{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Analysis #4: Executive Education"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## So you want to start a company..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The leaders of the world's top businesses have to start somewhere. Using the Crunchbase data, we take a look at where these business leaders received their educations. Is it true that you need to attend a world class institution to be successful, or is the business world much more varied in terms of educational backgrounds?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "% matplotlib inline\n",
    "# Overhead\n",
    "import MySQLdb\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from IPython.display import display\n",
    "from modules import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the crunchbase data is in the form of MySQL database dumps, we have already loaded this information into a MySQL database locally. See ___________ for instructions if you have not done this already. \n",
    "\n",
    "Next, we connect to that database and save a couple information tables locally as pandas DataFrames."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Username: root\n",
      "Password: ········\n"
     ]
    }
   ],
   "source": [
    "conn = dbConnect()\n",
    "people = dbTableToDataFrame(conn,'cb_people')\n",
    "degrees = dbTableToDataFrame(conn,'cb_degrees')\n",
    "funding_rounds = dbTableToDataFrame(conn,'cb_funding_rounds')\n",
    "objects = dbTableToDataFrame(conn,'cb_objects')\n",
    "conn.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The most successful businesses\n",
    "\n",
    "If we consider a successful business to be one that has raised the most capital through a variety of funding rounds, we can sort our dataset accordingly."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can get the total raised by a company by using the `funding_total_usd` column in the objects database. Note that we only want to use companies, so we only select those with an `entity_type` of \"company\". We will also reduce the size of our dataframe to include only a couple important metrics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>entity_id</th>\n",
       "      <th>funding_total_usd</th>\n",
       "      <th>closed_at</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4575</th>\n",
       "      <td>Clearwire</td>\n",
       "      <td>13219</td>\n",
       "      <td>5700000000</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160023</th>\n",
       "      <td>Verizon Communications, Inc.</td>\n",
       "      <td>4843</td>\n",
       "      <td>3985050000</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97784</th>\n",
       "      <td>sigmacare</td>\n",
       "      <td>242735</td>\n",
       "      <td>2600000000</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161551</th>\n",
       "      <td>Facebook</td>\n",
       "      <td>5</td>\n",
       "      <td>2425700000</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175825</th>\n",
       "      <td>Carestream</td>\n",
       "      <td>64365</td>\n",
       "      <td>2400000000</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81001</th>\n",
       "      <td>Solyndra</td>\n",
       "      <td>22568</td>\n",
       "      <td>1765504319</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170979</th>\n",
       "      <td>Fisker Automotive</td>\n",
       "      <td>5951</td>\n",
       "      <td>1451000000</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151715</th>\n",
       "      <td>O3b Networks</td>\n",
       "      <td>39799</td>\n",
       "      <td>1270283000</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101987</th>\n",
       "      <td>Terra-Gen Power</td>\n",
       "      <td>24693</td>\n",
       "      <td>1200000000</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2971</th>\n",
       "      <td>Twitter</td>\n",
       "      <td>12</td>\n",
       "      <td>1160166511</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                name  entity_id funding_total_usd closed_at\n",
       "4575                       Clearwire      13219        5700000000      None\n",
       "160023  Verizon Communications, Inc.       4843        3985050000      None\n",
       "97784                      sigmacare     242735        2600000000      None\n",
       "161551                      Facebook          5        2425700000      None\n",
       "175825                    Carestream      64365        2400000000      None\n",
       "81001                       Solyndra      22568        1765504319      None\n",
       "170979             Fisker Automotive       5951        1451000000      None\n",
       "151715                  O3b Networks      39799        1270283000      None\n",
       "101987               Terra-Gen Power      24693        1200000000      None\n",
       "2971                         Twitter         12        1160166511      None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 27,874 companies in the dataset\n"
     ]
    }
   ],
   "source": [
    "companies = objects[objects.entity_type=='Company'][['name','entity_id','funding_total_usd','closed_at']].copy()\n",
    "# Only select companies who have raised some money\n",
    "companies = companies.dropna(subset=['funding_total_usd'])\n",
    "display(companies.sort_values('funding_total_usd',ascending=False).head(10))\n",
    "\n",
    "comp_tot = len(companies)\n",
    "print('There are {:,} companies in the dataset'.format(comp_tot))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have all of the companies, let's define exactly what we mean by the most successful companies. First, to get a feel for the data visually, let's look at the top 100 companies and their fundraising totals."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YzWajQYMGSZ458dkS68bHxxuNGjUyzGazERAQYCQkJFjqbtiwwShVqlSS8Tl58qTlffJk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\naX19XVNTU7q6ulJERISys7PV2Nj44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      "text/plain": [
       "<matplotlib.figure.Figure at 0x117627748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(20,20))\n",
    "n_top_companies = 100\n",
    "plotset = companies.sort_values('funding_total_usd',ascending=False).head(n_top_companies)\n",
    "ax = sns.barplot(x='funding_total_usd',y='name',data=plotset)\n",
    "ax.set_title('Funding Totals for the Top {} Companies'.format(n_top_companies),fontsize=22)\n",
    "ax.set_xscale('log')\n",
    "ax.set_xlabel('Funding Total [USD] -- Log Scale',fontsize=18);\n",
    "ax.set_yticklabels(labels=plotset.name)\n",
    "ax.set_ylabel('Company',fontsize=18)\n",
    "plt.savefig('results/funding_totals.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the y-axis is on a logarithmic scale, and so the visible trend is dramatically underexaggerated.\n",
    "\n",
    "It appears that only a handful of the companies fundraise greater than \\$1 billion (\\$$10^9$), though many more companies appear to fundraise in the millions. Let's find the exact percent of companies for each order of magnitude."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27,854 companies (99.9%) above $1,000\n",
      "27,608 companies (99.0%) above $10,000\n",
      "24,960 companies (89.5%) above $100,000\n",
      "18,112 companies (65.0%) above $1,000,000\n",
      "7,309 companies (26.2%) above $10,000,000\n",
      "630 companies (2.3%) above $100,000,000\n",
      "15 companies (0.1%) above $1,000,000,000\n",
      "0 companies (0.0%) above $10,000,000,000\n"
     ]
    }
   ],
   "source": [
    "I,F = 3,10\n",
    "for i in np.logspace(I,F,F-I+1):\n",
    "    num_above = len(companies[companies['funding_total_usd']>i])\n",
    "    frac = num_above/comp_tot\n",
    "    print('{:,} companies ({}%) above ${:,}'.format(num_above,round(100*frac,1),int(i)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see from this that only slightly more than 25% of the companies fundraise more than $10 million. Let's define these 7309 companies as the most successful."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The people behind the most successful businesses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we can use the people database to pair individuals with the company they are affiliated with. Like for the funding rounds data, we don't need all of the information provided in the database of people either. Since we ultimately want to look at educational factors, let's limit the dataset to only a person's name (first and last), `object_id`, and affiliation, in a key that will let us link to the degrees dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>affiliation_name</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>object_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Blue Nile</td>\n",
       "      <td>Ben</td>\n",
       "      <td>Elowitz</td>\n",
       "      <td>p:2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Wetpaint</td>\n",
       "      <td>Kevin</td>\n",
       "      <td>Flaherty</td>\n",
       "      <td>p:3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Zoho</td>\n",
       "      <td>Raju</td>\n",
       "      <td>Vegesna</td>\n",
       "      <td>p:4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Zoho</td>\n",
       "      <td>Ian</td>\n",
       "      <td>Wenig</td>\n",
       "      <td>p:5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i/o Ventures</td>\n",
       "      <td>Kevin</td>\n",
       "      <td>Rose</td>\n",
       "      <td>p:6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Digg</td>\n",
       "      <td>Jay</td>\n",
       "      <td>Adelson</td>\n",
       "      <td>p:7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Digg</td>\n",
       "      <td>Owen</td>\n",
       "      <td>Byrne</td>\n",
       "      <td>p:8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Digg</td>\n",
       "      <td>Ron</td>\n",
       "      <td>Gorodetzky</td>\n",
       "      <td>p:9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Facebook</td>\n",
       "      <td>Mark</td>\n",
       "      <td>Zuckerberg</td>\n",
       "      <td>p:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Facebook</td>\n",
       "      <td>Dustin</td>\n",
       "      <td>Moskovitz</td>\n",
       "      <td>p:11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  affiliation_name first_name   last_name object_id\n",
       "0        Blue Nile        Ben     Elowitz       p:2\n",
       "1         Wetpaint      Kevin    Flaherty       p:3\n",
       "2             Zoho       Raju     Vegesna       p:4\n",
       "3             Zoho        Ian       Wenig       p:5\n",
       "4     i/o Ventures      Kevin        Rose       p:6\n",
       "5             Digg        Jay     Adelson       p:7\n",
       "6             Digg       Owen       Byrne       p:8\n",
       "7             Digg        Ron  Gorodetzky       p:9\n",
       "8         Facebook       Mark  Zuckerberg      p:10\n",
       "9         Facebook     Dustin   Moskovitz      p:11"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 226,709 people in the dataset\n"
     ]
    }
   ],
   "source": [
    "people_key = people[['affiliation_name','first_name','last_name','object_id']]\n",
    "display(people_key.head(10))\n",
    "\n",
    "ppl_tot = len(people_key)\n",
    "print('There are {:,} people in the dataset'.format(ppl_tot))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we merge the two datasets together to get each funded company and people in the crunchbase dataset who were involved."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>entity_id</th>\n",
       "      <th>funding_total_usd</th>\n",
       "      <th>closed_at</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>object_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wetpaint</td>\n",
       "      <td>1</td>\n",
       "      <td>39750000</td>\n",
       "      <td>None</td>\n",
       "      <td>Kevin</td>\n",
       "      <td>Flaherty</td>\n",
       "      <td>p:3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Wetpaint</td>\n",
       "      <td>1</td>\n",
       "      <td>39750000</td>\n",
       "      <td>None</td>\n",
       "      <td>Alex</td>\n",
       "      <td>Weinstein</td>\n",
       "      <td>p:104800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FriendFeed</td>\n",
       "      <td>1001</td>\n",
       "      <td>5000000</td>\n",
       "      <td>None</td>\n",
       "      <td>Paul</td>\n",
       "      <td>Buchheit</td>\n",
       "      <td>p:640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FriendFeed</td>\n",
       "      <td>1001</td>\n",
       "      <td>5000000</td>\n",
       "      <td>None</td>\n",
       "      <td>Sanjeev</td>\n",
       "      <td>Singh</td>\n",
       "      <td>p:2716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fitbit</td>\n",
       "      <td>10015</td>\n",
       "      <td>68069200</td>\n",
       "      <td>None</td>\n",
       "      <td>James</td>\n",
       "      <td>Park</td>\n",
       "      <td>p:16930</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         name  entity_id funding_total_usd closed_at first_name  last_name  \\\n",
       "0    Wetpaint          1          39750000      None      Kevin   Flaherty   \n",
       "1    Wetpaint          1          39750000      None       Alex  Weinstein   \n",
       "2  FriendFeed       1001           5000000      None       Paul   Buchheit   \n",
       "3  FriendFeed       1001           5000000      None    Sanjeev      Singh   \n",
       "4      Fitbit      10015          68069200      None      James       Park   \n",
       "\n",
       "  object_id  \n",
       "0       p:3  \n",
       "1  p:104800  \n",
       "2     p:640  \n",
       "3    p:2716  \n",
       "4   p:16930  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 12,168 people affiliated with funded companies in the dataset\n"
     ]
    }
   ],
   "source": [
    "company_people = pd.merge(companies,people_key,left_on='name',right_on='affiliation_name').drop('affiliation_name',axis=1)\n",
    "display(company_people.head())\n",
    "\n",
    "cp_tot = len(company_people)\n",
    "print('There are {:,} people affiliated with funded companies in the dataset'.format(cp_tot))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly, there are significantly fewer people associated with companies than there are people in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now repeat the merging process with the dataset of educational information. First, let's limit the degrees dataset to include only degree type, institution, subject, and the id of the corresponding person (`object_id`). Then, we merge this into the database of companies and people."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>entity_id</th>\n",
       "      <th>funding_total_usd</th>\n",
       "      <th>closed_at</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>object_id</th>\n",
       "      <th>institution</th>\n",
       "      <th>degree_type</th>\n",
       "      <th>subject</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wetpaint</td>\n",
       "      <td>1</td>\n",
       "      <td>39750000</td>\n",
       "      <td>None</td>\n",
       "      <td>Kevin</td>\n",
       "      <td>Flaherty</td>\n",
       "      <td>p:3</td>\n",
       "      <td>Washington University in St Louis</td>\n",
       "      <td>BBA</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Wetpaint</td>\n",
       "      <td>1</td>\n",
       "      <td>39750000</td>\n",
       "      <td>None</td>\n",
       "      <td>Kevin</td>\n",
       "      <td>Flaherty</td>\n",
       "      <td>p:3</td>\n",
       "      <td>Indiana University</td>\n",
       "      <td>MBA</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FriendFeed</td>\n",
       "      <td>1001</td>\n",
       "      <td>5000000</td>\n",
       "      <td>None</td>\n",
       "      <td>Paul</td>\n",
       "      <td>Buchheit</td>\n",
       "      <td>p:640</td>\n",
       "      <td>Case Western Reserve University</td>\n",
       "      <td>MS</td>\n",
       "      <td>Computer Science</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FriendFeed</td>\n",
       "      <td>1001</td>\n",
       "      <td>5000000</td>\n",
       "      <td>None</td>\n",
       "      <td>Sanjeev</td>\n",
       "      <td>Singh</td>\n",
       "      <td>p:2716</td>\n",
       "      <td>Stanford University</td>\n",
       "      <td>BS</td>\n",
       "      <td>Computer Science</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fitbit</td>\n",
       "      <td>10015</td>\n",
       "      <td>68069200</td>\n",
       "      <td>None</td>\n",
       "      <td>James</td>\n",
       "      <td>Park</td>\n",
       "      <td>p:16930</td>\n",
       "      <td>Harvard University</td>\n",
       "      <td>DNF</td>\n",
       "      <td>Computer Science</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Fitbit</td>\n",
       "      <td>10015</td>\n",
       "      <td>68069200</td>\n",
       "      <td>None</td>\n",
       "      <td>Eric</td>\n",
       "      <td>Friedman</td>\n",
       "      <td>p:16931</td>\n",
       "      <td>George Washington University</td>\n",
       "      <td>BBA</td>\n",
       "      <td>Business Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Fitbit</td>\n",
       "      <td>10015</td>\n",
       "      <td>68069200</td>\n",
       "      <td>None</td>\n",
       "      <td>Meena</td>\n",
       "      <td>Srinivasan</td>\n",
       "      <td>p:89236</td>\n",
       "      <td>India, Certified Public Accountant in California</td>\n",
       "      <td>Chartered Accountant</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Fitbit</td>\n",
       "      <td>10015</td>\n",
       "      <td>68069200</td>\n",
       "      <td>None</td>\n",
       "      <td>Meena</td>\n",
       "      <td>Srinivasan</td>\n",
       "      <td>p:89236</td>\n",
       "      <td>East Carolina University</td>\n",
       "      <td>MBA</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Fitbit</td>\n",
       "      <td>10015</td>\n",
       "      <td>68069200</td>\n",
       "      <td>None</td>\n",
       "      <td>Mark</td>\n",
       "      <td>Silverio</td>\n",
       "      <td>p:121130</td>\n",
       "      <td>Boston College</td>\n",
       "      <td>BS</td>\n",
       "      <td>Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Fitbit</td>\n",
       "      <td>10015</td>\n",
       "      <td>68069200</td>\n",
       "      <td>None</td>\n",
       "      <td>Eric</td>\n",
       "      <td>Friedman</td>\n",
       "      <td>p:216979</td>\n",
       "      <td>Yale University</td>\n",
       "      <td>MS</td>\n",
       "      <td>Computer Science</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         name  entity_id funding_total_usd closed_at first_name   last_name  \\\n",
       "0    Wetpaint          1          39750000      None      Kevin    Flaherty   \n",
       "1    Wetpaint          1          39750000      None      Kevin    Flaherty   \n",
       "2  FriendFeed       1001           5000000      None       Paul    Buchheit   \n",
       "3  FriendFeed       1001           5000000      None    Sanjeev       Singh   \n",
       "4      Fitbit      10015          68069200      None      James        Park   \n",
       "5      Fitbit      10015          68069200      None       Eric    Friedman   \n",
       "6      Fitbit      10015          68069200      None      Meena  Srinivasan   \n",
       "7      Fitbit      10015          68069200      None      Meena  Srinivasan   \n",
       "8      Fitbit      10015          68069200      None       Mark    Silverio   \n",
       "9      Fitbit      10015          68069200      None       Eric    Friedman   \n",
       "\n",
       "  object_id                                       institution  \\\n",
       "0       p:3                 Washington University in St Louis   \n",
       "1       p:3                                Indiana University   \n",
       "2     p:640                   Case Western Reserve University   \n",
       "3    p:2716                               Stanford University   \n",
       "4   p:16930                                Harvard University   \n",
       "5   p:16931                      George Washington University   \n",
       "6   p:89236  India, Certified Public Accountant in California   \n",
       "7   p:89236                          East Carolina University   \n",
       "8  p:121130                                    Boston College   \n",
       "9  p:216979                                   Yale University   \n",
       "\n",
       "            degree_type             subject  \n",
       "0                   BBA                None  \n",
       "1                   MBA                None  \n",
       "2                    MS    Computer Science  \n",
       "3                    BS    Computer Science  \n",
       "4                   DNF    Computer Science  \n",
       "5                   BBA  Business Marketing  \n",
       "6  Chartered Accountant                None  \n",
       "7                   MBA                None  \n",
       "8                    BS           Marketing  \n",
       "9                    MS    Computer Science  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "edu = degrees[['object_id','institution','degree_type','subject']].dropna(subset=['institution'])\n",
    "CPE = pd.merge(company_people,edu,on='object_id')\n",
    "display(CPE.head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we filter the dataset of company, people, and education to only those in the most successful businesses (those who fundraised more than $10 million)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>entity_id</th>\n",
       "      <th>funding_total_usd</th>\n",
       "      <th>closed_at</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>object_id</th>\n",
       "      <th>institution</th>\n",
       "      <th>degree_type</th>\n",
       "      <th>subject</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wetpaint</td>\n",
       "      <td>1</td>\n",
       "      <td>39750000</td>\n",
       "      <td>None</td>\n",
       "      <td>Kevin</td>\n",
       "      <td>Flaherty</td>\n",
       "      <td>p:3</td>\n",
       "      <td>Washington University in St Louis</td>\n",
       "      <td>BBA</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Wetpaint</td>\n",
       "      <td>1</td>\n",
       "      <td>39750000</td>\n",
       "      <td>None</td>\n",
       "      <td>Kevin</td>\n",
       "      <td>Flaherty</td>\n",
       "      <td>p:3</td>\n",
       "      <td>Indiana University</td>\n",
       "      <td>MBA</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FriendFeed</td>\n",
       "      <td>1001</td>\n",
       "      <td>5000000</td>\n",
       "      <td>None</td>\n",
       "      <td>Paul</td>\n",
       "      <td>Buchheit</td>\n",
       "      <td>p:640</td>\n",
       "      <td>Case Western Reserve University</td>\n",
       "      <td>MS</td>\n",
       "      <td>Computer Science</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FriendFeed</td>\n",
       "      <td>1001</td>\n",
       "      <td>5000000</td>\n",
       "      <td>None</td>\n",
       "      <td>Sanjeev</td>\n",
       "      <td>Singh</td>\n",
       "      <td>p:2716</td>\n",
       "      <td>Stanford University</td>\n",
       "      <td>BS</td>\n",
       "      <td>Computer Science</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fitbit</td>\n",
       "      <td>10015</td>\n",
       "      <td>68069200</td>\n",
       "      <td>None</td>\n",
       "      <td>James</td>\n",
       "      <td>Park</td>\n",
       "      <td>p:16930</td>\n",
       "      <td>Harvard University</td>\n",
       "      <td>DNF</td>\n",
       "      <td>Computer Science</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         name  entity_id funding_total_usd closed_at first_name last_name  \\\n",
       "0    Wetpaint          1          39750000      None      Kevin  Flaherty   \n",
       "1    Wetpaint          1          39750000      None      Kevin  Flaherty   \n",
       "2  FriendFeed       1001           5000000      None       Paul  Buchheit   \n",
       "3  FriendFeed       1001           5000000      None    Sanjeev     Singh   \n",
       "4      Fitbit      10015          68069200      None      James      Park   \n",
       "\n",
       "  object_id                        institution degree_type           subject  \n",
       "0       p:3  Washington University in St Louis         BBA              None  \n",
       "1       p:3                 Indiana University         MBA              None  \n",
       "2     p:640    Case Western Reserve University          MS  Computer Science  \n",
       "3    p:2716                Stanford University          BS  Computer Science  \n",
       "4   p:16930                 Harvard University         DNF  Computer Science  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 10,823 entries in the dataset, and 6,768 unique people in the dataset.\n",
      "On average, successful businesses involve people with an average of 1.6 degrees.\n"
     ]
    }
   ],
   "source": [
    "successful_CPE = CPE[CPE['funding_total_usd']>10_000]\n",
    "display(successful_CPE.head())\n",
    "\n",
    "n_entries = len(CPE)\n",
    "n_unique_ppl = CPE['object_id'].nunique()\n",
    "print('There are {:,} entries in the dataset, and {:,} unique people in the dataset.'.format(n_entries,n_unique_ppl))\n",
    "print('On average, successful businesses involve people with an average of {} degrees.'.format(round(n_entries/n_unique_ppl,1)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that out of the 12,168 people in the full dataset, more than half are associated with well performing businesses. We also see that it is quite common for those at successful businesses to have multiple degrees."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## (Not so) humble beginnings\n",
    "\n",
    "Next we take a look at the institutions who have produced the people affiliated with the successful businesses. If we were to take a closer look at the table above, you would see that many of the institutions are duplicated, but often with slight variations for each school."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will try to eliminate some of these duplicates, while at the same time reducing the names in such a way that we can properly aggregate a school when it is named alternatively. We will do this by defining a function which processes a list of school names, removes punctuation and superfluous word (often we are not interested in specific business schools or law schools, and we want inputs like \"University of California–Berkeley\" and \"University of California, Berkeley\" to be treated the same. Note: the function defined here relies on a more complicated \"SchoolTools\" class which is contained in the `modules` module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def identify_institutions(institutions):\n",
    "    '''\n",
    "    Identify institutions using a common name.\n",
    "    \n",
    "    Each person in the database has a university which was input by a user. \n",
    "    These inputs are not uniform, and so names are inconsistent for some schools.\n",
    "    (e.g. Berkeley could be UC Berkeley, Cal, or The University of California)\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    institutions : Series\n",
    "        A series giving a list of institutions to be identified.\n",
    "        \n",
    "    Returns\n",
    "    -------\n",
    "    inst : Series\n",
    "        A series where insitutions have been commonly identified.\n",
    "    \n",
    "    '''\n",
    "    ST = SchoolTools()\n",
    "    # Make all words lowercase\n",
    "    inst=institutions.str.lower()\n",
    "    #Remove stopwords\n",
    "    inst = ST.remove_stopwords(inst)\n",
    "    # Remove punctuation\n",
    "    inst = ST.remove_punctuation(inst)\n",
    "    # Replace common stems with just the stem, delete others, and replace keywords and nicknames with a common title.\n",
    "    inst = ST.identify_schools(inst)\n",
    "    return inst.str.title() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cpe = CPE.copy()\n",
    "cpe.institution=identify_institutions(cpe.institution)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset is still quite large by itself. To reduce it's size, we will only focus on those schools which have contributed 15 or more people to successful businesses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>entity_id</th>\n",
       "      <th>funding_total_usd</th>\n",
       "      <th>closed_at</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>object_id</th>\n",
       "      <th>institution</th>\n",
       "      <th>degree_type</th>\n",
       "      <th>subject</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10708</th>\n",
       "      <td>Zillow</td>\n",
       "      <td>959</td>\n",
       "      <td>96627980</td>\n",
       "      <td>None</td>\n",
       "      <td>Christopher</td>\n",
       "      <td>Roberts</td>\n",
       "      <td>p:2556</td>\n",
       "      <td>Stanford</td>\n",
       "      <td>BS</td>\n",
       "      <td>Mechanical Engineering</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7501</th>\n",
       "      <td>Facebook</td>\n",
       "      <td>5</td>\n",
       "      <td>2425700000</td>\n",
       "      <td>None</td>\n",
       "      <td>Sandra Liu</td>\n",
       "      <td>Huang</td>\n",
       "      <td>p:15296</td>\n",
       "      <td>Stanford</td>\n",
       "      <td>BS</td>\n",
       "      <td>Computer Science</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6930</th>\n",
       "      <td>Apture</td>\n",
       "      <td>4421</td>\n",
       "      <td>4600000</td>\n",
       "      <td>None</td>\n",
       "      <td>Can</td>\n",
       "      <td>Sar</td>\n",
       "      <td>p:18982</td>\n",
       "      <td>Stanford</td>\n",
       "      <td>BS</td>\n",
       "      <td>Computer Science</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6931</th>\n",
       "      <td>Apture</td>\n",
       "      <td>4421</td>\n",
       "      <td>4600000</td>\n",
       "      <td>None</td>\n",
       "      <td>Can</td>\n",
       "      <td>Sar</td>\n",
       "      <td>p:18982</td>\n",
       "      <td>Stanford</td>\n",
       "      <td>MS</td>\n",
       "      <td>Computer Science</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>MUBI</td>\n",
       "      <td>4524</td>\n",
       "      <td>8245630</td>\n",
       "      <td>None</td>\n",
       "      <td>Efe</td>\n",
       "      <td>Cakarel</td>\n",
       "      <td>p:9537</td>\n",
       "      <td>Stanford</td>\n",
       "      <td>MBA</td>\n",
       "      <td>None</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           name  entity_id funding_total_usd closed_at   first_name last_name  \\\n",
       "10708    Zillow        959          96627980      None  Christopher   Roberts   \n",
       "7501   Facebook          5        2425700000      None   Sandra Liu     Huang   \n",
       "6930     Apture       4421           4600000      None          Can       Sar   \n",
       "6931     Apture       4421           4600000      None          Can       Sar   \n",
       "7040       MUBI       4524           8245630      None          Efe   Cakarel   \n",
       "\n",
       "      object_id institution degree_type                 subject  total  \n",
       "10708    p:2556    Stanford          BS  Mechanical Engineering    618  \n",
       "7501    p:15296    Stanford          BS        Computer Science    618  \n",
       "6930    p:18982    Stanford          BS        Computer Science    618  \n",
       "6931    p:18982    Stanford          MS        Computer Science    618  \n",
       "7040     p:9537    Stanford         MBA                    None    618  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "people_contributed_min = 15\n",
    "inst_counts = pd.DataFrame(cpe.institution.value_counts())\n",
    "inst_counts = inst_counts.rename(columns={'institution':'total'})\n",
    "inst_mult = inst_counts[inst_counts.total>=people_contributed_min]\n",
    "cpe_count = pd.merge(cpe,inst_mult,left_on='institution',right_index=True).sort_values('total',ascending=False)\n",
    "cpe_count.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To make more sense of this dataset, we will plot according to universities which have contributed the most people to successful businesses."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vcBTVUFVcXCxRb8HalJeXo7CwUKghj/8MEnXPEVWfuu45n3MMJMG/N3l4eLDD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\nTh2NHDlSU6dO1Z133qmcnByFhYWpT58+kqTPP/9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SAAAg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\nyAAAAAAAAFaGhA4AAAAAAICVY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fB6ZYfwp33WfmJlh4D/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frKwsBgwYYN7P5/dmzJhBZGQkLVq0MHcGNWvWjD59+gDQsGFDxo8fD0CfPn2YPHky0dHRGI1G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\npUuXtn5fvHixoqKiFBc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TOTo6Kjg4WM2bN5ePj4/q16+vq1ev3rH9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\nIiLy2FNCRyzOnj1LREQEmzZtokSJE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      "text/plain": [
       "<matplotlib.figure.Figure at 0x143ec6ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,edu_ax = plt.subplots(figsize=(16,25))\n",
    "fig.suptitle('Graduates contributed to the most successful businesses by college',fontsize=22,x=0.55,y=1.01)\n",
    "\n",
    "edu_ax = sns.barplot(x='total',y='institution',data=cpe_count)\n",
    "edu_ax.tick_params(labelsize=18)\n",
    "edu_ax.xaxis.tick_top()\n",
    "edu_ax.set_xlabel('Number of graduates',fontsize=18);\n",
    "edu_ax.xaxis.set_label_position('top') \n",
    "edu_ax.set_yticklabels(labels=cpe_count.institution.unique(),fontsize=12)\n",
    "edu_ax.set_ylabel('School',fontsize=18)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.savefig('results/affiliates_by_school.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "We can see that there are several universities contributing far more graduates to the top businesses than the rest. Just the top three schools (Stanford, Harvard, and UC Berkeley) produce more than 13% of executives and founders of these companies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stanford has 5.7% of the total graduates in top businesses.\n",
      "Harvard has 4.8% of the total graduates in top businesses.\n",
      "Berkeley has 3.0% of the total graduates in top businesses.\n",
      "Together, these three schools produced 13.5% of the total graduates in top businesses.\n"
     ]
    }
   ],
   "source": [
    "cum_frac = 0\n",
    "for top_school in ['Stanford','Harvard','Berkeley']:\n",
    "    frac = inst_counts.total.loc[top_school]/inst_counts.total.sum()\n",
    "    cum_frac += frac\n",
    "    print('{} has {}% of the total graduates in top businesses.'.format(top_school,round(100*frac,1)))\n",
    "print('Together, these three schools produced {}% of the total graduates in top businesses.'.format(round(100*cum_frac,1)))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}