2_inital_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import psycopg2\n",
    "from sqlalchemy import create_engine\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# set the default chart size\n",
    "pylab.rcParams['figure.figsize'] = (15, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a connection to the database\n",
    "conn = psycopg2.connect(\"\"\"dbname='postgres' \n",
    "                           user='postgres' \n",
    "                           password='apassword' \n",
    "                           host='localhost' \n",
    "                           port='5432'\n",
    "                        \"\"\")\n",
    "\n",
    "# connect to the database\n",
    "engine = create_engine('postgresql+psycopg2://postgres:apassword@localhost/postgres')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# load ALL data from the table \"backpage\" and store the results into a pandas dataframe\n",
    "df = pd.read_sql(sql='backpage', con=engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# sort the dataframe by post date\n",
    "df.sort_values('post_date', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>7419425</td>\n",
       "      <td>http://lafayette.backpage.com/WomenSeekMen/337...</td>\n",
       "      <td>WomenSeekMen</td>\n",
       "      <td>Lafayette</td>\n",
       "      <td>West South Central</td>\n",
       "      <td>Lafayette, Lafayette,La</td>\n",
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       "      <td>Evangaline Thruway at Pinhook,70501  google ma...</td>\n",
       "      <td>South</td>\n",
       "      <td>2017-09-27 21:30:38</td>\n",
       "      <td>lafayette</td>\n",
       "      <td>Louisiana</td>\n",
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       "      <th>317</th>\n",
       "      <td>317</td>\n",
       "      <td>26454038</td>\n",
       "      <td>http://neworleans.backpage.com/WomenSeekMen/gi...</td>\n",
       "      <td>WomenSeekMen</td>\n",
       "      <td>New Orleans</td>\n",
       "      <td>West South Central</td>\n",
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       "      <td></td>\n",
       "      <td>9852769446</td>\n",
       "      <td>I'm a mature, naturally voluptuous woman with ...</td>\n",
       "      <td>2017-07-21 09:36:00</td>\n",
       "      <td>Giggler, tickler, lover of life and.......TRAV...</td>\n",
       "      <td>59</td>\n",
       "      <td>South</td>\n",
       "      <td>2017-09-27 21:24:41</td>\n",
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       "      <td>Louisiana</td>\n",
       "      <td>2017-07-21 09:36:00-26454038-neworleans-WomenS...</td>\n",
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       "      <td>http://batonrouge.backpage.com/WomenSeekMen/gi...</td>\n",
       "      <td>WomenSeekMen</td>\n",
       "      <td>Baton Rouge</td>\n",
       "      <td>West South Central</td>\n",
       "      <td>Baton Rouge, Travel to you ONLY, by request. 1...</td>\n",
       "      <td></td>\n",
       "      <td>9852769446</td>\n",
       "      <td>I'm a mature, naturally voluptuous woman with ...</td>\n",
       "      <td>2017-07-21 09:37:00</td>\n",
       "      <td>Giggler, tickler, lover of life and.......TRAV...</td>\n",
       "      <td>59</td>\n",
       "      <td>South</td>\n",
       "      <td>2017-09-27 21:35:19</td>\n",
       "      <td>batonrouge</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>2017-07-21 09:37:00-26454103-batonrouge-WomenS...</td>\n",
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       "      <th>843</th>\n",
       "      <td>834</td>\n",
       "      <td>27226308</td>\n",
       "      <td>http://batonrouge.backpage.com/WomenSeekMen/hi...</td>\n",
       "      <td>WomenSeekMen</td>\n",
       "      <td>Baton Rouge</td>\n",
       "      <td>West South Central</td>\n",
       "      <td>Baton Rouge</td>\n",
       "      <td></td>\n",
       "      <td>8325671539</td>\n",
       "      <td>MiNd BLNG LiPs ToECurlingTricks!!  REAL utSwt&amp;...</td>\n",
       "      <td>2017-08-06 11:17:00</td>\n",
       "      <td>Hi gentlemen  in town Mz.Brittaney Blu - 22</td>\n",
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       "      <td>2017-09-27 21:35:18</td>\n",
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       "      <td>27516698</td>\n",
       "      <td>http://batonrouge.backpage.com/WomenSeekMen/sw...</td>\n",
       "      <td>WomenSeekMen</td>\n",
       "      <td>Baton Rouge</td>\n",
       "      <td>West South Central</td>\n",
       "      <td>Baton Rouge</td>\n",
       "      <td></td>\n",
       "      <td>2252024581</td>\n",
       "      <td>Sweet loving pretty an Fun ready to kick it I'...</td>\n",
       "      <td>2017-08-12 18:00:00</td>\n",
       "      <td>sweet apple  - 27</td>\n",
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       "      <td>2017-09-27 21:35:17</td>\n",
       "      <td>batonrouge</td>\n",
       "      <td>Louisiana</td>\n",
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      ],
      "text/plain": [
       "      id     ad_id                                             ad_url  \\\n",
       "594  592   7419425  http://lafayette.backpage.com/WomenSeekMen/337...   \n",
       "317  317  26454038  http://neworleans.backpage.com/WomenSeekMen/gi...   \n",
       "844  835  26454103  http://batonrouge.backpage.com/WomenSeekMen/gi...   \n",
       "843  834  27226308  http://batonrouge.backpage.com/WomenSeekMen/hi...   \n",
       "842  833  27516698  http://batonrouge.backpage.com/WomenSeekMen/sw...   \n",
       "\n",
       "         category         city            division  \\\n",
       "594  WomenSeekMen    Lafayette  West South Central   \n",
       "317  WomenSeekMen  New Orleans  West South Central   \n",
       "844  WomenSeekMen  Baton Rouge  West South Central   \n",
       "843  WomenSeekMen  Baton Rouge  West South Central   \n",
       "842  WomenSeekMen  Baton Rouge  West South Central   \n",
       "\n",
       "                                             locations other_ads       phone  \\\n",
       "594                            Lafayette, Lafayette,La                         \n",
       "317  French Quarter / CBD, New Orleans, Travel to y...            9852769446   \n",
       "844  Baton Rouge, Travel to you ONLY, by request. 1...            9852769446   \n",
       "843                                        Baton Rouge            8325671539   \n",
       "842                                        Baton Rouge            2252024581   \n",
       "\n",
       "                                             post_body           post_date  \\\n",
       "594                                  ***** KELLI ***** 2013-01-12 00:13:00   \n",
       "317  I'm a mature, naturally voluptuous woman with ... 2017-07-21 09:36:00   \n",
       "844  I'm a mature, naturally voluptuous woman with ... 2017-07-21 09:37:00   \n",
       "843  MiNd BLNG LiPs ToECurlingTricks!!  REAL utSwt&... 2017-08-06 11:17:00   \n",
       "842  Sweet loving pretty an Fun ready to kick it I'... 2017-08-12 18:00:00   \n",
       "\n",
       "                                            post_title  \\\n",
       "594  {337} 354 ~ 5812 For All Of Adult Entertainmen...   \n",
       "317  Giggler, tickler, lover of life and.......TRAV...   \n",
       "844  Giggler, tickler, lover of life and.......TRAV...   \n",
       "843        Hi gentlemen  in town Mz.Brittaney Blu - 22   \n",
       "842                                  sweet apple  - 27   \n",
       "\n",
       "                                            poster_age region  \\\n",
       "594  Evangaline Thruway at Pinhook,70501  google ma...  South   \n",
       "317                                                 59  South   \n",
       "844                                                 59  South   \n",
       "843                                                 22  South   \n",
       "842                                                 27  South   \n",
       "\n",
       "            scrape_date     site_id      state  \\\n",
       "594 2017-09-27 21:30:38   lafayette  Louisiana   \n",
       "317 2017-09-27 21:24:41  neworleans  Louisiana   \n",
       "844 2017-09-27 21:35:19  batonrouge  Louisiana   \n",
       "843 2017-09-27 21:35:18  batonrouge  Louisiana   \n",
       "842 2017-09-27 21:35:17  batonrouge  Louisiana   \n",
       "\n",
       "                                               uniq_id  \n",
       "594  2013-01-12 00:13:00-7419425-lafayette-WomenSee...  \n",
       "317  2017-07-21 09:36:00-26454038-neworleans-WomenS...  \n",
       "844  2017-07-21 09:37:00-26454103-batonrouge-WomenS...  \n",
       "843  2017-08-06 11:17:00-27226308-batonrouge-WomenS...  \n",
       "842  2017-08-12 18:00:00-27516698-batonrouge-WomenS...  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show a sample of the data\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fef1997a3c8>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mPQ/W9rjuqqYN5G/edvtbj1m36HuN1vq83MQcM8z3+Noyq/yGaurttaWrfI81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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fef1997afd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the number of ads by date\n",
    "df.post_date.groupby(df.post_date.dt.date).count().plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# subset the dataframe to only include ads posted after September 19th\n",
    "df = df[df.post_date.dt.date >= datetime.date(2017,9,19)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fef192ab940>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8jHxamPbybl0UpXV6AjASuB/fZSFaU5IA36bplDnSZfYvq+qu7qrSGF4B7GaA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\nkiRJ6oH/Dw7mKZCo2pBMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fef2224a860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the number of records by city\n",
    "df.city.value_counts().plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fef1877d048>"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Xz13CHnXjeafOXcID0nMHAAAwAOEOAABgAMIdAADAAIQ7AACAAQh3AAAAAxDuAAAABiDc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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fef18794908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot which days of the week ads are post on\n",
    "df.post_date.dt.weekday_name.value_counts().plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fef18824b38>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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eBe4bk1yzEYGmXdE+vBHbXpJhUxS4JOnuG+9m2YYXuCSZZqA2pMBN278wi72J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\nVkGJAwAAGIgSBwAAMBAlDgAAYCD/Hy52gWA+Gvs4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fef18722128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot which days of the hours ads are post on\n",
    "df.post_date.dt.hour.value_counts().plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8890749267475931"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what percentage of ads have at least one phone number extracted?\n",
    "len(df[df['phone'] != '']) / len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# subset the dataframe to only include Baton Rouge\n",
    "br = df[df['city'] == 'Baton Rouge']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1301"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count how many ads are in Baton Rouge\n",
    "len(br)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# drop ads without phone numbers\n",
    "br = br[br['phone'] != '']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1208"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count how many ads are still in Baton Rouge\n",
    "len(br)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fef191156a0>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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UJEmSJGlgDGqSJEmSNDAGNUmSJEkaGIOaJEmSJA2MQU2SJEmSBsagJkmSJEkDY1CTJEmS\npIExqEmSJEnSwKw3qCV5f5Ibk1wwa902SU5Kcnn7e+ulLVOSJEmSpsd8jqgdBey71rrDgJOramfg\n5PaxJEmSJKkD6w1qVfVV4HtrrT4AOLpdPho4sOO6JEmSJGlqbeg1attV1XXt8vXAdh3VI0mSJElT\nb9GTiVRVAbWu7UkOTXJmkjPXrFmz2H9OkiRJkibehga1G5JsD9D+vnFdT6yqI6pqdVWtXrly5Qb+\nc5IkSZI0PTY0qB0PHNwuHwwc1005kiRJkqT5TM9/DPB14NFJrklyCHA4sE+Sy4FntY8lSZIkSR1Y\nsb4nVNVL1rFp745rkSRJkiTRwWQikiRJkqRuGdQkSZIkaWAMapIkSZI0MAY1SZIkSRoYg5okSZIk\nDYxBTZIkSZIGxqAmSZIkSQNjUJMkSZKkgTGoSZIkSdLAGNQkSZIkaWAMapIkSZI0MAY1SZIkSRoY\ng5okSZIkDYxBTZIkSZIGxqAmSZIkSQNjUJMkSZKkgTGoSZIkSdLAGNQkSZIkaWAMapIkSZI0MAY1\nSZIkSRoYg5okSZIkDYxBTZIkSZIGxqAmSZIkSQNjUJMkSZKkgTGoSZIkSdLAGNQkSZIkaWAMapIk\nSZI0MAY1SZIkSRoYg5okSZIkDYxBTZIkSZIGxqAmSZIkSQNjUJMkSZKkgTGoSZIkSdLAGNQkSZIk\naWAMapIkSZI0MAY1SZIkSRoYg5okSZIkDYxBTZIkSZIGxqAmSZIkSQNjUJMkSZKkgVlUUEuyb5JL\nk/xHksO6KkqSJEmSptkGB7UkGwPvAfYDHge8JMnjuipMkiRJkqbVYo6oPRn4j6q6oqruBD4KHNBN\nWZIkSZI0vVJVG/aHyW8C+1bV77aPXwY8papes9bzDgUObR8+Grh0w8tdNtsCN/VdxASxn92xl92y\nn92yn92xl92yn92yn92xl90aSz8fWlUr1/ekFUtdRVUdARyx1P9Ol5KcWVWr+65jUtjP7tjLbtnP\nbtnP7tjLbtnPbtnP7tjLbk1aPxdz6uO1wI6zHu/QrpMkSZIkLcJigtoZwM5JHpZkU+DFwPHdlCVJ\nkiRJ02uDT32sqruSvAb4ArAx8P6qurCzyvo1qlM1R8B+dsdedst+dst+dsdedst+dst+dsdedmui\n+rnBk4lIkiRJkpbGom54LUmSJEnqnkFNkiRJkgbGoCZJkiRJA2NQkyRJkqSBMahJkiRJ0sAY1H6O\nJJ/vu4YxSfKgJO9L8p4kD0zy1iTnJzk2yfZ91zc2Sc5O8uYkj+i7lkmQZIsk70zyoSS/tda29/ZV\n1xj5Wu9Wks2T/HmSC5PcmmRNkm8keXnftY1Rki2THJ7kkiTfS/LdJBe367bqu74xcWx2K8nqJKck\n+XCSHZOc1Pb1jCS79V3f2ExDP6c+qCXZfR0/ewC79l3fyBwFXAR8GzgF+CGwP/CvwD/0V9ZobQ1s\nBZyS5PQkb0jy4L6LGrEPAAE+Cbw4ySeTbNZu27O/skbpKHytd+kjwBXAc4C3AX8PvAx4RpJ39FnY\nSB0L3Aw8vaq2qaoHAs9o1x3ba2Xj49js1nuBdwEnAF8D/rGqtgQOa7dpYSa+n1N/H7UkdwNfofkA\nt7Y9q+p+y1zSaCX5ZlXt1i5fXVU7zdp2TlUZfBcgydlVtXu7/CvAS4DfAC4Gjqmqibqp41Jbewwm\neRNNuHg+cNJMr7V+vta7leTcqtpl1uMzqupJSTYCLqqqx/RY3ugkubSqHr3QbfpZjs1uree9895t\nmp9p6OeKvgsYgIuB36uqy9fekOTbPdQzZrOP0H7w52zTAlXVvwL/muS1wD7AiwCD2sJslmSjqroH\noKrenuRa4KvA5v2WNjq+1rt1e5KnVdW/JXk+8D2AqronyVxfIurnuyrJfweOrqobAJJsB7yc5iiw\n5s+x2a0fJXk2sCVQSQ6sqs8k+TXg7p5rG6OJ76dBDd7Kuj9YvHYZ65gExyXZvKp+UFVvnlmZ5JHA\nZT3WNVY/07Oquhs4sf3Rwvw/4JnAl2ZWVNVRSa4H/k9vVY2Tr/Vu/T5wZJJHARcAhwAkWQm8p8/C\nRupFNKc+fSXJL7brbgCOBw7qrapxcmx26/dpTtW7h+Z00j9IchRwLXBoj3WN1cT3c+pPfZQkSZKk\noZn6I2pJNgVeDHynqr7Uzgb3yzSnRB5RVT/ptcARSfIU4OKqui3J/Wi+0dydZtKBd1TVrb0WOEJJ\nngxUVZ2R5HHAvsAlVfW5nksbpSSPAR4CnFZVP5i1ft+q8ihlB5K8oqo+0HcdY5Pk4TTXoO5Ic8rO\nZcC/VNVtvRY2QrP269dW1cnu1xenfd88gOa9E5qjFcdX1cX9VTVOfk5aPpOyL5r6I2pJPkITWO8P\n3EJzrcqngL1p+nNwj+WNSpILgV2q6q4kRwB3AJ+g6eUuVfUbvRY4MkneAuxHMz5PAp5CM8PePsAX\nqurtPZY3OkleB/whzYe1XYHXV9Vx7bZ7J27R4qx9QbfWrx2bv04zsdX+wDdp9kcvAF5dVaf2V934\nuF/vTpI/pZnI6qPANe3qHWiC8Eer6vC+ahsjPyctn0nZFxnUkvOq6olJVtB8S/Tgqrq7vUj23Kp6\nYs8ljkaSi6vqse3yfT74OhPcwiU5nyZQbAZcD+ww61u40xybC9P286lV9YMkq2h2jh+qqndPyuxQ\nyyXJeevaBDyqqjZbx3bNYea13u577g98rqqenmQn4DjH5sK4X+9OksuAx699FLI9anlhVe3cT2Xj\n5Oekbk3DvmjqT30ENmrfcB5A8+3bljSzGm0GbNJnYSN0waxDzecmWV1VZ7YXIXuqycLd1U4eckeS\nb82cAlVVP0xyT8+1jdFGM6c7VtWVSZ4OfCLJQ5n79hxat+1oLty+ea31obmXjRZuBc0pj5vRzkJa\nVVcncT+0cO7Xu3MP8GDgqrXWb99u08L4OalbE78vMqjBPwOXABsDbwI+nuQKmhvgfrTPwkbod4F3\nJ3kzcBPw9fYWB99ut2lh7kxy/6q6A9hjZmWSLXEHuSFuSLJrVZ0D0B5Zex7wfuAJ/ZY2Op8FNp/p\n5WxJTl3+ckbvSOCMJKcBvwL8Jdw7s973+ixspNyvd+ePgJOTXM5Pb22wE/BI4DW9VTVefk7q1sTv\ni6b+1EeAJA8GqKrvJNkKeBZwdVWd3m9l45RkC+BhNF8EXDNzHxstTJLNqurHc6zfFti+qs7voazR\nSrIDzVHK6+fYtldV/XsPZUkAJHk88Fjggqq6pO96xs79enfS3Nz6ydx3MpEz2jM+tAH8nKT5MqjN\nIck2VeW3mB2wl4uTZEVV3dUubw48BrjCni5ee8+vXWhm4Lqo73rGztd6t+xnt+xnd+zl4rU3YL83\n+BrUujGJ+/V13eh5arSHn2eWH9deOHtWkivbaVQ1T0n2SnJxkguTPCXJSTSn83w7yVP7rm9skryc\n5nS9y5LsB5xHc0rUuUle0mtxI5TklPZoJEleBnyOZlbNjyXx5vYL4Gu9W/azW+7Xu2Mvu5Vk1yTf\nAE6luVHzu2huzP6NJM48vEBTsV+vqqn+Ac6etXwCsF+7/GTga33XN6Yf4HSaa32eSnPu9dPa9bsD\n/953fWP7Ac4HtqU5PeI24BHt+u2A8/qub2w/NKeUzSyfATywXb6//VxwL32t28/B/rhft5dD/QHO\nAZ4yx/o9aWYk7b3GMf1Mw37dyUTu6yFV9XmAqjq9nQZd87dJtddNJVlTVf8GUFVn28sNcndV3QTc\nlOQHVfUtgKq6oZllWgv0kyQPqaprgR8At7frf0wz6YDmz9d6t+zn0nG/3h17uXgPqKrT1l5ZVd9I\n8oA+Chq5id+vG9Tg4UmOp5nKc4dZs+yB0/gu1OxTad+41rZNl7OQCXF1kncC/wW4JMnf0Ny09VnA\ndb1WNk5vAL6Y5JPAhcCXk3wBeBrwgV4rGx9f692yn91yv94de9mtzyc5AfggP51Fc0fgd4ATe6tq\nvCZ+v25QgwPWerwR3Huh5/uWv5xR+x8zb+JV9ZmZlUkeQfOmpIV5KfCHwK3AYcC+NB/irgZe3l9Z\n41RVpyb5ZeC3aMLvWcCPgNeWs+wtlK/1btnPbrlf74697FBVvS7J/sDzue8smu+pqs/1V9k4TcN+\n3VkfJUmSJGlgpn7Wx7m0sxppgZKsSPJ7SU5Mcl778/kkv5/EUyQWaFY/P28/F89+difJa2bNtPXI\nJF9NckuS05L8Ut/1jU2Sjdux+RdJ9lpr25vX9XeaW5JPJfntNLc00SL4vtmtJA9P8v4k/yvJ5kn+\nKckFST6eZFXf9Y3NNIzPqT+iluT7QNGcfz3j/sAdQFXVFr0UNkJJjgFuAY4GrmlX7wAcDGxTVS/q\nq7Yxsp/dsp/dSXJhVT2+XT4BOLKqPp3k6cDbq2qvn/sf0H0kOZJmv3M68DLgK1X1X9ttZ1eV03Yv\nQJJrga8DzwS+BBwDnFBVd/Za2Aj5vtmtJF+lGY9b0lzecBTwMeDZwG9X1TP7q258pmF8GtSSvwe2\nAv6k2hsOJvnPqnpYv5WNT5LLqupRC92mudnPbtnP7iS5tKoe3S6fUVVPmrXtvKp6Yn/Vjc/sniVZ\nAbyX5tYcLwG+UVW79Vnf2CT5ZlXtlmQLmmusXgI8CfgscExVfbHXAkfE981uzYzNdvnqqtpprm2a\nn2kYn1N/6mNVvQ54N3BMktcl2YjmCJsW7ntJXtj2EIAkGyV5EXBzj3WNlf3slv3szieSHJXk4cCn\nk/xRkocmeQXNZDdamHtndqyqu6rqUJr7LX0Z8PS9hSuAqrqtqj5UVfsDjwFOo5mYSfPn+2a37kny\nqCRPAu6fZDU0p5A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l0bOOTPr4nPqgluS1NPdVuZjmQs7XV9Vx7bazJ+H81uViL7uV5Pi1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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fef1911dbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# find the top 10 most common phones numbers in Baton Rouge\n",
    "br['phone'].value_counts()[:10].plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "# filter data for just one phone number and create a new dataframe\n",
    "top_num = br['phone'].value_counts().index[0]\n",
    "top = df[df['phone'] == top_num]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fef190b53c8>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fef19158828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# count number of ads per hour for the top phone number\n",
    "top.post_date.dt.hour.value_counts(sort=False).plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}