Evaluating Music Listening.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluation of andilistenstomusic.tumblr.com\n",
    "\n",
    "Hey there! This notebook evaluates the logged listining habits of DJ mixes which I posted to [andilistenstomusic.tumblr.com](http://andilistenstomusic.tumblr.com).\n",
    "\n",
    "I found [*Beat Bolli*'s `tumblr_backup.py` script](https://github.com/bbolli/tumblr-utils) an easy way to download the raw data. This notebook expects all posts from the tumblog in the `dir` variable. Just call `tumblr_backup.py andilistenstomusic` from the current directory and you're done!\n",
    "\n",
    "All interesting data is parsed from the HTML page with BeautifulSoup. Data handling and evaluation is done with Pandas (yay, DataFrame) and beautiful plotting is enabled with Seaborn. Get them with `pip` (right from this notebook, btw, with `!pip install beautifulsoup pandas seaborn`)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Retrieve Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import os, re\n",
    "from bs4 import BeautifulSoup as bs\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dir = \"./andilistenstomusic/posts/\"\n",
    "files = []\n",
    "for f in os.listdir(dir):\n",
    "    if f.endswith(\".html\"):\n",
    "        files.append(os.path.join(dir,f))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "rawsoup = []\n",
    "for f in files:\n",
    "    with open(f, \"r\") as input:\n",
    "        rawsoup.append(bs(input, 'html.parser'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parse 'em"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def getHoster(text):\n",
    "    if \"SoundCloud\" in text.text:\n",
    "        return \"Soundcloud\"\n",
    "    elif \"Mixcloud\" in text.text:\n",
    "        return \"Mixcloud\"\n",
    "    elif text.iframe != None:\n",
    "        if \"soundcloud\" in text.iframe.get(\"src\").lower():\n",
    "            return \"Soundcloud\"\n",
    "        elif \"mixcloud\" in text.iframe.get(\"src\").lower():\n",
    "            return \"Mixcloud\"\n",
    "        else:\n",
    "            return \"Other\"\n",
    "    elif text.h2.a != None:\n",
    "        if \"soundcloud\" in text.h2.a.get(\"href\").lower():\n",
    "            return \"Soundcloud\"\n",
    "        elif \"mixcloud\" in text.h2.a.get(\"href\").lower():\n",
    "            return \"Mixcloud\"\n",
    "        else:\n",
    "            return \"Other\"\n",
    "    else:\n",
    "        return \"Other\"\n",
    "\n",
    "\n",
    "regex_min = re.compile(r'\\[(\\d*)min\\]')\n",
    "regex_tags = re.compile(r'(<a href=\"http:\\/\\/.*\\/tagged.*\">#)(.*)(\\<\\/a>)')\n",
    "parsedSoup = {}\n",
    "for (i, entry) in enumerate(rawsoup):\n",
    "    tempEntry = {}\n",
    "    date = entry.findAll('time')[0].text\n",
    "    tempEntry['parsed_date'] = datetime.datetime.strptime(date, \"%d.%m.%Y %H:%M:%S\")\n",
    "    if regex_min.search(entry.article.text) is not None:\n",
    "        tempEntry['length'] = int(regex_min.search(entry.article.text).group(1))\n",
    "    else:\n",
    "        tempEntry['length'] = -1\n",
    "    tempEntry['id'] = entry.article.get(\"id\")[2:]\n",
    "    tempEntry['hoster'] = getHoster(entry)\n",
    "    tempEntry['tags'] = [t[1] for t in regex_tags.findall(str(entry))]\n",
    "    parsedSoup[i] = tempEntry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>hoster</th>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>Mixcloud</td>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>Mixcloud</td>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>Mixcloud</td>\n",
       "      <td>...</td>\n",
       "      <td>Soundcloud</td>\n",
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       "      <td>Soundcloud</td>\n",
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       "      <td>Mixcloud</td>\n",
       "      <td>Mixcloud</td>\n",
       "      <td>Soundcloud</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>100061604933</td>\n",
       "      <td>100066569953</td>\n",
       "      <td>100076151638</td>\n",
       "      <td>100079130078</td>\n",
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       "      <td>99898600783</td>\n",
       "      <td>99900686483</td>\n",
       "      <td>99906470168</td>\n",
       "      <td>99982590908</td>\n",
       "      <td>99995935768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>length</th>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
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       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parsed_date</th>\n",
       "      <td>2014-10-15 08:34:15</td>\n",
       "      <td>2014-10-15 11:17:13</td>\n",
       "      <td>2014-10-15 15:46:38</td>\n",
       "      <td>2014-10-15 16:46:31</td>\n",
       "      <td>2014-10-17 16:14:26</td>\n",
       "      <td>2014-10-17 17:43:32</td>\n",
       "      <td>2014-10-19 18:38:18</td>\n",
       "      <td>2014-10-20 12:58:58</td>\n",
       "      <td>2014-10-21 14:32:40</td>\n",
       "      <td>2014-10-21 15:51:24</td>\n",
       "      <td>...</td>\n",
       "      <td>2014-10-07 15:22:18</td>\n",
       "      <td>2014-10-07 16:50:02</td>\n",
       "      <td>2014-10-08 19:10:07</td>\n",
       "      <td>2014-10-11 16:42:52</td>\n",
       "      <td>2014-10-13 10:48:20</td>\n",
       "      <td>2014-10-13 13:19:00</td>\n",
       "      <td>2014-10-13 14:16:42</td>\n",
       "      <td>2014-10-13 16:18:13</td>\n",
       "      <td>2014-10-14 10:47:55</td>\n",
       "      <td>2014-10-14 16:40:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tags</th>\n",
       "      <td>[SoundCloud, FELIX CARTAL, Dance, EDM, Electro...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[SoundCloud, Monstercat, Dance, Podcast, MCP030]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[SoundCloud, Treasure Fingers, house]</td>\n",
       "      <td>[SoundCloud, Bargrooves, SonnyFodera, Coyu, Cr...</td>\n",
       "      <td>[SoundCloud, Aeroplane (Official)]</td>\n",
       "      <td>[SoundCloud, David Sebo, Caribou, essential mi...</td>\n",
       "      <td>[SoundCloud, Funk Cash, Funk, Disco, Nudisco]</td>\n",
       "      <td>[]</td>\n",
       "      <td>...</td>\n",
       "      <td>[SoundCloud, Defected Records, House, Mix, Pod...</td>\n",
       "      <td>[SoundCloud, Monstercat, Dance, Podcast, 29]</td>\n",
       "      <td>[SoundCloud, Treasure Fingers, house music]</td>\n",
       "      <td>[SoundCloud, FELIX CARTAL, Dance, EDM, Electro...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[SoundCloud, Defected Records, Defected, ITH, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 1000 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                           0    \\\n",
       "hoster                                              Soundcloud   \n",
       "id                                                100061604933   \n",
       "length                                                      -1   \n",
       "parsed_date                                2014-10-15 08:34:15   \n",
       "tags         [SoundCloud, FELIX CARTAL, Dance, EDM, Electro...   \n",
       "\n",
       "                             1    \\\n",
       "hoster                  Mixcloud   \n",
       "id                  100066569953   \n",
       "length                        -1   \n",
       "parsed_date  2014-10-15 11:17:13   \n",
       "tags                          []   \n",
       "\n",
       "                                                          2    \\\n",
       "hoster                                             Soundcloud   \n",
       "id                                               100076151638   \n",
       "length                                                     -1   \n",
       "parsed_date                               2014-10-15 15:46:38   \n",
       "tags         [SoundCloud, Monstercat, Dance, Podcast, MCP030]   \n",
       "\n",
       "                             3                                      4    \\\n",
       "hoster                  Mixcloud                             Soundcloud   \n",
       "id                  100079130078                           100240138688   \n",
       "length                        -1                                     -1   \n",
       "parsed_date  2014-10-15 16:46:31                    2014-10-17 16:14:26   \n",
       "tags                          []  [SoundCloud, Treasure Fingers, house]   \n",
       "\n",
       "                                                           5    \\\n",
       "hoster                                              Soundcloud   \n",
       "id                                                100244943113   \n",
       "length                                                      -1   \n",
       "parsed_date                                2014-10-17 17:43:32   \n",
       "tags         [SoundCloud, Bargrooves, SonnyFodera, Coyu, Cr...   \n",
       "\n",
       "                                            6    \\\n",
       "hoster                               Soundcloud   \n",
       "id                                 100418577548   \n",
       "length                                       -1   \n",
       "parsed_date                 2014-10-19 18:38:18   \n",
       "tags         [SoundCloud, Aeroplane (Official)]   \n",
       "\n",
       "                                                           7    \\\n",
       "hoster                                              Soundcloud   \n",
       "id                                                100492478828   \n",
       "length                                                      -1   \n",
       "parsed_date                                2014-10-20 12:58:58   \n",
       "tags         [SoundCloud, David Sebo, Caribou, essential mi...   \n",
       "\n",
       "                                                       8    \\\n",
       "hoster                                          Soundcloud   \n",
       "id                                            100580447928   \n",
       "length                                                  -1   \n",
       "parsed_date                            2014-10-21 14:32:40   \n",
       "tags         [SoundCloud, Funk Cash, Funk, Disco, Nudisco]   \n",
       "\n",
       "                             9    \\\n",
       "hoster                  Mixcloud   \n",
       "id                  100583862818   \n",
       "length                        -1   \n",
       "parsed_date  2014-10-21 15:51:24   \n",
       "tags                          []   \n",
       "\n",
       "                                   ...                          \\\n",
       "hoster                             ...                           \n",
       "id                                 ...                           \n",
       "length                             ...                           \n",
       "parsed_date                        ...                           \n",
       "tags                               ...                           \n",
       "\n",
       "                                                           990  \\\n",
       "hoster                                              Soundcloud   \n",
       "id                                                 99400241778   \n",
       "length                                                      -1   \n",
       "parsed_date                                2014-10-07 15:22:18   \n",
       "tags         [SoundCloud, Defected Records, House, Mix, Pod...   \n",
       "\n",
       "                                                      991  \\\n",
       "hoster                                         Soundcloud   \n",
       "id                                            99404567273   \n",
       "length                                                 -1   \n",
       "parsed_date                           2014-10-07 16:50:02   \n",
       "tags         [SoundCloud, Monstercat, Dance, Podcast, 29]   \n",
       "\n",
       "                                                     992  \\\n",
       "hoster                                        Soundcloud   \n",
       "id                                           99495483143   \n",
       "length                                                -1   \n",
       "parsed_date                          2014-10-08 19:10:07   \n",
       "tags         [SoundCloud, Treasure Fingers, house music]   \n",
       "\n",
       "                                                           993  \\\n",
       "hoster                                              Soundcloud   \n",
       "id                                                 99728761583   \n",
       "length                                                      -1   \n",
       "parsed_date                                2014-10-11 16:42:52   \n",
       "tags         [SoundCloud, FELIX CARTAL, Dance, EDM, Electro...   \n",
       "\n",
       "                             994                  995                  996  \\\n",
       "hoster                  Mixcloud             Mixcloud             Mixcloud   \n",
       "id                   99894161353          99898600783          99900686483   \n",
       "length                        -1                   -1                   -1   \n",
       "parsed_date  2014-10-13 10:48:20  2014-10-13 13:19:00  2014-10-13 14:16:42   \n",
       "tags                          []                   []                   []   \n",
       "\n",
       "                             997                  998  \\\n",
       "hoster                  Mixcloud             Mixcloud   \n",
       "id                   99906470168          99982590908   \n",
       "length                        -1                   -1   \n",
       "parsed_date  2014-10-13 16:18:13  2014-10-14 10:47:55   \n",
       "tags                          []                   []   \n",
       "\n",
       "                                                           999  \n",
       "hoster                                              Soundcloud  \n",
       "id                                                 99995935768  \n",
       "length                                                      -1  \n",
       "parsed_date                                2014-10-14 16:40:23  \n",
       "tags         [SoundCloud, Defected Records, Defected, ITH, ...  \n",
       "\n",
       "[5 rows x 1000 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(parsedSoup)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>hoster</th>\n",
       "      <th>id</th>\n",
       "      <th>length</th>\n",
       "      <th>parsed_date</th>\n",
       "      <th>tags</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parsed_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-10-15 08:34:15</th>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>100061604933</td>\n",
       "      <td>-1</td>\n",
       "      <td>2014-10-15 08:34:15</td>\n",
       "      <td>[SoundCloud, FELIX CARTAL, Dance, EDM, Electro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-10-15 11:17:13</th>\n",
       "      <td>Mixcloud</td>\n",
       "      <td>100066569953</td>\n",
       "      <td>-1</td>\n",
       "      <td>2014-10-15 11:17:13</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-10-15 15:46:38</th>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>100076151638</td>\n",
       "      <td>-1</td>\n",
       "      <td>2014-10-15 15:46:38</td>\n",
       "      <td>[SoundCloud, Monstercat, Dance, Podcast, MCP030]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-10-15 16:46:31</th>\n",
       "      <td>Mixcloud</td>\n",
       "      <td>100079130078</td>\n",
       "      <td>-1</td>\n",
       "      <td>2014-10-15 16:46:31</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-10-17 16:14:26</th>\n",
       "      <td>Soundcloud</td>\n",
       "      <td>100240138688</td>\n",
       "      <td>-1</td>\n",
       "      <td>2014-10-17 16:14:26</td>\n",
       "      <td>[SoundCloud, Treasure Fingers, house]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         hoster            id length          parsed_date  \\\n",
       "parsed_date                                                                 \n",
       "2014-10-15 08:34:15  Soundcloud  100061604933     -1  2014-10-15 08:34:15   \n",
       "2014-10-15 11:17:13    Mixcloud  100066569953     -1  2014-10-15 11:17:13   \n",
       "2014-10-15 15:46:38  Soundcloud  100076151638     -1  2014-10-15 15:46:38   \n",
       "2014-10-15 16:46:31    Mixcloud  100079130078     -1  2014-10-15 16:46:31   \n",
       "2014-10-17 16:14:26  Soundcloud  100240138688     -1  2014-10-17 16:14:26   \n",
       "\n",
       "                                                                  tags  \n",
       "parsed_date                                                             \n",
       "2014-10-15 08:34:15  [SoundCloud, FELIX CARTAL, Dance, EDM, Electro...  \n",
       "2014-10-15 11:17:13                                                 []  \n",
       "2014-10-15 15:46:38   [SoundCloud, Monstercat, Dance, Podcast, MCP030]  \n",
       "2014-10-15 16:46:31                                                 []  \n",
       "2014-10-17 16:14:26              [SoundCloud, Treasure Fingers, house]  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft = df.T\n",
    "dft.index = dft.parsed_date\n",
    "dft.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Distribution of Lengths"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Length Across All Hosters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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derQuiGEY2Gx9O2tVREREujI1uK1du5ZQKMTq1avZsmULZWVllJeXAxAOh1m5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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b5455c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg, ax = plt.subplots(figsize=(10,5))\n",
    "ax = sns.distplot(dft.length[dft.length >= 0], kde_kws={\"clip\": (0,150)}, norm_hist=True)\n",
    "ax.set_xlabel(\"Length of Set / Min\")\n",
    "ax.set_ylabel(\"Density\")\n",
    "fg.savefig(\"altm-length-of-set.svg\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BrYyIiIiI2vH7qNIVK1agvr4ec+bMwaOPPoqXXnop0LURERER0SX8Cm7vvPMOnnjiCRQV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\nZ42OJuyp2Y89tftwpKHSt1Y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9hj179mDatGnQaDQwm80YOXKk7zyig93l/XvppZdwww2t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\nUHATERERiQkFNxEREZGYUHATERERiYk3zufHGqj5REkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b8f4240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg, ax = plt.subplots(figsize=(10,5))\n",
    "ax = sns.distplot(dft.length[(dft.length >= 10) & (dft.length < 150)], kde_kws={\"clip\": (10,140)}, color=sns.color_palette()[1])\n",
    "# ax.set_xlim([0,150])\n",
    "ax.set_xlabel(\"Length of Set / Min\")\n",
    "ax.set_ylabel(\"Density\")\n",
    "fg.savefig(\"altm-length-of-set-zoom.svg\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Length per Hoster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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UVBoaGkhOTiYlJQWfz8e9997Ld7/7XSAUCOfMmcPy5cvJycnh6aefjmXVRXpN\nuMet20Ou6qETEUl43eqhe/bZZ/nKV75CVlbWWd3c4/HQ2NgYeW+aJrb2ne89Hg8+ny9S1tjYSHp6\nOgCHDh3irrvuYsaMGdx8880ATJs2LRIACwoKeOSRR7p8flZWWpfXJCK1S3Tx0i4tVjMAyWmpXdbp\nQHIywZqamNY9XtolnqhNolO7RKd2iU7t0rO6FehaWlqYMWMGubm5fO1rX2PatGk4u9F7MGHCBNau\nXUthYSGbN29m9OjRkbK8vDyqqqrwer243W4qKiqYNWsWx44dY9asWfzwhz9k8uTJkevvuOMOFixY\nwLhx49iwYQNjx47t8vnV1Q3d+XkJJSsrTe0SRTy1i/9wXeh/TaPLOpk2O6bfz9GjXgzD6PG6xFO7\nxAu1SXRql+jULtGpXTo734DbrUB31113cdddd7Fx40ZWr17N008/zeTJkykqKuKKK6447fcKCgpY\nv349xcXFAJSVlbF69Wqam5spKipi3rx5lJSUYFkWRUVFZGdns3jxYrxeL0uXLuWZZ57BMAyeffZZ\nSktLKS0txel0kpWVxUMPPXReP1wkXoWHUA1X94ZcsSxoawNHTKfEiohIHOv2vwGam5v55JNP2L9/\nPzabjYyMDBYvXszVV1/N/fffH/U7hmFQWlra4bMRI0ZEXufn55Ofn9+hfP78+cyfP7/TvcaMGcOK\nFSu6W12RPit88oPh6GagA0y/H7sCnYhIwurWvwHuv/9+3n33Xa677jq+9a1vMWnSJAD8fj9f+MIX\nThvoROTsWWexyjV8nmtopatWfYuIJKpuBbrPfe5zPPzwwx22CfH7/bhcLn7/+9/HrHIiichs34bE\n6OLoLwhtWwI6/ktEJNF1a9uSl19+uUOYM02TW265BeCsV76KyJlZ/rOcQ0foqDAREUlcZ+yhmzlz\nJu+99x4QmsMW+ZLDwQ033BDbmokkqPBGwbZu9NB1HHIVEZFEdcZA98tf/hKARx55hAULFlyQCokk\nOvMseujC8+w05CoiktjOGOjWrl3L9ddfz9ixY3nllVc6lX/1q1+NWcVEEtXZnhRx8ndERCQxnTHQ\nffTRR1x//fWRYddTKdCJ9DzrLBZFnLxtiYiIJK4zBrp77rkHCG0IHObz+Th06BCjRo2Kbc1EElQ4\nnHVr2xINuYqICGexynXevHnU1tZy8803c8899/DEE0/Eum4iCelshlxtjvCQq3roREQSWbcC3YoV\nK5g7dy63f2j9AAAgAElEQVSrV69m6tSp/O///i9/+tOfYl03kYRknVUPnbYtERGRbgY6gH79+vH2\n22+Tn5+Pw+GgtbU1lvUSSVhWsGMP3faqOsqWb+KF17YTCLZ1uPbEtiUKdCIiiaxbJ0WMHDmS2bNn\n88knn/C5z32Oe++9l3HjxsW6biIJKTyHznC6qPe18vSqj2huDbLzk3pcDhv/VDA6cu2JbUs05Coi\nksi6FegeffRRPvjgA0aNGoXL5eJrX/saU6ZMiXXdRBJSZA6dy0n5pk9obg1SdH0eb39wkLUfHODv\nPj+cjNRQkNMqVxERgW4GuqamJv72t7/x3nvvYVkWAJWVldx1110xrZxIIgrPoTMcTt796xGSk+xM\nmzgMp93Gr8t38peth/nSZy4NXaN96EREhG7Oobv33nt59913MU0z1vURSXhmezg76A1wrL6FcZdl\n4nTY+cwVgwD4cHdN5FqdFCEiItDNHrpjx47x/PPPx7ouIkJ7OLPb2bK7FoCrRg4EID3VRU62h52f\n1OMPtOFy2k/qodOQq4hIIutWD90VV1zB9u3bY10XESE05GpzOvnr3loM4FOXZUbKrhzen2Cbyc5P\n6oETq1w1h05EJLF1q4du586dfO1rXyMzM5OkpCQsy8IwDN58881Y108k4ZgBP4bTxd7DDVySmYIn\n+cQGw2OHD+D19/azraqOsSMGRPah05CriEhi61ag+8lPfhLreohIO8sfwLQ7aPG3cdng9A5llw0J\nvd972AuATYsiRESEbg65Dh06lPfff5+XXnqJ/v37U1FRwdChQ2NdN5GEZAX8BAw7ACOGdAx0KW4n\n2f2SqTrcEOop15CriIjQzUD37//+77z99tv88Y9/JBgMsmrVKpYsWRLruokkJCsQoNUK/WmOOKWH\nDuDSS9JobAlSU9+CYbeD3a4eOhGRBNetQPfOO+/wox/9iKSkJNLT03nuuedYt25drOsmkpDMQIBm\n08BmGAzL8nQqH35JGgBVRxqA0H51CnQiIomtW4HOZut4md/v7/SZiJw/q60N2tpobjMYNCAZp6Pz\n31nuKYHO5nJGNiMWEZHE1K1FEYWFhXznO9/B6/Xywgsv8Oqrr/LlL3+5y+9ZlsWiRYvYsWMHLpeL\nxYsXk5OTEylfs2YNS5cuxeFwcMstt1BUVEQwGOQHP/gBBw4cIBAIcOedd3LDDTewb98+HnjgAWw2\nG6NGjWLhwoXn/qtF4lR4P7lWy8aQgalRrxnW/vnBY01AaOsSM6geOhGRRNatbrb8/Hyuv/56+vXr\nx6ZNm7j33nu58847u/xeeXk5fr+flStXcv/991NWVhYpCwaDLFmyhBdeeIFly5bx4osvUltby+9+\n9zv69+/Pr371K37+85/z8MMPA1BWVsZ9993H8uXLMU2T8vLyc/zJIvHL9IeCWdBwMPQ0gS491UVK\nkoNDNY1A6MxX9dCJiCS2M/bQ1dTUcM8997Br1y5yc3NxOBz85S9/oaWlhQkTJpCe3nnC9sk2bdrE\nlClTABg/fjyVlZWRst27d5Obm4vHE5ojNHHiRCoqKrjpppsoLCwEwDRNHI5QFbdu3cqkSZMAuO66\n6/jzn//MtGnTzvFni8SncA9d0GaP9MSdyjAMBg9MYe+hBoJtJjankzbNoRMRSWhn7KF7+OGHmThx\nIu+88w4vvfQSL730En/+858ZM2YMjz76aJc39/l8pKWlRd47HI7IebCnlqWmptLQ0EBycjIpKSn4\nfD7uvfdevvvd7wKh4dtTrxW52IQXNwQM+2l76AAGZ6bSZlocrWvGcLq0KEJEJMGdsYdux44dPPnk\nkx0+czqd3HfffXzlK1/p8uYej4fGxsbIe9M0I4spPB4PPp8vUtbY2Bjp8Tt06BB33XUXM2bM4Oab\nbwbAbrdHvfZMsrLSurwmEaldoouHdvE1HAOgzeZg7OhsnA571OtGXTqAdz48RGPAJD01mZZgkIED\nUkLbmPSweGiXeKM2iU7tEp3aJTq1S886Y6BLSkqK+rlhGN1a5TphwgTWrl1LYWEhmzdvZvTo0ZGy\nvLw8qqqq8Hq9uN1uKioqmDVrFseOHWPWrFn88Ic/ZPLkyZHrr7jiCioqKrjmmmtYt25dh7LTqa5W\nL96psrLS1C5RxEu7NB89DoAjycXxuqbTXpfuDgW37R8f4+r2PeuOHqrDdpq/2XMVL+0ST9Qm0ald\nolO7RKd26ex8A+4ZA51hGOdUFlZQUMD69espLi4GQgsbVq9eTXNzM0VFRcybN4+SkhIsy6KoqIjs\n7GwWL16M1+tl6dKlPPPMMxiGwbPPPsvcuXN58MEHCQQC5OXlRebZiVxM/E0tALhT3Ge87pIBKQAc\nrWvGdvJ5rj0c6EREpG84Y6DbuXMnU6dO7fS5ZVlUV1d3eXPDMCgtLe3w2YgRIyKv8/Pzyc/P71A+\nf/585s+f3+lew4cPZ9myZV0+U6QvO348NA0h2ZN8xusyM9wYBhw93tzh+K+eH3AVEZG+4IyB7vXX\nX79Q9RARoP54I24gpYtA57DbyEx3hwKdJ9xDp61LREQS1RkD3dChQy9UPUQE8HqbcAOetJQur83q\nl8y2qjqsfqE/Y610FRFJXDq/SySO+LyhhRDpGaffsiQsq1+oF6/ZDP0ZhzclFhGRxKNAJxJHmnzd\nD3TZ/UOBrqk9x2nIVUQkcSnQicSRZl9olWtSF6tcAbLbe+h8wdB7BToRkcSlQCcSJ9pME39LKNDZ\nXK4urw8PuTYEQqeoaA6diEjiUqATiRM13lZsbaHuNsPp7PL68JBrfWso0GkOnYhI4lKgE4kTNfUt\nOK02oHs9dMlJDjzJTo63hM5H1pCriEjiUqATiRO13hacVnsPnat7Jz5k90/meIuGXEVEEp0CnUic\nqPW24DRDgc6W1HUPHcDADDd+wtuWqIdORCRRKdCJxIkab+tZ99BlprsJGqEDv9RDJyKSuBToROJE\nrbcFh9n9OXQQOtNVgU5ERBToROJEjbcFN21gt2M4zngqX0RmupuA0X70l4ZcRUQSlgKdSBywLIva\nhlbcRlu3e+cg1EPX1t5DZ6qHTkQkYSnQicSBptYgrf42XLRhJHVv/hy099DZ2odc/a2xqp6IiMQ5\nBTqROFBTHzohwmkFsXVzQQSE9qJzJoeOCTNbFehERBKVAp1IHKj1hsKYvS3Y7S1LwjwZHkCBTkQk\nkSnQicSBGm/7Ga7BQLe3LAnr1y8U6IItCnQiIomqe0vpRCSmar0t2CwTwzy7RREAmf2S8RsOjKbm\nGNVORETinQKdSByobWiNnBJxNosiILwwwoFdPXQiIglLQ64icaDG20ISZ7epcNjAjNBedFrlKiKS\nuBToROJArbeFzGQD6P6xX2GZGaEeOrSxsIhIwlKgE+llbaZJXUMrmSmhP8eznkOX7g7NoQsq0ImI\nJKqYBjrLsli4cCHFxcXMnDmT/fv3dyhfs2YNt956K8XFxbz88ssdyrZs2cJtt90Web9t2zauu+46\nZs6cycyZM3nttddiWXWRC+Z4gx/LggHu0J/j2c6hS0txErQ7sZttWKYZiyqKiEici+miiPLycvx+\nPytXrmTLli2UlZWxdOlSAILBIEuWLGHVqlUkJSUxffp0pk6dyoABA3j22Wd59dVXSU1NjdyrsrKS\nkpISbr/99lhWWeSCq20IbVnSL+nceugMw8BwuaAptBedPTm5x+soIiLxLaY9dJs2bWLKlCkAjB8/\nnsrKykjZ7t27yc3NxePx4HQ6mThxIhUVFQDk5ubyzDPPdLjX1q1beeutt5gxYwbz58+nqakpllUX\nuWDCe9BluCwAbGfZQwdgb/9OS0Njz1VMRET6jJgGOp/PR1paWuS9w+HAbB8SOrUsNTWVhoYGAAoK\nCrDb7R3uNX78eObMmcPy5cvJycnh6aefjmXVRS6Y8CkRHmfovXGWPXQAjvbjv47XNfRYvUREpO+I\n6ZCrx+OhsfFEj4FpmthstkiZz+eLlDU2NpKenn7ae02bNi0SAAsKCnjkkUe6fH5WVlqX1yQitUt0\nvdUuTf7QdiXZ6U7qgYyBGWddl5T00PSEoD/Q479D/7x0pjaJTu0SndolOrVLz4ppoJswYQJr166l\nsLCQzZs3M3r06EhZXl4eVVVVeL1e3G43FRUVzJo1q8P3LcuKvL7jjjtYsGAB48aNY8OGDYwdO7bL\n51dXq7fiVFlZaWqXKHqzXQ4cCT3XaAkNvfpaTYyzrEt4yPXAJ8fI7cHfoX9eOlObRKd2iU7tEp3a\npbPzDbgxDXQFBQWsX7+e4uJiAMrKyli9ejXNzc0UFRUxb948SkpKsCyLoqIisrOzO3zfMIzI69LS\nUkpLS3E6nWRlZfHQQw/FsuoiF0xtQytulx17+0kR5zKHLtmTAkDDcV8XV4qIyMUopoHOMAxKS0s7\nfDZixIjI6/z8fPLz86N+d+jQoaxcuTLyfsyYMaxYsSIm9RTpTbXeFjLT3Vj+GuDsNxYGSE1LoQlo\n9GpRhIhIItLGwiK9qLk1SGNLkAHpbqzW0OKIs922BCA1IzSHrqlBq79FRBKRAp1IL6ptCIW4AelJ\nmO1Hd51LD53dHVrl2trY3HOVExGRPkOBTqQX1bbvQTcg3Y3pb++hSzr7HjpbUijQBZpbCLbptAgR\nkUSjQCfSi8KbCmemJ5005Hr2PXThhRQOM8jx9l4/ERFJHAp0Ir0ovKlwZrobsz3QGe3Dp2cjvBmx\nywxwrL6l5yooIiJ9ggKdSC/qMOTa0gJ2O4bj7Befh3vonFYw0usnIiKJQ4FOpBfVelswgP5pSZgt\nLdiS3B32X+wuIxzozCA16qETEUk4CnQivajG20K6x4XDbsNsacZ2DsOtcGLendMKckw9dCIiCUeB\nTqSXmJZFrbeVzPRQiDNbW8890KmHTkQkoSnQifSShkY/babFgLRQGLNaWrC5z36FK7QvijAMko02\nzaETEUlACnQivSQ8NJqZ4cYKBrGCQWxJyed0L8Nmw+Z2k0KQWm8LpmX1ZFVFRCTOKdCJ9JLw0Ghm\neIUrnPOQa+i7ySRZAYJtFt5Gf4/UUURE+gYFOpFeUnNSD53Z2gOBLtmNsy0Qurfm0YmIJBQFOpFe\nUlt/0qbC7T10xjnOoYNQD50jELqn5tGJiCQWBTqRXtKhhy485Jp0Pj10yRhmG3arTadFiIgkGAU6\nkV5yrL4Ft8tOSpKjh+bQhb7rMgMachURSTAKdCK9pMbbQmZ66GQIs6UZCA2bnitbcui7SWZAQ64i\nIglGgU6kFzS1BGluDZKZ0b6pcEto7tu57kMX+m4o0KXb29RDJyKSYBToRHpBrffEliVAD61yDQW6\ngW6DY94WLO1FJyKSMBToRHrByZsKQ+iUCOiZOXSZSRat/jYaW4LnWUsREekrFOhEekF4SHRAemiI\n9cQq1/OfQ9fPZXV4hoiIXPwU6ER6QXjIdWB6KISdWBRx7nPo7OE5dA4T0F50IiKJRIFOpBfUnDLk\n2tbcHuhSUs/5nuEeOo8tFOi0F52ISOKIaaCzLIuFCxdSXFzMzJkz2b9/f4fyNWvWcOutt1JcXMzL\nL7/coWzLli3cdtttkff79u3jn/7pn5gxYwalpaWxrLZIzNXUt2C3GWR4XACYTU0A2FJSzvme4VWu\nqUYbAMeON59nLUVEpK+IaaArLy/H7/ezcuVK7r//fsrKyiJlwWCQJUuW8MILL7Bs2TJefPFFamtr\nAXj22WdZsGABgUAgcn1ZWRn33Xcfy5cvxzRNysvLY1l1kZg65m2hf1oSNsMA2gOdYWBLOp9tS0K9\nfcmE/m6OKtCJiCSMmAa6TZs2MWXKFADGjx9PZWVlpGz37t3k5ubi8XhwOp1MnDiRiooKAHJzc3nm\nmWc63Gvr1q1MmjQJgOuuu44NGzbEsuoiMRMImtT7/AzMOLGita2pKXR0l+3c/yRtKaEeOpu/hVS3\ng6N1CnQiIokipoHO5/ORlpYWee9wODBNM2pZamoqDQ0NABQUFGC3209735OvFelrahs67kEHYDY3\nnddwK4A9NTT/zmxqIrt/CtXHmzFN7UUnIpIIHLG8ucfjobGxMfLeNE1s7T0QHo8Hn88XKWtsbCQ9\nPf2097Kd1HPR1bVhWVlpXV6TiNQu0V2odtlfG+o5yx3aL/LM3S0tuAcNOq86WJaH3XY7ttYWci5J\nY88hL4bTQdaA8wuK+uelM7VJdGqX6NQu0aldelZMA92ECRNYu3YthYWFbN68mdGjR0fK8vLyqKqq\nwuv14na7qaioYNasWR2+f/JO91dccQUVFRVcc801rFu3jsmTJ3f5/Opq9eKdKisrTe0SxYVsl117\nawBIddqorm7AMk3ampowXUnnXQdbSiot9fVkJDsB2La7GqNtwDnfT/+8dKY2iU7tEp3aJTq1S2fn\nG3BjGugKCgpYv349xcXFQGhhw+rVq2lubqaoqIh58+ZRUlKCZVkUFRWRnZ3d4ftG+4RxgLlz5/Lg\ngw8SCATIy8ujsLAwllUXiZnq46Eh16z+7XvQRbYsOb+eNABbagpmYxPZ7fc+WtfMlcPP+7YiIhLn\nYhroDMPotMXIiBEjIq/z8/PJz8+P+t2hQ4eycuXKyPvhw4ezbNmymNRT5EIKrz7N6tce6Nq3LLEn\nn3+gs6d6CFRXk9XP3eFZIiJycdPGwiIXWPXxZpKcdtJTQsOibc3hPejO/divMHtqKrS1kZUSWlSk\nla4iIolBgU7kArIsi+rjzWT1c0emFEQ2Fe6BHjpb+0rXVKuVJJddgU5EJEEo0IlcQA3NAVr8bZHh\nVghtWQJg74E5dB22LumXzNHjTR0WF4mIyMVJgU7kAqo+Zf4chDYVhp5ZFGFP9QBgNjaS3T8Zf8Ck\nvtF/3vcVEZH4pkAncgFV13UOdLEYcm1rD3SgeXQiIolAgU7kAoraQ9cY2mDb7vGc9/3Dw7ZtjY1k\n91OgExFJFAp0IhdQOFyFe88A2tqPsbN7zn/X9BNDrj4G9Q+FuyN1Ted9XxERiW8KdCIX0OHaJuw2\ng4EZJ85xbWs/As+e1gM9dO29fG0NDQweGBp+PXis8UxfERGRi4ACncgFYlkWh2qayOqXjMN+4k+v\nraEBDCPSu3Y+7OkZAAS9XtJTnKS6HRysUQ+diMjFToFO5AJpaArQ1BpkcGbHxQ9tvgZsqakYtvP/\nc7Snp4fu6a3HMAyGDEzlaF0TgaB53vcWEZH4pUAncoEcqgkNfV5yaqBr8PXIgggAm9OJLSWVoNcL\nwODMVCwLjtSql05E5GKmQCdygRxuD1WXDDgR6CzTpK3R1yMLIsIc6em01dcDMCQ8j65G8+hERC5m\nCnQiF8ih9rlsgzNTI5+ZTU1gmtjTei7Q2TMyaPM1YAWDDBkYCo9aGCEicnFToBO5QKL10EVWuPbQ\nkCuAIyOj/d4NDMkM99BpyFVE5GKmQCdygRyuaSItxYkn2Rn5rCf3oAsLL4wI1tfTPy0Jt8vOIfXQ\niYhc1By9XQGRvqi1zc9B32Fqmms41lJHTXMtXn8DTcEmGgPNNAWbCLQFMTExrdD/tY0Eu+Vgwfo/\nkWR3kepMYcQnLYwFdgeOsO/IFi5JzSY7eSBOu7PLOpyOI7x1SX097vaVrlWHGwi2mR22SxERkYuH\nAp1IFyzL4mjzMXbU7mR3/V72NxzkaFM1Flana22GjRRHMimOZNJdTuyGDcOwEQhYfFLtxZUaClQN\nAR9HmqpJPtzEWOC9xr+xY+s+AAwMMpMHkJs2jOEZlzI8/VJyPEO6HfLs4SFXb2hhxKXZHj4+6OXg\nsUYuHdRzPYEiIhI/FOhEojAtk511H/P+0S1U1mzneGt9pMxtdzOy3wiGeYYwMCWTge4BZCYPoF9S\nOm67G8MwOt1v/UeH+MXb2yi6cTQ3TBgWecahuhdp5HVu+NRNfGqIhyONRznSVM3BxsNsOrqFTUe3\nAOCwORjV7zKuGDCaKzMv55KU7KjPAXAOyAQgUFMDEAlxVYcbFOhERC5SCnQiJznadIw/HdhAxZEP\naPCHFiykOlOYkP1pxvQfxaj+lzEwORObcXZDl/uPhu6Vk31i8YPNsGFvCC1WGJ17FZ+6ZHCkzLIs\nalpq2VO/jz3efeys28222r+xrfZvrNq1mkz3ACZkf5qJg65imGdwh3DnyBwIQLDmGAC5l4RC3L4j\nvrNtDhER6SMU6CThWZbFh4e38T8f/R/bav8GgMeZyheGfJaJg8Yzst9lZx3gThUOdMOyOq5mDR4/\nDoCjX/8OnxuGwcDkTAYmZ3LNJVcDcLy1nm21O9lWs4PKmm28se8t3tj3FtkpA/nMoIl8bsgk+iVl\n4BwwAAyDwLFj7c9MxWYYVB1pOK/fICIi8UuBThKWZVlsr9vJH/a8wcf1VQBcljGcLw79HFdlj8Nh\n65k/D8uy2H/UR3a/ZJKTOt4zWFeHLTkZm9vd5X36JWXwucGT+NzgSfjbAvy1Zjubjm7ho2PbWL3n\ndf6w9w3GZV7BtUM/S3L//pFA53TYGTwwhf1HfZimhc0WfahWRET6LgU6SUgHfYf5zc7fsaNuFwCT\nhnyaG4Z8kdz0nB5/1nGfH19zgMtz+nUqCx6v69Q71x0uu5OrssdxVfY4WoItbDyymXcOvsuWY1vZ\ncmwrxc5mso+20OJvwu1KIXdQGgeqGzlS19RhY+Oe1vD+Jo6vKcdz9QT6Ty2I2XNERKQjBTpJKE2B\nZv6w5w3ePvBnTMvkygGX8/eXfYmJeVdQXR2bIcl97UOdJ8+fAzD9fszGRhyX5p7X/d0ON18YOpkv\nDJ3MPu8n/OnAXzie8iaDLIvH33iEq8dcR3bWcACqjjTELND5Dx/m0M+WQlsbzdu34RyQiefqCTF5\nloiIdBTTQGdZFosWLWLHjh24XC4WL15MTs6JHpA1a9awdOlSHA4Ht9xyC0VFRaf9zrZt25g9ezbD\nhw8HYPr06dx0002xrL5cZCqPbePX2/+Her+XrORMbh31D3xq4BUxf25kQcSg7s2fOx+Xpg/jn9Nv\n5eCYIL49/0d6Yxv/V7UGu2HHmTuEbQf7MfnKS3rseSer+d9Xoa2NzK/+IzWv/pba11Yr0ImIXCAx\nDXTl5eX4/X5WrlzJli1bKCsrY+nSpQAEg0GWLFnCqlWrSEpKYvr06UydOpVNmzZF/U5lZSUlJSXc\nfvvtsayyXISag838Zuf/8pdDG7Ebdr484kam5ebj7KE5cl2pOhzqobs0u+OWIcHjdQA4+vdcoAvz\nDL0UHzBjwPVsuzyD8qq3OTZoPxutF0neUcWXcq+nv7vzEPC5Mlua8X2wCWf2IAb83d/T8vFuGj/c\nQuv+/STl9PwwtoiIdBTTf6Nt2rSJKVOmADB+/HgqKysjZbt37yY3NxdP+xmWkyZN4r333mPz5s0d\nvrN161YAtm7dyt69eykvLyc3N5f58+eTkpKCyJnsqa/iF5W/oq71ODmeIdx25TcY6hnc9Rd7iGVZ\n7DpYT4bHxYD0pA5lgeqjADgGDuzx5yYNDe1113bwMFOmFfL5wZ/hh7/9LbXJlfzpwAb+fPA9Pj/k\nMz0W7BorK7H8ftI+OxnDMEif/HkaP9yCb8sHCnQiIhdATM8B8vl8pKWd6JVwOByYphm1LCUlhYaG\nBhobGzt8brfbMU2T8ePHM2fOHJYvX05OTg5PP/10LKsufZxlWZTve5sfv/+fHG+t56bh0/j+pLsv\naJgDqGtopd7nJ29IRqeNgMOBzpWV3ePPdV4yGGw2Wg98AoDdZueqzKto/fAL3DDw7+jv7sefDmxg\n0YbH+J+d/4vPf35nvTbvCm33knLFlaH/vXIsGAaNlR+d3w8REZFuiWkPncfjobHxxL8oTNPEZrNF\nyny+ExudNjY2kpGRcdrvTJs2LRL0CgoKeOSRR7p8flaWdsWP5mJvF5+/kaXv/pKNBz+knzudeyaX\n8KlBl3f5vVi0y46DXgA+PSqr0/1rvaEh10FjRuCOwbMPDB2C/9BBBg70YBgGk8YO5rW/7CMtMJKn\nv3wTf6p6j5e3/p41+//EhsMVfGXMjdw8+gbcjo49id1pl4NVezAcDoZNGoc9KQmy0jh6+Wga/raT\n/skGDo+ny3v0JRf739C5UrtEp3aJTu3Ss2Ia6CZMmMDatWspLCxk8+bNjB49OlKWl5dHVVUVXq8X\nt9vNxo0bmTVrFkDU79xxxx0sWLCAcePGsWHDBsaOHdvl82O1arEvy8pKu6jb5aDvMD/98AVqWmq5\nvP9Ibh87nXRb1785Vu3ywbYjAAzKSOp0f9/+g2C347WSaIjBs+2DhtC2/xMO7diLM3MgWR4XAJt3\nHOHGiUMZ6/kUo68ZwzsH/sJre8tZ+dHv+MOOtdw8ooDPD74Gu83erXYxW1vxfbwHd24utV4/4AfA\nOWoMbN/B/nc/wPPpq3r89/WWi/1v6FypXaJTu0SndunsfANuTANdQUEB69evp7i4GICysjJWr15N\nc3MzRUVFzJs3j5KSEizL4tZbbyU7OzvqdwBKS0spLS3F6XSSlZXFQw89FMuqSx/00bG/8vzWX9Pa\n5qdw+FT+bkTBeZ/wcL6276vDYTcYMTi9w+eWZeE/cgTnwCwMW2zq6M4djm/je7Ts3o0zcyCeZCdD\ns1L5+KAXf6ANl9OO0+bg+pwvMHnwJN7c9zZv7lvHyh2rWLNvHX+fV8iNAz/f5XNa9u6BtjaS80Z1\n+Dx5ZOh9y65dF1WgExGJRzENdIZhUFpa2uGzESNGRF7n5+eTn5/f5XcAxowZw4oVK2JST+nbwvPl\nXt39Gg6bg5Kx/8zEQeN7u1r4mgPsP+Lj8kv74XLaO5S11ddjNjWScvmYmD0/ub13u2nnDtI+81kA\nPjViAK9X72f7vuN8Oi/zxLUON1++7EtMGfp5XttbzvqD7/KLyuW8c+jP/MOImxmefulpn9O8aycA\n7pEjO3zuHnEZGEakXEREYqd3uy9EzlOgLcAvt73IK7v/QEZSOvdN+FZchDmAHfuOYwFjLu28LUl4\nsVFAw6kAACAASURBVIJr6NCYPd+dOxzD5aL5b3+LfDY+L7Si9sPdx6J+JyMpjeLLv8aDn72fq7I+\nxY6aj/nRxp/w/NZfU9tSF/U7LbtDp22c2kNnT0nBNXQYLXv3YAWDPfGTRETkNHRShPRZXn8D//Xh\nf7PHu4/c9Bxmj/t/ZCSld/3FC2RbVS0AY3I7Bzr/gQPAie1FYsFwOHBflkfz9m0EvV4c6emMHJZB\ncpKDD3fXYFlWp5W3YdkpWXxz3EyqrcP8YuOLbDyymS3VlUzNuY6C3OsjCycs06R51y6cA7Nw9Ou8\n/UnyyFH4P9lPy759JF92Wcx+q4hIolMPnfRJhxqP8O8bf8Ie7z4mDbqK71x9Z1yFOcuy2LLrGMlJ\nDi4b0rlerfv3AbHtoQNIHfdpAHyb3wfAYbfxqREDOFbfwsFjXW9VcmX2KOZMupvbrvg6KY4U/q9q\nDaV/eZw/H3wP0zLxHz6M2dRI86AcfrTiA77947e5+8l1/OcrlXxS7SM5Lw+Alo93x+5HioiIAp30\nPdtrd/Ifm56hpqWOm0cUcPuV03HZnb1drQ4+qW6kxtvKuMsG4LB3/jNr3rMbW3Iyrktiuy9e2oRJ\nAPg2bYx8Nn5kaO7cBzujD7ueymbYmDx4Egs/N4ebh0+jOdjCr7b/hscqnuLjze8A8OZRJ9uq6uif\nlkRykoP/396dx0Vd7Y8ff31mhplhkWEVBMx9BRWFyj1bNLdSUTNL6/r11kPL1mvmdsseV7PF6nqv\netN7616zumWKml0z9WcuqImSrCqVuCAg+zbDNsv5/YGMC4OaMiJwno8HAp/zWc7nzXzwzTlzzjly\nModFnx4hoaJ61FZF2m/1eVuSJEnSVWSXq9SoHMyM5b+p0ahQeLr749wTeGeuFRr/ay4A4R1rrwJh\nNRoxX7iAW7dQp41wreHi74+ubTvKThzHXFiIi7c34R390KhVHEq5wKh+bersdr2aTq1lVPthDAi+\nl29PbefwhThOxp8kFDC3aclfxt9DsL8HQgiS0vL55H8n+PdPubymd6NcttBJkiQ5lWyhkxoFm7Cx\n5dT3fHFyA65qPS/0fvaOTeaEEBw+kYNGrVwxkrSGfVToxe5IZzMMug9sNor3/giAm96F8E5+ZOWX\ncTb7988D5aUzMKXbY7Q3jqRVtpVKF4UznWI5VLSbMnMZiqLQs4Mf86dG4Omh47TKB0teHpbiovq+\nNUmSJOkimdBJd7wqq5lPU75kx9kfaenqx+zI5+no1e76BzaQ9BwjmXkmenX0w01fuyvYlFK9HJZb\n9+tPjl0fPPv2Q+XmRvGeH7FVlAPQPywQgL3xmTd1zo17T5GWVIaPyYy6zV14uXrzY3oMiw69x570\nA1htVgK83XhpQk+y3PwByE9JrZ8bkiRJkmqRCZ10RyutMrL82GqO5STS0asdf4p8npYXE4Q7VUxS\nFgD9QgNrlQkhMCUlonJ1xbVDx1rlzqDS6fAeNhyrsZTCHT8A0LO9L/5eeg4mX6C0rOp3nW9vfAbf\n/3SOUE31smYBoX34c9/ZjO0wEquw8c2vW1gS+yFJecdpG9iCzn2rJxWO2x2LEKJ+b06SJEkCZEIn\n3cHSSzN57+jfOVNyjrsD+jAr/Bk8XNwbulrXVF5p4UBSFgZ3rcPu1oq0U1jy8nDvGY6iVjs4g3N4\nPzQMdQtPCn74HnNBPiqVwoMRrTFbbOw8ev6Gz5Ocls+6H37Bw9WFUSE2APQdOuKi0jC0zRAW9ZvD\nwOC+5JTl8XHif1gR/y/aDrgLgYLuQjqxJ3KcdYuSJEnNmkzopDtSXHY8H8StpKCikNHthvF090m4\nqO78MTwxSVmUV1q5v0+ww9Gtxfv3AuDZ7/pLatUnlV6P3/iJiMpKcj7/DCEE9/UKwuCuZceRcxQZ\nK697jnPZpazanIxKpfDi+J6ozp8BRblifrkWWg8md4li/j2v0M2nMycLf+XdpI8x+XkQWJnP17tS\nKaswO/FOJUmSmieZ0El3lJrBD5+mfIlKUXi2x9OMaPfQDY/EbEiVZivbDp1F56JmSO/a88uZ8/Mp\nOXQQl4DA2/b+uct5DhiIa9dumBITKD1yGJ1WzZiB7agy2/hy5y/X7A7NKSrno/UJVFZZ+ePobrQP\ncKXidBq61neh0rvW2j/II5Dne01nZs9ptHTz57SXGRdhxV31M+v3yPfSSZIk1TeZ0El3DJO5jI8T\n/8OOsz/i7+rLa5Ev0MvfuYlPZcZ5ig/EUJ5xc4MDLvdD7DmKTVUMvbs1nm7aK8qEEOT893OwWvEd\n/YjTpytxRFEUAqb+AUWrJefzzzDn5zO4VxCdQgwcTc1lTx0DJDLyTLz/5c8Um6p4Ymhn7ukWQEVa\nGsJiwbVzl2teL8yvGwvueYXWodVryYZofuOw+Ib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a6pzM/osdv/DjsQynnLsxCinP5smM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\nJEmSJDVyMqGTJEmSJElq5P4/iv1CNapwu50AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bae9208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg, ax = plt.subplots(figsize=(10,5))\n",
    "ax = dft.groupby(\"hoster\").length.plot(kind=\"kde\", legend=True)\n",
    "ax[0].set_xlabel(\"Length of Set / Min\")\n",
    "fg.savefig(\"altm-length-of-set-hoster.svg\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# dft[\"Year\"] = dft.index.year\n",
    "# dft[\"Month\"] = dft.index.month\n",
    "# dft[\"Day\"] = dft.index.day\n",
    "\n",
    "# daily = dft.groupby(by=[\"Year\", \"Month\", \"Day\"])\n",
    "# days = daily.apply(lambda r: pd.datetime.strptime(\"{}-{}-{}\".format(r.iloc[0].Year, r.iloc[0].Month, r.iloc[0].Day), \"%Y-%m-%d\"))\n",
    "# time_wasted = daily[\"length\"]\n",
    "# cnts = daily.apply(lambda df: df.length.count())\n",
    "# ax = time_wasted.plot()\n",
    "# cnts.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Frequency per {Day, Week, Month}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>length</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parsed_date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-11-02</th>\n",
       "      <td>1185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-09</th>\n",
       "      <td>626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-16</th>\n",
       "      <td>874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-23</th>\n",
       "      <td>777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-11-30</th>\n",
       "      <td>902</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             length\n",
       "parsed_date        \n",
       "2014-11-02     1185\n",
       "2014-11-09      626\n",
       "2014-11-16      874\n",
       "2014-11-23      777\n",
       "2014-11-30      902"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Strings, see http://pandas.pydata.org/pandas-docs/stable/timeseries.html#dateoffset-objects\n",
    "dft_length = pd.DataFrame(dft.length[dft.length > 0])\n",
    "dft_1d = dft_length.resample(\"1D\").sum()\n",
    "dft_1w = dft_length.resample(\"1W\").sum()\n",
    "dft_1m = dft_length.resample(\"1M\").sum()\n",
    "dft_1w.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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XmnNkZh1t8BrUUXprEARRongKZYODg5g/fz6mT58u1KN8/PHHA+3YaCeu0AaNPkQzJTOf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Uo5YBWVz4WVVmmdSNpKaA7AXZyzLFfM73/kZNcyWh2XU1uvuQ4m9LFe5Nyt4lAhxXLKivk7Cm8Q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\nwwwDWChjGIZhGIYZBvx/hqFpn6X3nREAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bd82e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg, ax = plt.subplots(figsize=(10,5))\n",
    "dft_1d.plot(marker=\"o\", ms=5, clip_on=False, legend=False, ax=ax)\n",
    "ax.set_xlabel(\"Date\")\n",
    "ax.set_ylabel(\"Length per Day / Min\")\n",
    "fg.savefig(\"altm-length-per-day-1d.svg\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CAwCQIX97oWWbXqlDkAvCG/TmeimEEELyjGiw9pOf/AQulwuHDx+GXC7HmTNn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\nULFGEARBEAShYahYIwiCIAiC0DD/H9KsSV2rQMRxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11bece048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg, ax = plt.subplots(figsize=(10,5))\n",
    "dft_1w.plot(marker=\"o\", ms=5, clip_on=False, legend=False, ax=ax, color=sns.color_palette()[1])\n",
    "ax.set_xlabel(\"Date\")\n",
    "ax.set_ylabel(\"Length per Week / Min\")\n",
    "fg.savefig(\"altm-length-per-day-1w.svg\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8drDWcUQDWFJ74tixHUdONqbrrtc6jhBCCD+pcwxcr169+PLLL/H5fIHIIzRU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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c0a45c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg, ax = plt.subplots(figsize=(10,5))\n",
    "dft_1m.plot(marker=\"o\", ms=5, clip_on=False, legend=False, ax=ax, color=sns.color_palette()[2])\n",
    "ax.set_xlabel(\"Date\")\n",
    "ax.set_ylabel(\"Length per Month / Min\")\n",
    "fg.savefig(\"altm-length-per-day-1m.svg\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Length per Hour of a Day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dft_perHour = pd.DataFrame()\n",
    "dft_perHour[\"Hour\"] = dft_length.index.hour\n",
    "dft_perHour[\"Time\"] = dft_length.length.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Frequency of Mixes per Hour of a Day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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j6gAAADrDNgHNMAwtXrxYBw8eVFZWlu677z716dOn3cf/tTYiI8Pcma5oU5tO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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c0857f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg, ax = plt.subplots(figsize=(10,5))\n",
    "ax = sns.distplot(dft_perHour.Hour, kde=False, bins=np.arange(24))\n",
    "ax.set_xlabel(\"Hour of the Day\")\n",
    "ax.set_ylabel(\"Number of Mixes\")\n",
    "fg.savefig(\"altm-hourly-number-of-mixes.svg\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Length per Hour of a Day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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UFG3ZskV79uxRYmKi7Ha7nE6nYmNjVVVVpcrKSqWkpHi33bp168XvIQAAQBfj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\nlJycbGq9s379619rypQpion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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b6db320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg, ax = plt.subplots(figsize=(10,5))\n",
    "aggr = dft_perHour.groupby(\"Hour\", as_index=False).sum()\n",
    "ax = sns.barplot(data = aggr, x=\"Hour\", y=\"Time\", color=sns.color_palette()[0], alpha=0.5)\n",
    "# axis = sns.barplot(data=aggr, x=\"Hour\", y=\"Time\")\n",
    "ax.set_xlabel(\"Hour of the Day\")\n",
    "ax.set_ylabel(\"Length of Mixes / Min\")\n",
    "fg.savefig(\"altm-hourly-length-of-mixes.svg\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Single Values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Longest Entry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>hoster</th>\n",
       "      <th>id</th>\n",
       "      <th>length</th>\n",
       "      <th>parsed_date</th>\n",
       "      <th>tags</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parsed_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-02-02 16:30:17</th>\n",
       "      <td>Mixcloud</td>\n",
       "      <td>138546231718</td>\n",
       "      <td>355</td>\n",
       "      <td>2016-02-02 16:30:17</td>\n",
       "      <td>[mrscruff, mr scruff, house, funk, djset, dj s...</td>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       hoster            id length          parsed_date  \\\n",
       "parsed_date                                                               \n",
       "2016-02-02 16:30:17  Mixcloud  138546231718    355  2016-02-02 16:30:17   \n",
       "\n",
       "                                                                  tags  Year  \\\n",
       "parsed_date                                                                    \n",
       "2016-02-02 16:30:17  [mrscruff, mr scruff, house, funk, djset, dj s...  2016   \n",
       "\n",
       "                     Month  Day  \n",
       "parsed_date                      \n",
       "2016-02-02 16:30:17      2    2  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft[dft.length == dft.length.max()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Total Length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total length: 63941 min\n",
      "Total length: 1065.6833333333334 h\n",
      "Total length: 44.40347222222223 day\n"
     ]
    }
   ],
   "source": [
    "print(\"Total length: {} min\".format(dft_1d.length.sum()))\n",
    "print(\"Total length: {} h\".format(dft_1d.length.sum() / 60))\n",
    "print(\"Total length: {} day\".format(dft_1d.length.sum() / 60 / 24))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hoster\n",
       "Mixcloud      13174\n",
       "Other           220\n",
       "Soundcloud    50505\n",
       "Name: length, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft.groupby(\"hoster\").length.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(60.0, 63.899000000000001)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft.length.median(), dft.length.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>id</th>\n",
       "      <th>length</th>\n",
       "      <th>parsed_date</th>\n",
       "      <th>tags</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hoster</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mixcloud</th>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Soundcloud</th>\n",
       "      <td>790</td>\n",
       "      <td>790</td>\n",
       "      <td>790</td>\n",
       "      <td>790</td>\n",
       "      <td>790</td>\n",
       "      <td>790</td>\n",
       "      <td>790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             id  length  parsed_date  tags  Year  Month  Day\n",
       "hoster                                                      \n",
       "Mixcloud    205     205          205   205   205    205  205\n",
       "Other         5       5            5     5     5      5    5\n",
       "Soundcloud  790     790          790   790   790    790  790"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft.groupby(\"hoster\").count()"
   ]
  }
 ],
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