2012-Presidential-Election-Funds-Tracker-Occupation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>MI</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Address</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Employer</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>dondatefixed</th>\n",
       "      <th>Amount</th>\n",
       "      <th>AmountSubmittedForMatching</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Micheal</td>\n",
       "      <td>J</td>\n",
       "      <td>Batchelder</td>\n",
       "      <td>232 Iditarod</td>\n",
       "      <td>Fairbanks</td>\n",
       "      <td>AK</td>\n",
       "      <td>99701</td>\n",
       "      <td>State of Alaska</td>\n",
       "      <td>Building Maintenence</td>\n",
       "      <td>2011-06-24</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Malcolm</td>\n",
       "      <td>P</td>\n",
       "      <td>Aalders</td>\n",
       "      <td>2675 Ashley Rd.</td>\n",
       "      <td>Shaker Hts.</td>\n",
       "      <td>OH</td>\n",
       "      <td>44122</td>\n",
       "      <td>Self</td>\n",
       "      <td>Musician/MBA Student</td>\n",
       "      <td>2012-01-17</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Scott</td>\n",
       "      <td>C</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>32 Snow Moon Estates</td>\n",
       "      <td>Moriarty</td>\n",
       "      <td>NM</td>\n",
       "      <td>87035</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PR</td>\n",
       "      <td>2011-10-05</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Scott</td>\n",
       "      <td>C</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>1827 Dartmouth Dr NE #107</td>\n",
       "      <td>Albuquerque</td>\n",
       "      <td>NM</td>\n",
       "      <td>87106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PR</td>\n",
       "      <td>2011-11-30</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Scott</td>\n",
       "      <td>C</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>1827 Darmouth Dr NE #107</td>\n",
       "      <td>Albuquerque</td>\n",
       "      <td>NM</td>\n",
       "      <td>87106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-03-05</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  First Name MI   Last Name                    Address         City State  \\\n",
       "0    Micheal  J  Batchelder               232 Iditarod    Fairbanks    AK   \n",
       "1    Malcolm  P     Aalders            2675 Ashley Rd.  Shaker Hts.    OH   \n",
       "2      Scott  C      Abbate       32 Snow Moon Estates     Moriarty    NM   \n",
       "3      Scott  C      Abbate  1827 Dartmouth Dr NE #107  Albuquerque    NM   \n",
       "4      Scott  C      Abbate   1827 Darmouth Dr NE #107  Albuquerque    NM   \n",
       "\n",
       "     Zip          Employer             Occupation dondatefixed  Amount  \\\n",
       "0  99701  State of Alaska   Building Maintenence    2011-06-24    15.0   \n",
       "1  44122             Self    Musician/MBA Student   2012-01-17    50.0   \n",
       "2  87035               NaN                     PR   2011-10-05    25.0   \n",
       "3  87106               NaN                     PR   2011-11-30    25.0   \n",
       "4  87106               NaN                    NaN   2012-03-05    25.0   \n",
       "\n",
       "   AmountSubmittedForMatching  TotalThisSubmission  TotalAllSubmission  \n",
       "0                        15.0                 15.0                15.0  \n",
       "1                        50.0                 50.0                50.0  \n",
       "2                        25.0                 75.0                75.0  \n",
       "3                        25.0                 75.0                75.0  \n",
       "4                        25.0                 75.0                75.0  "
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import seaborn as sea\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "import types\n",
    "import pandas as pd\n",
    "from botocore.client import Config\n",
    "import ibm_boto3\n",
    "\n",
    "def __iter__(self): return 0\n",
    "\n",
    "# @hidden_cell\n",
    "# The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials.\n",
    "# You might want to remove those credentials before you share the notebook.\n",
    "client_6572d5467f1b4eb8ba41678aec743684 = ibm_boto3.client(service_name='s3',\n",
    "    ibm_api_key_id='88eq1-wtCS4FcNXZX-8HqU_sLa2IHLwkb6HNYbN1K3Eg',\n",
    "    ibm_auth_endpoint=\"https://iam.ng.bluemix.net/oidc/token\",\n",
    "    config=Config(signature_version='oauth'),\n",
    "    endpoint_url='https://s3-api.us-geo.objectstorage.service.networklayer.com')\n",
    "\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='JohnsonSubmission1.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Jhonson1 = pd.read_excel(body)\n",
    "Jhonson1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>MI</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Address</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Employer</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>donation date</th>\n",
       "      <th>Amount</th>\n",
       "      <th>AmountSubmittedForMatching</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kevin</td>\n",
       "      <td>V.</td>\n",
       "      <td>Abbott</td>\n",
       "      <td>2411 S. Laurel Ave.</td>\n",
       "      <td>Sanford</td>\n",
       "      <td>FL</td>\n",
       "      <td>32771</td>\n",
       "      <td>self</td>\n",
       "      <td>Artist</td>\n",
       "      <td>2012-05-13</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Linda</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Abe</td>\n",
       "      <td>2911 Royal Glen Dr</td>\n",
       "      <td>Kingwood</td>\n",
       "      <td>TX</td>\n",
       "      <td>77339-1205</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unemployed</td>\n",
       "      <td>2012-04-05</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Janet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Abel</td>\n",
       "      <td>360 Bayshore Drive</td>\n",
       "      <td>Cicero</td>\n",
       "      <td>IN</td>\n",
       "      <td>46034</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Business Analyst</td>\n",
       "      <td>2012-04-10</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sharyl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ackerman</td>\n",
       "      <td>365 Pine Ridge Dr</td>\n",
       "      <td>Bloomfield Hills</td>\n",
       "      <td>MI</td>\n",
       "      <td>48304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-03-09</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>David</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ackmann</td>\n",
       "      <td>13615 Inwood Rd #160</td>\n",
       "      <td>Dallas</td>\n",
       "      <td>TX</td>\n",
       "      <td>75244</td>\n",
       "      <td>Hair Dresser|Self</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-05-30</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  First Name   MI Last Name               Address               City State  \\\n",
       "0      Kevin   V.    Abbott   2411 S. Laurel Ave.            Sanford    FL   \n",
       "1      Linda  NaN       Abe    2911 Royal Glen Dr           Kingwood    TX   \n",
       "2      Janet  NaN      Abel    360 Bayshore Drive             Cicero    IN   \n",
       "3     Sharyl  NaN  Ackerman     365 Pine Ridge Dr  Bloomfield Hills     MI   \n",
       "4      David  NaN   Ackmann  13615 Inwood Rd #160             Dallas    TX   \n",
       "\n",
       "          Zip           Employer        Occupation donation date  Amount  \\\n",
       "0       32771              self            Artist     2012-05-13    25.0   \n",
       "1  77339-1205                NaN        unemployed    2012-04-05    12.0   \n",
       "2       46034                NaN  Business Analyst    2012-04-10    25.0   \n",
       "3       48304                NaN               NaN    2012-03-09   250.0   \n",
       "4       75244  Hair Dresser|Self               NaN    2012-05-30    25.0   \n",
       "\n",
       "   AmountSubmittedForMatching  TotalThisSubmission  TotalAllSubmission  \n",
       "0                        25.0                 25.0                25.0  \n",
       "1                        12.0                 12.0                12.0  \n",
       "2                        25.0                 25.0                25.0  \n",
       "3                       250.0                250.0               250.0  \n",
       "4                        25.0                 25.0                25.0  "
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Itreating over JohnsonSubmission2.xlsx\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='JohnsonSubmission2.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Jhonson2 = pd.read_excel(body)\n",
    "Jhonson2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Prefix</th>\n",
       "      <th>First Name</th>\n",
       "      <th>MI</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Address</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip Code</th>\n",
       "      <th>Employer</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Donation Date</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Amount submitted</th>\n",
       "      <th>Total Amount This Submission</th>\n",
       "      <th>Total All Submissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>R</td>\n",
       "      <td>Jason</td>\n",
       "      <td>Cronk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4532 W. Kennedy Blvd #290</td>\n",
       "      <td>Tampa</td>\n",
       "      <td>FL</td>\n",
       "      <td>33609.0</td>\n",
       "      <td>Kforce Inc.</td>\n",
       "      <td>Programmers</td>\n",
       "      <td>2012-02-11</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Heather</td>\n",
       "      <td>A</td>\n",
       "      <td>Trapp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7939 Island Road</td>\n",
       "      <td>Eden Prairie</td>\n",
       "      <td>MN</td>\n",
       "      <td>55347.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-03-02</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tracy</td>\n",
       "      <td>J</td>\n",
       "      <td>Morton</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14843 Endicott Way #210</td>\n",
       "      <td>Apple Valley</td>\n",
       "      <td>MN</td>\n",
       "      <td>55124.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Teller</td>\n",
       "      <td>2012-03-20</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tony</td>\n",
       "      <td>P</td>\n",
       "      <td>Bergmann-Porter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1235 Yale Place #206</td>\n",
       "      <td>Minneapolis</td>\n",
       "      <td>MN</td>\n",
       "      <td>55403.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-03-22</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Jason</td>\n",
       "      <td>M</td>\n",
       "      <td>Scheurer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>307 Trinity Court #7</td>\n",
       "      <td>Princeton</td>\n",
       "      <td>NJ</td>\n",
       "      <td>8540.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>private portfolio manager</td>\n",
       "      <td>2012-04-02</td>\n",
       "      <td>500.0</td>\n",
       "      <td>250</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Prefix First Name     MI        Last Name  Suffix  \\\n",
       "0     NaN          R  Jason            Cronk     NaN   \n",
       "1     NaN    Heather     A             Trapp     NaN   \n",
       "2     NaN      Tracy      J           Morton     NaN   \n",
       "3     NaN       Tony      P  Bergmann-Porter     NaN   \n",
       "4     NaN      Jason      M         Scheurer     NaN   \n",
       "\n",
       "                     Address          City State  Zip Code      Employer  \\\n",
       "0  4532 W. Kennedy Blvd #290         Tampa    FL   33609.0  Kforce Inc.    \n",
       "1           7939 Island Road  Eden Prairie    MN   55347.0           NaN   \n",
       "2    14843 Endicott Way #210  Apple Valley    MN   55124.0           NaN   \n",
       "3       1235 Yale Place #206   Minneapolis    MN   55403.0           NaN   \n",
       "4       307 Trinity Court #7     Princeton    NJ    8540.0           NaN   \n",
       "\n",
       "                  Occupation Donation Date  Amount  Amount submitted   \\\n",
       "0                Programmers    2012-02-11   100.0                100   \n",
       "1                        NaN    2012-03-02    20.0                 20   \n",
       "2                     Teller    2012-03-20   250.0                250   \n",
       "3                        NaN    2012-03-22   200.0                200   \n",
       "4  private portfolio manager    2012-04-02   500.0                250   \n",
       "\n",
       "   Total Amount This Submission  Total All Submissions  \n",
       "0                         250.0                  250.0  \n",
       "1                          20.0                   20.0  \n",
       "2                         250.0                  250.0  \n",
       "3                         200.0                  200.0  \n",
       "4                         250.0                  250.0  "
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Itreating over JohnsonSubmission3-4.xlsx\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='JohnsonSubmission3-4.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Jhonson3 = pd.read_excel(body)\n",
    "Jhonson3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Prefix</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Middle Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Address</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Employer</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Donation Date</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Amount Submitted</th>\n",
       "      <th>Total This Submission</th>\n",
       "      <th>Total All Submissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Scott</td>\n",
       "      <td>C</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1827 Dartmouth Dr NE #107</td>\n",
       "      <td>Albuquerque</td>\n",
       "      <td>NM</td>\n",
       "      <td>87106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-09-12</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>H.</td>\n",
       "      <td>Abbott</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PO Box 112</td>\n",
       "      <td>Olivia</td>\n",
       "      <td>NC</td>\n",
       "      <td>28368</td>\n",
       "      <td>U.S. Army</td>\n",
       "      <td>Soldier</td>\n",
       "      <td>2012-09-17</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Stephen</td>\n",
       "      <td>L</td>\n",
       "      <td>Abbott</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PO Box 483</td>\n",
       "      <td>Putnam</td>\n",
       "      <td>CT</td>\n",
       "      <td>6260</td>\n",
       "      <td>Control Concepts USA, Inc</td>\n",
       "      <td>Sales</td>\n",
       "      <td>2012-09-15</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Brandon</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Abney</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5142 Owl Ct</td>\n",
       "      <td>West Richland</td>\n",
       "      <td>WA</td>\n",
       "      <td>99353</td>\n",
       "      <td>Energy Energy</td>\n",
       "      <td>Nuclear plant operator</td>\n",
       "      <td>2012-09-07</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>stephen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>abrams</td>\n",
       "      <td>NaN</td>\n",
       "      <td>p.o box 2161</td>\n",
       "      <td>kitty hawk</td>\n",
       "      <td>NC</td>\n",
       "      <td>27949</td>\n",
       "      <td>self</td>\n",
       "      <td>self</td>\n",
       "      <td>2012-09-17</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Prefix First Name Middle Name Last Name Suffix                    Address  \\\n",
       "0    NaN      Scott           C    Abbate    NaN  1827 Dartmouth Dr NE #107   \n",
       "1    NaN     Joseph          H.    Abbott    NaN                 PO Box 112   \n",
       "2    NaN    Stephen           L    Abbott    NaN                 PO Box 483   \n",
       "3    NaN    Brandon       Spain     Abney    NaN                5142 Owl Ct   \n",
       "4    NaN    stephen         NaN    abrams    NaN               p.o box 2161   \n",
       "\n",
       "            City State Postal Code                    Employer  \\\n",
       "0    Albuquerque    NM       87106                         NaN   \n",
       "1         Olivia    NC       28368                  U.S. Army    \n",
       "2         Putnam    CT        6260  Control Concepts USA, Inc    \n",
       "3  West Richland    WA       99353              Energy Energy    \n",
       "4     kitty hawk    NC       27949                        self   \n",
       "\n",
       "                Occupation Donation Date  Amount  Amount Submitted  \\\n",
       "0                      NaN    2012-09-12    50.0              50.0   \n",
       "1                 Soldier     2012-09-17    25.0              25.0   \n",
       "2                   Sales     2012-09-15   100.0             100.0   \n",
       "3  Nuclear plant operator     2012-09-07   100.0             100.0   \n",
       "4                     self    2012-09-17   100.0             100.0   \n",
       "\n",
       "   Total This Submission  Total All Submissions  \n",
       "0                   50.0                  125.0  \n",
       "1                   25.0                   25.0  \n",
       "2                  100.0                  150.0  \n",
       "3                  100.0                  100.0  \n",
       "4                  100.0                  100.0  "
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Itreating over JohnsonSubmission5-6.xlsx\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='JohnsonSubmission5-6.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Jhonson4 = pd.read_excel(body)\n",
    "Jhonson4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Prefix</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Middle Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Address</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Employer</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Donation Date</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Amount Submitted</th>\n",
       "      <th>Total This Submission</th>\n",
       "      <th>Total All Submissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Yuri</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Abashkin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34 Hemlock Rd</td>\n",
       "      <td>Livingston</td>\n",
       "      <td>NJ</td>\n",
       "      <td>7039</td>\n",
       "      <td>Corvid, LLC</td>\n",
       "      <td>Property Manager</td>\n",
       "      <td>2012-09-23</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Chad</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Abbey</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14023 Kimberley Ln</td>\n",
       "      <td>Houston</td>\n",
       "      <td>TX</td>\n",
       "      <td>77079</td>\n",
       "      <td>D.K Wilson CPA</td>\n",
       "      <td>Bookkeeper</td>\n",
       "      <td>2012-10-31</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>C</td>\n",
       "      <td>Abbott</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126 Hoyt St</td>\n",
       "      <td>Buffalo</td>\n",
       "      <td>NY</td>\n",
       "      <td>14213</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Manager/student</td>\n",
       "      <td>2012-11-03</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>H.</td>\n",
       "      <td>Abbott</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PO Box 112</td>\n",
       "      <td>Olivia</td>\n",
       "      <td>NC</td>\n",
       "      <td>28368</td>\n",
       "      <td>U.S. Army</td>\n",
       "      <td>Soldier</td>\n",
       "      <td>2012-09-17</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Judith</td>\n",
       "      <td>B.</td>\n",
       "      <td>Abel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200 Diplomat Dr., Apt. 5K</td>\n",
       "      <td>Mount Kisco</td>\n",
       "      <td>NY</td>\n",
       "      <td>10549</td>\n",
       "      <td>Intersil Corp</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>2012-09-25</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Prefix First Name Middle Name Last Name Suffix                    Address  \\\n",
       "0    NaN       Yuri         NaN  Abashkin    NaN              34 Hemlock Rd   \n",
       "1    NaN       Chad         NaN     Abbey    NaN         14023 Kimberley Ln   \n",
       "2    NaN  Elizabeth           C    Abbott    NaN                126 Hoyt St   \n",
       "3    NaN     Joseph          H.    Abbott    NaN                 PO Box 112   \n",
       "4    NaN     Judith          B.      Abel    NaN  200 Diplomat Dr., Apt. 5K   \n",
       "\n",
       "          City State Postal Code         Employer         Occupation  \\\n",
       "0   Livingston    NJ        7039     Corvid, LLC   Property Manager    \n",
       "1      Houston    TX       77079  D.K Wilson CPA         Bookkeeper    \n",
       "2      Buffalo    NY       14213              NaN   Manager/student    \n",
       "3       Olivia    NC       28368       U.S. Army            Soldier    \n",
       "4  Mount Kisco    NY       10549   Intersil Corp           Engineer    \n",
       "\n",
       "  Donation Date  Amount  Amount Submitted  Total This Submission  \\\n",
       "0    2012-09-23    50.0              50.0                   50.0   \n",
       "1    2012-10-31    25.0              25.0                   25.0   \n",
       "2    2012-11-03    25.0              25.0                   25.0   \n",
       "3    2012-09-17    25.0              25.0                   25.0   \n",
       "4    2012-09-25    50.0              50.0                  150.0   \n",
       "\n",
       "   Total All Submissions  \n",
       "0                   50.0  \n",
       "1                   25.0  \n",
       "2                   25.0  \n",
       "3                   50.0  \n",
       "4                  150.0  "
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Itreating over JohnsonSubmission7.xlsx\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='JohnsonSubmission7.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Jhonson5 = pd.read_excel(body)\n",
    "Jhonson5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Address</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Amount Submitted</th>\n",
       "      <th>Amount submitted</th>\n",
       "      <th>AmountSubmittedForMatching</th>\n",
       "      <th>City</th>\n",
       "      <th>Donation Date</th>\n",
       "      <th>Employer</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>...</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Total All Submissions</th>\n",
       "      <th>Total Amount This Submission</th>\n",
       "      <th>Total This Submission</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Zip Code</th>\n",
       "      <th>donation date</th>\n",
       "      <th>dondatefixed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>232 Iditarod</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Fairbanks</td>\n",
       "      <td>NaT</td>\n",
       "      <td>State of Alaska</td>\n",
       "      <td>Micheal</td>\n",
       "      <td>Batchelder</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>99701</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2011-06-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2675 Ashley Rd.</td>\n",
       "      <td>50.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Shaker Hts.</td>\n",
       "      <td>NaT</td>\n",
       "      <td>Self</td>\n",
       "      <td>Malcolm</td>\n",
       "      <td>Aalders</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>44122</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2012-01-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>32 Snow Moon Estates</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Moriarty</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Scott</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>87035</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2011-10-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1827 Dartmouth Dr NE #107</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Albuquerque</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Scott</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>87106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2011-11-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1827 Darmouth Dr NE #107</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Albuquerque</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Scott</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>87106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2012-03-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Address  Amount  Amount Submitted  Amount submitted   \\\n",
       "0               232 Iditarod    15.0               NaN                NaN   \n",
       "1            2675 Ashley Rd.    50.0               NaN                NaN   \n",
       "2       32 Snow Moon Estates    25.0               NaN                NaN   \n",
       "3  1827 Dartmouth Dr NE #107    25.0               NaN                NaN   \n",
       "4   1827 Darmouth Dr NE #107    25.0               NaN                NaN   \n",
       "\n",
       "   AmountSubmittedForMatching         City Donation Date          Employer  \\\n",
       "0                        15.0    Fairbanks           NaT  State of Alaska    \n",
       "1                        50.0  Shaker Hts.           NaT             Self    \n",
       "2                        25.0     Moriarty           NaT               NaN   \n",
       "3                        25.0  Albuquerque           NaT               NaN   \n",
       "4                        25.0  Albuquerque           NaT               NaN   \n",
       "\n",
       "  First Name   Last Name  ... Suffix Total All Submissions  \\\n",
       "0    Micheal  Batchelder  ...    NaN                   NaN   \n",
       "1    Malcolm     Aalders  ...    NaN                   NaN   \n",
       "2      Scott      Abbate  ...    NaN                   NaN   \n",
       "3      Scott      Abbate  ...    NaN                   NaN   \n",
       "4      Scott      Abbate  ...    NaN                   NaN   \n",
       "\n",
       "  Total Amount This Submission Total This Submission TotalAllSubmission  \\\n",
       "0                          NaN                   NaN               15.0   \n",
       "1                          NaN                   NaN               50.0   \n",
       "2                          NaN                   NaN               75.0   \n",
       "3                          NaN                   NaN               75.0   \n",
       "4                          NaN                   NaN               75.0   \n",
       "\n",
       "  TotalThisSubmission    Zip  Zip Code  donation date  dondatefixed  \n",
       "0                15.0  99701       NaN            NaT    2011-06-24  \n",
       "1                50.0  44122       NaN            NaT    2012-01-17  \n",
       "2                75.0  87035       NaN            NaT    2011-10-05  \n",
       "3                75.0  87106       NaN            NaT    2011-11-30  \n",
       "4                75.0  87106       NaN            NaT    2012-03-05  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging all the files containing Jhonson's campaign data\n",
    "jcampaign = pd.DataFrame()\n",
    "jcampaign=jcampaign.append(Jhonson1)\n",
    "jcampaign=jcampaign.append(Jhonson2)\n",
    "jcampaign=jcampaign.append(Jhonson3)\n",
    "jcampaign=jcampaign.append(Jhonson4)\n",
    "jcampaign=jcampaign.append(Jhonson5)\n",
    "jcampaign.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Micheal</td>\n",
       "      <td>Batchelder</td>\n",
       "      <td>Fairbanks</td>\n",
       "      <td>AK</td>\n",
       "      <td>Building Maintenence</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Malcolm</td>\n",
       "      <td>Aalders</td>\n",
       "      <td>Shaker Hts.</td>\n",
       "      <td>OH</td>\n",
       "      <td>Musician/MBA Student</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Scott</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>Moriarty</td>\n",
       "      <td>NM</td>\n",
       "      <td>PR</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Scott</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>Albuquerque</td>\n",
       "      <td>NM</td>\n",
       "      <td>PR</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Scott</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>Albuquerque</td>\n",
       "      <td>NM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  First Name   Last Name         City State             Occupation  \\\n",
       "0    Micheal  Batchelder    Fairbanks    AK  Building Maintenence    \n",
       "1    Malcolm     Aalders  Shaker Hts.    OH   Musician/MBA Student   \n",
       "2      Scott      Abbate     Moriarty    NM                     PR   \n",
       "3      Scott      Abbate  Albuquerque    NM                     PR   \n",
       "4      Scott      Abbate  Albuquerque    NM                    NaN   \n",
       "\n",
       "   TotalAllSubmission  \n",
       "0                15.0  \n",
       "1                50.0  \n",
       "2                75.0  \n",
       "3                75.0  \n",
       "4                75.0  "
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selecting only the columns required for reporting.\n",
    "johnson_campaign=jcampaign[['First Name', 'Last Name', 'City', 'State', 'Occupation', 'TotalAllSubmission']].copy()\n",
    "johnson_campaign.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Micheal</td>\n",
       "      <td>Batchelder</td>\n",
       "      <td>Fairbanks</td>\n",
       "      <td>AK</td>\n",
       "      <td>Building Maintenence</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Malcolm</td>\n",
       "      <td>Aalders</td>\n",
       "      <td>Shaker Hts.</td>\n",
       "      <td>OH</td>\n",
       "      <td>Musician/MBA Student</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Scott</td>\n",
       "      <td>Abbate</td>\n",
       "      <td>Moriarty</td>\n",
       "      <td>NM</td>\n",
       "      <td>PR</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Stephen</td>\n",
       "      <td>Abbott</td>\n",
       "      <td>Putnam</td>\n",
       "      <td>CT</td>\n",
       "      <td>sales</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Morgan</td>\n",
       "      <td>Abraham</td>\n",
       "      <td>Scottsdale</td>\n",
       "      <td>AZ</td>\n",
       "      <td>student</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  First Name   Last Name         City State             Occupation  \\\n",
       "0    Micheal  Batchelder    Fairbanks    AK  Building Maintenence    \n",
       "1    Malcolm     Aalders  Shaker Hts.    OH   Musician/MBA Student   \n",
       "2      Scott      Abbate     Moriarty    NM                     PR   \n",
       "5    Stephen      Abbott       Putnam    CT                  sales   \n",
       "7     Morgan     Abraham   Scottsdale    AZ                student   \n",
       "\n",
       "   TotalAllSubmission  \n",
       "0                15.0  \n",
       "1                50.0  \n",
       "2                75.0  \n",
       "5                50.0  \n",
       "7                25.0  "
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cleaning data by dropping multiple rows containing data of the same person.\n",
    "jc=johnson_campaign.drop_duplicates(subset =[\"First Name\",\"Last Name\"], \n",
    "                     keep = 'first') \n",
    "jc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cleaning data renaming the columns as in the previous data sets for campaign data.\n",
    "\n",
    "jc.rename(columns={'FirstName': 'First Name', 'LastName':'Last Name'}, inplace = True)\n",
    "\n",
    "# Cleaning data by Adding a column with the name of the candidate.\n",
    "\n",
    "jc.insert(6, 'Candidate', 'Gary Johnson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2465</th>\n",
       "      <td>Ben</td>\n",
       "      <td>Zigelnik</td>\n",
       "      <td>Sevierville</td>\n",
       "      <td>TN</td>\n",
       "      <td>medically retired military</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2466</th>\n",
       "      <td>Val</td>\n",
       "      <td>Zimmer</td>\n",
       "      <td>Mandeville</td>\n",
       "      <td>LA</td>\n",
       "      <td>cart attendant</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2467</th>\n",
       "      <td>Suzan</td>\n",
       "      <td>Zimmerman</td>\n",
       "      <td>Marietta</td>\n",
       "      <td>GA</td>\n",
       "      <td>Consultant</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2468</th>\n",
       "      <td>Kurt</td>\n",
       "      <td>Zimmermann</td>\n",
       "      <td>Bethesda</td>\n",
       "      <td>MD</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2471</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>Zotz</td>\n",
       "      <td>Milaca</td>\n",
       "      <td>MN</td>\n",
       "      <td>Biotechnology Technical Specialist</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name   Last Name         City State  \\\n",
       "2465        Ben    Zigelnik  Sevierville    TN   \n",
       "2466        Val      Zimmer   Mandeville    LA   \n",
       "2467      Suzan   Zimmerman     Marietta    GA   \n",
       "2468       Kurt  Zimmermann     Bethesda    MD   \n",
       "2471    Douglas        Zotz       Milaca    MN   \n",
       "\n",
       "                               Occupation  TotalAllSubmission     Candidate  \n",
       "2465          medically retired military                  NaN  Gary Johnson  \n",
       "2466                      cart attendant                  NaN  Gary Johnson  \n",
       "2467                          Consultant                  NaN  Gary Johnson  \n",
       "2468                            Engineer                  NaN  Gary Johnson  \n",
       "2471  Biotechnology Technical Specialist                  NaN  Gary Johnson  "
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating a new data set with Jhonson's Files\n",
    "totalJhonsonCampaign = pd.DataFrame()\n",
    "totalJhonsonCampaign=totalJhonsonCampaign.append(jc)\n",
    "totalJhonsonCampaign.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3112, 7)"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# droping columns having null values and finding the size of the data set\n",
    "totalJhonsonCampaign = totalJhonsonCampaign.dropna()\n",
    "totalJhonsonCampaign.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Building Maintenence\\xa0', 'Musician/MBA Student', 'PR', ...,\n",
       "       '\\xa0 Adjunct History Instructor\\xa0', '3D specialist',\n",
       "       'System Operator\\xa0'], dtype=object)"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Listing all the unique occupations\n",
    "dfj = pd.DataFrame(totalJhonsonCampaign)\n",
    "dfj.tail()\n",
    "dfj.Occupation.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1328</th>\n",
       "      <td>dennis</td>\n",
       "      <td>yokum</td>\n",
       "      <td>clinton</td>\n",
       "      <td>TN</td>\n",
       "      <td>3d specialist</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1329</th>\n",
       "      <td>chris</td>\n",
       "      <td>young</td>\n",
       "      <td>harvest</td>\n",
       "      <td>AL</td>\n",
       "      <td>paramedic</td>\n",
       "      <td>10.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1330</th>\n",
       "      <td>brian</td>\n",
       "      <td>zakrajsek</td>\n",
       "      <td>worcester</td>\n",
       "      <td>MA</td>\n",
       "      <td>system operator</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1331</th>\n",
       "      <td>jordan</td>\n",
       "      <td>zimmerman</td>\n",
       "      <td>monterey</td>\n",
       "      <td>CA</td>\n",
       "      <td>computer programmer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1333</th>\n",
       "      <td>justin</td>\n",
       "      <td>zuckerman</td>\n",
       "      <td>boca raton</td>\n",
       "      <td>FL</td>\n",
       "      <td>student</td>\n",
       "      <td>10.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name        City State            Occupation  \\\n",
       "1328     dennis      yokum     clinton    TN         3d specialist   \n",
       "1329      chris      young     harvest    AL            paramedic    \n",
       "1330      brian  zakrajsek   worcester    MA      system operator    \n",
       "1331     jordan  zimmerman    monterey    CA  computer programmer    \n",
       "1333     justin  zuckerman  boca raton    FL              student    \n",
       "\n",
       "      TotalAllSubmission     Candidate  \n",
       "1328               100.0  gary johnson  \n",
       "1329                10.0  gary johnson  \n",
       "1330                25.0  gary johnson  \n",
       "1331                50.0  gary johnson  \n",
       "1333                10.0  gary johnson  "
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting the data into lower case\n",
    "totalJhonsonCampaign['First Name']= totalJhonsonCampaign['First Name'].str.lower()\n",
    "totalJhonsonCampaign['Last Name']= totalJhonsonCampaign['Last Name'].str.lower()\n",
    "totalJhonsonCampaign['City']= totalJhonsonCampaign['City'].str.lower()\n",
    "totalJhonsonCampaign['Occupation']= totalJhonsonCampaign['Occupation'].str.lower()\n",
    "totalJhonsonCampaign['Candidate']= totalJhonsonCampaign['Candidate'].str.lower()\n",
    "dfj = pd.DataFrame(totalJhonsonCampaign)\n",
    "dfj.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1445"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Listing the number of unique occupations\n",
    "dfj.Occupation.nunique(dropna = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>robert</td>\n",
       "      <td>alexander</td>\n",
       "      <td>bedford</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>allan</td>\n",
       "      <td>anderson</td>\n",
       "      <td>monument</td>\n",
       "      <td>CO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>kristen</td>\n",
       "      <td>babcock</td>\n",
       "      <td>colorado springs</td>\n",
       "      <td>CO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>ben</td>\n",
       "      <td>bachrach</td>\n",
       "      <td>dearborn</td>\n",
       "      <td>MI</td>\n",
       "      <td>engineer</td>\n",
       "      <td>75.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>matthew</td>\n",
       "      <td>barnes</td>\n",
       "      <td>temple city</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>heather</td>\n",
       "      <td>barr</td>\n",
       "      <td>new brighton</td>\n",
       "      <td>PA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>john</td>\n",
       "      <td>bauman</td>\n",
       "      <td>mountain view</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>chad</td>\n",
       "      <td>bayer</td>\n",
       "      <td>austin</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>80.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>vitaly</td>\n",
       "      <td>bekkerman</td>\n",
       "      <td>burtonsville</td>\n",
       "      <td>MD</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>jessica</td>\n",
       "      <td>belle</td>\n",
       "      <td>las vegas</td>\n",
       "      <td>NV</td>\n",
       "      <td>engineer/support</td>\n",
       "      <td>60.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>john</td>\n",
       "      <td>belshe</td>\n",
       "      <td>raytown</td>\n",
       "      <td>MO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>mordechai</td>\n",
       "      <td>ben-zeev</td>\n",
       "      <td>san jose</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>william</td>\n",
       "      <td>bergman</td>\n",
       "      <td>lagrange park</td>\n",
       "      <td>IL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>jeffrey</td>\n",
       "      <td>berman</td>\n",
       "      <td>atlanta</td>\n",
       "      <td>GA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>steven</td>\n",
       "      <td>berson</td>\n",
       "      <td>brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>anil</td>\n",
       "      <td>bhagwat</td>\n",
       "      <td>university park</td>\n",
       "      <td>FL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>jackson</td>\n",
       "      <td>bierfeldt</td>\n",
       "      <td>amherst</td>\n",
       "      <td>OH</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>philip</td>\n",
       "      <td>blaiklock</td>\n",
       "      <td>tallahassee</td>\n",
       "      <td>FL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>zachary</td>\n",
       "      <td>borden</td>\n",
       "      <td>rochester</td>\n",
       "      <td>NY</td>\n",
       "      <td>engineer</td>\n",
       "      <td>225.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>mark</td>\n",
       "      <td>bosua</td>\n",
       "      <td>coral springs</td>\n",
       "      <td>FL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>jeffrey</td>\n",
       "      <td>bradley</td>\n",
       "      <td>atlanta</td>\n",
       "      <td>GA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>nathan</td>\n",
       "      <td>britton</td>\n",
       "      <td>thornton</td>\n",
       "      <td>CO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>ross</td>\n",
       "      <td>brown</td>\n",
       "      <td>aurora</td>\n",
       "      <td>CO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>martin</td>\n",
       "      <td>buchanan</td>\n",
       "      <td>denver</td>\n",
       "      <td>CO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>patrick</td>\n",
       "      <td>burns</td>\n",
       "      <td>portales</td>\n",
       "      <td>NM</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>daniel</td>\n",
       "      <td>cannon</td>\n",
       "      <td>savannah</td>\n",
       "      <td>GA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>michelle</td>\n",
       "      <td>carey</td>\n",
       "      <td>everett</td>\n",
       "      <td>WA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>william</td>\n",
       "      <td>carey</td>\n",
       "      <td>clearwater</td>\n",
       "      <td>FL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>matthew</td>\n",
       "      <td>carter</td>\n",
       "      <td>auburndale</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>225.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>stephen</td>\n",
       "      <td>caver</td>\n",
       "      <td>austin</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>lauryn</td>\n",
       "      <td>bruhn</td>\n",
       "      <td>denver</td>\n",
       "      <td>CO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>annmarie</td>\n",
       "      <td>cutler</td>\n",
       "      <td>los alamos</td>\n",
       "      <td>NM</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>stuart</td>\n",
       "      <td>eichert</td>\n",
       "      <td>mountain view</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>christopher</td>\n",
       "      <td>fawcett</td>\n",
       "      <td>charlotte</td>\n",
       "      <td>NC</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>bob</td>\n",
       "      <td>frey</td>\n",
       "      <td>cincinnati</td>\n",
       "      <td>OH</td>\n",
       "      <td>engineer</td>\n",
       "      <td>125.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>evan</td>\n",
       "      <td>garrison</td>\n",
       "      <td>stuart</td>\n",
       "      <td>FL</td>\n",
       "      <td>retired engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>keith</td>\n",
       "      <td>laube</td>\n",
       "      <td>lindenhurst</td>\n",
       "      <td>NY</td>\n",
       "      <td>engineer</td>\n",
       "      <td>150.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>mike</td>\n",
       "      <td>lints</td>\n",
       "      <td>brookfield</td>\n",
       "      <td>VT</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>brian</td>\n",
       "      <td>lintz</td>\n",
       "      <td>wilmington</td>\n",
       "      <td>DE</td>\n",
       "      <td>engineer</td>\n",
       "      <td>60.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>david</td>\n",
       "      <td>mason</td>\n",
       "      <td>carrollton</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>60.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>brad</td>\n",
       "      <td>maxwell</td>\n",
       "      <td>orem</td>\n",
       "      <td>UT</td>\n",
       "      <td>engineer</td>\n",
       "      <td>60.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>819</th>\n",
       "      <td>tames</td>\n",
       "      <td>mctigue</td>\n",
       "      <td>chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>john</td>\n",
       "      <td>mumchmeyer</td>\n",
       "      <td>crozet</td>\n",
       "      <td>VA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>60.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>philip</td>\n",
       "      <td>newman</td>\n",
       "      <td>tyler</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>gor</td>\n",
       "      <td>nishanov</td>\n",
       "      <td>redmond</td>\n",
       "      <td>WA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>939</th>\n",
       "      <td>sondra</td>\n",
       "      <td>peart</td>\n",
       "      <td>arlington</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1029</th>\n",
       "      <td>wynn</td>\n",
       "      <td>rostek</td>\n",
       "      <td>titusville</td>\n",
       "      <td>FL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1052</th>\n",
       "      <td>william</td>\n",
       "      <td>satterwhite</td>\n",
       "      <td>douglasville</td>\n",
       "      <td>GA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1066</th>\n",
       "      <td>timothy</td>\n",
       "      <td>schiedel</td>\n",
       "      <td>marietta</td>\n",
       "      <td>GA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>james</td>\n",
       "      <td>sewell</td>\n",
       "      <td>racine</td>\n",
       "      <td>WI</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>richard</td>\n",
       "      <td>shank</td>\n",
       "      <td>gresham</td>\n",
       "      <td>OR</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>david</td>\n",
       "      <td>shanklin</td>\n",
       "      <td>maryville</td>\n",
       "      <td>MO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1235</th>\n",
       "      <td>cheri</td>\n",
       "      <td>virella</td>\n",
       "      <td>pleasant hope</td>\n",
       "      <td>MO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1258</th>\n",
       "      <td>dale</td>\n",
       "      <td>wedel</td>\n",
       "      <td>brownsburg</td>\n",
       "      <td>IN</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1272</th>\n",
       "      <td>bruce</td>\n",
       "      <td>west</td>\n",
       "      <td>cypress</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>150.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>matthew</td>\n",
       "      <td>wicklund</td>\n",
       "      <td>hummelstown</td>\n",
       "      <td>PA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>200.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>belinda</td>\n",
       "      <td>wong-swanson</td>\n",
       "      <td>santa fe</td>\n",
       "      <td>NM</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1313</th>\n",
       "      <td>joseph</td>\n",
       "      <td>woodward</td>\n",
       "      <td>copley</td>\n",
       "      <td>OH</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1316</th>\n",
       "      <td>david</td>\n",
       "      <td>wordinger</td>\n",
       "      <td>medical lake</td>\n",
       "      <td>WA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1331</th>\n",
       "      <td>jordan</td>\n",
       "      <td>zimmerman</td>\n",
       "      <td>monterey</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>285 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       First Name     Last Name              City State           Occupation  \\\n",
       "62         robert     alexander           bedford    MA             engineer   \n",
       "99          allan      anderson          monument    CO             engineer   \n",
       "158       kristen       babcock  colorado springs    CO             engineer   \n",
       "166           ben      bachrach          dearborn    MI             engineer   \n",
       "200       matthew        barnes       temple city    CA             engineer   \n",
       "202       heather          barr      new brighton    PA             engineer   \n",
       "223          john        bauman     mountain view    CA             engineer   \n",
       "235          chad         bayer            austin    TX             engineer   \n",
       "271        vitaly     bekkerman      burtonsville    MD             engineer   \n",
       "278       jessica         belle         las vegas    NV     engineer/support   \n",
       "280          john        belshe           raytown    MO             engineer   \n",
       "295     mordechai      ben-zeev          san jose    CA             engineer   \n",
       "304       william       bergman     lagrange park    IL             engineer   \n",
       "315       jeffrey        berman           atlanta    GA             engineer   \n",
       "328        steven        berson          brooklyn    NY             engineer   \n",
       "341          anil       bhagwat   university park    FL            engineer    \n",
       "343       jackson     bierfeldt           amherst    OH            engineer    \n",
       "358        philip     blaiklock       tallahassee    FL             engineer   \n",
       "405       zachary        borden         rochester    NY             engineer   \n",
       "414          mark         bosua     coral springs    FL             engineer   \n",
       "435       jeffrey       bradley           atlanta    GA             engineer   \n",
       "472        nathan       britton          thornton    CO             engineer   \n",
       "494          ross         brown            aurora    CO             engineer   \n",
       "517        martin      buchanan            denver    CO             engineer   \n",
       "534       patrick         burns          portales    NM             engineer   \n",
       "577        daniel        cannon          savannah    GA            engineer    \n",
       "584      michelle         carey           everett    WA             engineer   \n",
       "585       william         carey        clearwater    FL             engineer   \n",
       "600       matthew        carter        auburndale    MA             engineer   \n",
       "626       stephen         caver            austin    TX             engineer   \n",
       "...           ...           ...               ...   ...                  ...   \n",
       "156        lauryn         bruhn            denver    CO             engineer   \n",
       "261      annmarie        cutler        los alamos    NM             engineer   \n",
       "338        stuart       eichert     mountain view    CA             engineer   \n",
       "365   christopher       fawcett         charlotte    NC             engineer   \n",
       "403           bob          frey        cincinnati    OH             engineer   \n",
       "418          evan      garrison            stuart    FL    retired engineer    \n",
       "674         keith         laube       lindenhurst    NY             engineer   \n",
       "714          mike         lints        brookfield    VT             engineer   \n",
       "715         brian         lintz        wilmington    DE             engineer   \n",
       "786         david         mason        carrollton    TX             engineer   \n",
       "794          brad       maxwell              orem    UT             engineer   \n",
       "819         tames       mctigue           chicago    IL             engineer   \n",
       "873          john    mumchmeyer            crozet    VA             engineer   \n",
       "890        philip        newman             tyler    TX             engineer   \n",
       "892           gor      nishanov           redmond    WA             engineer   \n",
       "939        sondra         peart         arlington    TX             engineer   \n",
       "1029         wynn        rostek        titusville    FL             engineer   \n",
       "1052      william   satterwhite      douglasville    GA            engineer    \n",
       "1066      timothy      schiedel          marietta    GA             engineer   \n",
       "1086        james        sewell            racine    WI             engineer   \n",
       "1088      richard         shank           gresham    OR            engineer    \n",
       "1089        david      shanklin         maryville    MO             engineer   \n",
       "1235        cheri       virella     pleasant hope    MO             engineer   \n",
       "1258         dale         wedel        brownsburg    IN             engineer   \n",
       "1272        bruce          west           cypress    TX             engineer   \n",
       "1284      matthew      wicklund       hummelstown    PA             engineer   \n",
       "1308      belinda  wong-swanson          santa fe    NM             engineer   \n",
       "1313       joseph      woodward            copley    OH             engineer   \n",
       "1316        david     wordinger      medical lake    WA             engineer   \n",
       "1331       jordan     zimmerman          monterey    CA            engineer    \n",
       "\n",
       "      TotalAllSubmission     Candidate  \n",
       "62                 250.0  gary johnson  \n",
       "99                 100.0  gary johnson  \n",
       "158                 25.0  gary johnson  \n",
       "166                 75.0  gary johnson  \n",
       "200                100.0  gary johnson  \n",
       "202                 50.0  gary johnson  \n",
       "223                100.0  gary johnson  \n",
       "235                 80.0  gary johnson  \n",
       "271                 25.0  gary johnson  \n",
       "278                 60.0  gary johnson  \n",
       "280                100.0  gary johnson  \n",
       "295                 50.0  gary johnson  \n",
       "304                 10.0  gary johnson  \n",
       "315                100.0  gary johnson  \n",
       "328                100.0  gary johnson  \n",
       "341                 25.0  gary johnson  \n",
       "343                 10.0  gary johnson  \n",
       "358                 50.0  gary johnson  \n",
       "405                225.0  gary johnson  \n",
       "414                 25.0  gary johnson  \n",
       "435                100.0  gary johnson  \n",
       "472                100.0  gary johnson  \n",
       "494                 50.0  gary johnson  \n",
       "517                100.0  gary johnson  \n",
       "534                100.0  gary johnson  \n",
       "577                 25.0  gary johnson  \n",
       "584                 50.0  gary johnson  \n",
       "585                 25.0  gary johnson  \n",
       "600                225.0  gary johnson  \n",
       "626                100.0  gary johnson  \n",
       "...                  ...           ...  \n",
       "156                 25.0  gary johnson  \n",
       "261                100.0  gary johnson  \n",
       "338                250.0  gary johnson  \n",
       "365                 50.0  gary johnson  \n",
       "403                125.0  gary johnson  \n",
       "418                 25.0  gary johnson  \n",
       "674                150.0  gary johnson  \n",
       "714                100.0  gary johnson  \n",
       "715                 60.0  gary johnson  \n",
       "786                 60.0  gary johnson  \n",
       "794                 60.0  gary johnson  \n",
       "819                 25.0  gary johnson  \n",
       "873                 60.0  gary johnson  \n",
       "890                 10.0  gary johnson  \n",
       "892                100.0  gary johnson  \n",
       "939                100.0  gary johnson  \n",
       "1029                25.0  gary johnson  \n",
       "1052                25.0  gary johnson  \n",
       "1066                50.0  gary johnson  \n",
       "1086                50.0  gary johnson  \n",
       "1088                25.0  gary johnson  \n",
       "1089               100.0  gary johnson  \n",
       "1235               250.0  gary johnson  \n",
       "1258                50.0  gary johnson  \n",
       "1272               150.0  gary johnson  \n",
       "1284               200.0  gary johnson  \n",
       "1308               100.0  gary johnson  \n",
       "1313               100.0  gary johnson  \n",
       "1316               250.0  gary johnson  \n",
       "1331                50.0  gary johnson  \n",
       "\n",
       "[285 rows x 7 columns]"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grouping together all the people who are Engineer\n",
    "dfj['Occupation'].replace('(.*engineer.*)','engineer',regex=True, inplace = True)\n",
    "dfj['Occupation'] = dfj['Occupation'].replace(to_replace=['engoneer','web developer','engoneer','web designer','programmer','software eng.','computer engineer','statistical computer engineer'], value='engineer', regex=True)\n",
    "dfj[dfj['Occupation'].str.match(r'(.*engineer.*)')==True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "# grouping together people of a perticular category of occupation\n",
    "dfj['Occupation'].replace('(.*student.*)','student',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*manager.*)','manager',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*analyst.*)','analyst',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*mechanic.*)','mechanic',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*teacher.*)','teacher',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*professor.*)','professor',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*self.*)','self employed',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*intern.*)','intern',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*doctor.*)','doctor',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*nurse.*)','nurse',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*writer.*)','writer',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*retired.*)','retired',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*software.*)','it',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*information technology.*)','it',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*invest.*)','investment',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*machinist.*)','mechanic',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*technician.*)','technician',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*sales.*)','sales',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*worker.*)','worker',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*trainer.*)','trainer',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*estate.*)','real estate',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*educator.*)','educator',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*instructor.*)','instructor',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*it.*)','it',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*law.*)','law',regex=True, inplace = True)\n",
    "dfj['Occupation'].replace('(.*attorney.*)','law',regex=True, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "890"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Listing the number of unique occupations after grouping the major occupations\n",
    "dfj.Occupation.nunique(dropna = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1328</th>\n",
       "      <td>dennis</td>\n",
       "      <td>yokum</td>\n",
       "      <td>clinton</td>\n",
       "      <td>TN</td>\n",
       "      <td>3d specialist</td>\n",
       "      <td>100.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1329</th>\n",
       "      <td>chris</td>\n",
       "      <td>young</td>\n",
       "      <td>harvest</td>\n",
       "      <td>AL</td>\n",
       "      <td>paramedic</td>\n",
       "      <td>10.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1330</th>\n",
       "      <td>brian</td>\n",
       "      <td>zakrajsek</td>\n",
       "      <td>worcester</td>\n",
       "      <td>MA</td>\n",
       "      <td>system operator</td>\n",
       "      <td>25.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1331</th>\n",
       "      <td>jordan</td>\n",
       "      <td>zimmerman</td>\n",
       "      <td>monterey</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1333</th>\n",
       "      <td>justin</td>\n",
       "      <td>zuckerman</td>\n",
       "      <td>boca raton</td>\n",
       "      <td>FL</td>\n",
       "      <td>student</td>\n",
       "      <td>10.0</td>\n",
       "      <td>gary johnson</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name        City State        Occupation  \\\n",
       "1328     dennis      yokum     clinton    TN     3d specialist   \n",
       "1329      chris      young     harvest    AL        paramedic    \n",
       "1330      brian  zakrajsek   worcester    MA  system operator    \n",
       "1331     jordan  zimmerman    monterey    CA         engineer    \n",
       "1333     justin  zuckerman  boca raton    FL           student   \n",
       "\n",
       "      TotalAllSubmission     Candidate  \n",
       "1328               100.0  gary johnson  \n",
       "1329                10.0  gary johnson  \n",
       "1330                25.0  gary johnson  \n",
       "1331                50.0  gary johnson  \n",
       "1333                10.0  gary johnson  "
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying the data set\n",
    "dfj.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1328</th>\n",
       "      <td>Dennis</td>\n",
       "      <td>Yokum</td>\n",
       "      <td>Clinton</td>\n",
       "      <td>TN</td>\n",
       "      <td>3D Specialist</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1329</th>\n",
       "      <td>Chris</td>\n",
       "      <td>Young</td>\n",
       "      <td>Harvest</td>\n",
       "      <td>AL</td>\n",
       "      <td>Paramedic</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1330</th>\n",
       "      <td>Brian</td>\n",
       "      <td>Zakrajsek</td>\n",
       "      <td>Worcester</td>\n",
       "      <td>MA</td>\n",
       "      <td>System Operator</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1331</th>\n",
       "      <td>Jordan</td>\n",
       "      <td>Zimmerman</td>\n",
       "      <td>Monterey</td>\n",
       "      <td>CA</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1333</th>\n",
       "      <td>Justin</td>\n",
       "      <td>Zuckerman</td>\n",
       "      <td>Boca Raton</td>\n",
       "      <td>FL</td>\n",
       "      <td>Student</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Gary Johnson</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name        City State        Occupation  \\\n",
       "1328     Dennis      Yokum     Clinton    TN     3D Specialist   \n",
       "1329      Chris      Young     Harvest    AL        Paramedic    \n",
       "1330      Brian  Zakrajsek   Worcester    MA  System Operator    \n",
       "1331     Jordan  Zimmerman    Monterey    CA         Engineer    \n",
       "1333     Justin  Zuckerman  Boca Raton    FL           Student   \n",
       "\n",
       "      TotalAllSubmission     Candidate  \n",
       "1328               100.0  Gary Johnson  \n",
       "1329                10.0  Gary Johnson  \n",
       "1330                25.0  Gary Johnson  \n",
       "1331                50.0  Gary Johnson  \n",
       "1333                10.0  Gary Johnson  "
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting the data to camel casing\n",
    "dfj['First Name']= dfj['First Name'].str.title()\n",
    "dfj['Last Name']= dfj['Last Name'].str.title()\n",
    "dfj['City']= dfj['City'].str.title()\n",
    "dfj['Occupation']= dfj['Occupation'].str.title()\n",
    "dfj['Candidate']= dfj['Candidate'].str.title()\n",
    "totalJhonsonCampaign = pd.DataFrame(dfj)\n",
    "totalJhonsonCampaign.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21617.6"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finding the amount contributed by Engineers\n",
    "dfj.loc[dfj['Occupation'] == 'Engineer', 'TotalAllSubmission'].sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     First Name    Last Name       City State Occupation  TotalAllSubmission  \\\n",
      "684      Olivia  Christopher  Warrenton    VA    Student                1.00   \n",
      "1075      James      Schultz    Chicago    IL        Pm                 1.00   \n",
      "33      Matthew    Armstrong    Manteca    CA     Tutor                 0.05   \n",
      "32      Matthew    Armstrong    Manteca    CA     Tutor                 0.05   \n",
      "1530       Sean     Haggerty     Berwyn    PA    Student                0.02   \n",
      "\n",
      "         Candidate  \n",
      "684   Gary Johnson  \n",
      "1075  Gary Johnson  \n",
      "33    Gary Johnson  \n",
      "32    Gary Johnson  \n",
      "1530  Gary Johnson  \n"
     ]
    }
   ],
   "source": [
    "# Sorting the data set by descending order of total contribution\n",
    "sort_by_contribution = totalJhonsonCampaign.sort_values('TotalAllSubmission',ascending=False)\n",
    "print(sort_by_contribution.tail(n=5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Candidate     Occupation  TotalAllSubmission\n",
      "661  Gary Johnson        Retired            31586.11\n",
      "254  Gary Johnson       Engineer            21617.60\n",
      "399  Gary Johnson             It            18431.17\n",
      "440  Gary Johnson        Manager            15514.32\n",
      "412  Gary Johnson            Law            11435.12\n",
      "725  Gary Johnson        Student            10493.39\n",
      "682  Gary Johnson  Self Employed             8615.36\n",
      "670  Gary Johnson          Sales             7634.00\n",
      "36   Gary Johnson        Analyst             5487.20\n",
      "396  Gary Johnson     Investment             4380.00\n"
     ]
    }
   ],
   "source": [
    "# Grouping the data set by ['Candidate', 'Occupation'] and Sorting tit by descending order of total contribution\n",
    "grouping = totalJhonsonCampaign.groupby(['Candidate', 'Occupation'], as_index=False).TotalAllSubmission.sum().sort_values(['Candidate', 'Occupation'])\n",
    "occupation_contribution_jhonson = grouping.sort_values('TotalAllSubmission',ascending=False)\n",
    "\n",
    "print(occupation_contribution_jhonson.head(n=10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Prefix</th>\n",
       "      <th>FirstName</th>\n",
       "      <th>MI</th>\n",
       "      <th>LastName</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Address1</th>\n",
       "      <th>Address2</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip5</th>\n",
       "      <th>Employer</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>DonationDate</th>\n",
       "      <th>Amount</th>\n",
       "      <th>AmountSubmittedForMatching</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Unnamed: 17</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mr.</td>\n",
       "      <td>Jerry</td>\n",
       "      <td>J</td>\n",
       "      <td>Nichols</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Forney</td>\n",
       "      <td>TX</td>\n",
       "      <td>75126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4/24/2011</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mr.</td>\n",
       "      <td>George</td>\n",
       "      <td>M</td>\n",
       "      <td>Schaffer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>341 Third Street</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Baton Rouge</td>\n",
       "      <td>LA</td>\n",
       "      <td>70801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4/25/2011</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Mark</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Seymour</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3003 Benham Ave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Elkhart</td>\n",
       "      <td>IN</td>\n",
       "      <td>46517</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4/26/2011</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mr.</td>\n",
       "      <td>Jerry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dyess</td>\n",
       "      <td>Jr.</td>\n",
       "      <td>619 Sword Bridge Dr.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lewisville</td>\n",
       "      <td>TX</td>\n",
       "      <td>75056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4/27/2011</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ms.</td>\n",
       "      <td>Colette</td>\n",
       "      <td>H</td>\n",
       "      <td>Benge</td>\n",
       "      <td>NaN</td>\n",
       "      <td>530 Yale Pl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bossier City</td>\n",
       "      <td>LA</td>\n",
       "      <td>71111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4/29/2011</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Prefix FirstName   MI  LastName Suffix              Address1 Address2  \\\n",
       "0    Mr.     Jerry    J   Nichols    NaN                 15936      NaN   \n",
       "1    Mr.    George    M  Schaffer    NaN      341 Third Street      NaN   \n",
       "2    NaN      Mark  NaN   Seymour    NaN       3003 Benham Ave      NaN   \n",
       "3    Mr.     Jerry  NaN     Dyess    Jr.  619 Sword Bridge Dr.      NaN   \n",
       "4    Ms.   Colette    H     Benge    NaN           530 Yale Pl      NaN   \n",
       "\n",
       "           City State   Zip5 Employer Occupation DonationDate  Amount  \\\n",
       "0        Forney    TX  75126      NaN        NaN    4/24/2011   100.0   \n",
       "1   Baton Rouge    LA  70801      NaN        NaN    4/25/2011   100.0   \n",
       "2       Elkhart    IN  46517      NaN        NaN    4/26/2011    10.0   \n",
       "3    Lewisville    TX  75056      NaN        NaN    4/27/2011    25.0   \n",
       "4  Bossier City    LA  71111      NaN        NaN    4/29/2011   100.0   \n",
       "\n",
       "   AmountSubmittedForMatching  TotalThisSubmission  TotalAllSubmission  \\\n",
       "0                       100.0                100.0               100.0   \n",
       "1                       100.0                100.0               100.0   \n",
       "2                        10.0                 10.0                10.0   \n",
       "3                        25.0                 25.0                25.0   \n",
       "4                       100.0                100.0               100.0   \n",
       "\n",
       "  Unnamed: 17  \n",
       "0         NaN  \n",
       "1         NaN  \n",
       "2         NaN  \n",
       "3         NaN  \n",
       "4         NaN  "
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Itreating over RoemerSubmission1.xlsx\n",
    "\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='RoemerSubmission1.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Roemer1 = pd.read_excel(body)\n",
    "Roemer1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FirstName</th>\n",
       "      <th>MI</th>\n",
       "      <th>LastName</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Address1</th>\n",
       "      <th>Address2</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip5</th>\n",
       "      <th>Employer</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>DonationDate</th>\n",
       "      <th>Amount</th>\n",
       "      <th>AmountSubmittedForMatching</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jeffrey</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Klotz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6015 Fossilwood Ct</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Erie</td>\n",
       "      <td>PA</td>\n",
       "      <td>16506</td>\n",
       "      <td>Wife And Kids</td>\n",
       "      <td>Stay At Home Dad</td>\n",
       "      <td>2012-02-28</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Diane D.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Goldman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2705 Quaker Lane</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Plymouth</td>\n",
       "      <td>MN</td>\n",
       "      <td>55441</td>\n",
       "      <td>None</td>\n",
       "      <td>Retired</td>\n",
       "      <td>2012-02-28</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vincent</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lisanti</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PO Box 540</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rock Hill</td>\n",
       "      <td>NY</td>\n",
       "      <td>12775</td>\n",
       "      <td>Self Employed</td>\n",
       "      <td>Custom Cabinet Maker</td>\n",
       "      <td>2012-02-28</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sheldon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lichter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>255 High Street</td>\n",
       "      <td>#426</td>\n",
       "      <td>Eugene</td>\n",
       "      <td>OR</td>\n",
       "      <td>97401</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Retired</td>\n",
       "      <td>2012-02-28</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jason</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bowers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80 North St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Somerville</td>\n",
       "      <td>MA</td>\n",
       "      <td>02144</td>\n",
       "      <td>Decision Resources</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>2012-02-28</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  FirstName   MI LastName Suffix            Address1 Address2        City  \\\n",
       "0   Jeffrey  NaN    Klotz    NaN  6015 Fossilwood Ct      NaN        Erie   \n",
       "1  Diane D.  NaN  Goldman    NaN    2705 Quaker Lane      NaN    Plymouth   \n",
       "2   Vincent  NaN  Lisanti    NaN          PO Box 540      NaN   Rock Hill   \n",
       "3   Sheldon  NaN  Lichter    NaN     255 High Street     #426      Eugene   \n",
       "4     Jason  NaN   Bowers    NaN         80 North St      NaN  Somerville   \n",
       "\n",
       "  State   Zip5            Employer            Occupation DonationDate  Amount  \\\n",
       "0    PA  16506       Wife And Kids      Stay At Home Dad   2012-02-28    50.0   \n",
       "1    MN  55441                None               Retired   2012-02-28    25.0   \n",
       "2    NY  12775       Self Employed  Custom Cabinet Maker   2012-02-28    25.0   \n",
       "3    OR  97401                 NaN               Retired   2012-02-28    15.0   \n",
       "4    MA  02144  Decision Resources               Analyst   2012-02-28   100.0   \n",
       "\n",
       "   AmountSubmittedForMatching  TotalThisSubmission  TotalAllSubmission  \n",
       "0                        50.0                 50.0               100.0  \n",
       "1                        25.0                200.0               200.0  \n",
       "2                        25.0                 25.0                25.0  \n",
       "3                        15.0                 15.0                30.0  \n",
       "4                       100.0                100.0               200.0  "
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Itreating over RoemerSubmission2.xlsx\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='RoemerSubmission2.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Roemer2 = pd.read_excel(body)\n",
    "Roemer2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Address1</th>\n",
       "      <th>Address2</th>\n",
       "      <th>Amount</th>\n",
       "      <th>AmountSubmittedForMatching</th>\n",
       "      <th>City</th>\n",
       "      <th>DonationDate</th>\n",
       "      <th>Employer</th>\n",
       "      <th>FirstName</th>\n",
       "      <th>LastName</th>\n",
       "      <th>MI</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Prefix</th>\n",
       "      <th>State</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>Unnamed: 17</th>\n",
       "      <th>Zip5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Forney</td>\n",
       "      <td>4/24/2011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jerry</td>\n",
       "      <td>Nichols</td>\n",
       "      <td>J</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>TX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>341 Third Street</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Baton Rouge</td>\n",
       "      <td>4/25/2011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>George</td>\n",
       "      <td>Schaffer</td>\n",
       "      <td>M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>LA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3003 Benham Ave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Elkhart</td>\n",
       "      <td>4/26/2011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mark</td>\n",
       "      <td>Seymour</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>619 Sword Bridge Dr.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Lewisville</td>\n",
       "      <td>4/27/2011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jerry</td>\n",
       "      <td>Dyess</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>TX</td>\n",
       "      <td>Jr.</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>530 Yale Pl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Bossier City</td>\n",
       "      <td>4/29/2011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Colette</td>\n",
       "      <td>Benge</td>\n",
       "      <td>H</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ms.</td>\n",
       "      <td>LA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Address1 Address2  Amount  AmountSubmittedForMatching  \\\n",
       "0                 15936      NaN   100.0                       100.0   \n",
       "1      341 Third Street      NaN   100.0                       100.0   \n",
       "2       3003 Benham Ave      NaN    10.0                        10.0   \n",
       "3  619 Sword Bridge Dr.      NaN    25.0                        25.0   \n",
       "4           530 Yale Pl      NaN   100.0                       100.0   \n",
       "\n",
       "           City DonationDate Employer FirstName  LastName   MI Occupation  \\\n",
       "0        Forney    4/24/2011      NaN     Jerry   Nichols    J        NaN   \n",
       "1   Baton Rouge    4/25/2011      NaN    George  Schaffer    M        NaN   \n",
       "2       Elkhart    4/26/2011      NaN      Mark   Seymour  NaN        NaN   \n",
       "3    Lewisville    4/27/2011      NaN     Jerry     Dyess  NaN        NaN   \n",
       "4  Bossier City    4/29/2011      NaN   Colette     Benge    H        NaN   \n",
       "\n",
       "  Prefix State Suffix  TotalAllSubmission  TotalThisSubmission Unnamed: 17  \\\n",
       "0    Mr.    TX    NaN               100.0                100.0         NaN   \n",
       "1    Mr.    LA    NaN               100.0                100.0         NaN   \n",
       "2    NaN    IN    NaN                10.0                 10.0         NaN   \n",
       "3    Mr.    TX    Jr.                25.0                 25.0         NaN   \n",
       "4    Ms.    LA    NaN               100.0                100.0         NaN   \n",
       "\n",
       "    Zip5  \n",
       "0  75126  \n",
       "1  70801  \n",
       "2  46517  \n",
       "3  75056  \n",
       "4  71111  "
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging all the files containing Roemer's campaign data\n",
    "\n",
    "rcampaign = pd.DataFrame()\n",
    "rcampaign=rcampaign.append(Roemer1)\n",
    "rcampaign=rcampaign.append(Roemer2)\n",
    "rcampaign.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FirstName</th>\n",
       "      <th>LastName</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Nichols</td>\n",
       "      <td>Forney</td>\n",
       "      <td>TX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>George</td>\n",
       "      <td>Schaffer</td>\n",
       "      <td>Baton Rouge</td>\n",
       "      <td>LA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mark</td>\n",
       "      <td>Seymour</td>\n",
       "      <td>Elkhart</td>\n",
       "      <td>IN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Dyess</td>\n",
       "      <td>Lewisville</td>\n",
       "      <td>TX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Colette</td>\n",
       "      <td>Benge</td>\n",
       "      <td>Bossier City</td>\n",
       "      <td>LA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  FirstName  LastName          City State Occupation  TotalAllSubmission\n",
       "0     Jerry   Nichols        Forney    TX        NaN               100.0\n",
       "1    George  Schaffer   Baton Rouge    LA        NaN               100.0\n",
       "2      Mark   Seymour       Elkhart    IN        NaN                10.0\n",
       "3     Jerry     Dyess    Lewisville    TX        NaN                25.0\n",
       "4   Colette     Benge  Bossier City    LA        NaN               100.0"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selecting only the columns required for reporting.\n",
    "\n",
    "Roemer_campaign=rcampaign[['FirstName', 'LastName', 'City', 'State', 'Occupation', 'TotalAllSubmission']].copy()\n",
    "Roemer_campaign.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FirstName</th>\n",
       "      <th>LastName</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Nichols</td>\n",
       "      <td>Forney</td>\n",
       "      <td>TX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>George</td>\n",
       "      <td>Schaffer</td>\n",
       "      <td>Baton Rouge</td>\n",
       "      <td>LA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mark</td>\n",
       "      <td>Seymour</td>\n",
       "      <td>Elkhart</td>\n",
       "      <td>IN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerry</td>\n",
       "      <td>Dyess</td>\n",
       "      <td>Lewisville</td>\n",
       "      <td>TX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Colette</td>\n",
       "      <td>Benge</td>\n",
       "      <td>Bossier City</td>\n",
       "      <td>LA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  FirstName  LastName          City State Occupation  TotalAllSubmission\n",
       "0     Jerry   Nichols        Forney    TX        NaN               100.0\n",
       "1    George  Schaffer   Baton Rouge    LA        NaN               100.0\n",
       "2      Mark   Seymour       Elkhart    IN        NaN                10.0\n",
       "3     Jerry     Dyess    Lewisville    TX        NaN                25.0\n",
       "4   Colette     Benge  Bossier City    LA        NaN               100.0"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cleaning data by dropping multiple rows containing data of the same person.\n",
    "\n",
    "rc=Roemer_campaign.drop_duplicates(subset =[\"FirstName\", \"LastName\"],\n",
    "                     keep = 'first') \n",
    "rc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cleaning data renaming the columns as in the previous data sets for campaign data.\n",
    "\n",
    "rc.rename(columns={'FirstName': 'First Name', 'LastName':'Last Name'}, inplace = True)\n",
    "\n",
    "# Cleaning data by Adding a column with the name of the candidate.\n",
    "rc.insert(6, 'Candidate', 'Buddy Roemer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>KRISTIE</td>\n",
       "      <td>DONNELLAN</td>\n",
       "      <td>Boston</td>\n",
       "      <td>MA</td>\n",
       "      <td>HEALTHCARE TECHNOLOGIST</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Clint</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Sandy</td>\n",
       "      <td>UT</td>\n",
       "      <td>Web Developer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>erik</td>\n",
       "      <td>meyers</td>\n",
       "      <td>Minneapolis</td>\n",
       "      <td>MN</td>\n",
       "      <td>Web Business Analyst</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>Nick</td>\n",
       "      <td>Bright</td>\n",
       "      <td>Malibu</td>\n",
       "      <td>CA</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>marita</td>\n",
       "      <td>GOWIN</td>\n",
       "      <td>Troutdale</td>\n",
       "      <td>OR</td>\n",
       "      <td>retired</td>\n",
       "      <td>80.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name         City State               Occupation  \\\n",
       "997     KRISTIE  DONNELLAN       Boston    MA  HEALTHCARE TECHNOLOGIST   \n",
       "998       Clint      Berry        Sandy    UT            Web Developer   \n",
       "999        erik     meyers  Minneapolis    MN     Web Business Analyst   \n",
       "1000       Nick     Bright       Malibu    CA                 Engineer   \n",
       "1001     marita      GOWIN    Troutdale    OR                  retired   \n",
       "\n",
       "      TotalAllSubmission     Candidate  \n",
       "997                100.0  Buddy Roemer  \n",
       "998                 25.0  Buddy Roemer  \n",
       "999                 10.0  Buddy Roemer  \n",
       "1000               100.0  Buddy Roemer  \n",
       "1001                80.0  Buddy Roemer  "
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating a new data set with Romer's Files\n",
    "totalRoemerCampaign = pd.DataFrame()\n",
    "totalRoemerCampaign=totalRoemerCampaign.append(rc)\n",
    "totalRoemerCampaign.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4718, 7)"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# droping columns having null values and finding the size of the data set\n",
    "totalRoemerCampaign = totalRoemerCampaign.dropna()\n",
    "totalRoemerCampaign.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Software Engineer', 'Project accounting manager', 'economist',\n",
       "       ..., 'Student/Receptionist', 'HEALTHCARE TECHNOLOGIST',\n",
       "       'Web Business Analyst'], dtype=object)"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Listing all the unique occupations\n",
    "dfr = pd.DataFrame(totalRoemerCampaign)\n",
    "dfr.Occupation.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>kristie</td>\n",
       "      <td>donnellan</td>\n",
       "      <td>boston</td>\n",
       "      <td>MA</td>\n",
       "      <td>healthcare technologist</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>clint</td>\n",
       "      <td>berry</td>\n",
       "      <td>sandy</td>\n",
       "      <td>UT</td>\n",
       "      <td>web developer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>erik</td>\n",
       "      <td>meyers</td>\n",
       "      <td>minneapolis</td>\n",
       "      <td>MN</td>\n",
       "      <td>web business analyst</td>\n",
       "      <td>10.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>nick</td>\n",
       "      <td>bright</td>\n",
       "      <td>malibu</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>marita</td>\n",
       "      <td>gowin</td>\n",
       "      <td>troutdale</td>\n",
       "      <td>OR</td>\n",
       "      <td>retired</td>\n",
       "      <td>80.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name         City State               Occupation  \\\n",
       "997     kristie  donnellan       boston    MA  healthcare technologist   \n",
       "998       clint      berry        sandy    UT            web developer   \n",
       "999        erik     meyers  minneapolis    MN     web business analyst   \n",
       "1000       nick     bright       malibu    CA                 engineer   \n",
       "1001     marita      gowin    troutdale    OR                  retired   \n",
       "\n",
       "      TotalAllSubmission     Candidate  \n",
       "997                100.0  buddy roemer  \n",
       "998                 25.0  buddy roemer  \n",
       "999                 10.0  buddy roemer  \n",
       "1000               100.0  buddy roemer  \n",
       "1001                80.0  buddy roemer  "
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting the data into lower case\n",
    "totalRoemerCampaign['First Name']= totalRoemerCampaign['First Name'].str.lower()\n",
    "totalRoemerCampaign['Last Name']= totalRoemerCampaign['Last Name'].str.lower()\n",
    "totalRoemerCampaign['City']= totalRoemerCampaign['City'].str.lower()\n",
    "totalRoemerCampaign['Occupation']= totalRoemerCampaign['Occupation'].str.lower()\n",
    "totalRoemerCampaign['Candidate']= totalRoemerCampaign['Candidate'].str.lower()\n",
    "dfr = pd.DataFrame(totalRoemerCampaign)\n",
    "dfr.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1824"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Listing the number of unique occupations\n",
    "dfr.Occupation.nunique(dropna = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>devin</td>\n",
       "      <td>ronge</td>\n",
       "      <td>king of prussia</td>\n",
       "      <td>PA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>40.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>roy</td>\n",
       "      <td>duzan</td>\n",
       "      <td>shreveport</td>\n",
       "      <td>LA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>alvin</td>\n",
       "      <td>schmitt</td>\n",
       "      <td>blacksburg</td>\n",
       "      <td>VA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>william</td>\n",
       "      <td>settoon</td>\n",
       "      <td>new orleans</td>\n",
       "      <td>LA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>will</td>\n",
       "      <td>settoon</td>\n",
       "      <td>new orleans</td>\n",
       "      <td>LA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>mark</td>\n",
       "      <td>johnston</td>\n",
       "      <td>chattanooga</td>\n",
       "      <td>TN</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>michael</td>\n",
       "      <td>tomc</td>\n",
       "      <td>willowick</td>\n",
       "      <td>OH</td>\n",
       "      <td>engineer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>brian</td>\n",
       "      <td>meyer</td>\n",
       "      <td>lemon grove</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>william</td>\n",
       "      <td>sharar</td>\n",
       "      <td>southlake</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>dimitry</td>\n",
       "      <td>kotlyarevsky</td>\n",
       "      <td>brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>matthew</td>\n",
       "      <td>sullivan</td>\n",
       "      <td>beverly</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>john</td>\n",
       "      <td>beard</td>\n",
       "      <td>columbia</td>\n",
       "      <td>SC</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>john</td>\n",
       "      <td>white</td>\n",
       "      <td>tulsa</td>\n",
       "      <td>OK</td>\n",
       "      <td>engineer</td>\n",
       "      <td>20.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>mark</td>\n",
       "      <td>meister</td>\n",
       "      <td>marlborough</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>arthur</td>\n",
       "      <td>popp</td>\n",
       "      <td>issaquah</td>\n",
       "      <td>WA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>deborah</td>\n",
       "      <td>shivers</td>\n",
       "      <td>lake ozark</td>\n",
       "      <td>MO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>james</td>\n",
       "      <td>recktenwalt</td>\n",
       "      <td>sloatsburg</td>\n",
       "      <td>NY</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>niels</td>\n",
       "      <td>nielsen</td>\n",
       "      <td>golden</td>\n",
       "      <td>CO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>jonathan</td>\n",
       "      <td>bartlett</td>\n",
       "      <td>tempe</td>\n",
       "      <td>AZ</td>\n",
       "      <td>engineer</td>\n",
       "      <td>120.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>joseph</td>\n",
       "      <td>sperber</td>\n",
       "      <td>gaithersburg</td>\n",
       "      <td>MD</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>diana</td>\n",
       "      <td>dixon</td>\n",
       "      <td>lorton</td>\n",
       "      <td>VA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>gary</td>\n",
       "      <td>miguel</td>\n",
       "      <td>mountain view</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>dave</td>\n",
       "      <td>reinmuth</td>\n",
       "      <td>carrollton</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>doug</td>\n",
       "      <td>klingensmith</td>\n",
       "      <td>s.b.</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>raymond</td>\n",
       "      <td>gregory</td>\n",
       "      <td>marietta</td>\n",
       "      <td>GA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>lesley</td>\n",
       "      <td>duncan</td>\n",
       "      <td>northport</td>\n",
       "      <td>AL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>robert</td>\n",
       "      <td>zach</td>\n",
       "      <td>timonium</td>\n",
       "      <td>MD</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>john</td>\n",
       "      <td>pensy</td>\n",
       "      <td>west sunbury</td>\n",
       "      <td>PA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>robert</td>\n",
       "      <td>hammond</td>\n",
       "      <td>santa cruz</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>wayne</td>\n",
       "      <td>labiche</td>\n",
       "      <td>new iberia</td>\n",
       "      <td>LA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>damon</td>\n",
       "      <td>chance</td>\n",
       "      <td>tulsa</td>\n",
       "      <td>OK</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>clifford</td>\n",
       "      <td>owens</td>\n",
       "      <td>mountain view</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>steven</td>\n",
       "      <td>bruns</td>\n",
       "      <td>st. charles</td>\n",
       "      <td>MO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>david</td>\n",
       "      <td>mcmahan</td>\n",
       "      <td>sidney</td>\n",
       "      <td>OH</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>eduardo</td>\n",
       "      <td>de la paz</td>\n",
       "      <td>huntsville</td>\n",
       "      <td>AL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>william</td>\n",
       "      <td>earley</td>\n",
       "      <td>derwood</td>\n",
       "      <td>MD</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>lonnie</td>\n",
       "      <td>eley</td>\n",
       "      <td>fort wayne</td>\n",
       "      <td>IN</td>\n",
       "      <td>sr. engineer/business analyst</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>jose</td>\n",
       "      <td>lopez</td>\n",
       "      <td>miami</td>\n",
       "      <td>FL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>james</td>\n",
       "      <td>monsees</td>\n",
       "      <td>dayton</td>\n",
       "      <td>MD</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>hugh</td>\n",
       "      <td>casey</td>\n",
       "      <td>santa fe</td>\n",
       "      <td>NM</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>michael</td>\n",
       "      <td>warpenburg</td>\n",
       "      <td>austin</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>igor</td>\n",
       "      <td>stavnitser</td>\n",
       "      <td>chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>kristin</td>\n",
       "      <td>dawson</td>\n",
       "      <td>cincinnati</td>\n",
       "      <td>OH</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>kathleen</td>\n",
       "      <td>barker</td>\n",
       "      <td>granada hills</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>wayne</td>\n",
       "      <td>gisel</td>\n",
       "      <td>philomath</td>\n",
       "      <td>OR</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>laurence</td>\n",
       "      <td>garfield</td>\n",
       "      <td>evanston</td>\n",
       "      <td>IL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>steven</td>\n",
       "      <td>busby</td>\n",
       "      <td>austin</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>matthew</td>\n",
       "      <td>loar</td>\n",
       "      <td>seattle</td>\n",
       "      <td>WA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>hugh</td>\n",
       "      <td>nile</td>\n",
       "      <td>calcutta</td>\n",
       "      <td>OH</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>robert</td>\n",
       "      <td>beggs</td>\n",
       "      <td>woodland</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>timothy</td>\n",
       "      <td>hathaway</td>\n",
       "      <td>alexandria</td>\n",
       "      <td>VA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>1.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>elkin</td>\n",
       "      <td>sierra</td>\n",
       "      <td>leesburg</td>\n",
       "      <td>VA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>jerry</td>\n",
       "      <td>dupuy</td>\n",
       "      <td>houston</td>\n",
       "      <td>TX</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>stanislav</td>\n",
       "      <td>mazhara</td>\n",
       "      <td>castro valley</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>958</th>\n",
       "      <td>hlb</td>\n",
       "      <td>engineering</td>\n",
       "      <td>pittsburgh</td>\n",
       "      <td>PA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>jonathan</td>\n",
       "      <td>byers</td>\n",
       "      <td>atlanta</td>\n",
       "      <td>GA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>marylee</td>\n",
       "      <td>belleville</td>\n",
       "      <td>newton center</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>robb</td>\n",
       "      <td>degreef</td>\n",
       "      <td>de pere</td>\n",
       "      <td>WI</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>clint</td>\n",
       "      <td>berry</td>\n",
       "      <td>sandy</td>\n",
       "      <td>UT</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>nick</td>\n",
       "      <td>bright</td>\n",
       "      <td>malibu</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>283 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name     Last Name             City State  \\\n",
       "5         devin         ronge  king of prussia    PA   \n",
       "11          roy         duzan       shreveport    LA   \n",
       "13        alvin       schmitt       blacksburg    VA   \n",
       "15      william       settoon      new orleans    LA   \n",
       "16         will       settoon      new orleans    LA   \n",
       "21         mark      johnston      chattanooga    TN   \n",
       "36      michael          tomc        willowick    OH   \n",
       "37        brian         meyer      lemon grove    CA   \n",
       "42      william        sharar        southlake    TX   \n",
       "89      dimitry  kotlyarevsky         brooklyn    NY   \n",
       "102     matthew      sullivan          beverly    MA   \n",
       "108        john         beard         columbia    SC   \n",
       "193        john         white            tulsa    OK   \n",
       "202        mark       meister      marlborough    MA   \n",
       "205      arthur          popp         issaquah    WA   \n",
       "211     deborah       shivers       lake ozark    MO   \n",
       "214       james   recktenwalt       sloatsburg    NY   \n",
       "227       niels       nielsen           golden    CO   \n",
       "230    jonathan      bartlett            tempe    AZ   \n",
       "238      joseph       sperber     gaithersburg    MD   \n",
       "244       diana         dixon           lorton    VA   \n",
       "254        gary        miguel    mountain view    CA   \n",
       "263        dave      reinmuth       carrollton    TX   \n",
       "287        doug  klingensmith             s.b.    CA   \n",
       "303     raymond       gregory         marietta    GA   \n",
       "340      lesley        duncan        northport    AL   \n",
       "344      robert          zach         timonium    MD   \n",
       "358        john         pensy     west sunbury    PA   \n",
       "361      robert       hammond       santa cruz    CA   \n",
       "367       wayne       labiche       new iberia    LA   \n",
       "...         ...           ...              ...   ...   \n",
       "26        damon        chance            tulsa    OK   \n",
       "29     clifford         owens    mountain view    CA   \n",
       "33       steven         bruns      st. charles    MO   \n",
       "61        david       mcmahan           sidney    OH   \n",
       "69      eduardo     de la paz       huntsville    AL   \n",
       "89      william        earley          derwood    MD   \n",
       "91       lonnie          eley       fort wayne    IN   \n",
       "114        jose         lopez            miami    FL   \n",
       "116       james       monsees           dayton    MD   \n",
       "128        hugh         casey         santa fe    NM   \n",
       "165     michael    warpenburg           austin    TX   \n",
       "174        igor    stavnitser          chicago    IL   \n",
       "198     kristin        dawson       cincinnati    OH   \n",
       "246    kathleen        barker    granada hills    CA   \n",
       "250       wayne         gisel        philomath    OR   \n",
       "257    laurence      garfield         evanston    IL   \n",
       "260      steven         busby           austin    TX   \n",
       "298     matthew          loar          seattle    WA   \n",
       "322        hugh          nile         calcutta    OH   \n",
       "324      robert         beggs         woodland    CA   \n",
       "355     timothy      hathaway       alexandria    VA   \n",
       "370       elkin        sierra         leesburg    VA   \n",
       "371       jerry         dupuy          houston    TX   \n",
       "942   stanislav       mazhara    castro valley    CA   \n",
       "958         hlb   engineering       pittsburgh    PA   \n",
       "976    jonathan         byers          atlanta    GA   \n",
       "980     marylee    belleville    newton center    MA   \n",
       "987        robb       degreef          de pere    WI   \n",
       "998       clint         berry            sandy    UT   \n",
       "1000       nick        bright           malibu    CA   \n",
       "\n",
       "                         Occupation  TotalAllSubmission     Candidate  \n",
       "5                          engineer                40.0  buddy roemer  \n",
       "11                         engineer                25.0  buddy roemer  \n",
       "13                         engineer               100.0  buddy roemer  \n",
       "15                         engineer               100.0  buddy roemer  \n",
       "16                         engineer               100.0  buddy roemer  \n",
       "21                         engineer               100.0  buddy roemer  \n",
       "36                         engineer                 5.0  buddy roemer  \n",
       "37                         engineer                 5.0  buddy roemer  \n",
       "42                         engineer                50.0  buddy roemer  \n",
       "89                         engineer               100.0  buddy roemer  \n",
       "102                        engineer                25.0  buddy roemer  \n",
       "108                        engineer                25.0  buddy roemer  \n",
       "193                        engineer                20.0  buddy roemer  \n",
       "202                        engineer                25.0  buddy roemer  \n",
       "205                        engineer               100.0  buddy roemer  \n",
       "211                        engineer                25.0  buddy roemer  \n",
       "214                        engineer               100.0  buddy roemer  \n",
       "227                        engineer                10.0  buddy roemer  \n",
       "230                        engineer               120.0  buddy roemer  \n",
       "238                        engineer               100.0  buddy roemer  \n",
       "244                        engineer                25.0  buddy roemer  \n",
       "254                        engineer               100.0  buddy roemer  \n",
       "263                        engineer                50.0  buddy roemer  \n",
       "287                        engineer                25.0  buddy roemer  \n",
       "303                        engineer               100.0  buddy roemer  \n",
       "340                        engineer               100.0  buddy roemer  \n",
       "344                        engineer                50.0  buddy roemer  \n",
       "358                        engineer               100.0  buddy roemer  \n",
       "361                        engineer               100.0  buddy roemer  \n",
       "367                        engineer               100.0  buddy roemer  \n",
       "...                             ...                 ...           ...  \n",
       "26                         engineer                10.0  buddy roemer  \n",
       "29                         engineer               100.0  buddy roemer  \n",
       "33                         engineer               100.0  buddy roemer  \n",
       "61                         engineer               100.0  buddy roemer  \n",
       "69                         engineer                25.0  buddy roemer  \n",
       "89                         engineer                25.0  buddy roemer  \n",
       "91    sr. engineer/business analyst                25.0  buddy roemer  \n",
       "114                        engineer                 5.0  buddy roemer  \n",
       "116                        engineer               100.0  buddy roemer  \n",
       "128                        engineer                50.0  buddy roemer  \n",
       "165                        engineer                25.0  buddy roemer  \n",
       "174                        engineer               100.0  buddy roemer  \n",
       "198                        engineer                50.0  buddy roemer  \n",
       "246                        engineer                25.0  buddy roemer  \n",
       "250                        engineer               100.0  buddy roemer  \n",
       "257                        engineer               100.0  buddy roemer  \n",
       "260                        engineer               100.0  buddy roemer  \n",
       "298                        engineer               100.0  buddy roemer  \n",
       "322                        engineer               100.0  buddy roemer  \n",
       "324                        engineer               100.0  buddy roemer  \n",
       "355                        engineer                 1.0  buddy roemer  \n",
       "370                        engineer                25.0  buddy roemer  \n",
       "371                        engineer                25.0  buddy roemer  \n",
       "942                        engineer                10.0  buddy roemer  \n",
       "958                        engineer                10.0  buddy roemer  \n",
       "976                        engineer               100.0  buddy roemer  \n",
       "980                        engineer               100.0  buddy roemer  \n",
       "987                        engineer               100.0  buddy roemer  \n",
       "998                        engineer                25.0  buddy roemer  \n",
       "1000                       engineer               100.0  buddy roemer  \n",
       "\n",
       "[283 rows x 7 columns]"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grouping together all the people who are Engineer\n",
    "dfr['Occupation'].replace('(.*engineer.*)','engineer',regex=True, inplace = True)\n",
    "dfr['Occupation'] = dfr['Occupation'].replace(to_replace=['engoneer','web developer','engoneer','web designer','programmer','software eng.','computer engineer','statistical computer engineer'], value='engineer', regex=True)\n",
    "dfr[dfr['Occupation'].str.match(r'(.*engineer.*)')==True]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [],
   "source": [
    "# grouping together people of a perticular category of occupation\n",
    "dfr['Occupation'].replace('(.*student.*)','student',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*manager.*)','manager',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*analyst.*)','analyst',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*mechanic.*)','mechanic',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*teacher.*)','teacher',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*professor.*)','professor',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*self.*)','self employed',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*intern.*)','intern',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*doctor.*)','doctor',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*nurse.*)','nurse',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*writer.*)','writer',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*retired.*)','retired',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*software.*)','it',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*information technology.*)','it',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*invest.*)','investment',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*machinist.*)','mechanic',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*technician.*)','technician',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*sales.*)','sales',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*worker.*)','worker',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*trainer.*)','trainer',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*estate.*)','real estate',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*educator.*)','educator',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*instructor.*)','instructor',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*it.*)','it',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*law.*)','law',regex=True, inplace = True)\n",
    "dfr['Occupation'].replace('(.*attorney.*)','law',regex=True, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1158"
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Listing the number of unique occupations after grouping the major ones\n",
    "dfr.Occupation.nunique(dropna = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>kristie</td>\n",
       "      <td>donnellan</td>\n",
       "      <td>boston</td>\n",
       "      <td>MA</td>\n",
       "      <td>healthcare technologist</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>clint</td>\n",
       "      <td>berry</td>\n",
       "      <td>sandy</td>\n",
       "      <td>UT</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>erik</td>\n",
       "      <td>meyers</td>\n",
       "      <td>minneapolis</td>\n",
       "      <td>MN</td>\n",
       "      <td>analyst</td>\n",
       "      <td>10.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>nick</td>\n",
       "      <td>bright</td>\n",
       "      <td>malibu</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>marita</td>\n",
       "      <td>gowin</td>\n",
       "      <td>troutdale</td>\n",
       "      <td>OR</td>\n",
       "      <td>retired</td>\n",
       "      <td>80.0</td>\n",
       "      <td>buddy roemer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name         City State               Occupation  \\\n",
       "997     kristie  donnellan       boston    MA  healthcare technologist   \n",
       "998       clint      berry        sandy    UT                 engineer   \n",
       "999        erik     meyers  minneapolis    MN                  analyst   \n",
       "1000       nick     bright       malibu    CA                 engineer   \n",
       "1001     marita      gowin    troutdale    OR                  retired   \n",
       "\n",
       "      TotalAllSubmission     Candidate  \n",
       "997                100.0  buddy roemer  \n",
       "998                 25.0  buddy roemer  \n",
       "999                 10.0  buddy roemer  \n",
       "1000               100.0  buddy roemer  \n",
       "1001                80.0  buddy roemer  "
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying the data set\n",
    "dfr.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Kristie</td>\n",
       "      <td>Donnellan</td>\n",
       "      <td>Boston</td>\n",
       "      <td>MA</td>\n",
       "      <td>Healthcare Technologist</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Clint</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Sandy</td>\n",
       "      <td>UT</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Erik</td>\n",
       "      <td>Meyers</td>\n",
       "      <td>Minneapolis</td>\n",
       "      <td>MN</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>Nick</td>\n",
       "      <td>Bright</td>\n",
       "      <td>Malibu</td>\n",
       "      <td>CA</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>Marita</td>\n",
       "      <td>Gowin</td>\n",
       "      <td>Troutdale</td>\n",
       "      <td>OR</td>\n",
       "      <td>Retired</td>\n",
       "      <td>80.0</td>\n",
       "      <td>Buddy Roemer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name         City State               Occupation  \\\n",
       "997     Kristie  Donnellan       Boston    MA  Healthcare Technologist   \n",
       "998       Clint      Berry        Sandy    UT                 Engineer   \n",
       "999        Erik     Meyers  Minneapolis    MN                  Analyst   \n",
       "1000       Nick     Bright       Malibu    CA                 Engineer   \n",
       "1001     Marita      Gowin    Troutdale    OR                  Retired   \n",
       "\n",
       "      TotalAllSubmission     Candidate  \n",
       "997                100.0  Buddy Roemer  \n",
       "998                 25.0  Buddy Roemer  \n",
       "999                 10.0  Buddy Roemer  \n",
       "1000               100.0  Buddy Roemer  \n",
       "1001                80.0  Buddy Roemer  "
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting the data to camel casing\n",
    "dfr['First Name']= dfr['First Name'].str.title()\n",
    "dfr['Last Name']= dfr['Last Name'].str.title()\n",
    "dfr['City']= dfr['City'].str.title()\n",
    "dfr['Occupation']= dfr['Occupation'].str.title()\n",
    "dfr['Candidate']= dfr['Candidate'].str.title()\n",
    "totalRoemerCampaign = pd.DataFrame(dfr)\n",
    "totalRoemerCampaign.tail()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         Candidate     Occupation  TotalAllSubmission\n",
      "953   Buddy Roemer        Retired            48528.00\n",
      "361   Buddy Roemer       Engineer            18699.23\n",
      "571   Buddy Roemer             It            14647.40\n",
      "591   Buddy Roemer            Law            13476.12\n",
      "638   Buddy Roemer        Manager            12900.00\n",
      "978   Buddy Roemer  Self Employed             8969.12\n",
      "967   Buddy Roemer          Sales             8737.00\n",
      "1040  Buddy Roemer        Student             7119.34\n",
      "1062  Buddy Roemer        Teacher             7028.24\n",
      "805   Buddy Roemer      Physician             5520.00\n"
     ]
    }
   ],
   "source": [
    "# Grouping the data set by ['Candidate', 'Occupation'] and Sorting tit by descending order of total contribution\n",
    "grouping = totalRoemerCampaign.groupby(['Candidate', 'Occupation'], as_index=False).TotalAllSubmission.sum().sort_values(['Candidate', 'Occupation'])\n",
    "occupation_contribution_romer = grouping.sort_values('TotalAllSubmission',ascending=False)\n",
    "\n",
    "print(occupation_contribution_romer.head(n=10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Prefix</th>\n",
       "      <th>FirstName</th>\n",
       "      <th>Unnamed: 2</th>\n",
       "      <th>LastName</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Address1</th>\n",
       "      <th>Address2</th>\n",
       "      <th>Address3</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Employer</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Deposited</th>\n",
       "      <th>AmountSubmitted for Matching</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>TotalAllSubmissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ahkivgak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1664 Juneau apt D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>99501</td>\n",
       "      <td>ARO</td>\n",
       "      <td>Spill technician</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2012-06-28</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Sam</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Evans</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2533 LA Honda Dr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>99517</td>\n",
       "      <td>Department of Defense</td>\n",
       "      <td>US Air Force</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2012-08-02</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>robert</td>\n",
       "      <td>NaN</td>\n",
       "      <td>kupka</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13660 Fire Creek Trail Trl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Eagle River</td>\n",
       "      <td>AK</td>\n",
       "      <td>99577</td>\n",
       "      <td>gov employee</td>\n",
       "      <td>webmaster</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2012-06-28</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>tyler</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mestas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PO Box 84253</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fairbanks</td>\n",
       "      <td>AK</td>\n",
       "      <td>99708</td>\n",
       "      <td>AT&amp;T</td>\n",
       "      <td>salesman</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2012-07-06</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Gary</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Miller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20135 Cohen Dr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Juneau</td>\n",
       "      <td>AK</td>\n",
       "      <td>99801-8211</td>\n",
       "      <td>Retired</td>\n",
       "      <td>Retired</td>\n",
       "      <td>100.0</td>\n",
       "      <td>2012-07-26</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Prefix   FirstName Unnamed: 2  LastName Suffix                    Address1  \\\n",
       "0    NaN  Elizabeth         NaN  Ahkivgak    NaN           1664 Juneau apt D   \n",
       "1    NaN         Sam        NaN     Evans    NaN            2533 LA Honda Dr   \n",
       "2    NaN      robert        NaN     kupka    NaN  13660 Fire Creek Trail Trl   \n",
       "3    NaN       tyler        NaN    Mestas    NaN                PO Box 84253   \n",
       "4    NaN        Gary        NaN    Miller    NaN              20135 Cohen Dr   \n",
       "\n",
       "  Address2 Address3         City State         Zip               Employer  \\\n",
       "0      NaN      NaN    Anchorage    AK       99501                    ARO   \n",
       "1      NaN      NaN    Anchorage    AK       99517  Department of Defense   \n",
       "2      NaN      NaN  Eagle River    AK       99577           gov employee   \n",
       "3      NaN      NaN    fairbanks    AK       99708                   AT&T   \n",
       "4      NaN      NaN       Juneau    AK  99801-8211                Retired   \n",
       "\n",
       "         Occupation    Amount    Deposited  \\\n",
       "0  Spill technician       250.0 2012-06-28   \n",
       "1      US Air Force        20.0 2012-08-02   \n",
       "2         webmaster        10.0 2012-06-28   \n",
       "3          salesman        75.0 2012-07-06   \n",
       "4           Retired       100.0 2012-07-26   \n",
       "\n",
       "      AmountSubmitted for Matching        TotalThisSubmission     \\\n",
       "0                               250.0                      250.0   \n",
       "1                                20.0                       20.0   \n",
       "2                                10.0                       10.0   \n",
       "3                                75.0                       75.0   \n",
       "4                               100.0                      100.0   \n",
       "\n",
       "      TotalAllSubmissions     \n",
       "0                      250.0  \n",
       "1                       20.0  \n",
       "2                       10.0  \n",
       "3                       75.0  \n",
       "4                      100.0  "
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Itreating over SteinSubmission1.xlsx\n",
    "\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='SteinSubmission1.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Stein1 = pd.read_excel(body)\n",
    "Stein1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Prefix</th>\n",
       "      <th>FirstName</th>\n",
       "      <th>LastName</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Address1</th>\n",
       "      <th>Address2</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Employer</th>\n",
       "      <th>...</th>\n",
       "      <th>DonationID</th>\n",
       "      <th>DonationDate</th>\n",
       "      <th>PaymentType</th>\n",
       "      <th>BatchID</th>\n",
       "      <th>BatchNumber</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Deposited</th>\n",
       "      <th>AmountSubmitted for Matching</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>TotalAllSubmissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Mary</td>\n",
       "      <td>Abramson</td>\n",
       "      <td>NaN</td>\n",
       "      <td>303 1st St S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yelm</td>\n",
       "      <td>WA</td>\n",
       "      <td>98597</td>\n",
       "      <td>Retired</td>\n",
       "      <td>...</td>\n",
       "      <td>90047</td>\n",
       "      <td>2012-09-04 19:55:06</td>\n",
       "      <td>Credit Card</td>\n",
       "      <td>20120906</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaT</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Linda</td>\n",
       "      <td>Adams</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11024 Balboa Blvd</td>\n",
       "      <td>746</td>\n",
       "      <td>Granada Hills</td>\n",
       "      <td>CA</td>\n",
       "      <td>91344</td>\n",
       "      <td>The Courier Connection</td>\n",
       "      <td>...</td>\n",
       "      <td>94143</td>\n",
       "      <td>2012-09-11 09:05:05</td>\n",
       "      <td>Credit Card</td>\n",
       "      <td>20120919</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaT</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Howard T</td>\n",
       "      <td>Adcock</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3403 Galesburg Dr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Austin</td>\n",
       "      <td>TX</td>\n",
       "      <td>78745-5819</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>87807</td>\n",
       "      <td>2012-08-31 19:30:15</td>\n",
       "      <td>Credit Card</td>\n",
       "      <td>20120904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200.0</td>\n",
       "      <td>NaT</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Steven</td>\n",
       "      <td>Adger</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3132 N Olsen Ave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tucson</td>\n",
       "      <td>AZ</td>\n",
       "      <td>85719</td>\n",
       "      <td>TEAM Resources</td>\n",
       "      <td>...</td>\n",
       "      <td>90070</td>\n",
       "      <td>2012-09-04 20:45:05</td>\n",
       "      <td>Credit Card</td>\n",
       "      <td>20120906</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.0</td>\n",
       "      <td>NaT</td>\n",
       "      <td>245.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Ronald</td>\n",
       "      <td>Adkins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>718 26th St SE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Cedar Rapids</td>\n",
       "      <td>IA</td>\n",
       "      <td>52403</td>\n",
       "      <td>Barnes &amp; Noble</td>\n",
       "      <td>...</td>\n",
       "      <td>90338</td>\n",
       "      <td>2012-09-05 03:50:06</td>\n",
       "      <td>Credit Card</td>\n",
       "      <td>20120906</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaT</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Prefix FirstName  LastName  Suffix           Address1 Address2  \\\n",
       "0     NaN      Mary  Abramson     NaN       303 1st St S      NaN   \n",
       "1     NaN     Linda     Adams     NaN  11024 Balboa Blvd      746   \n",
       "2     NaN  Howard T    Adcock     NaN  3403 Galesburg Dr      NaN   \n",
       "3     NaN    Steven     Adger     NaN   3132 N Olsen Ave      NaN   \n",
       "4     NaN    Ronald    Adkins     NaN     718 26th St SE      NaN   \n",
       "\n",
       "            City State         Zip                Employer  ... DonationID  \\\n",
       "0           Yelm    WA       98597                 Retired  ...      90047   \n",
       "1  Granada Hills    CA       91344  The Courier Connection  ...      94143   \n",
       "2         Austin    TX  78745-5819                     NaN  ...      87807   \n",
       "3         Tucson    AZ       85719          TEAM Resources  ...      90070   \n",
       "4   Cedar Rapids    IA       52403          Barnes & Noble  ...      90338   \n",
       "\n",
       "         DonationDate  PaymentType   BatchID  BatchNumber    Amount    \\\n",
       "0 2012-09-04 19:55:06  Credit Card  20120906          NaN       100.0   \n",
       "1 2012-09-11 09:05:05  Credit Card  20120919          NaN        20.0   \n",
       "2 2012-08-31 19:30:15  Credit Card  20120904          NaN       200.0   \n",
       "3 2012-09-04 20:45:05  Credit Card  20120906          NaN       250.0   \n",
       "4 2012-09-05 03:50:06  Credit Card  20120906          NaN       100.0   \n",
       "\n",
       "   Deposited    AmountSubmitted for Matching        TotalThisSubmission     \\\n",
       "0        NaT                              100.0                      100.0   \n",
       "1        NaT                               20.0                       20.0   \n",
       "2        NaT                              200.0                      200.0   \n",
       "3        NaT                              245.0                      245.0   \n",
       "4        NaT                              100.0                      100.0   \n",
       "\n",
       "      TotalAllSubmissions     \n",
       "0                      100.0  \n",
       "1                       20.0  \n",
       "2                      200.0  \n",
       "3                      250.0  \n",
       "4                      100.0  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Itreating over SteinSubmission2.xlsx\n",
    "\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='SteinSubmission2.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Stein2 = pd.read_excel(body)\n",
    "Stein2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Prefix</th>\n",
       "      <th>FirstName</th>\n",
       "      <th>MiddleName</th>\n",
       "      <th>LastName</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Address1</th>\n",
       "      <th>Address2</th>\n",
       "      <th>Address3</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Zip</th>\n",
       "      <th>Employer</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>DonationDate</th>\n",
       "      <th>Amount</th>\n",
       "      <th>AmountSubmitted for Matching</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>Total All Submissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Christopher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kunzler</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2816 Telequana Drive A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>99517</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-10-28 22:54:00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Victoria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Leeder</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2521 Outside Blvd</td>\n",
       "      <td>Apt. 3106</td>\n",
       "      <td>NaN</td>\n",
       "      <td>North Pole</td>\n",
       "      <td>AK</td>\n",
       "      <td>99705</td>\n",
       "      <td>US Air Force</td>\n",
       "      <td>Graphic Design</td>\n",
       "      <td>2012-10-23 01:27:00</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Peter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montesano</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4927 Marion Ave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>99508</td>\n",
       "      <td>MPFC AK</td>\n",
       "      <td>MD</td>\n",
       "      <td>2012-10-24 02:17:00</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Peter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montesano</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4927 Marion Ave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>99508</td>\n",
       "      <td>MPFC AK</td>\n",
       "      <td>MD</td>\n",
       "      <td>2012-10-26 02:32:00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Gregory</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nothstine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5304 Cope St</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>99518</td>\n",
       "      <td>ANTHC</td>\n",
       "      <td>Program Manager</td>\n",
       "      <td>2012-10-22 19:00:00</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Prefix    FirstName  MiddleName   LastName  Suffix                Address1  \\\n",
       "0     NaN  Christopher         NaN    Kunzler     NaN  2816 Telequana Drive A   \n",
       "1     NaN     Victoria         NaN     Leeder     NaN       2521 Outside Blvd   \n",
       "2     NaN        Peter         NaN  Montesano     NaN         4927 Marion Ave   \n",
       "3     NaN        Peter         NaN  Montesano     NaN         4927 Marion Ave   \n",
       "4     NaN      Gregory         NaN  Nothstine     NaN            5304 Cope St   \n",
       "\n",
       "    Address2 Address3        City State    Zip      Employer       Occupation  \\\n",
       "0        NaN      NaN   Anchorage    AK  99517           NaN              NaN   \n",
       "1  Apt. 3106      NaN  North Pole    AK  99705  US Air Force   Graphic Design   \n",
       "2        NaN      NaN   Anchorage    AK  99508       MPFC AK               MD   \n",
       "3        NaN      NaN   Anchorage    AK  99508       MPFC AK               MD   \n",
       "4          4      NaN   Anchorage    AK  99518         ANTHC  Program Manager   \n",
       "\n",
       "         DonationDate    Amount       AmountSubmitted for Matching     \\\n",
       "0 2012-10-28 22:54:00         5.0                                 5.0   \n",
       "1 2012-10-23 01:27:00        25.0                                25.0   \n",
       "2 2012-10-24 02:17:00       250.0                               250.0   \n",
       "3 2012-10-26 02:32:00       100.0                                 0.0   \n",
       "4 2012-10-22 19:00:00        25.0                                25.0   \n",
       "\n",
       "      TotalThisSubmission     Total All Submissions  \n",
       "0                        5.0                    5.0  \n",
       "1                       25.0                   25.0  \n",
       "2                      250.0                  250.0  \n",
       "3                      250.0                  250.0  \n",
       "4                       25.0                   25.0  "
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Itreating over SteinSubmission3.xlsx\n",
    "\n",
    "body = client_6572d5467f1b4eb8ba41678aec743684.get_object(Bucket='testproject-donotdelete-pr-hssuodjsaio3tt',Key='SteinSubmission3.xlsx')['Body']\n",
    "# add missing __iter__ method, so pandas accepts body as file-like object\n",
    "if not hasattr(body, \"__iter__\"): body.__iter__ = types.MethodType( __iter__, body )\n",
    "\n",
    "Stein3 = pd.read_excel(body)\n",
    "Stein3.rename(columns={'Total All Submission':'TotalAllSubmissions'}, inplace = True)\n",
    "Stein3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AmountSubmitted for Matching</th>\n",
       "      <th>TotalAllSubmissions</th>\n",
       "      <th>TotalThisSubmission</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Address1</th>\n",
       "      <th>Address2</th>\n",
       "      <th>Address3</th>\n",
       "      <th>BatchID</th>\n",
       "      <th>BatchNumber</th>\n",
       "      <th>City</th>\n",
       "      <th>...</th>\n",
       "      <th>LastName</th>\n",
       "      <th>MiddleName</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>PaymentType</th>\n",
       "      <th>Prefix</th>\n",
       "      <th>State</th>\n",
       "      <th>Suffix</th>\n",
       "      <th>Total All Submissions</th>\n",
       "      <th>Unnamed: 2</th>\n",
       "      <th>Zip</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>1664 Juneau apt D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>...</td>\n",
       "      <td>Ahkivgak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Spill technician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2533 LA Honda Dr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>...</td>\n",
       "      <td>Evans</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US Air Force</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13660 Fire Creek Trail Trl</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Eagle River</td>\n",
       "      <td>...</td>\n",
       "      <td>kupka</td>\n",
       "      <td>NaN</td>\n",
       "      <td>webmaster</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>PO Box 84253</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fairbanks</td>\n",
       "      <td>...</td>\n",
       "      <td>Mestas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>salesman</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>20135 Cohen Dr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Juneau</td>\n",
       "      <td>...</td>\n",
       "      <td>Miller</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Retired</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99801-8211</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      AmountSubmitted for Matching        TotalAllSubmissions     \\\n",
       "0                               250.0                      250.0   \n",
       "1                                20.0                       20.0   \n",
       "2                                10.0                       10.0   \n",
       "3                                75.0                       75.0   \n",
       "4                               100.0                      100.0   \n",
       "\n",
       "      TotalThisSubmission       Amount                      Address1 Address2  \\\n",
       "0                      250.0       250.0           1664 Juneau apt D      NaN   \n",
       "1                       20.0        20.0            2533 LA Honda Dr      NaN   \n",
       "2                       10.0        10.0  13660 Fire Creek Trail Trl      NaN   \n",
       "3                       75.0        75.0                PO Box 84253      NaN   \n",
       "4                      100.0       100.0              20135 Cohen Dr      NaN   \n",
       "\n",
       "  Address3  BatchID  BatchNumber         City  ...  LastName MiddleName  \\\n",
       "0      NaN      NaN          NaN    Anchorage  ...  Ahkivgak        NaN   \n",
       "1      NaN      NaN          NaN    Anchorage  ...     Evans        NaN   \n",
       "2      NaN      NaN          NaN  Eagle River  ...     kupka        NaN   \n",
       "3      NaN      NaN          NaN    fairbanks  ...    Mestas        NaN   \n",
       "4      NaN      NaN          NaN       Juneau  ...    Miller        NaN   \n",
       "\n",
       "         Occupation PaymentType Prefix State  Suffix Total All Submissions  \\\n",
       "0  Spill technician         NaN    NaN    AK     NaN                   NaN   \n",
       "1      US Air Force         NaN    NaN    AK     NaN                   NaN   \n",
       "2         webmaster         NaN    NaN    AK     NaN                   NaN   \n",
       "3          salesman         NaN    NaN    AK     NaN                   NaN   \n",
       "4           Retired         NaN    NaN    AK     NaN                   NaN   \n",
       "\n",
       "  Unnamed: 2         Zip  \n",
       "0        NaN       99501  \n",
       "1        NaN       99517  \n",
       "2        NaN       99577  \n",
       "3        NaN       99708  \n",
       "4        NaN  99801-8211  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging all the files containing Stein's campaign data\n",
    "\n",
    "scampaign = pd.DataFrame()\n",
    "scampaign=scampaign.append(Stein1)\n",
    "scampaign=scampaign.append(Stein2)\n",
    "scampaign=scampaign.append(Stein3)\n",
    "scampaign.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FirstName</th>\n",
       "      <th>LastName</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Ahkivgak</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>Spill technician</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sam</td>\n",
       "      <td>Evans</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>US Air Force</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>robert</td>\n",
       "      <td>kupka</td>\n",
       "      <td>Eagle River</td>\n",
       "      <td>AK</td>\n",
       "      <td>webmaster</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tyler</td>\n",
       "      <td>Mestas</td>\n",
       "      <td>fairbanks</td>\n",
       "      <td>AK</td>\n",
       "      <td>salesman</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gary</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Juneau</td>\n",
       "      <td>AK</td>\n",
       "      <td>Retired</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    FirstName  LastName         City State        Occupation  \\\n",
       "0  Elizabeth   Ahkivgak    Anchorage    AK  Spill technician   \n",
       "1         Sam     Evans    Anchorage    AK      US Air Force   \n",
       "2      robert     kupka  Eagle River    AK         webmaster   \n",
       "3       tyler    Mestas    fairbanks    AK          salesman   \n",
       "4        Gary    Miller       Juneau    AK           Retired   \n",
       "\n",
       "   TotalAllSubmissions  \n",
       "0                250.0  \n",
       "1                 20.0  \n",
       "2                 10.0  \n",
       "3                 75.0  \n",
       "4                100.0  "
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selecting only the columns required for reporting.\n",
    "\n",
    "scampaign.rename(columns=lambda x: x.strip(), inplace=True)\n",
    "Stein_campaign=scampaign[['FirstName', 'LastName', 'City', 'State', 'Occupation', 'TotalAllSubmissions']].copy()\n",
    "Stein_campaign.head()\n",
    "#print(scampaign.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FirstName</th>\n",
       "      <th>LastName</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmissions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Ahkivgak</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>Spill technician</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sam</td>\n",
       "      <td>Evans</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>US Air Force</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>robert</td>\n",
       "      <td>kupka</td>\n",
       "      <td>Eagle River</td>\n",
       "      <td>AK</td>\n",
       "      <td>webmaster</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tyler</td>\n",
       "      <td>Mestas</td>\n",
       "      <td>fairbanks</td>\n",
       "      <td>AK</td>\n",
       "      <td>salesman</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gary</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Juneau</td>\n",
       "      <td>AK</td>\n",
       "      <td>Retired</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    FirstName  LastName         City State        Occupation  \\\n",
       "0  Elizabeth   Ahkivgak    Anchorage    AK  Spill technician   \n",
       "1         Sam     Evans    Anchorage    AK      US Air Force   \n",
       "2      robert     kupka  Eagle River    AK         webmaster   \n",
       "3       tyler    Mestas    fairbanks    AK          salesman   \n",
       "4        Gary    Miller       Juneau    AK           Retired   \n",
       "\n",
       "   TotalAllSubmissions  \n",
       "0                250.0  \n",
       "1                 20.0  \n",
       "2                 10.0  \n",
       "3                 75.0  \n",
       "4                100.0  "
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cleaning data by dropping multiple rows containing data of the same person.\n",
    "\n",
    "sc=Stein_campaign.drop_duplicates(subset =[\"FirstName\", \"LastName\"],\n",
    "                     keep = 'first') \n",
    "sc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>Marie</td>\n",
       "      <td>Stolzenburg</td>\n",
       "      <td>Madison</td>\n",
       "      <td>WI</td>\n",
       "      <td>Graduate student and Instructor</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Wessel</td>\n",
       "      <td>Wauwatosa</td>\n",
       "      <td>WI</td>\n",
       "      <td>electrical designer</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>Kimberly</td>\n",
       "      <td>Wogahn</td>\n",
       "      <td>Eau Claire</td>\n",
       "      <td>WI</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Beverly</td>\n",
       "      <td>Cooper</td>\n",
       "      <td>St Albans</td>\n",
       "      <td>WV</td>\n",
       "      <td>Instructor</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>Shain</td>\n",
       "      <td>McVay</td>\n",
       "      <td>Casper</td>\n",
       "      <td>WY</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name    Last Name        City State  \\\n",
       "987      Marie  Stolzenburg     Madison    WI   \n",
       "990     Robert       Wessel   Wauwatosa    WI   \n",
       "991   Kimberly       Wogahn  Eau Claire    WI   \n",
       "992    Beverly       Cooper   St Albans    WV   \n",
       "993      Shain        McVay      Casper    WY   \n",
       "\n",
       "                          Occupation  TotalAllSubmission  \n",
       "987  Graduate student and Instructor                 NaN  \n",
       "990              electrical designer                 NaN  \n",
       "991                          Student                 NaN  \n",
       "992                       Instructor                 NaN  \n",
       "993                          Student                 NaN  "
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cleaning data by renaming the columns uniformaly across all the data sets.\n",
    "sc.rename(columns={'FirstName': 'First Name', 'LastName':'Last Name','TotalAllSubmissions':'TotalAllSubmission'}, inplace = True)\n",
    "sc.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>Marie</td>\n",
       "      <td>Stolzenburg</td>\n",
       "      <td>Madison</td>\n",
       "      <td>WI</td>\n",
       "      <td>Graduate student and Instructor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Wessel</td>\n",
       "      <td>Wauwatosa</td>\n",
       "      <td>WI</td>\n",
       "      <td>electrical designer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>Kimberly</td>\n",
       "      <td>Wogahn</td>\n",
       "      <td>Eau Claire</td>\n",
       "      <td>WI</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>Beverly</td>\n",
       "      <td>Cooper</td>\n",
       "      <td>St Albans</td>\n",
       "      <td>WV</td>\n",
       "      <td>Instructor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>Shain</td>\n",
       "      <td>McVay</td>\n",
       "      <td>Casper</td>\n",
       "      <td>WY</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    First Name    Last Name        City State  \\\n",
       "987      Marie  Stolzenburg     Madison    WI   \n",
       "990     Robert       Wessel   Wauwatosa    WI   \n",
       "991   Kimberly       Wogahn  Eau Claire    WI   \n",
       "992    Beverly       Cooper   St Albans    WV   \n",
       "993      Shain        McVay      Casper    WY   \n",
       "\n",
       "                          Occupation  TotalAllSubmission   Candidate  \n",
       "987  Graduate student and Instructor                 NaN  Jill Stein  \n",
       "990              electrical designer                 NaN  Jill Stein  \n",
       "991                          Student                 NaN  Jill Stein  \n",
       "992                       Instructor                 NaN  Jill Stein  \n",
       "993                          Student                 NaN  Jill Stein  "
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cleaning data by Adding a column with the name of the candidate.\n",
    "sc.insert(6, 'Candidate', 'Jill Stein')\n",
    "sc.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Ahkivgak</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>Spill technician</td>\n",
       "      <td>250.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sam</td>\n",
       "      <td>Evans</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>US Air Force</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>robert</td>\n",
       "      <td>kupka</td>\n",
       "      <td>Eagle River</td>\n",
       "      <td>AK</td>\n",
       "      <td>webmaster</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tyler</td>\n",
       "      <td>Mestas</td>\n",
       "      <td>fairbanks</td>\n",
       "      <td>AK</td>\n",
       "      <td>salesman</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gary</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Juneau</td>\n",
       "      <td>AK</td>\n",
       "      <td>Retired</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   First Name Last Name         City State        Occupation  \\\n",
       "0  Elizabeth   Ahkivgak    Anchorage    AK  Spill technician   \n",
       "1         Sam     Evans    Anchorage    AK      US Air Force   \n",
       "2      robert     kupka  Eagle River    AK         webmaster   \n",
       "3       tyler    Mestas    fairbanks    AK          salesman   \n",
       "4        Gary    Miller       Juneau    AK           Retired   \n",
       "\n",
       "   TotalAllSubmission   Candidate  \n",
       "0               250.0  Jill Stein  \n",
       "1                20.0  Jill Stein  \n",
       "2                10.0  Jill Stein  \n",
       "3                75.0  Jill Stein  \n",
       "4               100.0  Jill Stein  "
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging the individual campaign detains into one single data file.\n",
    "totalSteinCampaign = pd.DataFrame()\n",
    "totalSteinCampaign=totalSteinCampaign.append(sc)\n",
    "totalSteinCampaign.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3935, 7)"
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# droping columns having null values and finding the size of the data set\n",
    "totalSteinCampaign = totalSteinCampaign.dropna()\n",
    "totalSteinCampaign.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Spill technician', 'US Air Force', 'webmaster', ..., 'Ironworker',\n",
       "       'Licensed Massage Therapist', 'Senior UI Developer'], dtype=object)"
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Listing all the unique occupations\n",
    "dfs = pd.DataFrame(totalSteinCampaign)\n",
    "dfs.tail()\n",
    "dfs.Occupation.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1514</th>\n",
       "      <td>edward</td>\n",
       "      <td>zimmer</td>\n",
       "      <td>ordway</td>\n",
       "      <td>CO</td>\n",
       "      <td>ironworker</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1515</th>\n",
       "      <td>neil</td>\n",
       "      <td>zimmerman</td>\n",
       "      <td>great neck</td>\n",
       "      <td>NY</td>\n",
       "      <td>astronomer</td>\n",
       "      <td>75.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1516</th>\n",
       "      <td>anjani</td>\n",
       "      <td>ziznewski</td>\n",
       "      <td>tesuque</td>\n",
       "      <td>NM</td>\n",
       "      <td>licensed massage therapist</td>\n",
       "      <td>20.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1517</th>\n",
       "      <td>stephen</td>\n",
       "      <td>zorn</td>\n",
       "      <td>new york</td>\n",
       "      <td>NY</td>\n",
       "      <td>lawyer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1519</th>\n",
       "      <td>david</td>\n",
       "      <td>zuch</td>\n",
       "      <td>san francisco</td>\n",
       "      <td>CA</td>\n",
       "      <td>senior ui developer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name           City State                  Occupation  \\\n",
       "1514     edward     zimmer         ordway    CO                  ironworker   \n",
       "1515       neil  zimmerman     great neck    NY                  astronomer   \n",
       "1516     anjani  ziznewski        tesuque    NM  licensed massage therapist   \n",
       "1517    stephen       zorn       new york    NY                      lawyer   \n",
       "1519      david       zuch  san francisco    CA         senior ui developer   \n",
       "\n",
       "      TotalAllSubmission   Candidate  \n",
       "1514               100.0  jill stein  \n",
       "1515                75.0  jill stein  \n",
       "1516                20.0  jill stein  \n",
       "1517               100.0  jill stein  \n",
       "1519               100.0  jill stein  "
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting the data into lower case\n",
    "totalSteinCampaign['First Name']= totalSteinCampaign['First Name'].str.lower()\n",
    "totalSteinCampaign['Last Name']= totalSteinCampaign['Last Name'].str.lower()\n",
    "totalSteinCampaign['City']= totalSteinCampaign['City'].str.lower()\n",
    "totalSteinCampaign['Occupation']= totalSteinCampaign['Occupation'].str.lower()\n",
    "totalSteinCampaign['Candidate']= totalSteinCampaign['Candidate'].str.lower()\n",
    "dfs = pd.DataFrame(totalSteinCampaign)\n",
    "dfs.tail()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1742"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Listing the number of unique occupations\n",
    "\n",
    "dfs.Occupation.nunique(dropna = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>charles</td>\n",
       "      <td>bryant</td>\n",
       "      <td>hazel  green</td>\n",
       "      <td>AL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>brian</td>\n",
       "      <td>grimaldi</td>\n",
       "      <td>phoenix</td>\n",
       "      <td>AZ</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>carmen</td>\n",
       "      <td>knapp</td>\n",
       "      <td>benson</td>\n",
       "      <td>AZ</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>tracy</td>\n",
       "      <td>nasset</td>\n",
       "      <td>phoenix</td>\n",
       "      <td>AZ</td>\n",
       "      <td>engineer/analyst</td>\n",
       "      <td>75.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>ian</td>\n",
       "      <td>nelson</td>\n",
       "      <td>mesa</td>\n",
       "      <td>AZ</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>l</td>\n",
       "      <td>antkiewicz</td>\n",
       "      <td>los gatos</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>david</td>\n",
       "      <td>benham</td>\n",
       "      <td>mountain view</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>maia</td>\n",
       "      <td>bittner</td>\n",
       "      <td>san francisco</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>anirvan</td>\n",
       "      <td>chatterjee</td>\n",
       "      <td>berkeley</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer/analyst</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>john</td>\n",
       "      <td>choy</td>\n",
       "      <td>torrance</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>frisco</td>\n",
       "      <td>del rosario</td>\n",
       "      <td>san mateo</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>75.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>griff</td>\n",
       "      <td>derryberry</td>\n",
       "      <td>mountain view</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>michael</td>\n",
       "      <td>dorais</td>\n",
       "      <td>san diego</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>60.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>joseph</td>\n",
       "      <td>emenaker</td>\n",
       "      <td>san luis obispo</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>30.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>kevin</td>\n",
       "      <td>giberson</td>\n",
       "      <td>glendale</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>robin</td>\n",
       "      <td>gold</td>\n",
       "      <td>san francisco</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>gerald</td>\n",
       "      <td>gras</td>\n",
       "      <td>palo alto</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>200.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>dan</td>\n",
       "      <td>hitt</td>\n",
       "      <td>palo alto</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>24.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>rodney</td>\n",
       "      <td>holland</td>\n",
       "      <td>novato</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>lisa</td>\n",
       "      <td>kassner</td>\n",
       "      <td>la canada</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>sia</td>\n",
       "      <td>khosrovi</td>\n",
       "      <td>palo alto</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>mike</td>\n",
       "      <td>lockwood</td>\n",
       "      <td>los gatos</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>jason</td>\n",
       "      <td>loveman</td>\n",
       "      <td>san jose</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>40.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>robert</td>\n",
       "      <td>marsh</td>\n",
       "      <td>berkeley</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>karen</td>\n",
       "      <td>mcadams</td>\n",
       "      <td>east palo alto</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>keith</td>\n",
       "      <td>norman</td>\n",
       "      <td>mountain view</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>60.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>jane</td>\n",
       "      <td>rands</td>\n",
       "      <td>fullerton</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>doug</td>\n",
       "      <td>rees</td>\n",
       "      <td>berkeley</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer/publisher</td>\n",
       "      <td>25.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>partha</td>\n",
       "      <td>shakkottai</td>\n",
       "      <td>duarte</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>150.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>noah</td>\n",
       "      <td>silas</td>\n",
       "      <td>san francisco</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>wayne</td>\n",
       "      <td>gray</td>\n",
       "      <td>new hartford</td>\n",
       "      <td>NY</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>david</td>\n",
       "      <td>haldeman</td>\n",
       "      <td>staten island</td>\n",
       "      <td>NY</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>brad</td>\n",
       "      <td>heckman</td>\n",
       "      <td>walnut creek</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>jonathan</td>\n",
       "      <td>henshaw</td>\n",
       "      <td>brookline</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>manuel</td>\n",
       "      <td>hernandez</td>\n",
       "      <td>somerville</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>christopher</td>\n",
       "      <td>jewell</td>\n",
       "      <td>san rafael</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>jeremy</td>\n",
       "      <td>johnson</td>\n",
       "      <td>worcester</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>tuomas</td>\n",
       "      <td>kaikkonen</td>\n",
       "      <td>redmond</td>\n",
       "      <td>WA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>759</th>\n",
       "      <td>sarah</td>\n",
       "      <td>laing</td>\n",
       "      <td>olympia</td>\n",
       "      <td>WA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>20.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>jeff</td>\n",
       "      <td>markham</td>\n",
       "      <td>san jose</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>851</th>\n",
       "      <td>thomas</td>\n",
       "      <td>matthews</td>\n",
       "      <td>howell</td>\n",
       "      <td>NJ</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>james</td>\n",
       "      <td>mcclellan</td>\n",
       "      <td>cambridge</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>sean</td>\n",
       "      <td>mcgaffin</td>\n",
       "      <td>moncks corner</td>\n",
       "      <td>SC</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>922</th>\n",
       "      <td>william</td>\n",
       "      <td>mitrus</td>\n",
       "      <td>syracuse</td>\n",
       "      <td>NY</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>daniel</td>\n",
       "      <td>molloy</td>\n",
       "      <td>leesburg</td>\n",
       "      <td>VA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>943</th>\n",
       "      <td>evan</td>\n",
       "      <td>morris</td>\n",
       "      <td>chapel hill</td>\n",
       "      <td>NC</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>steven</td>\n",
       "      <td>norris</td>\n",
       "      <td>lakewood</td>\n",
       "      <td>OH</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1054</th>\n",
       "      <td>mark</td>\n",
       "      <td>phelan</td>\n",
       "      <td>brooklyn</td>\n",
       "      <td>NY</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1061</th>\n",
       "      <td>p. harrison</td>\n",
       "      <td>picot ii</td>\n",
       "      <td>haymarket</td>\n",
       "      <td>VA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>15.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1063</th>\n",
       "      <td>enrique</td>\n",
       "      <td>pineda</td>\n",
       "      <td>athens</td>\n",
       "      <td>GA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1070</th>\n",
       "      <td>sean</td>\n",
       "      <td>plaisted</td>\n",
       "      <td>benicia</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>25.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1093</th>\n",
       "      <td>brandon</td>\n",
       "      <td>prudent</td>\n",
       "      <td>auburn</td>\n",
       "      <td>WA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>john</td>\n",
       "      <td>prusinski</td>\n",
       "      <td>monterey</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>30.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1135</th>\n",
       "      <td>john</td>\n",
       "      <td>rice</td>\n",
       "      <td>waddy</td>\n",
       "      <td>KS</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1157</th>\n",
       "      <td>robert</td>\n",
       "      <td>roper</td>\n",
       "      <td>denver</td>\n",
       "      <td>CO</td>\n",
       "      <td>engineer</td>\n",
       "      <td>50.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1167</th>\n",
       "      <td>timothy</td>\n",
       "      <td>ruppert</td>\n",
       "      <td>new orleans</td>\n",
       "      <td>LA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>75.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1214</th>\n",
       "      <td>scott</td>\n",
       "      <td>settlemier</td>\n",
       "      <td>marlborough</td>\n",
       "      <td>MA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>35.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1239</th>\n",
       "      <td>douglas</td>\n",
       "      <td>simonson</td>\n",
       "      <td>clermont</td>\n",
       "      <td>FL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>20.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1356</th>\n",
       "      <td>michael</td>\n",
       "      <td>trank</td>\n",
       "      <td>pompano beach</td>\n",
       "      <td>FL</td>\n",
       "      <td>engineer</td>\n",
       "      <td>125.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397</th>\n",
       "      <td>richard</td>\n",
       "      <td>vezis</td>\n",
       "      <td>torrance</td>\n",
       "      <td>CA</td>\n",
       "      <td>engineer</td>\n",
       "      <td>250.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>202 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       First Name    Last Name             City State          Occupation  \\\n",
       "10        charles       bryant     hazel  green    AL            engineer   \n",
       "92          brian     grimaldi          phoenix    AZ            engineer   \n",
       "108        carmen        knapp           benson    AZ            engineer   \n",
       "137         tracy       nasset          phoenix    AZ    engineer/analyst   \n",
       "139           ian       nelson             mesa    AZ            engineer   \n",
       "197             l   antkiewicz        los gatos    CA            engineer   \n",
       "214         david       benham    mountain view    CA            engineer   \n",
       "217          maia      bittner    san francisco    CA            engineer   \n",
       "249       anirvan   chatterjee         berkeley    CA    engineer/analyst   \n",
       "257          john         choy         torrance    CA            engineer   \n",
       "290        frisco  del rosario        san mateo    CA            engineer   \n",
       "294         griff   derryberry    mountain view    CA            engineer   \n",
       "299       michael       dorais        san diego    CA            engineer   \n",
       "313        joseph     emenaker  san luis obispo    CA            engineer   \n",
       "359         kevin     giberson         glendale    CA            engineer   \n",
       "362         robin         gold    san francisco    CA            engineer   \n",
       "378        gerald         gras        palo alto    CA            engineer   \n",
       "402           dan         hitt        palo alto    CA            engineer   \n",
       "405        rodney      holland           novato    CA            engineer   \n",
       "426          lisa      kassner        la canada    CA            engineer   \n",
       "443           sia     khosrovi        palo alto    CA            engineer   \n",
       "490          mike     lockwood        los gatos    CA            engineer   \n",
       "492         jason      loveman         san jose    CA            engineer   \n",
       "504        robert        marsh         berkeley    CA            engineer   \n",
       "508         karen      mcadams   east palo alto    CA            engineer   \n",
       "543         keith       norman    mountain view    CA            engineer   \n",
       "586          jane        rands        fullerton    CA            engineer   \n",
       "590          doug         rees         berkeley    CA  engineer/publisher   \n",
       "612        partha   shakkottai           duarte    CA            engineer   \n",
       "625          noah        silas    san francisco    CA            engineer   \n",
       "...           ...          ...              ...   ...                 ...   \n",
       "499         wayne         gray     new hartford    NY            engineer   \n",
       "527         david     haldeman    staten island    NY            engineer   \n",
       "564          brad      heckman     walnut creek    CA            engineer   \n",
       "577      jonathan      henshaw        brookline    MA            engineer   \n",
       "580        manuel    hernandez       somerville    MA            engineer   \n",
       "652   christopher       jewell       san rafael    CA            engineer   \n",
       "657        jeremy      johnson        worcester    MA            engineer   \n",
       "667        tuomas    kaikkonen          redmond    WA            engineer   \n",
       "759         sarah        laing          olympia    WA            engineer   \n",
       "837          jeff      markham         san jose    CA            engineer   \n",
       "851        thomas     matthews           howell    NJ            engineer   \n",
       "866         james    mcclellan        cambridge    MA            engineer   \n",
       "872          sean     mcgaffin    moncks corner    SC            engineer   \n",
       "922       william       mitrus         syracuse    NY            engineer   \n",
       "926        daniel       molloy         leesburg    VA            engineer   \n",
       "943          evan       morris      chapel hill    NC            engineer   \n",
       "989        steven       norris         lakewood    OH            engineer   \n",
       "1054         mark       phelan         brooklyn    NY            engineer   \n",
       "1061  p. harrison     picot ii        haymarket    VA            engineer   \n",
       "1063      enrique       pineda           athens    GA            engineer   \n",
       "1070         sean     plaisted          benicia    CA            engineer   \n",
       "1093      brandon      prudent           auburn    WA            engineer   \n",
       "1094         john    prusinski         monterey    MA            engineer   \n",
       "1135         john         rice            waddy    KS            engineer   \n",
       "1157       robert        roper           denver    CO            engineer   \n",
       "1167      timothy      ruppert      new orleans    LA            engineer   \n",
       "1214        scott   settlemier      marlborough    MA            engineer   \n",
       "1239      douglas     simonson         clermont    FL            engineer   \n",
       "1356      michael        trank    pompano beach    FL            engineer   \n",
       "1397      richard        vezis         torrance    CA            engineer   \n",
       "\n",
       "      TotalAllSubmission   Candidate  \n",
       "10                  10.0  jill stein  \n",
       "92                  25.0  jill stein  \n",
       "108                 50.0  jill stein  \n",
       "137                 75.0  jill stein  \n",
       "139                 10.0  jill stein  \n",
       "197                 25.0  jill stein  \n",
       "214                250.0  jill stein  \n",
       "217                 10.0  jill stein  \n",
       "249                100.0  jill stein  \n",
       "257                 10.0  jill stein  \n",
       "290                 75.0  jill stein  \n",
       "294                250.0  jill stein  \n",
       "299                 60.0  jill stein  \n",
       "313                 30.0  jill stein  \n",
       "359                100.0  jill stein  \n",
       "362                100.0  jill stein  \n",
       "378                200.0  jill stein  \n",
       "402                 24.0  jill stein  \n",
       "405                100.0  jill stein  \n",
       "426                250.0  jill stein  \n",
       "443                 10.0  jill stein  \n",
       "490                250.0  jill stein  \n",
       "492                 40.0  jill stein  \n",
       "504                250.0  jill stein  \n",
       "508                 50.0  jill stein  \n",
       "543                 60.0  jill stein  \n",
       "586                100.0  jill stein  \n",
       "590                 25.0  jill stein  \n",
       "612                150.0  jill stein  \n",
       "625                100.0  jill stein  \n",
       "...                  ...         ...  \n",
       "499                 50.0  jill stein  \n",
       "527                100.0  jill stein  \n",
       "564                 50.0  jill stein  \n",
       "577                 10.0  jill stein  \n",
       "580                100.0  jill stein  \n",
       "652                 50.0  jill stein  \n",
       "657                 50.0  jill stein  \n",
       "667                 50.0  jill stein  \n",
       "759                 20.0  jill stein  \n",
       "837                100.0  jill stein  \n",
       "851                 50.0  jill stein  \n",
       "866                100.0  jill stein  \n",
       "872                 50.0  jill stein  \n",
       "922                 10.0  jill stein  \n",
       "926                 10.0  jill stein  \n",
       "943                 10.0  jill stein  \n",
       "989                 25.0  jill stein  \n",
       "1054               100.0  jill stein  \n",
       "1061                15.0  jill stein  \n",
       "1063                10.0  jill stein  \n",
       "1070                25.0  jill stein  \n",
       "1093               100.0  jill stein  \n",
       "1094                30.0  jill stein  \n",
       "1135                50.0  jill stein  \n",
       "1157                50.0  jill stein  \n",
       "1167                75.0  jill stein  \n",
       "1214                35.0  jill stein  \n",
       "1239                20.0  jill stein  \n",
       "1356               125.0  jill stein  \n",
       "1397               250.0  jill stein  \n",
       "\n",
       "[202 rows x 7 columns]"
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grouping together all the people who are Engineer\n",
    "\n",
    "dfs['Occupation'].replace('(.*engineer.*)','engineer',regex=True, inplace = True)\n",
    "dfs['Occupation'] = dfs['Occupation'].replace(to_replace=['engoneer','web developer','engoneer','web designer','programmer','software eng.','computer engineer','statistical computer engineer'], value='engineer', regex=True)\n",
    "dfs[dfs['Occupation'].str.match(r'(.*engineer.*)')==True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [],
   "source": [
    "# grouping together people of a perticular category of occupation\n",
    "\n",
    "dfs['Occupation'].replace('(.*student.*)','student',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*manager.*)','manager',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*analyst.*)','analyst',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*mechanic.*)','mechanic',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*teacher.*)','teacher',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*professor.*)','professor',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*self.*)','self employed',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*intern.*)','intern',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*doctor.*)','doctor',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*nurse.*)','nurse',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*writer.*)','writer',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*retired.*)','retired',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*software.*)','it',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*information technology.*)','it',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*invest.*)','investment',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*machinist.*)','mechanic',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*technician.*)','technician',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*sales.*)','sales',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*worker.*)','worker',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*trainer.*)','trainer',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*estate.*)','real estate',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*educator.*)','educator',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*instructor.*)','instructor',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*it.*)','it',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*law.*)','law',regex=True, inplace = True)\n",
    "dfs['Occupation'].replace('(.*attorney.*)','law',regex=True, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1092"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Listing the number of unique occupations after grouping the major ones\n",
    "\n",
    "dfs.Occupation.nunique(dropna = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1514</th>\n",
       "      <td>edward</td>\n",
       "      <td>zimmer</td>\n",
       "      <td>ordway</td>\n",
       "      <td>CO</td>\n",
       "      <td>worker</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1515</th>\n",
       "      <td>neil</td>\n",
       "      <td>zimmerman</td>\n",
       "      <td>great neck</td>\n",
       "      <td>NY</td>\n",
       "      <td>astronomer</td>\n",
       "      <td>75.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1516</th>\n",
       "      <td>anjani</td>\n",
       "      <td>ziznewski</td>\n",
       "      <td>tesuque</td>\n",
       "      <td>NM</td>\n",
       "      <td>licensed massage therapist</td>\n",
       "      <td>20.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1517</th>\n",
       "      <td>stephen</td>\n",
       "      <td>zorn</td>\n",
       "      <td>new york</td>\n",
       "      <td>NY</td>\n",
       "      <td>law</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1519</th>\n",
       "      <td>david</td>\n",
       "      <td>zuch</td>\n",
       "      <td>san francisco</td>\n",
       "      <td>CA</td>\n",
       "      <td>senior ui developer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>jill stein</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name           City State                  Occupation  \\\n",
       "1514     edward     zimmer         ordway    CO                      worker   \n",
       "1515       neil  zimmerman     great neck    NY                  astronomer   \n",
       "1516     anjani  ziznewski        tesuque    NM  licensed massage therapist   \n",
       "1517    stephen       zorn       new york    NY                         law   \n",
       "1519      david       zuch  san francisco    CA         senior ui developer   \n",
       "\n",
       "      TotalAllSubmission   Candidate  \n",
       "1514               100.0  jill stein  \n",
       "1515                75.0  jill stein  \n",
       "1516                20.0  jill stein  \n",
       "1517               100.0  jill stein  \n",
       "1519               100.0  jill stein  "
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying the data set\n",
    "\n",
    "dfs.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1514</th>\n",
       "      <td>Edward</td>\n",
       "      <td>Zimmer</td>\n",
       "      <td>Ordway</td>\n",
       "      <td>CO</td>\n",
       "      <td>Worker</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1515</th>\n",
       "      <td>Neil</td>\n",
       "      <td>Zimmerman</td>\n",
       "      <td>Great Neck</td>\n",
       "      <td>NY</td>\n",
       "      <td>Astronomer</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1516</th>\n",
       "      <td>Anjani</td>\n",
       "      <td>Ziznewski</td>\n",
       "      <td>Tesuque</td>\n",
       "      <td>NM</td>\n",
       "      <td>Licensed Massage Therapist</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1517</th>\n",
       "      <td>Stephen</td>\n",
       "      <td>Zorn</td>\n",
       "      <td>New York</td>\n",
       "      <td>NY</td>\n",
       "      <td>Law</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1519</th>\n",
       "      <td>David</td>\n",
       "      <td>Zuch</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>CA</td>\n",
       "      <td>Senior Ui Developer</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     First Name  Last Name           City State                  Occupation  \\\n",
       "1514     Edward     Zimmer         Ordway    CO                      Worker   \n",
       "1515       Neil  Zimmerman     Great Neck    NY                  Astronomer   \n",
       "1516     Anjani  Ziznewski        Tesuque    NM  Licensed Massage Therapist   \n",
       "1517    Stephen       Zorn       New York    NY                         Law   \n",
       "1519      David       Zuch  San Francisco    CA         Senior Ui Developer   \n",
       "\n",
       "      TotalAllSubmission   Candidate  \n",
       "1514               100.0  Jill Stein  \n",
       "1515                75.0  Jill Stein  \n",
       "1516                20.0  Jill Stein  \n",
       "1517               100.0  Jill Stein  \n",
       "1519               100.0  Jill Stein  "
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Converting the data to camel casing\n",
    "\n",
    "dfs['First Name']= dfs['First Name'].str.title()\n",
    "dfs['Last Name']= dfs['Last Name'].str.title()\n",
    "dfs['City']= dfs['City'].str.title()\n",
    "dfs['Occupation']= dfs['Occupation'].str.title()\n",
    "dfs['Candidate']= dfs['Candidate'].str.title()\n",
    "totalSteinCampaign = pd.DataFrame(dfs)\n",
    "totalSteinCampaign.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      Candidate Occupation  TotalAllSubmission\n",
      "879  Jill Stein    Retired            46988.47\n",
      "527  Jill Stein         It            26144.64\n",
      "315  Jill Stein   Engineer            17699.00\n",
      "987  Jill Stein    Teacher            16100.00\n",
      "808  Jill Stein  Professor            13587.00\n",
      "592  Jill Stein    Manager            10967.00\n",
      "548  Jill Stein        Law             9500.00\n",
      "972  Jill Stein    Student             7589.00\n",
      "767  Jill Stein  Physician             7355.00\n",
      "43   Jill Stein    Analyst             3560.12\n"
     ]
    }
   ],
   "source": [
    "# Grouping the data set by ['Candidate', 'Occupation'] and Sorting tit by descending order of total contribution\n",
    "\n",
    "grouping = totalSteinCampaign.groupby(['Candidate', 'Occupation'], as_index=False).TotalAllSubmission.sum().sort_values(['Candidate', 'Occupation'])\n",
    "occupation_contribution_stein = grouping.sort_values('TotalAllSubmission',ascending=False)\n",
    "\n",
    "print(occupation_contribution_stein.head(n=10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Candidate</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>Retired</td>\n",
       "      <td>31586.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>21617.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>It</td>\n",
       "      <td>18431.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>Manager</td>\n",
       "      <td>15514.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>Law</td>\n",
       "      <td>11435.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>Student</td>\n",
       "      <td>10493.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>Self Employed</td>\n",
       "      <td>8615.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>Sales</td>\n",
       "      <td>7634.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>5487.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>Gary Johnson</td>\n",
       "      <td>Investment</td>\n",
       "      <td>4380.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>953</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>Retired</td>\n",
       "      <td>48528.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>18699.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>It</td>\n",
       "      <td>14647.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>Law</td>\n",
       "      <td>13476.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>638</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>Manager</td>\n",
       "      <td>12900.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>Self Employed</td>\n",
       "      <td>8969.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>Sales</td>\n",
       "      <td>8737.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1040</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>Student</td>\n",
       "      <td>7119.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1062</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>7028.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>805</th>\n",
       "      <td>Buddy Roemer</td>\n",
       "      <td>Physician</td>\n",
       "      <td>5520.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>Retired</td>\n",
       "      <td>46988.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>It</td>\n",
       "      <td>26144.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>17699.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>16100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>Professor</td>\n",
       "      <td>13587.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>Manager</td>\n",
       "      <td>10967.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>Law</td>\n",
       "      <td>9500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>Student</td>\n",
       "      <td>7589.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>Physician</td>\n",
       "      <td>7355.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Jill Stein</td>\n",
       "      <td>Analyst</td>\n",
       "      <td>3560.12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Candidate     Occupation  TotalAllSubmission\n",
       "661   Gary Johnson        Retired            31586.11\n",
       "254   Gary Johnson       Engineer            21617.60\n",
       "399   Gary Johnson             It            18431.17\n",
       "440   Gary Johnson        Manager            15514.32\n",
       "412   Gary Johnson            Law            11435.12\n",
       "725   Gary Johnson        Student            10493.39\n",
       "682   Gary Johnson  Self Employed             8615.36\n",
       "670   Gary Johnson          Sales             7634.00\n",
       "36    Gary Johnson        Analyst             5487.20\n",
       "396   Gary Johnson     Investment             4380.00\n",
       "953   Buddy Roemer        Retired            48528.00\n",
       "361   Buddy Roemer       Engineer            18699.23\n",
       "571   Buddy Roemer             It            14647.40\n",
       "591   Buddy Roemer            Law            13476.12\n",
       "638   Buddy Roemer        Manager            12900.00\n",
       "978   Buddy Roemer  Self Employed             8969.12\n",
       "967   Buddy Roemer          Sales             8737.00\n",
       "1040  Buddy Roemer        Student             7119.34\n",
       "1062  Buddy Roemer        Teacher             7028.24\n",
       "805   Buddy Roemer      Physician             5520.00\n",
       "879     Jill Stein        Retired            46988.47\n",
       "527     Jill Stein             It            26144.64\n",
       "315     Jill Stein       Engineer            17699.00\n",
       "987     Jill Stein        Teacher            16100.00\n",
       "808     Jill Stein      Professor            13587.00\n",
       "592     Jill Stein        Manager            10967.00\n",
       "548     Jill Stein            Law             9500.00\n",
       "972     Jill Stein        Student             7589.00\n",
       "767     Jill Stein      Physician             7355.00\n",
       "43      Jill Stein        Analyst             3560.12"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combining all the learnings into one data set.\n",
    "occupationDataSet = pd.DataFrame()\n",
    "occupationDataSet=occupationDataSet.append(occupation_contribution_jhonson.head(n=10))\n",
    "occupationDataSet=occupationDataSet.append(occupation_contribution_romer.head(n=10))\n",
    "occupationDataSet=occupationDataSet.append(occupation_contribution_stein.head(n=10))\n",
    "occupationDataSet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fa2b85d12b0>"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the graph for each candidate\n",
    "sea.catplot(data=occupation_contribution_jhonson.head(n=10), x='Occupation', y='TotalAllSubmission', row='Candidate', kind='bar', height=3, aspect=5)\n",
    "sea.catplot( data=occupation_contribution_romer.head(n=10), x='Occupation', y='TotalAllSubmission', row='Candidate', kind='bar', height=3,  aspect=5)\n",
    "sea.catplot( data=occupation_contribution_stein.head(n=10), x='Occupation', y='TotalAllSubmission', row='Candidate', kind='bar', height=3,  aspect=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Ahkivgak</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>Technician</td>\n",
       "      <td>250.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sam</td>\n",
       "      <td>Evans</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>Us Air Force</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Robert</td>\n",
       "      <td>Kupka</td>\n",
       "      <td>Eagle River</td>\n",
       "      <td>AK</td>\n",
       "      <td>Webmaster</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Tyler</td>\n",
       "      <td>Mestas</td>\n",
       "      <td>Fairbanks</td>\n",
       "      <td>AK</td>\n",
       "      <td>Sales</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gary</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Juneau</td>\n",
       "      <td>AK</td>\n",
       "      <td>Retired</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   First Name Last Name         City State    Occupation  TotalAllSubmission  \\\n",
       "0  Elizabeth   Ahkivgak    Anchorage    AK    Technician               250.0   \n",
       "1         Sam     Evans    Anchorage    AK  Us Air Force                20.0   \n",
       "2      Robert     Kupka  Eagle River    AK     Webmaster                10.0   \n",
       "3       Tyler    Mestas    Fairbanks    AK         Sales                75.0   \n",
       "4        Gary    Miller       Juneau    AK       Retired               100.0   \n",
       "\n",
       "    Candidate  \n",
       "0  Jill Stein  \n",
       "1  Jill Stein  \n",
       "2  Jill Stein  \n",
       "3  Jill Stein  \n",
       "4  Jill Stein  "
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combining all the learnings into one data set.\n",
    "topOccupationDataSet = pd.DataFrame()\n",
    "topOccupationDataSet=topOccupationDataSet.append(totalSteinCampaign)\n",
    "topOccupationDataSet=topOccupationDataSet.append(totalRoemerCampaign)\n",
    "topOccupationDataSet=topOccupationDataSet.append(totalJhonsonCampaign)\n",
    "topOccupationDataSet.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2124</th>\n",
       "      <td>Retired</td>\n",
       "      <td>127102.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1278</th>\n",
       "      <td>It</td>\n",
       "      <td>59223.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791</th>\n",
       "      <td>Engineer</td>\n",
       "      <td>58015.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1424</th>\n",
       "      <td>Manager</td>\n",
       "      <td>39381.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1322</th>\n",
       "      <td>Law</td>\n",
       "      <td>34411.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2393</th>\n",
       "      <td>Teacher</td>\n",
       "      <td>25813.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2342</th>\n",
       "      <td>Student</td>\n",
       "      <td>25201.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>Professor</td>\n",
       "      <td>20993.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2150</th>\n",
       "      <td>Sales</td>\n",
       "      <td>19122.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2184</th>\n",
       "      <td>Self Employed</td>\n",
       "      <td>18854.48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Occupation  TotalAllSubmission\n",
       "2124        Retired           127102.58\n",
       "1278             It            59223.21\n",
       "791        Engineer            58015.83\n",
       "1424        Manager            39381.32\n",
       "1322            Law            34411.24\n",
       "2393        Teacher            25813.24\n",
       "2342        Student            25201.73\n",
       "1962      Professor            20993.00\n",
       "2150          Sales            19122.00\n",
       "2184  Self Employed            18854.48"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grouping the data with respect to occupation and finding the total contribution of eact occupation\n",
    "grouping = topOccupationDataSet.groupby(['Occupation'], as_index=False).TotalAllSubmission.sum().sort_values(['TotalAllSubmission'],ascending=False)\n",
    "grouping.head(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>TotalAllSubmission</th>\n",
       "      <th>Candidate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Tyler</td>\n",
       "      <td>Mestas</td>\n",
       "      <td>Fairbanks</td>\n",
       "      <td>AK</td>\n",
       "      <td>Sales</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gary</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Juneau</td>\n",
       "      <td>AK</td>\n",
       "      <td>Retired</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Steven</td>\n",
       "      <td>Shamburek</td>\n",
       "      <td>Anchorage</td>\n",
       "      <td>AK</td>\n",
       "      <td>Law</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Joan</td>\n",
       "      <td>Bell</td>\n",
       "      <td>Clover</td>\n",
       "      <td>AL</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Charles</td>\n",
       "      <td>Bryant</td>\n",
       "      <td>Hazel  Green</td>\n",
       "      <td>AL</td>\n",
       "      <td>Engineer</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Jill Stein</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   First Name  Last Name          City State Occupation  TotalAllSubmission  \\\n",
       "3       Tyler     Mestas     Fairbanks    AK      Sales                75.0   \n",
       "4        Gary     Miller        Juneau    AK    Retired               100.0   \n",
       "6      Steven  Shamburek     Anchorage    AK        Law                50.0   \n",
       "9        Joan       Bell        Clover    AL    Teacher                10.0   \n",
       "10    Charles     Bryant  Hazel  Green    AL   Engineer                10.0   \n",
       "\n",
       "     Candidate  \n",
       "3   Jill Stein  \n",
       "4   Jill Stein  \n",
       "6   Jill Stein  \n",
       "9   Jill Stein  \n",
       "10  Jill Stein  "
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Picking out the top 10 total contributing occupations from each candidate\n",
    "firstOccupationDataSet = topOccupationDataSet['Occupation'] == \"Retired\"\n",
    "secondOccupationDataSet = topOccupationDataSet['Occupation'] == \"It\"\n",
    "thirdOccupationDataSet = topOccupationDataSet['Occupation'] == \"Engineer\"\n",
    "fourthOccupationDataSet = topOccupationDataSet['Occupation'] == \"Manager\"\n",
    "fifthOccupationDataSet = topOccupationDataSet['Occupation'] == \"Law\"\n",
    "sixthOccupationDataSet = topOccupationDataSet['Occupation'] == \"Teacher\"\n",
    "seventhOccupationDataSet = topOccupationDataSet['Occupation'] == \"Student\"\n",
    "eighthOccupationDataSet = topOccupationDataSet['Occupation'] == \"Professor\"\n",
    "ninthOccupationDataSet = topOccupationDataSet['Occupation'] == \"Sales\"\n",
    "tenthOccupationDataSet = topOccupationDataSet['Occupation'] == \"Self Employed\"\n",
    "topOccupationDataSet=topOccupationDataSet[firstOccupationDataSet | secondOccupationDataSet | thirdOccupationDataSet | fourthOccupationDataSet | fifthOccupationDataSet | sixthOccupationDataSet | seventhOccupationDataSet | eighthOccupationDataSet | ninthOccupationDataSet | tenthOccupationDataSet]\n",
    "topOccupationDataSet.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Candidate Occupation  TotalAllSubmission\n",
      "5   Buddy Roemer    Retired            48528.00\n",
      "25    Jill Stein    Retired            46988.47\n",
      "15  Gary Johnson    Retired            31586.11\n",
      "21    Jill Stein         It            26144.64\n",
      "10  Gary Johnson   Engineer            21617.60\n",
      "0   Buddy Roemer   Engineer            18699.23\n",
      "11  Gary Johnson         It            18431.17\n",
      "20    Jill Stein   Engineer            17699.00\n",
      "29    Jill Stein    Teacher            16100.00\n",
      "13  Gary Johnson    Manager            15514.32\n"
     ]
    }
   ],
   "source": [
    "# grouping with respect to occupation and candidate\n",
    "grouping2 = topOccupationDataSet.groupby(['Candidate', 'Occupation'], as_index=False).TotalAllSubmission.sum().sort_values(['Candidate', 'Occupation'],ascending=False)\n",
    "occupation_contribution_top5 = grouping2.sort_values('TotalAllSubmission',ascending=False)\n",
    "\n",
    "print(occupation_contribution_top5.head(n=10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 829.875x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the learnings.\n",
    "sea.catplot(x=\"Occupation\", y=\"TotalAllSubmission\", hue=\"Candidate\", kind=\"point\",  height=5, \n",
    "    aspect=2, data=occupation_contribution_top5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.6",
   "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": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}