something_just_like_this_weekly.csv

spotify-worldwide-daily-song-ranking.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Spotify's Worldwide Daily Song Ranking\n",
    "\n",
    "Dataset from: https://www.kaggle.com/edumucelli/spotifys-worldwide-daily-song-ranking  \n",
    "Crawled from: https://spotifycharts.com/regional  \n",
    "Crawler code is hosted on github: https://github.com/edumucelli/spotify-worldwide-ranking\n",
    "\n",
    "The original dataset contains only records of 2017. I modified the scripts found on github, to crawl the data of 2018, up to September."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import json\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ranking = pd.read_csv('./spotify_worldwide_daily_song_ranking_2017_2018.csv', parse_dates=['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_continents = pd.Series(json.load(open('./continents.json')), name='continent').to_frame()\n",
    "df_continents.index.name = 'code'\n",
    "df_continents.reset_index(level=0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_countries = pd.read_json('./countries.json', orient='index')\n",
    "df_countries.index.name = 'code'\n",
    "df_countries.reset_index(level=0, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## See some items in dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Position</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "      <th>Streams</th>\n",
       "      <th>URL</th>\n",
       "      <th>Date</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Reggaetón Lento (Bailemos)</td>\n",
       "      <td>CNCO</td>\n",
       "      <td>19272</td>\n",
       "      <td>https://open.spotify.com/track/3AEZUABDXNtecAO...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Chantaje</td>\n",
       "      <td>Shakira</td>\n",
       "      <td>19270</td>\n",
       "      <td>https://open.spotify.com/track/6mICuAdrwEjh6Y6...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Otra Vez (feat. J Balvin)</td>\n",
       "      <td>Zion &amp; Lennox</td>\n",
       "      <td>15761</td>\n",
       "      <td>https://open.spotify.com/track/3QwBODjSEzelZyV...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Vente Pa' Ca</td>\n",
       "      <td>Ricky Martin</td>\n",
       "      <td>14954</td>\n",
       "      <td>https://open.spotify.com/track/7DM4BPaS7uofFul...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Safari</td>\n",
       "      <td>J Balvin</td>\n",
       "      <td>14269</td>\n",
       "      <td>https://open.spotify.com/track/6rQSrBHf7HlZjtc...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Position                  Track Name         Artist  Streams  \\\n",
       "0         1  Reggaetón Lento (Bailemos)           CNCO    19272   \n",
       "1         2                    Chantaje        Shakira    19270   \n",
       "2         3   Otra Vez (feat. J Balvin)  Zion & Lennox    15761   \n",
       "3         4                Vente Pa' Ca   Ricky Martin    14954   \n",
       "4         5                      Safari       J Balvin    14269   \n",
       "\n",
       "                                                 URL       Date Region  \n",
       "0  https://open.spotify.com/track/3AEZUABDXNtecAO... 2017-01-01     ec  \n",
       "1  https://open.spotify.com/track/6mICuAdrwEjh6Y6... 2017-01-01     ec  \n",
       "2  https://open.spotify.com/track/3QwBODjSEzelZyV... 2017-01-01     ec  \n",
       "3  https://open.spotify.com/track/7DM4BPaS7uofFul... 2017-01-01     ec  \n",
       "4  https://open.spotify.com/track/6rQSrBHf7HlZjtc... 2017-01-01     ec  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ranking.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Statistical summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Position</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "      <th>Streams</th>\n",
       "      <th>URL</th>\n",
       "      <th>Date</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.875424e+06</td>\n",
       "      <td>5874286</td>\n",
       "      <td>5874286</td>\n",
       "      <td>5.875424e+06</td>\n",
       "      <td>5875417</td>\n",
       "      <td>5875424</td>\n",
       "      <td>5875424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>29045</td>\n",
       "      <td>9203</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35354</td>\n",
       "      <td>618</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>2018-08-31 00:00:00</td>\n",
       "      <td>nz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>32262</td>\n",
       "      <td>181097</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32262</td>\n",
       "      <td>10628</td>\n",
       "      <td>123400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>first</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-01-01 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>last</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-09-13 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.497565e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.334092e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.736224e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.062095e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.001000e+03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.500000e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.300000e+03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.200000e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.289000e+03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.440000e+02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.076900e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.000000e+02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.138152e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Position    Track Name      Artist       Streams  \\\n",
       "count   5.875424e+06       5874286     5874286  5.875424e+06   \n",
       "unique           NaN         29045        9203           NaN   \n",
       "top              NaN  Shape of You  Ed Sheeran           NaN   \n",
       "freq             NaN         32262      181097           NaN   \n",
       "first            NaN           NaN         NaN           NaN   \n",
       "last             NaN           NaN         NaN           NaN   \n",
       "mean    9.497565e+01           NaN         NaN  5.334092e+04   \n",
       "std     5.736224e+01           NaN         NaN  2.062095e+05   \n",
       "min     1.000000e+00           NaN         NaN  1.001000e+03   \n",
       "25%     4.500000e+01           NaN         NaN  3.300000e+03   \n",
       "50%     9.200000e+01           NaN         NaN  9.289000e+03   \n",
       "75%     1.440000e+02           NaN         NaN  3.076900e+04   \n",
       "max     2.000000e+02           NaN         NaN  1.138152e+07   \n",
       "\n",
       "                                                      URL  \\\n",
       "count                                             5875417   \n",
       "unique                                              35354   \n",
       "top     https://open.spotify.com/track/7qiZfU4dY1lWllz...   \n",
       "freq                                                32262   \n",
       "first                                                 NaN   \n",
       "last                                                  NaN   \n",
       "mean                                                  NaN   \n",
       "std                                                   NaN   \n",
       "min                                                   NaN   \n",
       "25%                                                   NaN   \n",
       "50%                                                   NaN   \n",
       "75%                                                   NaN   \n",
       "max                                                   NaN   \n",
       "\n",
       "                       Date   Region  \n",
       "count               5875424  5875424  \n",
       "unique                  618       61  \n",
       "top     2018-08-31 00:00:00       nz  \n",
       "freq                  10628   123400  \n",
       "first   2017-01-01 00:00:00      NaN  \n",
       "last    2018-09-13 00:00:00      NaN  \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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ranking.describe(include='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rows contain missing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Position</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "      <th>Streams</th>\n",
       "      <th>URL</th>\n",
       "      <th>Date</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39428</th>\n",
       "      <td>29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7362</td>\n",
       "      <td>https://open.spotify.com/track/3RXkboS74UYzN14...</td>\n",
       "      <td>2017-07-20</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39456</th>\n",
       "      <td>57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4426</td>\n",
       "      <td>https://open.spotify.com/track/4JAyIDXOqNM6qHu...</td>\n",
       "      <td>2017-07-20</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39463</th>\n",
       "      <td>64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4069</td>\n",
       "      <td>https://open.spotify.com/track/3bVbQvGVIe4n24A...</td>\n",
       "      <td>2017-07-20</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39490</th>\n",
       "      <td>91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3238</td>\n",
       "      <td>https://open.spotify.com/track/3eFJqPe8VUYrABb...</td>\n",
       "      <td>2017-07-20</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39631</th>\n",
       "      <td>32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7409</td>\n",
       "      <td>https://open.spotify.com/track/3RXkboS74UYzN14...</td>\n",
       "      <td>2017-07-21</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Position Track Name Artist  Streams  \\\n",
       "39428        29        NaN    NaN     7362   \n",
       "39456        57        NaN    NaN     4426   \n",
       "39463        64        NaN    NaN     4069   \n",
       "39490        91        NaN    NaN     3238   \n",
       "39631        32        NaN    NaN     7409   \n",
       "\n",
       "                                                     URL       Date Region  \n",
       "39428  https://open.spotify.com/track/3RXkboS74UYzN14... 2017-07-20     ec  \n",
       "39456  https://open.spotify.com/track/4JAyIDXOqNM6qHu... 2017-07-20     ec  \n",
       "39463  https://open.spotify.com/track/3bVbQvGVIe4n24A... 2017-07-20     ec  \n",
       "39490  https://open.spotify.com/track/3eFJqPe8VUYrABb... 2017-07-20     ec  \n",
       "39631  https://open.spotify.com/track/3RXkboS74UYzN14... 2017-07-21     ec  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ranking[df_ranking.isnull().any(axis=1)].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Position         0\n",
       "Track Name    1138\n",
       "Artist        1138\n",
       "Streams          0\n",
       "URL              7\n",
       "Date             0\n",
       "Region           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ranking.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Drop missing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ranking.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "      <th>Streams</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.874286e+06</td>\n",
       "      <td>5874286</td>\n",
       "      <td>5874286</td>\n",
       "      <td>5.874286e+06</td>\n",
       "      <td>5874286</td>\n",
       "      <td>5874286</td>\n",
       "      <td>5874286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>29045</td>\n",
       "      <td>9203</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35296</td>\n",
       "      <td>618</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>2018-08-31 00:00:00</td>\n",
       "      <td>nz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>32262</td>\n",
       "      <td>181097</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32262</td>\n",
       "      <td>10628</td>\n",
       "      <td>123389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>first</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-01-01 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>last</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-09-13 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.498153e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.334085e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.736199e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.062006e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.001000e+03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.500000e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.301000e+03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.200000e+01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.290000e+03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.440000e+02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.077100e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.000000e+02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.138152e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Position    Track Name      Artist       Streams  \\\n",
       "count   5.874286e+06       5874286     5874286  5.874286e+06   \n",
       "unique           NaN         29045        9203           NaN   \n",
       "top              NaN  Shape of You  Ed Sheeran           NaN   \n",
       "freq             NaN         32262      181097           NaN   \n",
       "first            NaN           NaN         NaN           NaN   \n",
       "last             NaN           NaN         NaN           NaN   \n",
       "mean    9.498153e+01           NaN         NaN  5.334085e+04   \n",
       "std     5.736199e+01           NaN         NaN  2.062006e+05   \n",
       "min     1.000000e+00           NaN         NaN  1.001000e+03   \n",
       "25%     4.500000e+01           NaN         NaN  3.301000e+03   \n",
       "50%     9.200000e+01           NaN         NaN  9.290000e+03   \n",
       "75%     1.440000e+02           NaN         NaN  3.077100e+04   \n",
       "max     2.000000e+02           NaN         NaN  1.138152e+07   \n",
       "\n",
       "                                                      URL  \\\n",
       "count                                             5874286   \n",
       "unique                                              35296   \n",
       "top     https://open.spotify.com/track/7qiZfU4dY1lWllz...   \n",
       "freq                                                32262   \n",
       "first                                                 NaN   \n",
       "last                                                  NaN   \n",
       "mean                                                  NaN   \n",
       "std                                                   NaN   \n",
       "min                                                   NaN   \n",
       "25%                                                   NaN   \n",
       "50%                                                   NaN   \n",
       "75%                                                   NaN   \n",
       "max                                                   NaN   \n",
       "\n",
       "                       Date   Region  \n",
       "count               5874286  5874286  \n",
       "unique                  618       61  \n",
       "top     2018-08-31 00:00:00       nz  \n",
       "freq                  10628   123389  \n",
       "first   2017-01-01 00:00:00      NaN  \n",
       "last    2018-09-13 00:00:00      NaN  \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": [
    "df_ranking.describe(include='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simple plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a73fb5f60>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 4))\n",
    "df_ranking['Region'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "be    122190\n",
      "ch    122184\n",
      "pt    122184\n",
      "nl    122182\n",
      "ec    121984\n",
      "cz    121680\n",
      "jp    120784\n",
      "gt    116769\n",
      "uy    115325\n",
      "hu    108770\n",
      "do    106925\n",
      "py    101546\n",
      "pa     92120\n",
      "bo     73889\n",
      "sv     70601\n",
      "hn     68602\n",
      "is     64082\n",
      "gr     52927\n",
      "th     50600\n",
      "sk     44267\n",
      "lv     34931\n",
      "il     27184\n",
      "lt     25851\n",
      "ee     20773\n",
      "vn     19961\n",
      "ro     16756\n",
      "lu      4144\n",
      "bg       103\n",
      "ni       102\n",
      "mt        50\n",
      "Name: Region, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df_ranking['Region'].value_counts().tail(30))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See what's happening in the data of region 'lu'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a751dc128>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 4))\n",
    "df_ranking.loc[df_ranking['Region'] == 'lu']['Date'].value_counts().plot(kind='line', style='.-')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some days do not have data at all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a7505d978>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 4))\n",
    "x_range = pd.date_range(df_ranking['Date'].min(), df_ranking['Date'].max())\n",
    "df_ranking['Date'].value_counts().reindex(x_range, fill_value=0).plot(kind='line', style='.-')"
   ]
  },
  {
   "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>code</th>\n",
       "      <th>continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AN</td>\n",
       "      <td>Antarctica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>EU</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NA</td>\n",
       "      <td>North America</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  code      continent\n",
       "0   AF         Africa\n",
       "1   AN     Antarctica\n",
       "2   AS           Asia\n",
       "3   EU         Europe\n",
       "4   NA  North America"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_continents.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>code</th>\n",
       "      <th>capital</th>\n",
       "      <th>continent</th>\n",
       "      <th>currency</th>\n",
       "      <th>languages</th>\n",
       "      <th>name</th>\n",
       "      <th>native</th>\n",
       "      <th>phone</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AD</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>EU</td>\n",
       "      <td>EUR</td>\n",
       "      <td>[ca]</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AE</td>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>AS</td>\n",
       "      <td>AED</td>\n",
       "      <td>[ar]</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>دولة الإمارات العربية المتحدة</td>\n",
       "      <td>971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AF</td>\n",
       "      <td>Kabul</td>\n",
       "      <td>AS</td>\n",
       "      <td>AFN</td>\n",
       "      <td>[ps, uz, tk]</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>افغانستان</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AG</td>\n",
       "      <td>Saint John's</td>\n",
       "      <td>NA</td>\n",
       "      <td>XCD</td>\n",
       "      <td>[en]</td>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>1268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AI</td>\n",
       "      <td>The Valley</td>\n",
       "      <td>NA</td>\n",
       "      <td>XCD</td>\n",
       "      <td>[en]</td>\n",
       "      <td>Anguilla</td>\n",
       "      <td>Anguilla</td>\n",
       "      <td>1264</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  code           capital continent currency     languages  \\\n",
       "0   AD  Andorra la Vella        EU      EUR          [ca]   \n",
       "1   AE         Abu Dhabi        AS      AED          [ar]   \n",
       "2   AF             Kabul        AS      AFN  [ps, uz, tk]   \n",
       "3   AG      Saint John's        NA      XCD          [en]   \n",
       "4   AI        The Valley        NA      XCD          [en]   \n",
       "\n",
       "                   name                         native phone  \n",
       "0               Andorra                        Andorra   376  \n",
       "1  United Arab Emirates  دولة الإمارات العربية المتحدة   971  \n",
       "2           Afghanistan                      افغانستان    93  \n",
       "3   Antigua and Barbuda            Antigua and Barbuda  1268  \n",
       "4              Anguilla                       Anguilla  1264  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_countries.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A little bit preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_region = pd.merge(df_countries, df_continents, right_on='code', left_on='continent')\n",
    "df_region = df_region[['code_x', 'name', 'code_y', 'continent_y']]\n",
    "df_region.columns = ['country_code', 'country', 'continent_code', 'continent']\n",
    "df_region = df_region.append({\n",
    "    'country_code': 'GLOBAL',\n",
    "    'country': 'GLOBAL',\n",
    "    'continent_code': 'GLOBAL',\n",
    "    'continent': 'GLOBAL'\n",
    "}, ignore_index=True)\n",
    "df_region['country_code'] = df_region['country_code'].str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>country_code</th>\n",
       "      <th>country</th>\n",
       "      <th>continent_code</th>\n",
       "      <th>continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>um</td>\n",
       "      <td>U.S. Minor Outlying Islands</td>\n",
       "      <td>OC</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>vu</td>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>OC</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>wf</td>\n",
       "      <td>Wallis and Futuna</td>\n",
       "      <td>OC</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>ws</td>\n",
       "      <td>Samoa</td>\n",
       "      <td>OC</td>\n",
       "      <td>Oceania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>global</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>GLOBAL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    country_code                      country continent_code continent\n",
       "246           um  U.S. Minor Outlying Islands             OC   Oceania\n",
       "247           vu                      Vanuatu             OC   Oceania\n",
       "248           wf            Wallis and Futuna             OC   Oceania\n",
       "249           ws                        Samoa             OC   Oceania\n",
       "250       global                       GLOBAL         GLOBAL    GLOBAL"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_region.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Position</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "      <th>Streams</th>\n",
       "      <th>URL</th>\n",
       "      <th>Date</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Reggaetón Lento (Bailemos)</td>\n",
       "      <td>CNCO</td>\n",
       "      <td>19272</td>\n",
       "      <td>https://open.spotify.com/track/3AEZUABDXNtecAO...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Chantaje</td>\n",
       "      <td>Shakira</td>\n",
       "      <td>19270</td>\n",
       "      <td>https://open.spotify.com/track/6mICuAdrwEjh6Y6...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Otra Vez (feat. J Balvin)</td>\n",
       "      <td>Zion &amp; Lennox</td>\n",
       "      <td>15761</td>\n",
       "      <td>https://open.spotify.com/track/3QwBODjSEzelZyV...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Vente Pa' Ca</td>\n",
       "      <td>Ricky Martin</td>\n",
       "      <td>14954</td>\n",
       "      <td>https://open.spotify.com/track/7DM4BPaS7uofFul...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Safari</td>\n",
       "      <td>J Balvin</td>\n",
       "      <td>14269</td>\n",
       "      <td>https://open.spotify.com/track/6rQSrBHf7HlZjtc...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Position                  Track Name         Artist  Streams  \\\n",
       "0         1  Reggaetón Lento (Bailemos)           CNCO    19272   \n",
       "1         2                    Chantaje        Shakira    19270   \n",
       "2         3   Otra Vez (feat. J Balvin)  Zion & Lennox    15761   \n",
       "3         4                Vente Pa' Ca   Ricky Martin    14954   \n",
       "4         5                      Safari       J Balvin    14269   \n",
       "\n",
       "                                                 URL       Date Region  \n",
       "0  https://open.spotify.com/track/3AEZUABDXNtecAO... 2017-01-01     ec  \n",
       "1  https://open.spotify.com/track/6mICuAdrwEjh6Y6... 2017-01-01     ec  \n",
       "2  https://open.spotify.com/track/3QwBODjSEzelZyV... 2017-01-01     ec  \n",
       "3  https://open.spotify.com/track/7DM4BPaS7uofFul... 2017-01-01     ec  \n",
       "4  https://open.spotify.com/track/6rQSrBHf7HlZjtc... 2017-01-01     ec  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ranking.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ranking_region = pd.merge(df_ranking, df_region, left_on='Region', right_on='country_code')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Position</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "      <th>Streams</th>\n",
       "      <th>URL</th>\n",
       "      <th>Date</th>\n",
       "      <th>Region</th>\n",
       "      <th>country_code</th>\n",
       "      <th>country</th>\n",
       "      <th>continent_code</th>\n",
       "      <th>continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Reggaetón Lento (Bailemos)</td>\n",
       "      <td>CNCO</td>\n",
       "      <td>19272</td>\n",
       "      <td>https://open.spotify.com/track/3AEZUABDXNtecAO...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "      <td>ec</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>SA</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Chantaje</td>\n",
       "      <td>Shakira</td>\n",
       "      <td>19270</td>\n",
       "      <td>https://open.spotify.com/track/6mICuAdrwEjh6Y6...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "      <td>ec</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>SA</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Otra Vez (feat. J Balvin)</td>\n",
       "      <td>Zion &amp; Lennox</td>\n",
       "      <td>15761</td>\n",
       "      <td>https://open.spotify.com/track/3QwBODjSEzelZyV...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "      <td>ec</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>SA</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Vente Pa' Ca</td>\n",
       "      <td>Ricky Martin</td>\n",
       "      <td>14954</td>\n",
       "      <td>https://open.spotify.com/track/7DM4BPaS7uofFul...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "      <td>ec</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>SA</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Safari</td>\n",
       "      <td>J Balvin</td>\n",
       "      <td>14269</td>\n",
       "      <td>https://open.spotify.com/track/6rQSrBHf7HlZjtc...</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>ec</td>\n",
       "      <td>ec</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>SA</td>\n",
       "      <td>South America</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Position                  Track Name         Artist  Streams  \\\n",
       "0         1  Reggaetón Lento (Bailemos)           CNCO    19272   \n",
       "1         2                    Chantaje        Shakira    19270   \n",
       "2         3   Otra Vez (feat. J Balvin)  Zion & Lennox    15761   \n",
       "3         4                Vente Pa' Ca   Ricky Martin    14954   \n",
       "4         5                      Safari       J Balvin    14269   \n",
       "\n",
       "                                                 URL       Date Region  \\\n",
       "0  https://open.spotify.com/track/3AEZUABDXNtecAO... 2017-01-01     ec   \n",
       "1  https://open.spotify.com/track/6mICuAdrwEjh6Y6... 2017-01-01     ec   \n",
       "2  https://open.spotify.com/track/3QwBODjSEzelZyV... 2017-01-01     ec   \n",
       "3  https://open.spotify.com/track/7DM4BPaS7uofFul... 2017-01-01     ec   \n",
       "4  https://open.spotify.com/track/6rQSrBHf7HlZjtc... 2017-01-01     ec   \n",
       "\n",
       "  country_code  country continent_code      continent  \n",
       "0           ec  Ecuador             SA  South America  \n",
       "1           ec  Ecuador             SA  South America  \n",
       "2           ec  Ecuador             SA  South America  \n",
       "3           ec  Ecuador             SA  South America  \n",
       "4           ec  Ecuador             SA  South America  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ranking_region.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extract more columns from 'Date' column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date = df_ranking_region[['Date']]\n",
    "df_date = df_date.drop_duplicates()\n",
    "df_date = df_date.reset_index(drop=True)\n",
    "df_date = df_date.sort_values(['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\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>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-01-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-01-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-01-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date\n",
       "0 2017-01-01\n",
       "1 2017-01-02\n",
       "2 2017-01-03\n",
       "3 2017-01-04\n",
       "4 2017-01-05"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Y2017\n"
     ]
    }
   ],
   "source": [
    "def year (d):\n",
    "    return f'Y{d.year}'\n",
    "\n",
    "print(year(df_date['Date'][0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2017M01\n"
     ]
    }
   ],
   "source": [
    "def monthofyear (d):\n",
    "    return 'M'.join((str(d.year), str(d.month).zfill(2)))\n",
    "\n",
    "print(monthofyear(df_date['Date'][0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2017Q1\n"
     ]
    }
   ],
   "source": [
    "def quarterofyear (d):\n",
    "    return 'Q'.join((str(d.year), str(d.quarter)))\n",
    "\n",
    "print(quarterofyear(df_date['Date'][0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016W52\n",
      "2017W02\n"
     ]
    }
   ],
   "source": [
    "def weekofyear (d):\n",
    "    if d.month == 1 and d.week == 52:\n",
    "        return 'W'.join((str(d.year - 1), str(d.week).zfill(2)))\n",
    "    else:\n",
    "        return 'W'.join((str(d.year), str(d.week).zfill(2)))\n",
    "\n",
    "print(weekofyear(df_date['Date'][0]))\n",
    "print(weekofyear(df_date['Date'][10]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date    618\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date['Year'] = df_date['Date'].apply(lambda x: year(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date['Quarterofyear'] = df_date['Date'].apply(lambda x: quarterofyear(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date['Monthofyear'] = df_date['Date'].apply(lambda x: monthofyear(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_date['Weekofyear'] = df_date['Date'].apply(lambda x: weekofyear(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Year</th>\n",
       "      <th>Quarterofyear</th>\n",
       "      <th>Monthofyear</th>\n",
       "      <th>Weekofyear</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M01</td>\n",
       "      <td>2016W52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-01-02</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M01</td>\n",
       "      <td>2017W01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-01-03</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M01</td>\n",
       "      <td>2017W01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M01</td>\n",
       "      <td>2017W01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-01-05</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M01</td>\n",
       "      <td>2017W01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date   Year Quarterofyear Monthofyear Weekofyear\n",
       "0 2017-01-01  Y2017        2017Q1     2017M01    2016W52\n",
       "1 2017-01-02  Y2017        2017Q1     2017M01    2017W01\n",
       "2 2017-01-03  Y2017        2017Q1     2017M01    2017W01\n",
       "3 2017-01-04  Y2017        2017Q1     2017M01    2017W01\n",
       "4 2017-01-05  Y2017        2017Q1     2017M01    2017W01"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>Date</th>\n",
       "      <th>Year</th>\n",
       "      <th>Quarterofyear</th>\n",
       "      <th>Monthofyear</th>\n",
       "      <th>Weekofyear</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>2018-09-09</td>\n",
       "      <td>Y2018</td>\n",
       "      <td>2018Q3</td>\n",
       "      <td>2018M09</td>\n",
       "      <td>2018W36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>606</th>\n",
       "      <td>2018-09-10</td>\n",
       "      <td>Y2018</td>\n",
       "      <td>2018Q3</td>\n",
       "      <td>2018M09</td>\n",
       "      <td>2018W37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>607</th>\n",
       "      <td>2018-09-11</td>\n",
       "      <td>Y2018</td>\n",
       "      <td>2018Q3</td>\n",
       "      <td>2018M09</td>\n",
       "      <td>2018W37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>608</th>\n",
       "      <td>2018-09-12</td>\n",
       "      <td>Y2018</td>\n",
       "      <td>2018Q3</td>\n",
       "      <td>2018M09</td>\n",
       "      <td>2018W37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>2018-09-13</td>\n",
       "      <td>Y2018</td>\n",
       "      <td>2018Q3</td>\n",
       "      <td>2018M09</td>\n",
       "      <td>2018W37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date   Year Quarterofyear Monthofyear Weekofyear\n",
       "605 2018-09-09  Y2018        2018Q3     2018M09    2018W36\n",
       "606 2018-09-10  Y2018        2018Q3     2018M09    2018W37\n",
       "607 2018-09-11  Y2018        2018Q3     2018M09    2018W37\n",
       "608 2018-09-12  Y2018        2018Q3     2018M09    2018W37\n",
       "609 2018-09-13  Y2018        2018Q3     2018M09    2018W37"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_date.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ranking = df_ranking_region.merge(df_date, on='Date', how='left')\n",
    "# df_ranking_2017 = df_ranking.loc[df_ranking['Year'] == 'Y2017']\n",
    "# df_ranking_2017.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Missing data for week 2017W22"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6a74fbcb38>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 4))\n",
    "df_ranking['Weekofyear'].value_counts().reindex(df_date['Weekofyear'].sort_values(), fill_value=0).plot(kind='line', style='.-')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Unique songs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "URL           35296\n",
       "Track Name    35296\n",
       "Artist        35296\n",
       "dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_songs = df_ranking[['URL', 'Track Name', 'Artist']].drop_duplicates(['URL'])\n",
    "df_songs.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aggregate stream counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>URL</th>\n",
       "      <th>continent</th>\n",
       "      <th>Date</th>\n",
       "      <th>Position</th>\n",
       "      <th>Streams</th>\n",
       "      <th>Year</th>\n",
       "      <th>Quarterofyear</th>\n",
       "      <th>Monthofyear</th>\n",
       "      <th>Weekofyear</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017-03-24</td>\n",
       "      <td>681</td>\n",
       "      <td>75974</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M03</td>\n",
       "      <td>2017W12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017-03-25</td>\n",
       "      <td>704</td>\n",
       "      <td>65583</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M03</td>\n",
       "      <td>2017W12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017-03-26</td>\n",
       "      <td>613</td>\n",
       "      <td>70725</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M03</td>\n",
       "      <td>2017W12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017-03-27</td>\n",
       "      <td>442</td>\n",
       "      <td>109785</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M03</td>\n",
       "      <td>2017W13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017-03-28</td>\n",
       "      <td>348</td>\n",
       "      <td>127947</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M03</td>\n",
       "      <td>2017W13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 URL continent       Date  \\\n",
       "0  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia 2017-03-24   \n",
       "1  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia 2017-03-25   \n",
       "2  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia 2017-03-26   \n",
       "3  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia 2017-03-27   \n",
       "4  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia 2017-03-28   \n",
       "\n",
       "   Position  Streams   Year Quarterofyear Monthofyear Weekofyear  \n",
       "0       681    75974  Y2017        2017Q1     2017M03    2017W12  \n",
       "1       704    65583  Y2017        2017Q1     2017M03    2017W12  \n",
       "2       613    70725  Y2017        2017Q1     2017M03    2017W12  \n",
       "3       442   109785  Y2017        2017Q1     2017M03    2017W13  \n",
       "4       348   127947  Y2017        2017Q1     2017M03    2017W13  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ranking_continent = df_ranking.groupby(['URL', 'continent', 'Date']).sum()\n",
    "df_ranking_continent = df_ranking_continent.reset_index()\n",
    "df_ranking_continent = df_ranking_continent.merge(df_date, on='Date', how='left')\n",
    "df_ranking_continent.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ranking_continent_daily = df_ranking_continent.merge(df_songs, on='URL', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>URL</th>\n",
       "      <th>continent</th>\n",
       "      <th>Date</th>\n",
       "      <th>Position</th>\n",
       "      <th>Streams</th>\n",
       "      <th>Year</th>\n",
       "      <th>Quarterofyear</th>\n",
       "      <th>Monthofyear</th>\n",
       "      <th>Weekofyear</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1326481</th>\n",
       "      <td>https://open.spotify.com/track/4aWmUDTfIPGksMN...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017-05-27</td>\n",
       "      <td>1</td>\n",
       "      <td>11381520</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q2</td>\n",
       "      <td>2017M05</td>\n",
       "      <td>2017W21</td>\n",
       "      <td>Despacito (Featuring Daddy Yankee)</td>\n",
       "      <td>Luis Fonsi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1077034</th>\n",
       "      <td>https://open.spotify.com/track/3ee8Jmje8o58CHK...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2018-06-19</td>\n",
       "      <td>1</td>\n",
       "      <td>10415088</td>\n",
       "      <td>Y2018</td>\n",
       "      <td>2018Q2</td>\n",
       "      <td>2018M06</td>\n",
       "      <td>2018W25</td>\n",
       "      <td>SAD!</td>\n",
       "      <td>XXXTENTACION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2272650</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017-03-03</td>\n",
       "      <td>1</td>\n",
       "      <td>9891056</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q1</td>\n",
       "      <td>2017M03</td>\n",
       "      <td>2017W09</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1326482</th>\n",
       "      <td>https://open.spotify.com/track/4aWmUDTfIPGksMN...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017-05-28</td>\n",
       "      <td>1</td>\n",
       "      <td>9849173</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>2017Q2</td>\n",
       "      <td>2017M05</td>\n",
       "      <td>2017W21</td>\n",
       "      <td>Despacito (Featuring Daddy Yankee)</td>\n",
       "      <td>Luis Fonsi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668246</th>\n",
       "      <td>https://open.spotify.com/track/2G7V7zsVDxg1yRs...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2018-07-20</td>\n",
       "      <td>1</td>\n",
       "      <td>9847333</td>\n",
       "      <td>Y2018</td>\n",
       "      <td>2018Q3</td>\n",
       "      <td>2018M07</td>\n",
       "      <td>2018W29</td>\n",
       "      <td>In My Feelings</td>\n",
       "      <td>Drake</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       URL continent  \\\n",
       "1326481  https://open.spotify.com/track/4aWmUDTfIPGksMN...    GLOBAL   \n",
       "1077034  https://open.spotify.com/track/3ee8Jmje8o58CHK...    GLOBAL   \n",
       "2272650  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL   \n",
       "1326482  https://open.spotify.com/track/4aWmUDTfIPGksMN...    GLOBAL   \n",
       "668246   https://open.spotify.com/track/2G7V7zsVDxg1yRs...    GLOBAL   \n",
       "\n",
       "              Date  Position   Streams   Year Quarterofyear Monthofyear  \\\n",
       "1326481 2017-05-27         1  11381520  Y2017        2017Q2     2017M05   \n",
       "1077034 2018-06-19         1  10415088  Y2018        2018Q2     2018M06   \n",
       "2272650 2017-03-03         1   9891056  Y2017        2017Q1     2017M03   \n",
       "1326482 2017-05-28         1   9849173  Y2017        2017Q2     2017M05   \n",
       "668246  2018-07-20         1   9847333  Y2018        2018Q3     2018M07   \n",
       "\n",
       "        Weekofyear                          Track Name        Artist  \n",
       "1326481    2017W21  Despacito (Featuring Daddy Yankee)    Luis Fonsi  \n",
       "1077034    2018W25                                SAD!  XXXTENTACION  \n",
       "2272650    2017W09                        Shape of You    Ed Sheeran  \n",
       "1326482    2017W21  Despacito (Featuring Daddy Yankee)    Luis Fonsi  \n",
       "668246     2018W29                      In My Feelings         Drake  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ranking_continent_daily.sort_values(['Streams'], ascending=[False]).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL</th>\n",
       "      <th>continent</th>\n",
       "      <th>Year</th>\n",
       "      <th>Streams</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>7304763</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>41958001</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>104141294</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>North America</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>27114782</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>10614246</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 URL      continent   Year  \\\n",
       "0  https://open.spotify.com/track/000xQL6tZNLJzIr...           Asia  Y2017   \n",
       "1  https://open.spotify.com/track/000xQL6tZNLJzIr...         Europe  Y2017   \n",
       "2  https://open.spotify.com/track/000xQL6tZNLJzIr...         GLOBAL  Y2017   \n",
       "3  https://open.spotify.com/track/000xQL6tZNLJzIr...  North America  Y2017   \n",
       "4  https://open.spotify.com/track/000xQL6tZNLJzIr...        Oceania  Y2017   \n",
       "\n",
       "     Streams      Track Name Artist  \n",
       "0    7304763  Still Got Time   ZAYN  \n",
       "1   41958001  Still Got Time   ZAYN  \n",
       "2  104141294  Still Got Time   ZAYN  \n",
       "3   27114782  Still Got Time   ZAYN  \n",
       "4   10614246  Still Got Time   ZAYN  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ranking_continent_yearly = df_ranking_continent_daily.groupby(['URL', 'continent', 'Year'])['Streams'].sum()\n",
    "df_ranking_continent_yearly = df_ranking_continent_yearly.reset_index()\n",
    "df_ranking_continent_yearly = df_ranking_continent_yearly.merge(df_songs, on='URL', how='left')\n",
    "df_ranking_continent_yearly.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>URL</th>\n",
       "      <th>continent</th>\n",
       "      <th>Year</th>\n",
       "      <th>Streams</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>54290</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>1470919913</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36654</th>\n",
       "      <td>https://open.spotify.com/track/5CtI0qwDJkDQGwX...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>908572590</td>\n",
       "      <td>Despacito - Remix</td>\n",
       "      <td>Luis Fonsi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18021</th>\n",
       "      <td>https://open.spotify.com/track/2XW4DbS6NddZxRP...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>Y2018</td>\n",
       "      <td>776178003</td>\n",
       "      <td>God's Plan</td>\n",
       "      <td>Drake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32348</th>\n",
       "      <td>https://open.spotify.com/track/4aWmUDTfIPGksMN...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>735938109</td>\n",
       "      <td>Despacito (Featuring Daddy Yankee)</td>\n",
       "      <td>Luis Fonsi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45557</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>Y2017</td>\n",
       "      <td>682354910</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     URL continent   Year  \\\n",
       "54290  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL  Y2017   \n",
       "36654  https://open.spotify.com/track/5CtI0qwDJkDQGwX...    GLOBAL  Y2017   \n",
       "18021  https://open.spotify.com/track/2XW4DbS6NddZxRP...    GLOBAL  Y2018   \n",
       "32348  https://open.spotify.com/track/4aWmUDTfIPGksMN...    GLOBAL  Y2017   \n",
       "45557  https://open.spotify.com/track/6RUKPb4LETWmmr3...    GLOBAL  Y2017   \n",
       "\n",
       "          Streams                          Track Name            Artist  \n",
       "54290  1470919913                        Shape of You        Ed Sheeran  \n",
       "36654   908572590                   Despacito - Remix        Luis Fonsi  \n",
       "18021   776178003                          God's Plan             Drake  \n",
       "32348   735938109  Despacito (Featuring Daddy Yankee)        Luis Fonsi  \n",
       "45557   682354910            Something Just Like This  The Chainsmokers  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ = df_ranking_continent_yearly[df_ranking_continent_yearly['continent'] == 'GLOBAL']\n",
    "df_.sort_values(['Streams'], ascending=[False]).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>URL</th>\n",
       "      <th>continent</th>\n",
       "      <th>Weekofyear</th>\n",
       "      <th>Streams</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017W12</td>\n",
       "      <td>495324.666667</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
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       "      <th>1</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017W13</td>\n",
       "      <td>910734.000000</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017W14</td>\n",
       "      <td>781302.000000</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017W15</td>\n",
       "      <td>626129.000000</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://open.spotify.com/track/000xQL6tZNLJzIr...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017W16</td>\n",
       "      <td>715851.000000</td>\n",
       "      <td>Still Got Time</td>\n",
       "      <td>ZAYN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 URL continent Weekofyear  \\\n",
       "0  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia    2017W12   \n",
       "1  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia    2017W13   \n",
       "2  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia    2017W14   \n",
       "3  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia    2017W15   \n",
       "4  https://open.spotify.com/track/000xQL6tZNLJzIr...      Asia    2017W16   \n",
       "\n",
       "         Streams      Track Name Artist  \n",
       "0  495324.666667  Still Got Time   ZAYN  \n",
       "1  910734.000000  Still Got Time   ZAYN  \n",
       "2  781302.000000  Still Got Time   ZAYN  \n",
       "3  626129.000000  Still Got Time   ZAYN  \n",
       "4  715851.000000  Still Got Time   ZAYN  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# df_ranking_continent_weekly = df_ranking_continent_daily.groupby(['URL', 'continent', 'Weekofyear'])['Streams'].sum()\n",
    "# Smooth out missing data\n",
    "df_ranking_continent_weekly = df_ranking_continent_daily.groupby(['URL', 'continent', 'Weekofyear'])['Streams'].mean()*7\n",
    "df_ranking_continent_weekly = df_ranking_continent_weekly.reset_index()\n",
    "df_ranking_continent_weekly = df_ranking_continent_weekly.merge(df_songs, on='URL', how='left')\n",
    "df_ranking_continent_weekly.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "      <th>124465</th>\n",
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       "      <th>422995</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W10</td>\n",
       "      <td>6.007302e+07</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33696</th>\n",
       "      <td>https://open.spotify.com/track/0bAkKNCQfWkexHF...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2018W28</td>\n",
       "      <td>5.685987e+07</td>\n",
       "      <td>In My Feelings</td>\n",
       "      <td>Drake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124467</th>\n",
       "      <td>https://open.spotify.com/track/2G7V7zsVDxg1yRs...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2018W31</td>\n",
       "      <td>5.685607e+07</td>\n",
       "      <td>In My Feelings</td>\n",
       "      <td>Drake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422994</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W09</td>\n",
       "      <td>5.640900e+07</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138626</th>\n",
       "      <td>https://open.spotify.com/track/2XW4DbS6NddZxRP...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2018W04</td>\n",
       "      <td>5.456682e+07</td>\n",
       "      <td>God's Plan</td>\n",
       "      <td>Drake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280818</th>\n",
       "      <td>https://open.spotify.com/track/5CtI0qwDJkDQGwX...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W21</td>\n",
       "      <td>5.447583e+07</td>\n",
       "      <td>Despacito - Remix</td>\n",
       "      <td>Luis Fonsi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138630</th>\n",
       "      <td>https://open.spotify.com/track/2XW4DbS6NddZxRP...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2018W08</td>\n",
       "      <td>5.393889e+07</td>\n",
       "      <td>God's Plan</td>\n",
       "      <td>Drake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422996</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W11</td>\n",
       "      <td>5.339616e+07</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137646</th>\n",
       "      <td>https://open.spotify.com/track/2Vx8E3K5icPZR7O...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2018W26</td>\n",
       "      <td>5.339061e+07</td>\n",
       "      <td>Nonstop</td>\n",
       "      <td>Drake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138631</th>\n",
       "      <td>https://open.spotify.com/track/2XW4DbS6NddZxRP...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2018W09</td>\n",
       "      <td>5.284314e+07</td>\n",
       "      <td>God's Plan</td>\n",
       "      <td>Drake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422992</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W07</td>\n",
       "      <td>5.270924e+07</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280817</th>\n",
       "      <td>https://open.spotify.com/track/5CtI0qwDJkDQGwX...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W20</td>\n",
       "      <td>5.248059e+07</td>\n",
       "      <td>Despacito - Remix</td>\n",
       "      <td>Luis Fonsi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422990</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W05</td>\n",
       "      <td>5.228376e+07</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422991</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W06</td>\n",
       "      <td>5.197257e+07</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422993</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W08</td>\n",
       "      <td>5.104426e+07</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422989</th>\n",
       "      <td>https://open.spotify.com/track/7qiZfU4dY1lWllz...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W04</td>\n",
       "      <td>5.061306e+07</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124468</th>\n",
       "      <td>https://open.spotify.com/track/2G7V7zsVDxg1yRs...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2018W32</td>\n",
       "      <td>5.013170e+07</td>\n",
       "      <td>In My Feelings</td>\n",
       "      <td>Drake</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      URL continent  \\\n",
       "33697   https://open.spotify.com/track/0bAkKNCQfWkexHF...    GLOBAL   \n",
       "124465  https://open.spotify.com/track/2G7V7zsVDxg1yRs...    GLOBAL   \n",
       "124466  https://open.spotify.com/track/2G7V7zsVDxg1yRs...    GLOBAL   \n",
       "422995  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL   \n",
       "33696   https://open.spotify.com/track/0bAkKNCQfWkexHF...    GLOBAL   \n",
       "124467  https://open.spotify.com/track/2G7V7zsVDxg1yRs...    GLOBAL   \n",
       "422994  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL   \n",
       "138626  https://open.spotify.com/track/2XW4DbS6NddZxRP...    GLOBAL   \n",
       "280818  https://open.spotify.com/track/5CtI0qwDJkDQGwX...    GLOBAL   \n",
       "138630  https://open.spotify.com/track/2XW4DbS6NddZxRP...    GLOBAL   \n",
       "422996  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL   \n",
       "137646  https://open.spotify.com/track/2Vx8E3K5icPZR7O...    GLOBAL   \n",
       "138631  https://open.spotify.com/track/2XW4DbS6NddZxRP...    GLOBAL   \n",
       "422992  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL   \n",
       "280817  https://open.spotify.com/track/5CtI0qwDJkDQGwX...    GLOBAL   \n",
       "422990  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL   \n",
       "422991  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL   \n",
       "422993  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL   \n",
       "422989  https://open.spotify.com/track/7qiZfU4dY1lWllz...    GLOBAL   \n",
       "124468  https://open.spotify.com/track/2G7V7zsVDxg1yRs...    GLOBAL   \n",
       "\n",
       "       Weekofyear       Streams         Track Name      Artist  \n",
       "33697     2018W29  6.716053e+07     In My Feelings       Drake  \n",
       "124465    2018W29  6.457704e+07     In My Feelings       Drake  \n",
       "124466    2018W30  6.386189e+07     In My Feelings       Drake  \n",
       "422995    2017W10  6.007302e+07       Shape of You  Ed Sheeran  \n",
       "33696     2018W28  5.685987e+07     In My Feelings       Drake  \n",
       "124467    2018W31  5.685607e+07     In My Feelings       Drake  \n",
       "422994    2017W09  5.640900e+07       Shape of You  Ed Sheeran  \n",
       "138626    2018W04  5.456682e+07         God's Plan       Drake  \n",
       "280818    2017W21  5.447583e+07  Despacito - Remix  Luis Fonsi  \n",
       "138630    2018W08  5.393889e+07         God's Plan       Drake  \n",
       "422996    2017W11  5.339616e+07       Shape of You  Ed Sheeran  \n",
       "137646    2018W26  5.339061e+07            Nonstop       Drake  \n",
       "138631    2018W09  5.284314e+07         God's Plan       Drake  \n",
       "422992    2017W07  5.270924e+07       Shape of You  Ed Sheeran  \n",
       "280817    2017W20  5.248059e+07  Despacito - Remix  Luis Fonsi  \n",
       "422990    2017W05  5.228376e+07       Shape of You  Ed Sheeran  \n",
       "422991    2017W06  5.197257e+07       Shape of You  Ed Sheeran  \n",
       "422993    2017W08  5.104426e+07       Shape of You  Ed Sheeran  \n",
       "422989    2017W04  5.061306e+07       Shape of You  Ed Sheeran  \n",
       "124468    2018W32  5.013170e+07     In My Feelings       Drake  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ = df_ranking_continent_weekly[df_ranking_continent_weekly['continent'] == 'GLOBAL']\n",
    "df_.sort_values(['Streams'], ascending=[False]).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'10644    https://open.spotify.com/track/6RUKPb4LETWmmr3...'"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_songs[df_songs['Track Name'] == 'Something Just Like This']['URL'].to_string()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>URL</th>\n",
       "      <th>continent</th>\n",
       "      <th>Weekofyear</th>\n",
       "      <th>Streams</th>\n",
       "      <th>Track Name</th>\n",
       "      <th>Artist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>351601</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017W08</td>\n",
       "      <td>3.355348e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351765</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W08</td>\n",
       "      <td>3.071345e+07</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351929</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>2017W08</td>\n",
       "      <td>1.136809e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351683</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>Europe</td>\n",
       "      <td>2017W08</td>\n",
       "      <td>1.054003e+07</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352011</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>South America</td>\n",
       "      <td>2017W08</td>\n",
       "      <td>1.726541e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351847</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>North America</td>\n",
       "      <td>2017W08</td>\n",
       "      <td>9.186999e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351766</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W09</td>\n",
       "      <td>3.060435e+07</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351684</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>Europe</td>\n",
       "      <td>2017W09</td>\n",
       "      <td>1.267029e+07</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352012</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>South America</td>\n",
       "      <td>2017W09</td>\n",
       "      <td>1.881876e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351930</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>2017W09</td>\n",
       "      <td>1.435369e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351848</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>North America</td>\n",
       "      <td>2017W09</td>\n",
       "      <td>1.022456e+07</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351602</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017W09</td>\n",
       "      <td>4.330710e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351849</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>North America</td>\n",
       "      <td>2017W10</td>\n",
       "      <td>9.259155e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351767</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W10</td>\n",
       "      <td>2.919716e+07</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351685</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>Europe</td>\n",
       "      <td>2017W10</td>\n",
       "      <td>1.262224e+07</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352013</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>South America</td>\n",
       "      <td>2017W10</td>\n",
       "      <td>1.891663e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351603</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>Asia</td>\n",
       "      <td>2017W10</td>\n",
       "      <td>3.925768e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351931</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>2017W10</td>\n",
       "      <td>1.386954e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351768</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>GLOBAL</td>\n",
       "      <td>2017W11</td>\n",
       "      <td>2.783384e+07</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351850</th>\n",
       "      <td>https://open.spotify.com/track/6RUKPb4LETWmmr3...</td>\n",
       "      <td>North America</td>\n",
       "      <td>2017W11</td>\n",
       "      <td>8.508037e+06</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                      URL      continent  \\\n",
       "351601  https://open.spotify.com/track/6RUKPb4LETWmmr3...           Asia   \n",
       "351765  https://open.spotify.com/track/6RUKPb4LETWmmr3...         GLOBAL   \n",
       "351929  https://open.spotify.com/track/6RUKPb4LETWmmr3...        Oceania   \n",
       "351683  https://open.spotify.com/track/6RUKPb4LETWmmr3...         Europe   \n",
       "352011  https://open.spotify.com/track/6RUKPb4LETWmmr3...  South America   \n",
       "351847  https://open.spotify.com/track/6RUKPb4LETWmmr3...  North America   \n",
       "351766  https://open.spotify.com/track/6RUKPb4LETWmmr3...         GLOBAL   \n",
       "351684  https://open.spotify.com/track/6RUKPb4LETWmmr3...         Europe   \n",
       "352012  https://open.spotify.com/track/6RUKPb4LETWmmr3...  South America   \n",
       "351930  https://open.spotify.com/track/6RUKPb4LETWmmr3...        Oceania   \n",
       "351848  https://open.spotify.com/track/6RUKPb4LETWmmr3...  North America   \n",
       "351602  https://open.spotify.com/track/6RUKPb4LETWmmr3...           Asia   \n",
       "351849  https://open.spotify.com/track/6RUKPb4LETWmmr3...  North America   \n",
       "351767  https://open.spotify.com/track/6RUKPb4LETWmmr3...         GLOBAL   \n",
       "351685  https://open.spotify.com/track/6RUKPb4LETWmmr3...         Europe   \n",
       "352013  https://open.spotify.com/track/6RUKPb4LETWmmr3...  South America   \n",
       "351603  https://open.spotify.com/track/6RUKPb4LETWmmr3...           Asia   \n",
       "351931  https://open.spotify.com/track/6RUKPb4LETWmmr3...        Oceania   \n",
       "351768  https://open.spotify.com/track/6RUKPb4LETWmmr3...         GLOBAL   \n",
       "351850  https://open.spotify.com/track/6RUKPb4LETWmmr3...  North America   \n",
       "\n",
       "       Weekofyear       Streams                Track Name            Artist  \n",
       "351601    2017W08  3.355348e+06  Something Just Like This  The Chainsmokers  \n",
       "351765    2017W08  3.071345e+07  Something Just Like This  The Chainsmokers  \n",
       "351929    2017W08  1.136809e+06  Something Just Like This  The Chainsmokers  \n",
       "351683    2017W08  1.054003e+07  Something Just Like This  The Chainsmokers  \n",
       "352011    2017W08  1.726541e+06  Something Just Like This  The Chainsmokers  \n",
       "351847    2017W08  9.186999e+06  Something Just Like This  The Chainsmokers  \n",
       "351766    2017W09  3.060435e+07  Something Just Like This  The Chainsmokers  \n",
       "351684    2017W09  1.267029e+07  Something Just Like This  The Chainsmokers  \n",
       "352012    2017W09  1.881876e+06  Something Just Like This  The Chainsmokers  \n",
       "351930    2017W09  1.435369e+06  Something Just Like This  The Chainsmokers  \n",
       "351848    2017W09  1.022456e+07  Something Just Like This  The Chainsmokers  \n",
       "351602    2017W09  4.330710e+06  Something Just Like This  The Chainsmokers  \n",
       "351849    2017W10  9.259155e+06  Something Just Like This  The Chainsmokers  \n",
       "351767    2017W10  2.919716e+07  Something Just Like This  The Chainsmokers  \n",
       "351685    2017W10  1.262224e+07  Something Just Like This  The Chainsmokers  \n",
       "352013    2017W10  1.891663e+06  Something Just Like This  The Chainsmokers  \n",
       "351603    2017W10  3.925768e+06  Something Just Like This  The Chainsmokers  \n",
       "351931    2017W10  1.386954e+06  Something Just Like This  The Chainsmokers  \n",
       "351768    2017W11  2.783384e+07  Something Just Like This  The Chainsmokers  \n",
       "351850    2017W11  8.508037e+06  Something Just Like This  The Chainsmokers  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ = df_ranking_continent_weekly[df_ranking_continent_weekly['Track Name'] == \"Something Just Like This\"]\n",
    "df_.sort_values(['Weekofyear'], ascending=[True]).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ranking_continent_weekly.to_csv('ranking_continent_weekly.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sjlt_weekly = df_ranking_continent_weekly[df_ranking_continent_weekly['Track Name'] == \"Something Just Like This\"]\n",
    "df_sjlt_weekly = df_sjlt_weekly.sort_values(['Weekofyear', 'Streams'], ascending=[True, False])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sjlt_weekly.to_csv('something_just_like_this_weekly.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sjlt_daily = df_ranking_continent_daily[df_ranking_continent_daily['Track Name'] == \"Something Just Like This\"]\n",
    "df_sjlt_daily = df_sjlt_daily.sort_values(['Weekofyear', 'Streams'], ascending=[True, False])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sjlt_daily.to_csv('something_just_like_this_daily.csv', index=False)"
   ]
  }
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