntarily Terminated,Production ,Kelley Spirea,18,Diversity Job Fair,Fully Meets,4.18,4,0,2/5/2016,0,17 +"Medeiros, Jennifer",10068,0,0,0,1,5,3,0,55688,0,19,Production Technician I,MA,02346,09/22/76,F,Single,US Citizen,No,White,3/30/2015,,N/A-StillEmployed,Active,Production ,Michael Albert,22,CareerBuilder,Fully Meets,5.00,4,0,1/21/2019,0,10 +"Miller, Brannon",10116,0,0,1,1,5,3,0,83667,0,18,Production Manager,MA,02045,08/10/81,M ,Single,US Citizen,yes,Hispanic,8/16/2012,,N/A-StillEmployed,Active,Production ,Janet King,2,Indeed,Fully Meets,4.37,3,0,1/14/2019,0,2 +"Miller, Ned",10298,0,0,1,5,5,1,0,55800,1,20,Production Technician II,MA,02472,06/29/85,M ,Single,US Citizen,No,White,8/15/2011,9/4/2014,unhappy,Voluntarily Terminated,Production ,Brannon Miller,12,LinkedIn,PIP,3.00,2,0,1/14/2013,6,6 +"Monkfish, Erasumus",10213,1,1,1,1,5,3,0,58207,0,20,Production Technician II,MA,01450,08/17/92,M ,Married,US Citizen,No,White,11/7/2011,,N/A-StillEmployed,Active,Production ,David Stanley,14,LinkedIn,Fully Meets,3.70,3,0,1/8/2019,0,14 +"Monroe, Peter",10288,1,1,1,1,3,2,1,157000,0,13,IT Manager - Infra,MA,02134,10/05/86,M ,Married,Eligible NonCitizen,Yes,Black or African American,2/15/2012,,N/A-StillEmployed,Active,IT/IS,Jennifer Zamora,5,Diversity Job Fair,Needs Improvement,2.39,3,6,2/22/2019,4,13 +"Monterro, Luisa",10025,0,0,0,1,5,4,0,72460,0,20,Production Technician II,MA,02126,04/24/70,F,Single,US Citizen,No,Black or African American,5/13/2013,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,Indeed,Exceeds,4.70,3,0,1/14/2019,0,1 +"Moran, Patrick",10223,0,0,1,3,5,3,1,72106,0,20,Production Technician II,MA,02127,12/03/76,M ,Single,US Citizen,No,Black or African American,1/9/2012,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,Diversity Job Fair,Fully Meets,4.10,4,0,1/31/2019,0,12 +"Morway, Tanya",10151,1,1,0,1,3,3,0,52599,0,15,Network Engineer,MA,02048,04/04/79,F,Married,US Citizen,No,White,2/16/2015,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,CareerBuilder,Fully Meets,3.81,3,6,2/11/2019,0,6 +"Motlagh, Dawn",10254,0,2,0,1,5,3,0,63430,0,19,Production Technician I,MA,02453,07/07/84,F,Divorced,US Citizen,No,White,4/1/2013,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,LinkedIn,Fully Meets,4.40,4,0,1/17/2019,0,18 +"Moumanil, Maliki ",10120,0,3,1,1,5,3,0,74417,0,20,Production Technician II,MA,01460,12/01/74,M ,Separated,US Citizen,No,Black or African American,5/13/2013,,N/A-StillEmployed,Active,Production ,Michael Albert,22,LinkedIn,Fully Meets,4.29,5,0,1/28/2019,0,11 +"Myers, Michael",10216,0,0,1,1,5,3,0,57575,0,19,Production Technician I,MA,01550,04/18/80,M ,Single,US Citizen,No,Asian,7/8/2013,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,LinkedIn,Fully Meets,4.10,4,0,1/22/2019,0,13 +"Navathe, Kurt",10079,0,0,1,1,3,3,0,87921,0,22,Senior BI Developer,MA,02056,04/25/70,M ,Single,US Citizen,No,Asian,2/10/2017,,N/A-StillEmployed,Active,IT/IS,Brian Champaigne,13,Indeed,Fully Meets,5.00,3,6,2/25/2019,0,17 +"Ndzi, Colombui",10215,0,0,1,5,5,3,1,50470,1,19,Production Technician I,MA,02110,05/02/89,M ,Single,US Citizen,No,Black or African American,9/26/2011,4/4/2014,return to school,Voluntarily Terminated,Production ,Webster Butler,39,Diversity Job Fair,Fully Meets,4.30,3,0,3/2/2013,0,19 +"Ndzi, Horia",10185,1,1,1,5,5,3,0,46664,1,19,Production Technician I,MA,02421,03/28/83,M ,Married,US Citizen,No,White,4/1/2013,5/25/2016,more money,Voluntarily Terminated,Production ,Amy Dunn,11,Employee Referral,Fully Meets,3.18,3,0,3/6/2016,0,10 +"Newman, Richard ",10063,1,1,1,3,5,3,0,48495,0,19,Production Technician I,MA,02136,04/08/77,M ,Married,US Citizen,No,White,5/12/2014,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,LinkedIn,Fully Meets,5.00,5,0,2/18/2019,0,11 +"Ngodup, Shari ",10037,0,3,0,1,5,4,1,52984,0,19,Production Technician I,MA,01810,06/03/67,F,Separated,US Citizen,No,Black or African American,4/1/2013,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Diversity Job Fair,Exceeds,4.00,3,0,2/13/2019,0,12 +"Nguyen, Dheepa",10042,0,0,0,1,6,3,0,63695,0,3,Area Sales Manager,GA,30428,03/31/89,F,Single,US Citizen,No,Two or more races,7/8/2013,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Indeed,Fully Meets,5.00,5,0,1/25/2019,0,2 +"Nguyen, Lei-Ming",10206,0,0,0,1,5,3,0,62061,0,19,Production Technician I,MA,02132,07/07/84,F,Single,US Citizen,No,White,7/8/2013,,N/A-StillEmployed,Active,Production ,David Stanley,14,LinkedIn,Fully Meets,3.60,5,0,1/2/2019,0,4 +"Nowlan, Kristie",10104,0,0,0,1,5,3,0,66738,0,20,Production Technician II,MA,01040,11/23/85,F,Single,US Citizen,No,White,11/10/2014,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Indeed,Fully Meets,4.53,5,0,1/16/2019,0,5 +"O'hare, Lynn",10303,0,0,0,4,5,1,0,52674,1,19,Production Technician I,MA,02152,09/30/80,F,Single,US Citizen,No,Two or more races,3/31/2014,5/1/2018,performance,Terminated for Cause,Production ,Kissy Sullivan,20,LinkedIn,PIP,2.33,2,0,3/9/2018,6,3 +"Oliver, Brooke ",10078,1,1,0,5,5,3,0,71966,1,20,Production Technician II,MA,02492,02/11/52,F,Married,US Citizen,No,Asian,5/14/2012,8/19/2013,unhappy,Voluntarily Terminated,Production ,Webster Butler,39,LinkedIn,Fully Meets,5.00,3,0,7/2/2013,0,17 +"Onque, Jasmine",10121,0,0,0,1,6,3,0,63051,0,3,Area Sales Manager,FL,33174,05/11/90,F,Single,US Citizen,Yes,White,9/30/2013,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Indeed,Fully Meets,4.28,3,0,1/25/2019,0,1 +"Osturnka, Adeel",10021,1,1,1,1,5,4,0,47414,0,19,Production Technician I,MA,02478,12/11/76,M ,Married,US Citizen,No,White,9/30/2013,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,LinkedIn,Exceeds,5.00,3,0,2/7/2019,0,13 +"Owad, Clinton",10281,0,0,1,1,5,2,0,53060,0,19,Production Technician I,MA,01760,11/24/79,M ,Single,US Citizen,No,Black or African American,2/17/2014,,N/A-StillEmployed,Active,Production ,Michael Albert,22,LinkedIn,Needs Improvement,4.25,3,0,2/4/2019,4,6 +"Ozark, Travis",10041,0,0,1,1,6,3,0,68829,0,3,Area Sales Manager,NC,27229,05/19/82,M ,Single,US Citizen,No,White,1/5/2015,,N/A-StillEmployed,Active,Sales,John Smith,17,Website,Fully Meets,5.00,5,0,1/14/2019,0,18 +"Panjwani, Nina",10148,1,1,0,5,5,3,0,63515,1,19,Production Technician I,MA,02351,05/01/79,F,Married,US Citizen,No,White,2/7/2011,1/12/2014,Another position,Voluntarily Terminated,Production ,Elijiah Gray,16,Google Search,Fully Meets,3.89,4,0,3/4/2013,0,7 +"Patronick, Lucas",10005,0,0,1,5,4,4,1,108987,1,24,Software Engineer,MA,01844,02/20/79,M ,Single,US Citizen,No,Black or African American,11/7/2011,9/7/2015,Another position,Voluntarily Terminated,Software Engineering,Alex Sweetwater,10,Diversity Job Fair,Exceeds,5.00,5,3,8/16/2015,0,13 +"Pearson, Randall",10259,1,1,1,5,3,3,0,93093,1,9,Data Analyst,MA,02747,09/05/84,M ,Married,US Citizen,No,White,12/1/2014,5/1/2016,performance,Voluntarily Terminated,IT/IS,Simon Roup,4,Employee Referral,Fully Meets,4.70,4,5,1/16/2016,0,19 +"Smith, Martin",10286,0,0,1,5,5,2,0,53564,1,19,Production Technician I,MA,02458,03/17/88,M ,Single,US Citizen,No,Black or African American,1/10/2011,12/28/2017,career change,Voluntarily Terminated,Production ,Webster Butler,39,Google Search,Needs Improvement,3.54,5,0,4/6/2017,4,15 +"Pelletier, Ermine",10297,1,1,0,5,5,2,0,60270,1,20,Production Technician II,MA,02472,07/18/89,F,Married,US Citizen,No,Asian,7/5/2011,9/15/2015,unhappy,Voluntarily Terminated,Production ,Amy Dunn,11,CareerBuilder,Needs Improvement,2.40,5,0,2/6/2015,5,2 +"Perry, Shakira",10171,0,0,0,5,5,3,0,45998,1,19,Production Technician I,MA,02176,07/20/86,F,Single,US Citizen,No,White,5/16/2011,10/25/2015,medical issues,Voluntarily Terminated,Production ,Amy Dunn,11,LinkedIn,Fully Meets,3.45,4,0,5/13/2014,0,5 +"Peters, Lauren",10032,1,1,0,5,5,4,0,57954,1,20,Production Technician II,MA,01886,08/17/86,F,Married,US Citizen,No,White,5/16/2011,2/4/2013,more money,Voluntarily Terminated,Production ,Ketsia Liebig,19,Indeed,Exceeds,4.20,5,0,1/10/2013,0,12 +"Peterson, Ebonee ",10130,1,1,0,5,5,3,0,74669,1,18,Production Manager,MA,02030,05/09/77,F,Married,US Citizen,No,White,10/25/2010,5/18/2016,Another position,Voluntarily Terminated,Production ,Janet King,2,Indeed,Fully Meets,4.16,5,0,3/5/2015,0,6 +"Petingill, Shana ",10217,1,1,0,1,5,3,0,74226,0,20,Production Technician II,MA,02050,03/10/79,F,Married,Eligible NonCitizen,No,Asian,4/2/2012,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,LinkedIn,Fully Meets,4.30,3,0,1/14/2019,0,14 +"Petrowsky, Thelma",10016,1,1,0,1,3,4,0,93554,0,9,Data Analyst,MA,01886,09/16/84,F,Married,US Citizen,No,Black or African American,11/10/2014,,N/A-StillEmployed,Active,IT/IS,Simon Roup,4,Employee Referral,Exceeds,4.60,5,7,1/4/2019,0,16 +"Pham, Hong",10050,1,1,1,5,5,3,0,64724,1,19,Production Technician I,MA,02451,03/06/88,M ,Married,US Citizen,No,Asian,7/5/2011,11/30/2012,more money,Voluntarily Terminated,Production ,Brannon Miller,12,Google Search,Fully Meets,5.00,3,0,2/20/2012,0,13 +"Pitt, Brad ",10164,0,0,1,1,5,3,0,47001,0,19,Production Technician I,MA,02451,11/23/81,M ,Single,US Citizen,No,White,11/5/2007,,N/A-StillEmployed,Active,Production ,David Stanley,14,Google Search,Fully Meets,3.66,3,0,2/25/2019,0,15 +"Potts, Xana",10124,1,1,0,1,6,3,0,61844,0,3,Area Sales Manager,KY,40220,08/29/88,F,Married,US Citizen,No,Black or African American,1/9/2012,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Website,Fully Meets,4.20,5,0,2/1/2019,0,9 +"Power, Morissa",10187,0,2,0,5,5,3,0,46799,1,19,Production Technician I,MA,01742,10/15/84,F,Divorced,Eligible NonCitizen,No,Asian,5/16/2011,6/4/2018,Another position,Voluntarily Terminated,Production ,Kissy Sullivan,20,Google Search,Fully Meets,3.17,4,0,4/2/2018,0,14 +"Punjabhi, Louis ",10225,0,0,1,1,5,3,0,59472,0,19,Production Technician I,MA,02109,06/19/61,M ,Single,US Citizen,No,White,1/6/2014,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,Employee Referral,Fully Meets,4.80,3,0,1/7/2019,0,14 +"Purinton, Janine",10262,0,2,0,5,5,3,0,46430,1,19,Production Technician I,MA,02474,09/22/70,F,Divorced,US Citizen,No,White,9/24/2012,6/18/2013,unhappy,Voluntarily Terminated,Production ,Kissy Sullivan,20,Indeed,Fully Meets,4.50,5,0,4/2/2013,0,16 +"Quinn, Sean",10131,1,1,1,5,1,3,1,83363,1,23,Software Engineer,MA,02045,11/06/84,M ,Married,Eligible NonCitizen,No,Black or African American,2/21/2011,8/15/2015,career change,Voluntarily Terminated,Software Engineering,Janet King,2,Diversity Job Fair,Fully Meets,4.15,4,0,4/19/2014,0,4 +"Rachael, Maggie",10239,1,1,0,1,3,3,0,95920,0,4,BI Developer,MA,02110,05/12/80,F,Married,US Citizen,No,Black or African American,10/2/2016,,N/A-StillEmployed,Active,IT/IS,Brian Champaigne,13,Indeed,Fully Meets,4.40,4,6,2/6/2019,0,10 +"Rarrick, Quinn",10152,0,2,1,5,5,3,0,61729,1,19,Production Technician I,MA,02478,12/31/84,M ,Divorced,US Citizen,No,White,9/26/2011,4/7/2018,more money,Voluntarily Terminated,Production ,Michael Albert,22,Indeed,Fully Meets,3.80,5,0,2/4/2018,0,19 +"Ren, Kylo",10140,1,1,1,1,6,3,0,61809,0,3,Area Sales Manager,ID,83706,10/12/54,M ,Married,US Citizen,No,White,5/12/2014,,N/A-StillEmployed,Active,Sales,John Smith,17,CareerBuilder,Fully Meets,3.98,3,0,1/28/2019,0,4 +"Rhoads, Thomas",10058,0,2,1,5,5,3,0,45115,1,19,Production Technician I,MA,02176,07/22/82,M ,Divorced,US Citizen,Yes,White,5/16/2011,1/15/2016,retiring,Voluntarily Terminated,Production ,Elijiah Gray,16,LinkedIn,Fully Meets,5.00,4,0,3/30/2015,0,11 +"Rivera, Haley ",10011,1,1,0,1,5,4,0,46738,0,19,Production Technician I,MA,02171,01/12/73,F,Married,US Citizen,No,Asian,11/28/2011,,N/A-StillEmployed,Active,Production ,Webster Butler,,Google Search,Exceeds,4.36,5,0,2/11/2019,0,16 +"Roberson, May",10230,0,2,0,5,5,3,0,64971,1,20,Production Technician II,MA,01902,09/05/81,F,Divorced,Eligible NonCitizen,No,Black or African American,9/26/2011,10/22/2011,return to school,Voluntarily Terminated,Production ,David Stanley,14,Google Search,Fully Meets,4.50,4,0,10/22/2011,0,10 +"Robertson, Peter",10224,1,1,1,5,5,3,0,55578,1,20,Production Technician II,MA,02138,07/03/72,M ,Married,US Citizen,No,White,7/5/2011,2/8/2012,Another position,Voluntarily Terminated,Production ,Kissy Sullivan,20,Indeed,Fully Meets,4.20,5,0,1/6/2012,0,13 +"Robinson, Alain ",10047,1,1,1,5,5,3,0,50428,1,19,Production Technician I,MA,01420,01/07/74,M ,Married,US Citizen,No,Black or African American,1/10/2011,1/26/2016,attendance,Voluntarily Terminated,Production ,Amy Dunn,11,Indeed,Fully Meets,5.00,3,0,1/10/2015,0,11 +"Robinson, Cherly",10285,1,1,0,4,5,2,0,61422,1,19,Production Technician I,MA,01460,01/07/85,F,Married,US Citizen,No,White,1/10/2011,5/17/2016,attendance,Terminated for Cause,Production ,Ketsia Liebig,19,Indeed,Needs Improvement,3.60,3,0,4/5/2016,4,16 +"Robinson, Elias",10020,0,4,1,1,5,4,0,63353,0,19,Production Technician I,MA,01730,01/28/85,M ,Widowed,US Citizen,No,White,7/8/2013,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Employee Referral,Exceeds,3.60,5,0,2/11/2019,0,4 +"Roby, Lori ",10162,1,1,0,1,3,3,0,89883,0,9,Data Analyst,MA,01886,10/11/81,F,Married,US Citizen,No,White,2/16/2015,,N/A-StillEmployed,Active,IT/IS,Simon Roup,4,Employee Referral,Fully Meets,3.69,5,6,2/14/2019,0,15 +"Roehrich, Bianca",10149,0,0,0,5,3,3,0,120000,1,29,Principal Data Architect,MA,02703,05/27/73,F,Single,US Citizen,Yes,White,1/5/2015,11/10/2018,Another position,Voluntarily Terminated,IT/IS,Simon Roup,4,LinkedIn,Fully Meets,3.88,3,7,2/13/2018,0,12 +"Roper, Katie",10086,0,0,0,1,3,3,0,150290,0,7,Data Architect,MA,02056,11/21/72,F,Single,US Citizen,No,Black or African American,1/7/2017,,N/A-StillEmployed,Active,IT/IS,Brian Champaigne,13,Indeed,Fully Meets,4.94,3,5,2/6/2019,0,17 +"Rose, Ashley ",10054,0,3,0,1,5,3,0,60627,0,19,Production Technician I,MA,01886,12/05/74,F,Separated,US Citizen,No,White,1/6/2014,,N/A-StillEmployed,Active,Production ,David Stanley,14,Website,Fully Meets,5.00,4,0,1/31/2019,0,8 +"Rossetti, Bruno",10065,0,0,1,5,5,3,0,53180,1,19,Production Technician I,MA,02155,03/18/87,M ,Single,US Citizen,No,White,4/4/2011,8/13/2018,Another position,Voluntarily Terminated,Production ,Kissy Sullivan,20,Google Search,Fully Meets,5.00,5,0,7/2/2018,0,4 +"Roup,Simon",10198,0,0,1,1,3,3,0,140920,0,13,IT Manager - DB,MA,02481,04/05/73,M ,Single,US Citizen,No,White,1/20/2013,,N/A-StillEmployed,Active,IT/IS,Jennifer Zamora,5,Indeed,Fully Meets,3.60,5,7,2/18/2019,0,13 +"Ruiz, Ricardo",10222,0,2,1,5,3,3,1,148999,1,13,IT Manager - DB,MA,01915,01/04/64,M ,Divorced,US Citizen,No,Black or African American,1/9/2012,11/4/2015,hours,Voluntarily Terminated,IT/IS,Jennifer Zamora,5,Diversity Job Fair,Fully Meets,4.30,4,6,1/4/2015,0,8 +"Saada, Adell",10126,1,1,0,1,4,3,0,86214,0,24,Software Engineer,MA,02132,07/24/86,F,Married,US Citizen,No,White,11/5/2012,,N/A-StillEmployed,Active,Software Engineering,Alex Sweetwater,10,Indeed,Fully Meets,4.20,3,6,2/13/2019,0,2 +"Saar-Beckles, Melinda",10295,0,0,0,2,5,2,1,47750,0,19,Production Technician I,MA,01801,06/06/68,F,Single,US Citizen,No,Black or African American,7/4/2016,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,Diversity Job Fair,Needs Improvement,2.60,4,0,2/18/2019,5,4 +"Sadki, Nore ",10260,0,0,1,5,5,3,0,46428,1,19,Production Technician I,MA,02148,12/21/74,M ,Single,US Citizen,No,White,1/5/2009,7/30/2018,relocation out of area,Voluntarily Terminated,Production ,Michael Albert,22,Google Search,Fully Meets,4.60,5,0,2/5/2018,0,7 +"Sahoo, Adil",10233,1,1,1,1,5,3,0,57975,0,20,Production Technician II,MA,02062,04/26/86,M ,Married,US Citizen,No,White,8/30/2010,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,CareerBuilder,Fully Meets,4.10,3,0,1/10/2019,0,13 +"Salter, Jason",10229,0,2,1,5,3,3,0,88527,1,9,Data Analyst ,MA,02452,12/17/87,M ,Divorced,US Citizen,No,Black or African American,1/5/2015,10/31/2015,hours,Voluntarily Terminated,IT/IS,Simon Roup,4,LinkedIn,Fully Meets,4.20,3,5,4/20/2015,0,2 +"Sander, Kamrin",10169,1,1,0,1,5,3,0,56147,0,19,Production Technician I,MA,02154,07/10/88,F,Married,US Citizen,No,Black or African American,9/29/2014,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,LinkedIn,Fully Meets,3.51,3,0,2/18/2019,0,2 +"Sewkumar, Nori",10071,0,0,0,3,5,3,0,50923,0,19,Production Technician I,MA,02191,03/10/75,F,Single,US Citizen,No,Asian,9/30/2013,,N/A-StillEmployed,Active,Production ,Webster Butler,,Google Search,Fully Meets,5.00,5,0,2/6/2019,0,14 +"Shepard, Anita ",10179,1,1,0,1,3,3,0,50750,0,15,Network Engineer,MA,01773,04/14/81,F,Married,US Citizen,No,White,9/30/2014,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,LinkedIn,Fully Meets,3.31,3,6,1/7/2019,0,7 +"Shields, Seffi",10091,1,1,0,1,5,3,0,52087,0,19,Production Technician I,MA,02149,08/24/85,F,Married,US Citizen,No,White,8/19/2013,,N/A-StillEmployed,Active,Production ,Amy Dunn,11,LinkedIn,Fully Meets,4.81,4,0,2/15/2019,0,15 +"Simard, Kramer",10178,1,1,1,1,3,3,0,87826,0,9,Data Analyst,MA,02110,02/08/70,M ,Married,US Citizen,Yes,White,1/5/2015,,N/A-StillEmployed,Active,IT/IS,Simon Roup,4,Employee Referral,Fully Meets,3.32,3,7,1/14/2019,0,16 +"Singh, Nan ",10039,0,0,0,1,1,3,0,51920,0,2,Administrative Assistant,MA,02330,05/19/88,F,Single,US Citizen,No,White,5/1/2015,,N/A-StillEmployed,Active,Admin Offices,Brandon R. LeBlanc,1,Website,Fully Meets,5.00,3,5,1/15/2019,0,2 +"Sloan, Constance",10095,0,0,0,5,5,3,0,63878,1,20,Production Technician II,MA,01851,11/25/87,F,Single,US Citizen,No,White,10/26/2009,4/8/2015,maternity leave - did not return,Voluntarily Terminated,Production ,Michael Albert,22,CareerBuilder,Fully Meets,4.68,4,0,4/2/2015,0,20 +"Smith, Joe",10027,0,0,1,1,5,4,0,60656,0,20,Production Technician II,MA,02045,10/30/63,M ,Single,US Citizen,No,White,9/29/2014,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Indeed,Exceeds,4.30,3,0,1/28/2019,0,4 +"Smith, John",10291,0,2,1,1,6,2,1,72992,0,21,Sales Manager,MA,01886,08/16/84,M ,Divorced,US Citizen,No,Black or African American,5/18/2014,,N/A-StillEmployed,Active,Sales,Debra Houlihan,15,Diversity Job Fair,Needs Improvement,2.40,4,0,1/16/2019,2,16 +"Smith, Leigh Ann",10153,1,1,0,5,1,3,1,55000,1,2,Administrative Assistant,MA,01844,06/14/87,F,Married,US Citizen,No,Black or African American,9/26/2011,9/25/2013,career change,Voluntarily Terminated,Admin Offices,Brandon R. LeBlanc,1,Diversity Job Fair,Fully Meets,3.80,4,4,8/15/2013,0,17 +"Smith, Sade",10157,0,0,0,1,5,3,0,58939,0,19,Production Technician I,MA,02130,02/02/65,F,Single,US Citizen,No,White,11/11/2013,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Employee Referral,Fully Meets,3.73,3,0,1/24/2019,0,16 +"Soto, Julia ",10119,1,1,0,1,3,3,0,66593,0,14,IT Support,MA,02360,03/12/73,F,Married,US Citizen,No,Black or African American,6/10/2011,,N/A-StillEmployed,Active,IT/IS,Eric Dougall,6,LinkedIn,Fully Meets,4.30,3,5,2/8/2019,0,19 +"Soze, Keyser",10180,1,1,1,2,3,3,0,87565,0,28,Sr. Network Engineer,MA,01545,02/09/83,M ,Married,US Citizen,No,Asian,6/30/2016,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,LinkedIn,Fully Meets,3.27,4,5,1/14/2019,0,13 +"Sparks, Taylor ",10302,1,1,0,1,5,1,0,64021,0,19,Production Technician I,MA,02093,07/20/68,F,Married,US Citizen,No,White,2/20/2012,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Indeed,PIP,2.40,2,1,2/25/2019,6,20 +"Spirea, Kelley",10090,1,1,0,1,5,3,0,65714,0,18,Production Manager,MA,02451,09/30/75,F,Married,US Citizen,No,White,10/2/2012,,N/A-StillEmployed,Active,Production ,Janet King,2,LinkedIn,Fully Meets,4.83,5,0,2/14/2019,0,15 +"Squatrito, Kristen",10030,0,2,0,5,5,4,0,62425,1,19,Production Technician I,MA,02359,03/26/73,F,Divorced,US Citizen,No,White,5/13/2013,6/29/2015,unhappy,Voluntarily Terminated,Production ,David Stanley,14,LinkedIn,Exceeds,4.10,4,0,3/2/2015,0,16 +"Stanford,Barbara M",10278,0,2,0,1,5,3,0,47961,0,19,Production Technician I,MA,02050,08/25/82,F,Divorced,US Citizen,No,Two or more races,1/10/2011,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,Google Search,Fully Meets,4.10,4,0,2/7/2019,0,9 +"Stansfield, Norman",10307,1,1,1,1,6,1,0,58273,0,3,Area Sales Manager,NV,89139,05/09/74,M ,Married,US Citizen,No,White,5/12/2014,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Website,PIP,1.81,2,0,1/17/2019,3,5 +"Steans, Tyrone ",10147,0,0,1,1,1,3,0,63003,0,1,Accountant I,MA,02703,09/01/86,M ,Single,US Citizen,No,White,9/29/2014,,N/A-StillEmployed,Active,Admin Offices,Brandon R. LeBlanc,1,Indeed,Fully Meets,3.90,5,5,1/18/2019,0,9 +"Stoica, Rick",10266,1,1,1,1,5,3,0,61355,0,19,Production Technician I,MA,02301,03/14/85,M ,Married,US Citizen,No,Asian,2/17/2014,,N/A-StillEmployed,Active,Production ,Kelley Spirea,18,LinkedIn,Fully Meets,4.70,3,0,1/11/2019,0,4 +"Strong, Caitrin",10241,1,1,0,1,6,3,0,60120,0,3,Area Sales Manager,MT,59102,05/12/89,F,Married,US Citizen,No,Black or African American,9/27/2010,,N/A-StillEmployed,Active,Sales,John Smith,17,Indeed,Fully Meets,4.10,4,0,1/31/2019,0,18 +"Sullivan, Kissy ",10158,1,1,0,1,5,3,0,63682,0,18,Production Manager,MA,01776,03/28/78,F,Married,US Citizen,No,Black or African American,1/8/2009,,N/A-StillEmployed,Active,Production ,Janet King,2,Indeed,Fully Meets,3.73,4,0,1/24/2019,0,12 +"Sullivan, Timothy",10117,1,1,1,1,5,3,0,63025,0,19,Production Technician I,MA,02747,10/07/82,M ,Married,US Citizen,Yes,White,1/5/2015,,N/A-StillEmployed,Active,Production ,Michael Albert,22,Google Search,Fully Meets,4.36,5,0,1/24/2019,0,10 +"Sutwell, Barbara",10209,0,0,0,1,5,3,0,59238,0,19,Production Technician I,MA,02718,08/15/68,F,Single,Eligible NonCitizen,No,Asian,5/14/2012,,N/A-StillEmployed,Active,Production ,Elijiah Gray,16,Indeed,Fully Meets,3.40,5,0,1/31/2019,0,13 +"Szabo, Andrew",10024,0,0,1,1,4,4,0,92989,0,24,Software Engineer,MA,02140,05/06/83,M ,Single,US Citizen,No,White,7/7/2014,,N/A-StillEmployed,Active,Software Engineering,Alex Sweetwater,10,LinkedIn,Exceeds,4.50,5,5,2/18/2019,0,1 +"Tannen, Biff",10173,1,1,1,1,3,3,0,90100,0,4,BI Developer,MA,02134,10/24/87,M ,Married,US Citizen,No,White,4/20/2017,,N/A-StillEmployed,Active,IT/IS,Brian Champaigne,13,Indeed,Fully Meets,3.40,3,6,1/2/2019,0,14 +"Tavares, Desiree ",10221,1,1,0,5,5,3,1,60754,1,19,Production Technician I,MA,01801,04/03/75,F,Married,Non-Citizen,No,Black or African American,4/27/2009,4/1/2013,Another position,Voluntarily Terminated,Production ,Webster Butler,39,Diversity Job Fair,Fully Meets,4.50,5,0,2/15/2012,0,11 +"Tejeda, Lenora ",10146,1,1,0,5,5,3,0,72202,1,20,Production Technician II,MA,02129,05/24/53,F,Married,US Citizen,No,White,5/16/2011,7/8/2017,Another position,Voluntarily Terminated,Production ,Elijiah Gray,16,Google Search,Fully Meets,3.93,3,0,4/18/2017,0,3 +"Terry, Sharlene ",10161,0,0,0,1,6,3,0,58370,0,3,Area Sales Manager,OR,97756,05/07/65,F,Single,US Citizen,No,Black or African American,9/29/2014,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Indeed,Fully Meets,3.69,3,0,1/28/2019,0,18 +"Theamstern, Sophia",10141,0,0,0,5,5,3,0,48413,1,19,Production Technician I,MA,02066,05/09/65,F,Single,US Citizen,No,White,7/5/2011,9/5/2016,return to school,Voluntarily Terminated,Production ,Amy Dunn,11,Indeed,Fully Meets,3.98,4,0,3/2/2016,0,1 +"Thibaud, Kenneth",10268,0,4,1,5,5,3,0,67176,1,20,Production Technician II,MA,02472,09/16/75,M ,Widowed,US Citizen,No,White,6/25/2007,8/30/2010,military,Voluntarily Terminated,Production ,Webster Butler,39,Other,Fully Meets,4.10,4,0,7/14/2010,0,15 +"Tippett, Jeanette",10123,0,2,0,1,5,3,0,56339,0,19,Production Technician I,MA,02093,06/05/67,F,Divorced,US Citizen,No,Black or African American,2/18/2013,,N/A-StillEmployed,Active,Production ,Brannon Miller,12,Indeed,Fully Meets,4.21,5,0,1/14/2019,0,4 +"Torrence, Jack",10013,0,3,1,1,6,4,0,64397,0,3,Area Sales Manager,ND,58782,01/15/68,M ,Separated,US Citizen,No,White,1/9/2006,,N/A-StillEmployed,Active,Sales,Lynn Daneault,21,Indeed,Exceeds,4.10,3,0,1/4/2019,0,6 +"Trang, Mei",10287,0,0,0,1,5,2,0,63025,0,19,Production Technician I,MA,02021,05/16/83,F,Single,US Citizen,No,White,2/17/2014,,N/A-StillEmployed,Active,Production ,David Stanley,14,LinkedIn,Needs Improvement,2.44,5,0,2/11/2019,4,18 +"Tredinnick, Neville ",10044,1,1,1,5,3,3,0,75281,1,15,Network Engineer,MA,01420,05/05/88,M ,Married,US Citizen,No,White,1/5/2015,2/12/2016,medical issues,Voluntarily Terminated,IT/IS,Peter Monroe,7,CareerBuilder,Fully Meets,5.00,3,5,4/15/2015,0,11 +"True, Edward",10102,0,0,1,5,4,3,1,100416,1,24,Software Engineer,MA,02451,06/14/83,M ,Single,Non-Citizen,No,Black or African American,2/18/2013,4/15/2018,medical issues,Voluntarily Terminated,Software Engineering,Alex Sweetwater,10,Diversity Job Fair,Fully Meets,4.60,3,4,2/12/2017,0,9 +"Trzeciak, Cybil",10270,0,0,0,5,5,3,0,74813,1,20,Production Technician II,MA,01778,03/15/85,F,Single,US Citizen,No,White,1/10/2011,7/2/2014,unhappy,Voluntarily Terminated,Production ,Amy Dunn,11,LinkedIn,Fully Meets,4.40,3,0,1/5/2014,0,5 +"Turpin, Jumil",10045,1,1,1,1,3,3,0,76029,0,15,Network Engineer,MA,02343,03/31/69,M ,Married,Eligible NonCitizen,No,White,3/30/2015,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,Employee Referral,Fully Meets,5.00,4,7,1/14/2019,0,8 +"Valentin,Jackie",10205,1,1,0,1,6,3,0,57859,0,3,Area Sales Manager,AZ,85006,05/23/91,F,Married,US Citizen,No,Two or more races,7/5/2011,,N/A-StillEmployed,Active,Sales,John Smith,17,Indeed,Fully Meets,2.81,3,0,1/17/2019,0,16 +"Veera, Abdellah ",10014,0,2,1,5,5,4,0,58523,1,19,Production Technician I,MA,02171,01/31/87,M ,Divorced,US Citizen,No,White,8/13/2012,2/5/2016,maternity leave - did not return,Voluntarily Terminated,Production ,Kissy Sullivan,20,LinkedIn,Exceeds,4.50,5,0,2/1/2016,0,15 +"Vega, Vincent",10144,0,2,1,1,5,3,0,88976,0,17,Production Manager,MA,02169,10/10/68,M ,Divorced,US Citizen,No,White,8/1/2011,,N/A-StillEmployed,Active,Production ,Janet King,2,Employee Referral,Fully Meets,3.93,3,0,2/27/2019,0,19 +"Villanueva, Noah",10253,0,0,1,1,6,3,0,55875,0,3,Area Sales Manager,ME,04063,07/11/89,M ,Single,US Citizen,No,Asian,3/5/2012,,N/A-StillEmployed,Active,Sales,John Smith,17,Website,Fully Meets,4.50,4,0,1/18/2019,0,11 +"Voldemort, Lord",10118,1,1,1,4,3,3,0,113999,1,8,Database Administrator,MA,01960,08/07/86,M ,Married,US Citizen,No,Black or African American,2/16/2015,2/22/2017,"no-call, no-show",Terminated for Cause,IT/IS,Simon Roup,4,Employee Referral,Fully Meets,4.33,3,7,2/15/2017,0,9 +"Volk, Colleen",10022,1,1,0,4,5,4,0,49773,1,19,Production Technician I,MA,02747,06/03/86,F,Married,US Citizen,No,White,9/26/2011,2/8/2016,gross misconduct,Terminated for Cause,Production ,Kelley Spirea,18,Google Search,Exceeds,4.30,5,0,2/1/2015,0,18 +"Von Massenbach, Anna",10183,0,0,0,2,5,3,0,62068,0,19,Production Technician I,MA,02124,04/06/85,F,Single,US Citizen,No,White,7/5/2015,,N/A-StillEmployed,Active,Production ,Michael Albert,22,LinkedIn,Fully Meets,3.21,3,0,1/29/2019,0,7 +"Walker, Roger",10190,0,0,1,1,5,3,0,66541,0,20,Production Technician II,MA,02459,02/10/76,M ,Single,US Citizen,No,Black or African American,8/18/2014,,N/A-StillEmployed,Active,Production ,Ketsia Liebig,19,Employee Referral,Fully Meets,3.11,5,0,2/12/2019,0,4 +"Wallace, Courtney E",10274,1,1,0,5,5,3,1,80512,1,18,Production Manager,MA,02478,11/14/55,F,Married,US Citizen,No,Black or African American,9/26/2011,1/2/2012,Another position,Voluntarily Terminated,Production ,Janet King,2,Diversity Job Fair,Fully Meets,4.50,3,0,1/2/2012,0,5 +"Wallace, Theresa",10293,0,0,0,5,5,2,0,50274,1,19,Production Technician I,MA,01887,08/02/80,F,Single,US Citizen,No,White,8/13/2012,9/1/2015,career change,Voluntarily Terminated,Production ,Elijiah Gray,16,CareerBuilder,Needs Improvement,2.50,3,0,9/5/2014,6,13 +"Wang, Charlie",10172,0,0,1,1,3,3,0,84903,0,22,Senior BI Developer,MA,01887,07/08/81,M ,Single,US Citizen,No,Asian,2/15/2017,,N/A-StillEmployed,Active,IT/IS,Brian Champaigne,13,Indeed,Fully Meets,3.42,4,7,1/4/2019,0,17 +"Warfield, Sarah",10127,0,4,0,1,3,3,0,107226,0,28,Sr. Network Engineer,MA,02453,05/02/78,F,Widowed,US Citizen,No,Asian,3/30/2015,,N/A-StillEmployed,Active,IT/IS,Peter Monroe,7,Employee Referral,Fully Meets,4.20,4,8,2/5/2019,0,7 +"Whittier, Scott",10072,0,0,1,5,5,3,0,58371,1,19,Production Technician I,MA,02030,05/24/87,M ,Single,US Citizen,Yes,White,1/10/2011,5/15/2014,hours,Voluntarily Terminated,Production ,Webster Butler,39,LinkedIn,Fully Meets,5.00,5,0,5/15/2014,0,11 +"Wilber, Barry",10048,1,1,1,5,5,3,0,55140,1,19,Production Technician I,MA,02324,09/09/65,M ,Married,Eligible NonCitizen,No,White,5/16/2011,9/7/2015,unhappy,Voluntarily Terminated,Production ,Amy Dunn,11,Website,Fully Meets,5.00,3,0,2/15/2015,0,7 +"Wilkes, Annie",10204,0,2,0,5,5,3,0,58062,1,19,Production Technician I,MA,01876,07/30/83,F,Divorced,US Citizen,No,White,1/10/2011,5/14/2012,Another position,Voluntarily Terminated,Production ,Ketsia Liebig,19,Google Search,Fully Meets,3.60,5,0,2/6/2011,0,9 +"Williams, Jacquelyn ",10264,0,0,0,5,5,3,1,59728,1,19,Production Technician I,MA,02109,10/02/69,F,Single,US Citizen,Yes,Black or African American,1/9/2012,6/27/2015,relocation out of area,Voluntarily Terminated,Production ,Ketsia Liebig,19,Diversity Job Fair,Fully Meets,4.30,4,0,6/2/2014,0,16 +"Winthrop, Jordan ",10033,0,0,1,5,5,4,0,70507,1,20,Production Technician II,MA,02045,11/07/58,M ,Single,US Citizen,No,White,1/7/2013,2/21/2016,retiring,Voluntarily Terminated,Production ,Brannon Miller,12,LinkedIn,Exceeds,5.00,3,0,1/19/2016,0,7 +"Wolk, Hang T",10174,0,0,0,1,5,3,0,60446,0,20,Production Technician II,MA,02302,04/20/85,F,Single,US Citizen,No,White,9/29/2014,,N/A-StillEmployed,Active,Production ,David Stanley,14,LinkedIn,Fully Meets,3.40,4,0,2/21/2019,0,14 +"Woodson, Jason",10135,0,0,1,1,5,3,0,65893,0,20,Production Technician II,MA,01810,05/11/85,M ,Single,US Citizen,No,White,7/7/2014,,N/A-StillEmployed,Active,Production ,Kissy Sullivan,20,LinkedIn,Fully Meets,4.07,4,0,2/28/2019,0,13 +"Ybarra, Catherine ",10301,0,0,0,5,5,1,0,48513,1,19,Production Technician I,MA,02458,05/04/82,F,Single,US Citizen,No,Asian,9/2/2008,9/29/2015,Another position,Voluntarily Terminated,Production ,Brannon Miller,12,Google Search,PIP,3.20,2,0,9/2/2015,5,4 +"Zamora, Jennifer",10010,0,0,0,1,3,4,0,220450,0,6,CIO,MA,02067,08/30/79,F,Single,US Citizen,No,White,4/10/2010,,N/A-StillEmployed,Active,IT/IS,Janet King,2,Employee Referral,Exceeds,4.60,5,6,2/21/2019,0,16 +"Zhou, Julia",10043,0,0,0,1,3,3,0,89292,0,9,Data Analyst,MA,02148,02/24/79,F,Single,US Citizen,No,White,3/30/2015,,N/A-StillEmployed,Active,IT/IS,Simon Roup,4,Employee Referral,Fully Meets,5.00,3,5,2/1/2019,0,11 +"Zima, Colleen",10271,0,4,0,1,5,3,0,45046,0,19,Production Technician I,MA,01730,08/17/78,F,Widowed,US Citizen,No,Asian,9/29/2014,,N/A-StillEmployed,Active,Production ,David Stanley,14,LinkedIn,Fully Meets,4.50,5,0,1/30/2019,0,2