homepage_actions_solution.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>id</th>\n",
       "      <th>group</th>\n",
       "      <th>action</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-09-24 17:42:27.839496</td>\n",
       "      <td>804196</td>\n",
       "      <td>experiment</td>\n",
       "      <td>view</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-09-24 19:19:03.542569</td>\n",
       "      <td>434745</td>\n",
       "      <td>experiment</td>\n",
       "      <td>view</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-09-24 19:36:00.944135</td>\n",
       "      <td>507599</td>\n",
       "      <td>experiment</td>\n",
       "      <td>view</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-09-24 19:59:02.646620</td>\n",
       "      <td>671993</td>\n",
       "      <td>control</td>\n",
       "      <td>view</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-09-24 20:26:14.466886</td>\n",
       "      <td>536734</td>\n",
       "      <td>experiment</td>\n",
       "      <td>view</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                    timestamp      id       group action\n",
       "0  2016-09-24 17:42:27.839496  804196  experiment   view\n",
       "1  2016-09-24 19:19:03.542569  434745  experiment   view\n",
       "2  2016-09-24 19:36:00.944135  507599  experiment   view\n",
       "3  2016-09-24 19:59:02.646620  671993     control   view\n",
       "4  2016-09-24 20:26:14.466886  536734  experiment   view"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('homepage_actions.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8188, 4)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "timestamp    8188\n",
       "id           6328\n",
       "group           2\n",
       "action          2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.group.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para contar valores únicos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.groupby(\"group\").nunique() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "view     6328\n",
       "click    1860\n",
       "Name: action, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.action.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2939317319848293"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.query('action == \"click\"').id.nunique() / df.query('action == \"view\"').id.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('2017-01-18 10:24:08.629327', '2016-09-24 17:42:27.839496')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.timestamp.max(), df.timestamp.min()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Eu escrevo minha H0 da segunte maneira:\n",
    "\n",
    "    H0: CTR new - CTR old <= 0\n",
    "\n",
    "Isso é meio ruim de ler por causa da álgebra, mas é fácil reescrever assim:\n",
    "\n",
    "    H0: CTR new <= CTR old\n",
    "\n",
    "Ou seja, que o CTR no meu novo site é igual ou inferior ao anterior (não vale à pena mudar)\n",
    "\n",
    "O CTR no caso é um índice. O potencial cliente entra na sua Webpage. Se ele não clicar em nada, é porque provavelmente não se interessou. Se ele clicar em algo é tipo: \"oba, interessamos um cara!\"\n",
    "\n",
    "O experimento foi tocado por 4 meses. E algumas pessoas (mesmo ID retornaram algumas vezes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "control_df = df.query('group == 'control'')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "control_ctr = control_df.query('action == 'click'').id.nunique() / control_df.query('action == 'view'').id.nunique() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "control_ctr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "experiment_df = df.query('group == 'experiment'')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "experiment_ctr = experiment_df.query('action == 'click'').id.nunique() / experiment_df.query('action == 'view'').id.nunique() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "experiment_ctr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "obs_diff = experiment_ctr - control_ctr \n",
    "obs_diff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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