{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Created by: [SmirkyGraphs](http://smirkygraphs.github.io/). Code: [GitHub](https://github.com/SmirkyGraphs/Python-Notebooks). Source: [BOE](http://ricampaignfinance.com/ExportDocs/6965-RICF2-160792-43966812-d159-4dac-b269-a3bef8d5708b.pdf)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gina Donation Q3 2017\n",
    "<hr>\n",
    "\n",
    "## Index\n",
    "\n",
    "- [Breakdown](#Breakdown)\n",
    "- [Data Importing & Exploring](#Data)\n",
    "- [When Donations Occured](#When)\n",
    "- [What Was Donated](#How-Much)\n",
    "- [Where Donations Came From](#Where)\n",
    "- [Where RI Donations Came From](#RI)\n",
    "- [In State vs. Out of State](#Vs)\n",
    "- [Where People Worked](#Work)\n",
    "- [Who Donated](#Who)\n",
    "- [Donations 1k and Over](#1k)\n",
    "- [When Out of State passes In State](#When2)\n",
    "- [Top 4 Most Frequent Donations](#top4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Breakdown\n",
    "\n",
    "### General Info\n",
    "\n",
    "$525,881.75 was raised from 992 contributions from 29 different states\n",
    "\n",
    "\n",
    "### When Donations Occured\n",
    "\n",
    "- More donations later in the quarter 55% of the people donated in September\n",
    "- Only 14% of donations were in the first month of the quarter\n",
    "- Most of the money was raised outside of weekends, Sunday being the lowest and Tuesday being the highest\n",
    "\n",
    "### What Was Donated\n",
    "\n",
    "- 53% (525) were paid by Credit/Debit\n",
    "- 45% (448) were paid by Check\n",
    "- 992 donations from 904 doners\n",
    "- 525881.75 was raised\n",
    "- Average was 530\n",
    "- Highest was 1174.25, lowest was 1\n",
    "- Top 5 most frequent in order were: 1000, 500, 250, 25, 10 \n",
    "\n",
    "### Where Donations Came From\n",
    "\n",
    "- 29 diffrent States\n",
    "- 225 different Cities\n",
    "- Top 5 States in order by value: RI, NY, MA, CT, CO\n",
    "- Top 5 Cities in order by value: Providence, New York, Barrington, Jamestown, Denver\n",
    "\n",
    "### Where RI Donations Came From\n",
    "\n",
    "This looks specifically at donations where the person was living in Rhode Island\n",
    "\n",
    "- 600 donations from RI\n",
    "- Donations from 36 of the 39 municipalities in RI\n",
    "- Top 5 cities/towns in order: Providence, Barrington, Jamestown, East Greenwich, Cranston\n",
    "- Providence made up 29% of the doners from RI\n",
    "- Providence made up 29% of the total donated from RI\n",
    "- Counties in order by number of doners: Providence, Washington, Newport, Kent, Bristol\n",
    "- Counties in order by sum donated: Providence, Newport, Washington, Bristol, Kent\n",
    "\n",
    "### In State vs. Out of State\n",
    "\n",
    "Comparing donations based on whether they live in RI or not\n",
    "\n",
    "- 60% (600) of donations were from Rhode Island\n",
    "- 40% (392) of donations were from another state\n",
    "- 47% (248681.22) of money donated was from Rhode Islanders\n",
    "- 53% (277200.53) of money donated was from out of state\n",
    "- Average in state 414\n",
    "- Average out of state 707\n",
    "\n",
    "### Where People Worked\n",
    "\n",
    "- 489 unique Employers\n",
    "- 65,309 raised from Retirees\n",
    "- 38,680 raised from Homemakers\n",
    "- 16,731 from Self-Employed\n",
    "- 15,261 from \"Info Requested\" (Left Empty)\n",
    "- Top 5 Companies: RI Medical Imaging, Pfizer Inc, General Dynamics, Citizens Bank, Pannone Lopes & Devereaux & West LLC\n",
    "\n",
    "\n",
    "- All Values Included\n",
    "\n",
    "    - 56% (557) Worked In RI\n",
    "    - 44% (435) Worked Outside RI\n",
    "    - 44% (230305.00) Of the Money came from people who work in RI\n",
    "    - 56% (295576.75) Of the Money came from people who work out of state\n",
    "\n",
    "\n",
    "- Extras Removed\n",
    "\n",
    "    - 55% (541) Worked in RI\n",
    "    - 45% (434) Worked Outside RI\n",
    "\n",
    "### Who Donated\n",
    "\n",
    "- 97% of Donations came from Individuals\n",
    "- 904 Unique Doners\n",
    "- 8 Interest, 7 PAC, 5 Party Donations\n",
    "- Top 5 first names: David, Michael, Susan, William, Robert\n",
    "- Top 5 last names: Ardaya, Kelly, Richardson, Sipprelle, Rogers\n",
    "\n",
    "### Donations 1k and Over\n",
    "\n",
    "In state 37%\n",
    "out of state 63%\n",
    "\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<section id=\"Data\"></section>\n",
    "\n",
    "## Data Importing & Exploring"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# For data\n",
    "import pandas as pd\n",
    "from pandas import Series,DataFrame\n",
    "import numpy as np\n",
    "\n",
    "# For visualization\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set_style('darkgrid')\n",
    "%matplotlib inline\n",
    "sns.set()\n",
    "import datetime\n",
    "\n",
    "my_color = sns.color_palette()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# loading the data\n",
    "df = pd.read_csv(\"gina.csv\", parse_dates=['receipt_dt'])\n",
    "# removing personal address\n",
    "df = df.drop(['address'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contbr_nm</th>\n",
       "      <th>first_nm</th>\n",
       "      <th>last_nm</th>\n",
       "      <th>tran_type</th>\n",
       "      <th>contb_type</th>\n",
       "      <th>receipt_dt</th>\n",
       "      <th>contb_amt</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>zip</th>\n",
       "      <th>employer</th>\n",
       "      <th>employ_address</th>\n",
       "      <th>employ_city</th>\n",
       "      <th>employ_state</th>\n",
       "      <th>employ_zip</th>\n",
       "      <th>weekday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ingrid Ardaya</td>\n",
       "      <td>Ingrid</td>\n",
       "      <td>Ardaya</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Disabled</td>\n",
       "      <td>11 North Avenue</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ingrid Ardaya</td>\n",
       "      <td>Ingrid</td>\n",
       "      <td>Ardaya</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Disabled</td>\n",
       "      <td>11 North Avenue</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Edna Panaggio</td>\n",
       "      <td>Edna</td>\n",
       "      <td>Panaggio</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Cranston</td>\n",
       "      <td>RI</td>\n",
       "      <td>02920-4529</td>\n",
       "      <td>Homemaker</td>\n",
       "      <td>200 Hoffman Ave</td>\n",
       "      <td>Cranston</td>\n",
       "      <td>RI</td>\n",
       "      <td>02920-4529</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Eve Savitzky</td>\n",
       "      <td>Eve</td>\n",
       "      <td>Savitzky</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Homemaker</td>\n",
       "      <td>21 Lincoln Ave</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Anna Siegler</td>\n",
       "      <td>Anna</td>\n",
       "      <td>Siegler</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-02</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60637</td>\n",
       "      <td>Retired</td>\n",
       "      <td>5715 S. Kenwood Ave, Apt 4N</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60637</td>\n",
       "      <td>Sunday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       contbr_nm first_nm   last_nm     tran_type  contb_type receipt_dt  \\\n",
       "0  Ingrid Ardaya   Ingrid    Ardaya  Credit/Debit  Individual 2017-07-01   \n",
       "1  Ingrid Ardaya   Ingrid    Ardaya  Credit/Debit  Individual 2017-07-01   \n",
       "2  Edna Panaggio     Edna  Panaggio  Credit/Debit  Individual 2017-07-01   \n",
       "3   Eve Savitzky      Eve  Savitzky  Credit/Debit  Individual 2017-07-01   \n",
       "4   Anna Siegler     Anna   Siegler  Credit/Debit  Individual 2017-07-02   \n",
       "\n",
       "   contb_amt        city state         zip   employer  \\\n",
       "0        5.0  Providence    RI        2906   Disabled   \n",
       "1        5.0  Providence    RI        2906   Disabled   \n",
       "2        5.0    Cranston    RI  02920-4529  Homemaker   \n",
       "3       25.0  Providence    RI        2906  Homemaker   \n",
       "4       50.0     Chicago    IL       60637    Retired   \n",
       "\n",
       "                 employ_address employ_city employ_state  employ_zip   weekday  \n",
       "0              11 North Avenue   Providence           RI        2906  Saturday  \n",
       "1              11 North Avenue   Providence           RI        2906  Saturday  \n",
       "2              200 Hoffman Ave     Cranston           RI  02920-4529  Saturday  \n",
       "3               21 Lincoln Ave   Providence           RI        2906  Saturday  \n",
       "4  5715 S. Kenwood Ave, Apt 4N      Chicago           IL       60637    Sunday  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Preview\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 992 entries, 0 to 991\n",
      "Data columns (total 16 columns):\n",
      "contbr_nm         992 non-null object\n",
      "first_nm          971 non-null object\n",
      "last_nm           971 non-null object\n",
      "tran_type         992 non-null object\n",
      "contb_type        992 non-null object\n",
      "receipt_dt        992 non-null datetime64[ns]\n",
      "contb_amt         992 non-null float64\n",
      "city              991 non-null object\n",
      "state             991 non-null object\n",
      "zip               988 non-null object\n",
      "employer          965 non-null object\n",
      "employ_address    930 non-null object\n",
      "employ_city       931 non-null object\n",
      "employ_state      931 non-null object\n",
      "employ_zip        916 non-null object\n",
      "weekday           992 non-null object\n",
      "dtypes: datetime64[ns](1), float64(1), object(14)\n",
      "memory usage: 124.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(992, 16)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "525881.75"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.contb_amt.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 992 Donations in Q3 making a total of $525,881.75<br>\n",
    "Those missing First/Last name are PAC's/Party donations\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<section id=\"When\"></section>\n",
    "\n",
    "## When Donations Occured\n",
    "\n",
    "<br>\n",
    "lets start by how much was raised each day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x30e958cfd0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8ZWcFDBXPe/bswdatWwEA+/fvx4YNG7B161Zs3boVP/vZzwAA27dvx8c+9jFs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rAAAT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\nhBBCCOGg/wfCB+oedS1UIQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30e958c518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "date_df = df.groupby(['receipt_dt'],as_index=False).sum()\n",
    "date_df.plot('receipt_dt','contb_amt',figsize=(12,6),marker='', legend=False,\n",
    "             linestyle='-',color='purple', xlim=('2017-07-01','2017-10-01'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>receipt_dt</th>\n",
       "      <th>contb_amt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2017-09-27</td>\n",
       "      <td>26710.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2017-09-25</td>\n",
       "      <td>23230.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2017-08-28</td>\n",
       "      <td>22805.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2017-08-29</td>\n",
       "      <td>20925.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2017-08-31</td>\n",
       "      <td>20032.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   receipt_dt  contb_amt\n",
       "79 2017-09-27    26710.0\n",
       "77 2017-09-25    23230.0\n",
       "49 2017-08-28    22805.0\n",
       "50 2017-08-29    20925.0\n",
       "52 2017-08-31    20032.6"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top 5 Days\n",
    "date_df.sort_values(by='contb_amt',ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x30e9688d68>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kGLrUQZZlJePblH5ea2uLj4/I+EbGIeOrBr7d5WXJGfgSEVFD0EaZ6cn4+vVP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\nQggh6oT/Dx1UiZyzvSObAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30e95fdb00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "count_df = df.groupby(['receipt_dt'],as_index=False).count()\n",
    "count_df.plot('receipt_dt','contb_amt',figsize=(12,6),marker='',linestyle='-',color='purple', xlim=('2017-07-01','2017-10-01'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x30ea78b358>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TlRyfisHmtMPT41W/xhouBIpcEARBWAqJ5CqISREOL6+6lqJOkcziFp5ucpLNhj23Lha3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\nREQa+B+X6qE6C9z1AwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30ea77ab38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean_df = df.groupby(['receipt_dt'],as_index=False).mean()\n",
    "mean_df.plot('receipt_dt','contb_amt',figsize=(12,6),marker='',linestyle='-',color='purple', xlim=('2017-07-01','2017-10-01'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "weekday_df = df\n",
    "weekday_df['weekday'] = pd.Categorical(weekday_df['weekday'], \n",
    "        categories=['Monday','Tuesday','Wednesday','Thursday',\n",
    "                    'Friday','Saturday', 'Sunday'], ordered=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ChAm4uLiQkZFBeno6bm5uDBkyhI4dO3L27FlGjRrFsWPH8PT0ZPr06fj4+LB1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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30ea8411d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekday_df_sum = weekday_df.pivot_table(index=weekday_df['weekday'], values='contb_amt', \n",
    "                 aggfunc='sum').plot(kind='bar',rot=0,legend=False, title='Sum of Donations by Weekday')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4+/uTMWNGfHx8KFy4cHKGFhERSZceK5Bz5cpFaGio/fI333zzj206d+5M586dU64yERGR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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eaa16e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekday_df_count = weekday_df.pivot_table(index=weekday_df['weekday'], values='contb_amt', \n",
    "                    aggfunc='count').plot(kind='bar',rot=0, legend=False, title='Count of Donations by Weekday')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RA2MMY8eOpX79+sTFxREfH4+vry8hISE4OzsTFRVFZGQkxhiio6Nxc3O7Gj2IiIhUeH/q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\nLOD/AKM1ZiLqdsxMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30e89b5390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekday_df_sum = weekday_df.pivot_table(index=weekday_df['weekday'], values='contb_amt', \n",
    "                    aggfunc='mean').plot(kind='bar',rot=0, legend=False, title='Average Donated by Weekday')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['month'] = df['receipt_dt'].dt.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9    549\n",
       "8    306\n",
       "7    137\n",
       "Name: receipt_dt, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['receipt_dt'].dt.month.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pp9OpJUuWSJKKioo0a9YsBYNBeTwede/eXZKUmpqq9PR0hUIhFRQU3NwjBQDA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\nOgAAliDqAABYgqgDAGCJ/wcOtq6hNStEbAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eabb0a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_sum = df.pivot_table(index=df['month'], values='contb_amt', \n",
    "                 aggfunc='sum').plot(kind='bar',rot=0,legend=False, title='Sum of Donations by Month')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aqi5dumjgwIF6+umnJUnGGDkcDklSeHi4vF6vfD6fPB5P4/vCw8Pl8/la3HjnzmFyuZxn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\nFvg/MROp+g+l6y8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eac4bbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_sum = df.pivot_table(index=df['month'], values='contb_amt', \n",
    "                 aggfunc='count').plot(kind='bar',rot=0,legend=False, title='Count of Donations by Month')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<section id=\"How-Much\"></section>\n",
    "## What the Donations Were"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Credit/Debit    525\n",
       "Check           448\n",
       "In-Kind          10\n",
       "Other             9\n",
       "Name: tran_type, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tran_type.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Credit/Debit    0.529234\n",
       "Check           0.451613\n",
       "In-Kind         0.010081\n",
       "Other           0.009073\n",
       "Name: tran_type, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tran_type.value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x30eace8c18>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KIicnh/z8fGJjY0lNTSU4OBiXy0VaWhqWZZGZmUlYWFhrjSQiAcLWEPXs2ZPCwkIAevfu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\nWAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eace89e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.factorplot('tran_type',data=df,kind=\"count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "525881.75"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['contb_amt'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1000.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['contb_amt'].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     992.000000\n",
       "mean      530.122732\n",
       "std       410.813074\n",
       "min         1.000000\n",
       "25%       100.000000\n",
       "50%       500.000000\n",
       "75%      1000.000000\n",
       "max      1174.250000\n",
       "Name: contb_amt, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['contb_amt'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I was surprised to see that the average donation was 530 compared to the presidential race when it was only 100<br>\n",
    "Lowest donation was 1 and highest was 1174"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x30eac7e5f8>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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b1QEAkCD4YhAAACxAkAEAsABBBgDAAkP+UBeA6Ir2vzOix5+oWBajlQCYKLhCBgDAAgQZ\nAAALEGQAACxAkAEAsABBBgDAAgQZAAALEGQAACxAkAEAsABBBgDAAgQZAAALEGQAACxAkAEAsABB\nBgDAAgQZAAALEGQAACxAkAEAsABBBgDAAgQZAAALEGQAACxAkAEAsIBzvBcA+xTtf2dEjz9RsSxG\nKwGAxMEVMgAAFiDIAABYgCADAGABggwAgAUIMgAAFrinIF+4cEF+v1+SdPnyZa1du1Y+n0+7d+9W\nX1+fJKmhoUGrVq2S1+vVmTNnRm/FAADEoahBfvXVV7Vz506Fw2FJ0o9+9COVlpbqF7/4hYwxampq\nUldXl+rq6lRfX6+f/vSnqq2tVU9Pz6gvHgCAeBE1yFlZWTpy5Ej/z+3t7Vq4cKEkqaCgQOfOnVNb\nW5tyc3PlcrnkdruVlZWljo6O0Vs1AABxJuoXgxQWFurKlSv9Pxtj5HA4JEmpqakKBAIKBoNyu939\nx6SmpioYDEZ98oyMKXI6k4ez7lGTmemOftAEM9Z7mggztH2N47U+2+cyHpjJ8CXS7GKx1yF/U1dS\n0v8uqkOhkNLT05WWlqZQKHTX7Z8N9Bfp7v5kqE8/6rq6AuO9hJjKzHSP+Z5sn+F4zGSoxmN9E2Eu\nY42ZjEyizG4or5PBwj3kT1nPnTtXLS0tkqTm5mbl5eXJ4/GotbVV4XBYgUBAnZ2dysnJGeqpAQBI\nWEO+Qi4vL1dVVZVqa2uVnZ2twsJCJScny+/3y+fzyRijsrIypaSkjMZ6AQCIS/cU5BkzZqihoUGS\nNGvWLJ08eTLiGK/XK6/XG9vVAQCQIPhiEAAALECQAQCwAEEGAMACBBkAAAsQZAAALECQAQCwAEEG\nAMACBBkAAAsQZAAALECQAQCwAEEGAMACBBkAAAsQZAAALECQAQCwAEEGAMACBBkAAAsQZAAALECQ\nAQCwAEEGAMACBBkAAAsQZAAALECQAQCwAEEGAMACBBkAAAsQZAAALECQAQCwAEEGAMACBBkAAAsQ\nZAAALOAc7gO//e1vKy0tTZI0Y8YMbdy4URUVFXI4HJo9e7Z2796tpCR6DwDAvRhWkMPhsIwxqqur\n679t48aNKi0t1aJFi7Rr1y41NTVp+fLlMVsoAADxbFiXsB0dHbp165aKior07LPP6v3331d7e7sW\nLlwoSSooKNC5c+diulAAAOLZsK6Qv/SlL2nDhg1as2aN/vGPf+i5556TMUYOh0OSlJqaqkAgEPU8\nGRlT5HQmD2cJoyYz0z3eS4i5sd7TRJih7Wscr/XZPpfxwEyGL5FmF4u9DivIs2bN0syZM+VwODRr\n1ixNnTpV7e3t/feHQiGlp6dHPU939yfDefpR1dUV/Q8SE0lmpnvM92T7DMdjJkM1HuubCHMZa8xk\nZBJldkN5nQwW7mG9Zf3GG29o//79kqTr168rGAwqPz9fLS0tkqTm5mbl5eUN59QAACSkYV0hr169\nWtu3b9fatWvlcDi0b98+ZWRkqKqqSrW1tcrOzlZhYWGs1woAQNwaVpBdLpdeeOGFiNtPnjw54gUB\nAJCI+B+FAQCwwLC/GAQDK9r/zogef6JiWYxWAgCYSLhCBgDAAgQZAAALEGQAACxAkAEAsAAf6vqc\nkX4oCwCA4eAKGQAACxBkAAAsQJABALAAQQYAwAJ8qCvO8KE0SHxjHDARcYUMAIAFCDIAABYgyAAA\nWIAgAwBgAYIMAIAFCDIAABYgyAAAWIAgAwBgAYIMAIAFCDIAABYgyAAAWIAgAwBgAYIMAIAFCDIA\nABbgn1+0DP98IgAkJq6QAQCwAEEGAMACvGWNmBvp2+4nKpbFaCWYyHgdIdHENMh9fX3as2eP/vrX\nv8rlcqmmpkYzZ86M5VMgAfAbMYBYmUi/n8T0Leu3335bPT09ev3117Vlyxbt378/lqcHACBuxfQK\nubW1VY8++qgkacGCBbp48WIsTw/ck4n0J2KMHhteB+P9f03wWp5YHMYYE6uT7dixQytWrNDixYsl\nSUuWLNHbb78tp5O/qgYAYDAxfcs6LS1NoVCo/+e+vj5iDADAPYhpkB966CE1NzdLkt5//33l5OTE\n8vQAAMStmL5l/emnrP/2t7/JGKN9+/bpgQceiNXpAQCIWzENMgAAGB6+qQsAAAsQZAAALBAXQe7r\n69OuXbv09NNPy+/36/Lly+O9pDHT29urbdu2yefzafXq1WpqatLly5e1du1a+Xw+7d69W319fZKk\nhoYGrVq1Sl6vV2fOnBnnlY++f//731q8eLE6OzuZiaSXX35ZTz/9tFatWqVf/vKXzET//+tny5Yt\neuaZZ+Tz+RL+tXLhwgX5/X5JGtIc/vvf/+r73/++fD6fnnvuOf3nP/8Ztz3E2mdn8uGHH8rn88nv\n92vDhg26ceOGpBjOxMSB3/3ud6a8vNwYY8xf/vIXs3HjxnFe0dh54403TE1NjTHGmO7ubrN48WJT\nXFxs3nvvPWOMMVVVVeb3v/+9+de//mWefPJJEw6Hzc2bN/v/O1719PSY733ve2bFihXm73//e8LP\n5L333jPFxcXmzp07JhgMmsOHDyf8TIwx5vTp02bz5s3GGGPeffdd8/zzzyfsXF555RXz5JNPmjVr\n1hhjzJDmcOLECXP48GFjjDG/+c1vTHV19bjtI5Y+P5N169aZDz74wBhjzGuvvWb27dsX05nExRVy\nIn9D2OOPP64f/OAHkiRjjJKTk9Xe3q6FCxdKkgoKCnTu3Dm1tbUpNzdXLpdLbrdbWVlZ6ujoGM+l\nj6oDBw7omWee0Ve+8hVJSviZvPvuu8rJydGmTZu0ceNGLVmyJOFnIkmzZs3SnTt31NfXp2AwKKfT\nmbBzycrK0pEjR/p/HsocPvt7cEFBgc6fPz8ue4i1z8+ktrZWDz74oCTpzp07SklJielM4iLIwWBQ\naWlp/T8nJyfr9u3b47iisZOamqq0tDQFg0Ft3rxZpaWlMsbI4XD03x8IBBQMBuV2u+96XDAYHK9l\nj6pf/epXuu+++/p/MUhK+Jl0d3fr4sWLOnTokPbu3autW7cm/EwkacqUKbp69aq+9a1vqaqqSn6/\nP2HnUlhYeNcXOQ1lDp+9/dNj48HnZ/LpH/D//Oc/6+TJk/rud78b05nExddoJfo3hF27dk2bNm2S\nz+fTypUrdfDgwf77QqGQ0tPTI2YUCoXuehHFk8bGRjkcDp0/f14ffvihysvL7/r7m0ScydSpU5Wd\nnS2Xy6Xs7GylpKTon//8Z//9iTgTSfrZz36mb37zm9qyZYuuXbum73znO+rt7e2/P1HnIklJSf+7\nXos2h8/e/umx8eqtt97S8ePH9corr+i+++6L6Uzi4go5kb8h7MaNGyoqKtK2bdu0evVqSdLcuXPV\n0tIiSWpublZeXp48Ho9aW1sVDocVCATU2dkZt3P6+c9/rpMnT6qurk4PPvigDhw4oIKCgoSeycMP\nP6w//elPMsbo+vXrunXrlh555JGEnokkpaen94f1y1/+sm7fvp3wv34+NZQ5PPTQQ/rjH//Yf+zD\nDz88nksfNb/+9a/7f2/52te+JkkxnUlcfDFIIn9DWE1NjX77298qOzu7/7YdO3aopqZGvb29ys7O\nVk1NjZKTk9XQ0KDXX39dxhgVFxersLBwHFc+Nvx+v/bs2aOkpCRVVVUl9Ex+/OMfq6WlRcYYlZWV\nacaMGQk/k1AopMrKSnV1dam3t1fPPvus5s+fn7BzuXLlin74wx+qoaFBly5duuc53Lp1S+Xl5erq\n6tKkSZP0wgsvKDMzc7y3ExOfzuS1117TI488ounTp/df7X7jG9/Q5s2bYzaTuAgyAAATXVy8ZQ0A\nwERHkAEAsABBBgDAAgQZAAALEGQAACxAkAEAsABBBgDAAgQZAAAL/B+vQFIAv3vtxgAAAABJRU5E\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eada54e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['contb_amt'].hist(bins=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000.0    380\n",
       "500.0     140\n",
       "250.0     110\n",
       "25.0       63\n",
       "10.0       53\n",
       "Name: contb_amt, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['contb_amt'].value_counts().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Surprisingly 1000 was the most frequent donation<br>\n",
    "The top most frequent donation values were much higher then those during the presidential race"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<section id=\"Where\"></section>\n",
    "## Where Did Donations Come From?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 1 State was labeled \"Ri\" So replace it with RI\n",
    "df = df.replace(['Ri'],'RI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.state.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RI    600\n",
       "NY     76\n",
       "MA     62\n",
       "CT     43\n",
       "CO     29\n",
       "TX     28\n",
       "DC     19\n",
       "CA     18\n",
       "MD     17\n",
       "FL     15\n",
       "NJ     15\n",
       "VA     10\n",
       "IL      8\n",
       "PA      7\n",
       "OR      7\n",
       "AZ      6\n",
       "NH      5\n",
       "WA      4\n",
       "VT      4\n",
       "TN      3\n",
       "MI      3\n",
       "NM      3\n",
       "HI      2\n",
       "SC      2\n",
       "WI      1\n",
       "AL      1\n",
       "GA      1\n",
       "MO      1\n",
       "NC      1\n",
       "Name: state, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.state.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZWRkiIiLQp0+fWhdxdmwjIiKqpEgRt7S0REREBEJDQyFJEgoLC+Hh4YExY8YocXoiIiKD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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eae922b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "where_sum = df.pivot_table(index=df['state'], values='contb_amt', aggfunc='sum').sort_values(\n",
    "    by='contb_amt').plot(kind='barh', rot=0, legend=False, title='Total Donated by State')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tWgEAvv7661Kflf9ddXZsY/c1IiJ6mihSxO/fv4+goCAsXboULVq0QFFRESZMmAB3d3dE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\nRGSgWMSJiIgM1P8D3tFkexAjt3UAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb004390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "where_count = df.pivot_table(index=df['state'], values='contb_amt', aggfunc='count').sort_values(\n",
    "    by='contb_amt').plot(kind='barh', rot=0, legend=False, title='Count of Donations by State')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vLwsXLqR3795UrlyZrKwspk+fTvPmzfntt9/Yvn07bdtev1kgLi6OU6dO0bhx4zuOqY5t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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eabf8e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "where_avg = df.pivot_table(index=df['state'], values='contb_amt', aggfunc='mean').sort_values(\n",
    "    by='contb_amt').plot(kind='barh', rot=0, legend=False, title='Avg Donated by State')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "225"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.city.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contb_amt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>city</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Providence</th>\n",
       "      <td>62241.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York</th>\n",
       "      <td>44350.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barrington</th>\n",
       "      <td>22470.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jamestown</th>\n",
       "      <td>21775.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denver</th>\n",
       "      <td>21000.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            contb_amt\n",
       "city                 \n",
       "Providence   62241.43\n",
       "New York     44350.00\n",
       "Barrington   22470.00\n",
       "Jamestown    21775.00\n",
       "Denver       21000.00"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top 5 Cities\n",
    "city_df = df.pivot_table('contb_amt',index='city',aggfunc='sum')\n",
    "city_df = city_df.sort_values(by=\"contb_amt\",ascending=False)\n",
    "\n",
    "city_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aciXmURszqak+zuNidygaza+NAgAA1yEoAACANYICAABYIygAAIA1ggIAAFgjKAAAgDWC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\nAADAGkEBAACsERQAAMDa/wEnR87OwunVJQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb179b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "city_sum = df.pivot_table(index=df['city'], values='contb_amt', aggfunc='sum').sort_values(\n",
    "    by='contb_amt').nlargest(5, 'contb_amt').plot(kind='barh', color=my_color, legend=False, title='Total Donated')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CAgpm+Oqrr5SQkKANGzYoLy9P8+bN0yOPPKKMjAy9+uqrcnd3V7du3XT+/HnVrFmztJ5y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\nAIxDoAAAAOMQKAAAwDj/D8aR4LFVLrE2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb1ac438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "city_count = df.pivot_table(index=df['city'], values='contb_amt', aggfunc='count').sort_values(\n",
    "    by='contb_amt').nlargest(5, 'contb_amt').plot(kind='barh', color=my_color, legend=False, title='Num of Donations')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<section id=\"RI\"></section>\n",
    "## RI Donations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Just donations from RI\n",
    "RI_df = df[df.state == 'RI']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Providence', 'Cranston', 'Lincoln', 'Barrington', 'Cumberland',\n",
       "       'Pascoag', 'Smithfield', 'East Greenwich', 'Johnston', 'Pawtucket',\n",
       "       'Jamestown', 'Wakefield', 'Saunderstown', 'Portsmouth', 'Newport',\n",
       "       'West Warwick', 'North Kingstown', 'Warwick', 'PROVIDENCE',\n",
       "       'Tiverton', 'Harmony', 'Bristol', 'Warren', 'West Greenwich',\n",
       "       'Westerly', 'Riverside', 'N Kingstown', 'Rumford', 'Narragansett',\n",
       "       'Exeter', 'Coventry', 'East Providence', 'South Kingstown',\n",
       "       'North Providence', 'Middletown', 'Charlestown', 'North Kingstownq',\n",
       "       'Foster', 'Block Island', 'Scituate', 'Little Compton',\n",
       "       'New Shoreham', 'Peace Dale', 'Central Falls', 'North Scituate',\n",
       "       'Glocester', 'E Greenwich', 'Woonsocket', 'Albion', 'Kingston'], dtype=object)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RI_df.city.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Connect small towns to the City/Town they're part of\n",
    "RI_df = RI_df.replace(['Pascoag'],'Burrillville')\n",
    "RI_df = RI_df.replace(['Wakefield','Kingston','Peace Dale'],'South Kingstown')\n",
    "RI_df = RI_df.replace(['Saunderstown','N Kingstown','North Kingstownq'],'North Kingstown')\n",
    "RI_df = RI_df.replace(['E Greenwich'],'East Greenwich')\n",
    "RI_df = RI_df.replace(['PROVIDENCE'],'Providence')\n",
    "RI_df = RI_df.replace(['Harmony'],'Glocester')\n",
    "RI_df = RI_df.replace(['Riverside','Rumford'],'East Providence')\n",
    "RI_df = RI_df.replace(['Block Island'],'New Shoreham')\n",
    "RI_df = RI_df.replace(['North Scituate'],'Scituate')\n",
    "RI_df = RI_df.replace(['Albion'],'Lincoln')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RI_df.city.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IiBRIjYOIiIiIiBRIjYOIiIiIiBRIjYOIiIiIiBSoyHwd652Kj49n5cqVREdH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lAAAc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\nSAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb334be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ri_city = df.pivot_table(index=RI_df['city'], values='contb_amt', aggfunc='count').sort_values(ascending=True,\n",
    "    by='contb_amt').plot(kind='barh', figsize=(12,9), legend=False, title='Num of Donations by City')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OHePq1auWDd7ym/+wdYbM87RZONK3oEsQERERKRQMW3FwcHBg1KhRPOq3v86d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\nICIiIiIidVLhICIiIiIidfo/Pa/TiNVNP04AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb3b2da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ri_city = df.pivot_table(index=RI_df['city'], values='contb_amt', aggfunc='sum').sort_values(ascending=True,\n",
    "    by='contb_amt').plot(kind='barh', figsize=(12,9), legend=False, title='Total Donated by City')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "600"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RI_df['city'].value_counts().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Providence        175\n",
       "East Greenwich     44\n",
       "Barrington         44\n",
       "Jamestown          38\n",
       "Cranston           35\n",
       "Name: city, dtype: int64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RI_df['city'].value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "contb_amt    248681.22\n",
       "dtype: float64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RI_Sum = RI_df.pivot_table('contb_amt',index='city',aggfunc='sum')\n",
    "RI_Sum = RI_Sum.sort_values(by='contb_amt', ascending=False)\n",
    "\n",
    "RI_Sum.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contb_amt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>city</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Providence</th>\n",
       "      <td>70988.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barrington</th>\n",
       "      <td>22470.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jamestown</th>\n",
       "      <td>21775.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East Greenwich</th>\n",
       "      <td>19170.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cranston</th>\n",
       "      <td>13061.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Kingstown</th>\n",
       "      <td>9585.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Newport</th>\n",
       "      <td>8390.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Westerly</th>\n",
       "      <td>8305.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lincoln</th>\n",
       "      <td>7360.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East Providence</th>\n",
       "      <td>7170.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Warwick</th>\n",
       "      <td>6490.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Narragansett</th>\n",
       "      <td>6310.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portsmouth</th>\n",
       "      <td>5505.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bristol</th>\n",
       "      <td>5380.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Kingstown</th>\n",
       "      <td>4935.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Charlestown</th>\n",
       "      <td>4100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Providence</th>\n",
       "      <td>3525.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pawtucket</th>\n",
       "      <td>3130.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Johnston</th>\n",
       "      <td>3125.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exeter</th>\n",
       "      <td>3035.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cumberland</th>\n",
       "      <td>2500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Middletown</th>\n",
       "      <td>2375.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Warren</th>\n",
       "      <td>2100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scituate</th>\n",
       "      <td>1500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Greenwich</th>\n",
       "      <td>1200.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coventry</th>\n",
       "      <td>1060.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Foster</th>\n",
       "      <td>1000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Smithfield</th>\n",
       "      <td>950.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tiverton</th>\n",
       "      <td>550.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Warwick</th>\n",
       "      <td>500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Burrillville</th>\n",
       "      <td>500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woonsocket</th>\n",
       "      <td>275.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glocester</th>\n",
       "      <td>225.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Compton</th>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Falls</th>\n",
       "      <td>25.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Shoreham</th>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  contb_amt\n",
       "city                       \n",
       "Providence         70988.43\n",
       "Barrington         22470.00\n",
       "Jamestown          21775.00\n",
       "East Greenwich     19170.00\n",
       "Cranston           13061.00\n",
       "North Kingstown     9585.00\n",
       "Newport             8390.00\n",
       "Westerly            8305.00\n",
       "Lincoln             7360.00\n",
       "East Providence     7170.79\n",
       "Warwick             6490.00\n",
       "Narragansett        6310.00\n",
       "Portsmouth          5505.00\n",
       "Bristol             5380.00\n",
       "South Kingstown     4935.00\n",
       "Charlestown         4100.00\n",
       "North Providence    3525.00\n",
       "Pawtucket           3130.00\n",
       "Johnston            3125.00\n",
       "Exeter              3035.00\n",
       "Cumberland          2500.00\n",
       "Middletown          2375.00\n",
       "Warren              2100.00\n",
       "Scituate            1500.00\n",
       "West Greenwich      1200.00\n",
       "Coventry            1060.00\n",
       "Foster              1000.00\n",
       "Smithfield           950.00\n",
       "Tiverton             550.00\n",
       "West Warwick         500.00\n",
       "Burrillville         500.00\n",
       "Woonsocket           275.00\n",
       "Glocester            225.00\n",
       "Little Compton       100.00\n",
       "Central Falls         25.00\n",
       "New Shoreham          11.00"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RI_Sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# dictionary of RI Counties\n",
    "county_map = {'Barrington': 'BRISTOL',\n",
    "            'Bristol': 'BRISTOL',\n",
    "            'Burrillville': 'PROVIDENCE',\n",
    "            'Central Falls': 'PROVIDENCE',\n",
    "            'Charlestown': 'WASHINGTON',\n",
    "            'Coventry': 'KENT',\n",
    "            'Cranston': 'PROVIDENCE',\n",
    "            'Cumberland': 'PROVIDENCE',\n",
    "            'East Greenwich': 'KENT',\n",
    "            'East Providence': 'PROVIDENCE',\n",
    "            'Exeter': 'WASHINGTON',\n",
    "            'Foster': 'PROVIDENCE',\n",
    "            'Glocester': 'PROVIDENCE',\n",
    "            'Hopkinton': 'WASHINGTON',\n",
    "            'Jamestown': 'NEWPORT',\n",
    "            'Johnston': 'PROVIDENCE',\n",
    "            'Lincoln': 'PROVIDENCE',\n",
    "            'Little Compton': 'NEWPORT',\n",
    "            'Middletown': 'NEWPORT',\n",
    "            'Narragansett': 'WASHINGTON',\n",
    "            'Newport': 'NEWPORT',\n",
    "            'New Shoreham': 'WASHINGTON',\n",
    "            'North Kingstown': 'WASHINGTON',\n",
    "            'North Providence': 'PROVIDENCE',\n",
    "            'North Smithfield': 'PROVIDENCE',\n",
    "            'Pawtucket': 'PROVIDENCE',\n",
    "            'Portsmouth': 'NEWPORT',\n",
    "            'Providence': 'PROVIDENCE',\n",
    "            'Richmond': 'WASHINGTON',\n",
    "            'Scituate': 'PROVIDENCE',\n",
    "            'Smithfield': 'PROVIDENCE',\n",
    "            'South Kingstown': 'WASHINGTON',\n",
    "            'Tiverton': 'NEWPORT',\n",
    "            'Warren': 'BRISTOL',\n",
    "            'Warwick': 'KENT',\n",
    "            'Westerly': 'WASHINGTON',\n",
    "            'West Greenwich': 'KENT',\n",
    "            'West Warwick': 'KENT',\n",
    "            'Woonsocket': 'PROVIDENCE'}\n",
    "\n",
    "# creating a party column and mapping party to canidate\n",
    "RI_df['County'] = RI_df.city.map(county_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PROVIDENCE    303\n",
       "WASHINGTON     86\n",
       "NEWPORT        77\n",
       "KENT           70\n",
       "BRISTOL        64\n",
       "Name: County, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "RI_df['County'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CAADnbJZlWa4uwt2FjN12550AAHCBFfbgQh/zd7GUAwAAQDABAADGIJgAAABjEEwAAIAx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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb5358d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ri_city = df.pivot_table(index=RI_df['County'], values='contb_amt', aggfunc='count').sort_values(ascending=True,\n",
    "    by='contb_amt').plot(kind='barh', legend=False, title='Num of Donations by County')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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27Nl5jg8MDFTPnj1dv730yCOPqEuXLurTp498fHx08eJFxcXFqVatWjpw4IBb5wQAANeP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\nrPb/AUF/NeT5rpw0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb3b2e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ri_city = df.pivot_table(index=RI_df['County'], values='contb_amt', aggfunc='sum').sort_values(ascending=True,\n",
    "    by='contb_amt').plot(kind='barh', legend=False, title='Total Donated by County')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<section id=\"Vs\"></section>\n",
    "## In State vs. Out of State"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def in_ri(state):\n",
    "    if state == 'RI':\n",
    "        return 'in state'\n",
    "    else:\n",
    "        return 'out of state'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['lives'] = df['state'].apply(in_ri)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_lives = df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['lives'] = pd.Categorical(df['lives'], categories=['in state','out of state'], ordered=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contbr_nm</th>\n",
       "      <th>first_nm</th>\n",
       "      <th>last_nm</th>\n",
       "      <th>tran_type</th>\n",
       "      <th>contb_type</th>\n",
       "      <th>receipt_dt</th>\n",
       "      <th>contb_amt</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>zip</th>\n",
       "      <th>employer</th>\n",
       "      <th>employ_address</th>\n",
       "      <th>employ_city</th>\n",
       "      <th>employ_state</th>\n",
       "      <th>employ_zip</th>\n",
       "      <th>weekday</th>\n",
       "      <th>month</th>\n",
       "      <th>lives</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ingrid Ardaya</td>\n",
       "      <td>Ingrid</td>\n",
       "      <td>Ardaya</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Disabled</td>\n",
       "      <td>11 North Avenue</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>7</td>\n",
       "      <td>in state</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ingrid Ardaya</td>\n",
       "      <td>Ingrid</td>\n",
       "      <td>Ardaya</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Disabled</td>\n",
       "      <td>11 North Avenue</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>7</td>\n",
       "      <td>in state</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Edna Panaggio</td>\n",
       "      <td>Edna</td>\n",
       "      <td>Panaggio</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Cranston</td>\n",
       "      <td>RI</td>\n",
       "      <td>02920-4529</td>\n",
       "      <td>Homemaker</td>\n",
       "      <td>200 Hoffman Ave</td>\n",
       "      <td>Cranston</td>\n",
       "      <td>RI</td>\n",
       "      <td>02920-4529</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>7</td>\n",
       "      <td>in state</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Eve Savitzky</td>\n",
       "      <td>Eve</td>\n",
       "      <td>Savitzky</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Homemaker</td>\n",
       "      <td>21 Lincoln Ave</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>7</td>\n",
       "      <td>in state</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Anna Siegler</td>\n",
       "      <td>Anna</td>\n",
       "      <td>Siegler</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-02</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60637</td>\n",
       "      <td>Retired</td>\n",
       "      <td>5715 S. Kenwood Ave, Apt 4N</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60637</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>7</td>\n",
       "      <td>out of state</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       contbr_nm first_nm   last_nm     tran_type  contb_type receipt_dt  \\\n",
       "0  Ingrid Ardaya   Ingrid    Ardaya  Credit/Debit  Individual 2017-07-01   \n",
       "1  Ingrid Ardaya   Ingrid    Ardaya  Credit/Debit  Individual 2017-07-01   \n",
       "2  Edna Panaggio     Edna  Panaggio  Credit/Debit  Individual 2017-07-01   \n",
       "3   Eve Savitzky      Eve  Savitzky  Credit/Debit  Individual 2017-07-01   \n",
       "4   Anna Siegler     Anna   Siegler  Credit/Debit  Individual 2017-07-02   \n",
       "\n",
       "   contb_amt        city state         zip   employer  \\\n",
       "0        5.0  Providence    RI        2906   Disabled   \n",
       "1        5.0  Providence    RI        2906   Disabled   \n",
       "2        5.0    Cranston    RI  02920-4529  Homemaker   \n",
       "3       25.0  Providence    RI        2906  Homemaker   \n",
       "4       50.0     Chicago    IL       60637    Retired   \n",
       "\n",
       "                 employ_address employ_city employ_state  employ_zip  \\\n",
       "0              11 North Avenue   Providence           RI        2906   \n",
       "1              11 North Avenue   Providence           RI        2906   \n",
       "2              200 Hoffman Ave     Cranston           RI  02920-4529   \n",
       "3               21 Lincoln Ave   Providence           RI        2906   \n",
       "4  5715 S. Kenwood Ave, Apt 4N      Chicago           IL       60637   \n",
       "\n",
       "    weekday  month         lives  \n",
       "0  Saturday      7      in state  \n",
       "1  Saturday      7      in state  \n",
       "2  Saturday      7      in state  \n",
       "3  Saturday      7      in state  \n",
       "4    Sunday      7  out of state  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QZAAALECQAQCwAEEGAMACBBkAAAsQZAAALECQAQCwAEEGAMACBBkAAAsQZAAALECQAQCw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\nFiDIAABYgCADAGABggwAgAUIMgAAFvh/fK+yRhZu5JsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb357c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "count_df = df.pivot_table(index=df['lives'], values='contb_amt', aggfunc='count').plot(kind='bar',\n",
    "                        rot=0, color=my_color, legend=False, title='Count of Donation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "in state        600\n",
      "out of state    392\n",
      "Name: lives, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "in state        0.604839\n",
       "out of state    0.395161\n",
       "Name: lives, dtype: float64"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(df['lives'].value_counts())\n",
    "(df['lives'].value_counts(normalize=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "60% (600) Were from Rhode Island<br>\n",
    "40% (392) Were from another state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MVH19ffj2QCCghIQExcfHKxAIdFj+1UDvS3NzyyEMHZGWnOxRU5Mv0sMAEGWi+XGlsycb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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb86f470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean_df = df.pivot_table(index=df['lives'], values='contb_amt', aggfunc='mean').plot(kind='bar',\n",
    "                        rot=0, color=my_color, legend=False, title='Average Donation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2yuv1atCgQZIkj8ejzMxMRSIR5eXldfHSAQCwi8MYY2I9ifNh8yUWSZq6cmusp4BO2rBg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\nACxB1AEAsMT/AwrTB1lYdioEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb903128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sum_df = df.pivot_table(index=df['lives'], values='contb_amt', aggfunc='sum').plot(kind='bar',\n",
    "                        rot=0, color=my_color, legend=False, title='Total Donated')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "percent_df = df.pivot_table(index=df['lives'], values='contb_amt', aggfunc='sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "total_sum = percent_df.contb_amt.sum()\n",
    "df['lives'] = df['state'].apply(in_ri)\n",
    "percent_df['Percent'] = percent_df['contb_amt'] / total_sum\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contb_amt</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lives</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>in state</th>\n",
       "      <td>248681.22</td>\n",
       "      <td>0.472884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>out of state</th>\n",
       "      <td>277200.53</td>\n",
       "      <td>0.527116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              contb_amt   Percent\n",
       "lives                            \n",
       "in state      248681.22  0.472884\n",
       "out of state  277200.53  0.527116"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contb_amt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lives</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>in state</th>\n",
       "      <td>414.468700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>out of state</th>\n",
       "      <td>707.144209</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               contb_amt\n",
       "lives                   \n",
       "in state      414.468700\n",
       "out of state  707.144209"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_df = df.pivot_table(index=df['lives'], values='contb_amt', aggfunc='mean')\n",
    "mean_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<section id=\"Work\"></section>\n",
    "## Where People Worked"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "employer_df = df.pivot_table('contb_amt',index='employer',aggfunc='sum')\n",
    "\n",
    "# Combining Electric Boat & Genral Dynamics\n",
    "employer_df.loc['General Dynamics'] = employer_df.loc['Electric Boat Corporation'] + employer_df.loc['General Dynamics']\n",
    "employer_df.drop('Electric Boat Corporation',inplace=True)\n",
    "\n",
    "employer_df = employer_df.sort_values(by = 'contb_amt',ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "contb_amt    489\n",
       "dtype: int64"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employer_df.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Donations from people who worked at 489 different companies,\n",
    "lets narrow it down to companies over $1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x30eb1f4780>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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iIiJiFYUHsat3332Xnj170q1bN4xGIz/++OMt901LSyMiIgKAZcuW0aJFC9atW1fg/QYN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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb939198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Getting all employer records over $1000\n",
    "\n",
    "employer_df = employer_df[employer_df['contb_amt'] > 1000]\n",
    "employer_df.plot(kind='barh',figsize=(10,16))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Graphing Only Companies\n",
    "employer_df.drop('Homemaker',inplace=True)\n",
    "employer_df.drop('Retired',inplace=True)\n",
    "employer_df.drop('Self Employed',inplace=True)\n",
    "employer_df.drop('Info Requested',inplace=True)\n",
    "\n",
    "employer_df = employer_df.sort_values(by = 'contb_amt',ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x30ecb26978>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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atXFxcQFg9OjRAIwfP57IyEhycnKKXF9E5F6RlXXpD5/r5eV+W+c/SNSr4lG/jCvNXt0s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\nALjyDuQqaDiUYkPmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eba29f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Getting all employer records over $1000\n",
    "employer_df = employer_df[employer_df['contb_amt'] > 1000]\n",
    "employer_df.plot(kind='barh',figsize=(10,16))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def in_ri(employ_state):\n",
    "    if employ_state == 'RI':\n",
    "        return 'in state'\n",
    "    else:\n",
    "        return 'out of state'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['works'] = df['employ_state'].apply(in_ri)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contbr_nm</th>\n",
       "      <th>first_nm</th>\n",
       "      <th>last_nm</th>\n",
       "      <th>tran_type</th>\n",
       "      <th>contb_type</th>\n",
       "      <th>receipt_dt</th>\n",
       "      <th>contb_amt</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>zip</th>\n",
       "      <th>employer</th>\n",
       "      <th>employ_address</th>\n",
       "      <th>employ_city</th>\n",
       "      <th>employ_state</th>\n",
       "      <th>employ_zip</th>\n",
       "      <th>weekday</th>\n",
       "      <th>month</th>\n",
       "      <th>lives</th>\n",
       "      <th>works</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ingrid Ardaya</td>\n",
       "      <td>Ingrid</td>\n",
       "      <td>Ardaya</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Disabled</td>\n",
       "      <td>11 North Avenue</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>7</td>\n",
       "      <td>in state</td>\n",
       "      <td>in state</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ingrid Ardaya</td>\n",
       "      <td>Ingrid</td>\n",
       "      <td>Ardaya</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Disabled</td>\n",
       "      <td>11 North Avenue</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>7</td>\n",
       "      <td>in state</td>\n",
       "      <td>in state</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Edna Panaggio</td>\n",
       "      <td>Edna</td>\n",
       "      <td>Panaggio</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Cranston</td>\n",
       "      <td>RI</td>\n",
       "      <td>02920-4529</td>\n",
       "      <td>Homemaker</td>\n",
       "      <td>200 Hoffman Ave</td>\n",
       "      <td>Cranston</td>\n",
       "      <td>RI</td>\n",
       "      <td>02920-4529</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>7</td>\n",
       "      <td>in state</td>\n",
       "      <td>in state</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Eve Savitzky</td>\n",
       "      <td>Eve</td>\n",
       "      <td>Savitzky</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Homemaker</td>\n",
       "      <td>21 Lincoln Ave</td>\n",
       "      <td>Providence</td>\n",
       "      <td>RI</td>\n",
       "      <td>2906</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>7</td>\n",
       "      <td>in state</td>\n",
       "      <td>in state</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Anna Siegler</td>\n",
       "      <td>Anna</td>\n",
       "      <td>Siegler</td>\n",
       "      <td>Credit/Debit</td>\n",
       "      <td>Individual</td>\n",
       "      <td>2017-07-02</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60637</td>\n",
       "      <td>Retired</td>\n",
       "      <td>5715 S. Kenwood Ave, Apt 4N</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60637</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>7</td>\n",
       "      <td>out of state</td>\n",
       "      <td>out of state</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       contbr_nm first_nm   last_nm     tran_type  contb_type receipt_dt  \\\n",
       "0  Ingrid Ardaya   Ingrid    Ardaya  Credit/Debit  Individual 2017-07-01   \n",
       "1  Ingrid Ardaya   Ingrid    Ardaya  Credit/Debit  Individual 2017-07-01   \n",
       "2  Edna Panaggio     Edna  Panaggio  Credit/Debit  Individual 2017-07-01   \n",
       "3   Eve Savitzky      Eve  Savitzky  Credit/Debit  Individual 2017-07-01   \n",
       "4   Anna Siegler     Anna   Siegler  Credit/Debit  Individual 2017-07-02   \n",
       "\n",
       "   contb_amt        city state         zip   employer  \\\n",
       "0        5.0  Providence    RI        2906   Disabled   \n",
       "1        5.0  Providence    RI        2906   Disabled   \n",
       "2        5.0    Cranston    RI  02920-4529  Homemaker   \n",
       "3       25.0  Providence    RI        2906  Homemaker   \n",
       "4       50.0     Chicago    IL       60637    Retired   \n",
       "\n",
       "                 employ_address employ_city employ_state  employ_zip  \\\n",
       "0              11 North Avenue   Providence           RI        2906   \n",
       "1              11 North Avenue   Providence           RI        2906   \n",
       "2              200 Hoffman Ave     Cranston           RI  02920-4529   \n",
       "3               21 Lincoln Ave   Providence           RI        2906   \n",
       "4  5715 S. Kenwood Ave, Apt 4N      Chicago           IL       60637   \n",
       "\n",
       "    weekday  month         lives         works  \n",
       "0  Saturday      7      in state      in state  \n",
       "1  Saturday      7      in state      in state  \n",
       "2  Saturday      7      in state      in state  \n",
       "3  Saturday      7      in state      in state  \n",
       "4    Sunday      7  out of state  out of state  "
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeQAAAFlCAYAAAA6QpuEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb65c860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Including Extras\n",
    "count_df = df.pivot_table(index=df['works'], values='contb_amt', aggfunc='count').plot(kind='bar',\n",
    "                        rot=0, color=my_color, legend=False, title='Count of Donation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "in state        557\n",
       "out of state    435\n",
       "Name: works, dtype: int64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['works'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AliDqAABYgqgDAGAJog4AgCWIOgAAliDqAABYgqgDAGAJog4AgCWIOgAAliDqAABYgqgD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\nwBJEHQAASxB1AAAs8f8BWIiNhkMwkngAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb939cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Including Extras\n",
    "count_df = df.pivot_table(index=df['works'], values='contb_amt', aggfunc='sum').plot(kind='bar',\n",
    "                        rot=0, color=my_color, legend=False, title='Total Donated')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contb_amt</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>works</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>in state</th>\n",
       "      <td>230305.00</td>\n",
       "      <td>0.437941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>out of state</th>\n",
       "      <td>295576.75</td>\n",
       "      <td>0.562059</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              contb_amt   Percent\n",
       "works                            \n",
       "in state      230305.00  0.437941\n",
       "out of state  295576.75  0.562059"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Including Extras getting % of sum\n",
    "percent_df = df.pivot_table(index=df['works'], values='contb_amt', aggfunc='sum')\n",
    "\n",
    "total_sum = df.contb_amt.sum()\n",
    "percent_df['Percent'] = percent_df['contb_amt'] / total_sum\n",
    "\n",
    "percent_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Removing Extras\n",
    "emp_df = df[df.employer != 'Homemaker']\n",
    "emp_df = df[df.employer != 'Retired']\n",
    "emp_df = df[df.employer != 'Self Employed']\n",
    "emp_df = df[df.employer != 'Info Requested']\n",
    "emp_df = df[df.employer != 'Disabled']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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q2LGjHA6HfvrTn6q4uFiSVFRUpNjYWEVHR2vr1q3y+/3yer0qLS1VVFRUEy0BAIC2rcEr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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30ecaf2e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extras Removed\n",
    "count_df = emp_df.pivot_table(index=df['works'], values='contb_amt', aggfunc='count').plot(kind='bar',\n",
    "                        rot=0, color=my_color, legend=False, title='Count of Donation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "in state        541\n",
       "out of state    434\n",
       "Name: works, dtype: int64"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emp_df['works'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AliDqAABYgqgDAGAJog4AgCWIOgAAliDqAABYgqgDAGAJog4AgCWIOgAAliDqAABYgqgD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\nwBJEHQAASxB1AAAs8f8BWIiNhkMwkngAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb6dbc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extras Removed\n",
    "count_df = emp_df.pivot_table(index=df['works'], values='contb_amt', aggfunc='sum').plot(kind='bar',\n",
    "                        rot=0, color=my_color, legend=False, title='Total Donated')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<section id=\"Who\"></section>\n",
    "## Who Donated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "904"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.contbr_nm.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "David      31\n",
       "Michael    25\n",
       "Susan      20\n",
       "William    19\n",
       "Robert     19\n",
       "Name: first_nm, dtype: int64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.first_nm.value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ardaya        16\n",
       "Kelly          9\n",
       "Richardson     6\n",
       "Watson         5\n",
       "Pande          5\n",
       "Name: last_nm, dtype: int64"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.last_nm.value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Individual              966\n",
       "Interest Received         8\n",
       "PAC                       6\n",
       "In-Kind - Individual      5\n",
       "In-Kind - Party           4\n",
       "Refund/Rebate             1\n",
       "In-Kind - PAC             1\n",
       "Party                     1\n",
       "Name: contb_type, dtype: int64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.contb_type.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Individual              0.973790\n",
       "Interest Received       0.008065\n",
       "PAC                     0.006048\n",
       "In-Kind - Individual    0.005040\n",
       "In-Kind - Party         0.004032\n",
       "Refund/Rebate           0.001008\n",
       "In-Kind - PAC           0.001008\n",
       "Party                   0.001008\n",
       "Name: contb_type, dtype: float64"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.contb_type.value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<section id=\"1k\"></section>\n",
    "## Donations 1k and Over"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "don_1k = df[df['contb_amt'] >= 1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "don_1k = df[(df['contb_amt'] >= 1000)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "out of state    0.630208\n",
       "in state        0.369792\n",
       "Name: lives, dtype: float64"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "don_1k.lives.value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gCaIOAIAliDoAAJYg6gAAWIKoAwBgCaIOAIAliDoAAJYg6gAAWIKoAwBgCaIOAIAliDoA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb70fc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sum_df = don_1k.pivot_table(index=df_lives['lives'], values='contb_amt', aggfunc='sum').plot(kind='bar',\n",
    "                        rot=0, color=my_color, legend=False, title='Total Donated')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<section id=\"When2\"></section>\n",
    "## When Out of State Passes In State"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "don_df_100 = df[df.contb_amt <= 100]\n",
    "don_df_250 = df[df.contb_amt <= 250]\n",
    "don_df_350 = df[df.contb_amt <= 350]\n",
    "don_df_500 = df[df.contb_amt <= 500]\n",
    "don_df_750 = df[df.contb_amt <= 750]\n",
    "don_df_1000 = df[df.contb_amt <= 1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Concatinating the datasets together\n",
    "frames = [don_df_100, don_df_250, don_df_350, don_df_500, don_df_750, don_df_1000]\n",
    "\n",
    "don_concat = pd.concat(frames, keys=['100', '250', '350', '500', '750', '1000'])\n",
    "\n",
    "# resetting the index and dropping the columns we don't need\n",
    "don_concat = don_concat.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Pivoting by the amt ranges\n",
    "don_concat = don_concat.pivot_table('contb_amt',index='level_0',columns = 'lives',aggfunc='sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>lives</th>\n",
       "      <th>in state</th>\n",
       "      <th>out of state</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>level_0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>5683.68</td>\n",
       "      <td>2901.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>33314.22</td>\n",
       "      <td>10850.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>34914.22</td>\n",
       "      <td>11800.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>86789.22</td>\n",
       "      <td>30700.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>750</th>\n",
       "      <td>103444.22</td>\n",
       "      <td>35200.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "lives     in state  out of state\n",
       "level_0                         \n",
       "100        5683.68       2901.53\n",
       "250       33314.22      10850.53\n",
       "350       34914.22      11800.53\n",
       "500       86789.22      30700.53\n",
       "750      103444.22      35200.53"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_index= ['100', '250', '350', '500', '750', '1000']\n",
    "don_concat = don_concat.reindex(new_index)\n",
    "don_concat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x30ecdef400>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bu72goEABAQHF2i5tt1qtVzzH1Zw+fe56l+BRgoP9deJEfkVPAzeA2nk26ufZ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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30eb7b9a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "don_concat[['in state','out of state']].plot(kind='bar',figsize=(12,4))\n",
    "plt.xlabel('Ammount')\n",
    "locs, labels = plt.xticks()\n",
    "plt.setp(labels, rotation=360)\n",
    "plt.title('In State vs. Out of State')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<section id=\"top4\"></section>\n",
    "## Top 4 Most Frequent Donations In State vs Out of State"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Top 4 Donated Values\n",
    "don_25 = df[df.contb_amt == 25]\n",
    "don_250 = df[df.contb_amt == 250]\n",
    "don_500 = df[df.contb_amt == 500]\n",
    "don_1000 = df[df.contb_amt == 1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Concatinating the datasets together\n",
    "frames = [don_25, don_250, don_500, don_1000]\n",
    "\n",
    "don_concat = pd.concat(frames, keys=['25', '250', '500', '1000'])\n",
    "#resetting the index and dropping the columns we don't need\n",
    "don_concat = don_concat.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Pivoting by the amt ranges\n",
    "don_concat = don_concat.pivot_table('contb_amt',index='level_0',columns = 'lives',aggfunc='sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>lives</th>\n",
       "      <th>in state</th>\n",
       "      <th>out of state</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>level_0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>138000.0</td>\n",
       "      <td>242000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1275.0</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>22000.0</td>\n",
       "      <td>5500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>51500.0</td>\n",
       "      <td>18500.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "lives    in state  out of state\n",
       "level_0                        \n",
       "1000     138000.0      242000.0\n",
       "25         1275.0         300.0\n",
       "250       22000.0        5500.0\n",
       "500       51500.0       18500.0"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "don_concat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>lives</th>\n",
       "      <th>in state</th>\n",
       "      <th>out of state</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>level_0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1275.0</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>22000.0</td>\n",
       "      <td>5500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>51500.0</td>\n",
       "      <td>18500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>138000.0</td>\n",
       "      <td>242000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "lives    in state  out of state\n",
       "level_0                        \n",
       "25         1275.0         300.0\n",
       "250       22000.0        5500.0\n",
       "500       51500.0       18500.0\n",
       "1000     138000.0      242000.0"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_index= ['25', '250', '500', '1000']\n",
    "don_concat = don_concat.reindex(new_index)\n",
    "don_concat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x30ed5c0ba8>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ja40aNVQjR45Vu3YdPLgKAAAA/DcuyL1BGjZsJMMw9Le/va5u3XpKksLCasvf31+ffPKx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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x30ece4d5c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "don_concat[['in state','out of state']].plot(kind='bar',figsize=(12,4))\n",
    "plt.xlabel('Ammount')\n",
    "locs, labels = plt.xticks()\n",
    "plt.setp(labels, rotation=360)\n",
    "plt.title('In State vs. Out of State')"
   ]
  }
 ],
 "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}