M4DataVisualization-lab.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p style=\"text-align:center\">\n",
    "    <a href=\"https://skills.network/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDA0321ENSkillsNetwork928-2023-01-01\">\n",
    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/assets/logos/SN_web_lightmode.png\" width=\"200\" alt=\"Skills Network Logo\"  />\n",
    "    </a>\n",
    "</p>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Data Visualization Lab**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Estimated time needed: **45 to 60** minutes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this assignment you will be focusing on the visualization of data.\n",
    "\n",
    "The data set will be presented to you in the form of a RDBMS.\n",
    "\n",
    "You will have to use SQL queries to extract the data.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objectives\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this lab you will perform the following:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-   Visualize the distribution of data.\n",
    "\n",
    "-   Visualize the relationship between two features.\n",
    "\n",
    "-   Visualize composition of data.\n",
    "\n",
    "-   Visualize comparison of data.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demo: How to work with database\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download database file.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2024-06-09 10:28:45--  https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DA0321EN-SkillsNetwork/LargeData/m4_survey_data.sqlite\n",
      "Resolving cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)... 169.63.118.104, 169.63.118.104\n",
      "Connecting to cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)|169.63.118.104|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 36679680 (35M) [application/octet-stream]\n",
      "Saving to: ‘m4_survey_data.sqlite.1’\n",
      "\n",
      "m4_survey_data.sqli 100%[===================>]  34.98M  46.3MB/s    in 0.8s    \n",
      "\n",
      "2024-06-09 10:28:47 (46.3 MB/s) - ‘m4_survey_data.sqlite.1’ saved [36679680/36679680]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DA0321EN-SkillsNetwork/LargeData/m4_survey_data.sqlite"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Connect to the database.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "conn = sqlite3.connect(\"m4_survey_data.sqlite\") # open a database connection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import pandas module.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demo: How to run an sql query\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11398</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   COUNT(*)\n",
       "0     11398"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print how many rows are there in the table named 'master'\n",
    "QUERY = \"\"\"\n",
    "SELECT COUNT(*)\n",
    "FROM master\n",
    "\"\"\"\n",
    "\n",
    "# the read_sql_query runs the sql query and returns the data as a dataframe\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demo: How to list all tables\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Table_Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>EduOther</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DevType</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LastInt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>JobFactors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>WorkPlan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>WorkChallenge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>LanguageWorkedWith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>LanguageDesireNextYear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>DatabaseWorkedWith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>DatabaseDesireNextYear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>PlatformWorkedWith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PlatformDesireNextYear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>WebFrameWorkedWith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>WebFrameDesireNextYear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>MiscTechWorkedWith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>MiscTechDesireNextYear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>DevEnviron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Containers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>SOVisitTo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SONewContent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Gender</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Sexuality</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Ethnicity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>master</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Table_Name\n",
       "0                 EduOther\n",
       "1                  DevType\n",
       "2                  LastInt\n",
       "3               JobFactors\n",
       "4                 WorkPlan\n",
       "5            WorkChallenge\n",
       "6       LanguageWorkedWith\n",
       "7   LanguageDesireNextYear\n",
       "8       DatabaseWorkedWith\n",
       "9   DatabaseDesireNextYear\n",
       "10      PlatformWorkedWith\n",
       "11  PlatformDesireNextYear\n",
       "12      WebFrameWorkedWith\n",
       "13  WebFrameDesireNextYear\n",
       "14      MiscTechWorkedWith\n",
       "15  MiscTechDesireNextYear\n",
       "16              DevEnviron\n",
       "17              Containers\n",
       "18               SOVisitTo\n",
       "19            SONewContent\n",
       "20                  Gender\n",
       "21               Sexuality\n",
       "22               Ethnicity\n",
       "23                  master"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print all the tables names in the database\n",
    "QUERY = \"\"\"\n",
    "SELECT name as Table_Name FROM\n",
    "sqlite_master WHERE\n",
    "type = 'table'\n",
    "\"\"\"\n",
    "# the read_sql_query runs the sql query and returns the data as a dataframe\n",
    "pd.read_sql_query(QUERY,conn)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demo: How to run a group by query\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18.0</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19.0</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20.0</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>21.0</td>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>22.0</td>\n",
       "      <td>406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23.0</td>\n",
       "      <td>581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>24.0</td>\n",
       "      <td>679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>25.0</td>\n",
       "      <td>738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>26.0</td>\n",
       "      <td>720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>27.0</td>\n",
       "      <td>724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>28.0</td>\n",
       "      <td>787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>29.0</td>\n",
       "      <td>697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>30.0</td>\n",
       "      <td>651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>31.0</td>\n",
       "      <td>531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>32.0</td>\n",
       "      <td>489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>33.0</td>\n",
       "      <td>483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>34.0</td>\n",
       "      <td>395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>35.0</td>\n",
       "      <td>393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>36.0</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>37.0</td>\n",
       "      <td>280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>38.0</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>39.0</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>40.0</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>41.0</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>42.0</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>43.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>44.0</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>45.0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>46.0</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>47.0</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>48.0</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>49.0</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>50.0</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>51.0</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>52.0</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>53.0</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>54.0</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>55.0</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>56.0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>57.0</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>58.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>59.0</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>60.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>61.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>62.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>63.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>65.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>66.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>67.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>69.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>71.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>72.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>99.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Age  count\n",
       "0    NaN    287\n",
       "1   16.0      3\n",
       "2   17.0      6\n",
       "3   18.0     29\n",
       "4   19.0     78\n",
       "5   20.0    109\n",
       "6   21.0    203\n",
       "7   22.0    406\n",
       "8   23.0    581\n",
       "9   24.0    679\n",
       "10  25.0    738\n",
       "11  26.0    720\n",
       "12  27.0    724\n",
       "13  28.0    787\n",
       "14  29.0    697\n",
       "15  30.0    651\n",
       "16  31.0    531\n",
       "17  32.0    489\n",
       "18  33.0    483\n",
       "19  34.0    395\n",
       "20  35.0    393\n",
       "21  36.0    308\n",
       "22  37.0    280\n",
       "23  38.0    279\n",
       "24  39.0    232\n",
       "25  40.0    187\n",
       "26  41.0    136\n",
       "27  42.0    162\n",
       "28  43.0    100\n",
       "29  44.0     95\n",
       "30  45.0     85\n",
       "31  46.0     66\n",
       "32  47.0     68\n",
       "33  48.0     64\n",
       "34  49.0     66\n",
       "35  50.0     57\n",
       "36  51.0     29\n",
       "37  52.0     41\n",
       "38  53.0     32\n",
       "39  54.0     26\n",
       "40  55.0     13\n",
       "41  56.0     16\n",
       "42  57.0     11\n",
       "43  58.0     12\n",
       "44  59.0     11\n",
       "45  60.0      2\n",
       "46  61.0     10\n",
       "47  62.0      5\n",
       "48  63.0      7\n",
       "49  65.0      2\n",
       "50  66.0      1\n",
       "51  67.0      1\n",
       "52  69.0      1\n",
       "53  71.0      2\n",
       "54  72.0      1\n",
       "55  99.0      1"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "QUERY = \"\"\"\n",
    "SELECT Age,COUNT(*) as count\n",
    "FROM master\n",
    "group by age\n",
    "order by age\n",
    "\"\"\"\n",
    "pd.read_sql_query(QUERY,conn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demo: How to describe a table\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CREATE TABLE \"master\" (\n",
      "\"index\" INTEGER,\n",
      "  \"Respondent\" INTEGER,\n",
      "  \"MainBranch\" TEXT,\n",
      "  \"Hobbyist\" TEXT,\n",
      "  \"OpenSourcer\" TEXT,\n",
      "  \"OpenSource\" TEXT,\n",
      "  \"Employment\" TEXT,\n",
      "  \"Country\" TEXT,\n",
      "  \"Student\" TEXT,\n",
      "  \"EdLevel\" TEXT,\n",
      "  \"UndergradMajor\" TEXT,\n",
      "  \"OrgSize\" TEXT,\n",
      "  \"YearsCode\" TEXT,\n",
      "  \"Age1stCode\" TEXT,\n",
      "  \"YearsCodePro\" TEXT,\n",
      "  \"CareerSat\" TEXT,\n",
      "  \"JobSat\" TEXT,\n",
      "  \"MgrIdiot\" TEXT,\n",
      "  \"MgrMoney\" TEXT,\n",
      "  \"MgrWant\" TEXT,\n",
      "  \"JobSeek\" TEXT,\n",
      "  \"LastHireDate\" TEXT,\n",
      "  \"FizzBuzz\" TEXT,\n",
      "  \"ResumeUpdate\" TEXT,\n",
      "  \"CurrencySymbol\" TEXT,\n",
      "  \"CurrencyDesc\" TEXT,\n",
      "  \"CompTotal\" REAL,\n",
      "  \"CompFreq\" TEXT,\n",
      "  \"ConvertedComp\" REAL,\n",
      "  \"WorkWeekHrs\" REAL,\n",
      "  \"WorkRemote\" TEXT,\n",
      "  \"WorkLoc\" TEXT,\n",
      "  \"ImpSyn\" TEXT,\n",
      "  \"CodeRev\" TEXT,\n",
      "  \"CodeRevHrs\" REAL,\n",
      "  \"UnitTests\" TEXT,\n",
      "  \"PurchaseHow\" TEXT,\n",
      "  \"PurchaseWhat\" TEXT,\n",
      "  \"OpSys\" TEXT,\n",
      "  \"BlockchainOrg\" TEXT,\n",
      "  \"BlockchainIs\" TEXT,\n",
      "  \"BetterLife\" TEXT,\n",
      "  \"ITperson\" TEXT,\n",
      "  \"OffOn\" TEXT,\n",
      "  \"SocialMedia\" TEXT,\n",
      "  \"Extraversion\" TEXT,\n",
      "  \"ScreenName\" TEXT,\n",
      "  \"SOVisit1st\" TEXT,\n",
      "  \"SOVisitFreq\" TEXT,\n",
      "  \"SOFindAnswer\" TEXT,\n",
      "  \"SOTimeSaved\" TEXT,\n",
      "  \"SOHowMuchTime\" TEXT,\n",
      "  \"SOAccount\" TEXT,\n",
      "  \"SOPartFreq\" TEXT,\n",
      "  \"SOJobs\" TEXT,\n",
      "  \"EntTeams\" TEXT,\n",
      "  \"SOComm\" TEXT,\n",
      "  \"WelcomeChange\" TEXT,\n",
      "  \"Age\" REAL,\n",
      "  \"Trans\" TEXT,\n",
      "  \"Dependents\" TEXT,\n",
      "  \"SurveyLength\" TEXT,\n",
      "  \"SurveyEase\" TEXT\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "table_name = 'master'  # the table you wish to describe\n",
    "\n",
    "QUERY = \"\"\"\n",
    "SELECT sql FROM sqlite_master\n",
    "WHERE name= '{}'\n",
    "\"\"\".format(table_name)\n",
    "\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "print(df.iat[0,0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hands-on Lab\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing distribution of data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histograms\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot a histogram of `ConvertedComp.`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# your code goes here\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "QUERY = \"\"\"\n",
    "SELECT ConvertedComp\n",
    "FROM master\n",
    "\"\"\"\n",
    "\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "df['ConvertedComp'].plot(kind='hist', bins=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Box Plots\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot a box plot of `Age.`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Age\n",
      "0      22.0\n",
      "1      23.0\n",
      "2      28.0\n",
      "3      26.0\n",
      "4      29.0\n",
      "...     ...\n",
      "11393  36.0\n",
      "11394  25.0\n",
      "11395  34.0\n",
      "11396  25.0\n",
      "11397  30.0\n",
      "\n",
      "[11398 rows x 1 columns]\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# your code goes here\n",
    "QUERY = \"\"\"\n",
    "SELECT Age\n",
    "FROM master\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "\n",
    "print(df)\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [15,8]\n",
    "\n",
    "ax = sns.boxplot(data = df, orient = 'h')\n",
    "ax.set_title('Age Distribution', size = 18)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing relationships in data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scatter Plots\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a scatter plot of `Age` and `WorkWeekHrs.`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Age  WorkWeekHrs\n",
      "0      22.0         80.0\n",
      "1      23.0         32.0\n",
      "2      28.0         40.0\n",
      "3      26.0         40.0\n",
      "4      29.0         45.0\n",
      "...     ...          ...\n",
      "11393  36.0         40.0\n",
      "11394  25.0         40.0\n",
      "11395  34.0         40.0\n",
      "11396  25.0         42.5\n",
      "11397  30.0         80.0\n",
      "\n",
      "[11398 rows x 2 columns]\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# your code goes here\n",
    "QUERY = \"\"\"\n",
    "SELECT Age, WorkWeekHrs\n",
    "FROM master\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "print(df)\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [15,8]\n",
    "\n",
    "sns.scatterplot(data = df, x = 'Age', y = 'WorkWeekHrs')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bubble Plots\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a bubble plot of `WorkWeekHrs` and `CodeRevHrs`, use `Age` column as bubble size.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Age  WorkWeekHrs  CodeRevHrs\n",
      "0      22.0         80.0         NaN\n",
      "1      23.0         32.0        12.0\n",
      "2      28.0         40.0         5.0\n",
      "3      26.0         40.0         NaN\n",
      "4      29.0         45.0         5.0\n",
      "...     ...          ...         ...\n",
      "11393  36.0         40.0         NaN\n",
      "11394  25.0         40.0         5.0\n",
      "11395  34.0         40.0         5.0\n",
      "11396  25.0         42.5         2.0\n",
      "11397  30.0         80.0         1.0\n",
      "\n",
      "[11398 rows x 3 columns]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# your code goes here\n",
    "\n",
    "QUERY = \"\"\"\n",
    "SELECT Age, WorkWeekHrs, CodeRevHrs\n",
    "FROM master\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "\n",
    "print(df)\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [15,15]\n",
    "\n",
    "sns.scatterplot(data = df, y = 'WorkWeekHrs', x = 'CodeRevHrs', size = 'Age', alpha = 0.6, sizes=(1, 1000))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing composition of data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>name</th>\n",
       "      <th>tbl_name</th>\n",
       "      <th>rootpage</th>\n",
       "      <th>sql</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>table</td>\n",
       "      <td>EduOther</td>\n",
       "      <td>EduOther</td>\n",
       "      <td>2</td>\n",
       "      <td>CREATE TABLE \"EduOther\" (\\n\"Respondent\" INTEGE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>table</td>\n",
       "      <td>DevType</td>\n",
       "      <td>DevType</td>\n",
       "      <td>741</td>\n",
       "      <td>CREATE TABLE \"DevType\" (\\n\"Respondent\" INTEGER...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>table</td>\n",
       "      <td>LastInt</td>\n",
       "      <td>LastInt</td>\n",
       "      <td>1024</td>\n",
       "      <td>CREATE TABLE \"LastInt\" (\\n\"Respondent\" INTEGER...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>table</td>\n",
       "      <td>JobFactors</td>\n",
       "      <td>JobFactors</td>\n",
       "      <td>1355</td>\n",
       "      <td>CREATE TABLE \"JobFactors\" (\\n\"Respondent\" INTE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>table</td>\n",
       "      <td>WorkPlan</td>\n",
       "      <td>WorkPlan</td>\n",
       "      <td>1808</td>\n",
       "      <td>CREATE TABLE \"WorkPlan\" (\\n\"Respondent\" INTEGE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>table</td>\n",
       "      <td>WorkChallenge</td>\n",
       "      <td>WorkChallenge</td>\n",
       "      <td>2088</td>\n",
       "      <td>CREATE TABLE \"WorkChallenge\" (\\n\"Respondent\" I...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>table</td>\n",
       "      <td>LanguageWorkedWith</td>\n",
       "      <td>LanguageWorkedWith</td>\n",
       "      <td>2378</td>\n",
       "      <td>CREATE TABLE \"LanguageWorkedWith\" (\\n\"Responde...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>table</td>\n",
       "      <td>LanguageDesireNextYear</td>\n",
       "      <td>LanguageDesireNextYear</td>\n",
       "      <td>2638</td>\n",
       "      <td>CREATE TABLE \"LanguageDesireNextYear\" (\\n\"Resp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>table</td>\n",
       "      <td>DatabaseWorkedWith</td>\n",
       "      <td>DatabaseWorkedWith</td>\n",
       "      <td>2877</td>\n",
       "      <td>CREATE TABLE \"DatabaseWorkedWith\" (\\n\"Responde...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>table</td>\n",
       "      <td>DatabaseDesireNextYear</td>\n",
       "      <td>DatabaseDesireNextYear</td>\n",
       "      <td>3028</td>\n",
       "      <td>CREATE TABLE \"DatabaseDesireNextYear\" (\\n\"Resp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>table</td>\n",
       "      <td>PlatformWorkedWith</td>\n",
       "      <td>PlatformWorkedWith</td>\n",
       "      <td>3170</td>\n",
       "      <td>CREATE TABLE \"PlatformWorkedWith\" (\\n\"Responde...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>table</td>\n",
       "      <td>PlatformDesireNextYear</td>\n",
       "      <td>PlatformDesireNextYear</td>\n",
       "      <td>3341</td>\n",
       "      <td>CREATE TABLE \"PlatformDesireNextYear\" (\\n\"Resp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>table</td>\n",
       "      <td>WebFrameWorkedWith</td>\n",
       "      <td>WebFrameWorkedWith</td>\n",
       "      <td>3540</td>\n",
       "      <td>CREATE TABLE \"WebFrameWorkedWith\" (\\n\"Responde...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>table</td>\n",
       "      <td>WebFrameDesireNextYear</td>\n",
       "      <td>WebFrameDesireNextYear</td>\n",
       "      <td>3655</td>\n",
       "      <td>CREATE TABLE \"WebFrameDesireNextYear\" (\\n\"Resp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>table</td>\n",
       "      <td>MiscTechWorkedWith</td>\n",
       "      <td>MiscTechWorkedWith</td>\n",
       "      <td>3769</td>\n",
       "      <td>CREATE TABLE \"MiscTechWorkedWith\" (\\n\"Responde...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>table</td>\n",
       "      <td>MiscTechDesireNextYear</td>\n",
       "      <td>MiscTechDesireNextYear</td>\n",
       "      <td>3853</td>\n",
       "      <td>CREATE TABLE \"MiscTechDesireNextYear\" (\\n\"Resp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>table</td>\n",
       "      <td>DevEnviron</td>\n",
       "      <td>DevEnviron</td>\n",
       "      <td>3977</td>\n",
       "      <td>CREATE TABLE \"DevEnviron\" (\\n\"Respondent\" INTE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>table</td>\n",
       "      <td>Containers</td>\n",
       "      <td>Containers</td>\n",
       "      <td>4152</td>\n",
       "      <td>CREATE TABLE \"Containers\" (\\n\"Respondent\" INTE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>table</td>\n",
       "      <td>SOVisitTo</td>\n",
       "      <td>SOVisitTo</td>\n",
       "      <td>4290</td>\n",
       "      <td>CREATE TABLE \"SOVisitTo\" (\\n\"Respondent\" INTEG...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>table</td>\n",
       "      <td>SONewContent</td>\n",
       "      <td>SONewContent</td>\n",
       "      <td>4581</td>\n",
       "      <td>CREATE TABLE \"SONewContent\" (\\n\"Respondent\" IN...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>table</td>\n",
       "      <td>Gender</td>\n",
       "      <td>Gender</td>\n",
       "      <td>4885</td>\n",
       "      <td>CREATE TABLE \"Gender\" (\\n\"Respondent\" INTEGER,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>table</td>\n",
       "      <td>Sexuality</td>\n",
       "      <td>Sexuality</td>\n",
       "      <td>4924</td>\n",
       "      <td>CREATE TABLE \"Sexuality\" (\\n\"Respondent\" INTEG...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>table</td>\n",
       "      <td>Ethnicity</td>\n",
       "      <td>Ethnicity</td>\n",
       "      <td>5012</td>\n",
       "      <td>CREATE TABLE \"Ethnicity\" (\\n\"Respondent\" INTEG...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>table</td>\n",
       "      <td>master</td>\n",
       "      <td>master</td>\n",
       "      <td>5111</td>\n",
       "      <td>CREATE TABLE \"master\" (\\n\"index\" INTEGER,\\n  \"...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>index</td>\n",
       "      <td>ix_master_index</td>\n",
       "      <td>master</td>\n",
       "      <td>5114</td>\n",
       "      <td>CREATE INDEX \"ix_master_index\"ON \"master\" (\"in...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     type                    name                tbl_name  rootpage  \\\n",
       "0   table                EduOther                EduOther         2   \n",
       "1   table                 DevType                 DevType       741   \n",
       "2   table                 LastInt                 LastInt      1024   \n",
       "3   table              JobFactors              JobFactors      1355   \n",
       "4   table                WorkPlan                WorkPlan      1808   \n",
       "5   table           WorkChallenge           WorkChallenge      2088   \n",
       "6   table      LanguageWorkedWith      LanguageWorkedWith      2378   \n",
       "7   table  LanguageDesireNextYear  LanguageDesireNextYear      2638   \n",
       "8   table      DatabaseWorkedWith      DatabaseWorkedWith      2877   \n",
       "9   table  DatabaseDesireNextYear  DatabaseDesireNextYear      3028   \n",
       "10  table      PlatformWorkedWith      PlatformWorkedWith      3170   \n",
       "11  table  PlatformDesireNextYear  PlatformDesireNextYear      3341   \n",
       "12  table      WebFrameWorkedWith      WebFrameWorkedWith      3540   \n",
       "13  table  WebFrameDesireNextYear  WebFrameDesireNextYear      3655   \n",
       "14  table      MiscTechWorkedWith      MiscTechWorkedWith      3769   \n",
       "15  table  MiscTechDesireNextYear  MiscTechDesireNextYear      3853   \n",
       "16  table              DevEnviron              DevEnviron      3977   \n",
       "17  table              Containers              Containers      4152   \n",
       "18  table               SOVisitTo               SOVisitTo      4290   \n",
       "19  table            SONewContent            SONewContent      4581   \n",
       "20  table                  Gender                  Gender      4885   \n",
       "21  table               Sexuality               Sexuality      4924   \n",
       "22  table               Ethnicity               Ethnicity      5012   \n",
       "23  table                  master                  master      5111   \n",
       "24  index         ix_master_index                  master      5114   \n",
       "\n",
       "                                                  sql  \n",
       "0   CREATE TABLE \"EduOther\" (\\n\"Respondent\" INTEGE...  \n",
       "1   CREATE TABLE \"DevType\" (\\n\"Respondent\" INTEGER...  \n",
       "2   CREATE TABLE \"LastInt\" (\\n\"Respondent\" INTEGER...  \n",
       "3   CREATE TABLE \"JobFactors\" (\\n\"Respondent\" INTE...  \n",
       "4   CREATE TABLE \"WorkPlan\" (\\n\"Respondent\" INTEGE...  \n",
       "5   CREATE TABLE \"WorkChallenge\" (\\n\"Respondent\" I...  \n",
       "6   CREATE TABLE \"LanguageWorkedWith\" (\\n\"Responde...  \n",
       "7   CREATE TABLE \"LanguageDesireNextYear\" (\\n\"Resp...  \n",
       "8   CREATE TABLE \"DatabaseWorkedWith\" (\\n\"Responde...  \n",
       "9   CREATE TABLE \"DatabaseDesireNextYear\" (\\n\"Resp...  \n",
       "10  CREATE TABLE \"PlatformWorkedWith\" (\\n\"Responde...  \n",
       "11  CREATE TABLE \"PlatformDesireNextYear\" (\\n\"Resp...  \n",
       "12  CREATE TABLE \"WebFrameWorkedWith\" (\\n\"Responde...  \n",
       "13  CREATE TABLE \"WebFrameDesireNextYear\" (\\n\"Resp...  \n",
       "14  CREATE TABLE \"MiscTechWorkedWith\" (\\n\"Responde...  \n",
       "15  CREATE TABLE \"MiscTechDesireNextYear\" (\\n\"Resp...  \n",
       "16  CREATE TABLE \"DevEnviron\" (\\n\"Respondent\" INTE...  \n",
       "17  CREATE TABLE \"Containers\" (\\n\"Respondent\" INTE...  \n",
       "18  CREATE TABLE \"SOVisitTo\" (\\n\"Respondent\" INTEG...  \n",
       "19  CREATE TABLE \"SONewContent\" (\\n\"Respondent\" IN...  \n",
       "20  CREATE TABLE \"Gender\" (\\n\"Respondent\" INTEGER,...  \n",
       "21  CREATE TABLE \"Sexuality\" (\\n\"Respondent\" INTEG...  \n",
       "22  CREATE TABLE \"Ethnicity\" (\\n\"Respondent\" INTEG...  \n",
       "23  CREATE TABLE \"master\" (\\n\"index\" INTEGER,\\n  \"...  \n",
       "24  CREATE INDEX \"ix_master_index\"ON \"master\" (\"in...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "QUERY = \"\"\"\n",
    "SELECT *\n",
    "FROM sqlite_master\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pie Charts\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a pie chart of the top 5 databases that respondents wish to learn next year. Label the pie chart with database names. Display percentages of each database on the pie chart.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# your code goes here\n",
    "\n",
    "QUERY = \"\"\"\n",
    "SELECT *, COUNT(*) AS count\n",
    "FROM DatabaseDesireNextYear\n",
    "GROUP BY DatabaseDesireNextYear\n",
    "ORDER BY count DESC\n",
    "LIMIT 5\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "\n",
    "data = df['count']\n",
    "labels = df['DatabaseDesireNextYear']\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [8,8]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.pie(data, labels = labels, autopct='%1.1f%%', explode = (0.1, 0, 0, 0, 0), shadow = True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#In the list of most popular languages respondents wish to learn next year, what is the rank of Python?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Respondent LanguageDesireNextYear  count\n",
      "0           4             JavaScript   6630\n",
      "1           9               HTML/CSS   5328\n",
      "2          20                 Python   5239\n",
      "3           4                    SQL   5012\n",
      "4           9             TypeScript   4088\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "QUERY = \"\"\"\n",
    "SELECT *, COUNT(*) AS count\n",
    "FROM LanguageDesireNextYear\n",
    "GROUP BY LanguageDesireNextYear\n",
    "ORDER BY count DESC\n",
    "LIMIT 5\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "\n",
    "print(df)\n",
    "\n",
    "data = df['count']\n",
    "labels = df['LanguageDesireNextYear']\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [8,8]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.pie(data, labels = labels, autopct='%1.1f%%', explode = (0, 0.1, 0, 0, 0), shadow = True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#How many respondents indicated that they currently work with 'SQL'?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Respondent     LanguageWorkedWith  count\n",
      "0           9             JavaScript   8687\n",
      "1           9               HTML/CSS   7830\n",
      "2           4                    SQL   7106\n",
      "3           9  Bash/Shell/PowerShell   4642\n",
      "4           4                 Python   4542\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "QUERY = \"\"\"\n",
    "SELECT *, COUNT(*) AS count\n",
    "FROM LanguageWorkedWith\n",
    "GROUP BY LanguageWorkedWith\n",
    "ORDER BY count DESC\n",
    "LIMIT 5\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "\n",
    "print(df)\n",
    "\n",
    "data = df['count']\n",
    "labels = df['LanguageWorkedWith']\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [8,8]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.pie(data, labels = labels, autopct='%1.1f%%', explode = (0, 0.1, 0, 0, 0), shadow = True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stacked Charts\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "QUERY=\"\"\"\n",
    "SELECT WorkWeekHrs, CodeRevHrs, Age\n",
    "FROM master\n",
    "WHERE Age BETWEEN 30 AND 35\n",
    "\"\"\"\n",
    "df= pd.read_sql_query(QUERY,conn)\n",
    "\n",
    "df_stack = df.groupby(['Age']).median()\n",
    "df_stack\n",
    "\n",
    "df_stack.plot(kind='bar', figsize=(8,5), stacked=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a stacked chart of median `WorkWeekHrs` and `CodeRevHrs` for the age group 30 to 35.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# your code goes here\n",
    "\n",
    "QUERY = \"\"\"\n",
    "SELECT WorkWeekHrs, CodeRevHrs, Age\n",
    "FROM master\n",
    "WHERE Age BETWEEN 30 AND 35\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "\n",
    "work_week = df['WorkWeekHrs'].quantile(0.5)\n",
    "code_rev = df['CodeRevHrs'].quantile(0.5)\n",
    "\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [8,8]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.bar('Age 30 - 35', work_week, label='WorkWeekHrs')\n",
    "ax.bar('Age 30 - 35', code_rev, bottom=work_week, label='CodeRevHrs')\n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing comparison of data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Line Chart\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the median `ConvertedComp` for all ages from 45 to 60.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0EREREXlJQ4cJRosdapWAsfERSofjcUykiYiIiMgrpP7ocfERCAuy0XcAE2kiIiIi8pJgXQ0uYSJNRERERF5R3hy8M6QBJtJERERE5CXBPEMaYCJNRERERF4iV6STWJEmIiIiInKJKIpyRZo90kRERERELmrsMKHbbINKAMbFsyJNREREROQSqa1jbHwEtJrgTDmD87siIiIiIkWVB3lbB8BEmoiIiIi8INhnSANMpImIiIjICyqcrR2ZQTpDGmAiTURERERewNYOIiIiIqIRcoy+C+4Z0gATaSIiIiLysKZOMzpNVggCkJHARJqIiIiIyCXSIpZ0fQR0GrXC0XgPE2kiIiIi8qhgXw0uYSJNRERERB4lVaQzg/igIcBEmoiIaFAmqw03/X4/bvvrYZQ2diodDlHAKHPOkJ4Y5Im0RukAiIiI/FVhjQFHKloBAPtLPse9Cyfj7gVZQbvumMhTQmGGNMCKNBER0aBKGh1VtTC1ALPVjuf3FGPly5/LyTURXUgUxd4Z0knBXZFmIk1ERDSIUmcifcul4/Hb71+ExCgtius7cfMr+/Hoe4VoN1oUjpDI/7R2W9BhtAIAxgfx6DuAiTQREdGgSpx90VnJ0bjuorH4eOMC3DxnHEQReONgBRZv/Qy7TtQpHCWRf5H6o9P14QgPC97RdwATaSIiokFJBwwnJTveno6P0uK5787Cf985FxMSI1HfbsLdbxzB3W98hTqDUclQifxGqEzsAJhIExERDchis8sHpiYlR/e7bf7kJORvuBI/XpgFjUrArhP1WLT1M7xxoBx2u6hEuER+I1RmSANMpImIiAZU1dINq11ERJgaY2LDL7g9PEyNny2din/eewUuyohDp8mKR/9xAje/sh/F9R0KREzkH1iRJiIiCnHSQcOJSVFQqYRBr5s2Jhbv/Nd8/GrVDERp1Tha2YYVL32O53cXwWix+SpcIr9R7uyRnsBE2rv27t2La6+9Funp6RAEAe+99558m8ViwYMPPoi8vDxERUUhPT0dP/jBD3Du3Ll+92EymXDvvfciKSkJUVFRWLVqFaqrq/td09rairVr10Kv10Ov12Pt2rVoa2vrd01lZSWuvfZaREVFISkpCevXr4fZbO53zfHjx7FgwQJERERg7NixeOKJJyCKfAuPiCgYyQcNU6KHuRJQqwT8cP4E7Nm4AIumpcJiE/Hyv85i+W8/x4GSZm+HSuRX2NrhI11dXZg1axa2bdt2wW3d3d04evQoHn30URw9ehTvvvsuiouLsWrVqn7XbdiwATt27MD27duxb98+dHZ2YuXKlbDZeqsAa9asQUFBAfLz85Gfn4+CggKsXbtWvt1ms2HFihXo6urCvn37sH37drzzzju4//775Wva29uxePFipKen48svv8TLL7+M5557Dlu3bvXCM0NEREqTKtKTRjAHNz0uAq/+YA5+/x8XIyVGh7KmLtzy6kE8+Pdv0NZtHv4OiAJcW7cZhh7HWMhgH30HABD9BABxx44dQ15z+PBhEYBYUVEhiqIotrW1iWFhYeL27dvla2pqakSVSiXm5+eLoiiKJ0+eFAGIBw8elK85cOCACEA8ffq0KIqi+OGHH4oqlUqsqamRr3n77bdFnU4nGgwGURRF8Xe/+52o1+tFo9EoX7NlyxYxPT1dtNvtLn+fBoNBBCDfLxER+aebf/+FmPngB+J7x6rd+vq2brP48LvfiJkPfiBmPviBOOfJ3eI/CmpG9G8GUaA5VtkqZj74gXjpU3uUDmVUXM3XAqpH2mAwQBAExMXFAQCOHDkCi8WCJUuWyNekp6cjNzcX+/fvBwAcOHAAer0ec+fOla+57LLLoNfr+12Tm5uL9PR0+ZqlS5fCZDLhyJEj8jULFiyATqfrd825c+dQXl4+aMwmkwnt7e39PoiIyP9JWw2zkodv7RiIPiIMT92Qh7//aB4mp0SjqdOM9W8fw3++9iWqWro9GSqR3wil/mgggA4bGo1GPPTQQ1izZg1iY2MBAHV1ddBqtYiPj+93bWpqKurq6uRrUlJSLri/lJSUftekpqb2uz0+Ph5arXbIa6Q/S9cMZMuWLXJvtl6vR0ZGxki+bSIiUkBbtxktXY5WDGmGtLsumZCAneuvwMbFU6BVq/DvokYseWEv/vR5Kaw2uyfCJfIb8mpwJtL+w2Kx4Pvf/z7sdjt+97vfDXu9KIoQhN4T1n3/vyevEZ0HDQf6WsmmTZtgMBjkj6qqqmHjJyIiZUnV6DH6cERqNaO+P51GjfVXZ+OjDd/GpRMT0GOx4dc7T+GG3+1HYY1h1PdP5C+k2euZIXDQEAiARNpisWD16tUoKyvDnj175Go0AKSlpcFsNqO1tbXf1zQ0NMjV4rS0NNTX119wv42Njf2uOb+q3NraCovFMuQ1DQ0NAHBBpbovnU6H2NjYfh9EROTf+q4G96Ss5GhsX3cZnr4xD7HhGhyvMeC6//cFNn94Ct1mq0cfi0gJrEj7ESmJPnPmDD7++GMkJib2u33OnDkICwvDnj175M/V1taisLAQ8+fPBwDMmzcPBoMBhw8flq85dOgQDAZDv2sKCwtRW1srX7N7927odDrMmTNHvmbv3r39RuLt3r0b6enpmDBhgse/dyIiUo48sWOUbR0DUakEfP/S8fj4/gVYOXMMbHYRf9xbiqUv7sVnxY0efzwiX2KPtA91dnaioKAABQUFAICysjIUFBSgsrISVqsVN998M7766iu89dZbsNlsqKurQ11dnZzM6vV63HHHHbj//vvxySef4NixY7j11luRl5eHRYsWAQCmTZuGZcuWYd26dTh48CAOHjyIdevWYeXKlcjJyQEALFmyBNOnT8fatWtx7NgxfPLJJ3jggQewbt06uYK8Zs0a6HQ63HbbbSgsLMSOHTuwefNmbNy4ccjWDiIiCjylzor0SEbfjVRKTDi2rbkYf7ntEoyNi0BVSw9++JfD2LD9GJo6TV57XCJvMXRb0NrtGH2XmcjWDq/76quvMHv2bMyePRsAsHHjRsyePRu//OUvUV1djffffx/V1dW46KKLMGbMGPlDmrYBAC+88AKuv/56rF69GpdffjkiIyPxz3/+E2q1Wr7mrbfeQl5eHpYsWYIlS5Zg5syZeOONN+Tb1Wo1du7cifDwcFx++eVYvXo1rr/+ejz33HPyNXq9Hnv27EF1dTUuueQS3HPPPdi4cSM2btzog2eKiIh8aSTLWEbrO1NTsfunV+L2yydCJQDvFZzDoq2f4f++quLSLwooFS2OanRyjA5RutGfLQgEgsj/Sn2qvb0der0eBoOB/dJERH7IarNj2i/zYbGJ+OKh72BsXITPHvvrqjY89O5xnKp1jEqdn5WIzTfkYYIXK+NEnvKPghrct70A35oQj//70XylwxkVV/M1v+6RJiIi8rWq1h5YbCLCw1QYExvu08eelRGH939yOTYtn4rwMBX2lzRj6Yt78f8+PQsLR+WRn5MmdoRKfzTARJqIiKifkgapPzoaKpXvz8CEqVW4e0EWdm24Et/OToLJasezu4pw7cv7cKyydfg7IFKIPLEjhN5BYSJNRETUR2mTM5H2wsSOkchMjMLfbr8UL3xvFhKitDhd14Ebf78fj79/Ap0mjsoj/yPPkA6Rg4YAE2kiIqJ+ekffef+g4XAEQcANs8fh440LcOPFYyGKwGv7y7F462fYc/LCHQlESgq10XcAE2kiIqJ+epex+E8ykBClxdbVF+HNO+ZifEIkag1GrPvbV8gvrB3+i4l8oN1oQXOXYzwxK9JEREQhSqpIe3qroSdckZ2EXRuuxIq8MQCAT041KBwRkUOls60jKVqLmPAwhaPxHSbSRERETm3dZrmqNtFPD0xFaNW4xplIn3EejCRSmnTQMDOE2joAJtJERESyEmc1eow+3K8XSmSnOqrlJQ2dXNpCfiEU+6MBJtJEREQyeTW4H/VHD2RCYhTUKgEdJivq27lOnJRXLs+QDp3+aICJNBERkUyqSE9K8r/+6L60GpV8oOss2zvID1RIrR1+2hLlLUykiYiInEr9cGLHYCY7D0OeaehQOBIiVqSJiIhCXmmT/8yQHo7UJ82KNCmt02RFY4ejxYiHDYmIiEKQ1WaX357OSvH/RHpyilSRZiJNypL+u0mI0kIfETqj7wAm0kRERACAqtYeWGwiwsNUGBMbrnQ4w8pOiQHgmNxBpKRQXA0uYSJNRESE3v7oiUnRUKkEhaMZnjRZpLnLjBbn7GsiJUgzpENt9B3ARJqIiAiAf64GH0qkVoNx8REA2CdNygrVGdIAE2kiIiIAvavBA+GgoaS3T5qTO0g58sSOJLZ2EBERhSQpkQ6UijQAZKdwcgcpryJE14MDTKSJiIgA9G3tCLyKNBNpUkq3uXe7ZqjNkAaYSBMREcHQbUGz88DexADazDbZObmDiTQpRZrYERcZhrhIrcLR+B4TaSIiCnklTY5ENC02HFE6jcLRuE6qSNcajOgwWhSOxn81dBhht4tKhxGUQrmtA2AiTUREJM9izkoJrGRAHxGGlBgdAKDE2eNN/X1+phGXPvUJnt1dpHQoQSlUV4NLmEgTEVHIk1eDJwVOf7REntxRz8kdA/n0dCMAYPvhSlhtdoWjCT6sSBMREYU4aRnLpACa2CGRJ3c0sk96IMXOXzBauy04VNaicDTBp8z5S+jEEBx9BzCRJiIiktsiAmlih0Se3FHPRHogp+t6K/U7j9cqGElw6l0PHni/hHoCE2kiIgppVptdfns6ECvS8uQOVqQv0NxpQlOnSf7zrsI62Hjo0GOMFhtqDUYAobnVEGAiTUREIa66tQcWm4jwMBXS9RFKhzNiUkW6sqUbRotN4Wj8S5GzGj02LgJxkWFo7jLjMNs7PKayxVGNjgnXID4yTOFolMFEmoiIQpq0iGViUjRUKkHhaEYuKVqLuMgwiGLvdkZykNo6pqfHYsn0VADAh2zv8Jje/ugoCELg/bfjCUykiYgopEnJZyC2dQCAIAiY7OztPtPAyR19SQcNp6bFYHneGABA/gm2d3hKqE/sAJhIExFRiCt1LmPJCqCNhufLTnUk0iXccNiPVJHOSYvB5VlJiA3XoLHDhK/K2d7hCaE+QxpgIk1ERCGupME5sSMl8CZ2SLLkijQTaYndLvarSGs1KiyengYA+KiwTsnQggYr0kykiYgoxEkV6UBcxiLJTnVO7mAiLatu7UG32QatWiUnetfkSYl0LVeGe0B5k6MiHaozpAEm0kREFMIM3RY0dZoBABMDtEca6J3cUdbUBQu39wEAipzV6KyUaISpHenOFdlJiNFpUN9uwtHKViXDC3hGiw3nDD0AWJEmIiIKSSXOanRabDiidRqFo3Ffuj4cUVo1rHZRXpAR6orq2gE42jokOo0ai+TpHWzvGI3q1m6IIhCt0yAxSqt0OIphIk1ERCEr0Cd2SARBkHu8z3JyB4D+Bw37Wp7L9g5PkNo6MhMjQ3b0HcBEmoiIQpg0QzoQV4OfT14Vzj5pAL3LWM5PpK+ckoworRq1BiMKqtsUiCw4lDsPGk4I4Gk3nsBEmoiIQlapM5EO9Io00JtIc3IHYLLa5GUhOan9E+nwMDWunuZo7/iIy1ncJifSITz6DmAiTUREIay3tSPwK9LZKZzcISlt7ILVLiImXIMx+vALbpemd3x4vA6iyPYOd0i9+KF80BBgIk1ERCHKarPLVbWsIKpIlzR2hnzvr9TWMTUtZsD+3atyUhCpVaOmrQffVBt8HV5Q6K1IB/5/O6PBRJqIiEJSdWsPLDYR4WEqpOsjlA5n1DLiI6DVqGC02FHT1qN0OIoa7KChJDxMjYVTUwAAHxayvWOkzFY7alodP2MTQniGNMBEmoiIQpS0iGVCYhRUqsCfOqBRqzDJefDrTIhP7pBG353fH93XNbljAAAfHq9le8cIVbV2wy4CkVo1kqN1SoejKCbSREQUkoJhNfj5OLnDobje8f3npMUOes3CqckID1OhqqUHJ861+yq0oNB3NXgoj74DmEgTEVGIkirSWUE0vkue3FEfuol0u9Eit7YMVZGO1GqwMMfZ3sHpHSNS5pwhHeoTOwAm0kREFKJKgmhih0Se3NEYuol0sbM/eow+HPrIsCGvvSaP7R3uqOAMaRkTaSIiCkmlQbSMRSK3dtR3hmxiKB00nDJENVqycGoKdBoVypu7cao2tPvKR6K8mRVpCRNpIiIKOYYeC5o6zQCAiUEw+k4yISkSapWADpMVDR0mpcNRRHF97+i74UTrNFgwJRmAY2U4uaZvj3SoYyJNREQhR6pGp8bqEK3TKByN5+g0amQmOKqEodonPdzou/OtmOlo79jJ9g6XWGx2VEuj75hIM5EmIqLQI/VHB1Nbh6R3ckfotSqIoigvY3E1kf7O1BRo1SqUNnbJ0z5ocNWtPbDZHfPXU2NDe/QdwESaiIhCkFSRnhREbR0SeXJHCI7Aq283wdBjgVoluPxLUkx4GK6ckgSA0ztc0XejYaiPvgOYSBMRUQgqlSZ2JAVfRTo7NXRnSZ92LmKZkBiJ8DC1y1/Xd3oHDa2iSeqP5kFDgIk0ERGFoBJpYkcQLWORTE52jsALwUS696Dh4ItYBnL1tFSEqQWcaejEmfrQa4kZid6JHcH3bo47mEgTEVFIsdlFVDiTgUlBOAc3K8XxPTV3mdHSZVY4Gt8a6UFDiT4iDFdMlto76jweVzAp5wzpfphIExFRSKlu7YbZZodOo8LYuAilw/G4SK1G/r5CrSo90oOGfUntHRyDNzTpl1C2djgwkSYiopAitXVMTIqCShWch6VCsU/aarPLByyHWg0+mMXTU6FRCThd1yH/jFB/VpsdVS1s7eiLiTQREYWU0iAefSeZnCxN7gidft+Klm6YrXZEhKkxPmHk1dK4SC0ud7Z3fMRDhwOqaeuB1S5Cp1EhLTZc6XD8AhNpIiIKKdIM6WAcfScJxYp0kbwaPNrtdxquyUsDwD7pwZT3aesI1ndzRoqJNBERhRR5YkcwV6RTQi+RdvegYV+Lp6dBrRJwsrYd5c4xb9SLq8EvxESaiIhCSmkIVKSlEXi1BiM6jBaFo/GNIucM6ZwRjr7rKyFKi/lZiQCAD3no8ALlTVJ/NA8aSphIExFRyDD0WNDUaQLgOGwYrPSRYUiOcaxvllpZgp203tudg4Z9Lc91Tu9ge8cFOPruQhp3v9Bms2HHjh04deoUBEHA1KlTcf3110OjcfsuiYiIvEpaDZ4aq0NMeJjC0XhXdko0GjtMONvQiYsy4pQOx6t6zDY5yRtNawcALJmRil+8dxzHawyoaulGhhsHF4NV3/Xg5OBW1ltYWIjrrrsOdXV1yMnJAQAUFxcjOTkZ77//PvLy8jwaJBERkScE82rw801Oicb+kuaQmNxxpqEDoggkRmnlSry7kqJ1uGxSIvaXNOPD47W4e0GWh6IMbDa7KI++4wzpXm61dtx5552YMWMGqqurcfToURw9ehRVVVWYOXMm7rrrLk/HSERE5BG9q8GDv6KW7TxwWBICBw49cdCwr+XO5SwfFrK9Q3KurQcWmwitWoUx+uBbZOQutxLpr7/+Glu2bEF8fLz8ufj4eDz11FMoKCjwVGxEREQeFUoV6awUaZZ08CfSvaPvPJNIL52RCkEAvq5qQ3Vrt0fuM9BJbR3jEyOh5ug7mVuJdE5ODurr6y/4fENDAyZPnjzqoIiIiLyhtMmRVAbzxA5Jdoojqaxq6YbRYlM4Gu8qrnck0lM9VJFOiQnHpRMSAAD5rEoD6J0hzYkd/bmVSG/evBnr16/H3//+d1RXV6O6uhp///vfsWHDBvzmN79Be3u7/EFEROQPbHZRHt8VzDOkJUnRWugjwmAXeyvxwcrTrR0AcI3U3sEthwCAiibOkB6IW4cNV65cCQBYvXo1BMFR3hdFEQBw7bXXyn8WBAE2W3D/FkxERIGhurUbZpsdOo0KY+OCv8dTEARkp0Tjq4pWnG3sxPR09+cr+7OWLjMaOxwjDT3V2gEAy3LT8Pg/T+BoZRvOtfUgPQR+ZobCivTA3EqkP/30U0/HQURE5FVSVXZiUlTIrDeeLCXS9cE7ueO0cxFLRkIEonSeG8GbGhuOSzLj8WV5K/IL63D7FRM9dt+BiDOkB+bWT9yCBQs8HQcREZFXhcJq8PPJq8Ibg/fAYbHU1pHq+Yr78twx+LK8FR8V1oZ0Im2zi6iUK9JMpPty+1c3o9GIb775Bg0NDbDb7f1uW7Vq1agDIyIi8qSSEFgNfj4pkT5TH7yJdJGHDxr2tTwvDU98cBJfVbSivt2I1Nhwjz9GIKhrN8JssyNMLWCMPjSfg8G4lUjn5+fjBz/4AZqami64jX3RRETkj6SthqGUSGc7e4bLm7tgsdkRpnZrxoBf88ZBQ8kYfQQuHh+Ho5VtyC+sww/nT/D4YwQC6aBhRnwkNEH4MzQabj0bP/nJT/Dd734XtbW1sNvt/T6YRBMRkT+SKtKh1NqRrg9HpFYNi01ERXPwzUO220W5tcMbFWmA0zsAoIz90YNyK5FuaGjAxo0bkZqa6ul4iIiIPK7daEFTp2Oyw8QQSgYEQejtkw7CxSw1bT3oMtsQpha8luRJWw4Pl7egocPolcfwd9IvYVwNfiG3Eumbb74Z//73vz0cChERkXdIEztSYnSICQ9TOBrfmpwsJdLBN7lD2miYlRzttbaVsXERmJURB1EEdp24cBldKCh3tnbwoOGF3OqR3rZtG7773e/i888/R15eHsLC+r8orV+/3iPBEREReUJJQ+hN7JBMTg3eirQ3Dxr2tSIvDV9XteGj47VYe1mmVx/LH7EiPTi3Eun//u//xq5duxAREYF///vf8lIWwPE2EhNpIiLyJ6G0Gvx8UkX6TBAm0r0HDb27bGZ57hhs/vA0DpY2o6nThKRonVcfz5/Y7aI8QzqU2qJc5db7IL/4xS/wxBNPwGAwoLy8HGVlZfJHaWmpp2MkIiIalVJ59F3oVaSlyR0ljZ2w20WFo/GsIucylpw07/69ZiREIm+sHnYR2B1i7R31HUaYrHZoVEJIbAQdKbcSabPZjO9973tQqTgChYiI/F/vMpbQq6hlxEdAq1bBaLGjpq1H6XA8xmy1y78gebsiDYTu9I7yJkdbx7j4CI6+G4Bbz8gPf/hD/M///I+nYyEiIvI4m11EubPHMxR7pDVqldzSEkx90qVNnbDaRcSEa5DugyUhy3PTAAAHSpvR0mX2+uP5iwpnW0cmDxoOyK0eaZvNhmeeeQa7du3CzJkzLzhsuHXrVo8ER0RENFo1rT0wW+3QalRID9G3prNSonG6rgNnGjqwcGqK0uF4RJG8Gjym31ktb5mQFIXpY2JxsrYde07W4XvfGu/1x/QHZeyPHpJbifTx48cxe/ZsAEBhYWG/23zxw0xEROQqqa1jUlIU1KrQ/DcqOwhnSUsHDad4eWJHXytmjsHJ2nbsPB46iXRFEyd2DMWtRPrTTz/1dBxEREReURKCq8HPJy1lCabJHd7eaDiQ5blpeHZXEfafbUJbtxlxkVqfPbZSpIkdnCE9sFF3jVdXV6OmpsYTsRAREXlcqXOZxKSk0OuPlmSnOJLNsw2dEMXgmNxxuk9rh69MSo7G1LQYWO0i9pwM/ukdoihyhvQw3Eqk7XY7nnjiCej1emRmZmL8+PGIi4vDk08+Cbvd7ukYiYiI3CYvY0kJ3YrahKRIqASgw2hFQ4dJ6XBGrcNokSeQTPXBxI6+Qml6R0OHCT0WG9QqAePimUgPxK1E+pFHHsG2bdvw9NNP49ixYzh69Cg2b96Ml19+GY8++qinYyQiInIbK9KATqOW35oPhj7pYudGw7TYcOgjfbvy/Zo8x/SOfWebYOix+PSxfU1aDT42LgJaDUffDcStZ+X111/Hn/70J/zXf/0XZs6ciVmzZuGee+7Bq6++itdee83DIRIREbmn3WhBo7MCG8o90oBjcgcAnHEmoYFMiYOGkskpMZiSGg2LTcQnp4K7vYNtHcNzK5FuaWnB1KlTL/j81KlT0dLSMuqgiIiIPEFa2JESo0NMuG8rl/5GntzRGAQVaQUOGva1PDc02jvKeNBwWG4l0rNmzcK2bdsu+Py2bdswa9asUQdFRETkCaWc2CGTJ3fUB34ircRBw76kPum9xU3oMAZve4e0jGUCZ0gPyq3xd8888wxWrFiBjz/+GPPmzYMgCNi/fz+qqqrw4YcfejpGIiIit/SuBg/d/miJNLmjJMAr0qIoosjZnpKjUEV6Smo0spKjUNLYhX+dbsB1F41VJA5vk9aDT2Brx6DcqkgvWLAAxcXFuOGGG9DW1oaWlhbceOONKCoqwre//W1Px0hEROQWqbVjEhNpeWpJU6cZrQG84rqhw4S2bgtUQm+V3dcEQZCr0ju/Cc72DsfoO64HH45bFWkASE9Px1NPPeXJWIiIiDyqN5FmIhCp1WBsXARq2npwtrET34pKUDokt0irwSckRSE8TK1YHMtzx+Dlf53Fv4sb0WmyIlrndkrllxo7Tegy26ASgIyECKXD8VsjqkifOXMGt9xyC9rb2y+4zWAwYM2aNSgtLfVYcERERO6y2UX5sNRkVqQBBEefdJHCBw0l08bEYGJSFMxWO/51ukHRWLxBmtiRHhcBnUa5X1j83YgS6WeffRYZGRmIjb1w+Ller0dGRgaeffZZjwVHRETkrprWHpitdmg1KqTHsaIG9JncEcCzpHsPGvp2Ecv5BEHA8lzHTOmPgnB6hzRDmhM7hjaiRHrv3r347ne/O+jtq1evxr/+9a9RB0VERDRaJU2OZHFiYhTUKkHhaPyDXJFuCNxZ0kX1jnfFc9KUf5dB6pP+tKgB3WarwtF4FmdIu2ZEiXRFRQVSUlIGvT0pKQlVVVWjDoqIiGi0uBr8QtmpjuSzJEAr0ja7KLel5Ph4NfhAZqTHYnxCJIwWOz493ah0OB7FGdKuGVEirdfrUVJSMujtZ8+eHbDtg4iIyNe4GvxCk5MdfcXnDEZ0mgKvglrR3AWT1Y7wMBXGJyhfKRUEAcudK8M/LAyu9g7OkHbNiBLpK6+8Ei+//PKgt7/00kscf0dERH6By1gupI8MQ3KMDkBgVqWlg4ZTUmP8pl1nhdTecboBPWabwtF4hiiKqOAMaZeMKJHetGkTPvroI9x88804fPgwDAYDDAYDDh06hJtuugm7du3Cpk2bvBUrERGRy0qco++4jKU/aYLJmQBMpJXeaDiQvLF6jI2LQLfZhs+Kg2N6R0uXGR0mKwQByPCDyr8/G1EiPXv2bPz973/H3r17MW/ePCQkJCAhIQHz58/H559/jv/93//FxRdf7K1YiYiIXNJhtKCxwwSAFenzSX3SgTi5Q6pIK7XRcCCO5SzO9o7jdQpH4xnlzraOMbHhis7qDgQjnh6+cuVKVFRUID8/H2fPnoUoipgyZQqWLFmCyEj+1kJERMqTFrEkx+gQEx6mcDT+ZbI8Ai/wJncUK7wafDDX5I3Bq5+X4ZNT9TBabAGffMqrwdkfPSy31vBERETghhtu8HQsREREHlHi7I/OYjX6ApMDdJa00WKTK6X+lkhflBGHdH04zhmM2FvciCUz0pQOaVS4Gtx1LifSL730kst3un79ereCISIi8oTe1eDsjz6flEhXtnQHVPX0TH0n7CKQEKVFcrRO6XD6EQQBy3LH4C9flOGjwrqAT6TLm3nQ0FUuJ9IvvPBCvz83Njaiu7sbcXFxAIC2tjZERkYiJSWFiTQRESmq1LmMZRLfmr5AcrQO+ogwGHosKGvqwrQxgTG29nSdYxHLlNRoCIJ/TOzoa8XMNPzlizJ8fLIeJqstoNdql7Mi7TKXDxuWlZXJH0899RQuuuginDp1Ci0tLWhpacGpU6dw8cUX48knn/RmvERERMMqaXBO7EhhRfp8giD02XAYOO0dUn/0VD9YxDKQ2RnxSIsNR4fJin1nmpQOx22iKKLMOYN9In8RHdaIpnZIHn30Ubz88svIycmRP5eTk4MXXngBv/jFLzwWHBER0UjZ7KK8lS2Ly1gGlB2AfdKn/XBiR18qlYBluYE/vaOt24IOo2NZjz8svfF3biXStbW1sFgsF3zeZrOhvr5+1EERERG561xbD8xWO7QaFcbGRygdjl8KxMkd/jj67nzXOJez7DlZB7PVrnA07pHaOtJiwxGhDdz2FF9xK5G++uqrsW7dOnz11VcQRREA8NVXX+Huu+/GokWLPBogERHRSJx1TuyYmBjlN9vv/E2gTe5o7TKjwTkXfIofLWM535zMeCTH6NButOKLksBs7+jtj2Y12hVuJdJ/+ctfMHbsWFx66aUIDw+HTqfD3LlzMWbMGPzpT3/ydIxEREQu653Ywf7OwUiJdFlTF6w2/6+cSm0d4+IjEK1za3KvT6hVApY72zs+Ol6rcDTukWZIsz/aNW79NCYnJ+PDDz9EcXExTp8+DVEUMW3aNEyZMsXT8REREY1IqTxDmv3Rg0nXRyBSq0a32YaKlm6/f656Dxr6bzVasjx3DP52oAK7T9bjKZsdYWq3apaK4QzpkRnV3+6ECROQk5ODFStWuJVE7927F9deey3S09MhCALee++9fre/++67WLp0KZKSkiAIAgoKCi64D5PJhHvvvRdJSUmIiorCqlWrUF1d3e+a1tZWrF27Fnq9Hnq9HmvXrkVbW1u/ayorK3HttdciKioKSUlJWL9+Pcxmc79rjh8/jgULFiAiIgJjx47FE088Ibe2EBGRf5CWsbAiPTiVSpCT5zP1/t/e4e8HDfu6dGICkqK1aOu24EBJs9LhjBhnSI+MW4l0d3c37rjjDkRGRmLGjBmorKwE4FjE8vTTT7t8P11dXZg1axa2bds26O2XX375kPe5YcMG7NixA9u3b8e+ffvQ2dmJlStXwmazydesWbMGBQUFyM/PR35+PgoKCrB27Vr5dpvNhhUrVqCrqwv79u3D9u3b8c477+D++++Xr2lvb8fixYuRnp6OL7/8Ei+//DKee+45bN261eXvl4iIvI/LWFwjTe6QfvHwZ0XOGdI5fjr6ri+1SsBS50KWjwoDr71D6pHmenDXuNXasWnTJnz99df497//jWXLlsmfX7RoER577DE89NBDLt3P8uXLsXz58kFvl5Ld8vLyAW83GAz485//jDfeeEM+5Pjmm28iIyMDH3/8MZYuXYpTp04hPz8fBw8exNy5cwEAr776KubNm4eioiLk5ORg9+7dOHnyJKqqqpCeng4AeP7553HbbbfhqaeeQmxsLN566y0YjUa89tpr0Ol0yM3NRXFxMbZu3YqNGzf65XB4IqJQ02G0yIfSWJEemjRj+0y9f0/uEEURxc6qeY4fHzTs65q8MXjrUCV2najHk9fZoQmQ9o62bjPauh1T2XjY0DVu/c2+99572LZtG6644op+CeT06dNRUlLiseCGc+TIEVgsFixZskT+XHp6OnJzc7F//34AwIEDB6DX6+UkGgAuu+wy6PX6ftfk5ubKSTQALF26FCaTCUeOHJGvWbBgAXQ6Xb9rzp07N2iiDzhaT9rb2/t9EBGRd0jV6OQYHWLDwxSOxr/Js6T9vCJd09aDTpMVYWohYH45mjsxAQlRWrR0mXGorEXpcFwiiiLeOVoDAEiJ0SFS67+HOv2JW4l0Y2MjUlJSLvh8V1eXTyuzdXV10Gq1iI+P7/f51NRU1NXVydcMFGtKSkq/a1JTU/vdHh8fD61WO+Q10p+lawayZcsWuTdbr9cjIyNjhN8lERG5iqvBXdd3BJ7d7r/nfaT50VnJ0QFzcE+jVmHpDEeOsDMApneUNnbillcP4skPTgIArp6WOsxXkMStn8hvfetb2Llzp/xnKXmWWiaUJopiv4R+oOTeE9dIBw2H+uVh06ZNMBgM8kdVVZXr3wgREY0IV4O7bnxCJLRqFYwWO2raepQOZ1CBdNCwr+W5juUsuwrrYPPTX1TMVju2/esMlv32cxwsbUF4mAqblk/FE9fNUDq0gOFW3X7Lli1YtmwZTp48CavVit/+9rc4ceIEDhw4gM8++8zTMQ4qLS0NZrMZra2t/arSDQ0NmD9/vnzNQNsWGxsb5YpyWloaDh061O/21tZWWCyWftecX3luaGgAgAsq1X3pdLp+7SBEROQ9rEi7TqNWYWJSFIrqO3C2oRMZfroOWqpI+/MiloHMy0pEXGQYmrvMOFzWgnlZiUqH1M+RilY8/O5xFDl75L+dnYSnrs/DePZGj4hbFen58+fjiy++QHd3N7KysrB7926kpqbiwIEDmDNnjqdjHNScOXMQFhaGPXv2yJ+rra1FYWGhnEjPmzcPBoMBhw8flq85dOgQDAZDv2sKCwtRW9v79svu3buh0+nk72fevHnYu3dvv5F4u3fvRnp6OiZMmODNb5OIiFwk9Uj7+1xkfzE51f83HEqJdCDMkO4rTK3CkumOQtuHftTe0WG04Jf/KMTNr+xHUX0HEqK0ePF7F+Fvt1/KJNoNbneS5+Xl4fXXXx/Vg3d2duLs2bPyn8vKylBQUICEhASMHz8eLS0tqKysxLlz5wAARUVFABzV4bS0NOj1etxxxx24//77kZiYiISEBDzwwAPIy8uTp3hMmzYNy5Ytw7p16/CHP/wBAHDXXXdh5cqVyMnJAQAsWbIE06dPx9q1a/Hss8+ipaUFDzzwANatW4fYWMeonTVr1uBXv/oVbrvtNjz88MM4c+YMNm/ejF/+8pec2EFE5AdsdhGlTUykR2KyNEu6wT8nd5itdnk8X6C1dgDA8rwx+N+vqpF/og6Pr5qh+Mr6XSfq8Ng/TqCu3QgAuOnicXhkxTQkRGkVjSuQuVWRVqvVcltDX83NzVCr1S7fz1dffYXZs2dj9uzZAICNGzdi9uzZ+OUvfwkAeP/99zF79mysWLECAPD9738fs2fPxiuvvCLfxwsvvIDrr78eq1evxuWXX47IyEj885//7BfHW2+9hby8PCxZsgRLlizBzJkz8cYbb/T7fnbu3Inw8HBcfvnlWL16Na6//no899xz8jV6vR579uxBdXU1LrnkEtxzzz3YuHEjNm7c6PL3S0RE3nOurQdmqx1ajQpj4yOUDicgZPt5RbqsqQtWu4gYnQZj4wLv7/TyrCTEhmvQ2GHCkYpWxeKoMxhx9xtf4e43jqCu3YjMxEi8dedcPL96FpPoUXKrIj3YNj+TyQSt1vW/kKuuumrIzYC33XYbbrvttiHvIzw8HC+//DJefvnlQa9JSEjAm2++OeT9jB8/Hh988MGQ1+Tl5WHv3r1DXkNERMqQKpcTEiMVr/wFCmlyx5mGzgsO2PuD085FLFPSYvwuNldoNSosnp6Gd45W48Pjtbh0YoJPH99uF/HW4Uo889FpdJisUKsE3HXlJNx3dTbCw1wvfNLgRpRIv/TSSwAcUyr+9Kc/ITq6960zm82GvXv3YurUqZ6NkIiIyAUl7I8esYlJUVAJQIfRisYOE1Jiw5UOqZ9APWjY1zV5jkT6o8Ja/HLldKh89EtecX0HNr17XK6Ez8qIw9M35mHaGP/fDhlIRpRIv/DCCwAcFelXXnmlX/uEVqvFhAkT+rVdEBER+UqpsyIdKEs7/IFOo0ZmYhTKmrpwpqHT7xLp4vrAPGjY1xXZSYjRaVDfbsKxqlbMyfRuVdposeH/fXoWr3xWAotNRJRWjZ8tzcHaeRP4To0XjCiRLisrAwAsXLgQO3bsQFxcnDdiIiIiGjFpYsekJFakR2JySjTKmrpwtqETl09OUjqcfgJ1hnRfOo0ai6anYsexGuz8ps6rifTB0mY8/O5x+dDtomkpeOK6XKQHYH95oBjxYUOLxYKKigp5kgYREZE/kHqkuYxlZHr7pP1rckenyYrqVseimJwAbu0AgGvyHMtZPiqs9coWybZuMx78+zf4/h8PorSpC8kxOvzuPy7Gqz+4hEm0l434sGFYWBhMJlNANv0TEVFw6jBa0NBhAsDWjpHKTvHPyR1Sf3RKjA7xAT5Z4tvZSYjSqlFrMOLr6jbMHh8//Be5QBRFfPBNLX71zxNo6nTsuVgzdzweXDYV+ogwjzwGDc2t8Xf33nsvfvOb38BqtXo6HiIiohErc76VnRStQ2w4E4iRmOynibTUHx3IbR2S8DA1rp7m2eUs1a3duP21L3Hv28fQ1GlGVnIU/vfuedh8Qx6TaB9ya/zdoUOH8Mknn2D37t3Iy8tDVFT/3/7fffddjwRHRETkCrmtg9XoEZOmnDR1mtHaZfab6m+gbjQczDV5Y/D+1+fw4fE6PHzNNLff2bfa7Hhtfzme312MHosNWrUK9yzMwn9dlQWdhiPtfM2tRDouLg433XSTp2MhIiJyi3zQkKPvRizKueykpq0HZxs78a0o3846How0QzonLTjGtV2Vk4xIrRo1bT34ptqAWRlxI76PwhoDNr17HMdrDACASyckYPONuZicEhy/bAQitxLpv/71r56Og4iIyG2l8gxpVqTdMTkl2pFIN3TiWxOUT6RFUZQr0oF+0FASHqbGwqkp2PlNLT4srB1RIt1jtuHFj4vxp31lsNlFxIRr8PA10/C9SzJ8NpeaBuZWjzQAWK1WfPzxx/jDH/6Ajg7HD/u5c+fQ2elfPVZERBT8els7WJF2hzy5o94//g1v7DChtdsCldC7xjwYrJCmdxyvG3Kzc197ixux5MXP8Ie9pbDZRayYOQafbFyAWy4dzyTaD7hVka6oqMCyZctQWVkJk8mExYsXIyYmBs888wyMRiOXshARkc/Y7aJ82JATO9wjT+5o9I9Eush50HBCYlRQrbK+KicZ4WEqVLZ048S5duSO1Q96bXOnCb/eeQo7jtUAANL14Xjiulwsmp7qq3DJBW5VpO+77z5ccsklaG1tRURE73zCG264AZ988onHgiMiIhpOTVsPTFY7tGoVxsVHKh1OQJInd9T7xyzpoiBYxDKQSK0GC3NSAAw+vUMURfz9SDWu3voZdhyrgSAA/3n5BOzeuIBJtB9yqyK9b98+fPHFF9Bq+5/szczMRE1NjUcCIyIicoXU1jEhKZIrkN0kJdLnDEZ0mqyI1rmVHnhMMGw0HMw1eWPwUWEdPjxei58tzek3vaO8qQsP7ziO/SXNABwTS56+aSYucuNgIvmGW/+l2O122Gy2Cz5fXV2NmJjg+6EnIiL/xdXgoxcXqUVStA5NnSaUNHS6NVHCk4LtoGFf35maAp1GhfLmbpyq7cD09FhYbHa8+nkpfvvxGZisdug0KmxYNAV3fnsiwtRuH2cjH3Drb2fx4sV48cUX5T8LgoDOzk489thjuOaaazwVGxER0bB6V4OzP3o0/GXDoc0uyuvKg7EiHaXT4KqcZACOleHHKltx7cv78Ex+EUxWO66YnITdP70S/3VVFpPoAOBWRfqFF17AwoULMX36dBiNRqxZswZnzpxBUlIS3n77bU/HSERENChWpD1jcko0DpQ244zCiXRlSzeMFjvCw1TITAzOX46uyRuDXSfq8dcvyrHt07MQRSA+MgyPrpyOG2aPdXtZC/meW4l0eno6CgoK8Pbbb+Po0aOw2+2444478B//8R/9Dh8SERF5W2mTI/HjxI7RkcbMKV2RLnIuYslOiQnanvfvTE2BVqNCp8kKALhx9lg8smIaEqN1CkdGI+VWIt3d3Y3IyEjcfvvtuP322z0dExERkUs6jBbUt5sAcKvhaE1OlhJpZSd3SAcNpwRhf7QkJjwMP100BZ8WNeDe70zGt7OTlQ6J3ORW801KSgpuvfVW7Nq1C3a73dMxERERuUSaH50UrYM+IkzhaALbZGdF2tFaceFAAV+RDhpODcL+6L7+66os/O/d85hEBzi3Eum//e1vMJlMuOGGG5Ceno777rsPX375padjIyIiGpLcH822jlFLjtYhNlwDu9j7C4oSpGUswXjQkIKPW4n0jTfeiP/7v/9DfX09tmzZglOnTmH+/PmYMmUKnnjiCU/HSERENCCuBvccQRCQ7WynUKpP2mixodyZxAd7RZqCw6jmqsTExOA///M/sXv3bnz99deIiorCr371K0/FRkRENCSpIp3FirRHSH3SSk3uONvQCbsIxEWGITmGB+/I/40qkTYajfjf//1fXH/99bj44ovR3NyMBx54wFOxERERDUmqSLO1wzOkyR0lCiXSp/ssYuEIOAoEbk3t2L17N9566y289957UKvVuPnmm7Fr1y4sWLDA0/ERERENyG4X5V5etnZ4RlaKVJFWZnJHcX1oHDSk4OFWIn399ddjxYoVeP3117FixQqEhfGkNBER+VZNWw9MVju0ahXGxUcqHU5QkLYbljV1wWqzQ+PjzXpyRTot1qePS+QutxLpuro6xMbyh5yIiJRT6qxGZyZGBu3iDl9L10cgIkyNHosNFS3dPq/0S8tYOLGDAoVbiXRsbCzsdjvOnj2LhoaGC2ZJX3nllR4JjoiIaDBSHy/bOjxHpRIwOSUax2sMONvQ6dPntq3bLC/XmZLKv1MKDG4l0gcPHsSaNWtQUVEBURT73SYIAmw25Qa5ExFRaOBqcO/om0gvneG7x5UWsYyNi0BMOFtGKTC4lUj/6Ec/wiWXXIKdO3dizJgxPFlLREQ+17uMhdVLT5qcIq0K9+3kjiIeNKQA5FYifebMGfz973/H5MmTPR0PERGRS3qXsbAi7UmTFZrc0XvQkIk0BQ63juPOnTsXZ8+e9XQsRERELuk0WeV+WlakPUua3FHS0AW7XRzmas8pYiJNAcitivS9996L+++/H3V1dcjLy7tg/N3MmTM9EhwREdFAypxtHUnRWugj2E/rSeMTIqFVq9BjsaGmrQcZCd4fLSiKIoqZSFMAciuRvummmwAAt99+u/w5QRAgiiIPGxIRkdf1bjRkNdrTNGoVJiZFoai+A2cbO32SSJ8zGNFhskKjEjApiX+nFDjcSqTLyso8HQcREZHLStkf7VWTU6IdiXR9JxbmpHj98aT50VnJ0dBqfLsEhmg03EqkMzMzPR0HERGRy0qcy1hYvfQOX0/u4EFDClRuJdIAUFJSghdffBGnTp2CIAiYNm0a7rvvPmRlZXkyPiIiogvIy1hSWJH2Bl9P7uBBQwpUbr1/smvXLkyfPh2HDx/GzJkzkZubi0OHDmHGjBnYs2ePp2MkIiKS2e0iyptZkfam7NTeivT5i9e8QU6kU5lIU2BxqyL90EMP4ac//SmefvrpCz7/4IMPYvHixR4JjoiI6HznDD0wWuzQqlUYFx+hdDhBaWJSFFQC0G60orHDhJTYcK89lsVmlw+PsiJNgcativSpU6dwxx13XPD522+/HSdPnhx1UERERIMpcY6+y0yMhEbNg2neoNOokZnoaJvxdp90WVMXLDYRUVo1fzGigOPWK1BycjIKCgou+HxBQQFSUrx/upeIiEJXqTz6jv3R3pSVLPVJezeRlg4aTkmLgSAIXn0sIk9zq7Vj3bp1uOuuu1BaWor58+dDEATs27cPv/nNb3D//fd7OkYiIiJZ72pw9kd7U3ZqND4+Ve/1irQ0+m4q2zooALmVSD/66KOIiYnB888/j02bNgEA0tPT8fjjj2P9+vUeDZCIiKivUmdrB5exeNfkZN9M7iiqc/ZH86AhBSC3EmlBEPDTn/4UP/3pT9HR4fgPLCaG/wEQeVqP2YZDZc34dnYy1Cq+5UkE9E2k2drhTb2TO7q8+jhF9Y6KdE5arFcfh8gbRtQj3dPTg/fff19OngFHAh0TE4P29na8//77MJlMHg+SKFRt3VOE2/76JbZ/Wal0KER+odNkRV27EQCQxdF3XiW1zjR1mtDWbfbKY3SarKhq6QHAiR0UmEaUSP/xj3/Eb3/72wGrz7GxsXjppZfwpz/9yWPBEYW6vcVNAIBjlW3KBkLkJ8qc1eikaC30kWEKRxPconQajI1zTNHwVp90cb2jMJcco0NClNYrj0HkTSNKpN966y1s2LBh0Ns3bNiA119/fbQxERGAdqMFxc7eRGlKAZEniKKIT07Vo9bQo3QoI1ba5JzYwWq0T2SleHdyR7FzYgcPGlKgGlEifebMGcyaNWvQ22fOnIkzZ86MOigiAr6uaoO0UKykscsn28UoNPzPl1W44/Wv8P0/HoTRYlM6nBHhanDfyk7p3XDoDae50ZAC3IgSaavVisbGxkFvb2xshNVqHXVQRAQcrWiT/7+hx4KWLu/0KFJoaTda8OyuIgBARXM3tv3rrMIRjUxJE1eD+9JkL1ek5dXgrEhTgBpRIj1jxgx8/PHHg96+Z88ezJgxY9RBERFwtLK1359Lm7x7cp5Cw7Z/nUVzlxn6CEd/8R/2lsh9qoGAEzt8S6pIl3ghkRZFEUX1TKQpsI0okb799tvx5JNP4oMPPrjgtn/+85/49a9/jdtvv91jwRGFKrtdxDFnIp0cowPgnX/IKLSUNXXhr1+UAQBe/N5FWDQtFRabiIffPQ673f9bh+x2EWVNXMbiS1JFuqatB10mz77j3NRpRkuXGYIAZKcwkabANKI50nfddRf27t2LVatWYerUqcjJyYEgCDh16hSKi4uxevVq3HXXXd6KlShklDZ1ot1oRXiYCstmpOGNgxWsSNOoPbXzFCw2EQumJGPh1BRMSYvB/pImfFXRiv/5qgq3XDpe6RCHdM7QA6PFjjC1gHHxEUqHExLiIrVIitahqdOEksZOzBwX57H7lto6JiRGIUKr9tj9EvnSiCrSAPDmm29i+/btmDJlCoqLi3H69Gnk5OTg7bffxttvv+2NGIlCjtQfPXNcHKY43/JkRZpGY9+ZJnx8qh5qlYBHV04DAIyNi8D9S3IAAFs+PIWGDqOSIQ5LauvITIyCRj3if77ITZOdBzvP1Hv2Nei0czU4DxpSIHNrs+Hq1auxevVqT8dCRE5HKhxtHRePj0dWkuMfMVakyV1Wmx1PfnASALD2skxM7vM2+g/nZWLHsWoU1rTj1x+cwku3zFYqzGGVNEptHeyP9qXslBgcLG3BWQ+P4ZQq0lPYH00BzOVf6dvb213+IKLRkQ4azsmMl+e4VrZ0w2y1KxkWBai3v6xCUX0H4iLDsGFRdr/bNGoVttwwEyoBeP/rc/h3UYNCUQ6v96Ah+6N9SZ7c4eGKtHTQkDOkKZC5nEjHxcUhPj7epQ8icp+hxyKPmpo9Pg4pMTpEadWw2UVUtrAqTSNj6LZg627HuLuNi6cgLvLC7XF54/S4bf5EAMCj/yhEj9k/Z0v3LmNhRdqX5MkdHqxI2+2iPC2GEzsokLnc2vHpp5/K/7+8vBwPPfQQbrvtNsybNw8AcODAAbz++uvYsmWL56MkCiEFVW0AgMzESCRFOyZ2ZKVE45tqA0oau/q9LU80nN9+cgat3RZkp0RjzRCHCTcumYKPCmtR1dKDl/51Bg8um+rDKF1T0uD4RVJ6l4Z8Q6pIVzR3wWixITxs9AcDK1u6YbTYodWoMCGRvxhR4HI5kV6wYIH8/5944gls3boVt9xyi/y5VatWIS8vD3/84x/xwx/+0LNREoWQo336oyWTkqKciTQPHJLrzjZ04m8HygEAj66cPuQBvWidBk9cl4t1f/sKr+4txXUXpWNqWqyPIh1el8mKunbHYcgsLmPxqeQYHWLDNWg3WlHe3OWRnwtpo2F2SjTUKmHU90ekFLeOPR84cACXXHLJBZ+/5JJLcPjw4VEHRRTKpP7oi8fHyZ+TekKlHlEiVzy18ySsdhFXT03BlVOSh71+8fRULJ2RCqtdxCY/my1d5jxsmxilhT4yTOFoQosgCB7vk+ZGQwoWbiXSGRkZeOWVVy74/B/+8AdkZGSMOiiiUGW3i3Jrx+w+FeksOZFmRZpc8++iBnxa1IgwtYBHVkxz+et+tSoX0ToNjlW24a3DlV6McGR6J3awGq0EaWHKWQ+N4SzmQUMKEm6Nv3vhhRdw0003YdeuXbjssssAAAcPHkRJSQneeecdjwZIFErONnaiw2hFpFbd7x8YaR1ySWMXRFGEIPCtUBqcpc+4ux/OmzCiKRdp+nA8sGQKHv/nSTzz0WksnZ6KlNhwb4XqshKuBleUVJH2VCItz5D2o/YhIne4VZG+5pprUFxcjFWrVqGlpQXNzc247rrrUFxcjGuuucbTMRKFDGl+9Mxx+n79rBOToiAIjokeLV1mpcKjAPHmwQqUNHYhIUqLe6/OHv4LzrN23gTMGqdHh8mKXzkTcqWVsiKtqMmpnkukjRYbypu7AbAiTYHPrYo04Gjv2Lx5sydjIQp50kHDOZn9x0iGh6kxNi4C1a09KGnsQqJzmgfR+Vq7zHjx4zMAgPuXTIE+YuT9xGqVgM035mHVti+w85ta3HxxAxZOTfF0qCPCirSyJkvtZU2dsNrso9osebahEza7CH1EGFJi+FpGgc3t/xI+//xz3HrrrZg/fz5qamoAAG+88Qb27dvnseCIQk3vQcML57FPYp80ueDFj4th6LFgaloMvv+twcfdDWdGuh53XOGYLf2L9wrRbbZ6KsQRs9tFlEkzpFmRVsTYuAhEhKlhsYmobOke1X31PWjINjUKdG4l0u+88w6WLl2KiIgIHD16FCaTCQDQ0dHBKjWRm9q6zXLVbfYAiXSW3CfNRJoGVlzfgTcPOQ4I/vLa6aMeK7ZhUTbGxkWgpq1HrnIr4ZyhB0aLHWFqARnxEYrFEcpUKgFZKY7XoDOjbO/gQUMKJm4l0r/+9a/xyiuv4NVXX0VYWO/bhvPnz8fRo0c9FhxRKDnmnNYxMSkKCVEXbp/jCDwaiiiKePKDk7DZRSydkYr5WUmjvs9IrQZPXj8DAPDnfWU4cc4w6vt0h/Qzn5kYNaqWAhodT03uOM3RdxRE3HpFKioqwpVXXnnB52NjY9HW1jbamIhC0jFnf/TsPvOj+5Iq0qVNTKTpQv863YDPzzRBq1bh4WtcH3c3nO9MTcWKvDGw2UU8/O5x2BSYLS21M3E1uLI8NblDbu1IZSJNgc+tRHrMmDE4e/bsBZ/ft28fJk2aNOqgiELR0co2AAP3RwO90woqW7phttp9FRYFALPVjl/vPAUA+M8rJiDTwyuXf3ntdMToNPi62oA3D1Z49L5dIbU8cTW4sjyRSBu6LfKGyimsSFMQcCuRvvvuu3Hffffh0KFDEAQB586dw1tvvYUHHngA99xzj6djJAp6tj6LWAZLpFNidIjWaWCzi6hsYVWaev3tQDnKmrqQFK3DTxZO9vj9p8aG4+fLpwIAnt1VhDqD0eOPMZTSJlak/UHfRNrdrZdFzv7osXERiA3nhkoKfG4l0j//+c9x/fXXY+HChejs7MSVV16JO++8E3fffTd+8pOfeDpGoqBXXN+BTpMVUVr1oH2DgiDIo7/ONjCRJofmThN++4njIODPlk5BjJeSk/+4dDxmj49Dp8mKx98/4ZXHGEypPPqOFWklZSZEIkwtoMdiwzlDj1v3USQvYmE1moKD26c2nnrqKTQ1NeHw4cM4ePAgGhsb8eSTT3oyNqKQIY29u2h83JCTFqSKnFShI3p+TzE6jFbMSI/FzXMyvPY4KpWALTfmQaMSkH+iDntO1nvtsfrqMllR66yAZ3GGtKI0ahUmJo1ucod00HAK+6MpSIxoIcvtt9/u0nV/+ctf3AqGKFQdrWgDMHhbhySLkzuoj1O17dh+2DHu7rFrZ4x63N1wpqbF4s5vT8Irn5XgsX8UYn5WIqJ0bu/1ckmZ83BtYpQWcZEXTrMh38pOiUFxfSdKGjqxMGfkS3qkg4YcfUfBYkSvgK+99hoyMzMxe/ZsiKLvT24TBatjQyxi6Ut6a5uzpEkURTzxz5Owi8CKvDG4dGKCTx73vquzsfP4OVS19GDrnmI8unK6Vx9P+lnnRkP/IB34PFM/8tcgURTlHmm2dlCwGFEi/aMf/Qjbt29HaWkpbr/9dtx6661ISPDNizdRsGrtMssj7QYbfSeRFiKUNnZBFEVuBQthu0/W40BpM7QaFR5yHgT0hQitGk9el4vb/vol/vpFGW6YPRa5Y/Veezx5Ygf7o/1CtnTg0I1f5msNRnQYrdCoBP59UtAYUY/07373O9TW1uLBBx/EP//5T2RkZGD16tXYtWsXK9REbjpW5ahGT0qOGvat6wmJURAEwNBjQXOX2RfhkR8yWW3Y/KFj3N1d356EjIRInz7+VTkpuHZWOuwisOnd47DavDeOsZQVab8yWa5Id4z4332prWNSchS0Gi7WoeAw4p9knU6HW265BXv27MHJkycxY8YM3HPPPcjMzERnJ99uJhopV/ujASA8TI2xcY4VyeyTDl1//aIcFc3dSInR4b+uylIkhkdXTkNsuAbHawz42wHvzZaWJ3YksYLpDyYmRUElAO1GKxo7TSP6Wh40pGA0ql8JBUGAIAgQRRF2OxdEELnjSIVr/dGSLPZJh7TGDhO2/cuxEOvny6Z6/bDfYFJiwvHQcscGxed3F+Fcm3vj0IZit4vyhBouY/EP4WFqjHe+A3J2hH3S0ug7HjSkYDLiRNpkMuHtt9/G4sWLkZOTg+PHj2Pbtm2orKxEdDRf6IhGwmqz4+vqNgDAxZlxLn2N9BZ3KRPpkPTcriJ0mqyYNU6PG2ePVTSW738rA5dkxqPLbMNjXpgtXdtuhNFiR5haQEZ8hMfvn9wzOcWRCI+0T7rImXjnpMV6PCYipYwokb7nnnswZswY/OY3v8HKlStRXV2N//u//8M111wDlYr9TkQjVVTfgW6zDTE6DbJTXKvScARe6CqsMeB/j1QBcKztVnl53N1wVCoBm52zpfecrEd+YZ1H71/6ZXF8QiQ0av4b4y8muzG5w2Kzo8Q5e5oVaQomI3pP8JVXXsH48eMxceJEfPbZZ/jss88GvO7dd9/1SHBEwe5oZRuA4Rex9CVVpNnaEVqkcXeiCKyalY45mf4xMWlKagzuXjAJ/+/TEjz+/glcPjnRY9sVpcSLEx78S3afVeGuKm/qgtlmR6S295wHUTAYUSL9gx/8gOO2iDzomLM/eraL/dEAMNmZVFS19sBktUGnUXslNvIvHx6vw+HyFoSH+XbcnSvu/U42PvimFhXN3Xh+dzEeXzXDI/crjYXkanD/IlekR5BI9z1oqPQ7KUSeNOKFLETkOUflRSxxLn9NcowO0ToNOk1WVDZ3I5sn4IOe0dI77u7uK7OQ7mcVvfAwNZ66Pg+3/vkQXj9Qjhtmj8WsjLhR3688sYOj7/yKdPCzqdOEtm6zSxsni+u50ZCCE5vOiBTS3GlCeXM3AGB2husVaUEQ+rR3sE86FPzp81LUtPVgjD4cP1qgzLi74VyRnYQbZo+F6MHZ0lL7Els7/Eu0ToN0fTgA19s7pIo0NxpSsGEiTaSQY87+6Mkp0dBHjqynVD5w2MQ+6WBX327E7/5dAgB4aPlURGj9t5XnkRXTEBcZhpO17fjrF+Wjuq9usxW1BiMAIIsVab8z2flOmKuJdBETaQpSTKSJFHLEjbYOyaQkZ0W6gRXpYPdMfhG6zTbMHh+HVbPSlQ5nSEnROjzsnC29dU8xqlu73b4vqa0jMUrrUusA+ZZ0VsOVPukukxWVLY6fhRy2olGQYSJNpJCjI1zE0pfUo8iKdHD7uqoN7xytBgA8du2MgDjs/d1LxuHSiQnosdjwy3+cGPEaaUkJV4P7texU1yd3SP3RSdE6JEbrvBoXka8xkSZSgNVmxzfVBgDAnMyRJ9Jyj3RDp9uJCvk3URTxxAcnAQA3zh6LizxweM8XBEHA5htyEaYW8K/TDfjIzdnSXA3u3yaPYAQeDxpSMGMiTaSA03Ud6LHYEBuucesg1YTEKAgC0G60ornL7IUISWnvf30ORypaERGmxs+X+de4u+FMTonBf101GQDw+Psn0G60jPg+pNF3WSmsSPsjqbWjpq0HXSbrkNfyoCEFMybSRAqQxt5dND7erZmq4WFqjHOuTOaGw+DTY7bh6Y9OAwDuuSoLac4JCYHknquyMCkpCg0dJjybXzTir5eWsbAi7Z/io7RIinb0rg+3HEo+aMj+aApCTKSJFNDbHx3n9n1ICQY3HAafP+wtQa3BiLFxEVh35SSlw3FLeJgav74hFwDw5qEK+ZdHV9jtIsqaOEPa37na3sGJHRTMmEgTKUBaDe7OQUOJPAKPiXRQOdfWg1c+c4y723TNVISH+e+4u+HMz0rCTRePgygCD797HBYXZ0vXthvRY7EhTC0gIyHSy1GSu1zZcNjUaUJzlxmC4NhqSBRsmEgT+VhjhwmVLd0QBOCi0VSkuZQlKP0m/zSMFjsunZCAFXljlA5n1B5ZMQ3xkWE4XdeBP+8rc+lrpF8OxydEIkzNf6b8VXbK8LOkpWp0ZkKkX89AJ3IXX6GIfEx6izs7JRqx4SNbxNKXlEizIh08jlS04h8F5yAIwC+vnR4Q4+6GkxClxSMrpgMAXvy4GFUtw8+W7l0Nzv5of+ZKa4d00JDVaApWTKSJfExKpN0Ze9eXdGq+sqUbJqtt1HGRsux2EU/88wQA4LtzxiF3rF7hiDznpovHYt6kRBgtdvzivcJhRzZyNXhgyHYm0hXNXYO+BhXVtQPg6DsKXkykiXzsWEUbAGD2KPqjASA5RodonQZ2Eahsdn+DHPmH9wpq8HW1AVFaNR5YmqN0OB4lCAKeuiEXWrUKnxU34oNvaoe8vrcizYOG/iw5RoeYcMdrkHQ49HxF9Y5finLSYn0ZGpHPMJEm8iGLzY5vatoAjO6gIeBITrLYJx0UukxW/CbfMe7ux9+ZjJSYwBt3N5xJydH48ULHbOlf/fMkDN2Dz5YulSvSTKT9mSAIclV6oPYOu13EmXpO7KDgxkSayIdO1bbDaLFDHxGGSUmjTxKkHlKOwAtsr3xWgvp2EzISInD75ROVDsdrfnTVJGQlR6Gp04Tf7Do94DXdZivOGYwAOEM6EMiTO+ovfA2qau1Gt9kGrUaFCYmcvkLBiYk0kQ9J86Nnj49zaxHL+bLkA4esSAeq6tZu/HFvKQDgkWumBfS4u+HoNGpsviEPAPDfhypxpKLlgmukn+WEKC3io7Q+jY9GTp7cMcAv89JBw8nJ0dBw+goFKf5kE/mQJ+ZH98WKdODb8tFpmKx2XDYpAUtnpCkdjtfNnZSI712SAQDY9O5xmK39Z0tLq8E98Y4NeZ88uWOAirQ0+o4HDSmYMZEm8iFpYofnEuneEXjDTUIg/3O4rAU7v6mFSgB+uXJGUIy7c8Wma6YiMUqL4vpOvPp5ab/bpNXgnNgRGKREuqypC9bzFu4UsT+aQgATaSIfaWg3orq1B4IAzMrwzGizCYlREASg3WhFc5fZI/dJvmG3i3jiA8e4u+99azymp4fOVIO4SC1+sXIaAOClT86gorm3NamUq8EDyti4CESEqWG22VF53oxwrganUMBEmshHpGp0TmoMYkaxiKWv8DA1xsVHAOit5FFg+PuRahTWtCNGp8H9S6YoHY7PXX/RWFwxOQkma//Z0tLEDi5jCQwqlYCsFMcvPX0nd5isNnkkHhNpCmZMpIl8RO6PHuUilvNJb4GXDjLHlfxPh9GCZ3YVAQDWX52NpGidwhH5niAI+PX1udBpVPj8TBP+UXAOdrsoHzbk6LvAIS2HOtMnkT7b0AmbXURsuAZpscE3zpFIwkSayEekiR2e6o+WSCPCWJEOHP/v0xI0dZowITESP5w/QelwFDMhKQrrr84GADz5wUmcrutAj8UGjUpARgLHpQWKbOf6776vQcX10kHD2JDp/afQxESayAfMVju+qTEAAC4eH+fR+5YPHLIiHRAqmrvwl31lAIBHVkyHVhPaL8Prvj0JU1Kj0dxlxob/OQYAGJ8YiTCOSwsYWQNUpE+zP5pCBF+piHzgZG07zFY74iPDMNHDY72yOAIvoGz58DTMNjuumJyERdNSlA5HcVqNSp4tXVzPiR2BKDu19zXIbnf0uksHDacwkaYgx0SayAd6F7HEe/xtTqmXtKqlGyarzaP3TZ51oKQZ+SfqoBKAR1dO51veTpdMSMAtl46X/8yJHYElMyESYWoB3WYbzhl6AHCGNIUOJtJEPtA7PzrO4/edHKNDjE4DuwhUNncP/wWkCJtdxBMfnAQA/MfcTL7lfZ6Hlk2VD11OSeFzE0g0apX8TtvZhk4Yui2oda55n5LKv0sKbkykiXzAWwcNAcf0A6mCx/YO//U/X1bhVG07YsM1+Oni0Bt3Nxx9ZBj+etu38OOFWVg5a4zS4dAIyRsOGzpR3OCoRqfrw6GP8MyoTyJ/pWgivXfvXlx77bVIT0+HIAh47733+t0uiiIef/xxpKenIyIiAldddRVOnDjR7xqTyYR7770XSUlJiIqKwqpVq1BdXd3vmtbWVqxduxZ6vR56vR5r165FW1tbv2sqKytx7bXXIioqCklJSVi/fj3M5v4LLo4fP44FCxYgIiICY8eOxRNPPMFtcjSsOoMR5wxGqARgVkacVx6jd1U4Dxz6o3ajBc/vdoy727BoChKitApH5J/yxunxs6VTodOolQ6FRmiy812Esw2dPGhIIUXRRLqrqwuzZs3Ctm3bBrz9mWeewdatW7Ft2zZ8+eWXSEtLw+LFi9HR0SFfs2HDBuzYsQPbt2/Hvn370NnZiZUrV8Jm6+0VXbNmDQoKCpCfn4/8/HwUFBRg7dq18u02mw0rVqxAV1cX9u3bh+3bt+Odd97B/fffL1/T3t6OxYsXIz09HV9++SVefvllPPfcc9i6dasXnhkKJlJbx9S0WETpNF55jCxWpP3ay5+cQXOXGVnJUVg7L1PpcIg8TqpIn2noRFFdOwAeNKTQ4J1/1V20fPlyLF++fMDbRFHEiy++iEceeQQ33ngjAOD1119Hamoq/vu//xt33303DAYD/vznP+ONN97AokWLAABvvvkmMjIy8PHHH2Pp0qU4deoU8vPzcfDgQcydOxcA8Oqrr2LevHkoKipCTk4Odu/ejZMnT6Kqqgrp6ekAgOeffx633XYbnnrqKcTGxuKtt96C0WjEa6+9Bp1Oh9zcXBQXF2Pr1q3YuHEjDw3RoOS2jsw4rz2GVJEuZUXa75Q1deG1/eUAgF+snM6xbhSUsvu0dqic/xzyoCGFAr99RS8rK0NdXR2WLFkif06n02HBggXYv38/AODIkSOwWCz9rklPT0dubq58zYEDB6DX6+UkGgAuu+wy6PX6ftfk5ubKSTQALF26FCaTCUeOHJGvWbBgAXQ6Xb9rzp07h/Ly8kG/D5PJhPb29n4fFFp6Dxp6vj9aIm83bOxku5EfEUURv/7gJCw2EVflJGNhDsfdUXCamBQFlQAYeiz4usoxMz8nNVbhqIi8z28T6bq6OgBAampqv8+npqbKt9XV1UGr1SI+Pn7Ia1JSLvzHKyUlpd815z9OfHw8tFrtkNdIf5auGciWLVvk3my9Xo+MjIyhv3EKKiarDYU1jl+evJlIZyZGQhCAdqMVTZ3m4b+AfGLXiTp8croBGpWAX6yYpnQ4RF4THqbGeOc2SrPNDrVKQFYKxxhS8PPbRFpyfsuEKIrDtlGcf81A13viGqnyN1Q8mzZtgsFgkD+qqqqGjJ2Cy4lz7TDb7EiI0iIz0Xsrj8PD1MiId9x/Kfuk/UK70YJf/sNxOPpHC7Lkw1hEwUrqkwYcFWoeGqVQ4LeJdFpaGoALq70NDQ1yJTgtLQ1msxmtra1DXlNfX3/B/Tc2Nva75vzHaW1thcViGfKahoYGABdWzfvS6XSIjY3t90Gho3fsXZzX++h7R+CxT9ofPJtfhIYOEyYmReEn35msdDhEXtf3l0VO7KBQ4beJ9MSJE5GWloY9e/bInzObzfjss88wf/58AMCcOXMQFhbW75ra2loUFhbK18ybNw8GgwGHDx+Wrzl06BAMBkO/awoLC1FbWytfs3v3buh0OsyZM0e+Zu/evf1G4u3evRvp6emYMGGC558ACgpSf/RsL7Z1SCYl9fZJk7KOVLTgzUMVAICnrs9FeBgrcxT8+lakp3IRC4UIRRPpzs5OFBQUoKCgAIDjgGFBQQEqKyshCAI2bNiAzZs3Y8eOHSgsLMRtt92GyMhIrFmzBgCg1+txxx134P7778cnn3yCY8eO4dZbb0VeXp48xWPatGlYtmwZ1q1bh4MHD+LgwYNYt24dVq5ciZycHADAkiVLMH36dKxduxbHjh3DJ598ggceeADr1q2TK8hr1qyBTqfDbbfdhsLCQuzYsQObN2/mxA4a0tGKNgDAnEzvJ9JSPyJH4CnLbLVj07vHIYrAzXPGYf7kJKVDIvKJ7D6JNCvSFCoUHX/31VdfYeHChfKfN27cCAD44Q9/iNdeew0///nP0dPTg3vuuQetra2YO3cudu/ejZiY3v9AX3jhBWg0GqxevRo9PT24+uqr8dprr0Gt7q0AvfXWW1i/fr083WPVqlX9Zler1Wrs3LkT99xzDy6//HJERERgzZo1eO655+Rr9Ho99uzZgx//+Me45JJLEB8fj40bN8oxE53vXFsP6tqNUKsEzByn9/rjyRXpJrZ2KOnVz0tRXN+JhCgtHrmGBwwpdGSlREMQAFF0zM0nCgWCyFlZPtXe3g69Xg+DwcB+6SD3wTfn8JP/PobcsbH44N5ve/3xGjqMuPSpT6ASgFNPLuNBHwWUNXVh6Yt7Ybba8cL3ZuGG2eOUDonIp/70eSnaeyzYuCRH6VCIRsXVfE3RijRRMJPaOrw59q6v5GgdYnQadJisqGjuxhT2KPqUKIp4ZMdxmK12fDs7CddfNFbpkIh87s5vT1I6BCKf8tvDhkSBzheLWPoSBEGe3MEDh773ztEa7C9pRniYCk9dn8ezE0REIYCJNJEXGC02nDjn2O7lq0Qa6N1wyBF4vtXcacKvd54EANx39RSM9+LMcCIi8h9MpIm8oLDGAItNRFK0FhkJET573N5Z0qxI+9JTO0+hrduCqWkxuPPbE5UOh4iIfISJNJEX9J0f7cu3+KWKdCkr0j7z+ZlGvHusBoIAPH3TTISp+bJKRBQq+IpP5AW+nB/d1yS5taMTHMjjfT1mGx7ZUQgA+OG8CbgoI07ZgIiIyKeYSBN5mCiKPj9oKMlMjIQgAB1GK5o6zcN/AY3KS/86g8qWbozRh+OBpRz3RUQUaphIE3lYTVsPGjpM0PhoEUtf4WFqZMQ7DrqxT9q7TtW24497SwEAv1o1A9E6ThMlIgo1TKSJPOxoZRsAYHp6LMLDfL8UpXcEHvukvcVmF7Hp3eOw2UUsm5GGJTPSlA6JiIgUwESayMOOVijT1iHpPXDIirS3vHmwAgVVbYjWafD4qhlKh0NERAphIk3kYcfkiR1xijw+R+B5V62hB8/knwYAPLgsB2n6cIUjIiIipTCRJvIgxyKWdgB+UJFuYmuHNzz2jxPoMttw8fg4/MfcTKXDISIiBTGRJvKgb6oNsNpFpMToMC7ed4tY+pIq0lUt3TBZbYrEEKzyC+uw+2Q9NCoBW26cCZWKa8CJiEIZE2kiD+o79s6Xi1j6So7WIUangV0EKpq7FYkhGHUYLXjsfcfM6LsXTEJOWozCERERkdKYSBN5kHzQMDNOsRgEQcCkFOdilgb2SXvKs7uKUN9uwoTESNz7nWylwyEiIj/ARJrIQxyLWNoAKNcfLclKco7AY5+0RxypaMUbBysAAE/dkKfIWEMiIvI/TKSJPKS6tQdNnSaEqQXkjvXtIpbzZaX0rgqn0bHY7Hj43eMQReCmi8fh8slJSodERER+gok0kYdI/dHT0/WKVywnJUkj8FiRHq0/7i1FUX0H4iPD8MiKaUqHQ0REfoSJNJGH9C5iiVM2EACT+ixlEUVR4WgCV3lTF1765AwA4NGV05EQpVU4IiIi8idMpIk85EilshsN+8pMjIRKADqMVjR2mpQOJyCJoohH3jsOk9WOKyYn4YbZY5UOiYiI/AwTaSIP6DZbcaq2AwAwJ1P5RDo8TI1x8ZEAgFK2d7jl3aM1+OJsM3QaFZ66IVexcYZEROS/mEgTecA31QbY7CLSYsORHqfMIpbzZTkXszCRHrmWLjN+vfMkAOC+RdnITIxSOCIiIvJHTKSJPEBexKLg/OjzSX3SnNwxcr/eeRKt3RZMTYvBum9PUjocIiLyU0ykiTzgaEUbAP/oj5ZMkivSTKRH4ouzTXj3aA0EAdhyYx7C1HyZJCKigfFfCKJREkURx5wV6dl+lEhnyRVptna4ymix4eEdxwEAP7gs06/+PomIyP8wkSYapcqWbjR3maFVq5A7NlbpcGRSRbq6tRtGi03haALDS5+cQUVzN9Jiw/HA0hylwyEiIj/HRJpolKT+6BljY6HT+M/q6ORoHWLCNbCLQEVzt9Lh+L3Tde34495SAMCvrpuBmPAwhSMiIiJ/x0SaaJSOVPjP/Oi+BEHot5iFBmezi3joneOw2kUsnZGKpTPSlA6JiIgCABNpolGSDhr6w/zo88kj8JrYJz2Utw5VoKCqDdE6DX61KlfpcIiIKEAwkSYahS6TFafr2gH4X0Ua6HPgsIEV6cHUGYx4Jr8IAPDzZTlI04crHBEREQUKJtJEo/B1dRvsIpCuD/fLBGxSkqMiXcKK9KAee78QnSYrZo+Pw3/MzVQ6HCIiCiBMpIlG4VhlGwBgth+2dQBAVoqzR7qhE6IoKhyN/9l1og67TtRDoxKw5cY8qFVcA05ERK5jIk00Ckf99KChJDMxEioB6DBZ0dhpUjocv9JhtOCxf5wAANx15SRMTfOf0YVERBQYmEgTuUkUxd7V4OPjlA1mEDqNGhkJkQCAUi5m6ee5XUWoazciMzES66/OVjocIiIKQEykidxU1tSF1m4LtBoVZqTrlQ5nUHKfNEfgyY5VtuJvBysAAE9dn4fwMP+Z/01ERIGDiTSRm446+6Pzxuqh1fjvf0q9s6RZkQYAi82OTe8ehygCN148FldkJykdEhERBSj//defyM9JbR3+OD+6L3kEHivSAIA/fV6G03UdiI8Mwy9WTFc6HCIiCmBMpInc1HvQME7ZQIYxSVrKwoo0Kpq78OLHxQCAX6yYjoQorcIRERFRIGMiTeSGTpMVxfUdAPx3YodEqkhXtXbDaLEpHI1yRFHEIzsKYbLacfnkRNx48VilQyIiogDHRJrIDV9XORaxjI2LQEqs/y1i6SspWouYcA1EEaho7lY6HMW8V1CDfWeboNOo8NT1eRAEzowmIqLRYSJN5Aa5rcPP+6MBQBCEPgcOQ7NPuqXLjCc/OAUAWH91NiY4J5kQERGNBhNpIjf4+/zo82Ulh/YIvM0fnkJLlxk5qTG468pJSodDRERBgok00QjZ7aI8+s7f+6MlWSE8Am//2Sb8/Ug1BAHYfGMewtR82SMiIs/gvyhEI1Ta1AVDjwU6jQrTxgTGWulQrUgbLTY8vOM4AGDtZZl+P6qQiIgCCxNpohGS2jpmjYvz60UsffVdyiKKosLR+M62f51FeXM3UmN1+NnSHKXDISKiIBMYWQCRHznmTKRnZ8YpG8gIZCZGQiUAHSYrGjtNSofjE0V1HXjlsxIAwK9W5SImPEzhiIiIKNgwkSYaoaMVbQACpz8aAHQaNTISIgEAJQ3B3ydtt4vY9O43sNpFLJ6eimW5aUqHREREQYiJNNEItBstKG4IjEUs55vkHPlW2hT8fdJvHa7E0co2RGnVeOK6GUqHQ0REQYqJNNEIfF3VBlEEMhIikByjUzqcEZEmdwR7Rbq+3YhnPjoNAPj5sqkYo49QOCIiIgpWTKSJRiAQ2zok8oHDIK9IP/7+CXSYrLgoIw63XpapdDhERBTEmEgTjcAReRFL4CXS0gi8YJ4lvftEHT4qrINGJWDLjXlQq7gGnIiIvIeJNJGL7HZRntgRiPOIpYp0VWs3jBabwtF4XqfJisfePwEAWHflpICZ8U1ERIGLiTSRi0oaO9FhtCIiTI2paTFKhzNiSdFaxIRrIIpARXO30uF43JsHK1BrMGJ8QiTuuzpb6XCIiCgEMJEmcpG0iGXmOD00AbhmWhCE3gOHQbjh8MPjtQCAuxdMQniYWuFoiIgoFAReNkCkEPmgYQC2dUgmyX3SwZVIV7d245tqAwQBWDqDM6OJiMg3mEgTuehoAB80lPRWpIPrwGF+YR0A4FsTEpAUHVhjCYmIKHAxkSZygaHHgjMNjiru7PFxygYzCllBWpGWEunl3GBIREQ+xESayAUFVW0AgMzEyICueEoV6dLGLoiiqHA0ntHQbpTHEnIVOBER+RITaSIXHKkI/LYOABifGAmVAHSYrGjsMCkdjkfsOlkPUQQuyojjFkMiIvIpJtJELpDmRwfyQUMA0GnUyEiIBBA8fdL5hY5pHWzrICIiX2MiTTQMu11EQWUbAODiAO6PlgTTCLzWLjMOlrYAAJbnjlE4GiIiCjVMpImGcaahEx0mKyK1auSkBt4ilvNNSgqeVeF7TtbDZhcxfUwsxidGKh0OERGFGCbSRMOQxt7NGhcXkItYzpeV4jxw2BT4FemPnG0dPGRIRERKCPysgMjLjkoHDTPjlA3EQ6SKdKC3drQbLdh3tgkA+6OJiEgZTKSJhhEMi1j6muTska5u7YHRYlM4Gvd9eroBFpuIrOQoZAdByw0REQUeJtJEQ2jrNsvTLWYHSSKdFK1FbLgGogiUNwdun/RHx6UlLDxkSEREymAiTTSEY85pHROTopAQpVU2GA8RBEGuSgfqgcNusxX/Lm4AwP5oIiJSDhNpoiEEW1uHRB6B1xCYfdKfFTXCaLEjIyECM9JjlQ6HiIhCFBNpoiHIiXSQHDSUTEp2jsBrCsyK9EeFvW0dgiAoHA0REYUqJtJEg7D1W8QSbBVpaZZ04FWkTVYb/nXa0daxdAbbOoiISDlMpIkGUVzfgS6zDdE6DaYE2VSI3u2GXRBFUeFoRmbfmSZ0mqxIjdVhdkac0uEQEVEIYyJNNAh5EUuGHmpVcLUPjE+MhEoAOk1WNHaYlA5nRPKdbR3LZqRBFWR/L0REFFiYSBMN4mhFG4Dga+sAAJ1GjfEJjpXaZwOovcNis2PPqXoAwDKOvSMiIoUxkSYaRLBO7JAE4gi8Q6UtaOu2IDFKi0snJigdDhERhTgm0kQDaOkyo6xJWsQSp2wwXtJ74DBwEumPCmsBAEtmpAZduw0REQUeJtJEAzjmrEZnJUchLjI4FrGcb5J84DAwWjtsdhG7TrCtg4iI/AcTaaIBBHtbBwBMSpJmSQdGIn2kohVNnSbEhGswb1Ki0uEQERExkSYaiHzQMDN4E+msFEdFurq1B0aLTeFohidN61g8LRVaDV+6iIhIefzXiOg8VpsdX1e3AQjuinRilBax4RqIIlDe7N990qIoYtcJ59i7XC5hISIi/8BEmug8RfUd6DbbEKPTINtZtQ1GgiDIVWl/P3D4TbUBNW09iNSqceWUZKXDISIiAsBEmugCR51rwS8aHxf0Cz8mJTkPHDb4d5/0R862joVTUxAeplY4GiIiIgcm0kTnOVrhOGg4O4jbOiSTpBF4Tf5bkRZFEfnOsXfL2dZBRER+hIk00Xl6J3bEKRuID2QFwAi803UdKG/uhlajwlU5KUqHQ0REJGMiTdRHU6cJFc3dAEKjIt13KYsoigpHMzCprePK7GRE6zQKR0NERNSLiTRRH8ec/dHZKdHQR4QpG4wPjE+MhFoloNNkRUOHSelwBrTLmUizrYOIiPwNE2miPkJhEUtfOo0aGfERAPyzvaO0sRNF9R3QqAQsmpaqdDhERET9MJEm6kM6aHhxZpyygfiQtCrcH0fgSW0d8ycnQR8Z/O8QEBFRYGEiTeRktdnxTbUBQOhUpIHePml/rEjns62DiIj8GBNpIqfTdR3osdgQG66Rp1mEAn+tSFe1dON4jQEqAVg8nW0dRETkf5hIEzkdcbZ1XDQ+PugXsfTlryPwpJXg35qQgKRoncLREBERXYiJNJGTdNBwTgi1dQC9S1lq2npgtNgUjqbXR2zrICIiP8dEmkKeKIqw28XeiR0hdNAQABKjtNBHhEEUgfJm/2jvaGg3yu8QLMsdo3A0REREA+N2A/IZURRxtLINbx+uxJGKVtjsIkSIEEU4P0SIcP5/6fPOP6Pfn/tc5/z/cN5mF8ULvh4X3J/Y5377EwTgoow4XzwdfkMQBExKjsKxyjaUNHRhalqs0iHJbR2zx8chTR+ucDREREQDYyJNXmfosWDH0Wq8fbgKRfUdSoczpKunpiImPPTGrE1KisaxyjaU+kmfNNs6iIgoEDCRJq+Qqs//fagSO4+fg9FiBwCEh6mwcmY6Vs1KR5ROA0EABDiqoo7/BQQIEJxn/QQBUAlCv89L16Hfnwf/+oFuc3654777fH1ciM4qzkrxnxF4LV1mHCprAQAsZ1sHERH5MSbS5FGDVZ9zUmOwZu54XD97bEis3g40k5KcI/CalO+R3nOyDja7iBnpschIiFQ6HCIiokExkaZRG676fMul43Hx+DgIQuiMlAs0k6WKdEMnRFFU9O9KautYNoNtHURE5N+YSJPbWH0OHuMToqBWCegy29DQYUJqrDIH/Aw9FnxxtgkAsDyPiTQREfk3JtI0In0nb3zwDavPwUKrUSEjPgLlzd0oaexULJH+9HQDLDYRk1OiMTklRpEYiIiIXMVEmlxi6LHgvWM1ePtwJU7XsfocjLKSo52JdBfmZyUpEsNHhbUAOK2DiIgCAxNpGhSrz6FlUnIUPjkNxUbgdZut+Ky4EQCwjIk0EREFACbSdAFWn0NTVrJjckdJozKTO/5d1AijxY7xCZGYPkb5pTBERETDYSJNAFh9JmCSM5FWqiLddwkLf86IiCgQMJEOcaw+k2RSsmMEXk1bD4wWG8LD1D57bKPFhn+dqgcALGVbBxERBQgm0iGI1WcaSGKUFvqIMBh6LChr6sI0H7ZX7DvThC6zDWmx4bhoXJzPHpeIiGg0mEiHEFafaSiCIGBSchSOVbahtNG3iXT+CecSltw0qFT8BY6IiAIDE+kgN1j1WadxVJ/XzGX1mXplJUfjWGUbSnzYJ22x2bHnpKOtg9M6iIgokDCRDmL/Ol2PZ/KLLqg+33JpBm6YPQ76SFafqT+pT9qXBw4PljbD0GNBUrQW35qQ4LPHJSIiGi2V0gEMp6OjAxs2bEBmZiYiIiIwf/58fPnll/Ltoiji8ccfR3p6OiIiInDVVVfhxIkT/e7DZDLh3nvvRVJSEqKiorBq1SpUV1f3u6a1tRVr166FXq+HXq/H2rVr0dbW1u+ayspKXHvttYiKikJSUhLWr18Ps9nste99tGx24HRdB3QaFW66eBze+a/5yN/wbdx2+UQm0TQgJUbgSdM6Fk9Pg5ptHUREFED8PpG+8847sWfPHrzxxhs4fvw4lixZgkWLFqGmpgYA8Mwzz2Dr1q3Ytm0bvvzyS6SlpWHx4sXo6Oitwm7YsAE7duzA9u3bsW/fPnR2dmLlypWw2WzyNWvWrEFBQQHy8/ORn5+PgoICrF27Vr7dZrNhxYoV6Orqwr59+7B9+3a88847uP/++333ZIzQwpxkPHVDLg4/vAjPr56FOZnxbOGgIWX1qUiLouj1x7PZRew+0Tv2joiIKKCIfqy7u1tUq9XiBx980O/zs2bNEh955BHRbreLaWlp4tNPPy3fZjQaRb1eL77yyiuiKIpiW1ubGBYWJm7fvl2+pqamRlSpVGJ+fr4oiqJ48uRJEYB48OBB+ZoDBw6IAMTTp0+LoiiKH374oahSqcSamhr5mrffflvU6XSiwWBw+XsyGAwigBF9DZGvmCw2cdKmnWLmgx+IdYYerz/ewZImMfPBD8S8x/JFk8Xm9ccjIiJyhav5ml9XpK1WK2w2G8LDw/t9PiIiAvv27UNZWRnq6uqwZMkS+TadTocFCxZg//79AIAjR47AYrH0uyY9PR25ubnyNQcOHIBer8fcuXPlay677DLo9fp+1+Tm5iI9PV2+ZunSpTCZTDhy5Mig34PJZEJ7e3u/DyJ/pdWoMD4hEgBQ0uD9PmmprWPR9FRoNX79ckRERHQBv/6XKyYmBvPmzcOTTz6Jc+fOwWaz4c0338ShQ4dQW1uLujrHP8Kpqan9vi41NVW+ra6uDlqtFvHx8UNek5KScsHjp6Sk9Lvm/MeJj4+HVquVrxnIli1b5L5rvV6PjIyMET4LRL41KcnR3lHS5N0+aVEUsUtu6xjj1cciIiLyBr9OpAHgjTfegCiKGDt2LHQ6HV566SWsWbMGanXv1rXz+35FURy2F/j8awa63p1rzrdp0yYYDAb5o6qqasi4iJSWleI8cOjlivTX1QbUGoyI0qrx7ewkrz4WERGRN/h9Ip2VlYXPPvsMnZ2dqKqqwuHDh2GxWDBx4kSkpTkOJ51fEW5oaJCrx2lpaTCbzWhtbR3ymvr6+gseu7Gxsd815z9Oa2srLBbLBZXqvnQ6HWJjY/t9EPkzqSJd6uWK9EeFtQCAhVNTfLqOnIiIyFP8PpGWREVFYcyYMWhtbcWuXbtw3XXXycn0nj175OvMZjM+++wzzJ8/HwAwZ84chIWF9bumtrYWhYWF8jXz5s2DwWDA4cOH5WsOHToEg8HQ75rCwkLU1tbK1+zevRs6nQ5z5szx6vdO5EuTnCPwvDlLWhRF5BeyrYOIiAKb3y9k2bVrF0RRRE5ODs6ePYuf/exnyMnJwX/+539CEARs2LABmzdvRnZ2NrKzs7F582ZERkZizZo1AAC9Xo877rgD999/PxITE5GQkIAHHngAeXl5WLRoEQBg2rRpWLZsGdatW4c//OEPAIC77roLK1euRE5ODgBgyZIlmD59OtauXYtnn30WLS0teOCBB7Bu3TpWmSmoSCPwatp6YLTYvFItPlXbgYrmbug0KlyVk+zx+yciIvIFv0+kDQYDNm3ahOrqaiQkJOCmm27CU089hbAwx0KRn//85+jp6cE999yD1tZWzJ07F7t370ZMTIx8Hy+88AI0Gg1Wr16Nnp4eXH311Xjttdf69Vm/9dZbWL9+vTzdY9WqVdi2bZt8u1qtxs6dO3HPPffg8ssvR0REBNasWYPnnnvOR88EkW8kRGmhjwiDoceCsqYuTBvj+V8U851tHVdOSUaUzu9fhoiIiAYkiKIPti6QrL29HXq9HgaDgZVs8ls3/u4LHK1sw7Y1s7FyZvrwXzBCi7d+hjMNndi6ehZuvHicx++fiIhoNFzN1wKmR5qIfKe3T9rzBw7PNnTiTEMnwtQCrp42+EFdIiIif8dEmoguMKnPqnBPk2ZHz89Kgj4izOP3T0RE5CtMpInoAlnOinSJFyrS0ti75blpHr9vIiIiX2IiTUQXyOpTkfbkMYqqlm4U1rRDJQCLp7Otg4iIAhsTaSK6wPiEKKhVArrMNtS3mzx2v9Ls6LkTE5EYrfPY/RIRESmBiTQRXUCrUWF8QiQAz/ZJS20dy9jWQUREQYCJNBENSGrvKPFQIl1nMOJoZRsAYOkMJtJERBT4mEgT0YAmefjA4e6TjraOi8fHIU0f7pH7JCIiUhITaSIa0KQk54HDJs8k0h8ddyTSy3PHeOT+iIiIlMZEmogGlJXirEg3jL61o7nThENlzQDYH01ERMGDiTQRDUiqSJ8z9KDHbBvVfe05WQ+7COSOjUWG8xAjERFRoGMiTUQDSojSIi4yDKIIlI2yveOjQrZ1EBFR8GEiTUQDEgShT5+0++0dhh4L9pc0AeC0DiIiCi5MpIloUNLkjtJRTO745FQ9LDYR2SnRmOzsuyYiIgoGTKSJaFBZ8gg89yvS+XJbB6vRREQUXJhIE9GgJjmXsrhbke4yWfFZcSMAYBn7o4mIKMgwkSaiQWXJrR2dEEVxxF//76JGmKx2ZCZGYtqYGE+HR0REpCgm0kQ0qPEJkVCrBHSZbahvN4346z8qrAXgmB0tCIKnwyMiIlIUE2kiGpRWo8J459znkfZJGy02fHq6AQDH3hERUXBiIk1EQ8qS+6RHlkh/fqYJXWYbxujDMXOs3huhERERKYqJNBENaZI8uWNkBw6lto6lM9KgUrGtg4iIgg8TaSIaklSRHklrh8Vmx8cn6wFw7B0REQUvJtJENCR3lrIcKGlGu9GKpGgtLpmQ4K3QiIiIFMVEmoiGJI3Aq2nrQY/Z5tLXfORcwrJkRhrUbOsgIqIgxUSaiIaUEKVFXGQYAKCsafiqtM0uYs9JbjMkIqLgx0SaiIY1Kck5uaNp+D7pL8tb0NRphj4iDJdNSvR2aERERIphIk1Ew5LaO0oahq9I5zvbOhZNS0WYmi8xREQUvPivHBENSz5wOExF2m4X5USabR1ERBTsmEgT0bBcHYH3dXUb6tqNiNKqcUV2ki9CIyIiUgwTaSIaVt8ReKIoDnqdVI3+zrRUhIepfRIbERGRUphIE9GwxidEQq0S0G22oa7dOOA1oijKY+/Y1kFERKGAiTQRDUurUSEzIRLA4ItZTta2o7KlG+FhKlyVk+zL8IiIiBTBRJqIXDLJ2SddOkiftNTWsWBKMiK1Gp/FRUREpBQm0kTkEnkE3iAVaamtYxnbOoiIKEQwkSYil0waYnLH2YYOnG3oRJhawHempvo6NCIiIkUwkSYil/Sd3HE+qa3j8slJ0EeE+TQuIiIipTCRJiKXSK0dNW096DHb+t3GaR1ERBSKmEgTkUsSorSIi3RUm8uaeqvSlc3dOHGuHWqVgMXTmUgTEVHoYCJNRC7rPXDY2yedf6IWADB3YgISorSKxEVERKQEJtJE5LJJSdIIvN6KNNs6iIgoVDGRJiKXZaX0r0jXGnpwrLINALBkBhNpIiIKLUykichlckW6yZFI7z5RDwCYkxmP1NhwxeIiIiJSAhNpInJZ3xF4oijio0JHfzTbOoiIKBQxkSYil2UmRkKjEtBttuHEuXYcLmsBACxlWwcREYUgJtJE5LIwtQrjEyIBAK98VgK7COSN1SPD+TkiIqJQwkSaiEZEau/48LijrWMZ2zqIiChEMZEmohHJSnYcOLSLjj+zP5qIiEIVE2kiGpFJzkQaAKakRssVaiIiolDDRJqIRiSrT+K8LHeMgpEQEREpi4k0EY1I30SabR1ERBTKNEoHQESBJT5Ki4eWT4XJYsfUtBilwyEiIlIME2kiGrEfLchSOgQiIiLFsbWDiIiIiMgNTKSJiIiIiNzARJqIiIiIyA1MpImIiIiI3MBEmoiIiIjIDUykiYiIiIjcwESaiIiIiMgNTKSJiIiIiNzARJqIiIiIyA1MpImIiIiI3MBEmoiIiIjIDUykiYiIiIjcwESaiIiIiMgNTKSJiIiIiNzARJqIiIiIyA1MpImIiIiI3MBEmoiIiIjIDUykiYiIiIjcwESaiIiIiMgNTKSJiIiIiNzARJqIiIiIyA1MpImIiIiI3MBEmoiIiIjIDUykiYiIiIjcwESaiIiIiMgNGqUDCDWiKAIA2tvbFY6EiIiIiAYi5WlS3jYYJtI+1tHRAQDIyMhQOBIiIiIiGkpHRwf0ev2gtwvicKk2eZTdbse5c+cQExMDQRCUDkcR7e3tyMjIQFVVFWJjY5UOx6/xuRoZPl+u43PlOj5XruNz5To+V65T4rkSRREdHR1IT0+HSjV4JzQr0j6mUqkwbtw4pcPwC7GxsXzxcBGfq5Hh8+U6Pleu43PlOj5XruNz5TpfP1dDVaIlPGxIREREROQGJtJERERERG5gIk0+p9Pp8Nhjj0Gn0ykdit/jczUyfL5cx+fKdXyuXMfnynV8rlznz88VDxsSEREREbmBFWkiIiIiIjcwkSYiIiIicgMTaSIiIiIiNzCRJiIiIiJyAxNp8oktW7ZAEARs2LCh3+dPnTqFVatWQa/XIyYmBpdddhkqKyuVCdJPDPRcdXZ24ic/+QnGjRuHiIgITJs2Db///e+VC1JBjz/+OARB6PeRlpYm3y6KIh5//HGkp6cjIiICV111FU6cOKFgxMoZ6rmyWCx48MEHkZeXh6ioKKSnp+MHP/gBzp07p3DUyhju56qvu+++G4Ig4MUXX/RtkH7CleeKr+0Owz1XfG3vr6amBrfeeisSExMRGRmJiy66CEeOHJFv98fXd242JK/78ssv8cc//hEzZ87s9/mSkhJcccUVuOOOO/CrX/0Ker0ep06dQnh4uEKRKm+w5+qnP/0pPv30U7z55puYMGECdu/ejXvuuQfp6em47rrrFIpWOTNmzMDHH38s/1mtVsv//5lnnsHWrVvx2muvYcqUKfj1r3+NxYsXo6ioCDExMUqEq6jBnqvu7m4cPXoUjz76KGbNmoXW1lZs2LABq1atwldffaVUuIoa6udK8t577+HQoUNIT0/3ZWh+Z6jniq/t/Q31XPG1vVdraysuv/xyLFy4EB999BFSUlJQUlKCuLg4+Rq/fH0Xibyoo6NDzM7OFvfs2SMuWLBAvO++++Tbvve974m33nqrcsH5maGeqxkzZohPPPFEv+svvvhi8Re/+IWPo1TeY489Js6aNWvA2+x2u5iWliY+/fTT8ueMRqOo1+vFV155xUcR+o+hnquBHD58WAQgVlRUeC8oP+XKc1VdXS2OHTtWLCwsFDMzM8UXXnjBJ7H5m+GeK7629xruueJre68HH3xQvOKKKwa93V9f39naQV714x//GCtWrMCiRYv6fd5ut2Pnzp2YMmUKli5dipSUFMydOxfvvfeeMoH6gcGeKwC44oor8P7776OmpgaiKOLTTz9FcXExli5dqkCkyjtz5gzS09MxceJEfP/730dpaSkAoKysDHV1dViyZIl8rU6nw4IFC7B//36lwlXUYM/VQAwGAwRB6FcBCiVDPVd2ux1r167Fz372M8yYMUPBKP3DYM8VX9svNNTPFV/be73//vu45JJL8N3vfhcpKSmYPXs2Xn31Vfl2f319ZyJNXrN9+3YcPXoUW7ZsueC2hoYGdHZ24umnn8ayZcuwe/du3HDDDbjxxhvx2WefKRCtsoZ6rgDgpZdewvTp0zFu3DhotVosW7YMv/vd73DFFVf4OFLlzZ07F3/729+wa9cuvPrqq6irq8P8+fPR3NyMuro6AEBqamq/r0lNTZVvCyVDPVfnMxqNeOihh7BmzRrExsYqEK2yhnuufvOb30Cj0WD9+vUKR6q8oZ4rvrb3N9zPFV/be5WWluL3v/89srOzsWvXLvzoRz/C+vXr8be//Q0A/Pf1XbFaOAW1yspKMSUlRSwoKJA/17ddoaamRgQg3nLLLf2+7tprrxW///3v+zJUxQ33XImiKD777LPilClTxPfff1/8+uuvxZdfflmMjo4W9+zZo0DE/qWzs1NMTU0Vn3/+efGLL74QAYjnzp3rd82dd94pLl26VKEI/Uff56ovs9ksXnfd/2/vfkOiaNc4jv9Mbdf+YFBQa2UEhvbPsDKsSIkkg6QTFlr0h6IigjJiCSqL3iQEJQSFlWRZJGGUSZEQRmZZhBQsLia2oEJFsC/SgiVsde/zIp7Ntcjz7Hl09hy/H5gXO/eMXHMxe3Fx7z3jv0xaWpr58uWLRdFFlv65ev36tZk8ebL5+PFjcHwkL+0YqH+uqO1/NvA7SG3/KTY21ixdujRk34EDB0xGRoYxxkRsfedhQwyJN2/eyOv1atGiRcF9fX19evbsmS5cuCCfz6eYmBjNmTMn5LzZs2ersbFxuMO11GC5+vLli44dO6Z79+5p7dq1kqTU1FS5XC6dPXv2t0tBRpKxY8dq/vz58ng8Wr9+vaQfMxcOhyN4jNfr/WUWYyTqn6u/+P1+5efnq6OjQ0+ePBmRs9G/0z9Xo0aNktfrVWJiYnC8r69PTqdT586dU2dnp3WBRoD+uZo0aRK1/Q/65+rbt2/U9n4cDsdv75u7d+9KUvBtJ5FW31nagSGxatUqud1uuVyu4LZ48WJt2bJFLpdLNptN6enpamtrCznv3bt3mjFjhkVRW2OwXPX19cnv92vUqNCva3R0tAKBgEVRR46enh61trbK4XBo5syZmjJliurq6oLj379/V0NDg5YtW2ZhlJGhf66kn020x+PR48ePNXHiRIsjjBz9c7Vt2zY1NzeHfEcTEhJ0+PBhPXr0yOpQLdc/V6NHj6a2/0H/XPn9fmp7P8uXL//jfROx9d2yuXCMOAOXK1RXV5vY2FhTVlZmPB6POX/+vImOjjbPnz+3LsgIMTBXWVlZZu7cuaa+vt60t7eba9euGbvdbkpLS60L0iJOp9M8ffrUtLe3m1evXpnc3Fwzfvx409nZaYwx5vTp0yY+Pt5UV1cbt9ttNm/ebBwOh/n69avFkQ+/P+XK7/ebdevWmWnTphmXy2U+ffoU3Hp6eqwOfdgNdl8NNJKXdgyWK2r7T4Plitr+U1NTk4mJiTHFxcXG4/GYyspKM2bMGHPz5s3gMZFY32mkMWwGNofGGFNeXm6SkpKM3W43CxYsMDU1NdYEF2EG5urTp09mx44dJiEhwdjtdpOcnGxKSkpMIBCwLkiLFBQUGIfDYWJjY01CQoLJy8szLS0twfFAIGBOnjxppkyZYmw2m8nMzDRut9vCiK3zp1x1dHQYSb/d6uvrrQ3cAoPdVwON5Eb6P8kVtf2HwXJFbQ/14MEDM2/ePGOz2UxKSoopKysLGY/E+h5ljDHWzYcDAAAA/5tYIw0AAACEgUYaAAAACAONNAAAABAGGmkAAAAgDDTSAAAAQBhopAEAAIAw0EgDAAAAYaCRBgAAAMJAIw0A+K2XL18qOjpaa9assToUAIhI/GdDAMBv7d69W+PGjdOVK1f09u1bJSYmWh0SAEQUZqQBAL/w+Xy6ffu29u3bp9zcXFVUVISM379/X7NmzVJcXJxWrlyp69evKyoqSt3d3cFjXr58qczMTMXFxWn69OkqLCyUz+cb3gsBgCFEIw0A+EVVVZWSk5OVnJysrVu36tq1a/rrB8zOzk5t3LhR69evl8vl0t69e1VUVBRyvtvtVk5OjvLy8tTc3Kyqqio1NjZq//79VlwOAAwJlnYAAH6xfPly5efn6+DBg+rt7ZXD4dCtW7eUnZ2tI0eO6OHDh3K73cHjjx8/ruLiYnV1dWnChAnavn274uLidPny5eAxjY2NysrKks/nk91ut+KyAOAfxYw0ACBEW1ubmpqatGnTJklSTEyMCgoKdPXq1eB4enp6yDlLliwJ+fzmzRtVVFRo3LhxwS0nJ0eBQEAdHR3DcyEAMMRirA4AABBZysvL1dvbq6lTpwb3GWMUGxurrq4uGWMUFRUVcs7AHzcDgYD27t2rwsLCX/4+Dy0C+H9BIw0ACOrt7dWNGzdUUlKi1atXh4xt2LBBlZWVSklJUW1tbcjY69evQz4vXLhQLS0tSkpKGvKYAcAqrJEGAATV1NSooKBAXq9X8fHxIWNFRUWqra1VdXW1kpOTdejQIe3atUsul0tOp1MfPnxQd3e34uPj1dzcrIyMDO3cuVN79uzR2LFj1draqrq6Op0/f96iqwOAfxZrpAEAQeXl5crOzv6liZZ+zEi7XC51dXXpzp07qq6uVmpqqi5evBh8a4fNZpMkpaamqqGhQR6PRytWrFBaWppOnDghh8MxrNcDAEOJGWkAwH+tuLhYly5d0vv3760OBQCGDWukAQB/W2lpqdLT0zVx4kS9ePFCZ86c4R3RAEYcGmkAwN/m8Xh06tQpff78WYmJiXI6nTp69KjVYQHAsGJpBwAAABAGHjYEAAAAwkAjDQAAAISBRhoAAAAIA400AAAAEAYaaQAAACAMNNIAAABAGGikAQAAgDDQSAMAAABhoJEGAAAAwvBv8UfSNoDAseQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# your code goes here\n",
    "\n",
    "QUERY = \"\"\"\n",
    "SELECT ConvertedComp, Age\n",
    "FROM master\n",
    "WHERE Age BETWEEN 45 AND 60\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "\n",
    "medians = df.groupby('Age')['ConvertedComp'].median()\n",
    "\n",
    "data = pd.DataFrame(list(zip(medians.index, medians.values)),\n",
    "               columns =['Age', 'MedConvertedComp'])\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [8,8]\n",
    "\n",
    "sns.lineplot(data=data, x='Age', y = 'MedConvertedComp')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bar Chart\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a horizontal bar chart using column `MainBranch.`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# your code goes here\n",
    "QUERY = \"\"\"\n",
    "SELECT MainBranch, COUNT(*) AS Frequency\n",
    "FROM master\n",
    "GROUP BY MainBranch\n",
    "\n",
    "\"\"\"\n",
    "df = pd.read_sql_query(QUERY,conn)\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [14, 8]\n",
    "\n",
    "sns.barplot(data = df, y = 'MainBranch', x = 'Frequency', orient = 'h')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Close the database connection.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "conn.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Authors\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ramesh Sannareddy\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Other Contributors\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rav Ahuja\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Change Log\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Date (YYYY-MM-DD) | Version | Changed By        | Change Description                 |\n",
    "| ----------------- | ------- | ----------------- | ---------------------------------- |\n",
    "| 2020-10-17        | 0.1     | Ramesh Sannareddy | Created initial version of the lab |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Copyright © 2020 IBM Corporation. This notebook and its source code are released under the terms of the [MIT License](https://cognitiveclass.ai/mit-license?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDA0321ENSkillsNetwork928-2023-01-01&cm_mmc=Email_Newsletter-_-Developer_Ed%2BTech-_-WW_WW-_-SkillsNetwork-Courses-IBM-DA0321EN-SkillsNetwork-21426264&cm_mmca1=000026UJ&cm_mmca2=10006555&cm_mmca3=M12345678&cvosrc=email.Newsletter.M12345678&cvo_campaign=000026UJ).\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python",
   "language": "python",
   "name": "conda-env-python-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}