michael-erasmus/steemit tags.ipynb

## steemit tags.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read in data derived from [trending topics list](https://steemit.com/tags)\n",
    "\n",
    "This was collected on 2017-07-21 22:46:42 (UTC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tag</th>\n",
       "      <th>Posts</th>\n",
       "      <th>Comments</th>\n",
       "      <th>Payouts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>aceh</td>\n",
       "      <td>4399</td>\n",
       "      <td>805</td>\n",
       "      <td>55180.578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>adventure</td>\n",
       "      <td>1474</td>\n",
       "      <td>494</td>\n",
       "      <td>147060.430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>advice</td>\n",
       "      <td>554</td>\n",
       "      <td>210</td>\n",
       "      <td>21937.755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>altcoin</td>\n",
       "      <td>627</td>\n",
       "      <td>105</td>\n",
       "      <td>19558.774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>amazing</td>\n",
       "      <td>617</td>\n",
       "      <td>85</td>\n",
       "      <td>2204.555</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Tag  Posts  Comments     Payouts\n",
       "0       aceh   4399       805   55180.578\n",
       "1  adventure   1474       494  147060.430\n",
       "2     advice    554       210   21937.755\n",
       "3    altcoin    627       105   19558.774\n",
       "4    amazing    617        85    2204.555"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('tags.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A quick look at the summary stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Posts</th>\n",
       "      <th>Comments</th>\n",
       "      <th>Payouts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>249.000000</td>\n",
       "      <td>249.000000</td>\n",
       "      <td>2.490000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1931.751004</td>\n",
       "      <td>1866.923695</td>\n",
       "      <td>1.743020e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4419.145897</td>\n",
       "      <td>5418.708141</td>\n",
       "      <td>4.639500e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>422.000000</td>\n",
       "      <td>206.000000</td>\n",
       "      <td>1.679843e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>667.000000</td>\n",
       "      <td>408.000000</td>\n",
       "      <td>4.425472e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1387.000000</td>\n",
       "      <td>1074.000000</td>\n",
       "      <td>1.194865e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>42928.000000</td>\n",
       "      <td>43884.000000</td>\n",
       "      <td>4.091146e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Posts      Comments       Payouts\n",
       "count    249.000000    249.000000  2.490000e+02\n",
       "mean    1931.751004   1866.923695  1.743020e+05\n",
       "std     4419.145897   5418.708141  4.639500e+05\n",
       "min        1.000000     32.000000  0.000000e+00\n",
       "25%      422.000000    206.000000  1.679843e+04\n",
       "50%      667.000000    408.000000  4.425472e+04\n",
       "75%     1387.000000   1074.000000  1.194865e+05\n",
       "max    42928.000000  43884.000000  4.091146e+06"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's see a quick distribution of Posts, Comments and Payouts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11605f240>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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4KpVKWh0CwBUQfLWoXqtD89oBAMZoVPFlsQQA0NDYiq85bRdaHar4AoCWCb5a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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112c6a7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3) = plt.subplots(ncols=3, figsize=(30,10))\n",
    "sns.distplot(df.Posts, ax=ax1, color='b')\n",
    "sns.distplot(df.Comments, ax=ax2, color='r')\n",
    "sns.distplot(df.Payouts, color='g')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's look at the top 20 tags in terms of Posts, Comments and Payouts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x116f946a0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x116184908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top = lambda n, by: df.sort_values(by=by, ascending=False).head(n)\n",
    "payout_formatter = FuncFormatter(lambda x,p: '%1.1fM' % (x*1e-6))\n",
    "\n",
    "fig, (ax1,ax2,ax3) = plt.subplots(figsize=(20,15), ncols=3)\n",
    "\n",
    "sns.barplot(y='Tag', x='Posts',\n",
    "            palette=sns.light_palette(\"blue\", n_colors=20, reverse=True),\n",
    "            data=top(20, \"Posts\"), \n",
    "            ax=ax1)\n",
    "ax1.set(title=\"Posts\", xlabel='')\n",
    "\n",
    "sns.barplot(y='Tag', x='Comments',\n",
    "            palette=sns.light_palette(\"red\", n_colors=20, reverse=True),\n",
    "            data=top(20, \"Comments\"), \n",
    "            ax=ax2)\n",
    "ax2.set(title=\"Comments\", xlabel='', ylabel='')\n",
    "\n",
    "sns.barplot(y='Tag', x='Payouts',\n",
    "            palette=sns.light_palette(\"green\", n_colors=20, reverse=True),\n",
    "            data=top(20, \"Payouts\"), \n",
    "            ax=ax3)\n",
    "\n",
    "ax3.set(title=\"Payouts in SBD\", xlabel='', ylabel='')\n",
    "ax3.xaxis.set_major_formatter(payout_formatter)\n",
    "\n",
    "fig.suptitle('Top 20 Tags in terms of Posts, Comments and Payouts')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's look at the Payout's in terms of posts and comments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = df.sort_values(by=\"Payouts\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.text.Text at 0x1177994a8>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Td3ndxIkTNXHiREnSzJkzNXPmTEnSpEmTNGnSpGzHBICSMbhfY0GXUJ9FIXVg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      "text/plain": [
       "<matplotlib.figure.Figure at 0x116158a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1,ax2) = plt.subplots(figsize=(20,10), ncols=2, sharey=True)\n",
    "\n",
    "sns.regplot(x='Posts', \n",
    "            y='Payouts', \n",
    "            scatter_kws={'alpha':0.5}, \n",
    "            data=df, \n",
    "            ax=ax1)\n",
    "\n",
    "for i, tag in enumerate(df.Tag.head(20)):\n",
    "    ax1.annotate(tag,(list(df.Posts)[i],list(df.Payouts)[i]))\n",
    "    \n",
    "ax1.yaxis.set_major_formatter(payout_formatter)\n",
    "\n",
    "\n",
    "sns.regplot(x='Comments', \n",
    "            y='Payouts', \n",
    "            scatter_kws={'alpha':0.5}, \n",
    "            data=df, \n",
    "            ax=ax2)\n",
    "\n",
    "#Annotate the top 20 in terms of payout\n",
    "for i, tag in enumerate(df.Tag.head(20)):\n",
    "    ax2.annotate(tag,(list(df.Comments)[i],list(df.Payouts)[i]))\n",
    "    \n",
    "ax2.yaxis.set_major_formatter(payout_formatter)\n",
    "ax2.set(ylabel='')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What's the payout per post/comment for tags?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's important to note that this is not the same as the \"Average Post/Comment Payout\"! \n",
    "\n",
    "Because we only have the **Total Payout** without knowing how much is allocated for Posts and Comments, the exact ratio might not be too useful, but can still give us a rough idea how the tags compare against each other. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['payout_per_post'] = df.Payouts / df.Posts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tag</th>\n",
       "      <th>Posts</th>\n",
       "      <th>payout_per_post</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>bitshares</td>\n",
       "      <td>286</td>\n",
       "      <td>1105.515846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>steemfest</td>\n",
       "      <td>125</td>\n",
       "      <td>925.923792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>witness-category</td>\n",
       "      <td>113</td>\n",
       "      <td>844.448761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>meetup</td>\n",
       "      <td>112</td>\n",
       "      <td>643.752375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>beyondbitcoin</td>\n",
       "      <td>994</td>\n",
       "      <td>500.433907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>steem-help</td>\n",
       "      <td>211</td>\n",
       "      <td>469.506502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>steem-pocalypse</td>\n",
       "      <td>38</td>\n",
       "      <td>411.794526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>curation</td>\n",
       "      <td>371</td>\n",
       "      <td>368.283876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>security</td>\n",
       "      <td>530</td>\n",
       "      <td>353.183917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>coinkorea</td>\n",
       "      <td>481</td>\n",
       "      <td>339.354857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>crypto-news</td>\n",
       "      <td>984</td>\n",
       "      <td>326.677209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>gridcoin</td>\n",
       "      <td>75</td>\n",
       "      <td>319.262480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>charlesfuchs</td>\n",
       "      <td>8</td>\n",
       "      <td>317.167500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>introduceyourself</td>\n",
       "      <td>4430</td>\n",
       "      <td>306.785769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>stats</td>\n",
       "      <td>402</td>\n",
       "      <td>296.285604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>marketing</td>\n",
       "      <td>560</td>\n",
       "      <td>274.113300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>economics</td>\n",
       "      <td>470</td>\n",
       "      <td>264.304479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>steem</td>\n",
       "      <td>10607</td>\n",
       "      <td>253.045986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>steemvoter</td>\n",
       "      <td>114</td>\n",
       "      <td>252.183789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>eos</td>\n",
       "      <td>362</td>\n",
       "      <td>251.570713</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Tag  Posts  payout_per_post\n",
       "0           bitshares    286      1105.515846\n",
       "1           steemfest    125       925.923792\n",
       "2    witness-category    113       844.448761\n",
       "3              meetup    112       643.752375\n",
       "4       beyondbitcoin    994       500.433907\n",
       "5          steem-help    211       469.506502\n",
       "6     steem-pocalypse     38       411.794526\n",
       "7            curation    371       368.283876\n",
       "8            security    530       353.183917\n",
       "9           coinkorea    481       339.354857\n",
       "10        crypto-news    984       326.677209\n",
       "11           gridcoin     75       319.262480\n",
       "12       charlesfuchs      8       317.167500\n",
       "13  introduceyourself   4430       306.785769\n",
       "14              stats    402       296.285604\n",
       "15          marketing    560       274.113300\n",
       "16          economics    470       264.304479\n",
       "17              steem  10607       253.045986\n",
       "18         steemvoter    114       252.183789\n",
       "19                eos    362       251.570713"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Tag', 'Posts', 'payout_per_post']] \\\n",
    "    .sort_values(by='payout_per_post', ascending=False)\\\n",
    "    .head(20) \\\n",
    "    .reset_index() \\\n",
    "    .drop('index', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['payout_per_comment'] = df.Payouts / df.Comments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        text-align: right;\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tag</th>\n",
       "      <th>Comments</th>\n",
       "      <th>payout_per_comment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>creativity</td>\n",
       "      <td>163</td>\n",
       "      <td>1481.952816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>minnowsunite</td>\n",
       "      <td>170</td>\n",
       "      <td>1479.143265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>future</td>\n",
       "      <td>35</td>\n",
       "      <td>1348.421343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>finance</td>\n",
       "      <td>48</td>\n",
       "      <td>1218.871104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>marketing</td>\n",
       "      <td>142</td>\n",
       "      <td>1081.010197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>review</td>\n",
       "      <td>66</td>\n",
       "      <td>1028.849197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>security</td>\n",
       "      <td>215</td>\n",
       "      <td>870.639423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>work</td>\n",
       "      <td>87</td>\n",
       "      <td>633.268655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>stats</td>\n",
       "      <td>190</td>\n",
       "      <td>626.877963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>creative</td>\n",
       "      <td>143</td>\n",
       "      <td>610.995790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>beyondbitcoin</td>\n",
       "      <td>816</td>\n",
       "      <td>609.597186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>china</td>\n",
       "      <td>49</td>\n",
       "      <td>605.306388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>recipe</td>\n",
       "      <td>161</td>\n",
       "      <td>587.820820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>government</td>\n",
       "      <td>104</td>\n",
       "      <td>578.813019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>anarchism</td>\n",
       "      <td>295</td>\n",
       "      <td>568.976651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>girls</td>\n",
       "      <td>127</td>\n",
       "      <td>507.826693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>fun</td>\n",
       "      <td>246</td>\n",
       "      <td>470.909626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>recipes</td>\n",
       "      <td>256</td>\n",
       "      <td>466.744328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>painting</td>\n",
       "      <td>237</td>\n",
       "      <td>466.703169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>tutorial</td>\n",
       "      <td>132</td>\n",
       "      <td>452.375341</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Tag  Comments  payout_per_comment\n",
       "0      creativity       163         1481.952816\n",
       "1    minnowsunite       170         1479.143265\n",
       "2          future        35         1348.421343\n",
       "3         finance        48         1218.871104\n",
       "4       marketing       142         1081.010197\n",
       "5          review        66         1028.849197\n",
       "6        security       215          870.639423\n",
       "7            work        87          633.268655\n",
       "8           stats       190          626.877963\n",
       "9        creative       143          610.995790\n",
       "10  beyondbitcoin       816          609.597186\n",
       "11          china        49          605.306388\n",
       "12         recipe       161          587.820820\n",
       "13     government       104          578.813019\n",
       "14      anarchism       295          568.976651\n",
       "15          girls       127          507.826693\n",
       "16            fun       246          470.909626\n",
       "17        recipes       256          466.744328\n",
       "18       painting       237          466.703169\n",
       "19       tutorial       132          452.375341"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Tag', 'Comments', 'payout_per_comment']] \\\n",
    "    .sort_values(by='payout_per_comment', ascending=False) \\\n",
    "    .head(20) \\\n",
    "    .reset_index() \\\n",
    "    .drop('index', axis=1)"
   ]
  }
 ],
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## tags.csv

          
            Tag
            Posts
            Comments
            Payouts

            
              aceh
              4399
              805
              55180.578

            
              adventure
              1474
              494
              147060.430

            
              advice
              554
              210
              21937.755

            
              altcoin
              627
              105
              19558.774

            
              amazing
              617
              85
              2204.555

            
              anarchism
              689
              295
              167848.112

            
              anarchy
              1532
              808
              256214.692

            
              animal
              1187
              343
              21540.648

            
              animals
              2627
              1451
              110752.281

            
              anime
              422
              225
              10960.879

            
              art
              17539
              19980
              1341903.326

            
              beach
              540
              65
              27766.871

            
              beautiful
              614
              120
              6860.379

            
              beauty
              1640
              280
              126496.800

            
              beer
              338
              403
              29739.395

            
              beyondbitcoin
              994
              816
              497431.304

            
              bitcoin
              14030
              15590
              1105452.784

            
              bitshares
              286
              1709
              316177.532

            
              blockchain
              3844
              1419
              635579.603

            
              blog
              16003
              4417
              1181637.707

            
              books
              441
              308
              61825.975

            
              btc
              741
              163
              12859.684

            
              business
              1657
              816
              217511.639

            
              bwphotocontest
              229
              1190
              12561.579

            
              cannabis
              543
              921
              53539.717

            
              car
              298
              212
              5631.059

            
              cars
              468
              455
              25409.328

            
              cat
              568
              287
              11469.793

            
              cats
              505
              275
              17370.268

            
              chainbb-general
              185
              348
              33884.532

            
              challenge
              423
              1261
              44254.719

            
              charlesfuchs
              8
              553
              2537.340

            
              china
              501
              49
              29660.013

            
              christian-trail
              504
              640
              11048.806

            
              christianity
              736
              572
              15574.482

            
              cn
              2536
              5767
              361780.630

            
              coffee
              407
              183
              49149.688

            
              coinkorea
              481
              999
              163229.686

            
              colorchallenge
              2284
              8335
              48851.315

            
              comedy
              991
              237
              27203.154

            
              comics
              388
              206
              20235.852

            
              community
              1499
              683
              206906.366

            
              conspiracy
              472
              169
              23847.990

            
              contest
              1228
              3574
              139889.458

            
              cooking
              517
              220
              59971.310

            
              creative
              1183
              143
              87372.398

            
              creativity
              2090
              163
              241558.309

            
              crypto
              3969
              1450
              176196.767

            
              crypto-news
              984
              925
              321450.374

            
              cryptocurrencies
              493
              195
              20361.108

            
              cryptocurrency
              9746
              10165
              789074.441

            
              culture
              996
              852
              66622.763

            
              curation
              371
              1089
              136633.318

            
              dash
              410
              202
              42192.666

            
              design
              915
              290
              91025.146

            
              deutsch
              1448
              2217
              168051.128

            
              dog
              482
              152
              9262.971

            
              dogs
              446
              253
              16222.141

            
              drawing
              2535
              1528
              212819.021

            
              economics
              470
              355
              124223.105

            
              economy
              655
              219
              56383.633

            
              education
              1387
              547
              140436.231

            
              english
              359
              185
              5410.174

            
              entertainment
              1433
              206
              42935.620

            
              eos
              362
              962
              91068.598

            
              esteem
              668
              1083
              67363.748

            
              ethereum
              3221
              1537
              265035.964

            
              facebook
              375
              130
              32082.283

            
              family
              1290
              500
              144604.796

            
              fashion
              517
              154
              43996.583

            
              fiction
              1641
              1115
              303161.436

            
              film
              646
              297
              54721.035

            
              finance
              667
              48
              58505.813

            
              fitness
              752
              367
              36192.436

            
              flower
              839
              235
              13916.207

            
              flowers
              1272
              307
              57645.753

            
              food
              7042
              14768
              735051.099

            
              football
              688
              261
              17002.409

            
              fr
              373
              589
              9256.576

            
              free
              688
              157
              18369.636

            
              freedom
              2292
              778
              214809.421

            
              fun
              2418
              246
              115843.768

            
              funny
              9442
              7231
              494393.620

            
              future
              491
              35
              47194.747

            
              game
              924
              293
              53144.406

            
              games
              940
              186
              54964.549

            
              gaming
              2013
              2444
              180458.404

            
              garden
              440
              317
              46548.767

            
              gardening
              595
              1509
              98113.930

            
              girls
              587
              127
              64493.990

            
              giveaway
              339
              1074
              34806.163

            
              gold
              728
              192
              36193.146

            
              good
              244
              257
              1008.854

            
              googly
              1
              534
              0.000

            
              government
              640
              104
              60196.554

            
              gridcoin
              75
              573
              23944.686

            
              halo
              87
              466
              13229.228

            
              happy
              580
              99
              11250.301

            
              health
              5496
              4800
              454570.081

            
              help
              859
              311
              100992.630

            
              history
              3061
              1041
              161229.205

            
              homesteading
              272
              995
              22335.768

            
              hot
              1170
              166
              7249.259

            
              howto
              945
              464
              137295.378

            
              humor
              1767
              415
              66399.572

            
              ico
              689
              267
              39674.650

            
              india
              735
              351
              35054.460

            
              indonesia
              3108
              3261
              55085.841

            
              inspiration
              888
              189
              78854.956

            
              internet
              443
              119
              24425.940

            
              introduce
              491
              531
              45544.388

            
              introducemyself
              1153
              2588
              92269.677

            
              introduceyourself
              4430
              30064
              1359060.956

            
              introduction
              872
              1111
              114729.497

            
              investing
              1088
              250
              78097.431

            
              investment
              670
              154
              35024.943

            
              japan
              503
              239
              41895.251

            
              japanese
              560
              1091
              38030.514

            
              joke
              453
              63
              4527.629

            
              kr
              4783
              33232
              753840.088

            
              kr-hobby
              101
              544
              1503.031

            
              kr-join
              242
              474
              16798.434

            
              kr-life
              296
              215
              3795.307

            
              kr-market
              114
              404
              6499.382

            
              kr-newbie
              1714
              1842
              196046.016

            
              kr-writing
              355
              388
              17539.840

            
              ksi
              553
              32
              319.016

            
              life
              42928
              26936
              4091146.216

            
              lifestyle
              1098
              192
              61300.064

            
              litecoin
              542
              285
              22993.615

            
              live
              680
              123
              21600.081

            
              lol
              476
              40
              4348.751

            
              love
              4614
              1258
              155903.609

            
              marijuana
              705
              550
              134339.539

            
              market
              689
              153
              68736.114

            
              marketing
              560
              142
              153503.448

            
              meetup
              112
              576
              72100.266

            
              meme
              3543
              1647
              60599.722

            
              memechallenge
              701
              1113
              17106.962

            
              memes
              533
              79
              9910.007

            
              mining
              898
              422
              56092.265

            
              minnowsunite
              1335
              170
              251454.355

            
              minnowsupport
              1039
              955
              34094.202

            
              minnowsupportproject
              398
              1211
              41710.351

            
              money
              9270
              3996
              798520.352

            
              monochromemonday
              125
              638
              4799.298

            
              monomad
              183
              1097
              131.109

            
              motivation
              1411
              782
              87370.625

            
              movie
              760
              286
              41548.553

            
              movies
              774
              316
              39565.457

            
              muksteem
              200
              766
              13171.117

            
              music
              5519
              4993
              369530.443

            
              myanmar
              640
              587
              2336.467

            
              natural
              782
              194
              8806.673

            
              nature
              11159
              4020
              534780.059

            
              new
              2015
              658
              47405.389

            
              newbie
              366
              158
              29169.646

            
              news
              11453
              4551
              642534.212

            
              newslink
              569
              65
              10606.924

            
              norway
              337
              793
              35160.078

            
              nsfw
              1106
              895
              48037.449

            
              openmic
              214
              2074
              42776.951

            
              originalmusic
              346
              224
              26395.836

            
              painting
              1463
              237
              110608.651

            
              parenting
              238
              273
              52502.753

            
              people
              782
              87
              14788.129

            
              pets
              410
              110
              17787.486

            
              philosophy
              2674
              2191
              398479.403

            
              photo
              2345
              1000
              53422.195

            
              photograph
              297
              373
              6618.002

            
              photography
              28879
              39538
              1976826.244

            
              photos
              802
              156
              30001.376

            
              picture
              718
              64
              8047.183

            
              pizzagate
              259
              370
              12531.193

            
              poem
              1080
              418
              40762.653

            
              poetry
              3516
              3805
              212221.188

            
              poker
              138
              390
              19654.129

            
              polish
              277
              760
              14431.136

            
              politics
              4339
              2550
              303013.235

            
              porn
              424
              69
              10364.836

            
              portraitcontest
              100
              407
              4097.434

            
              programming
              518
              371
              79637.437

            
              psychology
              1621
              1024
              314510.719

            
              quote
              427
              154
              2913.892

            
              recipe
              957
              161
              94639.152

            
              recipes
              572
              256
              119486.548

            
              religion
              1234
              899
              57631.594

            
              review
              857
              66
              67904.047

            
              ru
              1297
              1395
              90708.767

            
              science
              3546
              2936
              428869.746

            
              security
              530
              215
              187187.476

            
              sex
              808
              226
              30303.184

            
              silver
              543
              344
              18437.675

            
              space
              767
              465
              45707.517

            
              spam
              510
              192
              6486.411

            
              spanish
              5735
              10830
              239680.551

            
              spirituality
              526
              265
              47227.700

            
              sport
              1008
              325
              34236.626

            
              sports
              1950
              1341
              117423.761

            
              stats
              402
              190
              119106.813

            
              steem
              10607
              8939
              2684058.774

            
              steem-help
              211
              477
              99065.872

            
              steem-pocalypse
              38
              1538
              15648.192

            
              steemfest
              125
              470
              115740.474

            
              steemit
              28855
              43884
              4009947.646

            
              steemit-health
              291
              3405
              17289.537

            
              steemitphotochallenge
              1469
              1945
              73690.782

            
              steemsilvergold
              185
              936
              1939.456

            
              steemvoter
              114
              733
              28748.952

            
              steepshot
              443
              298
              14131.236

            
              story
              10221
              3267
              1041065.561

            
              success
              660
              126
              41214.672

            
              summer
              427
              66
              12205.717

            
              sunset
              552
              167
              14140.581

            
              teamaustralia
              410
              518
              37246.883

            
              teamphilippines
              436
              191
              3854.242

            
              tech
              509
              74
              8955.908

            
              technology
              3493
              1968
              263796.648

            
              test
              1037
              777
              5020.917

            
              til
              274
              280
              39104.578

            
              tips
              392
              102
              15975.580

            
              tr
              375
              463
              46081.386

            
              trading
              1558
              1086
              166946.210

            
              travel
              11476
              16838
              1222957.818

            
              trending
              772
              181
              9482.859

            
              trevonjb
              161
              847
              19595.301

            
              trump
              1013
              186
              26881.364

            
              truth
              585
              276
              16601.998

            
              tsufamily
              413
              217
              2924.422

            
              tutorial
              463
              132
              59713.545

            
              tv
              797
              377
              5907.149

            
              upvote
              455
              228
              6595.810

            
              usa
              481
              64
              16560.779

            
              vaccines
              59
              744
              12941.749

            
              vegan
              403
              302
              20721.615

            
              venezuela
              1122
              408
              21313.700

            
              video
              4452
              1036
              254281.978

            
              viewly
              34
              527
              864.973

            
              vlog
              278
              553
              29656.194

            
              war
              552
              230
              36329.779

            
              welcome
              234
              1885
              6145.320

            
              whalepower
              1266
              817
              37137.332

            
              whaleshares
              254
              646
              59443.392

            
              witness-category
              113
              1205
              95422.710

            
              work
              523
              87
              55094.373

            
              world
              903
              115
              14828.777

            
              writing
              8431
              3031
              1149030.043

            
              youtube
              1519
              251
              61784.176

            
              yunk
              310
              818
              1260.382
Tag	Posts	Comments	Payouts
aceh	4399	805	55180.578
adventure	1474	494	147060.430
advice	554	210	21937.755
altcoin	627	105	19558.774
amazing	617	85	2204.555
anarchism	689	295	167848.112
anarchy	1532	808	256214.692
animal	1187	343	21540.648
animals	2627	1451	110752.281
anime	422	225	10960.879
art	17539	19980	1341903.326
beach	540	65	27766.871
beautiful	614	120	6860.379
beauty	1640	280	126496.800
beer	338	403	29739.395
beyondbitcoin	994	816	497431.304
bitcoin	14030	15590	1105452.784
bitshares	286	1709	316177.532
blockchain	3844	1419	635579.603
blog	16003	4417	1181637.707
books	441	308	61825.975
btc	741	163	12859.684
business	1657	816	217511.639
bwphotocontest	229	1190	12561.579
cannabis	543	921	53539.717
car	298	212	5631.059
cars	468	455	25409.328
cat	568	287	11469.793
cats	505	275	17370.268
chainbb-general	185	348	33884.532
challenge	423	1261	44254.719
charlesfuchs	8	553	2537.340
china	501	49	29660.013
christian-trail	504	640	11048.806
christianity	736	572	15574.482
cn	2536	5767	361780.630
coffee	407	183	49149.688
coinkorea	481	999	163229.686
colorchallenge	2284	8335	48851.315
comedy	991	237	27203.154
comics	388	206	20235.852
community	1499	683	206906.366
conspiracy	472	169	23847.990
contest	1228	3574	139889.458
cooking	517	220	59971.310
creative	1183	143	87372.398
creativity	2090	163	241558.309
crypto	3969	1450	176196.767
crypto-news	984	925	321450.374
cryptocurrencies	493	195	20361.108
cryptocurrency	9746	10165	789074.441
culture	996	852	66622.763
curation	371	1089	136633.318
dash	410	202	42192.666
design	915	290	91025.146
deutsch	1448	2217	168051.128
dog	482	152	9262.971
dogs	446	253	16222.141
drawing	2535	1528	212819.021
economics	470	355	124223.105
economy	655	219	56383.633
education	1387	547	140436.231
english	359	185	5410.174
entertainment	1433	206	42935.620
eos	362	962	91068.598
esteem	668	1083	67363.748
ethereum	3221	1537	265035.964
facebook	375	130	32082.283
family	1290	500	144604.796
fashion	517	154	43996.583
fiction	1641	1115	303161.436
film	646	297	54721.035
finance	667	48	58505.813
fitness	752	367	36192.436
flower	839	235	13916.207
flowers	1272	307	57645.753
food	7042	14768	735051.099
football	688	261	17002.409
fr	373	589	9256.576
free	688	157	18369.636
freedom	2292	778	214809.421
fun	2418	246	115843.768
funny	9442	7231	494393.620
future	491	35	47194.747
game	924	293	53144.406
games	940	186	54964.549
gaming	2013	2444	180458.404
garden	440	317	46548.767
gardening	595	1509	98113.930
girls	587	127	64493.990
giveaway	339	1074	34806.163
gold	728	192	36193.146
good	244	257	1008.854
googly	1	534	0.000
government	640	104	60196.554
gridcoin	75	573	23944.686
halo	87	466	13229.228
happy	580	99	11250.301
health	5496	4800	454570.081
help	859	311	100992.630
history	3061	1041	161229.205
homesteading	272	995	22335.768
hot	1170	166	7249.259
howto	945	464	137295.378
humor	1767	415	66399.572
ico	689	267	39674.650
india	735	351	35054.460
indonesia	3108	3261	55085.841
inspiration	888	189	78854.956
internet	443	119	24425.940
introduce	491	531	45544.388
introducemyself	1153	2588	92269.677
introduceyourself	4430	30064	1359060.956
introduction	872	1111	114729.497
investing	1088	250	78097.431
investment	670	154	35024.943
japan	503	239	41895.251
japanese	560	1091	38030.514
joke	453	63	4527.629
kr	4783	33232	753840.088
kr-hobby	101	544	1503.031
kr-join	242	474	16798.434
kr-life	296	215	3795.307
kr-market	114	404	6499.382
kr-newbie	1714	1842	196046.016
kr-writing	355	388	17539.840
ksi	553	32	319.016
life	42928	26936	4091146.216
lifestyle	1098	192	61300.064
litecoin	542	285	22993.615
live	680	123	21600.081
lol	476	40	4348.751
love	4614	1258	155903.609
marijuana	705	550	134339.539
market	689	153	68736.114
marketing	560	142	153503.448
meetup	112	576	72100.266
meme	3543	1647	60599.722
memechallenge	701	1113	17106.962
memes	533	79	9910.007
mining	898	422	56092.265
minnowsunite	1335	170	251454.355
minnowsupport	1039	955	34094.202
minnowsupportproject	398	1211	41710.351
money	9270	3996	798520.352
monochromemonday	125	638	4799.298
monomad	183	1097	131.109
motivation	1411	782	87370.625
movie	760	286	41548.553
movies	774	316	39565.457
muksteem	200	766	13171.117
music	5519	4993	369530.443
myanmar	640	587	2336.467
natural	782	194	8806.673
nature	11159	4020	534780.059
new	2015	658	47405.389
newbie	366	158	29169.646
news	11453	4551	642534.212
newslink	569	65	10606.924
norway	337	793	35160.078
nsfw	1106	895	48037.449
openmic	214	2074	42776.951
originalmusic	346	224	26395.836
painting	1463	237	110608.651
parenting	238	273	52502.753
people	782	87	14788.129
pets	410	110	17787.486
philosophy	2674	2191	398479.403
photo	2345	1000	53422.195
photograph	297	373	6618.002
photography	28879	39538	1976826.244
photos	802	156	30001.376
picture	718	64	8047.183
pizzagate	259	370	12531.193
poem	1080	418	40762.653
poetry	3516	3805	212221.188
poker	138	390	19654.129
polish	277	760	14431.136
politics	4339	2550	303013.235
porn	424	69	10364.836
portraitcontest	100	407	4097.434
programming	518	371	79637.437
psychology	1621	1024	314510.719
quote	427	154	2913.892
recipe	957	161	94639.152
recipes	572	256	119486.548
religion	1234	899	57631.594
review	857	66	67904.047
ru	1297	1395	90708.767
science	3546	2936	428869.746
security	530	215	187187.476
sex	808	226	30303.184
silver	543	344	18437.675
space	767	465	45707.517
spam	510	192	6486.411
spanish	5735	10830	239680.551
spirituality	526	265	47227.700
sport	1008	325	34236.626
sports	1950	1341	117423.761
stats	402	190	119106.813
steem	10607	8939	2684058.774
steem-help	211	477	99065.872
steem-pocalypse	38	1538	15648.192
steemfest	125	470	115740.474
steemit	28855	43884	4009947.646
steemit-health	291	3405	17289.537
steemitphotochallenge	1469	1945	73690.782
steemsilvergold	185	936	1939.456
steemvoter	114	733	28748.952
steepshot	443	298	14131.236
story	10221	3267	1041065.561
success	660	126	41214.672
summer	427	66	12205.717
sunset	552	167	14140.581
teamaustralia	410	518	37246.883
teamphilippines	436	191	3854.242
tech	509	74	8955.908
technology	3493	1968	263796.648
test	1037	777	5020.917
til	274	280	39104.578
tips	392	102	15975.580
tr	375	463	46081.386
trading	1558	1086	166946.210
travel	11476	16838	1222957.818
trending	772	181	9482.859
trevonjb	161	847	19595.301
trump	1013	186	26881.364
truth	585	276	16601.998
tsufamily	413	217	2924.422
tutorial	463	132	59713.545
tv	797	377	5907.149
upvote	455	228	6595.810
usa	481	64	16560.779
vaccines	59	744	12941.749
vegan	403	302	20721.615
venezuela	1122	408	21313.700
video	4452	1036	254281.978
viewly	34	527	864.973
vlog	278	553	29656.194
war	552	230	36329.779
welcome	234	1885	6145.320
whalepower	1266	817	37137.332
whaleshares	254	646	59443.392
witness-category	113	1205	95422.710
work	523	87	55094.373
world	903	115	14828.777
writing	8431	3031	1149030.043
youtube	1519	251	61784.176
yunk	310	818	1260.382