part_4.EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "WdCymrFIT2SX"
   },
   "source": [
    "# Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Note: All the data we will work with in this workshop is just a sample of data that you will be given during the event itself!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "kggx7dYzUKTZ"
   },
   "source": [
    "## Some package imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -U -q datalearn19intro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 50
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 8886,
     "status": "ok",
     "timestamp": 1565862144934,
     "user": {
      "displayName": "Shay Palachy",
      "photoUrl": "https://lh5.googleusercontent.com/-_8J8Je8o3NQ/AAAAAAAAAAI/AAAAAAAAFOE/d2-wJaGxpaA/s64/photo.jpg",
      "userId": "01723284119030760908"
     },
     "user_tz": -180
    },
    "id": "cfUsuFH5Q5WK",
    "outputId": "3b9f7b54-7a06-4101-d520-1b401aa2dfd8"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from datalearn19intro import get_accounts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "BXKdWINCUTqk"
   },
   "source": [
    "## Reading the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 292
    },
    "colab_type": "code",
    "executionInfo": {
     "elapsed": 1508,
     "status": "ok",
     "timestamp": 1565862944965,
     "user": {
      "displayName": "Shay Palachy",
      "photoUrl": "https://lh5.googleusercontent.com/-_8J8Je8o3NQ/AAAAAAAAAAI/AAAAAAAAFOE/d2-wJaGxpaA/s64/photo.jpg",
      "userId": "01723284119030760908"
     },
     "user_tz": -180
    },
    "id": "7nnRSFr3THC4",
    "outputId": "56af3b2e-9efc-4eaf-942e-ded0ea77c8ab"
   },
   "outputs": [],
   "source": [
    "acc = get_accounts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1001, 49)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>account_id</th>\n",
       "      <th>marketing_source</th>\n",
       "      <th>marketing_referrer</th>\n",
       "      <th>created_at</th>\n",
       "      <th>plan_id</th>\n",
       "      <th>trial_start</th>\n",
       "      <th>started_plan_at</th>\n",
       "      <th>signup_box_origin</th>\n",
       "      <th>churn_state</th>\n",
       "      <th>churn_date</th>\n",
       "      <th>churn_reason</th>\n",
       "      <th>time_diff</th>\n",
       "      <th>region</th>\n",
       "      <th>country</th>\n",
       "      <th>subscription_started_at</th>\n",
       "      <th>paying</th>\n",
       "      <th>is_gmail</th>\n",
       "      <th>has_logo</th>\n",
       "      <th>free_users</th>\n",
       "      <th>marketing_banner</th>\n",
       "      <th>device</th>\n",
       "      <th>os</th>\n",
       "      <th>browser</th>\n",
       "      <th>collection_21_days</th>\n",
       "      <th>trial_period</th>\n",
       "      <th>company_size</th>\n",
       "      <th>next_charge_date</th>\n",
       "      <th>last_upgrade_promotion_start</th>\n",
       "      <th>cs_agent</th>\n",
       "      <th>sales_agent</th>\n",
       "      <th>disabled</th>\n",
       "      <th>payment_currency</th>\n",
       "      <th>disable_promotion</th>\n",
       "      <th>max_team_size</th>\n",
       "      <th>min_team_size</th>\n",
       "      <th>cancellation_on_renewal_date</th>\n",
       "      <th>partner_id</th>\n",
       "      <th>industry</th>\n",
       "      <th>billed_users_count</th>\n",
       "      <th>utm_cluster_id</th>\n",
       "      <th>pricing_version</th>\n",
       "      <th>has_domain</th>\n",
       "      <th>mrr</th>\n",
       "      <th>lead_score</th>\n",
       "      <th>industry.1</th>\n",
       "      <th>team_size</th>\n",
       "      <th>user_goal</th>\n",
       "      <th>user_description</th>\n",
       "      <th>sub_industry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2793496</td>\n",
       "      <td>bing</td>\n",
       "      <td>https://www.bing.com/search?q=basecamp login</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>none</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>New South Wales</td>\n",
       "      <td>AU</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>desktop</td>\n",
       "      <td>windows</td>\n",
       "      <td>microsoft edge</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AUD</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>orders</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2793497</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mobile_app</td>\n",
       "      <td>none</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mobile</td>\n",
       "      <td>ios</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>USD</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2793498</td>\n",
       "      <td>adwordsverticals</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>none</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>desktop</td>\n",
       "      <td>windows</td>\n",
       "      <td>chrome</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>USD</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other</td>\n",
       "      <td>0</td>\n",
       "      <td>todos</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2793499</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mobile_app</td>\n",
       "      <td>none</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tel Aviv</td>\n",
       "      <td>IL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mobile</td>\n",
       "      <td>android</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>USD</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2793500</td>\n",
       "      <td>adwordsyoutube</td>\n",
       "      <td>https://www.youtube.com/</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019-04-04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>none</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>desktop</td>\n",
       "      <td>chrome_os</td>\n",
       "      <td>chrome</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>USD</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Design</td>\n",
       "      <td>0</td>\n",
       "      <td>todos</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Design</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   account_id  marketing_source                            marketing_referrer  created_at  plan_id  ... industry.1 team_size user_goal user_description sub_industry\n",
       "0     2793496              bing  https://www.bing.com/search?q=basecamp login  2019-01-01      NaN  ...        NaN       NaN       NaN              NaN          NaN\n",
       "1     2793497               NaN                                           NaN  2019-01-01      NaN  ...        NaN       NaN       NaN              NaN          NaN\n",
       "2     2793498  adwordsverticals                       https://www.google.com/  2019-01-01      NaN  ...      Other         1       NaN              NaN          NaN\n",
       "3     2793499               NaN                                           NaN  2019-01-01      NaN  ...        NaN       NaN       NaN              NaN          NaN\n",
       "4     2793500    adwordsyoutube                      https://www.youtube.com/  2019-01-01      NaN  ...     Design         1       NaN              NaN          NaN\n",
       "\n",
       "[5 rows x 49 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summary statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`pandas`' build-it `describe()` method provides with an easy overview of many of the important summary statistics we've mentioned:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "B3qWVcNjTsoq"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>account_id</th>\n",
       "      <th>plan_id</th>\n",
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       "      <th>time_diff</th>\n",
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       "      <th>sales_agent</th>\n",
       "      <th>disabled</th>\n",
       "      <th>disable_promotion</th>\n",
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       "      <th>count</th>\n",
       "      <td>1.001000e+03</td>\n",
       "      <td>15.00000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>782.000000</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>145.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>737.000000</td>\n",
       "      <td>737.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.793996e+06</td>\n",
       "      <td>230.60000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.671036</td>\n",
       "      <td>0.014985</td>\n",
       "      <td>0.679321</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>8.173826</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5676.137931</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>291.000000</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.058941</td>\n",
       "      <td>23.105834</td>\n",
       "      <td>13.769335</td>\n",
       "      <td>NaN</td>\n",
       "      <td>235.912281</td>\n",
       "      <td>0.068931</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.334665</td>\n",
       "      <td>30.030303</td>\n",
       "      <td>0.020979</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.891081e+02</td>\n",
       "      <td>19.82711</td>\n",
       "      <td>4.112067</td>\n",
       "      <td>5.714890</td>\n",
       "      <td>0.121553</td>\n",
       "      <td>0.466971</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.479698</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18341.451042</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.290283</td>\n",
       "      <td>0.353553</td>\n",
       "      <td>0.235632</td>\n",
       "      <td>83.188985</td>\n",
       "      <td>61.467060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148.263313</td>\n",
       "      <td>0.685743</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.472109</td>\n",
       "      <td>35.144776</td>\n",
       "      <td>0.143386</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.793496e+06</td>\n",
       "      <td>199.00000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>-9.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>209.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.793746e+06</td>\n",
       "      <td>230.50000</td>\n",
       "      <td>13.750000</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.0</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>228.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.793996e+06</td>\n",
       "      <td>232.00000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.0</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>249.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.794246e+06</td>\n",
       "      <td>235.00000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1600.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>345.250000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>336.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.794496e+06</td>\n",
       "      <td>268.00000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>13.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1428.000000</td>\n",
       "      <td>14.0</td>\n",
       "      <td>123020.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>409.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>571.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         account_id    plan_id  churn_reason   time_diff       paying     is_gmail  ...   has_domain         mrr   lead_score  user_goal  user_description  sub_industry\n",
       "count  1.001000e+03   15.00000     12.000000  782.000000  1001.000000  1001.000000  ...  1001.000000   33.000000  1001.000000        0.0               0.0           0.0\n",
       "mean   2.793996e+06  230.60000     15.000000    0.671036     0.014985     0.679321  ...     0.334665   30.030303     0.020979        NaN               NaN           NaN\n",
       "std    2.891081e+02   19.82711      4.112067    5.714890     0.121553     0.466971  ...     0.472109   35.144776     0.143386        NaN               NaN           NaN\n",
       "min    2.793496e+06  199.00000      4.000000   -9.000000     0.000000     0.000000  ...     0.000000    0.000000     0.000000        NaN               NaN           NaN\n",
       "25%    2.793746e+06  230.50000     13.750000   -5.000000     0.000000     0.000000  ...     0.000000    0.000000     0.000000        NaN               NaN           NaN\n",
       "50%    2.793996e+06  232.00000     16.000000    1.000000     0.000000     1.000000  ...     0.000000   25.000000     0.000000        NaN               NaN           NaN\n",
       "75%    2.794246e+06  235.00000     18.000000    3.500000     0.000000     1.000000  ...     1.000000   48.000000     0.000000        NaN               NaN           NaN\n",
       "max    2.794496e+06  268.00000     18.000000   13.750000     1.000000     1.000000  ...     1.000000  134.000000     1.000000        NaN               NaN           NaN\n",
       "\n",
       "[8 rows x 28 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a great opportunity to learn how to configure the way `pandas` dataframes are displayed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.float_format = '{:,.2f}'.format\n",
    "pd.set_option('display.max_columns', 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "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>account_id</th>\n",
       "      <th>plan_id</th>\n",
       "      <th>churn_reason</th>\n",
       "      <th>time_diff</th>\n",
       "      <th>paying</th>\n",
       "      <th>is_gmail</th>\n",
       "      <th>has_logo</th>\n",
       "      <th>free_users</th>\n",
       "      <th>collection_21_days</th>\n",
       "      <th>trial_period</th>\n",
       "      <th>company_size</th>\n",
       "      <th>last_upgrade_promotion_start</th>\n",
       "      <th>cs_agent</th>\n",
       "      <th>sales_agent</th>\n",
       "      <th>disabled</th>\n",
       "      <th>disable_promotion</th>\n",
       "      <th>max_team_size</th>\n",
       "      <th>min_team_size</th>\n",
       "      <th>cancellation_on_renewal_date</th>\n",
       "      <th>partner_id</th>\n",
       "      <th>billed_users_count</th>\n",
       "      <th>pricing_version</th>\n",
       "      <th>has_domain</th>\n",
       "      <th>mrr</th>\n",
       "      <th>lead_score</th>\n",
       "      <th>user_goal</th>\n",
       "      <th>user_description</th>\n",
       "      <th>sub_industry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1,001.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>782.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>737.00</td>\n",
       "      <td>737.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>57.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>33.00</td>\n",
       "      <td>1,001.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2,793,996.00</td>\n",
       "      <td>230.60</td>\n",
       "      <td>15.00</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.68</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>8.17</td>\n",
       "      <td>14.00</td>\n",
       "      <td>5,676.14</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>291.00</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.06</td>\n",
       "      <td>23.11</td>\n",
       "      <td>13.77</td>\n",
       "      <td>nan</td>\n",
       "      <td>235.91</td>\n",
       "      <td>0.07</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.33</td>\n",
       "      <td>30.03</td>\n",
       "      <td>0.02</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>289.11</td>\n",
       "      <td>19.83</td>\n",
       "      <td>4.11</td>\n",
       "      <td>5.71</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>80.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>18,341.45</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>78.29</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.24</td>\n",
       "      <td>83.19</td>\n",
       "      <td>61.47</td>\n",
       "      <td>nan</td>\n",
       "      <td>148.26</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.47</td>\n",
       "      <td>35.14</td>\n",
       "      <td>0.14</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2,793,496.00</td>\n",
       "      <td>199.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>-9.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>209.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>101.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2,793,746.00</td>\n",
       "      <td>230.50</td>\n",
       "      <td>13.75</td>\n",
       "      <td>-5.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>228.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>110.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2,793,996.00</td>\n",
       "      <td>232.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>150.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>249.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>199.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>25.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2,794,246.00</td>\n",
       "      <td>235.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>3.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>1,600.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>345.25</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>336.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>48.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2,794,496.00</td>\n",
       "      <td>268.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>13.75</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1,428.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>123,020.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>409.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>500.00</td>\n",
       "      <td>500.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>571.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>134.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        account_id  plan_id  churn_reason  time_diff   paying  is_gmail  \\\n",
       "count     1,001.00    15.00         12.00     782.00 1,001.00  1,001.00   \n",
       "mean  2,793,996.00   230.60         15.00       0.67     0.01      0.68   \n",
       "std         289.11    19.83          4.11       5.71     0.12      0.47   \n",
       "min   2,793,496.00   199.00          4.00      -9.00     0.00      0.00   \n",
       "25%   2,793,746.00   230.50         13.75      -5.00     0.00      0.00   \n",
       "50%   2,793,996.00   232.00         16.00       1.00     0.00      1.00   \n",
       "75%   2,794,246.00   235.00         18.00       3.50     0.00      1.00   \n",
       "max   2,794,496.00   268.00         18.00      13.75     1.00      1.00   \n",
       "\n",
       "       has_logo  free_users  collection_21_days  trial_period  company_size  \\\n",
       "count  1,001.00        0.00            1,001.00      1,001.00        145.00   \n",
       "mean       1.00         nan                8.17         14.00      5,676.14   \n",
       "std        0.00         nan               80.48          0.00     18,341.45   \n",
       "min        1.00         nan                0.00         14.00          1.00   \n",
       "25%        1.00         nan                0.00         14.00         15.00   \n",
       "50%        1.00         nan                0.00         14.00        150.00   \n",
       "75%        1.00         nan                0.00         14.00      1,600.00   \n",
       "max        1.00         nan            1,428.00         14.00    123,020.00   \n",
       "\n",
       "       last_upgrade_promotion_start  cs_agent  sales_agent  disabled  \\\n",
       "count                          0.00      0.00        20.00      8.00   \n",
       "mean                            nan       nan       291.00      0.88   \n",
       "std                             nan       nan        78.29      0.35   \n",
       "min                             nan       nan       209.00      0.00   \n",
       "25%                             nan       nan       228.00      1.00   \n",
       "50%                             nan       nan       249.50      1.00   \n",
       "75%                             nan       nan       345.25      1.00   \n",
       "max                             nan       nan       409.00      1.00   \n",
       "\n",
       "       disable_promotion  max_team_size  min_team_size  \\\n",
       "count           1,001.00         737.00         737.00   \n",
       "mean                0.06          23.11          13.77   \n",
       "std                 0.24          83.19          61.47   \n",
       "min                 0.00           0.00           0.00   \n",
       "25%                 0.00           1.00           1.00   \n",
       "50%                 0.00           5.00           2.00   \n",
       "75%                 0.00          10.00           6.00   \n",
       "max                 1.00         500.00         500.00   \n",
       "\n",
       "       cancellation_on_renewal_date  partner_id  billed_users_count  \\\n",
       "count                          0.00       57.00            1,001.00   \n",
       "mean                            nan      235.91                0.07   \n",
       "std                             nan      148.26                0.69   \n",
       "min                             nan      101.00                0.00   \n",
       "25%                             nan      110.00                0.00   \n",
       "50%                             nan      199.00                0.00   \n",
       "75%                             nan      336.00                0.00   \n",
       "max                             nan      571.00               15.00   \n",
       "\n",
       "       pricing_version  has_domain    mrr  lead_score  user_goal  \\\n",
       "count         1,001.00    1,001.00  33.00    1,001.00       0.00   \n",
       "mean              3.00        0.33  30.03        0.02        nan   \n",
       "std               0.00        0.47  35.14        0.14        nan   \n",
       "min               3.00        0.00   0.00        0.00        nan   \n",
       "25%               3.00        0.00   0.00        0.00        nan   \n",
       "50%               3.00        0.00  25.00        0.00        nan   \n",
       "75%               3.00        1.00  48.00        0.00        nan   \n",
       "max               3.00        1.00 134.00        1.00        nan   \n",
       "\n",
       "       user_description  sub_industry  \n",
       "count              0.00          0.00  \n",
       "mean                nan           nan  \n",
       "std                 nan           nan  \n",
       "min                 nan           nan  \n",
       "25%                 nan           nan  \n",
       "50%                 nan           nan  \n",
       "75%                 nan           nan  \n",
       "max                 nan           nan  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "account_id                         0\n",
       "marketing_source                 409\n",
       "marketing_referrer               271\n",
       "created_at                         0\n",
       "plan_id                          986\n",
       "trial_start                        0\n",
       "started_plan_at                  986\n",
       "signup_box_origin                739\n",
       "churn_state                       17\n",
       "churn_date                       999\n",
       "churn_reason                     989\n",
       "time_diff                        219\n",
       "region                            77\n",
       "country                           22\n",
       "subscription_started_at          982\n",
       "paying                             0\n",
       "is_gmail                           0\n",
       "has_logo                           0\n",
       "free_users                      1001\n",
       "marketing_banner                 785\n",
       "device                             0\n",
       "os                                 0\n",
       "browser                          218\n",
       "collection_21_days                 0\n",
       "trial_period                       0\n",
       "company_size                     856\n",
       "next_charge_date                 985\n",
       "last_upgrade_promotion_start    1001\n",
       "cs_agent                        1001\n",
       "sales_agent                      981\n",
       "disabled                         993\n",
       "payment_currency                   1\n",
       "disable_promotion                  0\n",
       "max_team_size                    264\n",
       "min_team_size                    264\n",
       "cancellation_on_renewal_date    1001\n",
       "partner_id                       944\n",
       "industry                         509\n",
       "billed_users_count                 0\n",
       "utm_cluster_id                   484\n",
       "pricing_version                    0\n",
       "has_domain                         0\n",
       "mrr                              968\n",
       "lead_score                         0\n",
       "industry.1                       507\n",
       "team_size                        516\n",
       "user_goal                       1001\n",
       "user_description                1001\n",
       "sub_industry                    1001\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "account_id                       0.00\n",
       "marketing_source                40.86\n",
       "marketing_referrer              27.07\n",
       "created_at                       0.00\n",
       "plan_id                         98.50\n",
       "trial_start                      0.00\n",
       "started_plan_at                 98.50\n",
       "signup_box_origin               73.83\n",
       "churn_state                      1.70\n",
       "churn_date                      99.80\n",
       "churn_reason                    98.80\n",
       "time_diff                       21.88\n",
       "region                           7.69\n",
       "country                          2.20\n",
       "subscription_started_at         98.10\n",
       "paying                           0.00\n",
       "is_gmail                         0.00\n",
       "has_logo                         0.00\n",
       "free_users                     100.00\n",
       "marketing_banner                78.42\n",
       "device                           0.00\n",
       "os                               0.00\n",
       "browser                         21.78\n",
       "collection_21_days               0.00\n",
       "trial_period                     0.00\n",
       "company_size                    85.51\n",
       "next_charge_date                98.40\n",
       "last_upgrade_promotion_start   100.00\n",
       "cs_agent                       100.00\n",
       "sales_agent                     98.00\n",
       "disabled                        99.20\n",
       "payment_currency                 0.10\n",
       "disable_promotion                0.00\n",
       "max_team_size                   26.37\n",
       "min_team_size                   26.37\n",
       "cancellation_on_renewal_date   100.00\n",
       "partner_id                      94.31\n",
       "industry                        50.85\n",
       "billed_users_count               0.00\n",
       "utm_cluster_id                  48.35\n",
       "pricing_version                  0.00\n",
       "has_domain                       0.00\n",
       "mrr                             96.70\n",
       "lead_score                       0.00\n",
       "industry.1                      50.65\n",
       "team_size                       51.55\n",
       "user_goal                      100.00\n",
       "user_description               100.00\n",
       "sub_industry                   100.00\n",
       "dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.isna().sum() / len(acc) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "account_id                      1001\n",
       "marketing_source                  25\n",
       "marketing_referrer               152\n",
       "created_at                         1\n",
       "plan_id                           10\n",
       "trial_start                       54\n",
       "started_plan_at                   15\n",
       "signup_box_origin                  6\n",
       "churn_state                        2\n",
       "churn_date                         2\n",
       "churn_reason                       4\n",
       "time_diff                         27\n",
       "region                           249\n",
       "country                           70\n",
       "subscription_started_at           19\n",
       "paying                             2\n",
       "is_gmail                           2\n",
       "has_logo                           1\n",
       "free_users                         0\n",
       "marketing_banner                  68\n",
       "device                             3\n",
       "os                                 6\n",
       "browser                            7\n",
       "collection_21_days                17\n",
       "trial_period                       1\n",
       "company_size                      82\n",
       "next_charge_date                  15\n",
       "last_upgrade_promotion_start       0\n",
       "cs_agent                           0\n",
       "sales_agent                       10\n",
       "disabled                           2\n",
       "payment_currency                   5\n",
       "disable_promotion                  2\n",
       "max_team_size                      9\n",
       "min_team_size                     10\n",
       "cancellation_on_renewal_date       0\n",
       "partner_id                        22\n",
       "industry                          28\n",
       "billed_users_count                 8\n",
       "utm_cluster_id                    15\n",
       "pricing_version                    1\n",
       "has_domain                         2\n",
       "mrr                               14\n",
       "lead_score                         2\n",
       "industry.1                        28\n",
       "team_size                         15\n",
       "user_goal                          0\n",
       "user_description                   0\n",
       "sub_industry                       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "windows      343\n",
       "ios          327\n",
       "mac          200\n",
       "android      115\n",
       "chrome_os     10\n",
       "linux          6\n",
       "Name: os, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.os.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "USD    699\n",
       "EUR    128\n",
       "AUD     83\n",
       "GBP     63\n",
       "CAD     27\n",
       "Name: payment_currency, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.payment_currency.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Other                   90\n",
       "Administrative          36\n",
       "Business Owner          36\n",
       "Project Management      33\n",
       "Creative                33\n",
       "Business Development    31\n",
       "Education               29\n",
       "Accounting              20\n",
       "IT                      20\n",
       "Design                  19\n",
       "Software Development    18\n",
       "Marketing               18\n",
       "Sales                   18\n",
       "Events                  14\n",
       "Consulting              11\n",
       "Customer Support         8\n",
       "Architecture             8\n",
       "Healthcare               6\n",
       "Manufacturing            6\n",
       "Operations               6\n",
       "Research                 6\n",
       "Product Management       6\n",
       "Finance                  6\n",
       "Real estate              5\n",
       "Software Engineering     4\n",
       "BI                       3\n",
       "Data                     1\n",
       "HR                       1\n",
       "Name: industry, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.industry.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "adwordssearch            149\n",
       "adwordsyoutube            87\n",
       "facebook                  82\n",
       "instagram                 61\n",
       "mb                        49\n",
       "adwordsbrand              36\n",
       "adwordsverticals          33\n",
       "outbrain                  27\n",
       "capterra                  21\n",
       "adwordslocals             11\n",
       "bing                      10\n",
       "adwordsremarketing         4\n",
       "twitter_desktop            4\n",
       "getapp                     3\n",
       "bingbrand                  3\n",
       "quoraremarketing           2\n",
       "facebookremarketing        2\n",
       "newsletter                 1\n",
       "notification               1\n",
       "quorarefunneling           1\n",
       "twitter                    1\n",
       "adwordsgdn                 1\n",
       "partner                    1\n",
       "guest_conversion           1\n",
       "dbm_video_remarketing      1\n",
       "Name: marketing_source, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acc.marketing_source.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Histograms can be very telling when used to plot numerical features.\n",
    "In this case we can see company is very skewed; a long tail distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x110d7a5f8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc.company_size.hist(figsize=(12,8), bins=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x112ed5ac8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAskAAAHVCAYAAAADyWaQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAGC9JREFUeJzt3W+MZXd93/HPt95AGi/4D0Yry3azpnGpLFAbPKKuSNAujoiBFLstQkZWMMTVqhWkUBIVp0glT6qaViQiahS0jUlMRVnAIbIFpcF1mSI/sFMMDv8M8WKbBMvYSTAm40RNTH99MMd0+OL1eueeO+OZfb2k0d575txzz3znzPjtO+feW2OMAAAA/9/f2O4dAACApxuRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAAJo9270DSXLWWWeN/fv3b/n9Pvroozn11FO3/H53O3Odn5kuh7nOz0znZ6bLYa7z2ykzveOOO/50jPHc4633tIjk/fv35zOf+cyW3+/q6moOHDiw5fe725nr/Mx0Ocx1fmY6PzNdDnOd306ZaVV9/ams53QLAABoRDIAADQiGQAAmuNGclW9r6oeqqovblh2ZlXdXFV3T/+eMS2vqvq1qjpaVZ+vqhctc+cBAGAZnsojyb+d5NK27Jokt4wxLkhyy3Q9SV6R5ILp41CS35hnNwEAYOscN5LHGJ9O8q22+LIk10+Xr09y+Ybl7x/rbktyelWdPdfOAgDAVqgxxvFXqtqf5GNjjBdM1789xjh9ulxJHh5jnF5VH0ty7Rjj1ulztyR5+xjjB17fraoOZf3R5uzbt++iI0eOzPMVnYC1tbXs3bt3y+93tzPX+Znpcpjr/Mx0fma6HOY6v50y04MHD94xxlg53noLv07yGGNU1fFL+wdvdzjJ4SRZWVkZ2/G6ejvl9fx2GnOdn5kuh7nOz0znZ6bLYa7z220z3eyrWzz4+GkU078PTcvvT3LehvXOnZYBAMCOsdlIvinJVdPlq5LcuGH566dXubg4ySNjjAcW3EcAANhSxz3doqo+mORAkrOq6htJ3pnk2iQfrqqrk3w9yWun1f9bklcmOZrkL5K8cQn7DAAAS3XcSB5jvO4Yn7rkCdYdSd606E4BAMB28o57AADQiGQAAGhEMgAANCIZAAAakQwAAI1IBgCARiQDAEBz3NdJ3u32X/PxWbd337WvmnV7AABsPY8kAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoForkqvpXVfWlqvpiVX2wqn64qs6vqtur6mhVfaiqnjHXzgIAwFbYdCRX1TlJ/mWSlTHGC5KckuSKJO9K8qtjjB9L8nCSq+fYUQAA2CqLnm6xJ8nfrKo9SX4kyQNJXpbkhunz1ye5fMH7AACALVVjjM3fuOotSf5dkr9M8skkb0ly2/QocqrqvCSfmB5p7rc9lORQkuzbt++iI0eObHo/NmttbS33PvLdWbf5wnNOm3V7O9Ha2lr27t273buxq5jpcpjr/Mx0fma6HOY6v50y04MHD94xxlg53np7NnsHVXVGksuSnJ/k20k+kuTSp3r7McbhJIeTZGVlZRw4cGCzu7Jpq6urefetj866zfuuPDDr9nai1dXVbMf3czcz0+Uw1/mZ6fzMdDnMdX67baaLnG7xU0nuHWP8yRjjr5N8NMlLkpw+nX6RJOcmuX/BfQQAgC21SCT/UZKLq+pHqqqSXJLky0k+leQ10zpXJblxsV0EAICttelIHmPcnvUn6H02yRembR1O8vYkb6uqo0mek+S6GfYTAAC2zKbPSU6SMcY7k7yzLb4nyYsX2S4AAGwn77gHAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKBZKJKr6vSquqGqvlJVd1XVP6yqM6vq5qq6e/r3jLl2FgAAtsKijyS/J8l/H2P83SR/L8ldSa5JcssY44Ikt0zXAQBgx9h0JFfVaUlemuS6JBlj/NUY49tJLkty/bTa9UkuX3QnAQBgKy3ySPL5Sf4kyW9V1eeq6jer6tQk+8YYD0zrfDPJvkV3EgAAtlKNMTZ3w6qVJLcleckY4/aqek+S7yT5+THG6RvWe3iM8QPnJVfVoSSHkmTfvn0XHTlyZFP7sYi1tbXc+8h3Z93mC885bdbt7URra2vZu3fvdu/GrmKmy2Gu8zPT+Znpcpjr/HbKTA8ePHjHGGPleOvtWeA+vpHkG2OM26frN2T9/OMHq+rsMcYDVXV2koee6MZjjMNJDifJysrKOHDgwAK7sjmrq6t5962PzrrN+648MOv2dqLV1dVsx/dzNzPT5TDX+Znp/Mx0Ocx1frttpps+3WKM8c0kf1xVz58WXZLky0luSnLVtOyqJDcutIcAALDFFnkkOUl+PskHquoZSe5J8sash/eHq+rqJF9P8toF7wMAALbUQpE8xrgzyROd03HJItsFAIDt5B33AACgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAAJqFI7mqTqmqz1XVx6br51fV7VV1tKo+VFXPWHw3AQBg68zxSPJbkty14fq7kvzqGOPHkjyc5OoZ7gMAALbMQpFcVecmeVWS35yuV5KXJblhWuX6JJcvch8AALDVaoyx+RtX3ZDk3yd5VpJfTPKGJLdNjyKnqs5L8okxxgue4LaHkhxKkn379l105MiRTe/HZq2treXeR7476zZfeM5ps25vJ1pbW8vevXu3ezd2FTNdDnOdn5nOz0yXw1znt1NmevDgwTvGGCvHW2/PZu+gqn4myUNjjDuq6sCJ3n6McTjJ4SRZWVkZBw6c8CYWtrq6mnff+uis27zvygOzbm8nWl1dzXZ8P3czM10Oc52fmc7PTJfDXOe322a66UhO8pIkr66qVyb54STPTvKeJKdX1Z4xxmNJzk1y/+K7CQAAW2fT5ySPMX5pjHHuGGN/kiuS/M8xxpVJPpXkNdNqVyW5ceG9BACALbSM10l+e5K3VdXRJM9Jct0S7gMAAJZmkdMtvmeMsZpkdbp8T5IXz7FdAADYDt5xDwAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAs+lIrqrzqupTVfXlqvpSVb1lWn5mVd1cVXdP/54x3+4CAMDyLfJI8mNJfmGMcWGSi5O8qaouTHJNklvGGBckuWW6DgAAO8amI3mM8cAY47PT5T9PcleSc5JcluT6abXrk1y+6E4CAMBWqjHG4hup2p/k00lekOSPxhinT8srycOPX2+3OZTkUJLs27fvoiNHjiy8HydqbW0t9z7y3Vm3+cJzTpt1ezvR2tpa9u7du927sauY6XKY6/zMdH5muhzmOr+dMtODBw/eMcZYOd56exa9o6ram+R3krx1jPGd9S5eN8YYVfWEFT7GOJzkcJKsrKyMAwcOLLorJ2x1dTXvvvXRWbd535UHZt3eTrS6uprt+H7uZma6HOY6PzOdn5kuh7nOb7fNdKFXt6iqH8p6IH9gjPHRafGDVXX29Pmzkzy02C4CAMDWWuTVLSrJdUnuGmP8yoZP3ZTkqunyVUlu3PzuAQDA1lvkdIuXJPnZJF+oqjunZf8mybVJPlxVVyf5epLXLraLAACwtTYdyWOMW5PUMT59yWa3CwAA28077gEAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQCOSAQCgEckAANCIZAAAaEQyAAA0IhkAABqRDAAAjUgGAIBGJAMAQLNnu3dgt9l/zcdn3d59175q1u0BAHB8HkkGAIBGJAMAQCOSAQCgEckAANB44t5JZu4nFiaeXAgA7D4eSQYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAACNSAYAgEYkAwBAI5IBAKARyQAA0IhkAABoRDIAADQiGQAAGpEMAADNnu3eAZ7c/ms+vt27AABw0vFIMgAANCIZAAAakQwAAI1IBgCARiQDAEAjkgEAoBHJAADQeJ1kFtZfy/kXXvhY3vA0en3n+6591XbvwnEd7/WwT3SmO+FrnttmXlP8yeZ6Ms4Qdqsn+v2wyH+r/H44OXgkGQAAGpEMAACNSAYAgEYkAwBA44l7sAtt5klsT2YZT1KZex93gp3wfYHtthN+N5yMP8tP5Ws+kSdD7oSveSmPJFfVpVX11ao6WlXXLOM+AABgWWaP5Ko6JcmvJ3lFkguTvK6qLpz7fgAAYFmW8Ujyi5McHWPcM8b4qyRHkly2hPsBAIClqDHGvBusek2SS8cY/2y6/rNJ/sEY481tvUNJDk1Xn5/kq7PuyFNzVpI/3Yb73e3MdX5muhzmOj8znZ+ZLoe5zm+nzPRHxxjPPd5K2/bEvTHG4SSHt+v+k6SqPjPGWNnOfdiNzHV+Zroc5jo/M52fmS6Huc5vt810Gadb3J/kvA3Xz52WAQDAjrCMSP7fSS6oqvOr6hlJrkhy0xLuBwAAlmL20y3GGI9V1ZuT/F6SU5K8b4zxpbnvZybberrHLmau8zPT5TDX+Znp/Mx0Ocx1frtqprM/cQ8AAHY6b0sNAACNSAYAgOakjWRvnf3UVdV5VfWpqvpyVX2pqt4yLf/lqrq/qu6cPl654Ta/NM32q1X10xuWm/ukqu6rqi9Ms/vMtOzMqrq5qu6e/j1jWl5V9WvT3D5fVS/asJ2rpvXvrqqrtuvreTqoqudvOB7vrKrvVNVbHasnpqreV1UPVdUXNyyb7disqoumY//odNva2q9wexxjrv+xqr4yze53q+r0afn+qvrLDcfsezfc5gnnd6zv0W52jJnO9vNe6y9CcPu0/EO1/oIEu9oxZvqhDfO8r6runJbv7uN0jHHSfWT9CYVfS/K8JM9I8gdJLtzu/Xq6fiQ5O8mLpsvPSvKHWX/L8V9O8otPsP6F00yfmeT8adanmPsPzOm+JGe1Zf8hyTXT5WuSvGu6/Mokn0hSSS5Ocvu0/Mwk90z/njFdPmO7v7anw8d0vH0zyY86Vk94di9N8qIkX9ywbLZjM8nvT+vWdNtXbPfXvI1zfXmSPdPld22Y6/6N67XtPOH8jvU92s0fx5jpbD/vST6c5Irp8nuT/Ivt/pq3Y6bt8+9O8m+ny7v6OD1ZH0n21tknYIzxwBjjs9PlP09yV5JznuQmlyU5Msb4P2OMe5MczfrMzf34Lkty/XT5+iSXb1j+/rHutiSnV9XZSX46yc1jjG+NMR5OcnOSS7d6p5+mLknytTHG159kHcfqExhjfDrJt9riWY7N6XPPHmPcNtb/K/n+Ddva1Z5ormOMT44xHpuu3pb19xY4puPM71jfo13rGMfqsZzQz/v0yOfLktww3f6kn+k0k9cm+eCTbWO3HKcnaySfk+SPN1z/Rp48+phU1f4kP57k9mnRm6c/E75vw59MjjVfc/9+I8knq+qOWn+b9iTZN8Z4YLr8zST7pstmeuKuyPf/InesLmauY/Oc6XJfTvJzWX/E7XHnV9Xnqup/VdVPTsuebH7H+h6djOb4eX9Okm9v+J8Yx2ryk0keHGPcvWHZrj1OT9ZIZhOqam+S30ny1jHGd5L8RpK/neTvJ3kg63+C4an7iTHGi5K8IsmbquqlGz85/d+312jchOm8wVcn+ci0yLE6I8fm/KrqHUkeS/KBadEDSf7WGOPHk7wtyX+tqmc/1e2d5N8jP+/L87p8/4MPu/o4PVkj2Vtnn6Cq+qGsB/IHxhgfTZIxxoNjjO+OMf5vkv+c9T9ZJceer7lvMMa4f/r3oSS/m/X5PTj9merxP1c9NK1upifmFUk+O8Z4MHGszmSuY/P+fP8pBSf9bKvqDUl+JsmVUzRkOiXgz6bLd2T9nNm/kyef37G+RyeVGX/e/yzrpw/tactPStMc/kmSDz2+bLcfpydrJHvr7BMwnYN0XZK7xhi/smH52RtW+8dJHn8m7E1JrqiqZ1bV+UkuyPoJ/OY+qapTq+pZj1/O+pN3vpj1eTz+KgBXJblxunxTktfXuouTPDL9uer3kry8qs6Y/qT48mnZye77Hu1wrM5ilmNz+tx3quri6XfL6zds66RTVZcm+ddJXj3G+IsNy59bVadMl5+X9WPznuPM71jfo5PKXD/v0/+wfCrJa6bbn7QznfxUkq+MMb53GsWuP063+5mD2/WR9Wdk/2HW/6/nHdu9P0/njyQ/kfU/h3w+yZ3TxyuT/JckX5iW35Tk7A23ecc0269mwzPXzf17c3he1p9B/QdJvvT4LLJ+DtwtSe5O8j+SnDktryS/Ps3tC0lWNmzr57L+BJSjSd643V/bdn8kOTXrjwCdtmGZY/XEZvjBrP8Z9a+zfi7h1XMem0lWsh4uX0vynzK9++tu/zjGXI9m/XzYx3+3vnda959OvxvuTPLZJP/oePM71vdoN38cY6az/bxPv6t/f/o+fSTJM7f7a96OmU7LfzvJP2/r7urj1NtSAwBAc7KebgEAAMckkgEAoBHJAADQiGQAAGhEMgAANCIZAAAakQwAAM3/A2Q/6H6DTWa+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc.company_size[acc.company_size<20000].hist(figsize=(12,8), bins=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1130dd828>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc.sales_agent.hist(figsize=(10,6), bins=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1130ca518>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc.mrr.hist(figsize=(10,6), bins=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bubble plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bubble plots can be a uniquely effective way to display pairwise correlation between features. I'm using here [Shir Meir-Lador's packge implementing this method](https://towardsdatascience.com/exploring-the-census-income-dataset-using-bubble-plot-cfa1b366313b). Read more about them in [her blogpost](https://towardsdatascience.com/exploring-the-census-income-dataset-using-bubble-plot-cfa1b366313b)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -U -q bubble_plot \n",
    "from bubble_plot.bubble_plot import bubble_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nona = acc[~acc.company_size.isna()]\n",
    "bubble_plot(nona,'company_size','lead_score', normalization_by_all=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# is_gmail\n",
    "nona = acc[~acc.is_gmail.isna()]\n",
    "bubble_plot(nona,'is_gmail','lead_score', normalization_by_all=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns  # nice visualization package"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let only use numeric data (although you can check correlation for other types as well)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_acc = acc.select_dtypes('number')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And only look at features with at least ~10% non-missing values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['account_id', 'time_diff', 'paying', 'is_gmail', 'has_logo',\n",
       "       'collection_21_days', 'trial_period', 'company_size',\n",
       "       'disable_promotion', 'max_team_size', 'min_team_size',\n",
       "       'billed_users_count', 'pricing_version', 'has_domain', 'lead_score'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_acc.columns[numeric_acc.isna().sum() < 900]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_acc = numeric_acc[numeric_acc.columns[numeric_acc.isna().sum() < 900]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1001, 15)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_acc.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "15 features left!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "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>account_id</th>\n",
       "      <th>time_diff</th>\n",
       "      <th>paying</th>\n",
       "      <th>is_gmail</th>\n",
       "      <th>has_logo</th>\n",
       "      <th>collection_21_days</th>\n",
       "      <th>trial_period</th>\n",
       "      <th>company_size</th>\n",
       "      <th>disable_promotion</th>\n",
       "      <th>max_team_size</th>\n",
       "      <th>min_team_size</th>\n",
       "      <th>billed_users_count</th>\n",
       "      <th>pricing_version</th>\n",
       "      <th>has_domain</th>\n",
       "      <th>lead_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2793496</td>\n",
       "      <td>11.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>5.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2793497</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>5.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2793498</td>\n",
       "      <td>-6.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   account_id  time_diff  paying  is_gmail  has_logo  collection_21_days  \\\n",
       "0     2793496      11.00       0         1         1                   0   \n",
       "1     2793497        nan       0         1         1                   0   \n",
       "2     2793498      -6.00       0         1         1                   0   \n",
       "\n",
       "   trial_period  company_size  disable_promotion  max_team_size  \\\n",
       "0            14           nan                  0           5.00   \n",
       "1            14           nan                  0           5.00   \n",
       "2            14           nan                  0           1.00   \n",
       "\n",
       "   min_team_size  billed_users_count  pricing_version  has_domain  lead_score  \n",
       "0           2.00                   0                3           0           0  \n",
       "1           2.00                   0                3           0           0  \n",
       "2           1.00                   0                3           0           0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_acc.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "corrmat = numeric_acc.corr() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b714a58>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize =(11, 9)) \n",
    "sns.heatmap(corrmat, ax = ax, cmap =\"YlGnBu\", linewidths = 0.1) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Obvoius positive correlations between the # of billed users and (1) the collection in 21 days (probably of fees) (2) being a paying account.\n",
    "* Obvious positive correlation between min and max team size.\n",
    "* What about `has_domain` - `is_gmail` - `disable_promotion`?\n",
    "* is_gmail has some negative correlation with lead_score, our target.\n",
    "* Amusing negative correlation between account id the company size; perhaps smaller clients have joined later? We won't use account id anway...\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at absolute correlations to let them pop a bit more..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "abscorrmat = abs(numeric_acc.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b8bdeb8>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize =(11, 9)) \n",
    "sns.heatmap(abscorrmat, ax = ax, cmap =\"YlGnBu\", linewidths = 0.1) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's easier to see now `lead_score` is correlated to a non-negligble degree with several features."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.org/simple, https://pypi.org/simple\n",
      "Requirement already satisfied: networkx in /Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages (2.2)\n",
      "Requirement already satisfied: decorator>=4.3.0 in /Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages (from networkx) (4.3.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install networkx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import networkx as nx\n",
    "from community import best_partition\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def corr_network(df, threshold=0):\n",
    "    C = np.corrcoef(df,rowvar=0)\n",
    "    A = 1*(C>threshold)\n",
    "    G = nx.Graph(A)\n",
    "    G = nx.relabel_nodes(G,dict(zip(G.nodes(),df.columns.values)))\n",
    "    communities = best_partition(G)\n",
    "\n",
    "    n = len(set(communities.values()))\n",
    "    print(\"{} communities detected for {} features!\".format(n, len(df.columns)))\n",
    "    node_coloring = [communities[node]/n for node in G.nodes()]\n",
    "\n",
    "    nx.pos = nx.fruchterman_reingold_layout(G, dim=2, k=None, pos=None, fixed=None, iterations=5000, weight='weight', scale=1.0, center=None)\n",
    "\n",
    "    nx.draw_networkx(G, cmap=plt.get_cmap('jet'), with_labels=True, node_color=node_coloring, font_size=16)\n",
    "    plt.title('Feature correlation network', fontsize=22)\n",
    "    fig = plt.gcf()\n",
    "    fig.set_size_inches(18.5, 10.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages/numpy/lib/function_base.py:2530: RuntimeWarning: invalid value encountered in true_divide\n",
      "  c /= stddev[:, None]\n",
      "/Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages/numpy/lib/function_base.py:2531: RuntimeWarning: invalid value encountered in true_divide\n",
      "  c /= stddev[None, :]\n",
      "/Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: invalid value encountered in greater\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15 communities detected for 15 features!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1332x756 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_network(numeric_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['account_id', 'time_diff', 'paying', 'is_gmail', 'has_logo',\n",
       "       'collection_21_days', 'trial_period', 'company_size',\n",
       "       'disable_promotion', 'max_team_size', 'min_team_size',\n",
       "       'billed_users_count', 'pricing_version', 'has_domain', 'lead_score'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_acc.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub_numeric_acc = numeric_acc[['account_id', 'paying', 'collection_21_days','disable_promotion',\n",
    "    'billed_users_count', 'has_domain', 'lead_score']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7 communities detected for 7 features!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1332x756 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_network(sub_numeric_acc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's play push the threshold a bit..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6 communities detected for 7 features!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
     ]
    },
    {
     "data": {
      "image/png": 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BVXVdkucP8dK5a2601lpVtSHev2eSlybZZfDUwqo6uLX2raePba0tSLIgSWbPnv2MfQEAAACM1LDRo7U2d12vVdUDVTWrtba0qmYleXCIYX+e5JbW2qOD9/xLkgOTPCN6AAAAAIyXsV7e8tUkpwwen5LkmiHG3JdkTlVtWVVTs+ompkNe3gIAAAAwXsYaPT6Y5LCqujvJ3MF2qmp2VV0yGPOlJD9N8qMktye5vbX2T2M8LgAAAMB6DXt5y/q01n6T5PVDPH9rktMHj59McuZYjgMAAAAwWmM90wMAAABgUhI9AAAAgC6JHgAAAECXRA8AAACgS6IHAAAA0CXRAwAAAOiS6AEAAAB0SfQAAAAAuiR6AAAAAF0SPQAAAIAuiR4AAABAl0QPAAAAoEuiBwAAANAl0QMAAADokugBAAAAdEn0AAAAALokegAAAABdEj0AAACALokeAAAAQJdEDwAAAKBLogcAAADQJdEDAAAA6JLoAQAAAHRJ9AAAAAC6JHoAAAAAXRI9AAAAgC6JHgAAAECXRA8AAACgS6IHAAAA0CXRAwAAAOiS6AEAAAB0SfQAAAAAuiR6AAAAAF0SPQAAAIAuiR4AAABAl0QPAAAAoEuiBwAAANAl0QMAAADokugBAAAAdEn0AAAAALokegAAAABdEj0AAACALokeAAAAQJdEDwAAAKBLogcAAADQJdEDAAAA6JLoAQAAAHRJ9AAAAAC6JHoAAAAAXRI9AAAAgC6JHgAAAECXRA8AAACgS6IHAAAA0CXRAwAAAOiS6AEAAAB0SfQAAAAAuiR6AAAAAF0SPQAAAIAuiR4AAABAl0QPAAAAoEuiBwAAANAl0QMAAADo0pYTPQE2jkcffTyXX35Hbr75F3nooRXZeuupedGLtstb3/ry7L338yZ6egAAALDRiR6dueeeh/KhD307l19+R6ZMqSxf/sTq16ZOnZILL/xu9t9/x7zvfQfnqKP2TlVN4GwBAABg43F5S0cWLvxpDjjg0/nbv70tjz22cq3gkSRPPPGH/P73K/Pd7/4yxx//5Zx55j/nySf/MOx+58+fn2984xujns/8+fNHFFVuvPHGVFVuvPHGUR8DAAAA1kX06MSNN/48b37zlVm+/ImsXNmGHb98+RO5/PIf5a1vvSatrX/8eeedt0HR4/TTT8+iRYtG/T4AAAAYD6JHB3796xWZN++KrFixclTvW7HiiXz5y4tz6aW3bZR57bLLLnn1q1+9UfYNAAAAwxE9xuCee+7JSSedlD322CPTp0/PC1/4wrz97W/Pww8//IyxN910Uw477LA897nPzYwZM7L//vvn0ksvXWvMZz/72bziFa/I9OnTM3PmzMyZMyff+c53Vr++dOnSnHzyydl+++2z1VZbZb/99ssXvvCFXHrpv2flyqcuU7khyfwhZvuVJJ9YY/vhJPOzfPminHXWOZk1a1a23XbbHHXUUVmyZMnqUU9dnvKBD3wgVZWqyvz5Q+3/mYa6vGXZsmU5/vjjs80222TbbbfNySefnN/+9rcj2h8AAACMxphuZFpVf5lV32G/NMmrWmu3rmPc4UkuTLJFkktaax8cy3Eni/vvvz+77rprLrjggsycOTM/+9nPcv755+fII49c67KOa665Jscee2xe85rX5DOf+Uy233773Hnnnbn33ntXjznrrLPysY99LKeddlrOO++8TJkyJbfcckvuu+++HHTQQVm+fHnmzJmThx9+OOeff3523XXXfOELX8hJJ52U5zzn2Dz22L4b+Lv4VpYvf0He977/mR13rLznPe/JiSeeuPr+GosWLcqBBx6YU089NWeeeWaSVWdwbKhjjjkmt99+e84///zstddeueqqq/LOd75zg/cHAAAA6zLWn97y4yTHJPnMugZU1RZJLk5yWJIlSb5fVV9trf1kjMeecIccckgOOeSQ1dsHHXRQ9txzzxx88MG57bbb8vKXvzyttbzrXe/KAQcckBtuuCFTpqw6uWbu3Lmr33fPPffkE5/4RN797nfn4x//+Orn3/SmN61+/LnPfS533313brjhhhx66KFJkiOOOCKLF/88P/zhvyb5s2zYiTvb5sknj8miRdPzla8cl2XLluW9731v7r///uy0006rL0/Zeeedx3ypysKFC3PzzTfniiuuyFve8pYkyRvf+MYcccQRa51dAgAAAONhTJe3tNYWt9buGmbYq5Lc01r7WWvt8SRXJjl6LMedLB5//PGcf/75eclLXpLp06dn6tSpOfjgg5Mkd9111+qP9957b04//fTVwePprrvuuvzhD3/IGWecsc5jffOb38zOO++8Ong85WUvm5vWlidZtoG/i73SWrJ48ar377vvqjNG7rvvvg3c37otWrQoW2yxRY499ti1nn8qgAAAAMB42hT39Ng5yS/W2F4yeO4ZquqMqrq1qm5dtmxDv4nfdM4555zMnz8/J554Yq699tp873vfy9VXX50k+f3vf58k+c1vfpNk/ZeEjGTMQw89lFmzZj3j+alTtxk8emxDfgtJpidJHn308STJVlttleSP8x9PS5cuzcyZMzN16tS1nt9xxx3H/VgAAAAw7OUtVXVdkucP8dK5rbVrxnMyrbUFSRYkyezZs4f/uasT7Morr8zJJ5+c97///aufe/TRR9cas/322ydJfvnLX65zP2uOefGLXzzkmO2222712SNreuKJ3w0eTR98fOqPdGXW/uNdfxR5znOmrff18TBr1qw8/PDDeeKJJ9YKHw888MBGPzYAAACbn2HP9GitzW2tvWyIXyMNHr9Msusa27sMnvuTt2LFimectfC5z31ure299947u+++ey655JK0NnTHmTt3bqZMmZIFCxas81hz5szJkiVL8u1vf3ut53/yk2+kakaSHQbPbDv4+OAaox7L2ifbrK0q2Wef/7DO16dNm5bHHtvQM0n+6MADD8yTTz6ZL3/5y2s9f+WVV4553wAAAPB0Y72R6Uh8P8leVbVHVsWOtyQ5fhMcd6M7/PDDc9lll2XffffNnnvumauvvnqtHzGbrPqRrxdccEGOOeaYvO51r8vb3va27LDDDlm8eHEefPDBnHfeeXnRi160+iamjzzySObNm5ctttgi3/ve9/KSl7wkxx13XE499dRceOGFOeaYY/KBD3wgu+yySy6//PL84Ac3Z5ttjs3vfvdUv9ozyVZJ/inJoUmeTPLtJOs+k2Prrafm3e9e901K99lnn1x77bU5/PDDM3PmzOy0007ZaaedRv3f67DDDstrX/vanHnmmfn1r3+9+qe3/PjHPx71vgAAAGA4Y7qnR1X9eVUtSXJgkmur6uuD53eqqq8lSWttZZJ3JPl6ksVJ/qG1dufYpj05fPKTn8y8efNy7rnn5rjjjssjjzySK6644hnjjj766CxcuDBJctppp2XevHlZsGBBdt9999VjPvrRj+ZTn/pUbrnllhx77LE54YQTcsMNN2S33XZLksyYMSM33XRT3vCGN+Tss8/O0Ucfndtvvz2f//zn8/73vzvTpz/Vr6ZnVVOqJF9Mcl1W3Uv2j8d6uh12mJHXvGbXdb5+0UUXZcaMGTnqqKPyyle+cr1npAzn6quvzpFHHplzzjknxx13XFauXJmLLrpog/cHAAAA61LruuRios2ePbvdeuutEz2NPwkPPfRYdt/9gjzyyOOjfu/WW0/NxRcfmVNPPWAjzAwAAADGrqp+0FqbPdr3bYqf3sJGtt120/O1r52QrbeeOvzgNWy99dSccMK+OeWU/TfSzAAAAGDiiB6deO1rd8u11x6f5zxnWqZOHf6PdcaMqXnrWw/Ipz/9n1NVozpWay0rV65c7y8AAACYaKJHRw49dPfcccfbc+aZszNjxtQ8+9lr37x02rQt8qxnbZk5c16QL33pr/LJTx6ZKVNGFzyS5KabbsrUqVPX++vnP//5OP2uAAAAYMO4p0enHnvsiVx11Z1ZtOgXWbZsRZ797Gl54Qtn5pRT9s8ee8wc074feeSR3HXXXesds99++2XatHX/xBgAAAAYqQ29p4foAQAAAExqbmQKAAAAsAbRAwAAAOiS6AEAAAB0SfQAAAAAuiR6AAAAAF0SPQAAAIAuiR4AAABAl0QPAAAAoEuiBwAAANAl0QMAAADokugBAAAAdEn0AAAAALokegAAAABdEj0AAACALokeAAAAQJdEDwAAAKBLogcAAADQJdEDAAAA6JLoAQAAAHRJ9AAAAAC6JHoAAAAAXRI9AAAAgC6JHgAAAECXRA8AAACgS6IHAAAA0CXRAwAAAOiS6AEAAAB0SfQAAAAAuiR6AAAAAF0SPQAAAIAuiR4AAABAl6q1NtFzGFJVLUty70TPYxxsn+TXEz0J/mRYL4yG9cJoWTOMhvXCaFkzjIb1wmhsn2RGa22H0b5x0kaPXlTVra212RM9D/40WC+MhvXCaFkzjIb1wmhZM4yG9cJojGW9uLwFAAAA6JLoAQAAAHRJ9Nj4Fkz0BPiTYr0wGtYLo2XNMBrWC6NlzTAa1gujscHrxT09AAAAgC450wMAAADokugxzqpqu6paWFV3Dz7OXM/YbapqSVVdtCnnyOQxkvVSVS+oqn+vqh9W1Z1V9baJmCsTb4Tr5YCqWjRYK3dU1XETMVcmh5F+Taqqf62q31bVP2/qOTLxqurwqrqrqu6pqrOHeH2rqrpq8Pp3q2r3TT9LJosRrJdDBn9vWVlVfzERc2RyGcGa+Zuq+sng7y3XV9ULJmKeTA4jWC9vq6ofDb43urmq9hlun6LH+Ds7yfWttb2SXD/YXpf/keSbm2RWTFYjWS9LkxzYWjsgyX9KcnZV7bQJ58jkMZL1siLJya21P0tyeJILqmrbTThHJpeRfk36SJKTNtmsmDSqaoskFyc5Isk+Sf7LEH+BPC3Jw621PZN8IsmHNu0smSxGuF7uS3Jqkr/ftLNjMhrhmrktyezW2n5JvpTkw5t2lkwWI1wvf99a23fwvdGHk3x8uP2KHuPv6CSXDR5fluTNQw2qqv+YZMck/7aJ5sXkNOx6aa093lr7f4PNreL/283ZSNbL/2mt3T14fH+SB5PssMlmyGQzoq9JrbXrkzyyqSbFpPKqJPe01n7WWns8yZVZtW7WtOY6+lKS11dVbcI5MnkMu15aaz9vrd2R5A8TMUEmnZGsmRtaaysGm7ck2WUTz5HJYyTr5XdrbM5IMuxNSn3zNP52bK0tHTz+VVaFjbVU1ZQkH0ty1qacGJPSsOslSapq16q6I8kvknxo8M0sm58RrZenVNWrkkxL8tONPTEmrVGtGTZLO2fV15anLBk8N+SY1trKJP83yfM2yeyYbEayXmBNo10zpyX5l406IyazEa2XqvqvVfXTrDrT478Nt9Mtx216m5Gqui7J84d46dw1N1prraqGKk9/neRrrbUl/qGkf+OwXtJa+0WS/QaXtfxjVX2ptfbA+M+WiTYe62Wwn1lJPp/klNaaf23r2HitGQCYSFV1YpLZSeZM9FyY3FprFye5uKqOT/L+JKesb7zosQFaa3PX9VpVPVBVs1prSwffdDw4xLADkxxcVX+d5NlJplXVo6219d3/gz9R47Be1tzX/VX14yQHZ9UpxnRmPNZLVW2T5Nok57bWbtlIU2WSGM/PMWyWfplk1zW2dxk8N9SYJVW1ZZLnJvnNppkek8xI1gusaURrpqrmZlWsn7PGZd1sfkb7OebKJP97uJ26vGX8fTV/LE2nJLnm6QNaaye01nZrre2eVZe4/J3gsdkadr1U1S5VNX3weGaS1ya5a5PNkMlkJOtlWpKvZNXnFWGMYdcMm73vJ9mrqvYYfP54S1atmzWtuY7+Isk3WmvOGto8jWS9wJqGXTNV9fIkn0kyr7Umzm/eRrJe9lpj801J7h5up6LH+PtgksOq6u4kcwfbqarZVXXJhM6MyWgk6+WlSb5bVbcnuSnJR1trP5qQ2TLRRrJe/irJIUlOHfworx9W1QETM10mgRF9TaqqbyX5YlbdoHJJVb1xQmbLJje4R8c7knw9yeIk/9Bau7Oq/ntVzRsMuzTJ86rqniR/k/X/ZDo6NpL1UlWvrKolSf4yyWeq6s6JmzETbYSfYz6SVWe/f3Hw9xYhbTM1wvXyjqq6s6p+mFVfk9Z7aUuSlFAPAAAA9MiZHgAAAECXRA8AAACgS6IHAAAA0CXRAwAAAOiS6AEAAAB0SfQAAAAAuiR6AAAAAF0SPQAAAIAu/X9qqj0ftmfT2AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1332x756 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_network(sub_numeric_acc, threshold=0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And more..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 communities detected for 7 features!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1332x756 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_network(sub_numeric_acc, threshold=0.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And that's probably enough:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 communities detected for 7 features!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages/networkx/drawing/nx_pylab.py:611: MatplotlibDeprecationWarning: isinstance(..., numbers.Number)\n",
      "  if cb.is_numlike(alpha):\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1332x756 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_network(sub_numeric_acc, threshold=0.3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "interesting_numeric = numeric_acc[['is_gmail', 'company_size', 'disable_promotion', \n",
    "                                   'max_team_size', 'has_domain', 'lead_score']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shaypalachy/.pyenv/versions/3.6.5/envs/py3/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3291: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x648 with 36 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatterplot Matrix\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas\n",
    "from pandas.plotting import scatter_matrix\n",
    "# plt.figure(figsize=(12,10))\n",
    "f, ax = plt.subplots(figsize =(11, 9)) \n",
    "scatter_matrix(interesting_numeric, ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case, nothing very interesting, but sometimes they look nicer..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"https://3qeqpr26caki16dnhd19sv6by6v-wpengine.netdna-ssl.com/wp-content/uploads/2016/03/Scatterplot-Matrix.png\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(url=\"https://3qeqpr26caki16dnhd19sv6by6v-wpengine.netdna-ssl.com/wp-content/uploads/2016/03/Scatterplot-Matrix.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "name": "Untitled0.ipynb",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "py3",
   "language": "python",
   "name": "py3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}