Data_Exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "117eb0a7",
   "metadata": {},
   "source": [
    "# Eluvio Data Science Challenge\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3250b31e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a060553",
   "metadata": {},
   "source": [
    "## open data file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "85aace55",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('Eluvio_DS_Challenge.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ef756043",
   "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>time_created</th>\n",
       "      <th>date_created</th>\n",
       "      <th>up_votes</th>\n",
       "      <th>down_votes</th>\n",
       "      <th>title</th>\n",
       "      <th>over_18</th>\n",
       "      <th>author</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1201232046</td>\n",
       "      <td>2008-01-25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Scores killed in Pakistan clashes</td>\n",
       "      <td>False</td>\n",
       "      <td>polar</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1201232075</td>\n",
       "      <td>2008-01-25</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Japan resumes refuelling mission</td>\n",
       "      <td>False</td>\n",
       "      <td>polar</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1201232523</td>\n",
       "      <td>2008-01-25</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>US presses Egypt on Gaza border</td>\n",
       "      <td>False</td>\n",
       "      <td>polar</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1201233290</td>\n",
       "      <td>2008-01-25</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Jump-start economy: Give health care to all</td>\n",
       "      <td>False</td>\n",
       "      <td>fadi420</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1201274720</td>\n",
       "      <td>2008-01-25</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Council of Europe bashes EU&amp;UN terror blacklist</td>\n",
       "      <td>False</td>\n",
       "      <td>mhermans</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509231</th>\n",
       "      <td>1479816764</td>\n",
       "      <td>2016-11-22</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Heil Trump : Donald Trump s  alt-right  white...</td>\n",
       "      <td>False</td>\n",
       "      <td>nonamenoglory</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509232</th>\n",
       "      <td>1479816772</td>\n",
       "      <td>2016-11-22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>There are people speculating that this could b...</td>\n",
       "      <td>False</td>\n",
       "      <td>SummerRay</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509233</th>\n",
       "      <td>1479817056</td>\n",
       "      <td>2016-11-22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Professor receives Arab Researchers Award</td>\n",
       "      <td>False</td>\n",
       "      <td>AUSharjah</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509234</th>\n",
       "      <td>1479817157</td>\n",
       "      <td>2016-11-22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Nigel Farage attacks response to Trump ambassa...</td>\n",
       "      <td>False</td>\n",
       "      <td>smilyflower</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509235</th>\n",
       "      <td>1479817346</td>\n",
       "      <td>2016-11-22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Palestinian wielding knife shot dead in West B...</td>\n",
       "      <td>False</td>\n",
       "      <td>superislam</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>509236 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        time_created date_created  up_votes  down_votes  \\\n",
       "0         1201232046   2008-01-25         3           0   \n",
       "1         1201232075   2008-01-25         2           0   \n",
       "2         1201232523   2008-01-25         3           0   \n",
       "3         1201233290   2008-01-25         1           0   \n",
       "4         1201274720   2008-01-25         4           0   \n",
       "...              ...          ...       ...         ...   \n",
       "509231    1479816764   2016-11-22         5           0   \n",
       "509232    1479816772   2016-11-22         1           0   \n",
       "509233    1479817056   2016-11-22         1           0   \n",
       "509234    1479817157   2016-11-22         1           0   \n",
       "509235    1479817346   2016-11-22         1           0   \n",
       "\n",
       "                                                    title  over_18  \\\n",
       "0                       Scores killed in Pakistan clashes    False   \n",
       "1                        Japan resumes refuelling mission    False   \n",
       "2                         US presses Egypt on Gaza border    False   \n",
       "3            Jump-start economy: Give health care to all     False   \n",
       "4         Council of Europe bashes EU&UN terror blacklist    False   \n",
       "...                                                   ...      ...   \n",
       "509231   Heil Trump : Donald Trump s  alt-right  white...    False   \n",
       "509232  There are people speculating that this could b...    False   \n",
       "509233          Professor receives Arab Researchers Award    False   \n",
       "509234  Nigel Farage attacks response to Trump ambassa...    False   \n",
       "509235  Palestinian wielding knife shot dead in West B...    False   \n",
       "\n",
       "               author   category  \n",
       "0               polar  worldnews  \n",
       "1               polar  worldnews  \n",
       "2               polar  worldnews  \n",
       "3             fadi420  worldnews  \n",
       "4            mhermans  worldnews  \n",
       "...               ...        ...  \n",
       "509231  nonamenoglory  worldnews  \n",
       "509232      SummerRay  worldnews  \n",
       "509233      AUSharjah  worldnews  \n",
       "509234    smilyflower  worldnews  \n",
       "509235     superislam  worldnews  \n",
       "\n",
       "[509236 rows x 8 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f4ddc08",
   "metadata": {},
   "source": [
    "### They look like Reddit posts! "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf12e577",
   "metadata": {},
   "source": [
    "## Let's explore each feature one at a time"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a6190d9",
   "metadata": {},
   "source": [
    "### time_created "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "ae2433eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#convert to UTC\n",
    "from datetime import datetime\n",
    "\n",
    "#just the time, date will be in the next feature\n",
    "creation_times = np.array([datetime.utcfromtimestamp(time_created).time().hour for time_created in data['time_created']])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "ed0a4c54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(creation_times, bins=24)\n",
    "plt.xlabel('Time Posted (UTC)')\n",
    "plt.ylabel('Number of posts')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc18170a",
   "metadata": {},
   "source": [
    "### date_created "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "f7c6e554",
   "metadata": {},
   "outputs": [],
   "source": [
    "creation_dates = np.array([datetime.utcfromtimestamp(time_created) for time_created in data['time_created']])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "74a5e4df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(creation_dates, bins=200)\n",
    "plt.xlabel('Date Posted')\n",
    "plt.ylabel('Number of posts')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "736609a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([date.weekday() for date in creation_dates], bins=7)\n",
    "plt.xlabel('Day of the week')\n",
    "plt.ylabel('Number of posts')\n",
    "plt.xticks(ticks=range(7),labels=['Monday','Tuesday','Wednesday','Thrusday','Friday','Saturday','Sunday'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fed1ad4",
   "metadata": {},
   "source": [
    "### up / down votes "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "02ddf0da",
   "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>time_created</th>\n",
       "      <th>date_created</th>\n",
       "      <th>up_votes</th>\n",
       "      <th>down_votes</th>\n",
       "      <th>title</th>\n",
       "      <th>over_18</th>\n",
       "      <th>author</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>377200</th>\n",
       "      <td>1434818471</td>\n",
       "      <td>2015-06-20</td>\n",
       "      <td>21253</td>\n",
       "      <td>0</td>\n",
       "      <td>A biotech startup has managed to 3-D print fak...</td>\n",
       "      <td>False</td>\n",
       "      <td>KRISHNA53</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391415</th>\n",
       "      <td>1440421079</td>\n",
       "      <td>2015-08-24</td>\n",
       "      <td>13435</td>\n",
       "      <td>0</td>\n",
       "      <td>Twitter has forced 30 websites that archive po...</td>\n",
       "      <td>False</td>\n",
       "      <td>joeyoungblood</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450818</th>\n",
       "      <td>1459706506</td>\n",
       "      <td>2016-04-03</td>\n",
       "      <td>13244</td>\n",
       "      <td>0</td>\n",
       "      <td>2.6 terabyte leak of Panamanian shell company ...</td>\n",
       "      <td>False</td>\n",
       "      <td>mister_geaux</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391318</th>\n",
       "      <td>1440367768</td>\n",
       "      <td>2015-08-23</td>\n",
       "      <td>12333</td>\n",
       "      <td>0</td>\n",
       "      <td>The police officer who leaked the footage of t...</td>\n",
       "      <td>False</td>\n",
       "      <td>navysealassulter</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390252</th>\n",
       "      <td>1439939168</td>\n",
       "      <td>2015-08-18</td>\n",
       "      <td>11288</td>\n",
       "      <td>0</td>\n",
       "      <td>Paris shooting survivor suing French media for...</td>\n",
       "      <td>False</td>\n",
       "      <td>seapiglet</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220099</th>\n",
       "      <td>1381644882</td>\n",
       "      <td>2013-10-13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Chinese Premier Li Keqiang has been granted th...</td>\n",
       "      <td>False</td>\n",
       "      <td>davidreiss666</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431262</th>\n",
       "      <td>1453107414</td>\n",
       "      <td>2016-01-18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Taliban denies role in latest Afghanistan bombing</td>\n",
       "      <td>False</td>\n",
       "      <td>raziinuaq</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220101</th>\n",
       "      <td>1381645228</td>\n",
       "      <td>2013-10-13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Possible lead in Madeleine McCann case</td>\n",
       "      <td>False</td>\n",
       "      <td>CristabelYYC</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431259</th>\n",
       "      <td>1453107145</td>\n",
       "      <td>2016-01-18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Suicide Attack Kills at Least 13 in Afghanistan</td>\n",
       "      <td>False</td>\n",
       "      <td>middleeastnewsman</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254618</th>\n",
       "      <td>1392908762</td>\n",
       "      <td>2014-02-20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ukraine protesters take 67 policemen hostage -...</td>\n",
       "      <td>False</td>\n",
       "      <td>mystikalhereigo</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>509236 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        time_created date_created  up_votes  down_votes  \\\n",
       "377200    1434818471   2015-06-20     21253           0   \n",
       "391415    1440421079   2015-08-24     13435           0   \n",
       "450818    1459706506   2016-04-03     13244           0   \n",
       "391318    1440367768   2015-08-23     12333           0   \n",
       "390252    1439939168   2015-08-18     11288           0   \n",
       "...              ...          ...       ...         ...   \n",
       "220099    1381644882   2013-10-13         0           0   \n",
       "431262    1453107414   2016-01-18         0           0   \n",
       "220101    1381645228   2013-10-13         0           0   \n",
       "431259    1453107145   2016-01-18         0           0   \n",
       "254618    1392908762   2014-02-20         0           0   \n",
       "\n",
       "                                                    title  over_18  \\\n",
       "377200  A biotech startup has managed to 3-D print fak...    False   \n",
       "391415  Twitter has forced 30 websites that archive po...    False   \n",
       "450818  2.6 terabyte leak of Panamanian shell company ...    False   \n",
       "391318  The police officer who leaked the footage of t...    False   \n",
       "390252  Paris shooting survivor suing French media for...    False   \n",
       "...                                                   ...      ...   \n",
       "220099  Chinese Premier Li Keqiang has been granted th...    False   \n",
       "431262  Taliban denies role in latest Afghanistan bombing    False   \n",
       "220101             Possible lead in Madeleine McCann case    False   \n",
       "431259    Suicide Attack Kills at Least 13 in Afghanistan    False   \n",
       "254618  Ukraine protesters take 67 policemen hostage -...    False   \n",
       "\n",
       "                   author   category  \n",
       "377200          KRISHNA53  worldnews  \n",
       "391415      joeyoungblood  worldnews  \n",
       "450818       mister_geaux  worldnews  \n",
       "391318   navysealassulter  worldnews  \n",
       "390252          seapiglet  worldnews  \n",
       "...                   ...        ...  \n",
       "220099      davidreiss666  worldnews  \n",
       "431262          raziinuaq  worldnews  \n",
       "220101       CristabelYYC  worldnews  \n",
       "431259  middleeastnewsman  worldnews  \n",
       "254618    mystikalhereigo  worldnews  \n",
       "\n",
       "[509236 rows x 8 columns]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sort_values('up_votes',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "e6b3317a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data['up_votes'], bins =50)\n",
    "plt.semilogy()\n",
    "plt.xlabel('Number of upvotes')\n",
    "plt.ylabel('Number of posts')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "9b0d3034",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data['up_votes']+1, bins =np.logspace(0,5,15))\n",
    "# plt.loglog()\n",
    "plt.semilogx()\n",
    "plt.xlabel('Number of upvotes')\n",
    "plt.ylabel('Number of posts')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9dcbc29",
   "metadata": {},
   "source": [
    "all `down_votes` are `0`. not a useful feature"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36a124ff",
   "metadata": {},
   "source": [
    "### NSFW "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5dd9f772",
   "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>time_created</th>\n",
       "      <th>date_created</th>\n",
       "      <th>up_votes</th>\n",
       "      <th>down_votes</th>\n",
       "      <th>title</th>\n",
       "      <th>over_18</th>\n",
       "      <th>author</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1885</th>\n",
       "      <td>1206381438</td>\n",
       "      <td>2008-03-24</td>\n",
       "      <td>189</td>\n",
       "      <td>0</td>\n",
       "      <td>Pics from the Tibetan protests - more graphic ...</td>\n",
       "      <td>True</td>\n",
       "      <td>pressed</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6721</th>\n",
       "      <td>1211138718</td>\n",
       "      <td>2008-05-18</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>MI5 linked to Max Mosley’s Nazi-style, sadomas...</td>\n",
       "      <td>True</td>\n",
       "      <td>alllie</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8414</th>\n",
       "      <td>1212694925</td>\n",
       "      <td>2008-06-05</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tabloid Horrifies Germany: Poland s Yellow Pre...</td>\n",
       "      <td>True</td>\n",
       "      <td>stesch</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12163</th>\n",
       "      <td>1216672016</td>\n",
       "      <td>2008-07-21</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Love Parade Dortmund: Techno Festival Breaks R...</td>\n",
       "      <td>True</td>\n",
       "      <td>stesch</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12699</th>\n",
       "      <td>1217381380</td>\n",
       "      <td>2008-07-30</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>IDF kills young Palestinian boy. Potentially N...</td>\n",
       "      <td>True</td>\n",
       "      <td>cup</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503776</th>\n",
       "      <td>1477889966</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Latest Italian Earthquake Devastates Medieval ...</td>\n",
       "      <td>True</td>\n",
       "      <td>pixelinthe</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508067</th>\n",
       "      <td>1479400229</td>\n",
       "      <td>2016-11-17</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>ISIS Release Video Showing Melbourne As A Poss...</td>\n",
       "      <td>True</td>\n",
       "      <td>halacska</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508176</th>\n",
       "      <td>1479434681</td>\n",
       "      <td>2016-11-18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Animal welfare activists have released footage...</td>\n",
       "      <td>True</td>\n",
       "      <td>NinjaDiscoJesus</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508376</th>\n",
       "      <td>1479492875</td>\n",
       "      <td>2016-11-18</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Jungle Justice : Public lynching of a street ...</td>\n",
       "      <td>True</td>\n",
       "      <td>avivi_</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508706</th>\n",
       "      <td>1479641575</td>\n",
       "      <td>2016-11-20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>[NSFW] Teenage boy run over by  Iraqi army tan...</td>\n",
       "      <td>True</td>\n",
       "      <td>atyzer</td>\n",
       "      <td>worldnews</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>320 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        time_created date_created  up_votes  down_votes  \\\n",
       "1885      1206381438   2008-03-24       189           0   \n",
       "6721      1211138718   2008-05-18         5           0   \n",
       "8414      1212694925   2008-06-05         0           0   \n",
       "12163     1216672016   2008-07-21         0           0   \n",
       "12699     1217381380   2008-07-30         5           0   \n",
       "...              ...          ...       ...         ...   \n",
       "503776    1477889966   2016-10-31         4           0   \n",
       "508067    1479400229   2016-11-17        12           0   \n",
       "508176    1479434681   2016-11-18         0           0   \n",
       "508376    1479492875   2016-11-18         6           0   \n",
       "508706    1479641575   2016-11-20         0           0   \n",
       "\n",
       "                                                    title  over_18  \\\n",
       "1885    Pics from the Tibetan protests - more graphic ...     True   \n",
       "6721    MI5 linked to Max Mosley’s Nazi-style, sadomas...     True   \n",
       "8414    Tabloid Horrifies Germany: Poland s Yellow Pre...     True   \n",
       "12163   Love Parade Dortmund: Techno Festival Breaks R...     True   \n",
       "12699   IDF kills young Palestinian boy. Potentially N...     True   \n",
       "...                                                   ...      ...   \n",
       "503776  Latest Italian Earthquake Devastates Medieval ...     True   \n",
       "508067  ISIS Release Video Showing Melbourne As A Poss...     True   \n",
       "508176  Animal welfare activists have released footage...     True   \n",
       "508376   Jungle Justice : Public lynching of a street ...     True   \n",
       "508706  [NSFW] Teenage boy run over by  Iraqi army tan...     True   \n",
       "\n",
       "                 author   category  \n",
       "1885            pressed  worldnews  \n",
       "6721             alllie  worldnews  \n",
       "8414             stesch  worldnews  \n",
       "12163            stesch  worldnews  \n",
       "12699               cup  worldnews  \n",
       "...                 ...        ...  \n",
       "503776       pixelinthe  worldnews  \n",
       "508067         halacska  worldnews  \n",
       "508176  NinjaDiscoJesus  worldnews  \n",
       "508376           avivi_  worldnews  \n",
       "508706           atyzer  worldnews  \n",
       "\n",
       "[320 rows x 8 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nsfw_mask = data['over_18'] == True\n",
    "\n",
    "data[nsfw_mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "b01083cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.06% of posts are NSFW\n"
     ]
    }
   ],
   "source": [
    "n_NSFW = len(data[nsfw_mask])\n",
    "percent_NSFW = round(100*n_NSFW/len(data), 2)\n",
    "\n",
    "print('{0}% of posts are NSFW'.format(percent_NSFW) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "fcfa2ad0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data['up_votes'][~nsfw_mask], bins =50, label='SFW')\n",
    "plt.hist(data['up_votes'][nsfw_mask], bins =5, alpha=0.5, label='NSFW')\n",
    "\n",
    "plt.semilogy()\n",
    "plt.xlabel('Number of upvotes')\n",
    "plt.ylabel('Number of posts')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20eb0a3e",
   "metadata": {},
   "source": [
    "#### create random subsamples of SFW to see if distributions are distinct "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "b6052be3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "random_subsamples = [np.random.choice(data['up_votes'][~nsfw_mask].values, size = len(data['up_votes'][nsfw_mask])) for i in range(10)]                    \n",
    "\n",
    "_, bins, _ = plt.hist(data['up_votes'][nsfw_mask], bins =5, label='NSFW', alpha=0.25)\n",
    "for subsample in random_subsamples:\n",
    "    plt.hist(subsample, bins =bins, alpha=0.75, label='SFW', histtype='step', linewidth=2)\n",
    "\n",
    "plt.semilogy()\n",
    "plt.xlabel('Number of upvotes')\n",
    "plt.ylabel('Number of posts')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5866ccd",
   "metadata": {},
   "source": [
    "at first glance, NSFW distribution seems to be distinct from SFW one. NSFW posts seem to receive more upvotes, but there are no NSFW posts with >8000 upvotes, possibly because of smaller sample. first bin contains most of the posts."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ca042bc",
   "metadata": {},
   "source": [
    "feature could provide info, but given such small number, it probably won't be useful."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44a831f0",
   "metadata": {},
   "source": [
    "### author "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "id": "cd790df2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                 polar\n",
       "1                 polar\n",
       "2                 polar\n",
       "3               fadi420\n",
       "4              mhermans\n",
       "              ...      \n",
       "509231    nonamenoglory\n",
       "509232        SummerRay\n",
       "509233        AUSharjah\n",
       "509234      smilyflower\n",
       "509235       superislam\n",
       "Name: author, Length: 509236, dtype: object"
      ]
     },
     "execution_count": 281,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['author']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "id": "b199ede8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "davidreiss666    8897\n",
       "anutensil        5730\n",
       "DoremusJessup    5037\n",
       "maxwellhill      4023\n",
       "igeldard         4013\n",
       "                 ... \n",
       "Yeahchalmers        1\n",
       "a_large_rock        1\n",
       "sdnil               1\n",
       "11milo11            1\n",
       "ahsareraeraa        1\n",
       "Name: author, Length: 85838, dtype: int64"
      ]
     },
     "execution_count": 286,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['author'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "id": "7d2d3bff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data['author'].value_counts(), bins=100)\n",
    "plt.semilogy()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "id": "d1ed227d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "author\n",
       "polar               23.020000\n",
       "fadi420              0.500000\n",
       "mhermans             4.000000\n",
       "Armagedonovich       9.000000\n",
       "Clythos              4.666667\n",
       "                      ...    \n",
       "moodyno              0.000000\n",
       "nanisa               2.000000\n",
       "calfellow            3.000000\n",
       "Randiathrowaway1     0.000000\n",
       "SummerRay            1.000000\n",
       "Name: up_votes, Length: 85838, dtype: float64"
      ]
     },
     "execution_count": 279,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby('author', sort=False).mean()['up_votes']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "id": "2d94c6a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "author_upvotes_counts = pd.concat([data.groupby('author', sort=False).mean()['up_votes'], data.groupby('author', sort=False).std()['up_votes'],data['author'].value_counts()], axis=1, keys=['mean_upvotes', 'std_upvotes','post_count'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "id": "44a87528",
   "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>mean_upvotes</th>\n",
       "      <th>std_upvotes</th>\n",
       "      <th>post_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>polar</th>\n",
       "      <td>23.020000</td>\n",
       "      <td>89.754197</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fadi420</th>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mhermans</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Armagedonovich</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>8.485281</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clythos</th>\n",
       "      <td>4.666667</td>\n",
       "      <td>1.861899</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>moodyno</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nanisa</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>calfellow</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Randiathrowaway1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SummerRay</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>85838 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  mean_upvotes  std_upvotes  post_count\n",
       "polar                23.020000    89.754197          50\n",
       "fadi420               0.500000     0.707107           2\n",
       "mhermans              4.000000          NaN           1\n",
       "Armagedonovich        9.000000     8.485281           2\n",
       "Clythos               4.666667     1.861899           6\n",
       "...                        ...          ...         ...\n",
       "moodyno               0.000000          NaN           1\n",
       "nanisa                2.000000          NaN           1\n",
       "calfellow             3.000000          NaN           1\n",
       "Randiathrowaway1      0.000000          NaN           1\n",
       "SummerRay             1.000000          NaN           1\n",
       "\n",
       "[85838 rows x 3 columns]"
      ]
     },
     "execution_count": 308,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "author_upvotes_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "id": "73968f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(author_upvotes_counts['mean_upvotes'],author_upvotes_counts['std_upvotes'],marker='.',s=10, alpha=0.1)\n",
    "# plt.loglog()\n",
    "plt.xlabel('Mean number of upvotes for author ')\n",
    "plt.ylabel('Standard Deviation of number of upvotes for author')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "id": "36291d64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(author_upvotes_counts['mean_upvotes'],author_upvotes_counts['std_upvotes'],marker='.',s=10, alpha=0.1)\n",
    "plt.loglog()\n",
    "plt.xlabel('Number of posts by author')\n",
    "plt.ylabel('Mean number of upvotes for author')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66fb2127",
   "metadata": {},
   "source": [
    "### category "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "ef66e00e",
   "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>time_created</th>\n",
       "      <th>date_created</th>\n",
       "      <th>up_votes</th>\n",
       "      <th>down_votes</th>\n",
       "      <th>title</th>\n",
       "      <th>over_18</th>\n",
       "      <th>author</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [time_created, date_created, up_votes, down_votes, title, over_18, author, category]\n",
       "Index: []"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "worldnews_mask = data['category'] == 'worldnews'\n",
    "\n",
    "data[~worldnews_mask]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd845d0a",
   "metadata": {},
   "source": [
    "unhelpful feature. all posts are in `worldnews` category"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b69fd00b",
   "metadata": {},
   "source": [
    "### title "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "4de8c802",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /Users/fardila/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0                         Scores killed in Pakistan clashes\n",
       "1                          Japan resumes refuelling mission\n",
       "2                           US presses Egypt on Gaza border\n",
       "3              Jump-start economy: Give health care to all \n",
       "4           Council of Europe bashes EU&UN terror blacklist\n",
       "                                ...                        \n",
       "509231     Heil Trump : Donald Trump s  alt-right  white...\n",
       "509232    There are people speculating that this could b...\n",
       "509233            Professor receives Arab Researchers Award\n",
       "509234    Nigel Farage attacks response to Trump ambassa...\n",
       "509235    Palestinian wielding knife shot dead in West B...\n",
       "Name: title, Length: 509236, dtype: object"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk, collections, re, string\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem import SnowballStemmer\n",
    "\n",
    "nltk.download('stopwords')\n",
    "\n",
    "data['title']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "08859fed",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_text = ' '.join(data['title'].values).lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "774a48a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "pattern = r\"[{}]\".format(string.punctuation)\n",
    "\n",
    "all_text = re.sub(pattern, \"\", all_text)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "dd53c6a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_words_list = all_text.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "5da9e944",
   "metadata": {},
   "outputs": [],
   "source": [
    "stop_words = [re.sub(pattern, \"\", stop) for stop in stopwords.words('english')]\n",
    "\n",
    "words_list_no_stops = [word for word in all_words_list if word not in stop_words]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "id": "f57d621c",
   "metadata": {},
   "outputs": [],
   "source": [
    "ss = SnowballStemmer('english')\n",
    "\n",
    "stemmed_text = [ss.stem(word) for word in words_list_no_stops]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "10deb1b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "counter = collections.Counter(stemmed_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "ec0ed8c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('us', 39411),\n",
       " ('say', 34426),\n",
       " ('kill', 28727),\n",
       " ('china', 25726),\n",
       " ('new', 23321),\n",
       " ('attack', 22428),\n",
       " ('syria', 18767),\n",
       " ('russia', 18096),\n",
       " ('world', 17962),\n",
       " ('polic', 16670),\n",
       " ('year', 16583),\n",
       " ('protest', 16453),\n",
       " ('govern', 16436),\n",
       " ('state', 16262),\n",
       " ('report', 15736),\n",
       " ('iran', 15477),\n",
       " ('israel', 15456),\n",
       " ('presid', 15292),\n",
       " ('peopl', 13974),\n",
       " ('forc', 13126),\n",
       " ('countri', 12826),\n",
       " ('war', 12780),\n",
       " ('russian', 12417),\n",
       " ('un', 12404),\n",
       " ('uk', 12092),\n",
       " ('minist', 11847),\n",
       " ('militari', 11689),\n",
       " ('leader', 11540),\n",
       " ('korea', 11376),\n",
       " ('call', 11337),\n",
       " ('offici', 11286),\n",
       " ('north', 11286),\n",
       " ('south', 11277),\n",
       " ('news', 11246),\n",
       " ('syrian', 10904),\n",
       " ('said', 10714),\n",
       " ('dead', 10687),\n",
       " ('india', 10624),\n",
       " ('first', 10450),\n",
       " ('ukrain', 10322),\n",
       " ('death', 10282),\n",
       " ('use', 9982),\n",
       " ('two', 9867),\n",
       " ('plan', 9865),\n",
       " ('nuclear', 9793),\n",
       " ('isra', 9717),\n",
       " ('arrest', 9678),\n",
       " ('bomb', 9098),\n",
       " ('nation', 9008),\n",
       " ('group', 8996)]"
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counter.most_common(50)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b92b090e",
   "metadata": {},
   "source": [
    "### title length "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "be37844b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Scores', 'killed', 'in', 'Pakistan', 'clashes']"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['title'].values[0].split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "95b3da9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "title_lengths = [len(title.split()) for title in data['title'].values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "1387f0d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(title_lengths, bins=30)\n",
    "plt.xlabel('Number of words in title')\n",
    "plt.ylabel('Number of posts')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "id": "dda564b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TXYZv/b1dYiUuum6o1MVAniVV9zzaewgPBzEIGzjtF7rr0r7rqqGqwPMD7hYeKEvwgxA7vut5HmEvONk+sz5WRVbcO9bwIFtjuI7V1a3Wfp3LyLnuY1lqtPIoy/tXbu3rOkv8p2uqaNtIdC1a7GJcNo216Zqm3HUF0sXVKVw8xCBs4LQK5CxLe9d7t4Yh26HH1jA8GWs/bC5/vktR5nlJWlbkud2SYn0W22WV86DdMu6sK48wXBk1d+3G+j1zGZyus+4uiqyrMXSdx8MOKp8268o9kemWfrzxO8/jGQS/zIhB2MCDTAF1HcsVCHa9riw1muZstx1XcPnzN65KPIeRKBxGIm8aibbC7jp7dN0f12d2UVplWZGX956ttw3JpuNvPF9W59vdLbNuWF3ncVpD+qBdgOvHP/1qw2XMez2ffuDR622OMYlb6eIhBmEDZwkSdiEvChZpRl6sgsV5XrBImgHkNM+ZpRlpvjIcldZUVS3B/WAlScZ4kZAk2cmY21WjKYqmv93Vy2g9E6Zr8dq6P9/zFB73f8/OsoFQV2PVVmRdXSnuuEi34HkXTtuu5Cx0XW24jcm6MWzT1R0nhuOtQwzCGTltjx+Xjz9OMyZJRpxm1rvXFbanoKoKlnoxzwsWcdOQ5KVxD1mBhUWUsD+LWETJ6ugalHIomtb/27P6rm02XNlOQeAz6AcEwf2lrCql8L3TbSDUvcr5dIrMlQF12poUtwJcN6zd33tvLorS7erC7MpFua7LghiEDZw25c5VwetSPP0wYBh49MPgZKyqSqIkoapK6/jrCjstCuK8IjWriyTNGEcJiWVI+j1z/N7q+Is05TjOWKTpXc9NKdC6qezbBqBrmw3XauC0D2nXVVvXPP4ubiT3aqAkyZtxBtf9cK3IXO9t4zIaXdOIL8oeD13+xi5XU5YVRGlBlq0mN2cpJjtthtXjihiEDZw25S5NC+KiIk1XX2h3Fsb67DHNc2ZJ0z3kex4938O3ZqxlXhLnGaWZrRdFSVLcO6Nj1A+52g8Y9VcBaq01ZdU8t7IycYt24LAxO++W2ul66E/bqK17Pcfp21m0/56ujCXXSuUs59GeFXetUelq+LrwoCt4u6yENv5NOpzCWbLc2jzOVeBtxCBs4LQPSBB4BKo5K3QFkIvSKHFrJVGURlGWrWCu38q+8T1CP8AzY5qKNMuow6E1SZYzzwqSbPWZw36fp6+MGPb7zc/Uzc8MfDOzvUtFaZYVRFlzJte1VbfLvdKl/UbXDC6X4Thtew/XuXqecdnd4+nZGKPwm8HWdXfcBkPi3fva3edx2nv71rfcDsOAURgQNlbOp6utgNNnWD2uiEHYwGmDykHgMwib/vGyMtkxle1LLphFEWW5UqjDXo+t0GPY652MJUnKwWxOkqzcPL6nUFT45jOzwvQVslYIvmcyiuyVhSNLx1NQlat4RNf7UVYm8NxQFi4/t2slsW4kXAam7X7rOnN20XVV0jYmzmLBvKJSAVneCrpXXc5tvbiu/bqu7q2uGVAbM8nuoezP0nK764qmC6etreh+rlJBvUQMwhlpL42ds8LAZK5YRmKRZsyyioUdQPYUgR9ga+fD2Yw3DqcczmYnY0WlQQW1BJTW5HmG0vZneviqometVPLSKIbS9n0rer0Qra2U2My4rrLNKbG+Z2bO1rm6FI/L5dI1C6jdQO8s/Z9OWxPg8vn3Q5+equhbdR9dV0furKtmgkHXVY87BlKRphlat3a7wxHst5S9616cpY7CFfNoX1dXV2pX15vEAs6OGIQz0k7RLMuSOG0GlV2zx0ApqIpabjgWQFVW5EVBZbt0lAK9em9RmYfImu1FaU6U1/LkfQ5XkKvthXtFc2/fOrDm//U8swKxvmmuimlXILt9bl0feNd97FoT4MrYal+TUh79MESpuxe+uWbJLqPZVvZnUWx5XlHikVurF1dWV1vZu4yt6551bVPRJQutq+HuisQCzo4YhPvAXXzUnH3lhUn3tL7kWW5murn9xQ+4MhwQBCtfqatwbDjo0e95DAcrN1KpTdDXPIBJmnAwGZOkq3RSpTV52Vw16MoYJuuBcSn2wPMI/FouyXNTN2EUpStu4YqfuFMv1z/TFT8BZe7P5qX8xn0luHdmk1Nht/5+rte4jL4rjdi9oqnIyrv3N3LNfrvm7AeBmWgE91cncBYj1DWt2lntjuN990j73YTEAs6OGIT7wDW7W2e9bsD3oCwy7Bit1kahWkt7XVakRYZuPPQ+26MrwGp2l2UZR/M5WVa7m6K8INMBkTWr9QOfYS/Et2aFrjoHpyJQisALsLVgpc3De1KYtu5q6rpqcCktTyk8r5Ynn+momG7TNQDb1d3UC0zQN1gWpq33knK5Qzb682kFQ7W5Jr15hn22NMv18+3ionOtYl10XQl1aXXtmkB0RdxDDwcxCPeBa+a57hdd9xunuUlFtSuQi5K88kitlcQiy5glFYvMqi5WmiSZE6jVARdpyjRa1RM8MRiwHdZySc8P2BqE9HwrWwOjjKxZvSuLqSwKZnFEaVVRh72AUS8gNHUNg37AwK/lEpdicGXVFIUGL6jlyesCtsKQXq+VXcLq3nbNhHG5pFzGxe03byYFuFxqLkXmMi7u160r7HV3nMt9081IbKybaLlmurRQ71ok1rW/0fr97ta91vV3Oo+2548DYhDuA5cv1tm6mFY/osp8ea0HaxAEDIJaLvGBqsyw63dnWU5ehczsAK9SoFazae0pekGItj7TpYh9ZZS/sl06BfMkMauamqQsKXRAUtq9hpo+ftcKwc36Q++KK4CmKO/e4sKlFLsGsl3BYZfSKoqSJFu9znWdnucRBo5OsmurmfVrdwWk2zhjSfeTZulKT+XuLUW6BJ7r+7Fhf4t7rORc19A1E6nrtYvL6OyIQdhA1yVp+wFUmP/bSqAXMOw1q4aDIODKoBlDUL5H2AtR1mx94HlUVcLAUj6h7xP6tYR6BZLmzRVIN/cWzJOUcVwwt9Jat8Iew6BiK1zFLaIkY5oURCe9kdZdY137/riCsmlWkmuPNGspbOvebpw506oC75sqbWv10nZ5bbqGLC9qF9xJ48D1OgQXXVtjFKVZHVnGqu1eccWSzuIica1UNrr3LFzX7p75d+uz1L4frvd1vY9n2aRI2IwYhA2cpRhmfQVs0kmtX5RVSZxllFabCiozS7ZTFz1FvzX7j/OcKK+ITUXzqB+yNWhWIM/mc17d3WM2n5+MFZWZJVufWa8YKnr2g+X5bA1HKM9aCbV8/O72DRVp3oyLuB/w9RVCL1DoMqMXbH6YXZ/ZpW12ffxmbADcGTnt+o2NnU3X9pVYX+E4g7nKGLC7uFK6p5h2q47uUhx4FuXcpbOp69y61hecpfK8CxKPWCEGYQPume36WFs5bAzg6eZYlKQcLxIia2aeFQVpXpBZ7puyqMiqitJatmd5xvFiTpbXs/V+L+TJrRH93sogHEURh/OCoyiyzmO9L1IY9Lg6HBAGq9WAa+Y8HIRcG4QMB+HJuUatc3VlU7ncCS5F7Nrkp/3Qu+6ju+9Pt81ZXPtItCtlXcV8WW6K6KwVmTtLyvWZ65W47dWcu3meayOgbrEG19+gfV0upe5yNXXdk+K0POj6gi7vldjDCjEIG3DNmLo0HStKM4ttpyT6zRlrluVMk4Qsa7aziLLme/v9Hlv9kH5/pbC1VgTByq/teoiu9HqEfsEVq+q5HxjXVWAHbtdnu+59B5opoC7juDHYyr1XCK6xdiaWUgpf3ds/3k6Rra/p3i6Sk+M1lMP6zL8szerOtl7avO4exXYbi9UsA3yWzWU2zvRbx8sLY4TuYjTPYiS60PV9XV932k6pEntYcSaDoJR6XSn1VaXUV5RS183YU0qpzyulvmnkk9brP6GUuqGUekUp9X3W+HeZ49xQSn1KXQAnoLuV87rLoq0Enb5qXZFkCViuFOUrAuWhGv5ZUK3irNA3M0orWygMFLpICJfuFUWtS6z3eYHPsD/As1wkWpkVgvW6rDSzeku5uYxVG1dNQ9gzqw3LCLn3PlivL3ApsjjNWWQVsSmu6+qucBllV1whilKOooQoWq3S2gHdLDMrIaulhisGgjLXdI9eQxszZiwD7O711C0+0zUttF2k6Ooy6ppodI2pnAeuIHgXZS+xhxUPYoXwZ7TW79daP2/+/3HgC1rr9wBfMP9HKfVe4MPA+4APAT+plFo+xT8FfBR4j/n3oQdwXmeia357O+PE5auexglHccE0XhWOjfoDnrl6hVF/lSpalhWZbs6EXO0moqxEewOiZUuHwsxYLUOVpBmzVkvsNMk4jiJSe9McV8U0Gq09ynbGj/VguaqjXbNpV367swbD1bkTqKri5Evq7MXUsZDJtatchdloyK4ZaQV0C22yjvTq3rpSbl09oTZm0azdj6YxdBkhV8sLd3uIbrNk3/cZ9lf3o6s7zpU267rOLnR9X5eahvp19w6CS7zg7jwMl9H3A582P38a+AFr/Je01qnW+jXgBvABpdQ7gKta6y/q+q/089Z7zg3XFycMA0b9pv+3TeCbCmRrRo+u6ipiSwFeGQ545sqAK8OVQVCex8APUZZyS9KU4/mcxNrDYBB46DJhYFYlrll+UZTErZbYmS4pilqevE4bxW6dmysltq0cXNXMUZIxTe1MJLerxhVrcFW2tqu5Xasv19+pF5gajMb5r+9TMRqEXB0EjAar2Es7tVhpk27bcB2uxzvKyow1CsI2uB1bRq29esnLkjRvTgI2FsPRnP22+z/Bppl+U8kGgc8gaKZUu7dSXVe6rsaE3fpErV9T90B5N3dc+3USL7g7ZzUIGvhNpdQLSqmPmrG3a61vAxj5NjP+HPCm9d6bZuw583N7fA2l1EeVUteVUtf39/fPeOp3576KbawZn8uP7ntmNubZbo31IORWP2Sr77FlZQsVWgOBkcv3avBXqYs9zxRPWcrU9z3CVuriVq/Pta2Qrd6q/bXL314Bnhdgz/2T1HRdNYbJFRfRlZn5WwrEVZUc+OYeWefmCra276Vr9eUKILtqMOIkYxJnxIldpb0eZF+bYTtcQS6l2LVQz4VSHv3+ygUVeKruVdVovbG+qnKtyFz323Vvu2Q2uRWsI0bhMNTd3GUbtm/tFC/o2vq7+bqzxAseh9XFWQ3Cd2ut/wTw54GPKaX+9F1e6/oL6LuMrw9q/dNa6+e11s8/++yz93+294F7w3tXY6/mA+Le2Wr9i5/kZpez3Op2qny2RldArRTZlUHIKKzlkrwsSJKM3LTOzvKcaZyQWRvr9IKAYb85S+6FRlGGdmHdepGVs1gtK0jKWoLbfeaqrXBVJQeBz6DXLvBbd/20s29c5+rMAnLt1VCaHkK2Oy43fYuslUqSmH0kkvpe9ns9tvsh/Z6dhbWOK67QNQuoPZaXFaX2yK33lZVZaVkKMEnN36SxGdOGQrp73FvXubqDyuurhkG/x5UwYNBvZarld1f2rgI8F103AtrY18p63VniBY/D6uJMBkFrvWPkHvCrwAeAXeMGwsg98/KbwLust78T2DHj73SMnytdvzjOfiyt74urGMmldAMPijzBPpTn9Xjy6hN43uphS7OE49kRaVbHJI6jBXuziONocfKaXlDXJdgGYbZIOIoyZotVLGMYhlwbhgzDlcFxrRD6gYeqMvrm5Fy9h/qhyWKyZqLu7KH1mfnGYKulMLrm/7eLywCUZ2br1nk4/3bKGG/jI3KmiToaGLpwGStXwDvPcybziHxp0LWmqJoZS85VVc+kzVoKu2u30PbqxZU91LWmwWVwumz5Wc8Gvcbj0nUi5oqVPOx6hdOuLi7TyuLUBkEptaWU2l7+DPw54GvAZ4GPmJd9BPg18/NngQ8rpfpKqe+kDh7/rnErzZRSHzTZRT9kvefc6Dorac8aXHEG19aVeV6StWeneUlJQGKN9XzIswi75udgumA21xxMawPQ93tshSF9f2U0At/05LGCqHmZM1lE5KWVPaRaEhj0TAzBqqzOK43yQnJzna52HGVpurA2tptcnzm7+ie5XD9t14xLEbuCnM5dyRxplq4Vx4l2MtJV8e0qLtvY4G3tOtcV5TzOmOe1BLPS6req2B0rsjDscXVrQBjaWV2uNt/33gzHXc3cbdXgVtjr+4O3n59Bv8eVfnNl0TUzK0lz5mlBkm7OhOvKfXUlOIVxuUwri83R0XvzduBXzc0JgF/UWv9LpdSXgc8opX4YeAP4QQCt9YtKqc8ALwEF8DGtT6KbPwL8HDAEPmf+nSvLPyKVvms1Z+2DL1AE9HrByZfL9i/3w5AntxR968HVVGRZhmZ4MqaoiJMIdc0qMJst2J0mPDVY8LZnngHgSj+k16slwFPbW7w9zXlqe+vkfVmecTSb88zA6mXk+QzDZiwjL0yRmD2TUx6DcIA9nV5l/ATm+HVq6pWePZMribOcnrWa6fV8lKqaMRXfo6dpKMr2fazvd9P9sVQyo2AViPc8TRYnjLZWY4HvM+jphjH0lAlaW9e0iv9sTold7Q1hp7oGbOE1Gt4tFb1XVCeZO6v+T6vX9cOAYaUbq6hRPyArkpOMs+EgxPfKRsHcMuU58DgxAMvvmlJ3V1LLdEyKijBctrtufpdtpWXdtjVcSjHPc6ZxxtVheOIGdK2Ku7S4OHl+7tI2G9wrVK01VaXxPNXIKmqPtXE96w8Sz1NgzuGic2qDoLX+FvDHHOOHwPdueM+PAz/uGL8O/NHTnsvDQCnQZYWyFJnrD1tp8yCZb3mS5ERFxaiq2NoyKX0YxWP3/dHGLWM9HIsk4WgRsUhWym0eRexNx7zryuopferJa/yB7yh56slr9WuSlInpR7SM4B/PIw4WGc8Oo5MI/ajf58krJSNrT+Web1pG+KPVddJU/mDSFMNVmmJemUwYawbo2lazq9th6UoZBLbi9cjLnJ7x37uUzCLJmKUVPT9jYLq9umZkW6M+yvMYWftKuJRsGPoUVXWijD1l7oWy4x13yfXf0BpjOdl3py4HXN26cuJWq2f5av17RjNw61L0LoLAg6JplIPAo6rK5gY5ZYXvwTJcUv/dtHNFbCvPZXwpzAqGZn4z6AdUOm+m5raenzQtSEqN1prRaLMVcp1Hv9/D9/21FU1RagJfnRimLsr+YSvs+hm4+MYApFJ5I11mM2ArDDPQ8kGDO6OoHwQMWlXD+8djvn17j/3j8cmY73v4NN0Oo6DP1nDAKKgV+2Sx4PZkymSxiiEMeibrpWdnlqxnqrSDxQBame6p7TRFy/3R84zrwFptuCqJXTuQFUXOeDanKFbLfZfRbK8Q+j3TKdT2nzn87a6celc/qbsp2VXluSv+syFdsr0rniPjpyjNexttKZqusTTNOJ5FpFYNiSvDyt01dp0uRrl7D6F119iw32Or5zHs264rn9FwgNf+fljHc7mpusYButafrDfU65bW+rgiBmEDXTcwbysMVwWv0pq8aO5eluc5k8gKJAJ5VaF6Hrm9I5uGsirwLN0WZQnHszmRCSoHvkfPbwYcB70ewzBgYGXHzNKMOPeYWYomKzKOZ3OyYjXm6s7aVnj9MOTJKyP6VjC6H/bYHoQN15hrf+ZZlDJJK2ZWhbCvTGqu2hwgdSliVxbQRsPUSq917QvdDmT3ApPS22jHse4fd/U3csU3XJ/Z/l656jlcdM3j79LbybVyceF6Bvr9kCe3R/StGJkry6gdy+j1AraGzT0wzpIW2sWoXSZ//nkgBoHuswZn64SWwkgLowCt2e8sjtg5njKLV43m9qczdmcR+9PZydgzoy22egHPjFaxgKQs0V5zb4KD6YyD2ZwD897QDwi9ZnuLuCgoSo/YymIa+T7opJYGVyW0izhJOZxHxKYZX3vDHHMn1zJ+XOmeYeDh6YLQUrKujWjaf4OsMu0VKjt7yCiydvphK5jrXA04Vm7t2bpz32VH3KUsS+K8Wfjmboa4ns2TZSZt2BjNfmgK1aw4g2tlsbFpXSvA60rv7FL968782rBn+JoRWjdWrvYY65/ZbWXuoouyP21V9eOCGAS6zxpcRqKdWljkJUlRUFhZKYs0Jyk9Fqm9yY0mSxI8y7WkQ5/tratoK5g47AX4VAwtxRv6Pn612g9htlhw5+iImeUy8rQmzRM868nKygqtAjI777vSlK2W22lmdnizHtw4y5gmGbHZzc11z6IkJypquaSoCuZxUrt1Ti60JYE0NzvINTa6aSq30DcZXL5d5+Bqw+1w3zjSNl20U1ZdmU2Bb1xBll/YnUK5Xn2dFwWLJCO3u8QWZnVhxgb9kCdGAwbWjNvlMurq6uiiBF3Hcq0sXEY0TXNmcUZqf7+dPaxoZLN1ba/9IDmLwXkcEIOA+0u4sY11O/0tN+lvxvXjB6YXjjX7fXLUZ+hnPDmygrlewGAY0vOszqNpwSyeU1mFRp7yGQ0GjaDm9nDI1asjtk0E7/ZkzME05fZkfPKaUpsUUNtNVRbEVkHbcmyRNsdclbhlmTOeTylNyup0PuObt+8wna9WOIqS2WKKYqVA0sJsfNPYKjTlOMpYZCuXkQdUumh8IYvCGBOjKPuhcQ+FrTRFWjNup/vG4epwuLiSPGO8WBUMOju4auMKspRK4Bn3VsOn7ajEPclastyCynz/7uLW2FjQxr0b2Tmri11dXdubBbVWLvW5tmJmuFdf7sKx5veq62y967PYxZhIZ9O7IwYB9+yo6wY5vlIoKvxloMwz+f9WMG2e5mRlwNyaQWkPlPbQ1l+g8CDsDSissSiJ2D04IEpW7qa8KinKVYZPX/noqpZL4iRmf3ZEnMQnY72eT6+VQ56XFVo1q2JdBWBRWpBXAZExVvvzBQeLiv35alUyTzLmWS2XjMIeo6CWJ/dbr/cHcrXCiFPTbuIk5rEeGHbN/J0rOUcGlHMiUJmA9LLVgTK1CnZFmzbK03YxeqbeotHifL2vUJ0S26wPabu40jTjeNEMKrtWba7CN2fdRAfD4crrT7KMcZyQZHa7j/VKaFelsqtavN3DamOvpw57JTtXL63tT+vPaBoOCSDfHTEIG3DPJNYDZe12DUVpZrXWjDuKY+6Mx0TxSjn7qlYA9v7GfaUo04i+9WU9XEREecXhYmUQkjQnsx5eX2mKpJZL5llOXgTM7dmd9uj1AjzLCo16PUK/lkvGszmvH4wZz1a7rW0Negz8ii2Ttvn0cMh2v+Lp4dA6vpnlWw+4Uh79XrMwrReYDKV7uD/KwvjlTx5wRzdV8xm2B8D3oCwybO+QazbqUoLtbqdZnnE0X21GBOupxvWJrDcwdGUBudxBbcWY5kb557abbd0I5YVZ3RV2BlfBPG1WwLtcV20l68rM0sq4wax75sqcchfDOSqfMX+D1SesPU8uNlYvt6vAnd1fJYh8P4hB2IDbp7r+hfM9s0IwX9ZpFHMwT5hGlvIPfAb9EN/em6Ay201aM9ZJkjBPKybJqrXEU6MRo37AUyOrTkBpsmIVf7g1mTJLa7nkyeGAQVDxpNVNNc1TjmZT0nzlqqk8CLyAyvomzJKYo3nEzFpdBH6Pa1tXCEw1dNDr8cTWFQJ7A56+celYM0XXzNxVNexKia0wQVOWKaDddiVzZTE5iwqznEkckTdcIs0CtnliqojvkfGzSDNmWcUivXvzPJdRa1c+u1pSuHAZw6KqKMpmW3J3cLsZkHbFKK4MTEfeweo75OpN5Zqtu3aja/ewcq0iXK6rru4h154Xj0O7iQeJGIT7wNluuCjJylpC/eAlrY6ffc/Hp6JvuZFmcUKcZcysPRLmszm7hzlza2be7wX0g2YK6DxJWCw0c2M4to1S3raUc15WVC1X0CROmMYVE+szkyTlYD4nsbbyDJWP8mq5RFcVSbG6rqw0121lm5SFUf5Fyz9Os6IUz7h+rPvoqocoKxMHOXHfrFenulp0aF2yiCO0vkfGjwJPBVhFyGuGadQLCFXB6B7ZVB5mNWC9yrVv9iI2hiPebGBcFeUuP/2wb/pQWauN9sY34Fa8632i1mfSvV7AVr+dFrq+6nFlMbk+s53aWhQmAcNu0e5ws7ndYOurHtdK5bQuotPuAnfZEYNwHzgDey0l5XqI5lnKPC2YW0FUPE2VFdj+ldQ0X0stY7I3mzOJC/YsI3E8mXLnoJYA21tbPHOtlkvGiwXj6ZyxlXk09H0UGUNLeaZ5QVY23ROer/CNXJKVZi8FYwB6nkJXGT3rXqRlzjzOSMtWf5nWszjq9Rj1mm4ql5snDHxCv5aw7s7ZNOZ5JhBvK1SHwhuGPbZCj2EjqGwMk7kfyvfZGoxQ1j1z7efg+rs701od1+lqsd3GVfvgSq917ceR5wWLrFmD0a7VcBkcVzfYjQFvms9FlJrd6Kx9PNqxKdceDK4gvmv1uDGl9xTuoS69nh4XxCDcB66Zylo+fqXrjB07bz0viIvmA+lVtQ/Ys76D1wZ9+n4tT94bR+zulORWDcN4lnF8UEuoj5PkNH3JecZkmlPY7bV9j0FvgK2NPDR5njQSJudJwiROTlYgAOiq7q5qHsooyZi1i6d07Xe2fRhxmrA7nhKnq2OlpUkxtWsflMeg3+yf1A4iu/zGrrFBaIKclqJ37YPsigW095ZoZwCBu3meK5XWlXnkblXerGVxpc26itXS1MQarKw017lpjPsD3XydlWDgKphzuU2c8RMHrpVhe7MkVyfZVf+n1bFcrb9dGy+d1j3k2nqz6y5tp+WiuqTEIGzANWtwPajtZmhRlrFICyIrMyPwTCDO+qIusowMzcJ6XV5p8DjpKApwFCdkRi4pSiiNBJhGEdNpLVfHgnBQyyVJnHA4HZNYx9Kez/bwKtpueJcXxHnTgKF8RtZeDWmZs0iaqwFPsbaN5CxJmSUVM8sllaUZR4s5md2awTdK8S7ZQklq3FvWrNPldnBlSbkK8OZRzJ3JnLkd72n1bPI9Mwu3Nx9qZZYBlNoYJmsW62pxPk8yFq2YRJKaPRhMcNuZxukbBduofTAzZ+5uINvXdHLfrPoNV/aQ1ibOZV2TKyHA5TIahCZ4blWyr8cVFEGvmTWWZiZN2XIZueIbXbbLdOF6rk97rLNwUYPdYhA20HXD7vZyVlcVadGMIWRlhaZZEFaVBdGslkvmiwVHx7VcUkYFt3dquWR7BMNBLaFuDFeUNHrsPzEa0PdquSQqCioCIktBbQU+RRmxZffIUaBbiv2JrSFPjwKe2KqzirzKBLbtgra8pNTN4rKB56GrhIFdnFWW5K0tItvxAliftUZZxjRuGlvX7Pd4OueNoynH07l1rHXF7t4XuolLOc+TlHFSNxM8eV1pjFAjZhNzsMiYWNll2/2QUVCxbfn927UPrsBq6Bv3md9yg9FUKq5WIYGvQDcL6ZLMZFiZ1/m+cWVZi57pImJnPGdqZbi5jK0rs879rLSD7OtZRr3ANFu0sphcrjGXMemC67k+7bHOwkWthxCDsAH3RiPN1QCsB5V932fYa87G6sLWDLvh4XS+4Hhey5OxOGWxqOWSvSkkRi4Z9ENGW5ykLvZ7AYFPs/eQ8hgMh2jLBfP01hZPbIU8bcUa7hxP2Duec+d4cjJWVBqtAwrb7dWaYVeez/boCSprZREGft051DIuSVGQlrU8OTcqsrw1s3UEYNvpl66tJYvKzMKtSuikyJhFCYnVn6mdDQZwZdDniWHAFctFV1Wm1UZlbcrTag+R5xlH0ym55Y5zpYCGvk/PaypxfNNa3FZulQlSm/vtij1kRUWlAjJLkbl6NrlWJa5Advt+JFlBUjSD+mlekLTSX+dxwsEiYW6tMtO8IM6br3M1BWwbMGd7C0d8xvU6dwHevQvYXM/1eSjni1oPIQZhA66MBVfAy8NUbpr/h72AwVqPH49wMMC+3UeLlPmklievUqYhmvUd8UuIjFwyjzLm01pC7UqZTWi4UmbzGbdvx8ysSmLf9whaM63jxZyjac7xYjWbHgS9eo/gYOWDP54vuDOJODYG7OmtIdf6FU9vreoQwl6Pq8MBoRUsjpOU42jVAwkA7dHrD7Cr8lwZSu2Zp+8HbA9H+FbAdBGljOOMhZViGno+vlfLk9clpjo6aaWittJCs7IgTgsy85kak666eolb2Tmql0f9Pk9tDRrtxl2tNtpBZVdKsqc0WdZsdeKqGnb10nK5ltr7fCvzOls9bfVN7YmVRuxMAWW9ytw902/3iVoPlLtae3QNIHcpanuQmUiPImIQ6J5l4PLPtl0KriW1rgoW0ynamsVu933Cfi1PjlVCEtdyyWAE20YuORjDTlJLgHkMhEYa9qZzpmktl9zcO+DVm/vc3Ds4GbsS9vCqWi7xA4VSFb71MKuqIk4jlLmuRZaTFB4LyzVRlAWLpOk6UF79XjtWHPqKqkgIG/7wdddPVWm09TAHyqwQGgHegFHYzO5RnsegVTWcZhmTRURquZuiNOVo0cyEQRsHhjmNnm/819YsfxCa1uJWMHTQ8wkoGFjB3HaPInD75QPPTDTM+aa5Ueq53RPKGCFLATqNXGUMmPVV7gemM22wclO1s7NcbUG0Mr21rPRjl5GrtKaqmm41d2+qZiDY1STQVcntSjHt2s6ibUwuajD3oiAGgU1+xXVc/tm8NDMaowTjLCcpKmLrNYfzBZMk59ByD/XDHv0ejQdwOoNFVcsllfVvSbaAhZEAV4egk1qeHN/TpItaLjmO5hxPa3mCF3DlCR+snkqH4xn7R1MOx6sTSfKMebLyc8/jmP35nLnlH58uYvbmCdOFFaT1fMJeM6d+nubkVbOVR1EaV4dlTKqyJEoTKuOmyirjNrGM7dXRgKdGAVetWEmvFzBsGYmqrEhbXVezPGPSqkLu93psD1fttF0VvFWlKVuz06QoKXRAYs38232uwCh21VTsyjPV3EbhuQLgrsDqbDHnW7t7zKzV3WhgtmsdrJT/YGCyrgZ3z7pqMwwD+l7F0DJ8zk6ymFm4ZcyVNiuOdlGeFRtxFeC5Krm79jzqsu+DuxtsSRzf/V48LohBoPvG5C7/bBTF7ByPiUymiqoqImsmDVDlBVFUyyUHxwm3d2u5JI7h0Mgli0k9tli5+MlLiI0ESIo6+SexkoIWWUFh5JLtsE8Y1HLJqN+jp2u5JK0KCl2RWiua8XzB0WTO2Bg1H8izjEYtrdJQNTcHCjwPz2+mXgYe5HmCfbujNGOeFERW5lGUmTEzq9dVwXTeXGlFaU6U13LJIDB79Vour6rWULVcXmdeELV8375nZs7mfKM05WjeXEUUlUa1ZuuuPS98oKqa92jUD7k6aO6vrXXJIlkV0vV8j0A1M64GPaMoe6v3xXkJXljLkxMxqbp3SfcEEzCerALGrsmOK9DvmtW7NksaDEKeGA4YWIZpuSveMvkhCEzNRHB3g+Ouh1hfiW9sAHiP+ICrGK4rj9qKQwwCbr+iiwrjJ7bG4qIEFdYSWKQpUZqxsBRIL+yxNazlksNjGBu5RFfQo9EOh+MFzIxc0h/CE0YCHB/DrbiWS4oUZse1XDIajXjmmR4jqw1GVdVOGnu2++RgyLDn8eTA2u9ZmRnfcunte1wZjtDWgzvs9bm6NWLYWxmcEo2vPUp79qg8wrDZ38hXCq2aqZy6rEjLDG1mc1FakOpVgz2AOEnYnU6JrZqJojJBSLt9QwWVrlDWva11RNMHH2dm3wdTRJhkKUezOYlVVHhlELLVq+XJ+TtSO/OqoqiaGx71fFPAZsVBplHCUVwwjeprqDSo1vaqrh3lnt3e4umRx7PWXtrOhndFzmQRkRf2ytZsgWqUs6t4zeW6crX+9jzTANBOzXUo9iTNGEcJiTH6rpm/ux/RemDfvTmQq6tr0x3sMhCuNhtdFf1FTR89LWIQ7oNR3yzHrdndM9sjnhzWEmq/cZo0/cYemiyhUfy11a8NzNZKd6JUHUC2H5BRr/4jjVa2hKvD2nAsXUR37sBrRi6pvDruYPcoUlVJNMtRVpAiKQoK3cwCynQFXlBLw5XBkGtXrnDFGImhH+CriqGl2DzfpKvaSTWOJn6e59H3220HFAHNB7WoCqJ0lUE0DAMGLRdGlucsWoVeSZpyNG3WK7jqBDzlMwibrcUXccokzliYTK+qAlq7nrmyalwtNHzPI2ylurq2J23HKXzPFEVZ71tECfvziEW0MnxBr893PPUMgWWAXTGKKDGxEivWcKVvMqxMLEB5JmPJto7aZD81CtNY2wvcNVvPMrOvRKPbabMoz6XU3Z1Z13dzcxXguZR9u3jPZTS6djt2cVHTR0+LGIT7wDULVF6Pp689hfJMP6HRkGvbI7ZHq9l1VJR4/VouycraINir1N4A3mbkyfGBdoZ0mtde2KWXZOlCtlzJhBoWUS2X7IwnHC1quaTve6iqpG/N5KI4YTpLiazUQqU1heUSWaQJx4uIhVWBPItSpq2mch61Yre/aB5m8x7LQLbz4gHivCAvPWKjeF1xhkUcszuZsrD8bFlZklfNPkvK9xj2QpR1na4+Uf1ewMAacxmheZJwvGhWcrsU2bAfcrXVa8hXmjSLGp1ptwYh232PLbPicO1GlxQZk0UzlVapijiJUNayx9km27EHQzuzqd8ze0PYW5G2YhsArj2sXSsyV6C5XcDmaknhqhBuN8Uzp79W0eya1bczA10KvGvNkYtHLUNJDMJ94NqXF10yj+Zg/L+qrEjTCGUt2YdKkcxruWQxr1cDthK/NqgV/zXLIBwew4Sma2lvH75tJMCTT9V/yCefWr1mmtbHmlouozLLmB7V8mQMhd/rU9KckXkejS/5URSxSAqOTDX07vGYnYMjdo/HJ6/xFeiyWW8RFwVl1dzK83gesb/IOJ6vCp5cVeDb/T5X+h7bZha7O55yaxKxO14VZeRo/CAkt4zLMOwx6DV7FF0J+1wZBFyx4idFVZLlBYW1YuqHPa5Ym+YkWUHcarrnoUmypkFz+eA1691Ip3HKNG3WmrQ7qroUeOAZpWgtv+K0IK08YsuF5tqgybVHdpqbXc7MbN3ZPdTxPpeidzX2C3umkM6awffCgK0wpGeMa5wa91yj35FjzxGHkXC18nC1lmnv2+xS4K4Y4qOm6LsiBmEDrlRUl081yUsKAhLzJbwzmzPLa7nkKI6Ii1oumc3qYPHMyija2YddI5e8kTQlwPG4Xl0sdfHV7XplcXV79Rpt6heshp9oBV6PRn/7Ydhj0Grwtj0a8eTVLbatWENPKcqipLfc3zhNOR5rMjtlU5lsKOv4oe+hKAith7koc+J4TmG1vRj0Q661skuCIGAQroKOvtYkcYRvKaMn+6bNd39lRV0N3rxewNXRFTxLuWWF2VK0sTdyMwCblTlRnJBZ56qVx1Z/1Cj6i5KEg9mcyFo1pJnZ6MYywJQl82QOdk+lsiRJVtlUriCqa0tUV23C1mDAs9sjtqyW1a49KdoFeC63kmtDIhcuN5hr1j0KTcqqMcpxmrPIK2J74yjnPs7rmUGuXkmuuoa2Yu+6f/rjihiEDbi+0K5ZbL/n01MVfTMTGnqQzmKG1p3d34957du1XLLM6LQyO9k7gGMjlxy0JKz6Ey1llpg0VMtojEZwLajlkrKsqAqafW6Ud/JvyVa/z6gfsmXlmge+T9hTJz5yP+xx7YlaLonTjHlq73BWF5ylRbPgLPAD+v2mwlZak7WydJI8I0pXqa69Xo/t0Yie3eZbKbb6V8kbimE9CNmuo6ivM8AjY8vqn1+UOeP5ylipqo4/2MHovuehdUa/3QajtQ/BbBFxZzJlZrV+2LRfQWm5P1z+8XGSsEhruXrjekNAZx6/o214O2ZQlMbt007HzJvpmGVZMIujeh9uQ8/38FtZUYso4s3DIxZWf60Tu2Kkczc9h3J2GdbhwLT+tgL7rgyoNl13X3tcEYOwAVfDK1c/nHaGxTROmGe1XDKPIaVZODZpSYBlkoOV7HDyB7rbH2o8qzORbOPS8+v0zkZDzkpTpJxsDwl1Q7zj6aLRGC+rKjy/me+P7zMYXmHZ7GY76EFqpKEoC5K0tVtckdXpnZbvux8EhIFH30o3PJov2J8nHFm1GklqWlAYA+MKtoaBh0dBaC3387IkK5t5/LMkZZ42m+wleYXyByRWB8CkKMGqJ0iLjHEUkVrnn1YVeGGjTfmoH7LdSiedRzGHs2bzvJMCRsvwTWZzvn1wxMSsKl0dVgeBDxRGLq/dZMdYY3GScrhoVoa7tidtZzv1ex6qyuj3mquevUlz1TONE46iovH9dgWa55lxg1lKPCtMeqe5t65Nllx9nNyKfr2NTLtrLKyvCFyuMVdPqMcVMQgbWW945fum3N/eTyDNmaUZqVn2TpO47kdk7TZWZLBv5JI7LQlwGDUlwKglYZVxtJTL77H9fZ7M4CCr5ZI4gVlSyyVHkwm392q5JEsTDg4OyKyA8VbgU+WrJniR1vSvDoksxRbHCePxjNj6AK8ybg3r5KI0YTyZE1nHR+u6XUFjVyyz5adRZJU2M38rCNnv9Xn62lX6VqZNHEe8ub9HbLnoqKq6Bbfd5dJz7MEARNmcpVpfpBlZ3twJLU8Tbh/tkad2UNmj10q99HoegR/gWUo28BRVq/PtJElI89VOeVFi9hKwlLqvPIKguZJzuYKmccSd4zlT69pdBqa9kU6UFWRVQGTFSlzBcx+oymZtRVmYVYMVJ9ruh2y1mvi1u/66NvNxBcVHA7OSGNiGYx3XPhhtd9PGGIK6dx3So1Zz4EIMwgZcMwnXhu5JnnI8nZOYbSmfHl3h2tVaLpnN6xWCFVbgmZYEuNGS4DYci7wpl+4M261xeAw7NIPRaQGFruWSSRQzXdTy5L2LBbNMc2h1Xd2bz5kmJXvz+iIGaKJJzMCayR3N5xzPa7kkK0pKVrNCgN3xmNvjBbvj8cnYKAy50q/bUCzp+z7oqpbU1dHjWbM6WmmTaWMZiaMoIa0CjqwUTT8wGWJ2C2XPZ9DamSyuKsJgRGwMx8D3QRW1NIyTlKwKGNurjTRjYq1mALb7A54YhGxb8Y3pImJ32uwg+uz2FZ7aCnl2u/7OZGVBavVTgnqTpVnS3GSpXckNZh/qzN6HGrLCpHtadQjtxoG6LJgspmjrM+uakGZtSOAHbLXiM2lpWlZb5+GKK7RbbLuC5wpa+y6b/l6t1F9XDUMXxe5W6t26nT5qNQcuxCBswDWTcO0FHCUpB1YwbjTos9Wv5ZIyrX38pRWv+46WBMhaEuriNVtCHYy25UHUlABZDHMjlwz8eoY3sKZ3gQJyIw3xfM6tN2u5ZDqecnunlgAHi4ioqOUS3/fwA5pVpmVOPI/J7aBspanypuuqBAI/xPbiprrCD0JSo+zTrCDTzdnjrYNDvr6zx62Dw5Oxp4Z9AhKeGq7+Bq5ZcpImHMzGJNZMP6gqJosxgdE+eVlStlp1Xw1DAl1w1TJe08WcncMDplbaWFWBFzQV2SxOmEXNrVN9Uxm9dIV5lSZptRYPlEfPq+WSeZpwOE+YW+dflSWLrGkkpouIO5OmESqrkjhddZdNMtOV1rq3vu8RtHajC3pmlzPLF9kPTBzNMrbONtwthZ0XJnhe2EFg1wY5Zpbf6Di7Hnh3Kfb2xM6l1Lu2xniQNQcXdbUhBuE+cGaNQKMFw87hAW/s1HLJ0bQpwR1DcKFbEursIVt+qyUBlpNvaxLOIqk/b2F5aibH8NqilktuHWTcPq7lklxpCIykzjKaTGhkGT2zfZVnr/Z4ZvvqyVhZauipRtuE7X6fQY+TdFKAssgZL6aU1iw20FAUCYF565Vhn2EQcMVS9PuTCXcOZuxbLq/K87naas1dFCVxayOd3fGEW3tTdq26jKgswR/Uknr2W6rW7m6+qnf5suJLR7M5B+M5R9YyMK8K4jQjt1ptXBsNuXYl5JpVp7I3nXGwSNgzTawmccTBNGJiuX22RyPefu1qI/PLtTHNPE2ZJwVz6++iAU0z/TXLMsbzOZn5Ludlxng2JS9tn39Bkrea8zk6sbqKvXRVkbX3BckyjqzPbDf1A3c9isK0BbGuwLmbW1USxc0so/Vupxv2aWidv4sHmY10UVcbYhDuA1fTsWE/ZKu/Kj761usZL+7WcokrU8ilxF2vc7HfkkVLAsx1UwLcullXNN+6uRp7/U69+njd8knlaX2s3FrR9Ku6mV7fPN91gJ1GgLcfhmxtj+hbM2d0STTVjfzXpCpRYS2XxEWJtlqAgNnHOVsVmAV+wHDQdFdshSGDXi2XpEnMncM9UiuOkxY5cdpsC52lKdMobhi1HpAXEUtv9XY/pEfTF348nbN/3NqARymUrxvuFYUC5dXSMBoOeHrrCqPhyo0Ueh66LAjNvTyeTNnZPzzZM7s+likMtJTioBcw9Gt58jqtyctmttb2oM+1gce2tWpt79yW5RWVF5DlrcBtK+00zk3tg1WLs77BT51+rFSzzcvxIuYorjg2zQ9dLS/yPGcSReS57d4yLilrNeCqyI4Tk8aatPb0vgdd91Z4kFzUCmcxCBtw1SGEgdkD1sqOqcqKolp10RyP4Q2aM/P2jB7csYGutFcXeUsCJ64Xe0G9N2tKgGv9egOea1YLjavbsEWzruFgkTGPawm1XzpOaPilZ4sFB/sTZlbs4Wi+YBbTyB6qipJoWsslW0GApzO2rHu7iCOOZjMWZqY8jxbsHR8yj1bH6vn13gd2e+rbh8fsHKTctgIoRW6qnO12E70eW1u9RpbLNFpweDxmaj4jyesmgYn1vizPieO80S4jDHw83cz4KYucWWvVM53PeePwgKnljrt25QrPPfUU167UMYRcV2hVyyV3jsfc2BtzxyoEdM2mYd0TnpUVVWvHvkHgocuEgVneDsOAkGZFdqgURZEQ2i0jgDxbGUyAqjT9sKxVoKtBX3vXvSw3KwbLkCySmDvjKQvLmLv6J7k2DPI8UyBnt2tpKXtXiqm7B9L6DP5BGomLWvsgBmEDrqpHl0GYRBG744iJSdtcFqBahagsWvJB044pbPpM10oiyWujYU+q8rQ2NvYKQQOolevqeFKwf1jLJTvHR+wc1XJJnMRMJ7U8OX6RE5c0mq0tkrTej9oK1E4XMbOIk3bab+zv8+2btVyyOz6uC/rGK+V/PJ+yf1DLk+PHMeNps8XFdr/PwPMarqs7kymHE80dMzuP0pQoanY7rYqCeVLLJSUewyvblNYjdTBfMIsLDixj+NqdXW68ccxrd3ZX97YsidIIbVZC272QnlfLJUmWsUgSEstdOYsi7oynzKyU4UUSczxpKtQszzheU7wpk2R1v10b/EzSlDj3mFjXnlYVSjVTbos85c7RAYX1hXHFEAah6UJr6g72jse8snPAnmXkZlHCJKnTjZd4ns+o38weGoRm/wk7R9vhX21nAbo2KHLN1rtuyvOoIQZhA64vhMtltLu3y0vfOGR3r37Al5MHexJxsyXfCl5sSXAHre8c1AbhjuWnurlbG5ebK51FX0Ge1BJgOqlfM7WCINNJys03a7lkNtXcGddyyTzJyJPmRvNv7N3hxW8seGNvtWZK0oijvVoCRFFGNK/lklt3Il59o5ZLlFZoVcsl+5MxO/sl+5PxydjxbMbeUcqxVS6+5XsUWS0B0ijizm5Jaindw/m8rjS3Zvl9VbEYz+hbqV5VlnJ0lFJZmUFRHHN8XMslO+MxOwdzdsyycp6lJAmNjKIr/ZBBWMuT+5OlzOJmJ9ZZnLBIy0bQehHF7E6nLKxMsijPKXQtAcbTCa/dusnY/oOWBdNoDPYeFUXO0WxMZRnzncmUo7hgx3JxLdKUWavr78F0zq1xwoFxtR2Mx7x65w4H1nI6DDyomnUlvcC017ZWX1lutq61JmxJljGOm0YzKwqidBUHcRWXunA3wesWfL7MiEG4DxZRxM1W9eVLb8741s1aAizb88wj1xHeOlwuo9dbEtzGqojruEJhZSh9+QV4wUiA+bx2d1k6kdu34VUjl+wd1e049laLBhbjlG/u1HLJt2/GfGOnlkt2dgteH9cS6hjufN6I5RKZbCpL19HzFV5RyyVH4zl7+7VccuPWAd/4Vi2X3Dkcc+tOLQFe3Ztwc6+WJ58ZZRyOm4bp5Td3eG2nlifHOh5zsE/DzVMVOdGChkJNooi9SUxivldHkyl7h7VckpUV6KbbJ81y0rQ5C1dlSbSo5ZLb+wfceGOf2/ur6+zrivn4kL5xS92ZzjiONHes3ZniLCcvW5s9TWbsHE85tApcQq1ZTMeEdoC3yDkcNw1HlqbsTcYnMZu8LNE0J1hlWVFUjvbdUbN99zyKuHk0Zm49i+2W3mBiO63U2TbO1hibCthkhfB44lpaHi8W3JlFHFs+8oGCVNcS4Js05UXCFbR+pSUBXp01JcDnyqY82K9jFgdW36Wbt+qK6Zu3VmPHe/XnHe+txl54uf68F15ejc3nMKVlYG7V9/G2Od43X4Xf17Vcoor6fcryg90+KHhtXMslRVmvcOzuBIcH8EpayyWv34abcS0BZgfwWlLLJZMp3IlrefKZu5oX92u5ZDyrOJjW8uR+LCrSopZLpnHE9IiTYrI4yZhManlyrMmY1984ZmytcGbzGTu7urFv9iSOSbJaLrkzGbN7UMslL9/a4cYbtQQY6IrFrJZL4jRhMonrgr7lPZtNuL0/43BmrSR8n63tVRU7wP5kysFsxr51k0pdp44uW5BvhSGB7zUSAuZJwrRVDHc0W7AzTTiarZ67eRSzP21WgfcD04zPcum6Ngxq87D7G13UFFMXYhDYkMKmzWygGWmqq3ct/2k0rWfXkfnev0FTXkZeaElYbeG5lC/rpoR6pm5LgJtpUwLcSpoSYHxYryTGViDk1UlTvrRXu7tesozLG7fgyMgl3361Lu77tmU4Dnbh94taLjnarXtHHVljZVT/7Uoz8dw/qrO59q0VzvFxbYTsDYkWk9rw2TvbFRHsVLVc0veN681yfd++k3Jjr5YAsynsxbVc8vreIbf3a7nktZ05N96s5ZLxJOHNN2q5xNMl6aKWJ8d7PefLu7UE2BlPOZ7Ucsl0Wq+qplY2lcvlNTk+5saNGRPrhhyOx+zs1HJJHCcczqYnlex5VVJVFXllrxAKkqzZK6nMMg7GR40uvUmecjRfFYSCO2upXX/ichm5t95c1wnulFVX+mszIeUyrSzEILCpmyJUVXM3rbIoSfNmFejnvl0rwM99+y084QvA6y25aezVloS6dbctAa5HTQnrK5p2ui3Aq1lTAnw9bkqA33mj3nb0dyxLfStuSoAX9pryzrQpAXbu1EZox0oR29mvq9HtTrVf/UZt5L76jdXY7dvwdd10q33zNfiGkQCvvVavjF57bfWayT68OK7lkv3bteHbt451dAR7Ri7Z29XcmNdyyXhauwWX+n//DrwyqeXJ8acRe+NaLtndjXn9di2XvPTmxLhNV9bw9m7K12/XcsnhbMrewYxDY+mOxlNu7+ccWUao1pnN4PY0iTlaJI12MHGSMmv1bHLVCXmeR2i1P2lv0gPu9truLKNu2UjtxpiXKfYgBmEDrnbAb+7d4eVvLHjTCny66gkeV3ZaEuoZuC3BXX3tMhKvt+SbLQnwUktuGnO5xr7YkgBfa8n/ryUBfqslAb7akgBfaEmAz7xZTyA+Y13Ea1FT/oeWBPjKjdq4fMXqa3LDGKEblpF4+Vv1ivVl6wv5yjfrsVcsP2aV1S6/yujOF78Ft41ccucNeCGu5ZKvv1bfm6/bxmoPXtS1XHLrdn28W5axunl7n5deqSXURYU7OzSLCvOcRZRSWQp7b/+AV761z54VA8mK4uTfkuPZjG/vHzWSBMqqYBZFlKY4cBZH7BxPmVlFf2VZEifNrq5aV6Rps86h657N7caYXQvfLgIXxiAopT6klHpFKXVDKfXxt/az1y340WTC13fuNJq+femFiF+/XUtBsNlryU24KtTbRui1lgT41y0J8G9bEuB3WhLga1VTAnx53pT/hqYE+Kd36hTlf2qtGr4+a0qAb+zWxuUbluvt9lFdd3PbWqn8my/Bv8tqCXB0CHcWtTw51pu7/P7v13LJt24f8fqbtVwyGR/z+us5Eyvd+PbBPi9+6xa3rcDW7uExX7u5x66pSYmTjFmSNeMzszmvH4wZW1XmaWa2SbVaeRRFwTxKTDfWGre7qWkALmoRmosLYRCUUj7w94A/D7wX+CtKqfe+VZ/v2tv15Vdf5bf+7S1efnXl7PjFwzpr5xcPHQcRhAuKa2XVXpG5alRc9S2ulZbLmLgM2Od1U37qldrl9SnrYL/4Zbhu5JIvXYcvJrVc8tv/NuKf79ZyyX94aY/f+lotl7z86qt8/t+9dvIcH+zv8ru//xoH+yuDs3d4xO99+yZ7hyuDU1WmcaAV35jMIm5PIyazyHrdegFrm64xiq48zCD1hTAIwAeAG1rrb2mtM+CXgO9/GB/0yU/+C9798X/BJz/5L07G/vCP/Sb/6d/+PH/4x37zZOxHfyvmX+7XUhCEtwaXC/a3WxLgV+ZNCfCpr9dG71NfX4391d+Y82s3awnwP/7KHv/gm7Vc8qv/7GX+l1/f5Vf/2Srt7fe++lX+r898kd/76soJeHh8yJe+8Q0Oj1cmcj6PuHk4Zm7lma9XRxfMF82VRZ4XLOLmdrwuRe8OWj+8IPVFMQjP0ZzA3DRjDZRSH1VKXVdKXd/f32//uhM/ddyUgiA8Prhcdr+x25QAX3jpkJ2klkt2FzG5GrG7WE0S56nZCMjeJbC1DWuSFiRlLZe4vBIuRe8ae5guqItiEFxXtmb+tNY/rbV+Xmv9/LPPPnuqD/qRJ5tSEIRHlz/fkh+92pQAf+NP1X7qv/GnVmN/6T9/F+99Wy2XvO+57+B9bx/xvudWTeuf2h7xtq2Ap7ZXXWiDwGz8Y6qtB/2AgV/LJf1+wDDw6FtjXYPWD7MPkroIxRJKqT8J/C2t9feZ/38CQGv9v216z/PPP6+vX7++6deCIAiCA6XUC1rr512/uygrhC8D71FKfadSKgQ+DHz2nM9JEAThsSK490sePlrrQin1V4HfoN7U62e11i/e422CIAjCA+RCGAQArfWvA79+3uchCILwuHJRXEaCIAjCOSMGQRAEQQDEIAiCIAgGMQiCIAgCcEHqEE6DUmqfZnPMTTxDc0+Yy8hlvwY5//Pnsl+DnP+D4w9orZ2VvZfWIHRFKXV9UxHGZeGyX4Oc//lz2a9Bzv+tQVxGgiAIAiAGQRAEQTA8Dgbhp8/7BB4Al/0a5PzPn8t+DXL+bwGPfAxBEARB6MbjsEIQBEEQOiAGQRAEQQAecYOglPqQUuoVpdQNpdTHz/t8uqCU+lml1J5S6mvW2FNKqc8rpb5p5IXc3kcp9S6l1L9SSr2slHpRKfWjZvxSnD+AUmqglPpdpdTvmWv4X834pbkGqPcpV0r9B6XUPzf/vzTnr5R6XSn1VaXUV5RS183YpTl/AKXUE0qpX1ZKfd08D3/yMlzDI2sQlFI+8PeoN0t6L/BXlFLvPd+z6sTPAR9qjX0c+ILW+j3AF8z/LyIF8Ne11n8E+CDwMXPPL8v5A6TAn9Va/zHg/cCHlFIf5HJdA8CPAi9b/79s5/9ntNbvt3L3L9v5/5/Av9Ra/yfAH6P+W1z8a9BaP5L/gD8J/Ib1/08Anzjv8+p47u8Gvmb9/xXgHebndwCvnPc5dryOXwP+60t8/iPg3wP/xWW6BuCd1ArnzwL//LJ9h4DXgWdaY5fp/K8Cr2GSdi7TNTyyKwTgOeBN6/83zdhl5O1a69sARr7tnM/nniil3g38ceBLXLLzN+6WrwB7wOe11pftGv4P4H8GKmvsMp2/Bn5TKfWCUuqjZuwynf8fBPaB/8e47f6+UmqLS3ANj7JBcO1ALTm2bwFKqSvAPwH+mtZ6et7nc79orUut9fupZ9ofUEr90XM+pc4opf4isKe1fuG8z+UMfLfW+k9Qu3s/ppT60+d9QvdJAPwJ4Ke01n8cWHAR3UMOHmWDcBN4l/X/dwI753QuZ2VXKfUOACP3zvl8NqKU6lEbg3+otf4VM3xpzt9Gaz0Gfoc6pnNZruG7gf9GKfU68EvAn1VK/QMuz/mjtd4xcg/4VeADXKLzp9Y9N83KEuCXqQ3Ehb+GR9kgfBl4j1LqO5VSIfBh4LPnfE6n5bPAR8zPH6H2zV84lFIK+BngZa3137V+dSnOH0Ap9axS6gnz8xD4r4Cvc0muQWv9Ca31O7XW76b+zv+21vq/5ZKcv1JqSym1vfwZ+HPA17gk5w+gtb4DvKmU+sNm6HuBl7gE1/BIVyorpf4CtT/VB35Wa/3j53tG90Yp9Y+A76Ful7sL/BjwT4HPAP8R8Abwg1rro3M6xY0opf5L4P8FvsrKf/03qeMIF/78AZRS/xnwaervjAd8Rmv9t5VST3NJrmGJUup7gP9Ja/0XL8v5K6X+IPWqAGrXyy9qrX/8spz/EqXU+4G/D4TAt4D/HvN94gJfwyNtEARBEITuPMouI0EQBOE+EIMgCIIgAGIQBEEQBIMYBEEQBAEQgyAIgiAYxCAIgiAIgBgEQRAEwfD/A0zoZEe2W+rIAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(title_lengths, data['up_votes'],marker='.',s=10, alpha=0.01)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5413a199",
   "metadata": {},
   "source": [
    "## Summary "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "664438fe",
   "metadata": {},
   "source": [
    "informative features:\n",
    "- `time_created`\n",
    "- `up_votes`\n",
    "- `title`\n",
    "- `author`\n",
    "\n",
    "additional features:\n",
    "- `day_of_the_week`\n",
    "- `title_length`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8f61bef4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}