02. Spanish Translation AB Test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import  warnings\n",
    "warnings.simplefilter('ignore')\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.stats import ttest_ind\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>user_id</th>\n",
       "      <th>date</th>\n",
       "      <th>source</th>\n",
       "      <th>device</th>\n",
       "      <th>browser_language</th>\n",
       "      <th>ads_channel</th>\n",
       "      <th>browser</th>\n",
       "      <th>conversion</th>\n",
       "      <th>test</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>315281</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IE</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>497851</td>\n",
       "      <td>2015-12-04</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>Google</td>\n",
       "      <td>IE</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>848402</td>\n",
       "      <td>2015-12-04</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>290051</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Mobile</td>\n",
       "      <td>Other</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>Android_App</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>548435</td>\n",
       "      <td>2015-11-30</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>Google</td>\n",
       "      <td>FireFox</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id       date  source  device browser_language ads_channel  \\\n",
       "0   315281 2015-12-03  Direct     Web               ES         NaN   \n",
       "1   497851 2015-12-04     Ads     Web               ES      Google   \n",
       "2   848402 2015-12-04     Ads     Web               ES    Facebook   \n",
       "3   290051 2015-12-03     Ads  Mobile            Other    Facebook   \n",
       "4   548435 2015-11-30     Ads     Web               ES      Google   \n",
       "\n",
       "       browser  conversion  test  \n",
       "0           IE           1     0  \n",
       "1           IE           0     1  \n",
       "2       Chrome           0     0  \n",
       "3  Android_App           0     1  \n",
       "4      FireFox           0     1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test = pd.read_csv('./data/Translation_Test/test_table.csv', parse_dates=['date'])\n",
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 453321 entries, 0 to 453320\n",
      "Data columns (total 9 columns):\n",
      "user_id             453321 non-null int64\n",
      "date                453321 non-null datetime64[ns]\n",
      "source              453321 non-null object\n",
      "device              453321 non-null object\n",
      "browser_language    453321 non-null object\n",
      "ads_channel         181877 non-null object\n",
      "browser             453321 non-null object\n",
      "conversion          453321 non-null int64\n",
      "test                453321 non-null int64\n",
      "dtypes: datetime64[ns](1), int64(3), object(5)\n",
      "memory usage: 31.1+ MB\n"
     ]
    }
   ],
   "source": [
    "test.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>user_id</th>\n",
       "      <th>conversion</th>\n",
       "      <th>test</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>453321.000000</td>\n",
       "      <td>453321.000000</td>\n",
       "      <td>453321.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>499937.514728</td>\n",
       "      <td>0.049579</td>\n",
       "      <td>0.476446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>288665.193436</td>\n",
       "      <td>0.217073</td>\n",
       "      <td>0.499445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>249816.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>500019.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>749522.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              user_id     conversion           test\n",
       "count   453321.000000  453321.000000  453321.000000\n",
       "mean    499937.514728       0.049579       0.476446\n",
       "std     288665.193436       0.217073       0.499445\n",
       "min          1.000000       0.000000       0.000000\n",
       "25%     249816.000000       0.000000       0.000000\n",
       "50%     500019.000000       0.000000       0.000000\n",
       "75%     749522.000000       0.000000       1.000000\n",
       "max    1000000.000000       1.000000       1.000000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>user_id</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>765821</td>\n",
       "      <td>M</td>\n",
       "      <td>20</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>343561</td>\n",
       "      <td>F</td>\n",
       "      <td>27</td>\n",
       "      <td>Nicaragua</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>118744</td>\n",
       "      <td>M</td>\n",
       "      <td>23</td>\n",
       "      <td>Colombia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>987753</td>\n",
       "      <td>F</td>\n",
       "      <td>27</td>\n",
       "      <td>Venezuela</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>554597</td>\n",
       "      <td>F</td>\n",
       "      <td>20</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id sex  age    country\n",
       "0   765821   M   20     Mexico\n",
       "1   343561   F   27  Nicaragua\n",
       "2   118744   M   23   Colombia\n",
       "3   987753   F   27  Venezuela\n",
       "4   554597   F   20      Spain"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user = pd.read_csv('./data/Translation_Test/user_table.csv')\n",
    "user.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 452867 entries, 0 to 452866\n",
      "Data columns (total 4 columns):\n",
      "user_id    452867 non-null int64\n",
      "sex        452867 non-null object\n",
      "age        452867 non-null int64\n",
      "country    452867 non-null object\n",
      "dtypes: int64(2), object(2)\n",
      "memory usage: 13.8+ MB\n"
     ]
    }
   ],
   "source": [
    "user.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>user_id</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>452867.000000</td>\n",
       "      <td>452867.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>499944.805166</td>\n",
       "      <td>27.130740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>288676.264784</td>\n",
       "      <td>6.776678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>249819.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>500019.000000</td>\n",
       "      <td>26.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>749543.000000</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>70.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              user_id            age\n",
       "count   452867.000000  452867.000000\n",
       "mean    499944.805166      27.130740\n",
       "std     288676.264784       6.776678\n",
       "min          1.000000      18.000000\n",
       "25%     249819.000000      22.000000\n",
       "50%     500019.000000      26.000000\n",
       "75%     749543.000000      31.000000\n",
       "max    1000000.000000      70.000000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test ID:\t 453321 \t True\n",
      "User ID:\t 452867 \t True\n"
     ]
    }
   ],
   "source": [
    "# Check uniqueness\n",
    "print('Test ID:\\t', len(test['user_id'].unique()), '\\t', len(test['user_id'].unique()) == len(test))\n",
    "print('User ID:\\t', len(user['user_id'].unique()), '\\t', len(user['user_id'].unique()) == len(user)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>user_id</th>\n",
       "      <th>date</th>\n",
       "      <th>source</th>\n",
       "      <th>device</th>\n",
       "      <th>browser_language</th>\n",
       "      <th>ads_channel</th>\n",
       "      <th>browser</th>\n",
       "      <th>conversion</th>\n",
       "      <th>test</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>315281</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IE</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>M</td>\n",
       "      <td>32.0</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>497851</td>\n",
       "      <td>2015-12-04</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>Google</td>\n",
       "      <td>IE</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>848402</td>\n",
       "      <td>2015-12-04</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>M</td>\n",
       "      <td>34.0</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>290051</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Mobile</td>\n",
       "      <td>Other</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>Android_App</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>548435</td>\n",
       "      <td>2015-11-30</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>Google</td>\n",
       "      <td>FireFox</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>19.0</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id       date  source  device browser_language ads_channel  \\\n",
       "0   315281 2015-12-03  Direct     Web               ES         NaN   \n",
       "1   497851 2015-12-04     Ads     Web               ES      Google   \n",
       "2   848402 2015-12-04     Ads     Web               ES    Facebook   \n",
       "3   290051 2015-12-03     Ads  Mobile            Other    Facebook   \n",
       "4   548435 2015-11-30     Ads     Web               ES      Google   \n",
       "\n",
       "       browser  conversion  test sex   age country  \n",
       "0           IE           1     0   M  32.0   Spain  \n",
       "1           IE           0     1   M  21.0  Mexico  \n",
       "2       Chrome           0     0   M  34.0   Spain  \n",
       "3  Android_App           0     1   F  22.0  Mexico  \n",
       "4      FireFox           0     1   M  19.0  Mexico  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge two tables\n",
    "data = pd.merge(left=test, right=user, how='left', on='user_id')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 453321 entries, 0 to 453320\n",
      "Data columns (total 12 columns):\n",
      "user_id             453321 non-null int64\n",
      "date                453321 non-null datetime64[ns]\n",
      "source              453321 non-null object\n",
      "device              453321 non-null object\n",
      "browser_language    453321 non-null object\n",
      "ads_channel         181877 non-null object\n",
      "browser             453321 non-null object\n",
      "conversion          453321 non-null int64\n",
      "test                453321 non-null int64\n",
      "sex                 452867 non-null object\n",
      "age                 452867 non-null float64\n",
      "country             452867 non-null object\n",
      "dtypes: datetime64[ns](1), float64(1), int64(3), object(7)\n",
      "memory usage: 45.0+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A/B Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# First check that Spain converts much better than the rest of LatAm countries\n",
    "groupby_country = data[data['test'] == 0][['conversion', 'country']].groupby('country').mean()\n",
    "groupby_country = groupby_country.reset_index()\n",
    "groupby_country = groupby_country.sort_values('conversion', ascending=False)\n",
    "\n",
    "# Visualization\n",
    "fig, ax = plt.subplots(figsize=(18, 6))\n",
    "sns.barplot(x='country', y='conversion', data=groupby_country, ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization\n",
    "fig, ax = plt.subplots(figsize=(18, 6))\n",
    "sns.barplot(x='country', y='conversion', hue='test', data=data, ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.043424713982118966 \t 0.04833042316066309\n"
     ]
    }
   ],
   "source": [
    "# A/B test\n",
    "test_data = data[data['country'] != 'Spain']\n",
    "test_val = test_data[test_data['test'] == 1]['conversion'].values\n",
    "cont_val = test_data[test_data['test'] == 0]['conversion'].values\n",
    "\n",
    "print(test_val.mean(), '\\t', cont_val.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ttest_indResult(statistic=-7.3939374121344805, pvalue=1.4282994754055316e-13)\n"
     ]
    }
   ],
   "source": [
    "print(ttest_ind(test_val, cont_val, equal_var=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Well, it seems that local-translation make it even worse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>user_id</th>\n",
       "      <th>date</th>\n",
       "      <th>source</th>\n",
       "      <th>device</th>\n",
       "      <th>browser_language</th>\n",
       "      <th>ads_channel</th>\n",
       "      <th>browser</th>\n",
       "      <th>conversion</th>\n",
       "      <th>test</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>497851</td>\n",
       "      <td>2015-12-04</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>Google</td>\n",
       "      <td>IE</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>290051</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Mobile</td>\n",
       "      <td>Other</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>Android_App</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>548435</td>\n",
       "      <td>2015-11-30</td>\n",
       "      <td>Ads</td>\n",
       "      <td>Web</td>\n",
       "      <td>ES</td>\n",
       "      <td>Google</td>\n",
       "      <td>FireFox</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>19.0</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>540675</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Mobile</td>\n",
       "      <td>ES</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Android_App</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Venezuela</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>863394</td>\n",
       "      <td>2015-12-04</td>\n",
       "      <td>SEO</td>\n",
       "      <td>Mobile</td>\n",
       "      <td>Other</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Android_App</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id       date  source  device browser_language ads_channel  \\\n",
       "1   497851 2015-12-04     Ads     Web               ES      Google   \n",
       "3   290051 2015-12-03     Ads  Mobile            Other    Facebook   \n",
       "4   548435 2015-11-30     Ads     Web               ES      Google   \n",
       "5   540675 2015-12-03  Direct  Mobile               ES         NaN   \n",
       "6   863394 2015-12-04     SEO  Mobile            Other         NaN   \n",
       "\n",
       "       browser  conversion  test sex   age    country  \n",
       "1           IE           0     1   M  21.0     Mexico  \n",
       "3  Android_App           0     1   F  22.0     Mexico  \n",
       "4      FireFox           0     1   M  19.0     Mexico  \n",
       "5  Android_App           0     1   F  22.0  Venezuela  \n",
       "6  Android_App           0     0   M  35.0     Mexico  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data[data['country'] != 'Spain']\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization of different dates\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='date', hue='test', data=data, ax=ax[0])\n",
    "ax[0].set_title('Count Plot of Date', fontsize=16)\n",
    "\n",
    "sns.barplot(x='date', y='conversion', hue='test', data=data, ax=ax[1])\n",
    "ax[1].set_title('Mean Conversion Rate per Date', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization of different source\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='source', hue='test', data=data, ax=ax[0])\n",
    "ax[0].set_title('Count Plot of Source', fontsize=16)\n",
    "\n",
    "sns.barplot(x='source', y='conversion', hue='test', data=data, ax=ax[1])\n",
    "ax[1].set_title('Mean Conversion Rate per Source', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization of different devices\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='device', hue='test', data=data, ax=ax[0])\n",
    "ax[0].set_title('Count Plot of Device', fontsize=16)\n",
    "\n",
    "sns.barplot(x='device', y='conversion', hue='test', data=data, ax=ax[1])\n",
    "ax[1].set_title('Mean Conversion Rate per Device', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization of different devices\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='browser_language', hue='test', data=data, ax=ax[0])\n",
    "ax[0].set_title('Count Plot of Browser Language', fontsize=16)\n",
    "\n",
    "sns.barplot(x='browser_language', y='conversion', hue='test', data=data, ax=ax[1])\n",
    "ax[1].set_title('Mean Conversion Rate per Broswer Language', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization of different devices\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='ads_channel', hue='test', data=data, ax=ax[0])\n",
    "ax[0].set_title('Count Plot of Ads Channel', fontsize=16)\n",
    "\n",
    "sns.barplot(x='ads_channel', y='conversion', hue='test', data=data, ax=ax[1])\n",
    "ax[1].set_title('Mean Conversion Rate per Ads Channel', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization of different devices\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='browser', hue='test', data=data, ax=ax[0])\n",
    "ax[0].set_title('Count Plot of Browser', fontsize=16)\n",
    "\n",
    "sns.barplot(x='browser', y='conversion', hue='test', data=data, ax=ax[1])\n",
    "ax[1].set_title('Mean Conversion Rate per Browser', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization of different devices\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='sex', hue='test', data=data, ax=ax[0])\n",
    "ax[0].set_title('Count Plot of Sex', fontsize=16)\n",
    "\n",
    "sns.barplot(x='sex', y='conversion', hue='test', data=data, ax=ax[1])\n",
    "ax[1].set_title('Mean Conversion Rate per Sex', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization of different devices\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='age', hue='test', data=data, ax=ax[0])\n",
    "ax[0].set_title('Count Plot of Age', fontsize=16)\n",
    "\n",
    "sns.barplot(x='age', y='conversion', hue='test', data=data, ax=ax[1])\n",
    "ax[1].set_title('Mean Conversion Rate per Age', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualization of different devices\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(18, 6))\n",
    "sns.countplot(x='country', hue='test', data=data, ax=ax[0])\n",
    "ax[0].set_title('Count Plot of Country', fontsize=16)\n",
    "\n",
    "sns.barplot(x='country', y='conversion', hue='test', data=data, ax=ax[1])\n",
    "ax[1].set_title('Mean Conversion Rate per Country', fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let check for each country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Country               Test Rate    Control Rate    P-Value\n",
      "-----------------------------------------------------------------\n",
      "Mexico                  0.05119         0.04949   0.165544\n",
      "Venezuela               0.04898         0.05034   0.573702\n",
      "Bolivia                 0.04790         0.04937   0.718885\n",
      "Colombia                0.05057         0.05209   0.423719\n",
      "Uruguay                 0.01291         0.01205   0.879764\n",
      "El Salvador             0.04795         0.05355   0.248127\n",
      "Nicaragua               0.05418         0.05265   0.780400\n",
      "Peru                    0.05060         0.04991   0.771953\n",
      "Costa Rica              0.05474         0.05226   0.687876\n",
      "Chile                   0.05130         0.04811   0.302848\n",
      "Argentina               0.01373         0.01507   0.335147\n",
      "Ecuador                 0.04899         0.04915   0.961512\n",
      "Guatemala               0.04865         0.05064   0.572107\n",
      "Honduras                0.04754         0.05091   0.471463\n",
      "Paraguay                0.04923         0.04849   0.883697\n",
      "Panama                  0.04937         0.04680   0.705327\n"
     ]
    }
   ],
   "source": [
    "countries = [name for name in data['country'].unique() if name is not np.nan]\n",
    "\n",
    "print('{0:15s} {1:>15s} {2:>15s} {3:>10s}'.format('Country', 'Test Rate', 'Control Rate', 'P-Value'))\n",
    "print('-' * 65)\n",
    "for country in countries:\n",
    "    test_val = data[(data['country'] == country) & (data['test'] == 1)]['conversion'].values\n",
    "    cont_val = data[(data['country'] == country) & (data['test'] == 0)]['conversion'].values\n",
    "    \n",
    "    test_mean = test_val.mean()\n",
    "    cont_mean = cont_val.mean()\n",
    "    p_val = ttest_ind(test_val, cont_val, equal_var=False).pvalue\n",
    "    \n",
    "    print('{0:15s} {1:15.5f} {2:15.5f} {3:10f}'.format(country, test_mean, cont_mean, p_val))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}