2019-01-01-tidytues-tweets.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tidytuesday Tweets\n",
    "\n",
    "* [Dave Robinson's analysis](https://github.com/dgrtwo/data-screencasts/blob/master/tidytuesday-tweets.Rmd)\n",
    "\n",
    "Takeaways:\n",
    "\n",
    "* qgrid does not like when a dataframe has columns containing lists\n",
    "* need efficient categorical reordering...\n",
    "* `%whos DataFrame` is very handy!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from siuba import *\n",
    "\n",
    "from plotnine import *\n",
    "import plotnine as p\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "import rpy2.ipython\n",
    "%load_ext rpy2.ipython\n",
    "\n",
    "import rpy2.robjects as robjects\n",
    "\n",
    "import qgrid\n",
    "qgrid.set_defaults(grid_options = {\"forceFitColumns\": False})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load in Data\n",
    "\n",
    "I'm using rpy2 3.0, but its conversion to a pandas DataFrame doesn't seem to work, if\n",
    "it is a list column with a NULL entry.\n",
    "\n",
    "See [rtweet](https://rtweet.info/) for explanation of data.\n",
    "\n",
    "* row - a tweet\n",
    "* col - various measures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%R -o tt_tweets\n",
    "library(readr)\n",
    "\n",
    "tt_tweets <- read_rds(url(\"https://github.com/rfordatascience/tidytuesday/blob/master/data/2019/2019-01-01/tidytuesday_tweets.rds?raw=true\"))\n",
    "\n",
    "tt_tweets <- as.list(tt_tweets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "out = {}\n",
    "for k, col in tt_tweets.items():\n",
    "    out[k] = robjects.pandas2ri.rpy2py_listvector(col)\n",
    "\n",
    "df = pd.DataFrame(out)\n",
    "\n",
    "# to_datetime wants nanoseconds by default, but gets to the second...\n",
    "df[\"created_at\"] = pd.to_datetime(df.created_at, unit = \"s\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quick glimpse of raw data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>created_at</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>161366031</td>\n",
       "      <td>2018-12-19 05:41:40</td>\n",
       "      <td>[tidytuesday]</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>161366031</td>\n",
       "      <td>2018-12-12 05:43:24</td>\n",
       "      <td>[tidytuesday]</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>161366031</td>\n",
       "      <td>2018-12-17 02:15:24</td>\n",
       "      <td>[tidytuesday]</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3181988029</td>\n",
       "      <td>2018-12-19 01:12:56</td>\n",
       "      <td>[tidytuesday]</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>470648737</td>\n",
       "      <td>2018-12-19 00:32:07</td>\n",
       "      <td>[BeckyG, TidyTuesday]</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      user_id          created_at               hashtags  favorite_count  \\\n",
       "0   161366031 2018-12-19 05:41:40          [tidytuesday]               0   \n",
       "1   161366031 2018-12-12 05:43:24          [tidytuesday]               7   \n",
       "2   161366031 2018-12-17 02:15:24          [tidytuesday]               5   \n",
       "3  3181988029 2018-12-19 01:12:56          [tidytuesday]               2   \n",
       "4   470648737 2018-12-19 00:32:07  [BeckyG, TidyTuesday]               0   \n",
       "\n",
       "   retweet_count  \n",
       "0              0  \n",
       "1              1  \n",
       "2              1  \n",
       "3              0  \n",
       "4              0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[[\"user_id\", \"created_at\", \"hashtags\", \"favorite_count\", \"retweet_count\"]].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (314191147)>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(df, aes(\"created_at\", \"favorite_count\")) \\\n",
    "  + geom_point() \\\n",
    "  + theme(axis_text_x = element_text(angle=45, ha = \"right\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Weekly likes and retweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (317057863)>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# number of tweets per week\n",
    "# week floor: https://medium.com/jbennetcodes/dealing-with-datetimes-like-a-pro-in-pandas-b80d3d808a7f\n",
    "# plotnine them options: https://plotnine.readthedocs.io/en/stable/api.html#themeables\n",
    "\n",
    "# this allows these functions to be used in siu expressions\n",
    "from siuba.meta_hook.numpy import log, exp\n",
    "\n",
    "week_summary = (df\n",
    "  >> mutate(_, week = _.created_at.dt.to_period(\"W\").dt.start_time)\n",
    "  >> group_by(_, \"week\")\n",
    "  >> summarize(_,\n",
    "       n_tweets = _.shape[0],\n",
    "       # geometric means of vals + 1\n",
    "       avg_retweets = exp(log(_.retweet_count + 1).mean()),\n",
    "       avg_favorite = exp(log(_.favorite_count + 1).mean())\n",
    "     )\n",
    "  )\n",
    "\n",
    "(week_summary\n",
    "  >> pipe(_.melt(id_vars = \"week\"))\n",
    "  >> ggplot(aes(\"week\", \"value\"))\n",
    "   + geom_line()\n",
    "   + theme(axis_text_x = element_text(angle=45, ha = \"right\"))\n",
    "   + facet_wrap(\"~ variable\")\n",
    "   + labs(title = \"#Tidytuesday tweets by week\", y = \"Number tweets\", x = \"Week\")\n",
    "  )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>week</th>\n",
       "      <th>n_tweets</th>\n",
       "      <th>avg_retweets</th>\n",
       "      <th>avg_favorite</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-04-02</td>\n",
       "      <td>59</td>\n",
       "      <td>3.031357</td>\n",
       "      <td>8.497609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-04-09</td>\n",
       "      <td>67</td>\n",
       "      <td>2.380566</td>\n",
       "      <td>8.941072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-04-16</td>\n",
       "      <td>80</td>\n",
       "      <td>2.902267</td>\n",
       "      <td>8.455548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-04-23</td>\n",
       "      <td>81</td>\n",
       "      <td>2.597064</td>\n",
       "      <td>9.700304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-04-30</td>\n",
       "      <td>54</td>\n",
       "      <td>3.025615</td>\n",
       "      <td>10.170684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018-05-07</td>\n",
       "      <td>56</td>\n",
       "      <td>2.279093</td>\n",
       "      <td>7.733034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2018-05-14</td>\n",
       "      <td>56</td>\n",
       "      <td>1.658016</td>\n",
       "      <td>6.177933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2018-05-21</td>\n",
       "      <td>45</td>\n",
       "      <td>1.644790</td>\n",
       "      <td>4.820913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2018-05-28</td>\n",
       "      <td>39</td>\n",
       "      <td>2.363629</td>\n",
       "      <td>8.640204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-06-04</td>\n",
       "      <td>49</td>\n",
       "      <td>2.329797</td>\n",
       "      <td>8.551762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2018-06-11</td>\n",
       "      <td>36</td>\n",
       "      <td>2.144405</td>\n",
       "      <td>9.175525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2018-06-18</td>\n",
       "      <td>38</td>\n",
       "      <td>2.890632</td>\n",
       "      <td>10.124253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2018-06-25</td>\n",
       "      <td>44</td>\n",
       "      <td>2.416922</td>\n",
       "      <td>10.329332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2018-07-02</td>\n",
       "      <td>27</td>\n",
       "      <td>3.245094</td>\n",
       "      <td>13.222196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2018-07-09</td>\n",
       "      <td>38</td>\n",
       "      <td>2.790598</td>\n",
       "      <td>10.331971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2018-07-16</td>\n",
       "      <td>35</td>\n",
       "      <td>2.531716</td>\n",
       "      <td>7.074385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2018-07-23</td>\n",
       "      <td>7</td>\n",
       "      <td>2.068450</td>\n",
       "      <td>4.440749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2018-07-30</td>\n",
       "      <td>30</td>\n",
       "      <td>2.743164</td>\n",
       "      <td>10.138356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2018-08-06</td>\n",
       "      <td>24</td>\n",
       "      <td>2.631808</td>\n",
       "      <td>8.888209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2018-08-13</td>\n",
       "      <td>23</td>\n",
       "      <td>2.879905</td>\n",
       "      <td>9.007621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2018-08-20</td>\n",
       "      <td>27</td>\n",
       "      <td>2.741419</td>\n",
       "      <td>8.859031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2018-08-27</td>\n",
       "      <td>33</td>\n",
       "      <td>2.573113</td>\n",
       "      <td>9.172044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2018-09-03</td>\n",
       "      <td>25</td>\n",
       "      <td>3.017485</td>\n",
       "      <td>10.481833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2018-09-10</td>\n",
       "      <td>33</td>\n",
       "      <td>3.458113</td>\n",
       "      <td>11.110522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2018-09-17</td>\n",
       "      <td>26</td>\n",
       "      <td>2.720883</td>\n",
       "      <td>7.678292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2018-09-24</td>\n",
       "      <td>29</td>\n",
       "      <td>3.356631</td>\n",
       "      <td>9.490794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2018-10-01</td>\n",
       "      <td>31</td>\n",
       "      <td>2.591453</td>\n",
       "      <td>13.042140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2018-10-08</td>\n",
       "      <td>41</td>\n",
       "      <td>2.805334</td>\n",
       "      <td>9.276699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2018-10-15</td>\n",
       "      <td>44</td>\n",
       "      <td>2.610315</td>\n",
       "      <td>9.891375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2018-10-22</td>\n",
       "      <td>50</td>\n",
       "      <td>3.004222</td>\n",
       "      <td>11.861352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2018-10-29</td>\n",
       "      <td>44</td>\n",
       "      <td>2.908850</td>\n",
       "      <td>7.916576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2018-11-05</td>\n",
       "      <td>39</td>\n",
       "      <td>2.793123</td>\n",
       "      <td>7.408036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2018-11-12</td>\n",
       "      <td>41</td>\n",
       "      <td>2.864621</td>\n",
       "      <td>9.302421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2018-11-19</td>\n",
       "      <td>48</td>\n",
       "      <td>2.946630</td>\n",
       "      <td>8.229026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2018-11-26</td>\n",
       "      <td>48</td>\n",
       "      <td>2.569410</td>\n",
       "      <td>8.184445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2018-12-03</td>\n",
       "      <td>53</td>\n",
       "      <td>2.633064</td>\n",
       "      <td>9.464403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2018-12-10</td>\n",
       "      <td>43</td>\n",
       "      <td>2.468861</td>\n",
       "      <td>7.635926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2018-12-17</td>\n",
       "      <td>22</td>\n",
       "      <td>2.235139</td>\n",
       "      <td>5.008392</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         week  n_tweets  avg_retweets  avg_favorite\n",
       "0  2018-04-02        59      3.031357      8.497609\n",
       "1  2018-04-09        67      2.380566      8.941072\n",
       "2  2018-04-16        80      2.902267      8.455548\n",
       "3  2018-04-23        81      2.597064      9.700304\n",
       "4  2018-04-30        54      3.025615     10.170684\n",
       "5  2018-05-07        56      2.279093      7.733034\n",
       "6  2018-05-14        56      1.658016      6.177933\n",
       "7  2018-05-21        45      1.644790      4.820913\n",
       "8  2018-05-28        39      2.363629      8.640204\n",
       "9  2018-06-04        49      2.329797      8.551762\n",
       "10 2018-06-11        36      2.144405      9.175525\n",
       "11 2018-06-18        38      2.890632     10.124253\n",
       "12 2018-06-25        44      2.416922     10.329332\n",
       "13 2018-07-02        27      3.245094     13.222196\n",
       "14 2018-07-09        38      2.790598     10.331971\n",
       "15 2018-07-16        35      2.531716      7.074385\n",
       "16 2018-07-23         7      2.068450      4.440749\n",
       "17 2018-07-30        30      2.743164     10.138356\n",
       "18 2018-08-06        24      2.631808      8.888209\n",
       "19 2018-08-13        23      2.879905      9.007621\n",
       "20 2018-08-20        27      2.741419      8.859031\n",
       "21 2018-08-27        33      2.573113      9.172044\n",
       "22 2018-09-03        25      3.017485     10.481833\n",
       "23 2018-09-10        33      3.458113     11.110522\n",
       "24 2018-09-17        26      2.720883      7.678292\n",
       "25 2018-09-24        29      3.356631      9.490794\n",
       "26 2018-10-01        31      2.591453     13.042140\n",
       "27 2018-10-08        41      2.805334      9.276699\n",
       "28 2018-10-15        44      2.610315      9.891375\n",
       "29 2018-10-22        50      3.004222     11.861352\n",
       "30 2018-10-29        44      2.908850      7.916576\n",
       "31 2018-11-05        39      2.793123      7.408036\n",
       "32 2018-11-12        41      2.864621      9.302421\n",
       "33 2018-11-19        48      2.946630      8.229026\n",
       "34 2018-11-26        48      2.569410      8.184445\n",
       "35 2018-12-03        53      2.633064      9.464403\n",
       "36 2018-12-10        43      2.468861      7.635926\n",
       "37 2018-12-17        22      2.235139      5.008392"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week_summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Who is tweeting most?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223372036537643772)>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from siuba.meta_hook.pandas import Categorical\n",
    "\n",
    "(df\n",
    "  >> count(_, \"screen_name\", sort = True)\n",
    "  >> head(_, 12)\n",
    "  # compare with reorder(screen_name, n)\n",
    "  >> mutate(_, screen_name = Categorical(_.screen_name, _.screen_name.iloc[::-1], ordered = True))\n",
    "  >> ggplot(aes(\"screen_name\", \"n\"))\n",
    "   + geom_col()\n",
    "   + coord_flip()\n",
    "  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Who is getting most retweets?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>screen_name</th>\n",
       "      <th>tweets</th>\n",
       "      <th>retweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>thomas_mock</td>\n",
       "      <td>172</td>\n",
       "      <td>729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>R4DScommunity</td>\n",
       "      <td>92</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>WireMonkey</td>\n",
       "      <td>38</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>30</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>sapo83</td>\n",
       "      <td>24</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>veerlevanson</td>\n",
       "      <td>23</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>othomn</td>\n",
       "      <td>23</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>kigtembu</td>\n",
       "      <td>20</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>committedtotape</td>\n",
       "      <td>19</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>DaveBloom11</td>\n",
       "      <td>19</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         screen_name  tweets  retweets\n",
       "453      thomas_mock     172       729\n",
       "144    R4DScommunity      92       250\n",
       "202       WireMonkey      38       126\n",
       "286     harrocyranka      30       104\n",
       "422           sapo83      24        64\n",
       "465     veerlevanson      23       121\n",
       "385           othomn      23        54\n",
       "326         kigtembu      20        37\n",
       "231  committedtotape      19        84\n",
       "43       DaveBloom11      19        61"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df\n",
    "  >> group_by(_, \"screen_name\") \n",
    "  >> summarize(_, tweets = _.shape[0], retweets = _.retweet_count.sum())\n",
    "  >> arrange(_, -_.tweets, -_.retweets)\n",
    "  >> head(_, 10)\n",
    "  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>screen_name</th>\n",
       "      <th>text</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>favorite_count</th>\n",
       "      <th>ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>hadleywickham</td>\n",
       "      <td>@drob Do a #tidytuesday !</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>isbrutussick</td>\n",
       "      <td>.@drob can’t say enough what an incredible pub...</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>813</th>\n",
       "      <td>EvaMaeRey</td>\n",
       "      <td>One Monday of \"core tidyverse\" package downloa...</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1451</th>\n",
       "      <td>jblewis49</td>\n",
       "      <td>My first #TidyTuesday submission.  I am new to...</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>thomas_mock</td>\n",
       "      <td>For #TidyTuesday this week I have to side with...</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1122</th>\n",
       "      <td>thomasp85</td>\n",
       "      <td>Since there is no weekday starting with \"A\" th...</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1188</th>\n",
       "      <td>cs_teitelbaum</td>\n",
       "      <td>Looks like even Portlanders aren't immune to r...</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1344</th>\n",
       "      <td>markdaku</td>\n",
       "      <td>Not a lot of time this morn, but some quick gr...</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1318</th>\n",
       "      <td>_LouiseRP</td>\n",
       "      <td>My first go at #TidyTuesday and (gasp) first e...</td>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>JCMassante</td>\n",
       "      <td>After six Tuesdays reading #TidyTuesday contri...</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        screen_name                                               text  \\\n",
       "955   hadleywickham                          @drob Do a #tidytuesday !   \n",
       "47     isbrutussick  .@drob can’t say enough what an incredible pub...   \n",
       "813       EvaMaeRey  One Monday of \"core tidyverse\" package downloa...   \n",
       "1451      jblewis49  My first #TidyTuesday submission.  I am new to...   \n",
       "415     thomas_mock  For #TidyTuesday this week I have to side with...   \n",
       "1122      thomasp85  Since there is no weekday starting with \"A\" th...   \n",
       "1188  cs_teitelbaum  Looks like even Portlanders aren't immune to r...   \n",
       "1344       markdaku  Not a lot of time this morn, but some quick gr...   \n",
       "1318      _LouiseRP  My first go at #TidyTuesday and (gasp) first e...   \n",
       "1412     JCMassante  After six Tuesdays reading #TidyTuesday contri...   \n",
       "\n",
       "      retweet_count  favorite_count  ratio  \n",
       "955               0              61   62.0  \n",
       "47                0              25   26.0  \n",
       "813               0              23   24.0  \n",
       "1451              0              23   24.0  \n",
       "415               0              18   19.0  \n",
       "1122              1              35   18.0  \n",
       "1188              0              16   17.0  \n",
       "1344              0              16   17.0  \n",
       "1318              1              32   16.5  \n",
       "1412              0              15   16.0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df \\\n",
    "  >> select(_, \"screen_name\", \"text\", \"retweet_count\", \"favorite_count\") \\\n",
    "  >> mutate(_, ratio = (_.favorite_count + 1) / (_.retweet_count + 1)) \\\n",
    "  >> arrange(_, -_.ratio) \\\n",
    "  >> head(_, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## tidytext analyses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "558"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk.tokenize import TweetTokenizer\n",
    "\n",
    "# make and test tokenizer\n",
    "tknzr = TweetTokenizer()\n",
    "s0 = df.loc[0, 'text']\n",
    "tknzr.tokenize(s0)\n",
    "\n",
    "def tokenize(s):\n",
    "    return pd.DataFrame({'word': tknzr.tokenize(s)})\n",
    "\n",
    "all_tweet_words = df \\\n",
    "  >> mutate(_, data = _.text.apply(tokenize)) \\\n",
    "  >> unnest(_, \"data\")\n",
    "\n",
    "# count number of times the word \"in\" appears. Need to use stopwords!\n",
    "all_tweet_words.word.value_counts()['in']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223372036536105072)>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# stopwords: see https://stackoverflow.com/a/19133088/1144523\n",
    "from nltk.corpus import stopwords\n",
    "\n",
    "stop_en = set(stopwords.words('english'))\n",
    "stop_en.update([\"#TidyTuesday\", \"#tidytuesday\", \"de\", \"I\"])\n",
    "\n",
    "tweet_words = all_tweet_words \\\n",
    "  >> filter(_, ~_.word.isin(stop_en), _.word.str.contains(\"[a-zA-Z]\")) \\\n",
    "  >> mutate(_, week = _.created_at.dt.to_period(\"W\").dt.start_time)\n",
    "\n",
    "(tweet_words\n",
    "  >> count(_, _.word, sort = True)\n",
    "  >> head(_, 16)\n",
    "  >> mutate(_, word = Categorical(_.word, _.word.iloc[::-1], ordered = True))\n",
    "  >> ggplot(aes(\"word\", \"n\"))\n",
    "   + geom_col()\n",
    "   + coord_flip()\n",
    "   + labs(title = \"Most common words in #tidytuesday tweets\", y = \"frequency\")\n",
    "  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (-9223372036536087727)>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df\n",
    "  >> ggplot(aes(\"favorite_count + 1\"))\n",
    "   + geom_histogram(bins = 30)\n",
    "   + scale_x_log10()\n",
    "  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What topic is each week about?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# use tf_idf on weekly words\n",
    "from sklearn.feature_extraction.text import TfidfTransformer\n",
    "\n",
    "tf_idf = TfidfTransformer()\n",
    "\n",
    "# convert to week x word frequency counts\n",
    "# note: not a sparse matrix, use sklearn's CountVectorizer for that\n",
    "week_word_freq = tweet_words \\\n",
    "  >> count(_, \"week\", \"word\") \\\n",
    "  >> spread(_, \"word\", \"n\", fill = 0, reset_index = False)\n",
    "\n",
    "# get week x word tf-idf measures\n",
    "tf_idf.fit(week_word_freq)\n",
    "word_tf_idf = tf_idf.transform(week_word_freq).toarray()\n",
    "\n",
    "# do some serious munging to go back to long format\n",
    "tmp = pd.DataFrame(word_tf_idf, index = week_word_freq.index, columns=week_word_freq.columns)\n",
    "tmp[tmp == 0] = pd.np.nan\n",
    "long_tf_idf = tmp.stack().reset_index() >> rename(_, word = \"level_1\", tf_idf = 0)\n",
    "\n",
    "top_word = (tweet_words\n",
    "  >> inner_join(_, long_tf_idf, [\"week\", \"word\"])\n",
    "  >> arrange(_, -_.tf_idf)\n",
    "  >> distinct(_, \"week\", _keep_all = True)\n",
    "  >> select(_, _.week, _.tf_idf, _.startswith(\"\"))\n",
    "  )\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>week</th>\n",
       "      <th>tf_idf</th>\n",
       "      <th>word</th>\n",
       "      <th>user_id</th>\n",
       "      <th>status_id</th>\n",
       "      <th>created_at</th>\n",
       "      <th>screen_name</th>\n",
       "      <th>text</th>\n",
       "      <th>source</th>\n",
       "      <th>display_text_width</th>\n",
       "      <th>...</th>\n",
       "      <th>verified</th>\n",
       "      <th>profile_url</th>\n",
       "      <th>profile_expanded_url</th>\n",
       "      <th>account_lang</th>\n",
       "      <th>profile_banner_url</th>\n",
       "      <th>profile_background_url</th>\n",
       "      <th>profile_image_url</th>\n",
       "      <th>n_tweets</th>\n",
       "      <th>avg_retweets</th>\n",
       "      <th>avg_favorite</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2018-09-10</td>\n",
       "      <td>0.455189</td>\n",
       "      <td>dogs</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1039505744385720320</td>\n",
       "      <td>2018-09-11 13:27:37</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>#TidyTuesday week 24. Decided to cluster state...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>258.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>33</td>\n",
       "      <td>3.458113</td>\n",
       "      <td>11.110522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2018-09-24</td>\n",
       "      <td>0.404363</td>\n",
       "      <td>species</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1044582983200473088</td>\n",
       "      <td>2018-09-25 13:42:45</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>#tidytuesday week 26. Invasive species by Afri...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>260.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>29</td>\n",
       "      <td>3.356631</td>\n",
       "      <td>9.490794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-07-02</td>\n",
       "      <td>0.491469</td>\n",
       "      <td>expectancy</td>\n",
       "      <td>3229475660</td>\n",
       "      <td>1014688035089321985</td>\n",
       "      <td>2018-07-05 01:50:54</td>\n",
       "      <td>iamasharkskin</td>\n",
       "      <td>#TidyTuesday after a long time! This time visu...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>236.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/TomPHSm1yR</td>\n",
       "      <td>http://kanishka.xyz</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/32294756...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/8591224800...</td>\n",
       "      <td>27</td>\n",
       "      <td>3.245094</td>\n",
       "      <td>13.222196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2018-04-02</td>\n",
       "      <td>0.218818</td>\n",
       "      <td>#rstats</td>\n",
       "      <td>15231924</td>\n",
       "      <td>981639213186678784</td>\n",
       "      <td>2018-04-04 21:06:41</td>\n",
       "      <td>WireMonkey</td>\n",
       "      <td>Used https://t.co/fCLxYKVDTw\\n#TidyTuesday to ...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>131.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/15231924...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9087404596...</td>\n",
       "      <td>59</td>\n",
       "      <td>3.031357</td>\n",
       "      <td>8.497609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2018-04-30</td>\n",
       "      <td>0.274903</td>\n",
       "      <td>Community</td>\n",
       "      <td>983470194982088704</td>\n",
       "      <td>991010304984272896</td>\n",
       "      <td>2018-04-30 17:44:03</td>\n",
       "      <td>R4DScommunity</td>\n",
       "      <td>Welcome to #TidyTuesday week 5, let's explore ...</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>276.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/98347019...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9851639084...</td>\n",
       "      <td>54</td>\n",
       "      <td>3.025615</td>\n",
       "      <td>10.170684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2018-09-03</td>\n",
       "      <td>0.248400</td>\n",
       "      <td>food</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1037026035370520580</td>\n",
       "      <td>2018-09-04 17:14:08</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>#TidyTuesday week 23. Was feeling a bit advent...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>239.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>25</td>\n",
       "      <td>3.017485</td>\n",
       "      <td>10.481833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-10-22</td>\n",
       "      <td>0.502057</td>\n",
       "      <td>movies</td>\n",
       "      <td>970554068899790848</td>\n",
       "      <td>1055062261788639234</td>\n",
       "      <td>2018-10-24 11:43:39</td>\n",
       "      <td>DaveBloom11</td>\n",
       "      <td>#TidyTuesday Week 30 - Movie Profit\\n\\nAlthoug...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>244.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/Rcmr8oqtWR</td>\n",
       "      <td>http://dave-bloom.com</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/97055406...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9705572527...</td>\n",
       "      <td>50</td>\n",
       "      <td>3.004222</td>\n",
       "      <td>11.861352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2018-11-19</td>\n",
       "      <td>0.384662</td>\n",
       "      <td>Thanksgiving</td>\n",
       "      <td>161366031</td>\n",
       "      <td>1064937573833859072</td>\n",
       "      <td>2018-11-20 17:44:37</td>\n",
       "      <td>Eeysirhc</td>\n",
       "      <td>What this suggests to me is 1) West Coast folk...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>163.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>http://t.co/XCsPiUABTH</td>\n",
       "      <td>http://www.christopheryee.org</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/16136603...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme9/bg.gif</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9410606207...</td>\n",
       "      <td>48</td>\n",
       "      <td>2.946630</td>\n",
       "      <td>8.229026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2018-10-29</td>\n",
       "      <td>0.412493</td>\n",
       "      <td>downloads</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1057261840705769472</td>\n",
       "      <td>2018-10-30 13:24:00</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>#tidytuesday week 31. Similar patterns for R d...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>217.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>44</td>\n",
       "      <td>2.908850</td>\n",
       "      <td>7.916576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2018-04-16</td>\n",
       "      <td>0.279379</td>\n",
       "      <td>death</td>\n",
       "      <td>3229475660</td>\n",
       "      <td>986390601477345285</td>\n",
       "      <td>2018-04-17 23:47:00</td>\n",
       "      <td>iamasharkskin</td>\n",
       "      <td>My first submission to #TidyTuesday that shows...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>205.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/TomPHSm1yR</td>\n",
       "      <td>http://kanishka.xyz</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/32294756...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/8591224800...</td>\n",
       "      <td>80</td>\n",
       "      <td>2.902267</td>\n",
       "      <td>8.455548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018-06-18</td>\n",
       "      <td>0.465750</td>\n",
       "      <td>coverage</td>\n",
       "      <td>983470194982088704</td>\n",
       "      <td>1008762711788879872</td>\n",
       "      <td>2018-06-18 17:25:47</td>\n",
       "      <td>R4DScommunity</td>\n",
       "      <td>Welcome to wk 11 of #tidytuesday!\\n\\nWe're exp...</td>\n",
       "      <td>TweetDeck</td>\n",
       "      <td>280.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/98347019...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9851639084...</td>\n",
       "      <td>38</td>\n",
       "      <td>2.890632</td>\n",
       "      <td>10.124253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2018-08-13</td>\n",
       "      <td>0.387670</td>\n",
       "      <td>trolls</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1029112726466048000</td>\n",
       "      <td>2018-08-13 21:09:28</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>For my first submission of #tidytuesday I did ...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>231.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>23</td>\n",
       "      <td>2.879905</td>\n",
       "      <td>9.007621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2018-11-12</td>\n",
       "      <td>0.354728</td>\n",
       "      <td>malaria</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1062408471826653184</td>\n",
       "      <td>2018-11-13 18:14:52</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>#TidyTuesday week 33: Malaria deaths. Decided ...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>252.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>41</td>\n",
       "      <td>2.864621</td>\n",
       "      <td>9.302421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-10-08</td>\n",
       "      <td>0.498024</td>\n",
       "      <td>turnout</td>\n",
       "      <td>970554068899790848</td>\n",
       "      <td>1049938364273582081</td>\n",
       "      <td>2018-10-10 08:23:07</td>\n",
       "      <td>DaveBloom11</td>\n",
       "      <td>#TidyTuesday Week 28 - US Voter Turnout\\nI was...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>226.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/Rcmr8oqtWR</td>\n",
       "      <td>http://dave-bloom.com</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/97055406...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9705572527...</td>\n",
       "      <td>41</td>\n",
       "      <td>2.805334</td>\n",
       "      <td>9.276699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2018-11-05</td>\n",
       "      <td>0.217115</td>\n",
       "      <td>Wind</td>\n",
       "      <td>959599787946532869</td>\n",
       "      <td>1059829569170104320</td>\n",
       "      <td>2018-11-06 15:27:14</td>\n",
       "      <td>DataVizJohansen</td>\n",
       "      <td>After a brief hiatus, I am back!\\n\\nWeek 32 #T...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>271.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/FqJnpo02Rk</td>\n",
       "      <td>https://github.com/RAJohansen</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/95959978...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1049333554...</td>\n",
       "      <td>39</td>\n",
       "      <td>2.793123</td>\n",
       "      <td>7.408036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2018-07-09</td>\n",
       "      <td>0.296295</td>\n",
       "      <td>beer</td>\n",
       "      <td>15231924</td>\n",
       "      <td>1017189307843563522</td>\n",
       "      <td>2018-07-11 23:30:04</td>\n",
       "      <td>WireMonkey</td>\n",
       "      <td>This week's #TidyTuesday is after my own (Two)...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>152.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/15231924...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9087404596...</td>\n",
       "      <td>38</td>\n",
       "      <td>2.790598</td>\n",
       "      <td>10.331971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2018-07-30</td>\n",
       "      <td>0.230963</td>\n",
       "      <td>animals</td>\n",
       "      <td>614549020</td>\n",
       "      <td>1024282311947378691</td>\n",
       "      <td>2018-07-31 13:15:08</td>\n",
       "      <td>veerlevanson</td>\n",
       "      <td>Week 18 of #TidyTuesday: the Dallas animal she...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>234.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>nl</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/61454902...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9989901966...</td>\n",
       "      <td>30</td>\n",
       "      <td>2.743164</td>\n",
       "      <td>10.138356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2018-08-20</td>\n",
       "      <td>0.465258</td>\n",
       "      <td>fires</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1031950062358851584</td>\n",
       "      <td>2018-08-21 17:04:02</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>#tidytuesday week 21. Here is my contribution ...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>215.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>27</td>\n",
       "      <td>2.741419</td>\n",
       "      <td>8.859031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2018-09-17</td>\n",
       "      <td>0.327413</td>\n",
       "      <td>airports</td>\n",
       "      <td>52105104</td>\n",
       "      <td>1042147462985789443</td>\n",
       "      <td>2018-09-18 20:24:51</td>\n",
       "      <td>trevin_flick</td>\n",
       "      <td>Trying out #gganimate on #TidyTuesday Alaska b...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>104.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/52105104...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme18/bg.gif</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/7720934808...</td>\n",
       "      <td>26</td>\n",
       "      <td>2.720883</td>\n",
       "      <td>7.678292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2018-12-03</td>\n",
       "      <td>0.278071</td>\n",
       "      <td>articles</td>\n",
       "      <td>970554068899790848</td>\n",
       "      <td>1070892571654680576</td>\n",
       "      <td>2018-12-07 04:07:39</td>\n",
       "      <td>DaveBloom11</td>\n",
       "      <td>#TidyTuesday Week 36 - Medium Artcles\\n\\nAltho...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>264.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/Rcmr8oqtWR</td>\n",
       "      <td>http://dave-bloom.com</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/97055406...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9705572527...</td>\n",
       "      <td>53</td>\n",
       "      <td>2.633064</td>\n",
       "      <td>9.464403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-08-06</td>\n",
       "      <td>0.474941</td>\n",
       "      <td>airline</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1026586570164457472</td>\n",
       "      <td>2018-08-06 21:51:26</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>Props to aeroflot for reducing their number of...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>226.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>24</td>\n",
       "      <td>2.631808</td>\n",
       "      <td>8.888209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2018-10-15</td>\n",
       "      <td>0.380727</td>\n",
       "      <td>majors</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1052914012961288200</td>\n",
       "      <td>2018-10-18 13:27:17</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>#TidyTuesday week 2. Took a look at the relati...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>261.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>44</td>\n",
       "      <td>2.610315</td>\n",
       "      <td>9.891375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2018-04-23</td>\n",
       "      <td>0.184015</td>\n",
       "      <td>gap</td>\n",
       "      <td>891086955475333120</td>\n",
       "      <td>988897935755751425</td>\n",
       "      <td>2018-04-24 21:50:15</td>\n",
       "      <td>mjwall_</td>\n",
       "      <td>My first tweet and first contribution to #Tidy...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>255.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1007766801...</td>\n",
       "      <td>81</td>\n",
       "      <td>2.597064</td>\n",
       "      <td>9.700304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2018-10-01</td>\n",
       "      <td>0.456120</td>\n",
       "      <td>births</td>\n",
       "      <td>970554068899790848</td>\n",
       "      <td>1048077833203941376</td>\n",
       "      <td>2018-10-05 05:10:02</td>\n",
       "      <td>DaveBloom11</td>\n",
       "      <td>#TidyTuesday Week 27 - US Births\\nI highlighte...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>241.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/Rcmr8oqtWR</td>\n",
       "      <td>http://dave-bloom.com</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/97055406...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9705572527...</td>\n",
       "      <td>31</td>\n",
       "      <td>2.591453</td>\n",
       "      <td>13.042140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2018-08-27</td>\n",
       "      <td>0.208670</td>\n",
       "      <td>passing</td>\n",
       "      <td>122462547</td>\n",
       "      <td>1034514501264191488</td>\n",
       "      <td>2018-08-28 18:54:12</td>\n",
       "      <td>harrocyranka</td>\n",
       "      <td>#TidyTuesday week 22.\\nInteresting patterns in...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>224.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1070137590...</td>\n",
       "      <td>33</td>\n",
       "      <td>2.573113</td>\n",
       "      <td>9.172044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-11-26</td>\n",
       "      <td>0.474095</td>\n",
       "      <td>bridges</td>\n",
       "      <td>161366031</td>\n",
       "      <td>1067665988676550656</td>\n",
       "      <td>2018-11-28 06:26:22</td>\n",
       "      <td>Eeysirhc</td>\n",
       "      <td>#tidytuesday all up in them bridges....did the...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>153.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>http://t.co/XCsPiUABTH</td>\n",
       "      <td>http://www.christopheryee.org</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/16136603...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme9/bg.gif</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9410606207...</td>\n",
       "      <td>48</td>\n",
       "      <td>2.569410</td>\n",
       "      <td>8.184445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2018-07-16</td>\n",
       "      <td>0.278316</td>\n",
       "      <td>exercise</td>\n",
       "      <td>2158970839</td>\n",
       "      <td>1019398638097686528</td>\n",
       "      <td>2018-07-18 01:49:09</td>\n",
       "      <td>sastoudt</td>\n",
       "      <td>Some surprises in this week's #TidyTuesday. Sp...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>186.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/nrr6DsCnkz</td>\n",
       "      <td>https://sastoudt.github.io/</td>\n",
       "      <td>en</td>\n",
       "      <td>NA</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/8561977973...</td>\n",
       "      <td>35</td>\n",
       "      <td>2.531716</td>\n",
       "      <td>7.074385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2018-12-10</td>\n",
       "      <td>0.243862</td>\n",
       "      <td>NYC</td>\n",
       "      <td>1070738657315827713</td>\n",
       "      <td>1072308101418807296</td>\n",
       "      <td>2018-12-11 01:52:28</td>\n",
       "      <td>JerrickTram</td>\n",
       "      <td>Took a shot at this week's #TidyTuesday challe...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>197.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/10707386...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/1071950343...</td>\n",
       "      <td>43</td>\n",
       "      <td>2.468861</td>\n",
       "      <td>7.635926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2018-06-25</td>\n",
       "      <td>0.316248</td>\n",
       "      <td>consumption</td>\n",
       "      <td>983470194982088704</td>\n",
       "      <td>1011296625720020993</td>\n",
       "      <td>2018-06-25 17:14:39</td>\n",
       "      <td>R4DScommunity</td>\n",
       "      <td>Welcome to week 13 of #tidytuesday!\\n\\nWe're e...</td>\n",
       "      <td>TweetDeck</td>\n",
       "      <td>239.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/98347019...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9851639084...</td>\n",
       "      <td>44</td>\n",
       "      <td>2.416922</td>\n",
       "      <td>10.329332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2018-04-09</td>\n",
       "      <td>0.218042</td>\n",
       "      <td>@thomas_mock</td>\n",
       "      <td>983470194982088704</td>\n",
       "      <td>985556103219081216</td>\n",
       "      <td>2018-04-15 16:31:00</td>\n",
       "      <td>R4DScommunity</td>\n",
       "      <td>#TidyTuesday is a weekly challenge where you c...</td>\n",
       "      <td>TweetDeck</td>\n",
       "      <td>249.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/98347019...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9851639084...</td>\n",
       "      <td>67</td>\n",
       "      <td>2.380566</td>\n",
       "      <td>8.941072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2018-05-28</td>\n",
       "      <td>0.393639</td>\n",
       "      <td>characters</td>\n",
       "      <td>983470194982088704</td>\n",
       "      <td>1001454914411925504</td>\n",
       "      <td>2018-05-29 13:27:12</td>\n",
       "      <td>R4DScommunity</td>\n",
       "      <td>Welcome to week 9 of #tidytuesday! \\n\\nLet’s e...</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>252.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/98347019...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9851639084...</td>\n",
       "      <td>39</td>\n",
       "      <td>2.363629</td>\n",
       "      <td>8.640204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2018-06-04</td>\n",
       "      <td>0.209192</td>\n",
       "      <td>data</td>\n",
       "      <td>983470194982088704</td>\n",
       "      <td>1003677238120910848</td>\n",
       "      <td>2018-06-04 16:37:55</td>\n",
       "      <td>R4DScommunity</td>\n",
       "      <td>Welcome to week 10 of #tidytuesday!\\n\\nIn coll...</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>276.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/98347019...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9851639084...</td>\n",
       "      <td>49</td>\n",
       "      <td>2.329797</td>\n",
       "      <td>8.551762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2018-05-07</td>\n",
       "      <td>0.365609</td>\n",
       "      <td>Starbucks</td>\n",
       "      <td>3229475660</td>\n",
       "      <td>994067214847430656</td>\n",
       "      <td>2018-05-09 04:11:07</td>\n",
       "      <td>iamasharkskin</td>\n",
       "      <td>Week 6 #TidyTuesday submission, this one shows...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>275.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/TomPHSm1yR</td>\n",
       "      <td>http://kanishka.xyz</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/32294756...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/8591224800...</td>\n",
       "      <td>56</td>\n",
       "      <td>2.279093</td>\n",
       "      <td>7.733034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2018-12-17</td>\n",
       "      <td>0.132164</td>\n",
       "      <td>#rstats</td>\n",
       "      <td>1241814552</td>\n",
       "      <td>1074664472634109952</td>\n",
       "      <td>2018-12-17 13:55:51</td>\n",
       "      <td>thomas_mock</td>\n",
       "      <td>The @R4DScommunity welcomes you to week 38 of ...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>254.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/72IzYqJG8r</td>\n",
       "      <td>http://thomasmock.netlify.com/</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/12418145...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9515783812...</td>\n",
       "      <td>22</td>\n",
       "      <td>2.235139</td>\n",
       "      <td>5.008392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2018-06-11</td>\n",
       "      <td>0.324277</td>\n",
       "      <td>audience</td>\n",
       "      <td>15231924</td>\n",
       "      <td>1006985086192021505</td>\n",
       "      <td>2018-06-13 19:42:08</td>\n",
       "      <td>WireMonkey</td>\n",
       "      <td>#tidytuesday #rstats #r4ds #viz #worldcup\\ncod...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>271.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/15231924...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9087404596...</td>\n",
       "      <td>36</td>\n",
       "      <td>2.144405</td>\n",
       "      <td>9.175525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2018-07-23</td>\n",
       "      <td>0.393925</td>\n",
       "      <td>p-hack-athon</td>\n",
       "      <td>4105002613</td>\n",
       "      <td>1021549732890439680</td>\n",
       "      <td>2018-07-24 00:16:50</td>\n",
       "      <td>guacamolebio</td>\n",
       "      <td>abandoned doing any sort of shareable #tidytue...</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>https://t.co/KSKejQ7YJj</td>\n",
       "      <td>https://marialma.github.io</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/41050026...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/7561433039...</td>\n",
       "      <td>7</td>\n",
       "      <td>2.068450</td>\n",
       "      <td>4.440749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2018-05-14</td>\n",
       "      <td>0.326340</td>\n",
       "      <td>Wars</td>\n",
       "      <td>983470194982088704</td>\n",
       "      <td>996021485008539651</td>\n",
       "      <td>2018-05-14 13:36:41</td>\n",
       "      <td>R4DScommunity</td>\n",
       "      <td>The @R4DScommunity welcomes you to week 7 of #...</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>269.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/98347019...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9851639084...</td>\n",
       "      <td>56</td>\n",
       "      <td>1.658016</td>\n",
       "      <td>6.177933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2018-05-21</td>\n",
       "      <td>0.302570</td>\n",
       "      <td>honey</td>\n",
       "      <td>983470194982088704</td>\n",
       "      <td>999320989304541194</td>\n",
       "      <td>2018-05-23 16:07:44</td>\n",
       "      <td>R4DScommunity</td>\n",
       "      <td>#tidytuesday rolls on! Good luck working throu...</td>\n",
       "      <td>TweetDeck</td>\n",
       "      <td>75.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NA</td>\n",
       "      <td>NA</td>\n",
       "      <td>en</td>\n",
       "      <td>https://pbs.twimg.com/profile_banners/98347019...</td>\n",
       "      <td>http://abs.twimg.com/images/themes/theme1/bg.png</td>\n",
       "      <td>http://pbs.twimg.com/profile_images/9851639084...</td>\n",
       "      <td>45</td>\n",
       "      <td>1.644790</td>\n",
       "      <td>4.820913</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38 rows × 94 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         week    tf_idf          word              user_id  \\\n",
       "8  2018-09-10  0.455189          dogs            122462547   \n",
       "10 2018-09-24  0.404363       species            122462547   \n",
       "2  2018-07-02  0.491469    expectancy           3229475660   \n",
       "31 2018-04-02  0.218818       #rstats             15231924   \n",
       "27 2018-04-30  0.274903     Community   983470194982088704   \n",
       "28 2018-09-03  0.248400          food            122462547   \n",
       "0  2018-10-22  0.502057        movies   970554068899790848   \n",
       "14 2018-11-19  0.384662  Thanksgiving            161366031   \n",
       "9  2018-10-29  0.412493     downloads            122462547   \n",
       "24 2018-04-16  0.279379         death           3229475660   \n",
       "5  2018-06-18  0.465750      coverage   983470194982088704   \n",
       "13 2018-08-13  0.387670        trolls            122462547   \n",
       "17 2018-11-12  0.354728       malaria            122462547   \n",
       "1  2018-10-08  0.498024       turnout   970554068899790848   \n",
       "33 2018-11-05  0.217115          Wind   959599787946532869   \n",
       "23 2018-07-09  0.296295          beer             15231924   \n",
       "30 2018-07-30  0.230963       animals            614549020   \n",
       "6  2018-08-20  0.465258         fires            122462547   \n",
       "18 2018-09-17  0.327413      airports             52105104   \n",
       "26 2018-12-03  0.278071      articles   970554068899790848   \n",
       "3  2018-08-06  0.474941       airline            122462547   \n",
       "15 2018-10-15  0.380727        majors            122462547   \n",
       "36 2018-04-23  0.184015           gap   891086955475333120   \n",
       "7  2018-10-01  0.456120        births   970554068899790848   \n",
       "35 2018-08-27  0.208670       passing            122462547   \n",
       "4  2018-11-26  0.474095       bridges            161366031   \n",
       "25 2018-07-16  0.278316      exercise           2158970839   \n",
       "29 2018-12-10  0.243862           NYC  1070738657315827713   \n",
       "21 2018-06-25  0.316248   consumption   983470194982088704   \n",
       "32 2018-04-09  0.218042  @thomas_mock   983470194982088704   \n",
       "12 2018-05-28  0.393639    characters   983470194982088704   \n",
       "34 2018-06-04  0.209192          data   983470194982088704   \n",
       "16 2018-05-07  0.365609     Starbucks           3229475660   \n",
       "37 2018-12-17  0.132164       #rstats           1241814552   \n",
       "20 2018-06-11  0.324277      audience             15231924   \n",
       "11 2018-07-23  0.393925  p-hack-athon           4105002613   \n",
       "19 2018-05-14  0.326340          Wars   983470194982088704   \n",
       "22 2018-05-21  0.302570         honey   983470194982088704   \n",
       "\n",
       "              status_id          created_at      screen_name  \\\n",
       "8   1039505744385720320 2018-09-11 13:27:37     harrocyranka   \n",
       "10  1044582983200473088 2018-09-25 13:42:45     harrocyranka   \n",
       "2   1014688035089321985 2018-07-05 01:50:54    iamasharkskin   \n",
       "31   981639213186678784 2018-04-04 21:06:41       WireMonkey   \n",
       "27   991010304984272896 2018-04-30 17:44:03    R4DScommunity   \n",
       "28  1037026035370520580 2018-09-04 17:14:08     harrocyranka   \n",
       "0   1055062261788639234 2018-10-24 11:43:39      DaveBloom11   \n",
       "14  1064937573833859072 2018-11-20 17:44:37         Eeysirhc   \n",
       "9   1057261840705769472 2018-10-30 13:24:00     harrocyranka   \n",
       "24   986390601477345285 2018-04-17 23:47:00    iamasharkskin   \n",
       "5   1008762711788879872 2018-06-18 17:25:47    R4DScommunity   \n",
       "13  1029112726466048000 2018-08-13 21:09:28     harrocyranka   \n",
       "17  1062408471826653184 2018-11-13 18:14:52     harrocyranka   \n",
       "1   1049938364273582081 2018-10-10 08:23:07      DaveBloom11   \n",
       "33  1059829569170104320 2018-11-06 15:27:14  DataVizJohansen   \n",
       "23  1017189307843563522 2018-07-11 23:30:04       WireMonkey   \n",
       "30  1024282311947378691 2018-07-31 13:15:08     veerlevanson   \n",
       "6   1031950062358851584 2018-08-21 17:04:02     harrocyranka   \n",
       "18  1042147462985789443 2018-09-18 20:24:51     trevin_flick   \n",
       "26  1070892571654680576 2018-12-07 04:07:39      DaveBloom11   \n",
       "3   1026586570164457472 2018-08-06 21:51:26     harrocyranka   \n",
       "15  1052914012961288200 2018-10-18 13:27:17     harrocyranka   \n",
       "36   988897935755751425 2018-04-24 21:50:15          mjwall_   \n",
       "7   1048077833203941376 2018-10-05 05:10:02      DaveBloom11   \n",
       "35  1034514501264191488 2018-08-28 18:54:12     harrocyranka   \n",
       "4   1067665988676550656 2018-11-28 06:26:22         Eeysirhc   \n",
       "25  1019398638097686528 2018-07-18 01:49:09         sastoudt   \n",
       "29  1072308101418807296 2018-12-11 01:52:28      JerrickTram   \n",
       "21  1011296625720020993 2018-06-25 17:14:39    R4DScommunity   \n",
       "32   985556103219081216 2018-04-15 16:31:00    R4DScommunity   \n",
       "12  1001454914411925504 2018-05-29 13:27:12    R4DScommunity   \n",
       "34  1003677238120910848 2018-06-04 16:37:55    R4DScommunity   \n",
       "16   994067214847430656 2018-05-09 04:11:07    iamasharkskin   \n",
       "37  1074664472634109952 2018-12-17 13:55:51      thomas_mock   \n",
       "20  1006985086192021505 2018-06-13 19:42:08       WireMonkey   \n",
       "11  1021549732890439680 2018-07-24 00:16:50     guacamolebio   \n",
       "19   996021485008539651 2018-05-14 13:36:41    R4DScommunity   \n",
       "22   999320989304541194 2018-05-23 16:07:44    R4DScommunity   \n",
       "\n",
       "                                                 text              source  \\\n",
       "8   #TidyTuesday week 24. Decided to cluster state...  Twitter Web Client   \n",
       "10  #tidytuesday week 26. Invasive species by Afri...  Twitter Web Client   \n",
       "2   #TidyTuesday after a long time! This time visu...  Twitter Web Client   \n",
       "31  Used https://t.co/fCLxYKVDTw\\n#TidyTuesday to ...  Twitter Web Client   \n",
       "27  Welcome to #TidyTuesday week 5, let's explore ...  Twitter for iPhone   \n",
       "28  #TidyTuesday week 23. Was feeling a bit advent...  Twitter Web Client   \n",
       "0   #TidyTuesday Week 30 - Movie Profit\\n\\nAlthoug...  Twitter Web Client   \n",
       "14  What this suggests to me is 1) West Coast folk...  Twitter Web Client   \n",
       "9   #tidytuesday week 31. Similar patterns for R d...  Twitter Web Client   \n",
       "24  My first submission to #TidyTuesday that shows...  Twitter Web Client   \n",
       "5   Welcome to wk 11 of #tidytuesday!\\n\\nWe're exp...           TweetDeck   \n",
       "13  For my first submission of #tidytuesday I did ...  Twitter Web Client   \n",
       "17  #TidyTuesday week 33: Malaria deaths. Decided ...  Twitter Web Client   \n",
       "1   #TidyTuesday Week 28 - US Voter Turnout\\nI was...  Twitter Web Client   \n",
       "33  After a brief hiatus, I am back!\\n\\nWeek 32 #T...  Twitter Web Client   \n",
       "23  This week's #TidyTuesday is after my own (Two)...  Twitter Web Client   \n",
       "30  Week 18 of #TidyTuesday: the Dallas animal she...  Twitter Web Client   \n",
       "6   #tidytuesday week 21. Here is my contribution ...  Twitter Web Client   \n",
       "18  Trying out #gganimate on #TidyTuesday Alaska b...  Twitter Web Client   \n",
       "26  #TidyTuesday Week 36 - Medium Artcles\\n\\nAltho...  Twitter Web Client   \n",
       "3   Props to aeroflot for reducing their number of...  Twitter Web Client   \n",
       "15  #TidyTuesday week 2. Took a look at the relati...  Twitter Web Client   \n",
       "36  My first tweet and first contribution to #Tidy...  Twitter Web Client   \n",
       "7   #TidyTuesday Week 27 - US Births\\nI highlighte...  Twitter Web Client   \n",
       "35  #TidyTuesday week 22.\\nInteresting patterns in...  Twitter Web Client   \n",
       "4   #tidytuesday all up in them bridges....did the...  Twitter Web Client   \n",
       "25  Some surprises in this week's #TidyTuesday. Sp...  Twitter Web Client   \n",
       "29  Took a shot at this week's #TidyTuesday challe...  Twitter Web Client   \n",
       "21  Welcome to week 13 of #tidytuesday!\\n\\nWe're e...           TweetDeck   \n",
       "32  #TidyTuesday is a weekly challenge where you c...           TweetDeck   \n",
       "12  Welcome to week 9 of #tidytuesday! \\n\\nLet’s e...  Twitter for iPhone   \n",
       "34  Welcome to week 10 of #tidytuesday!\\n\\nIn coll...  Twitter for iPhone   \n",
       "16  Week 6 #TidyTuesday submission, this one shows...  Twitter Web Client   \n",
       "37  The @R4DScommunity welcomes you to week 38 of ...  Twitter Web Client   \n",
       "20  #tidytuesday #rstats #r4ds #viz #worldcup\\ncod...  Twitter Web Client   \n",
       "11  abandoned doing any sort of shareable #tidytue...  Twitter Web Client   \n",
       "19  The @R4DScommunity welcomes you to week 7 of #...  Twitter for iPhone   \n",
       "22  #tidytuesday rolls on! Good luck working throu...           TweetDeck   \n",
       "\n",
       "    display_text_width  ... verified              profile_url  \\\n",
       "8                258.0  ...        0                       NA   \n",
       "10               260.0  ...        0                       NA   \n",
       "2                236.0  ...        0  https://t.co/TomPHSm1yR   \n",
       "31               131.0  ...        0                       NA   \n",
       "27               276.0  ...        0                       NA   \n",
       "28               239.0  ...        0                       NA   \n",
       "0                244.0  ...        0  https://t.co/Rcmr8oqtWR   \n",
       "14               163.0  ...        0   http://t.co/XCsPiUABTH   \n",
       "9                217.0  ...        0                       NA   \n",
       "24               205.0  ...        0  https://t.co/TomPHSm1yR   \n",
       "5                280.0  ...        0                       NA   \n",
       "13               231.0  ...        0                       NA   \n",
       "17               252.0  ...        0                       NA   \n",
       "1                226.0  ...        0  https://t.co/Rcmr8oqtWR   \n",
       "33               271.0  ...        0  https://t.co/FqJnpo02Rk   \n",
       "23               152.0  ...        0                       NA   \n",
       "30               234.0  ...        0                       NA   \n",
       "6                215.0  ...        0                       NA   \n",
       "18               104.0  ...        0                       NA   \n",
       "26               264.0  ...        0  https://t.co/Rcmr8oqtWR   \n",
       "3                226.0  ...        0                       NA   \n",
       "15               261.0  ...        0                       NA   \n",
       "36               255.0  ...        0                       NA   \n",
       "7                241.0  ...        0  https://t.co/Rcmr8oqtWR   \n",
       "35               224.0  ...        0                       NA   \n",
       "4                153.0  ...        0   http://t.co/XCsPiUABTH   \n",
       "25               186.0  ...        0  https://t.co/nrr6DsCnkz   \n",
       "29               197.0  ...        0                       NA   \n",
       "21               239.0  ...        0                       NA   \n",
       "32               249.0  ...        0                       NA   \n",
       "12               252.0  ...        0                       NA   \n",
       "34               276.0  ...        0                       NA   \n",
       "16               275.0  ...        0  https://t.co/TomPHSm1yR   \n",
       "37               254.0  ...        0  https://t.co/72IzYqJG8r   \n",
       "20               271.0  ...        0                       NA   \n",
       "11               200.0  ...        0  https://t.co/KSKejQ7YJj   \n",
       "19               269.0  ...        0                       NA   \n",
       "22                75.0  ...        0                       NA   \n",
       "\n",
       "              profile_expanded_url  account_lang  \\\n",
       "8                               NA            en   \n",
       "10                              NA            en   \n",
       "2              http://kanishka.xyz            en   \n",
       "31                              NA            en   \n",
       "27                              NA            en   \n",
       "28                              NA            en   \n",
       "0            http://dave-bloom.com            en   \n",
       "14   http://www.christopheryee.org            en   \n",
       "9                               NA            en   \n",
       "24             http://kanishka.xyz            en   \n",
       "5                               NA            en   \n",
       "13                              NA            en   \n",
       "17                              NA            en   \n",
       "1            http://dave-bloom.com            en   \n",
       "33   https://github.com/RAJohansen            en   \n",
       "23                              NA            en   \n",
       "30                              NA            nl   \n",
       "6                               NA            en   \n",
       "18                              NA            en   \n",
       "26           http://dave-bloom.com            en   \n",
       "3                               NA            en   \n",
       "15                              NA            en   \n",
       "36                              NA            en   \n",
       "7            http://dave-bloom.com            en   \n",
       "35                              NA            en   \n",
       "4    http://www.christopheryee.org            en   \n",
       "25     https://sastoudt.github.io/            en   \n",
       "29                              NA            en   \n",
       "21                              NA            en   \n",
       "32                              NA            en   \n",
       "12                              NA            en   \n",
       "34                              NA            en   \n",
       "16             http://kanishka.xyz            en   \n",
       "37  http://thomasmock.netlify.com/            en   \n",
       "20                              NA            en   \n",
       "11      https://marialma.github.io            en   \n",
       "19                              NA            en   \n",
       "22                              NA            en   \n",
       "\n",
       "                                   profile_banner_url  \\\n",
       "8                                                  NA   \n",
       "10                                                 NA   \n",
       "2   https://pbs.twimg.com/profile_banners/32294756...   \n",
       "31  https://pbs.twimg.com/profile_banners/15231924...   \n",
       "27  https://pbs.twimg.com/profile_banners/98347019...   \n",
       "28                                                 NA   \n",
       "0   https://pbs.twimg.com/profile_banners/97055406...   \n",
       "14  https://pbs.twimg.com/profile_banners/16136603...   \n",
       "9                                                  NA   \n",
       "24  https://pbs.twimg.com/profile_banners/32294756...   \n",
       "5   https://pbs.twimg.com/profile_banners/98347019...   \n",
       "13                                                 NA   \n",
       "17                                                 NA   \n",
       "1   https://pbs.twimg.com/profile_banners/97055406...   \n",
       "33  https://pbs.twimg.com/profile_banners/95959978...   \n",
       "23  https://pbs.twimg.com/profile_banners/15231924...   \n",
       "30  https://pbs.twimg.com/profile_banners/61454902...   \n",
       "6                                                  NA   \n",
       "18  https://pbs.twimg.com/profile_banners/52105104...   \n",
       "26  https://pbs.twimg.com/profile_banners/97055406...   \n",
       "3                                                  NA   \n",
       "15                                                 NA   \n",
       "36                                                 NA   \n",
       "7   https://pbs.twimg.com/profile_banners/97055406...   \n",
       "35                                                 NA   \n",
       "4   https://pbs.twimg.com/profile_banners/16136603...   \n",
       "25                                                 NA   \n",
       "29  https://pbs.twimg.com/profile_banners/10707386...   \n",
       "21  https://pbs.twimg.com/profile_banners/98347019...   \n",
       "32  https://pbs.twimg.com/profile_banners/98347019...   \n",
       "12  https://pbs.twimg.com/profile_banners/98347019...   \n",
       "34  https://pbs.twimg.com/profile_banners/98347019...   \n",
       "16  https://pbs.twimg.com/profile_banners/32294756...   \n",
       "37  https://pbs.twimg.com/profile_banners/12418145...   \n",
       "20  https://pbs.twimg.com/profile_banners/15231924...   \n",
       "11  https://pbs.twimg.com/profile_banners/41050026...   \n",
       "19  https://pbs.twimg.com/profile_banners/98347019...   \n",
       "22  https://pbs.twimg.com/profile_banners/98347019...   \n",
       "\n",
       "                               profile_background_url  \\\n",
       "8    http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "10   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "2    http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "31   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "27   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "28   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "0    http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "14   http://abs.twimg.com/images/themes/theme9/bg.gif   \n",
       "9    http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "24   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "5    http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "13   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "17   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "1    http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "33   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "23   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "30   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "6    http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "18  http://abs.twimg.com/images/themes/theme18/bg.gif   \n",
       "26   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "3    http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "15   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "36                                                 NA   \n",
       "7    http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "35   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "4    http://abs.twimg.com/images/themes/theme9/bg.gif   \n",
       "25   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "29   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "21   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "32   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "12   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "34   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "16   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "37   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "20   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "11   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "19   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "22   http://abs.twimg.com/images/themes/theme1/bg.png   \n",
       "\n",
       "                                    profile_image_url n_tweets avg_retweets  \\\n",
       "8   http://pbs.twimg.com/profile_images/1070137590...       33     3.458113   \n",
       "10  http://pbs.twimg.com/profile_images/1070137590...       29     3.356631   \n",
       "2   http://pbs.twimg.com/profile_images/8591224800...       27     3.245094   \n",
       "31  http://pbs.twimg.com/profile_images/9087404596...       59     3.031357   \n",
       "27  http://pbs.twimg.com/profile_images/9851639084...       54     3.025615   \n",
       "28  http://pbs.twimg.com/profile_images/1070137590...       25     3.017485   \n",
       "0   http://pbs.twimg.com/profile_images/9705572527...       50     3.004222   \n",
       "14  http://pbs.twimg.com/profile_images/9410606207...       48     2.946630   \n",
       "9   http://pbs.twimg.com/profile_images/1070137590...       44     2.908850   \n",
       "24  http://pbs.twimg.com/profile_images/8591224800...       80     2.902267   \n",
       "5   http://pbs.twimg.com/profile_images/9851639084...       38     2.890632   \n",
       "13  http://pbs.twimg.com/profile_images/1070137590...       23     2.879905   \n",
       "17  http://pbs.twimg.com/profile_images/1070137590...       41     2.864621   \n",
       "1   http://pbs.twimg.com/profile_images/9705572527...       41     2.805334   \n",
       "33  http://pbs.twimg.com/profile_images/1049333554...       39     2.793123   \n",
       "23  http://pbs.twimg.com/profile_images/9087404596...       38     2.790598   \n",
       "30  http://pbs.twimg.com/profile_images/9989901966...       30     2.743164   \n",
       "6   http://pbs.twimg.com/profile_images/1070137590...       27     2.741419   \n",
       "18  http://pbs.twimg.com/profile_images/7720934808...       26     2.720883   \n",
       "26  http://pbs.twimg.com/profile_images/9705572527...       53     2.633064   \n",
       "3   http://pbs.twimg.com/profile_images/1070137590...       24     2.631808   \n",
       "15  http://pbs.twimg.com/profile_images/1070137590...       44     2.610315   \n",
       "36  http://pbs.twimg.com/profile_images/1007766801...       81     2.597064   \n",
       "7   http://pbs.twimg.com/profile_images/9705572527...       31     2.591453   \n",
       "35  http://pbs.twimg.com/profile_images/1070137590...       33     2.573113   \n",
       "4   http://pbs.twimg.com/profile_images/9410606207...       48     2.569410   \n",
       "25  http://pbs.twimg.com/profile_images/8561977973...       35     2.531716   \n",
       "29  http://pbs.twimg.com/profile_images/1071950343...       43     2.468861   \n",
       "21  http://pbs.twimg.com/profile_images/9851639084...       44     2.416922   \n",
       "32  http://pbs.twimg.com/profile_images/9851639084...       67     2.380566   \n",
       "12  http://pbs.twimg.com/profile_images/9851639084...       39     2.363629   \n",
       "34  http://pbs.twimg.com/profile_images/9851639084...       49     2.329797   \n",
       "16  http://pbs.twimg.com/profile_images/8591224800...       56     2.279093   \n",
       "37  http://pbs.twimg.com/profile_images/9515783812...       22     2.235139   \n",
       "20  http://pbs.twimg.com/profile_images/9087404596...       36     2.144405   \n",
       "11  http://pbs.twimg.com/profile_images/7561433039...        7     2.068450   \n",
       "19  http://pbs.twimg.com/profile_images/9851639084...       56     1.658016   \n",
       "22  http://pbs.twimg.com/profile_images/9851639084...       45     1.644790   \n",
       "\n",
       "   avg_favorite  \n",
       "8     11.110522  \n",
       "10     9.490794  \n",
       "2     13.222196  \n",
       "31     8.497609  \n",
       "27    10.170684  \n",
       "28    10.481833  \n",
       "0     11.861352  \n",
       "14     8.229026  \n",
       "9      7.916576  \n",
       "24     8.455548  \n",
       "5     10.124253  \n",
       "13     9.007621  \n",
       "17     9.302421  \n",
       "1      9.276699  \n",
       "33     7.408036  \n",
       "23    10.331971  \n",
       "30    10.138356  \n",
       "6      8.859031  \n",
       "18     7.678292  \n",
       "26     9.464403  \n",
       "3      8.888209  \n",
       "15     9.891375  \n",
       "36     9.700304  \n",
       "7     13.042140  \n",
       "35     9.172044  \n",
       "4      8.184445  \n",
       "25     7.074385  \n",
       "29     7.635926  \n",
       "21    10.329332  \n",
       "32     8.941072  \n",
       "12     8.640204  \n",
       "34     8.551762  \n",
       "16     7.733034  \n",
       "37     5.008392  \n",
       "20     9.175525  \n",
       "11     4.440749  \n",
       "19     6.177933  \n",
       "22     4.820913  \n",
       "\n",
       "[38 rows x 94 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_word \\\n",
    "  >> inner_join(_, week_summary, [\"week\"]) \\\n",
    "  >> arrange(_, -_.avg_retweets)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scrape titles from github"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO"
   ]
  }
 ],
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