thisismyjam-data-dump-ipython-notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  This Is My Jam - Data Dump"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Andreas Jansson, 2015. gmail: andreas.s.t.jansson"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[This Is My Jam](http://www.thisismyjam.com) was an online social music service, founded in London in 2011. It went into read-only [archive mode](http://thisismyjam.tumblr.com/post/126260430022/jam-preserves) in September 2015.\n",
    "\n",
    "As part of archiving the site we are releasing an [anonymized dump of the final database](https://archive.org/details/thisismyjam-datadump). In this notebook we explore the data from a few different angles to give a sense of possible applications of the data set."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![logo](https://www.thisismyjam.com/includes/image/archives_logo@2x.png?v=2.0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Download the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Archive:  thisismyjam-datadump.zip\n",
      "   creating: archive/\n",
      "  inflating: archive/followers.tsv   \n",
      "  inflating: archive/jams.tsv        \n",
      "  inflating: archive/likes.tsv       \n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "wget --quiet https://archive.org/download/thisismyjam-datadump/thisismyjam-datadump.zip\n",
    "unzip thisismyjam-datadump.zip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First some imports and helper functions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import collections\n",
    "import string\n",
    "import dateutil.parser\n",
    "from matplotlib import ticker\n",
    "import json\n",
    "import datetime\n",
    "\n",
    "def fuzzy_string(s):\n",
    "    return s.str.lower().replace('[^a-z]', '', regex=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use [Pandas](http://pandas.pydata.org/) to analyze the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Skipping line 57952: expected 7 fields, saw 8\n",
      "\n",
      "Skipping line 846714: expected 7 fields, saw 8\n",
      "\n",
      "Skipping line 1330260: expected 7 fields, saw 8\n",
      "\n",
      "Skipping line 1543478: expected 7 fields, saw 8\n",
      "\n",
      "Skipping line 1579152: expected 7 fields, saw 8\n",
      "Skipping line 1612031: expected 7 fields, saw 8\n",
      "\n",
      "Skipping line 1784169: expected 7 fields, saw 8\n",
      "\n"
     ]
    }
   ],
   "source": [
    "jams = pd.read_csv('archive/jams.tsv', sep='\\t', header=0,\n",
    "                   index_col=None, encoding='utf8',\n",
    "                   escapechar='\\\\', error_bad_lines=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pandas sometimes has issues with lines with escaped newlines, so we filter bad-looking lines here (there aren't many)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "jams = jams[jams['creation_date'].notnull()]\n",
    "jams = jams[jams['creation_date'].str.startswith('20')]\n",
    "jams['creation_date'] = pd.to_datetime(jams['creation_date'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally we set the `song_key` for each song to be a naively normalized artist+title. We'll use this later to compare unique songs. For our purposes here it's okay to lose a little data and filter jams with empty song_keys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2087522"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jams['song_key'] = fuzzy_string(jams['artist'] + jams['title'])\n",
    "jams = jams[jams['song_key'] != '']\n",
    "len(jams)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we load likes and followers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5968624"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "likes = pd.read_csv('archive/likes.tsv', sep='\\t', header=0,\n",
    "                    index_col=None, encoding='utf8',\n",
    "                    error_bad_lines=False)\n",
    "len(likes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1603404"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "followers = pd.read_csv('archive/followers.tsv', sep='\\t', header=0,\n",
    "                        index_col=None, encoding='utf8',\n",
    "                        error_bad_lines=False)\n",
    "len(followers)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For comparison I crawled YouTube play counts and Billboard Top 100 2011-2015 for the top jams, let's load those datasets too."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "wget --quiet \"https://gist.githubusercontent.com/andreasjansson/0dfa60c3aa9a2cd759a1/raw/11bf3ae9b1dbfc1a6c70d275427fbee888452f80/youtube.txt\"\n",
    "wget --quiet \"https://gist.githubusercontent.com/andreasjansson/f105e98c911f0634edcb/raw/93259edcb040c76ca4fdc2bb7d95ac0df4715cf5/billboard.json\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open('billboard.json') as f:\n",
    "    raw = json.load(f)\n",
    "data = []\n",
    "for chart in raw:\n",
    "    for song in chart['songs']:\n",
    "        date = dateutil.parser.parse(chart['date'])\n",
    "        data.append([date, song['artist'], song['title'], song['position']])\n",
    "billboard = pd.DataFrame(data, columns=['date', 'artist', 'title', 'position'])\n",
    "billboard['song_key'] = fuzzy_string(billboard['artist'].replace(' feat.+$', '', regex=True) + billboard['title'])\n",
    "\n",
    "def get_billboard_top_position(df):\n",
    "    top_row = df[df['position'] == np.min(df['position'])].iloc[0]\n",
    "    return '%s (%s)' % (top_row['position'], top_row['date'].strftime('%Y-%m-%d'))\n",
    "\n",
    "billboard_top_positions = (billboard\n",
    "                           .groupby('song_key')\n",
    "                           .apply(get_billboard_top_position)\n",
    "                           .reset_index())\n",
    "billboard_top_positions.columns = ['song_key', 'billboard_top_position']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = {}\n",
    "with open('youtube.txt') as f:\n",
    "    for line in f:\n",
    "        song_key, youtube_plays = line.strip().split()\n",
    "        data[song_key] = int(youtube_plays)\n",
    "youtube = pd.DataFrame([{'song_key': song_key, 'youtube_plays': youtube_plays}\n",
    "                        for song_key, youtube_plays in data.iteritems()])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's also interesting to look at which jams were active during a particular day, not just jams posted. We generate that data and store it in `daily_jams`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "JAM_END_DATE = dateutil.parser.parse('2015-09-26')\n",
    "\n",
    "def fill_prev_dates(data, next_date, prev_date, prev_row):\n",
    "    if prev_date is not None:\n",
    "        cur_date = prev_date\n",
    "        end_date = prev_date + datetime.timedelta(days=7)\n",
    "        while True:\n",
    "            cur_date += datetime.timedelta(days=1)\n",
    "            prev_row = prev_row.copy()\n",
    "            if cur_date >= next_date or cur_date >= end_date:\n",
    "                break\n",
    "            prev_row['creation_date'] = cur_date\n",
    "            data.append(prev_row)\n",
    "\n",
    "def fill_dates(df):\n",
    "    data = []\n",
    "    prev_row = None\n",
    "    prev_date = None\n",
    "    for row in df.to_dict('records'):\n",
    "        fill_prev_dates(data, row['creation_date'], prev_date, prev_row)\n",
    "        data.append(row)\n",
    "        prev_date = row['creation_date']\n",
    "        prev_row = row\n",
    "    fill_prev_dates(data, JAM_END_DATE, prev_date, prev_row)\n",
    "    return pd.DataFrame(data)\n",
    "\n",
    "daily_jams = jams.groupby('user_id').apply(fill_dates)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll save a view of the jams joined with likes as `jams_with_likes`, and that grouped by `song_key` as `songs`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "likes_per_jam = (likes\n",
    "                 .groupby('jam_id')['user_id']\n",
    "                 .count()\n",
    "                 .reset_index()\n",
    "                 .rename(columns={'user_id': 'num_likes'}))\n",
    "jams_with_likes = jams.merge(likes_per_jam, on='jam_id', how='left')\n",
    "jams_with_likes['num_likes'].fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "700591"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_songs(jams_with_likes):\n",
    "    return (jams_with_likes\n",
    "            .groupby('song_key')\n",
    "            .agg({'jam_id': 'count',\n",
    "                  'num_likes': 'sum',\n",
    "                  'artist': 'first',\n",
    "                  'title': 'first'})\n",
    "            .reset_index()\n",
    "            .rename(columns={'jam_id': 'num_jams'}))\n",
    "songs = get_songs(jams_with_likes)\n",
    "len(songs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![logo](https://www.thisismyjam.com/includes/image/archives_logo@2x.png?v=2.0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's make a little utility function to graph on a logarithmic Y-axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def log_graph(x, xlabel=None, ylabel=None):\n",
    "    plt.plot(x)\n",
    "    plt.yscale('log')\n",
    "    plt.axes().yaxis.set_major_formatter(ticker.FormatStrFormatter('%d'))\n",
    "    min_x = np.min(x)\n",
    "    max_x = np.max(x)\n",
    "    if min_x == 0:\n",
    "        min_x = 0.1\n",
    "    plt.ylim([min_x, max_x])\n",
    "    if xlabel:\n",
    "        plt.xlabel(xlabel)\n",
    "    if ylabel:\n",
    "        plt.ylabel(ylabel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Jams per person"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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2RKfd3VM1opD1Fk2xs88OEwRWrIB33kk6jYjkWSq6zsxsnrvvH2eIWshToSno3x8++9kw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\nd/92AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14413d250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_graph(jams.groupby('user_id')['jam_id'].count().sort(ascending=False, inplace=False), xlabel='User index', ylabel='Number of jams')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Likes given per person"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ZmVn/0LAto55IOkTSEkkPSDotdTzd6erFXUnDJc2XtFTSDZKGlZ07Pa/TEkkH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\nmZlZcv8fO8tSPZjDbLIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16a191410>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_graph(likes.groupby('user_id')['jam_id'].count().sort(ascending=False, inplace=False), xlabel='User index', ylabel='Number of likes given')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Likes per jam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1346bfbd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_graph(likes.groupby('jam_id')['user_id'].count().sort(ascending=False, inplace=False), xlabel='Jam index', ylabel='Number of likes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Followers per user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'num_followed', u'num_followers', u'user_id', u'ratio'], dtype='object')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "follower_stats = (followers\n",
    "                  .groupby('follower_user_id')['followed_user_id']\n",
    "                  .count()\n",
    "                  .reset_index()\n",
    "                  .merge(followers\n",
    "                         .groupby('followed_user_id')['follower_user_id']\n",
    "                         .count()\n",
    "                         .reset_index(),\n",
    "                         left_on='follower_user_id', right_on='followed_user_id', how='outer'))\n",
    "follower_stats['user_id'] = follower_stats['follower_user_id_x']\n",
    "follower_stats.loc[follower_stats['user_id'].isnull(), 'user_id'] = follower_stats[follower_stats['user_id'].isnull()]['followed_user_id_y']\n",
    "follower_stats.drop(['follower_user_id_x', 'followed_user_id_y'], axis=1, inplace=True)\n",
    "follower_stats.rename(columns={'follower_user_id_y': 'num_followers', 'followed_user_id_x': 'num_followed'}, inplace=True)\n",
    "follower_stats.fillna(0, inplace=True)\n",
    "follower_stats['ratio'] = (follower_stats['num_followers'] + 1) / (follower_stats['num_followed'] + 1)\n",
    "follower_stats.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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gWm4VqhIRX4+InSJiV1I/8vSIGEsL1A0gi+tFSXtmRccAc0hjJU1fP9LYyKGS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\nJXVLwwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1718e0250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_graph(follower_stats['num_followers'].sort(ascending=False, inplace=False), xlabel='User index', ylabel='Number of followers')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of users followed per user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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es236WS3AkPSv26x9CJgo6S/AFcBBki6jOfpGGsMzEXFX+vgXJAnphSbp3weB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\noOMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x164246a50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_graph(follower_stats['num_followed'].sort(ascending=False, inplace=False), xlabel='User index', ylabel='Number of users followed')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Follower ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ZWfk40ZiZWa5aPtFIGidpnqTHJJ1WdDy9kbSVpNskPSTpT5JOzso3lDRd0qOS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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x166cfded0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_graph(follower_stats['ratio'].sort(ascending=False, inplace=False), xlabel='User index', ylabel='Followers / users followed ratio')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![logo](https://www.thisismyjam.com/includes/image/archives_logo@2x.png?v=2.0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top jams and artists"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll compare jams to YouTube plays and Billboard chart positions, so we'll merge songs, youtube, and billboard into one `merged_songs` variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'song_key', u'title', u'num_likes', u'num_jams', u'artist',\n",
       "       u'billboard_top_position', u'youtube_plays'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_songs = (songs\n",
    "                .merge(billboard_top_positions, on='song_key', how='left')\n",
    "                .merge(youtube, on='song_key', how='left'))\n",
    "merged_songs.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most posted jams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>title</th>\n",
       "      <th>num_jams</th>\n",
       "      <th>num_likes</th>\n",
       "      <th>billboard_top_position</th>\n",
       "      <th>youtube_plays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alt-j</td>\n",
       "      <td>Breezeblocks</td>\n",
       "      <td>1070</td>\n",
       "      <td>1277</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70737601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Of Monsters And Men</td>\n",
       "      <td>Little Talks</td>\n",
       "      <td>998</td>\n",
       "      <td>967</td>\n",
       "      <td>20 (2013-02-16)</td>\n",
       "      <td>158730595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arctic Monkeys</td>\n",
       "      <td>Do I Wanna Know?</td>\n",
       "      <td>874</td>\n",
       "      <td>2771</td>\n",
       "      <td>70 (2014-03-22)</td>\n",
       "      <td>217387511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Grimes</td>\n",
       "      <td>Oblivion</td>\n",
       "      <td>872</td>\n",
       "      <td>1507</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18441827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lorde</td>\n",
       "      <td>Royals</td>\n",
       "      <td>818</td>\n",
       "      <td>1033</td>\n",
       "      <td>1 (2013-12-07)</td>\n",
       "      <td>513468680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>The Lumineers</td>\n",
       "      <td>Ho Hey</td>\n",
       "      <td>786</td>\n",
       "      <td>741</td>\n",
       "      <td>3 (2013-02-09)</td>\n",
       "      <td>134697041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Chvrches</td>\n",
       "      <td>The Mother We Share</td>\n",
       "      <td>769</td>\n",
       "      <td>1115</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11418762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Gotye</td>\n",
       "      <td>Somebody That I Used To Know</td>\n",
       "      <td>763</td>\n",
       "      <td>593</td>\n",
       "      <td>1 (2012-06-16)</td>\n",
       "      <td>685106679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alabama Shakes</td>\n",
       "      <td>Hold On</td>\n",
       "      <td>712</td>\n",
       "      <td>748</td>\n",
       "      <td>93 (2013-03-09)</td>\n",
       "      <td>14149362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M83</td>\n",
       "      <td>Midnight City</td>\n",
       "      <td>706</td>\n",
       "      <td>1028</td>\n",
       "      <td>72 (2012-04-28)</td>\n",
       "      <td>65395649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Imagine Dragons</td>\n",
       "      <td>Radioactive</td>\n",
       "      <td>676</td>\n",
       "      <td>665</td>\n",
       "      <td>3 (2013-08-24)</td>\n",
       "      <td>395443387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Django Django</td>\n",
       "      <td>Default</td>\n",
       "      <td>675</td>\n",
       "      <td>831</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3871704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>James Blake</td>\n",
       "      <td>Retrograde</td>\n",
       "      <td>670</td>\n",
       "      <td>1105</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12049339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Grimes</td>\n",
       "      <td>Genesis</td>\n",
       "      <td>656</td>\n",
       "      <td>944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30713998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Tame Impala</td>\n",
       "      <td>Elephant</td>\n",
       "      <td>644</td>\n",
       "      <td>2061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9286576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>The Black Keys</td>\n",
       "      <td>Lonely Boy</td>\n",
       "      <td>627</td>\n",
       "      <td>1462</td>\n",
       "      <td>64 (2011-12-24)</td>\n",
       "      <td>48148093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Beach House</td>\n",
       "      <td>Myth</td>\n",
       "      <td>620</td>\n",
       "      <td>1364</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4040163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kavinsky</td>\n",
       "      <td>Nightcall</td>\n",
       "      <td>618</td>\n",
       "      <td>749</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62550781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Tame Impala</td>\n",
       "      <td>Feels Like We Only Go Backwards</td>\n",
       "      <td>617</td>\n",
       "      <td>2058</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23388025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Daft Punk</td>\n",
       "      <td>Get Lucky</td>\n",
       "      <td>613</td>\n",
       "      <td>942</td>\n",
       "      <td>2 (2013-07-27)</td>\n",
       "      <td>117348136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Santigold</td>\n",
       "      <td>Disparate YouthÂ</td>\n",
       "      <td>565</td>\n",
       "      <td>600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Macklemore &amp; Ryan Lewis</td>\n",
       "      <td>Thrift Shop (feat. Wanz)</td>\n",
       "      <td>557</td>\n",
       "      <td>282</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25383720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Edward Sharpe &amp; The Magnetic Zeros</td>\n",
       "      <td>Home</td>\n",
       "      <td>552</td>\n",
       "      <td>1347</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1251854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Awolnation</td>\n",
       "      <td>Sail</td>\n",
       "      <td>539</td>\n",
       "      <td>661</td>\n",
       "      <td>17 (2013-10-12)</td>\n",
       "      <td>19300308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Icona Pop</td>\n",
       "      <td>I Love It</td>\n",
       "      <td>534</td>\n",
       "      <td>503</td>\n",
       "      <td>7 (2013-06-08)</td>\n",
       "      <td>97033299</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                artist                            title  \\\n",
       "0                                alt-j                     Breezeblocks   \n",
       "1                  Of Monsters And Men                     Little Talks   \n",
       "2                       Arctic Monkeys                 Do I Wanna Know?   \n",
       "3                               Grimes                         Oblivion   \n",
       "4                                Lorde                           Royals   \n",
       "5                        The Lumineers                           Ho Hey   \n",
       "6                             Chvrches              The Mother We Share   \n",
       "7                                Gotye     Somebody That I Used To Know   \n",
       "8                       Alabama Shakes                          Hold On   \n",
       "9                                  M83                    Midnight City   \n",
       "10                     Imagine Dragons                      Radioactive   \n",
       "11                       Django Django                          Default   \n",
       "12                         James Blake                       Retrograde   \n",
       "13                              Grimes                          Genesis   \n",
       "14                         Tame Impala                         Elephant   \n",
       "15                      The Black Keys                       Lonely Boy   \n",
       "16                         Beach House                             Myth   \n",
       "17                            Kavinsky                        Nightcall   \n",
       "18                         Tame Impala  Feels Like We Only Go Backwards   \n",
       "19                           Daft Punk                        Get Lucky   \n",
       "20                           Santigold                Disparate YouthÂ    \n",
       "21             Macklemore & Ryan Lewis         Thrift Shop (feat. Wanz)   \n",
       "22  Edward Sharpe & The Magnetic Zeros                             Home   \n",
       "23                          Awolnation                             Sail   \n",
       "24                           Icona Pop                        I Love It   \n",
       "\n",
       "    num_jams  num_likes billboard_top_position  youtube_plays  \n",
       "0       1070       1277                    NaN       70737601  \n",
       "1        998        967        20 (2013-02-16)      158730595  \n",
       "2        874       2771        70 (2014-03-22)      217387511  \n",
       "3        872       1507                    NaN       18441827  \n",
       "4        818       1033         1 (2013-12-07)      513468680  \n",
       "5        786        741         3 (2013-02-09)      134697041  \n",
       "6        769       1115                    NaN       11418762  \n",
       "7        763        593         1 (2012-06-16)      685106679  \n",
       "8        712        748        93 (2013-03-09)       14149362  \n",
       "9        706       1028        72 (2012-04-28)       65395649  \n",
       "10       676        665         3 (2013-08-24)      395443387  \n",
       "11       675        831                    NaN        3871704  \n",
       "12       670       1105                    NaN       12049339  \n",
       "13       656        944                    NaN       30713998  \n",
       "14       644       2061                    NaN        9286576  \n",
       "15       627       1462        64 (2011-12-24)       48148093  \n",
       "16       620       1364                    NaN        4040163  \n",
       "17       618        749                    NaN       62550781  \n",
       "18       617       2058                    NaN       23388025  \n",
       "19       613        942         2 (2013-07-27)      117348136  \n",
       "20       565        600                    NaN            NaN  \n",
       "21       557        282                    NaN       25383720  \n",
       "22       552       1347                    NaN        1251854  \n",
       "23       539        661        17 (2013-10-12)       19300308  \n",
       "24       534        503         7 (2013-06-08)       97033299  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_songs.sort('num_jams', ascending=False, inplace=False)[:25].reset_index()[['artist', 'title', 'num_jams', 'num_likes', 'billboard_top_position', 'youtube_plays']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most liked jams"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most liked jams are pretty different to the most posted jams. It appears that users posted modern tracks but liked the \"classics\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>title</th>\n",
       "      <th>num_jams</th>\n",
       "      <th>num_likes</th>\n",
       "      <th>billboard_top_position</th>\n",
       "      <th>youtube_plays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Arctic Monkeys</td>\n",
       "      <td>Do I Wanna Know?</td>\n",
       "      <td>874</td>\n",
       "      <td>2771</td>\n",
       "      <td>70 (2014-03-22)</td>\n",
       "      <td>217387511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Joy Division</td>\n",
       "      <td>Love Will Tear Us Apart</td>\n",
       "      <td>301</td>\n",
       "      <td>2651</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9175639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Rolling Stones</td>\n",
       "      <td>Gimme Shelter</td>\n",
       "      <td>315</td>\n",
       "      <td>2619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16388778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Heroes</td>\n",
       "      <td>436</td>\n",
       "      <td>2615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4432253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixies</td>\n",
       "      <td>Where Is My Mind?</td>\n",
       "      <td>487</td>\n",
       "      <td>2587</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2142955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>The Clash</td>\n",
       "      <td>London Calling</td>\n",
       "      <td>243</td>\n",
       "      <td>2313</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12759845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>The Who</td>\n",
       "      <td>Baba O'Riley</td>\n",
       "      <td>235</td>\n",
       "      <td>2209</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16928020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Life On Mars</td>\n",
       "      <td>366</td>\n",
       "      <td>2120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17002246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Tame Impala</td>\n",
       "      <td>Elephant</td>\n",
       "      <td>644</td>\n",
       "      <td>2061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9286576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Tame Impala</td>\n",
       "      <td>Feels Like We Only Go Backwards</td>\n",
       "      <td>617</td>\n",
       "      <td>2058</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23388025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>The Smiths</td>\n",
       "      <td>There Is A Light That Never Goes Out</td>\n",
       "      <td>339</td>\n",
       "      <td>2045</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13668380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>The Velvet Underground</td>\n",
       "      <td>Pale Blue Eyes</td>\n",
       "      <td>245</td>\n",
       "      <td>1969</td>\n",
       "      <td>NaN</td>\n",
       "      <td>502923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Talking Heads</td>\n",
       "      <td>This Must Be the Place (Naive Melody)</td>\n",
       "      <td>453</td>\n",
       "      <td>1888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>571450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Talking Heads</td>\n",
       "      <td>Psycho Killer</td>\n",
       "      <td>268</td>\n",
       "      <td>1880</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3698382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>The Smiths</td>\n",
       "      <td>How Soon Is Now?</td>\n",
       "      <td>275</td>\n",
       "      <td>1862</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6770745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Johnny Cash</td>\n",
       "      <td>Hurt</td>\n",
       "      <td>436</td>\n",
       "      <td>1840</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10117859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bob Dylan</td>\n",
       "      <td>Like A Rolling Stone</td>\n",
       "      <td>161</td>\n",
       "      <td>1790</td>\n",
       "      <td>2 (1965-09-11)</td>\n",
       "      <td>1289000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sam Cooke</td>\n",
       "      <td>A Change Is Gonna Come</td>\n",
       "      <td>214</td>\n",
       "      <td>1721</td>\n",
       "      <td>31 (1965-03-06)</td>\n",
       "      <td>12941858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Pink Floyd</td>\n",
       "      <td>Wish You Were Here</td>\n",
       "      <td>334</td>\n",
       "      <td>1695</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66034514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Led Zeppelin</td>\n",
       "      <td>When The Levee Breaks</td>\n",
       "      <td>209</td>\n",
       "      <td>1657</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5824601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>The Velvet Underground</td>\n",
       "      <td>Venus In Furs</td>\n",
       "      <td>169</td>\n",
       "      <td>1655</td>\n",
       "      <td>NaN</td>\n",
       "      <td>860405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Talking Heads</td>\n",
       "      <td>Once in a lifetime</td>\n",
       "      <td>322</td>\n",
       "      <td>1643</td>\n",
       "      <td>91 (1986-05-03)</td>\n",
       "      <td>899204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>The Rolling Stones</td>\n",
       "      <td>Paint It Black</td>\n",
       "      <td>195</td>\n",
       "      <td>1631</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14271057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Joy Division</td>\n",
       "      <td>Atmosphere</td>\n",
       "      <td>160</td>\n",
       "      <td>1579</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1545521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Bobby Womack</td>\n",
       "      <td>Across 110th Street</td>\n",
       "      <td>256</td>\n",
       "      <td>1576</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2980545</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    artist                                  title  num_jams  \\\n",
       "0           Arctic Monkeys                       Do I Wanna Know?       874   \n",
       "1             Joy Division                Love Will Tear Us Apart       301   \n",
       "2       The Rolling Stones                          Gimme Shelter       315   \n",
       "3              David Bowie                                 Heroes       436   \n",
       "4                   Pixies                      Where Is My Mind?       487   \n",
       "5                The Clash                         London Calling       243   \n",
       "6                  The Who                           Baba O'Riley       235   \n",
       "7              David Bowie                           Life On Mars       366   \n",
       "8              Tame Impala                               Elephant       644   \n",
       "9              Tame Impala        Feels Like We Only Go Backwards       617   \n",
       "10              The Smiths   There Is A Light That Never Goes Out       339   \n",
       "11  The Velvet Underground                         Pale Blue Eyes       245   \n",
       "12           Talking Heads  This Must Be the Place (Naive Melody)       453   \n",
       "13           Talking Heads                          Psycho Killer       268   \n",
       "14              The Smiths                       How Soon Is Now?       275   \n",
       "15             Johnny Cash                                   Hurt       436   \n",
       "16               Bob Dylan                   Like A Rolling Stone       161   \n",
       "17               Sam Cooke                 A Change Is Gonna Come       214   \n",
       "18              Pink Floyd                     Wish You Were Here       334   \n",
       "19            Led Zeppelin                  When The Levee Breaks       209   \n",
       "20  The Velvet Underground                          Venus In Furs       169   \n",
       "21           Talking Heads                     Once in a lifetime       322   \n",
       "22      The Rolling Stones                         Paint It Black       195   \n",
       "23            Joy Division                             Atmosphere       160   \n",
       "24            Bobby Womack                    Across 110th Street       256   \n",
       "\n",
       "    num_likes billboard_top_position  youtube_plays  \n",
       "0        2771        70 (2014-03-22)      217387511  \n",
       "1        2651                    NaN        9175639  \n",
       "2        2619                    NaN       16388778  \n",
       "3        2615                    NaN        4432253  \n",
       "4        2587                    NaN        2142955  \n",
       "5        2313                    NaN       12759845  \n",
       "6        2209                    NaN       16928020  \n",
       "7        2120                    NaN       17002246  \n",
       "8        2061                    NaN        9286576  \n",
       "9        2058                    NaN       23388025  \n",
       "10       2045                    NaN       13668380  \n",
       "11       1969                    NaN         502923  \n",
       "12       1888                    NaN         571450  \n",
       "13       1880                    NaN        3698382  \n",
       "14       1862                    NaN        6770745  \n",
       "15       1840                    NaN       10117859  \n",
       "16       1790         2 (1965-09-11)        1289000  \n",
       "17       1721        31 (1965-03-06)       12941858  \n",
       "18       1695                    NaN       66034514  \n",
       "19       1657                    NaN        5824601  \n",
       "20       1655                    NaN         860405  \n",
       "21       1643        91 (1986-05-03)         899204  \n",
       "22       1631                    NaN       14271057  \n",
       "23       1579                    NaN        1545521  \n",
       "24       1576                    NaN        2980545  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_songs.sort('num_likes', ascending=False, inplace=False)[:25].reset_index()[['artist', 'title', 'num_jams', 'num_likes', 'billboard_top_position', 'youtube_plays']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most jammed artists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>num_jams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>8143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Beatles</td>\n",
       "      <td>6648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Radiohead</td>\n",
       "      <td>6058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Daft Punk</td>\n",
       "      <td>4928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Arctic Monkeys</td>\n",
       "      <td>4614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>The Rolling Stones</td>\n",
       "      <td>4331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>The National</td>\n",
       "      <td>4213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Lana Del Rey</td>\n",
       "      <td>3965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>The Black Keys</td>\n",
       "      <td>3927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Led Zeppelin</td>\n",
       "      <td>3876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bob Dylan</td>\n",
       "      <td>3744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>The Smiths</td>\n",
       "      <td>3687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pink Floyd</td>\n",
       "      <td>3587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Arcade Fire</td>\n",
       "      <td>3427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Talking Heads</td>\n",
       "      <td>3397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Beastie Boys</td>\n",
       "      <td>3320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Tame Impala</td>\n",
       "      <td>3288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>The Cure</td>\n",
       "      <td>3235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Pixies</td>\n",
       "      <td>3071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tom Waits</td>\n",
       "      <td>3071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>CHVRCHES</td>\n",
       "      <td>2985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Queen</td>\n",
       "      <td>2985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Beck</td>\n",
       "      <td>2879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Muse</td>\n",
       "      <td>2853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Bruce Springsteen</td>\n",
       "      <td>2823</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                artist  num_jams\n",
       "0          David Bowie      8143\n",
       "1          The Beatles      6648\n",
       "2            Radiohead      6058\n",
       "3            Daft Punk      4928\n",
       "4       Arctic Monkeys      4614\n",
       "5   The Rolling Stones      4331\n",
       "6         The National      4213\n",
       "7         Lana Del Rey      3965\n",
       "8       The Black Keys      3927\n",
       "9         Led Zeppelin      3876\n",
       "10           Bob Dylan      3744\n",
       "11          The Smiths      3687\n",
       "12          Pink Floyd      3587\n",
       "13         Arcade Fire      3427\n",
       "14       Talking Heads      3397\n",
       "15        Beastie Boys      3320\n",
       "16         Tame Impala      3288\n",
       "17            The Cure      3235\n",
       "18              Pixies      3071\n",
       "19           Tom Waits      3071\n",
       "20            CHVRCHES      2985\n",
       "21               Queen      2985\n",
       "22                Beck      2879\n",
       "23                Muse      2853\n",
       "24   Bruce Springsteen      2823"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jams.groupby('artist')['jam_id'].count().sort(ascending=False, inplace=False).reset_index()[:25].rename(columns={'jam_id': 'num_jams'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![logo](https://www.thisismyjam.com/includes/image/archives_logo@2x.png?v=2.0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Jams over time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a user of This Is My Jam, one often got the sense that songs became popular on the site before they became popular with the general public. To try to quantify this we look at the number of active jams compared to Billboard position."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's look at [Pharrell William's \"Happy\"](https://www.youtube.com/watch?v=y6Sxv-sUYtM)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def compare_jam_billboard(daily_jams, billboard, song_keys):\n",
    "    j = daily_jams[daily_jams['song_key'].isin(song_keys)].groupby('creation_date')['jam_id'].count()\n",
    "    b = billboard[billboard['song_key'].isin(song_keys)]\n",
    "    b.index = b.date\n",
    "    b = b['position']\n",
    "\n",
    "    min_date = min(j.index.min(), b.index.min())\n",
    "    max_date = max(j.index.max(), b.index.max())\n",
    "    xlim = [min_date, max_date]\n",
    "    date_range = pd.date_range(min_date, max_date)\n",
    "\n",
    "    j = j.reindex(date_range, fill_value=0)\n",
    "\n",
    "    fig, ax1 = plt.subplots()\n",
    "    plt.xticks(rotation=30)\n",
    "\n",
    "    ax1.invert_yaxis()\n",
    "    line1 = ax1.plot(b.index, b.values, label='Billboard', color='blue')\n",
    "    ax1.set_ylabel('Billboard position')\n",
    "\n",
    "    ax2 = ax1.twinx()\n",
    "    line2 = ax2.plot(j.index, j.values, label='TIMJ', color='red')\n",
    "    ax2.set_ylabel('Number of active jams')\n",
    "\n",
    "    lines1, labels1 = ax1.get_legend_handles_labels()\n",
    "    lines2, labels2 = ax2.get_legend_handles_labels()\n",
    "    ax2.legend(lines1 + lines2, labels1 + labels2, loc=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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gA1i61GWhG0axUNUZwAwR2VVVn8v1OGGyzr7yBuaMBepV9UxVXZrrCY0i4yuB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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119c064d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compare_jam_billboard(daily_jams, billboard, ['pharrellhappy', 'pharrellwilliamshappy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we can look at [\"Shake It Off\" by Taylor Swift](https://www.youtube.com/watch?v=nfWlot6h_JM) and see similar results. We also see that tracks stay popular on Billboard longer than on This Is My Jam, where interest fades fairly quickly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iOE5lad8ejj8e7rqr/L6ffoITTzRF060b/N//waBBlrHmONXILsBIoEXkfUTk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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1728415d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "compare_jam_billboard(daily_jams, billboard, ['taylorswiftshakeitoff'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![logo](https://www.thisismyjam.com/includes/image/archives_logo@2x.png?v=2.0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Indie vs. Mainstream"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can define the mainstreamness of a user as the per-jam average number of users who posted the same song."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "songs_by_user = jams.merge(songs, on='song_key').groupby('user_id')\n",
    "user_mainstreamness = (songs_by_user\n",
    "                       .agg({'num_jams': 'mean'})\n",
    "                       .rename(columns={'num_jams': 'mean_jam_popularity'})\n",
    "                       .reset_index()[['user_id', 'mean_jam_popularity']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below is a graph of users ordered by mainstreamness."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PZecbERFJkbhnnZVMiybu/1AiItIwmRmjMbNBwChgZzP7wMzOTjqTiIisX6a6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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16fb4b0d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "log_graph(user_mainstreamness.sort('mean_jam_popularity', inplace=False)['mean_jam_popularity'], xlabel='User index', ylabel='Mainstreamness')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With this definition of mainstreamness we can compare songs posted by \"indie\" vs. \"mainstream\" users. As an example, let us look at the most popular David Bowie songs posted by the least mainstream 33% and most mainstream 33% of users."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def get_artist_tracks_by_user_segment(user_mainstreamness, jams_with_likes, artist, min_mainstream, max_mainstream):\n",
    "    sorted_users = user_mainstreamness.sort('mean_jam_popularity', inplace=False)\n",
    "    n = len(sorted_users)\n",
    "    user_ids = sorted_users[int(n * min_mainstream):int(n * max_mainstream)]['user_id']\n",
    "    artist_jams = jams_with_likes[(jams_with_likes['artist'].str.lower() == artist.lower()) & jams_with_likes['user_id'].isin(user_ids)]\n",
    "    artist_songs = get_songs(artist_jams)\n",
    "    return artist_songs.sort('num_jams', ascending=False, inplace=False).reset_index()[['artist', 'title', 'num_jams']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Indie Bowie:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>title</th>\n",
       "      <th>num_jams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Love Is Lost - Hello Steve Reich Mix by James ...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Golden Years</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Queen Bitch</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>A New Career in a New Town</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Always Crashing In The Same Car</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>We Are the Dead</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Subterraneans</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Slip Away</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Cactus</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Boys Keep Swinging</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        artist                                              title  num_jams\n",
       "0  David Bowie  Love Is Lost - Hello Steve Reich Mix by James ...         7\n",
       "1  David Bowie                                       Golden Years         6\n",
       "2  David Bowie                                        Queen Bitch         6\n",
       "3  David Bowie                         A New Career in a New Town         6\n",
       "4  David Bowie                   Always Crashing In The Same Car          5\n",
       "5  David Bowie                                    We Are the Dead         5\n",
       "6  David Bowie                                      Subterraneans         4\n",
       "7  David Bowie                                          Slip Away         4\n",
       "8  David Bowie                                             Cactus         4\n",
       "9  David Bowie                                 Boys Keep Swinging         4"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_artist_tracks_by_user_segment(user_mainstreamness, jams_with_likes, 'david bowie', 0, 1/3.)[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mainstream Bowie:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>title</th>\n",
       "      <th>num_jams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Heroes</td>\n",
       "      <td>321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Life On Mars</td>\n",
       "      <td>238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Where Are We Now?</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Space Oddity</td>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Modern Love</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Starman</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Ashes To Ashes</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Sound And Vision</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Queen Bitch</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>David Bowie</td>\n",
       "      <td>Let's Dance</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        artist              title  num_jams\n",
       "0  David Bowie             Heroes       321\n",
       "1  David Bowie       Life On Mars       238\n",
       "2  David Bowie  Where Are We Now?       174\n",
       "3  David Bowie       Space Oddity       144\n",
       "4  David Bowie        Modern Love       143\n",
       "5  David Bowie            Starman       101\n",
       "6  David Bowie     Ashes To Ashes        96\n",
       "7  David Bowie   Sound And Vision        95\n",
       "8  David Bowie        Queen Bitch        94\n",
       "9  David Bowie        Let's Dance        84"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_artist_tracks_by_user_segment(user_mainstreamness, jams_with_likes, 'david bowie', 2/3., 1)[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One interesting observation from those tables is that the titles in \"Indie Bowie\" are longer than the titles on \"Mainstream Bowie\". Using our data we can confirm that more popular tracks have shorter song titles. The next graph shows title length ordered by song popularity (with a rolling average of 10,000 jams)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x173b30150>"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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koiVSeCgihJCSEUydmylnu53Ca30lca4dlrCKFBaKCCGk5AR9F23b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\nhBBCSN5QRAghhOTN/wddXzrNY1yzSwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16cc0b590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "strlen = jams.merge(songs[['song_key', 'num_jams']], on='song_key').sort('num_jams')['title'].str.len()\n",
    "plt.plot(pd.rolling_mean(strlen[strlen < 100], 10000))\n",
    "plt.ylabel('Song title length')\n",
    "plt.xlabel('Jams ordered by popularity')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![logo](https://www.thisismyjam.com/includes/image/archives_logo@2x.png?v=2.0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## One-hit-wonders"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us define the _OneHitWonderness_ of an artist as\n",
    "\n",
    "$$\\textrm{OneHitWonderness}_a = \\frac{\\sqrt[3]{\\sum_i {J_{a, i}}^4}}{\\sum_i J_{a, i}}$$\n",
    "\n",
    "where $a$ is an artist and $J_{a,i}$ is the number of jams for song $i$ by artist $a$.\n",
    "\n",
    "Using this equation we list the top one hit wonders."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>title</th>\n",
       "      <th>num_jams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PSY</td>\n",
       "      <td>GANGNAM STYLE</td>\n",
       "      <td>503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Solange</td>\n",
       "      <td>Losing You</td>\n",
       "      <td>496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Toto</td>\n",
       "      <td>Africa</td>\n",
       "      <td>423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>College</td>\n",
       "      <td>A Real Hero (feat. Electric Youth)</td>\n",
       "      <td>399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Redbone</td>\n",
       "      <td>Come And Get Your Love</td>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Skee-Lo</td>\n",
       "      <td>I Wish</td>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Q Lazzarus</td>\n",
       "      <td>Goodbye Horses</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>White Town</td>\n",
       "      <td>Your Woman</td>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ram Jam</td>\n",
       "      <td>BLACK BETTY</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Blue Swede</td>\n",
       "      <td>Hooked On A Feeling</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       artist                               title  num_jams\n",
       "0         PSY                       GANGNAM STYLE       503\n",
       "1     Solange                          Losing You       496\n",
       "2        Toto                              Africa       423\n",
       "3     College  A Real Hero (feat. Electric Youth)       399\n",
       "4     Redbone              Come And Get Your Love       194\n",
       "5     Skee-Lo                              I Wish       175\n",
       "6  Q Lazzarus                      Goodbye Horses       156\n",
       "7  White Town                          Your Woman       153\n",
       "8     Ram Jam                         BLACK BETTY       145\n",
       "9  Blue Swede                 Hooked On A Feeling       133"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "equation = lambda x: (np.sum((x) ** 4.) ** (1/3.)) / np.sum(x)\n",
    "artist_keys = (songs[~songs['artist'].str.contains('feat')] # filter \"X feat. Y\"\n",
    "               .groupby(fuzzy_string(songs['artist']))\n",
    "               .agg({'num_jams': equation})\n",
    "               .sort('num_jams', ascending=False)\n",
    "               .head(10)\n",
    "               .index.values)\n",
    "one_hit_wonders = (songs[fuzzy_string(songs['artist']).isin(artist_keys)]\n",
    "                   .sort('num_jams', ascending=False)\n",
    "                   .reset_index())\n",
    "one_hit_wonders[['artist', 'title', 'num_jams']][:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unsurprisingly, [Gangnam Style](https://www.youtube.com/watch?v=9bZkp7q19f0) is the most one-hit-wonder of the past four years."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![logo](https://www.thisismyjam.com/includes/image/archives_logo@2x.png?v=2.0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Seasonal jams"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the next chart we plot active jams over time that have the words \"summer\" or \"christmas\" in their titles (normalized, with a rolling average of a week)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x162adc6d0>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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//4mYSCHqAXSJbneP3ifmlwCOJ4T0AvgYgPK2hSkSwoSlOkudt8h5Z7u8V6sKs8/d0ZJM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\nT//8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16bf34cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "terms = ['christmas', 'summer']\n",
    "title_string = daily_jams['title'].str.lower().str\n",
    "for term in terms:\n",
    "    mask = title_string.contains(term).fillna(False)\n",
    "    seasonal = daily_jams[mask].groupby('creation_date')['jam_id'].count()\n",
    "    seasonal = pd.rolling_mean(seasonal, 7)\n",
    "    seasonal /= np.max(seasonal)\n",
    "    seasonal.plot(label=term)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us define the _christmasness_ of a song as the number of jams posted between December 1 and December 25, divided by the total number of jams for that song. The following table lists the Jam community’s favorite Christmas songs (ordered by christmasness, with a minimum of 50 jams)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def find_seasonal_jams(jams, songs, min_jams, month, min_day, max_day):\n",
    "    is_in_season = lambda d: (d.month == month\n",
    "                              and d.day >= min_day\n",
    "                              and d.day <= max_day)\n",
    "    mask = jams['creation_date'].map(is_in_season)\n",
    "    seasonal = (jams[mask]\n",
    "                .groupby('song_key')['jam_id']\n",
    "                .count())\n",
    "    joined = songs.join(seasonal, on='song_key', how='left').fillna(0)\n",
    "    joined['ratio'] = joined['jam_id'] / joined['num_jams']\n",
    "    return (joined[joined['num_jams'] > min_jams]\n",
    "            .sort(['ratio', 'num_jams'], ascending=False)\n",
    "            .reset_index())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>title</th>\n",
       "      <th>ratio</th>\n",
       "      <th>num_jams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Kinks</td>\n",
       "      <td>Father Christmas</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ramones</td>\n",
       "      <td>Merry Christmas (I Don't Want to Fight Tonight)</td>\n",
       "      <td>0.945455</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Julian Casablancas</td>\n",
       "      <td>I Wish It Was Christmas Today</td>\n",
       "      <td>0.932203</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bob Dylan</td>\n",
       "      <td>Must Be Santa</td>\n",
       "      <td>0.923913</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Kate Bush</td>\n",
       "      <td>December Will Be Magic Again</td>\n",
       "      <td>0.921569</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>The Darkness</td>\n",
       "      <td>Christmas Time (Don't Let The Bells End)</td>\n",
       "      <td>0.919355</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Low</td>\n",
       "      <td>Just Like Christmas</td>\n",
       "      <td>0.918033</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Run-DMC</td>\n",
       "      <td>Christmas In Hollis</td>\n",
       "      <td>0.917722</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Darlene Love</td>\n",
       "      <td>Christmas (Baby Please Come Home)</td>\n",
       "      <td>0.914894</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>The Waitresses</td>\n",
       "      <td>Christmas Wrapping</td>\n",
       "      <td>0.899038</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               artist                                            title  \\\n",
       "0           The Kinks                                 Father Christmas   \n",
       "1             Ramones  Merry Christmas (I Don't Want to Fight Tonight)   \n",
       "2  Julian Casablancas                    I Wish It Was Christmas Today   \n",
       "3           Bob Dylan                                    Must Be Santa   \n",
       "4           Kate Bush                     December Will Be Magic Again   \n",
       "5        The Darkness         Christmas Time (Don't Let The Bells End)   \n",
       "6                 Low                              Just Like Christmas   \n",
       "7             Run-DMC                              Christmas In Hollis   \n",
       "8        Darlene Love                Christmas (Baby Please Come Home)   \n",
       "9      The Waitresses                               Christmas Wrapping   \n",
       "\n",
       "      ratio  num_jams  \n",
       "0  0.954545        88  \n",
       "1  0.945455        55  \n",
       "2  0.932203        59  \n",
       "3  0.923913        92  \n",
       "4  0.921569        51  \n",
       "5  0.919355        62  \n",
       "6  0.918033       183  \n",
       "7  0.917722       158  \n",
       "8  0.914894        94  \n",
       "9  0.899038       208  "
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "find_seasonal_jams(jams, songs, 50, 12, 1, 25)[:10][['artist', 'title', 'ratio', 'num_jams']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the same algorithm we can attempt to find Halloween jams."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artist</th>\n",
       "      <th>title</th>\n",
       "      <th>ratio</th>\n",
       "      <th>num_jams</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lou Reed</td>\n",
       "      <td>Halloween Parade</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mary J. Blige</td>\n",
       "      <td>Be Without You</td>\n",
       "      <td>0.812500</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Misfits</td>\n",
       "      <td>Halloween</td>\n",
       "      <td>0.740741</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lady Gaga</td>\n",
       "      <td>Do What U Want (feat. R Kelly)</td>\n",
       "      <td>0.735294</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Danny Elfman</td>\n",
       "      <td>This is Halloween</td>\n",
       "      <td>0.695652</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bobby \"Boris\" Pickett</td>\n",
       "      <td>Monster Mash</td>\n",
       "      <td>0.692308</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Tracy Jordan</td>\n",
       "      <td>Werewolf Bar Mitzvah</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Marilyn Manson</td>\n",
       "      <td>This Is Halloween</td>\n",
       "      <td>0.656250</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ministry</td>\n",
       "      <td>Everyday Is Halloween</td>\n",
       "      <td>0.612500</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>The Weeknd</td>\n",
       "      <td>Enemy</td>\n",
       "      <td>0.580645</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  artist                           title     ratio  num_jams\n",
       "0               Lou Reed                Halloween Parade  0.954545        44\n",
       "1          Mary J. Blige                  Be Without You  0.812500        32\n",
       "2                Misfits                       Halloween  0.740741        27\n",
       "3              Lady Gaga  Do What U Want (feat. R Kelly)  0.735294        34\n",
       "4           Danny Elfman               This is Halloween  0.695652        23\n",
       "5  Bobby \"Boris\" Pickett                    Monster Mash  0.692308        26\n",
       "6           Tracy Jordan            Werewolf Bar Mitzvah  0.666667        30\n",
       "7         Marilyn Manson               This Is Halloween  0.656250        32\n",
       "8               Ministry           Everyday Is Halloween  0.612500        80\n",
       "9             The Weeknd                           Enemy  0.580645        31"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "find_seasonal_jams(jams, songs, 20, 10, 20, 31)[:10][['artist', 'title', 'ratio', 'num_jams']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![logo](https://www.thisismyjam.com/includes/image/archives_logo@2x.png?v=2.0) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The End"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This was just a few examples of what you can do with the rather unique This Is My Jam data set. I hope it will spark some interest! If you do anything cool with the data, send me an email and I'll share it with the TIMJ team."
   ]
  }
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