mode-watsi.ipynb

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   "file_extension": ".py",
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   "name": "python3",
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   "language": "python"
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 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cities = [\"Tokyo\", \"Paris\", \"Athens\", \"New York\", \"Madrid\", \"London\", \"Tel Aviv\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"watsi_dataset.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                                            referrer            timestamp  \\\n",
       "0                            https://www.google.com/  2016-02-05 00:48:23   \n",
       "1  https://themeteorchef.com/snippets/making-use-...  2016-02-24 23:12:10   \n",
       "2                                 https://watsi.org/  2015-12-25 17:59:35   \n",
       "3                                                NaN  2016-02-05 21:19:30   \n",
       "4                  https://watsi.org/fund-treatments  2016-02-14 19:30:08   \n",
       "\n",
       "                                               title  \\\n",
       "0  Watsi | Fund medical treatments for people aro...   \n",
       "1                            Watsi | The Meteor Chef   \n",
       "2  Watsi | Give the gift of health with a Watsi G...   \n",
       "3  Watsi | Fund medical treatments for people aro...   \n",
       "4  Watsi | Fund medical treatments for people aro...   \n",
       "\n",
       "                                      url  \\\n",
       "0                      https://watsi.org/   \n",
       "1  https://watsi.org/team/the-meteor-chef   \n",
       "2            https://watsi.org/gift-cards   \n",
       "3                      https://watsi.org/   \n",
       "4                      https://watsi.org/   \n",
       "\n",
       "                                          user_agent       user_id  \\\n",
       "0  Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_4...  CHAROLETTE S   \n",
       "1  Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKi...      WARREN Q   \n",
       "2  Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_1...     MITCHEL O   \n",
       "3  Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2...      MICHEL O   \n",
       "4  Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2...      ANDREE N   \n",
       "\n",
       "     referrer_domain website_section platform  \n",
       "0             google             NaN  Desktop  \n",
       "1  themeteorchef.com            team  Desktop  \n",
       "2          watsi.org      gift-cards  Desktop  \n",
       "3                NaN             NaN  Desktop  \n",
       "4          watsi.org             NaN  Desktop  "
      ],
      "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>referrer</th>\n      <th>timestamp</th>\n      <th>title</th>\n      <th>url</th>\n      <th>user_agent</th>\n      <th>user_id</th>\n      <th>referrer_domain</th>\n      <th>website_section</th>\n      <th>platform</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>https://www.google.com/</td>\n      <td>2016-02-05 00:48:23</td>\n      <td>Watsi | Fund medical treatments for people aro...</td>\n      <td>https://watsi.org/</td>\n      <td>Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_4...</td>\n      <td>CHAROLETTE S</td>\n      <td>google</td>\n      <td>NaN</td>\n      <td>Desktop</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>https://themeteorchef.com/snippets/making-use-...</td>\n      <td>2016-02-24 23:12:10</td>\n      <td>Watsi | The Meteor Chef</td>\n      <td>https://watsi.org/team/the-meteor-chef</td>\n      <td>Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKi...</td>\n      <td>WARREN Q</td>\n      <td>themeteorchef.com</td>\n      <td>team</td>\n      <td>Desktop</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>https://watsi.org/</td>\n      <td>2015-12-25 17:59:35</td>\n      <td>Watsi | Give the gift of health with a Watsi G...</td>\n      <td>https://watsi.org/gift-cards</td>\n      <td>Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_1...</td>\n      <td>MITCHEL O</td>\n      <td>watsi.org</td>\n      <td>gift-cards</td>\n      <td>Desktop</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>NaN</td>\n      <td>2016-02-05 21:19:30</td>\n      <td>Watsi | Fund medical treatments for people aro...</td>\n      <td>https://watsi.org/</td>\n      <td>Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_2...</td>\n      <td>MICHEL O</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Desktop</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>https://watsi.org/fund-treatments</td>\n      <td>2016-02-14 19:30:08</td>\n      <td>Watsi | Fund medical treatments for people aro...</td>\n      <td>https://watsi.org/</td>\n      <td>Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_2...</td>\n      <td>ANDREE N</td>\n      <td>watsi.org</td>\n      <td>NaN</td>\n      <td>Desktop</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 40
    }
   ],
   "source": [
    "df.head(5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df = df.fillna('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "             timestamp                                     url\n",
       "0  2016-02-05 00:48:23                      https://watsi.org/\n",
       "1  2016-02-24 23:12:10  https://watsi.org/team/the-meteor-chef\n",
       "2  2015-12-25 17:59:35            https://watsi.org/gift-cards\n",
       "3  2016-02-05 21:19:30                      https://watsi.org/\n",
       "4  2016-02-14 19:30:08                      https://watsi.org/"
      ],
      "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>timestamp</th>\n      <th>url</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2016-02-05 00:48:23</td>\n      <td>https://watsi.org/</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2016-02-24 23:12:10</td>\n      <td>https://watsi.org/team/the-meteor-chef</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2015-12-25 17:59:35</td>\n      <td>https://watsi.org/gift-cards</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2016-02-05 21:19:30</td>\n      <td>https://watsi.org/</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2016-02-14 19:30:08</td>\n      <td>https://watsi.org/</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 42
    }
   ],
   "source": [
    "# use .iloc method to select a given row\n",
    "\n",
    "df[:5][[\"timestamp\", \"url\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "             timestamp                                     url\n",
       "0  2016-02-05 00:48:23                      https://watsi.org/\n",
       "1  2016-02-24 23:12:10  https://watsi.org/team/the-meteor-chef\n",
       "2  2015-12-25 17:59:35            https://watsi.org/gift-cards\n",
       "3  2016-02-05 21:19:30                      https://watsi.org/\n",
       "4  2016-02-14 19:30:08                      https://watsi.org/"
      ],
      "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>timestamp</th>\n      <th>url</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2016-02-05 00:48:23</td>\n      <td>https://watsi.org/</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2016-02-24 23:12:10</td>\n      <td>https://watsi.org/team/the-meteor-chef</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2015-12-25 17:59:35</td>\n      <td>https://watsi.org/gift-cards</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2016-02-05 21:19:30</td>\n      <td>https://watsi.org/</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2016-02-14 19:30:08</td>\n      <td>https://watsi.org/</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 43
    }
   ],
   "source": [
    "df[[\"timestamp\", \"url\"]][:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "title                                                                                                 referrer                         \n",
       "Watsi | Fund a medical treatment on Watsi. 100% of your donation directly funds a medical treatment.  https://watsi.org/                   297\n",
       "Watsi | Fund medical treatments for people around the world                                           https://www.google.com/              153\n",
       "Watsi | About Us                                                                                      https://watsi.org/                    93\n",
       "Watsi | Fund medical treatments for people around the world                                           https://www.google.co.in/             53\n",
       "Watsi | How Watsi works                                                                               https://watsi.org/                    46\n",
       "Watsi | Join Watsi's Universal Fund                                                                   https://watsi.org/                    39\n",
       "Watsi | About Us                                                                                      https://watsi.org/universal-fund      29\n",
       "Watsi | Join Watsi's Universal Fund                                                                   https://watsi.org/fund-treatments     25\n",
       "Watsi | Fund medical treatments for people around the world                                           https://watsi.org/                    22\n",
       "                                                                                                      https://www.reddit.com/               21\n",
       "dtype: int64"
      ]
     },
     "metadata": {},
     "execution_count": 44
    }
   ],
   "source": [
    "df[['title','referrer']].value_counts()[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "https://watsi.org/                          642\n",
       "https://watsi.org/fund-treatments           315\n",
       "https://www.google.com/                     215\n",
       "https://watsi.org/fund-treatments?page=2    139\n",
       "https://watsi.org/about                     107\n",
       "http://blog.watsi.org/                       90\n",
       "https://watsi.org/universal-fund             79\n",
       "https://www.facebook.com/                    69\n",
       "https://watsi.org/how                        58\n",
       "http://m.facebook.com                        57\n",
       "https://www.google.co.in/                    55\n",
       "https://watsi.org/fund-treatments?page=3     47\n",
       "https://watsi.org/fund-treatments?page=4     31\n",
       "https://watsi.org/gift-cards                 26\n",
       "https://www.reddit.com/                      24\n",
       "https://www.google.ca/                       20\n",
       "https://www.google.co.uk/                    19\n",
       "https://t.co/oA3AsouPDj                      18\n",
       "https://www.google.com.au/                   16\n",
       "https://www.google.com                       16\n",
       "Name: referrer, dtype: int64"
      ]
     },
     "metadata": {},
     "execution_count": 45
    }
   ],
   "source": [
    "df['referrer'].value_counts()[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "metadata": {},
     "execution_count": 46
    },
    {
     "output_type": "display_data",
     "data": {
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "df['title'].value_counts()[:10].plot(kind=\"barh\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "metadata": {},
     "execution_count": 47
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "df['website_section'].value_counts()[:10].plot(kind=\"barh\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "metadata": {},
     "execution_count": 48
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "df['referrer_domain'].value_counts()[:10].plot(kind=\"barh\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "metadata": {},
     "execution_count": 49
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "df['platform'].value_counts().plot(kind=\"barh\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "homepage_df = df[df['title']=='Watsi | Fund medical treatments for people around the world']\n",
    "homepage_df['referrer_domain'] = homepage_df['referrer_domain'].fillna('unknown')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "metadata": {},
     "execution_count": 54
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "homepage_df['referrer_domain'].value_counts()[:15].plot(kind=\"barh\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "metadata": {},
     "execution_count": 59
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "df[df['referrer_domain'] == 'reddit.com']['title'].value_counts().plot(kind=\"barh\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}