Part_II_Crunchbase_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "from numpy import inf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part II: Crunchbase EDA\n",
    "This data set contains 8585 startups on which crunchbase provided a \"closed date\", mostly in the format of a single year number and occasionally including the months and the day. The overall number of companies that closed was higher with 31537 companies indicating that a lot of the data is not labbelled for the close date.\n",
    "Considering Susan Li's blogpost on Crunchbase startups [over here](https://towardsdatascience.com/tale-of-1000-crunchbase-startups-6de0ff97f60e)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Acquisition Status Average Visits (6 months) Bounce Rate  \\\n",
      "0                   NaN                 11,007.44      56.51%   \n",
      "1                   NaN                       NaN         NaN   \n",
      "2                   NaN                       NaN         NaN   \n",
      "3                   NaN                       NaN         NaN   \n",
      "4                   NaN                       NaN         NaN   \n",
      "5     Made Acquisitions                       NaN         NaN   \n",
      "6                   NaN                       NaN         NaN   \n",
      "7                   NaN                    631.51      48.92%   \n",
      "8                   NaN                    761.65        100%   \n",
      "9                   NaN                431,494.95      46.09%   \n",
      "10                  NaN                       NaN         NaN   \n",
      "11         Was Acquired                       NaN         NaN   \n",
      "12                  NaN                       NaN         NaN   \n",
      "13                  NaN                    802.61         NaN   \n",
      "14                  NaN                       NaN         NaN   \n",
      "15                  NaN                     35.28         NaN   \n",
      "16                  NaN                       NaN         NaN   \n",
      "17                  NaN                       NaN         NaN   \n",
      "18                  NaN                       NaN         NaN   \n",
      "19                  NaN                       NaN         NaN   \n",
      "20                  NaN                       NaN         NaN   \n",
      "21                  NaN                       NaN         NaN   \n",
      "22                  NaN                       NaN         NaN   \n",
      "23         Was Acquired                       NaN         NaN   \n",
      "24                  NaN                       NaN         NaN   \n",
      "25                  NaN                       NaN         NaN   \n",
      "26         Was Acquired                       NaN         NaN   \n",
      "27                  NaN                       NaN         NaN   \n",
      "28         Was Acquired                       NaN         NaN   \n",
      "29                  NaN                       NaN         NaN   \n",
      "...                 ...                       ...         ...   \n",
      "8556                NaN                       NaN         NaN   \n",
      "8557                NaN                       NaN         NaN   \n",
      "8558                NaN                       NaN         NaN   \n",
      "8559                NaN                       NaN         NaN   \n",
      "8560                NaN                       NaN         NaN   \n",
      "8561                NaN                       NaN         NaN   \n",
      "8562                NaN                       NaN         NaN   \n",
      "8563                NaN                       NaN         NaN   \n",
      "8564                NaN                       NaN         NaN   \n",
      "8565                NaN                       NaN         NaN   \n",
      "8566                NaN                       NaN         NaN   \n",
      "8567                NaN                       NaN         NaN   \n",
      "8568                NaN                       NaN         NaN   \n",
      "8569                NaN                       NaN         NaN   \n",
      "8570                NaN                       NaN         NaN   \n",
      "8571                NaN                       NaN         NaN   \n",
      "8572                NaN                       NaN         NaN   \n",
      "8573                NaN                       NaN         NaN   \n",
      "8574                NaN                       NaN         NaN   \n",
      "8575                NaN                       NaN         NaN   \n",
      "8576                NaN                       NaN         NaN   \n",
      "8577                NaN                       NaN         NaN   \n",
      "8578                NaN                     84.14      50.63%   \n",
      "8579                NaN                       NaN         NaN   \n",
      "8580                NaN                       NaN         NaN   \n",
      "8581                NaN                       NaN         NaN   \n",
      "8582                NaN                       NaN         NaN   \n",
      "8583                NaN                       NaN         NaN   \n",
      "8584                NaN                       NaN         NaN   \n",
      "8585                NaN                       NaN         NaN   \n",
      "\n",
      "     Bounce Rate Growth CB Rank (Company)  CEO Approval Rating  \\\n",
      "0                37.61%           100,696                  NaN   \n",
      "1                   NaN           182,343                  NaN   \n",
      "2                   NaN           184,093                  NaN   \n",
      "3                   NaN           190,098                  NaN   \n",
      "4                   NaN           203,910                  NaN   \n",
      "5                   NaN           252,147                  NaN   \n",
      "6                   NaN           266,094                  NaN   \n",
      "7               -12.07%           322,796                  NaN   \n",
      "8                 9.87%           333,937                  NaN   \n",
      "9                -5.30%           343,572                  NaN   \n",
      "10                  NaN           353,128                  NaN   \n",
      "11                  NaN           356,551                  NaN   \n",
      "12                  NaN           415,824                  NaN   \n",
      "13                  NaN           434,136                  NaN   \n",
      "14                  NaN           436,051                  NaN   \n",
      "15                  NaN           439,680                  NaN   \n",
      "16                  NaN           451,724                  NaN   \n",
      "17                  NaN           497,355                  NaN   \n",
      "18                  NaN           497,536                  NaN   \n",
      "19                  NaN           498,536                  NaN   \n",
      "20                  NaN           513,448                  NaN   \n",
      "21                  NaN           531,141                  NaN   \n",
      "22                  NaN           548,830                  NaN   \n",
      "23                  NaN           556,276                  NaN   \n",
      "24                  NaN           568,805                  NaN   \n",
      "25                  NaN           589,367                  NaN   \n",
      "26                  NaN           629,562                  NaN   \n",
      "27                  NaN           662,541                  NaN   \n",
      "28                  NaN           675,649                  NaN   \n",
      "29                  NaN           679,684                  NaN   \n",
      "...                 ...               ...                  ...   \n",
      "8556                NaN           456,130                  NaN   \n",
      "8557                NaN           489,797                  NaN   \n",
      "8558                NaN           494,073                  NaN   \n",
      "8559                NaN           533,249                  NaN   \n",
      "8560                NaN           560,051                  NaN   \n",
      "8561                NaN           565,308                  NaN   \n",
      "8562                NaN           570,304                  NaN   \n",
      "8563                NaN           591,576                  NaN   \n",
      "8564                NaN           594,086                  NaN   \n",
      "8565                NaN           595,111                  NaN   \n",
      "8566                NaN           602,407                  NaN   \n",
      "8567                NaN           608,496                  NaN   \n",
      "8568                NaN           612,135                  NaN   \n",
      "8569                NaN           612,906                  NaN   \n",
      "8570                NaN           625,162                  NaN   \n",
      "8571                NaN           636,980                  NaN   \n",
      "8572                NaN           639,689                  NaN   \n",
      "8573                NaN           641,240                  NaN   \n",
      "8574                NaN           651,516                  NaN   \n",
      "8575                NaN           655,131                  NaN   \n",
      "8576                NaN           658,733                  NaN   \n",
      "8577                NaN           662,539                  NaN   \n",
      "8578                NaN           664,412                  NaN   \n",
      "8579                NaN           672,933                  NaN   \n",
      "8580                NaN           673,373                  NaN   \n",
      "8581                NaN           674,087                  NaN   \n",
      "8582                NaN           674,208                  NaN   \n",
      "8583                NaN           676,131                  NaN   \n",
      "8584                NaN           690,809                  NaN   \n",
      "8585                NaN           703,118                  NaN   \n",
      "\n",
      "                                             Categories  \\\n",
      "0                             E-Commerce, Internet, Pet   \n",
      "1                             Fashion, Internet, Retail   \n",
      "2                                   Consulting, Finance   \n",
      "3                                    E-Commerce, Retail   \n",
      "4                                         iOS, Software   \n",
      "5                        E-Commerce, Internet, Software   \n",
      "6         Information Technology, Marketing, Navigation   \n",
      "7                                   Enterprise Software   \n",
      "8                                            E-Commerce   \n",
      "9                                                   NaN   \n",
      "10         Advice, Information Services, Product Search   \n",
      "11                              E-Commerce, Health Care   \n",
      "12          B2B, Business Development, Trading Platform   \n",
      "13       E-Commerce, Internet, Shopping, Social Network   \n",
      "14       Information Technology, Internet, Social Media   \n",
      "15                                            Lifestyle   \n",
      "16                               Information Technology   \n",
      "17    Business Development, Information Technology, ...   \n",
      "18                   Animation, Content, Graphic Design   \n",
      "19    Consumer Electronics, Electronics, Information...   \n",
      "20                     Information Technology, Software   \n",
      "21               B2B, Business Intelligence, E-Commerce   \n",
      "22                                        B2B, Internet   \n",
      "23      CRM, Hardware, Information Technology, Software   \n",
      "24                              B2B, E-Commerce, Retail   \n",
      "25                                             Software   \n",
      "26             Internet, Internet of Things, iOS, Video   \n",
      "27    Information Technology, iOS, Mobile, Telecommu...   \n",
      "28    CRM, Information Technology, Internet, Interne...   \n",
      "29                                                  NaN   \n",
      "...                                                 ...   \n",
      "8556               Internet, Service Industry, Software   \n",
      "8557                               Consulting, Internet   \n",
      "8558                          Developer Tools, Software   \n",
      "8559                        Information Technology, iOS   \n",
      "8560                                           Internet   \n",
      "8561                                  Bitcoin, Internet   \n",
      "8562                                                NaN   \n",
      "8563                      Finance, Information Services   \n",
      "8564            Banking, Financial Services, Industrial   \n",
      "8565         Biotechnology, Marketplace, Online Portals   \n",
      "8566                                    Human Resources   \n",
      "8567           Health Care, Health Diagnostics, Medical   \n",
      "8568               E-Commerce, Infrastructure, Internet   \n",
      "8569                  Computer, Manufacturing, Software   \n",
      "8570                            Medical, Medical Device   \n",
      "8571             Biotechnology, Medical, Medical Device   \n",
      "8572                                                NaN   \n",
      "8573         Biotechnology, Health Care, Pharmaceutical   \n",
      "8574               Billing, Finance, Financial Services   \n",
      "8575      Health Care, Information Technology, Internet   \n",
      "8576                                                NaN   \n",
      "8577                                        Electronics   \n",
      "8578                                                NaN   \n",
      "8579                                         Consulting   \n",
      "8580                                                NaN   \n",
      "8581                                          Education   \n",
      "8582               Electronics, Manufacturing, Software   \n",
      "8583                                      Manufacturing   \n",
      "8584                                                NaN   \n",
      "8585                   Freelance, Internet, Marketplace   \n",
      "\n",
      "                                        Category Groups Closed Date  \\\n",
      "0     Commerce and Shopping, Community and Lifestyle...    6-Nov-00   \n",
      "1     Clothing and Apparel, Commerce and Shopping, D...      May-00   \n",
      "2                                    Financial Services   11-Nov-00   \n",
      "3                                 Commerce and Shopping   30-Sep-00   \n",
      "4                           Mobile, Platforms, Software        2000   \n",
      "5     Commerce and Shopping, Internet Services, Soft...        2000   \n",
      "6     Information Technology, Navigation and Mapping...      Dec-00   \n",
      "7                                              Software    1-Jan-00   \n",
      "8                                 Commerce and Shopping    1-Apr-00   \n",
      "9                                                   NaN    6-Jun-00   \n",
      "10    Information Technology, Internet Services, Med...    2-Oct-00   \n",
      "11                   Commerce and Shopping, Health Care    1-Dec-00   \n",
      "12          Financial Services, Lending and Investments    1-Nov-00   \n",
      "13             Commerce and Shopping, Internet Services   13-Dec-00   \n",
      "14    Information Technology, Internet Services, Med...    1-Jan-00   \n",
      "15                              Community and Lifestyle      Oct-00   \n",
      "16                               Information Technology    1-Oct-00   \n",
      "17                       Design, Information Technology    1-Oct-00   \n",
      "18               Design, Media and Entertainment, Video        2000   \n",
      "19    Consumer Electronics, Hardware, Information Te...   29-Jul-00   \n",
      "20                     Information Technology, Software      Jan-00   \n",
      "21            Commerce and Shopping, Data and Analytics      Dec-00   \n",
      "22                                    Internet Services   19-Sep-00   \n",
      "23    Hardware, Information Technology, Sales and Ma...        2000   \n",
      "24                                Commerce and Shopping      May-00   \n",
      "25                                             Software        2000   \n",
      "26    Internet Services, Media and Entertainment, Mo...      Mar-00   \n",
      "27    Hardware, Information Technology, Mobile, Plat...    1-Jan-00   \n",
      "28    Information Technology, Internet Services, Sal...    1-Jan-00   \n",
      "29                                                  NaN        2000   \n",
      "...                                                 ...         ...   \n",
      "8556                        Internet Services, Software        2019   \n",
      "8557                                  Internet Services    2-Mar-19   \n",
      "8558                                           Software        2019   \n",
      "8559  Information Technology, Mobile, Platforms, Sof...    1-Feb-19   \n",
      "8560                                  Internet Services        2019   \n",
      "8561  Financial Services, Internet Services, Payment...    6-Apr-19   \n",
      "8562                                                NaN   12-Feb-19   \n",
      "8563         Financial Services, Information Technology        2019   \n",
      "8564        Financial Services, Lending and Investments        2019   \n",
      "8565  Biotechnology, Commerce and Shopping, Internet...        2019   \n",
      "8566                                                NaN        2019   \n",
      "8567                                        Health Care        2019   \n",
      "8568           Commerce and Shopping, Internet Services        2019   \n",
      "8569  Consumer Electronics, Hardware, Manufacturing,...        2019   \n",
      "8570                                        Health Care        2019   \n",
      "8571  Biotechnology, Health Care, Science and Engine...        2019   \n",
      "8572                                                NaN   31-Mar-19   \n",
      "8573  Biotechnology, Health Care, Science and Engine...        2019   \n",
      "8574             Financial Services, Payments, Software        2019   \n",
      "8575  Health Care, Information Technology, Internet ...        2019   \n",
      "8576                                                NaN        2019   \n",
      "8577                     Consumer Electronics, Hardware        2019   \n",
      "8578                                                NaN    1-Jan-19   \n",
      "8579                                                NaN        2019   \n",
      "8580                                                NaN        2019   \n",
      "8581                                          Education        2019   \n",
      "8582  Consumer Electronics, Hardware, Manufacturing,...        2019   \n",
      "8583                                      Manufacturing        2019   \n",
      "8584                                                NaN        2019   \n",
      "8585  Commerce and Shopping, Internet Services, Prof...        2019   \n",
      "\n",
      "      Closed Date Year          ...           Page Views / Visit Growth  \\\n",
      "0                 2000          ...                             -29.23%   \n",
      "1                 2000          ...                                 NaN   \n",
      "2                 2000          ...                                 NaN   \n",
      "3                 2000          ...                                 NaN   \n",
      "4                 2000          ...                                 NaN   \n",
      "5                 2000          ...                                 NaN   \n",
      "6                 2000          ...                                 NaN   \n",
      "7                 2000          ...                             -12.14%   \n",
      "8                 2000          ...                                  0%   \n",
      "9                 2000          ...                               6.33%   \n",
      "10                2000          ...                                 NaN   \n",
      "11                2000          ...                                 NaN   \n",
      "12                2000          ...                                 NaN   \n",
      "13                2000          ...                                 NaN   \n",
      "14                2000          ...                                 NaN   \n",
      "15                2000          ...                                 NaN   \n",
      "16                2000          ...                                 NaN   \n",
      "17                2000          ...                                 NaN   \n",
      "18                2000          ...                                 NaN   \n",
      "19                2000          ...                                 NaN   \n",
      "20                2000          ...                                 NaN   \n",
      "21                2000          ...                                 NaN   \n",
      "22                2000          ...                                 NaN   \n",
      "23                2000          ...                                 NaN   \n",
      "24                2000          ...                                 NaN   \n",
      "25                2000          ...                                 NaN   \n",
      "26                2000          ...                                 NaN   \n",
      "27                2000          ...                                 NaN   \n",
      "28                2000          ...                                 NaN   \n",
      "29                2000          ...                                 NaN   \n",
      "...                ...          ...                                 ...   \n",
      "8556              2019          ...                                 NaN   \n",
      "8557              2019          ...                                 NaN   \n",
      "8558              2019          ...                                 NaN   \n",
      "8559              2019          ...                                 NaN   \n",
      "8560              2019          ...                                 NaN   \n",
      "8561              2019          ...                                 NaN   \n",
      "8562              2019          ...                                 NaN   \n",
      "8563              2019          ...                                 NaN   \n",
      "8564              2019          ...                                 NaN   \n",
      "8565              2019          ...                                 NaN   \n",
      "8566              2019          ...                                 NaN   \n",
      "8567              2019          ...                                 NaN   \n",
      "8568              2019          ...                                 NaN   \n",
      "8569              2019          ...                                 NaN   \n",
      "8570              2019          ...                                 NaN   \n",
      "8571              2019          ...                                 NaN   \n",
      "8572              2019          ...                                 NaN   \n",
      "8573              2019          ...                                 NaN   \n",
      "8574              2019          ...                                 NaN   \n",
      "8575              2019          ...                                 NaN   \n",
      "8576              2019          ...                                 NaN   \n",
      "8577              2019          ...                                 NaN   \n",
      "8578              2019          ...                                 NaN   \n",
      "8579              2019          ...                                 NaN   \n",
      "8580              2019          ...                                 NaN   \n",
      "8581              2019          ...                                 NaN   \n",
      "8582              2019          ...                                 NaN   \n",
      "8583              2019          ...                                 NaN   \n",
      "8584              2019          ...                                 NaN   \n",
      "8585              2019          ...                                 NaN   \n",
      "\n",
      "     Patents Granted                                    Top 5 Investors  \\\n",
      "0                NaN  Comcast Ventures, ETF Group, HWVP, Hummer Winb...   \n",
      "1                NaN                                                NaN   \n",
      "2                NaN                                                NaN   \n",
      "3                NaN                                          Telemundo   \n",
      "4                NaN                                                NaN   \n",
      "5                NaN                                                NaN   \n",
      "6                NaN  Acon Ventures, Primedia Ventures, Trusted Medi...   \n",
      "7                NaN                                                NaN   \n",
      "8                NaN                                                NaN   \n",
      "9                NaN                                                NaN   \n",
      "10               NaN  Amicus Capital Partners, Bessemer Venture Part...   \n",
      "11               NaN                                                NaN   \n",
      "12               NaN                             Comdisco Ventures, TCV   \n",
      "13               NaN         APV Technology Partners, Dominion Ventures   \n",
      "14               NaN                                                NaN   \n",
      "15               NaN                                                NaN   \n",
      "16               NaN  David Hayden, Jon Staenberg, Josh Mailman, Pel...   \n",
      "17               NaN                                    Hewlett-Packard   \n",
      "18               NaN  Freedom Communications, Media Technology Ventu...   \n",
      "19               NaN                                                NaN   \n",
      "20               NaN                                                NaN   \n",
      "21               NaN  Battery Ventures, Boston Millennia Partners, C...   \n",
      "22               NaN  Akamai Technologies, Kevin Wall, Los Angeles C...   \n",
      "23               NaN                                                NaN   \n",
      "24               NaN                                                NaN   \n",
      "25               NaN                                              Cisco   \n",
      "26               NaN                                                NaN   \n",
      "27               NaN                                                NaN   \n",
      "28               NaN                                                NaN   \n",
      "29               NaN                                                NaN   \n",
      "...              ...                                                ...   \n",
      "8556             NaN                                    Dipsea Ventures   \n",
      "8557             NaN                                                NaN   \n",
      "8558             NaN                                                NaN   \n",
      "8559             NaN                                                NaN   \n",
      "8560             NaN                            Kohlberg Kravis Roberts   \n",
      "8561             NaN                                                NaN   \n",
      "8562             NaN                                                NaN   \n",
      "8563             NaN                      Waterside Capital Corporation   \n",
      "8564             NaN                                               GTCR   \n",
      "8565             NaN                                                NaN   \n",
      "8566             NaN                      National Institutes of Health   \n",
      "8567             NaN                                Three Arch Partners   \n",
      "8568             NaN               DB Capital Ventures, Sandler Capital   \n",
      "8569             NaN                                            NYSERDA   \n",
      "8570             NaN                                                NaN   \n",
      "8571             NaN                                                NaN   \n",
      "8572             NaN                                                NaN   \n",
      "8573             NaN  CEI Ventures, Maine Technology Institute, Main...   \n",
      "8574             NaN                  Behrman Capital, Quadrangle Group   \n",
      "8575             NaN  Affinity Capital Management, Delphi Ventures, ...   \n",
      "8576             NaN                                                NaN   \n",
      "8577             NaN                                            NYSERDA   \n",
      "8578             NaN                                                NaN   \n",
      "8579             NaN                                            NYSERDA   \n",
      "8580             NaN                                            NYSERDA   \n",
      "8581             NaN                                            NYSERDA   \n",
      "8582             NaN                                            NYSERDA   \n",
      "8583             NaN                                            NYSERDA   \n",
      "8584             NaN                                            NYSERDA   \n",
      "8585             NaN                                                NaN   \n",
      "\n",
      "     Total Equity Funding Amount Total Funding Amount Trademarks Registered  \\\n",
      "0                   $15,000,000          $15,000,000                    NaN   \n",
      "1                            NaN                  NaN                   NaN   \n",
      "2                            NaN                  NaN                   NaN   \n",
      "3                            NaN                  NaN                   NaN   \n",
      "4                            NaN                  NaN                   NaN   \n",
      "5                            NaN                  NaN                   NaN   \n",
      "6                   $15,000,000          $15,000,000                    NaN   \n",
      "7                            NaN                  NaN                   NaN   \n",
      "8                    $6,000,000           $6,000,000                    NaN   \n",
      "9                            NaN                  NaN                   NaN   \n",
      "10                  $16,000,000          $16,000,000                    NaN   \n",
      "11                           NaN                  NaN                   NaN   \n",
      "12                  $18,900,000          $18,900,000                    NaN   \n",
      "13                           NaN                  NaN                   NaN   \n",
      "14                           NaN                  NaN                   NaN   \n",
      "15                           NaN                  NaN                   NaN   \n",
      "16                   $3,500,000           $3,500,000                    NaN   \n",
      "17                           NaN         $25,000,000                    NaN   \n",
      "18                   $8,500,000           $8,500,000                    NaN   \n",
      "19                           NaN                  NaN                   NaN   \n",
      "20                           NaN                  NaN                   NaN   \n",
      "21                  $21,000,000          $21,000,000                    NaN   \n",
      "22                   $1,700,000           $1,700,000                    NaN   \n",
      "23                           NaN                  NaN                   NaN   \n",
      "24                           NaN                  NaN                   NaN   \n",
      "25                           NaN                  NaN                   NaN   \n",
      "26                           NaN                  NaN                   NaN   \n",
      "27                           NaN                  NaN                   NaN   \n",
      "28                           NaN                  NaN                   NaN   \n",
      "29                           NaN                  NaN                   NaN   \n",
      "...                          ...                  ...                   ...   \n",
      "8556                 $1,500,000           $1,500,000                    NaN   \n",
      "8557                         NaN                  NaN                   NaN   \n",
      "8558                   $100,000             $100,000                    NaN   \n",
      "8559                         NaN                  NaN                   NaN   \n",
      "8560                 $3,000,000           $3,000,000                    NaN   \n",
      "8561                         NaN                  NaN                   NaN   \n",
      "8562                         NaN                  NaN                   NaN   \n",
      "8563                 $1,500,000           $1,500,000                    NaN   \n",
      "8564               $100,000,000         $100,000,000                    NaN   \n",
      "8565                 $2,327,600           $2,327,600                    NaN   \n",
      "8566                         NaN            $750,000                    NaN   \n",
      "8567                $15,000,000          $15,000,000                    NaN   \n",
      "8568                $75,000,000          $75,000,000                    NaN   \n",
      "8569                         NaN            $450,000                    NaN   \n",
      "8570                    $25,000              $25,000                    NaN   \n",
      "8571                 $4,000,000           $4,000,000                    NaN   \n",
      "8572                         NaN                  NaN                   NaN   \n",
      "8573                 $1,150,000           $1,150,000                    NaN   \n",
      "8574                $30,000,000          $30,000,000                    NaN   \n",
      "8575                 $4,000,000           $4,000,000                    NaN   \n",
      "8576                         NaN                  NaN                   NaN   \n",
      "8577                         NaN            $149,990                    NaN   \n",
      "8578                         NaN                  NaN                   NaN   \n",
      "8579                         NaN          $1,079,978                    NaN   \n",
      "8580                         NaN             $59,271                    NaN   \n",
      "8581                         NaN            $196,244                    NaN   \n",
      "8582                         NaN          $1,502,548                    NaN   \n",
      "8583                         NaN             $96,789                    NaN   \n",
      "8584                         NaN             $22,367                    NaN   \n",
      "8585                         NaN                  NaN                   NaN   \n",
      "\n",
      "     Visit Duration Visit Duration Growth                            Website  \\\n",
      "0                 0               -97.34%                       www.pets.com   \n",
      "1               NaN                   NaN                        www.boo.com   \n",
      "2               NaN                   NaN                                NaN   \n",
      "3               NaN                   NaN                                NaN   \n",
      "4               NaN                   NaN                                NaN   \n",
      "5               NaN                   NaN                                NaN   \n",
      "6               NaN                   NaN             www.stickynetworks.com   \n",
      "7                 6                   NaN                    www.pazkar.com/   \n",
      "8               NaN                   NaN                  www.cybershop.com   \n",
      "9               102                 9.18%                         www.xx.com   \n",
      "10              NaN                   NaN               www.productopia.com/   \n",
      "11              NaN                   NaN                                NaN   \n",
      "12              NaN                   NaN                  www.esociety.com/   \n",
      "13              NaN                   NaN                www.pointclick.com/   \n",
      "14              NaN                   NaN                    www.emanage.com   \n",
      "15              NaN                   NaN             www.brody.org/alcheme/   \n",
      "16              NaN                   NaN                                NaN   \n",
      "17              NaN                   NaN                www.logicstream.net   \n",
      "18              NaN                   NaN                   www.dotcomix.com   \n",
      "19              NaN                   NaN                                NaN   \n",
      "20              NaN                   NaN                                NaN   \n",
      "21              NaN                   NaN                                NaN   \n",
      "22              NaN                   NaN                                NaN   \n",
      "23              NaN                   NaN                                NaN   \n",
      "24              NaN                   NaN                                NaN   \n",
      "25              NaN                   NaN                    www.noochee.com   \n",
      "26              NaN                   NaN                                NaN   \n",
      "27              NaN                   NaN                                NaN   \n",
      "28              NaN                   NaN                                NaN   \n",
      "29              NaN                   NaN                                NaN   \n",
      "...             ...                   ...                                ...   \n",
      "8556            NaN                   NaN                    www.celosis.com   \n",
      "8557            NaN                   NaN                   legaldocx.co.za/   \n",
      "8558            NaN                   NaN                   www.spryhive.com   \n",
      "8559            NaN                   NaN                                NaN   \n",
      "8560            NaN                   NaN                   www.edynamis.com   \n",
      "8561            NaN                   NaN             www.bitcoinvalues.net/   \n",
      "8562            NaN                   NaN              www.slangbusters.com/   \n",
      "8563            NaN                   NaN                                NaN   \n",
      "8564            NaN                   NaN                                NaN   \n",
      "8565            NaN                   NaN                                NaN   \n",
      "8566            NaN                   NaN                                NaN   \n",
      "8567            NaN                   NaN                                NaN   \n",
      "8568            NaN                   NaN                                NaN   \n",
      "8569            NaN                   NaN                                NaN   \n",
      "8570            NaN                   NaN                                NaN   \n",
      "8571            NaN                   NaN                                NaN   \n",
      "8572            NaN                   NaN                                NaN   \n",
      "8573            NaN                   NaN                                NaN   \n",
      "8574            NaN                   NaN                                NaN   \n",
      "8575            NaN                   NaN                    www.icaninc.net   \n",
      "8576            NaN                   NaN                                NaN   \n",
      "8577            NaN                   NaN             www.electriclaunch.com   \n",
      "8578            481                   NaN  airporttransfersmelbourne.com.au/   \n",
      "8579            NaN                   NaN                                NaN   \n",
      "8580            NaN                   NaN                                NaN   \n",
      "8581            NaN                   NaN                                NaN   \n",
      "8582            NaN                   NaN                                NaN   \n",
      "8583            NaN                   NaN                                NaN   \n",
      "8584            NaN                   NaN                                NaN   \n",
      "8585            NaN                   NaN                                NaN   \n",
      "\n",
      "        Organization Name.1  \n",
      "0                  Pets.com  \n",
      "1                   boo.com  \n",
      "2        LEHNER INVESTMENTS  \n",
      "3               Espanol.com  \n",
      "4                   Website  \n",
      "5     Harbinger Corporation  \n",
      "6           Sticky Networks  \n",
      "7                    Pazkar  \n",
      "8                 Cybershop  \n",
      "9                        xx  \n",
      "10              Productopia  \n",
      "11             Promedix.com  \n",
      "12                 eSociety  \n",
      "13           PointClick.com  \n",
      "14              eManage.com  \n",
      "15             AlcheMe, Inc  \n",
      "16              Red Gorilla  \n",
      "17              LogicStream  \n",
      "18                 DotComix  \n",
      "19     Genias Software GmbH  \n",
      "20                  AdForce  \n",
      "21                 EC Cubed  \n",
      "22               eCitydeals  \n",
      "23               Unidata 80  \n",
      "24                iMark.com  \n",
      "25        Noochee Solutions  \n",
      "26               RivalWorks  \n",
      "27          Veronica Mobile  \n",
      "28               MyPersonal  \n",
      "29     Catfish Express, LLC  \n",
      "...                     ...  \n",
      "8556                    NaN  \n",
      "8557                    NaN  \n",
      "8558                    NaN  \n",
      "8559                    NaN  \n",
      "8560                    NaN  \n",
      "8561                    NaN  \n",
      "8562                    NaN  \n",
      "8563                    NaN  \n",
      "8564                    NaN  \n",
      "8565                    NaN  \n",
      "8566                    NaN  \n",
      "8567                    NaN  \n",
      "8568                    NaN  \n",
      "8569                    NaN  \n",
      "8570                    NaN  \n",
      "8571                    NaN  \n",
      "8572                    NaN  \n",
      "8573                    NaN  \n",
      "8574                    NaN  \n",
      "8575                    NaN  \n",
      "8576                    NaN  \n",
      "8577                    NaN  \n",
      "8578                    NaN  \n",
      "8579                    NaN  \n",
      "8580                    NaN  \n",
      "8581                    NaN  \n",
      "8582                    NaN  \n",
      "8583                    NaN  \n",
      "8584                    NaN  \n",
      "8585                    NaN  \n",
      "\n",
      "[8586 rows x 50 columns]\n"
     ]
    }
   ],
   "source": [
    "# Load compiled dataframe (see Compile_data_files.ipynb)\n",
    "df_all = pd.read_csv('Failed_StartUps_2000_2019.csv', encoding='utf-8').drop(['Unnamed: 0'], axis=1)\n",
    "print df_all\n",
    "df_all.columns\n",
    "df = df_all.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>Acquisition Status</th>\n",
       "      <th>Average Visits (6 months)</th>\n",
       "      <th>Bounce Rate</th>\n",
       "      <th>Bounce Rate Growth</th>\n",
       "      <th>CB Rank (Company)</th>\n",
       "      <th>CEO Approval Rating</th>\n",
       "      <th>Categories</th>\n",
       "      <th>Category Groups</th>\n",
       "      <th>Closed Date</th>\n",
       "      <th>Closed Date Year</th>\n",
       "      <th>...</th>\n",
       "      <th>Page Views / Visit Growth</th>\n",
       "      <th>Patents Granted</th>\n",
       "      <th>Top 5 Investors</th>\n",
       "      <th>Total Equity Funding Amount</th>\n",
       "      <th>Total Funding Amount</th>\n",
       "      <th>Trademarks Registered</th>\n",
       "      <th>Visit Duration</th>\n",
       "      <th>Visit Duration Growth</th>\n",
       "      <th>Website</th>\n",
       "      <th>Organization Name.1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>11,007.44</td>\n",
       "      <td>56.51%</td>\n",
       "      <td>37.61%</td>\n",
       "      <td>100,696</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E-Commerce, Internet, Pet</td>\n",
       "      <td>Commerce and Shopping, Community and Lifestyle...</td>\n",
       "      <td>6-Nov-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>-29.23%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comcast Ventures, ETF Group, HWVP, Hummer Winb...</td>\n",
       "      <td>$15,000,000</td>\n",
       "      <td>15000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>-97.34%</td>\n",
       "      <td>www.pets.com</td>\n",
       "      <td>Pets.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>182,343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fashion, Internet, Retail</td>\n",
       "      <td>Clothing and Apparel, Commerce and Shopping, D...</td>\n",
       "      <td>May-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.boo.com</td>\n",
       "      <td>boo.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>184,093</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Consulting, Finance</td>\n",
       "      <td>Financial Services</td>\n",
       "      <td>11-Nov-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LEHNER INVESTMENTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190,098</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E-Commerce, Retail</td>\n",
       "      <td>Commerce and Shopping</td>\n",
       "      <td>30-Sep-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Telemundo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Espanol.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>203,910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>iOS, Software</td>\n",
       "      <td>Mobile, Platforms, Software</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Website</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Made Acquisitions</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>252,147</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E-Commerce, Internet, Software</td>\n",
       "      <td>Commerce and Shopping, Internet Services, Soft...</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Harbinger Corporation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>266,094</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Information Technology, Marketing, Navigation</td>\n",
       "      <td>Information Technology, Navigation and Mapping...</td>\n",
       "      <td>Dec-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Acon Ventures, Primedia Ventures, Trusted Medi...</td>\n",
       "      <td>$15,000,000</td>\n",
       "      <td>15000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.stickynetworks.com</td>\n",
       "      <td>Sticky Networks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>631.51</td>\n",
       "      <td>48.92%</td>\n",
       "      <td>-12.07%</td>\n",
       "      <td>322,796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Enterprise Software</td>\n",
       "      <td>Software</td>\n",
       "      <td>1-Jan-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>-12.14%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.pazkar.com/</td>\n",
       "      <td>Pazkar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
       "      <td>761.65</td>\n",
       "      <td>100%</td>\n",
       "      <td>9.87%</td>\n",
       "      <td>333,937</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E-Commerce</td>\n",
       "      <td>Commerce and Shopping</td>\n",
       "      <td>1-Apr-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>0%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$6,000,000</td>\n",
       "      <td>6000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.cybershop.com</td>\n",
       "      <td>Cybershop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NaN</td>\n",
       "      <td>431,494.95</td>\n",
       "      <td>46.09%</td>\n",
       "      <td>-5.30%</td>\n",
       "      <td>343,572</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6-Jun-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.33%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102</td>\n",
       "      <td>9.18%</td>\n",
       "      <td>www.xx.com</td>\n",
       "      <td>xx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>353,128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Advice, Information Services, Product Search</td>\n",
       "      <td>Information Technology, Internet Services, Med...</td>\n",
       "      <td>2-Oct-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Amicus Capital Partners, Bessemer Venture Part...</td>\n",
       "      <td>$16,000,000</td>\n",
       "      <td>16000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.productopia.com/</td>\n",
       "      <td>Productopia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Was Acquired</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>356,551</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E-Commerce, Health Care</td>\n",
       "      <td>Commerce and Shopping, Health Care</td>\n",
       "      <td>1-Dec-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Promedix.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>415,824</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B2B, Business Development, Trading Platform</td>\n",
       "      <td>Financial Services, Lending and Investments</td>\n",
       "      <td>1-Nov-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comdisco Ventures, TCV</td>\n",
       "      <td>$18,900,000</td>\n",
       "      <td>18900000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.esociety.com/</td>\n",
       "      <td>eSociety</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>NaN</td>\n",
       "      <td>802.61</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>434,136</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E-Commerce, Internet, Shopping, Social Network</td>\n",
       "      <td>Commerce and Shopping, Internet Services</td>\n",
       "      <td>13-Dec-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>APV Technology Partners, Dominion Ventures</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.pointclick.com/</td>\n",
       "      <td>PointClick.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>436,051</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Information Technology, Internet, Social Media</td>\n",
       "      <td>Information Technology, Internet Services, Med...</td>\n",
       "      <td>1-Jan-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.emanage.com</td>\n",
       "      <td>eManage.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>35.28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>439,680</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lifestyle</td>\n",
       "      <td>Community and Lifestyle</td>\n",
       "      <td>Oct-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.brody.org/alcheme/</td>\n",
       "      <td>AlcheMe, Inc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>451,724</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Information Technology</td>\n",
       "      <td>Information Technology</td>\n",
       "      <td>1-Oct-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>David Hayden, Jon Staenberg, Josh Mailman, Pel...</td>\n",
       "      <td>$3,500,000</td>\n",
       "      <td>3500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Red Gorilla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>497,355</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Business Development, Information Technology, ...</td>\n",
       "      <td>Design, Information Technology</td>\n",
       "      <td>1-Oct-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hewlett-Packard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.logicstream.net</td>\n",
       "      <td>LogicStream</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>497,536</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Animation, Content, Graphic Design</td>\n",
       "      <td>Design, Media and Entertainment, Video</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Freedom Communications, Media Technology Ventu...</td>\n",
       "      <td>$8,500,000</td>\n",
       "      <td>8500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.dotcomix.com</td>\n",
       "      <td>DotComix</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>498,536</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Consumer Electronics, Electronics, Information...</td>\n",
       "      <td>Consumer Electronics, Hardware, Information Te...</td>\n",
       "      <td>29-Jul-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Genias Software GmbH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>513,448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Information Technology, Software</td>\n",
       "      <td>Information Technology, Software</td>\n",
       "      <td>Jan-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AdForce</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>531,141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B2B, Business Intelligence, E-Commerce</td>\n",
       "      <td>Commerce and Shopping, Data and Analytics</td>\n",
       "      <td>Dec-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Battery Ventures, Boston Millennia Partners, C...</td>\n",
       "      <td>$21,000,000</td>\n",
       "      <td>21000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EC Cubed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>548,830</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B2B, Internet</td>\n",
       "      <td>Internet Services</td>\n",
       "      <td>19-Sep-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Akamai Technologies, Kevin Wall, Los Angeles C...</td>\n",
       "      <td>$1,700,000</td>\n",
       "      <td>1700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>eCitydeals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Was Acquired</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>556,276</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CRM, Hardware, Information Technology, Software</td>\n",
       "      <td>Hardware, Information Technology, Sales and Ma...</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Unidata 80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>568,805</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B2B, E-Commerce, Retail</td>\n",
       "      <td>Commerce and Shopping</td>\n",
       "      <td>May-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>iMark.com</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>589,367</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Software</td>\n",
       "      <td>Software</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Cisco</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.noochee.com</td>\n",
       "      <td>Noochee Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Was Acquired</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>629,562</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Internet, Internet of Things, iOS, Video</td>\n",
       "      <td>Internet Services, Media and Entertainment, Mo...</td>\n",
       "      <td>Mar-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>RivalWorks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>662,541</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Information Technology, iOS, Mobile, Telecommu...</td>\n",
       "      <td>Hardware, Information Technology, Mobile, Plat...</td>\n",
       "      <td>1-Jan-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Veronica Mobile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Was Acquired</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>675,649</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CRM, Information Technology, Internet, Interne...</td>\n",
       "      <td>Information Technology, Internet Services, Sal...</td>\n",
       "      <td>1-Jan-00</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MyPersonal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>679,684</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Catfish Express, LLC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8556</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>456,130</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Internet, Service Industry, Software</td>\n",
       "      <td>Internet Services, Software</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dipsea Ventures</td>\n",
       "      <td>$1,500,000</td>\n",
       "      <td>1500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.celosis.com</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8557</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>489,797</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Consulting, Internet</td>\n",
       "      <td>Internet Services</td>\n",
       "      <td>2-Mar-19</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>legaldocx.co.za/</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8558</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>494,073</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Developer Tools, Software</td>\n",
       "      <td>Software</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$100,000</td>\n",
       "      <td>100000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.spryhive.com</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8559</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>533,249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Information Technology, iOS</td>\n",
       "      <td>Information Technology, Mobile, Platforms, Sof...</td>\n",
       "      <td>1-Feb-19</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8560</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>560,051</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Internet</td>\n",
       "      <td>Internet Services</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kohlberg Kravis Roberts</td>\n",
       "      <td>$3,000,000</td>\n",
       "      <td>3000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.edynamis.com</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8561</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>565,308</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bitcoin, Internet</td>\n",
       "      <td>Financial Services, Internet Services, Payment...</td>\n",
       "      <td>6-Apr-19</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.bitcoinvalues.net/</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8562</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>570,304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12-Feb-19</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.slangbusters.com/</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8563</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>591,576</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Finance, Information Services</td>\n",
       "      <td>Financial Services, Information Technology</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Waterside Capital Corporation</td>\n",
       "      <td>$1,500,000</td>\n",
       "      <td>1500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8564</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>594,086</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Banking, Financial Services, Industrial</td>\n",
       "      <td>Financial Services, Lending and Investments</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GTCR</td>\n",
       "      <td>$100,000,000</td>\n",
       "      <td>100000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8565</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>595,111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Biotechnology, Marketplace, Online Portals</td>\n",
       "      <td>Biotechnology, Commerce and Shopping, Internet...</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$2,327,600</td>\n",
       "      <td>2327600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8566</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>602,407</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Human Resources</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>National Institutes of Health</td>\n",
       "      <td>NaN</td>\n",
       "      <td>750000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8567</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>608,496</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Health Care, Health Diagnostics, Medical</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Three Arch Partners</td>\n",
       "      <td>$15,000,000</td>\n",
       "      <td>15000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8568</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>612,135</td>\n",
       "      <td>NaN</td>\n",
       "      <td>E-Commerce, Infrastructure, Internet</td>\n",
       "      <td>Commerce and Shopping, Internet Services</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DB Capital Ventures, Sandler Capital</td>\n",
       "      <td>$75,000,000</td>\n",
       "      <td>75000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8569</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>612,906</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Computer, Manufacturing, Software</td>\n",
       "      <td>Consumer Electronics, Hardware, Manufacturing,...</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYSERDA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>450000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8570</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>625,162</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Medical, Medical Device</td>\n",
       "      <td>Health Care</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$25,000</td>\n",
       "      <td>25000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8571</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>636,980</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Biotechnology, Medical, Medical Device</td>\n",
       "      <td>Biotechnology, Health Care, Science and Engine...</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$4,000,000</td>\n",
       "      <td>4000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8572</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>639,689</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31-Mar-19</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8573</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>641,240</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Biotechnology, Health Care, Pharmaceutical</td>\n",
       "      <td>Biotechnology, Health Care, Science and Engine...</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>CEI Ventures, Maine Technology Institute, Main...</td>\n",
       "      <td>$1,150,000</td>\n",
       "      <td>1150000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8574</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>651,516</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Billing, Finance, Financial Services</td>\n",
       "      <td>Financial Services, Payments, Software</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Behrman Capital, Quadrangle Group</td>\n",
       "      <td>$30,000,000</td>\n",
       "      <td>30000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8575</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>655,131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Health Care, Information Technology, Internet</td>\n",
       "      <td>Health Care, Information Technology, Internet ...</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Affinity Capital Management, Delphi Ventures, ...</td>\n",
       "      <td>$4,000,000</td>\n",
       "      <td>4000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.icaninc.net</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8576</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>658,733</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8577</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>662,539</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Electronics</td>\n",
       "      <td>Consumer Electronics, Hardware</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYSERDA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>149990</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>www.electriclaunch.com</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8578</th>\n",
       "      <td>NaN</td>\n",
       "      <td>84.14</td>\n",
       "      <td>50.63%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>664,412</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1-Jan-19</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>481</td>\n",
       "      <td>NaN</td>\n",
       "      <td>airporttransfersmelbourne.com.au/</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8579</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>672,933</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Consulting</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYSERDA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1079978</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8580</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>673,373</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYSERDA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59271</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8581</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>674,087</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Education</td>\n",
       "      <td>Education</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYSERDA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>196244</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8582</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>674,208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Electronics, Manufacturing, Software</td>\n",
       "      <td>Consumer Electronics, Hardware, Manufacturing,...</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYSERDA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1502548</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8583</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>676,131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Manufacturing</td>\n",
       "      <td>Manufacturing</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYSERDA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96789</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8584</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>690,809</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYSERDA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22367</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8585</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>703,118</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Freelance, Internet, Marketplace</td>\n",
       "      <td>Commerce and Shopping, Internet Services, Prof...</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8586 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Acquisition Status Average Visits (6 months) Bounce Rate  \\\n",
       "0                   NaN                 11,007.44      56.51%   \n",
       "1                   NaN                       NaN         NaN   \n",
       "2                   NaN                       NaN         NaN   \n",
       "3                   NaN                       NaN         NaN   \n",
       "4                   NaN                       NaN         NaN   \n",
       "5     Made Acquisitions                       NaN         NaN   \n",
       "6                   NaN                       NaN         NaN   \n",
       "7                   NaN                    631.51      48.92%   \n",
       "8                   NaN                    761.65        100%   \n",
       "9                   NaN                431,494.95      46.09%   \n",
       "10                  NaN                       NaN         NaN   \n",
       "11         Was Acquired                       NaN         NaN   \n",
       "12                  NaN                       NaN         NaN   \n",
       "13                  NaN                    802.61         NaN   \n",
       "14                  NaN                       NaN         NaN   \n",
       "15                  NaN                     35.28         NaN   \n",
       "16                  NaN                       NaN         NaN   \n",
       "17                  NaN                       NaN         NaN   \n",
       "18                  NaN                       NaN         NaN   \n",
       "19                  NaN                       NaN         NaN   \n",
       "20                  NaN                       NaN         NaN   \n",
       "21                  NaN                       NaN         NaN   \n",
       "22                  NaN                       NaN         NaN   \n",
       "23         Was Acquired                       NaN         NaN   \n",
       "24                  NaN                       NaN         NaN   \n",
       "25                  NaN                       NaN         NaN   \n",
       "26         Was Acquired                       NaN         NaN   \n",
       "27                  NaN                       NaN         NaN   \n",
       "28         Was Acquired                       NaN         NaN   \n",
       "29                  NaN                       NaN         NaN   \n",
       "...                 ...                       ...         ...   \n",
       "8556                NaN                       NaN         NaN   \n",
       "8557                NaN                       NaN         NaN   \n",
       "8558                NaN                       NaN         NaN   \n",
       "8559                NaN                       NaN         NaN   \n",
       "8560                NaN                       NaN         NaN   \n",
       "8561                NaN                       NaN         NaN   \n",
       "8562                NaN                       NaN         NaN   \n",
       "8563                NaN                       NaN         NaN   \n",
       "8564                NaN                       NaN         NaN   \n",
       "8565                NaN                       NaN         NaN   \n",
       "8566                NaN                       NaN         NaN   \n",
       "8567                NaN                       NaN         NaN   \n",
       "8568                NaN                       NaN         NaN   \n",
       "8569                NaN                       NaN         NaN   \n",
       "8570                NaN                       NaN         NaN   \n",
       "8571                NaN                       NaN         NaN   \n",
       "8572                NaN                       NaN         NaN   \n",
       "8573                NaN                       NaN         NaN   \n",
       "8574                NaN                       NaN         NaN   \n",
       "8575                NaN                       NaN         NaN   \n",
       "8576                NaN                       NaN         NaN   \n",
       "8577                NaN                       NaN         NaN   \n",
       "8578                NaN                     84.14      50.63%   \n",
       "8579                NaN                       NaN         NaN   \n",
       "8580                NaN                       NaN         NaN   \n",
       "8581                NaN                       NaN         NaN   \n",
       "8582                NaN                       NaN         NaN   \n",
       "8583                NaN                       NaN         NaN   \n",
       "8584                NaN                       NaN         NaN   \n",
       "8585                NaN                       NaN         NaN   \n",
       "\n",
       "     Bounce Rate Growth CB Rank (Company)  CEO Approval Rating  \\\n",
       "0                37.61%           100,696                  NaN   \n",
       "1                   NaN           182,343                  NaN   \n",
       "2                   NaN           184,093                  NaN   \n",
       "3                   NaN           190,098                  NaN   \n",
       "4                   NaN           203,910                  NaN   \n",
       "5                   NaN           252,147                  NaN   \n",
       "6                   NaN           266,094                  NaN   \n",
       "7               -12.07%           322,796                  NaN   \n",
       "8                 9.87%           333,937                  NaN   \n",
       "9                -5.30%           343,572                  NaN   \n",
       "10                  NaN           353,128                  NaN   \n",
       "11                  NaN           356,551                  NaN   \n",
       "12                  NaN           415,824                  NaN   \n",
       "13                  NaN           434,136                  NaN   \n",
       "14                  NaN           436,051                  NaN   \n",
       "15                  NaN           439,680                  NaN   \n",
       "16                  NaN           451,724                  NaN   \n",
       "17                  NaN           497,355                  NaN   \n",
       "18                  NaN           497,536                  NaN   \n",
       "19                  NaN           498,536                  NaN   \n",
       "20                  NaN           513,448                  NaN   \n",
       "21                  NaN           531,141                  NaN   \n",
       "22                  NaN           548,830                  NaN   \n",
       "23                  NaN           556,276                  NaN   \n",
       "24                  NaN           568,805                  NaN   \n",
       "25                  NaN           589,367                  NaN   \n",
       "26                  NaN           629,562                  NaN   \n",
       "27                  NaN           662,541                  NaN   \n",
       "28                  NaN           675,649                  NaN   \n",
       "29                  NaN           679,684                  NaN   \n",
       "...                 ...               ...                  ...   \n",
       "8556                NaN           456,130                  NaN   \n",
       "8557                NaN           489,797                  NaN   \n",
       "8558                NaN           494,073                  NaN   \n",
       "8559                NaN           533,249                  NaN   \n",
       "8560                NaN           560,051                  NaN   \n",
       "8561                NaN           565,308                  NaN   \n",
       "8562                NaN           570,304                  NaN   \n",
       "8563                NaN           591,576                  NaN   \n",
       "8564                NaN           594,086                  NaN   \n",
       "8565                NaN           595,111                  NaN   \n",
       "8566                NaN           602,407                  NaN   \n",
       "8567                NaN           608,496                  NaN   \n",
       "8568                NaN           612,135                  NaN   \n",
       "8569                NaN           612,906                  NaN   \n",
       "8570                NaN           625,162                  NaN   \n",
       "8571                NaN           636,980                  NaN   \n",
       "8572                NaN           639,689                  NaN   \n",
       "8573                NaN           641,240                  NaN   \n",
       "8574                NaN           651,516                  NaN   \n",
       "8575                NaN           655,131                  NaN   \n",
       "8576                NaN           658,733                  NaN   \n",
       "8577                NaN           662,539                  NaN   \n",
       "8578                NaN           664,412                  NaN   \n",
       "8579                NaN           672,933                  NaN   \n",
       "8580                NaN           673,373                  NaN   \n",
       "8581                NaN           674,087                  NaN   \n",
       "8582                NaN           674,208                  NaN   \n",
       "8583                NaN           676,131                  NaN   \n",
       "8584                NaN           690,809                  NaN   \n",
       "8585                NaN           703,118                  NaN   \n",
       "\n",
       "                                             Categories  \\\n",
       "0                             E-Commerce, Internet, Pet   \n",
       "1                             Fashion, Internet, Retail   \n",
       "2                                   Consulting, Finance   \n",
       "3                                    E-Commerce, Retail   \n",
       "4                                         iOS, Software   \n",
       "5                        E-Commerce, Internet, Software   \n",
       "6         Information Technology, Marketing, Navigation   \n",
       "7                                   Enterprise Software   \n",
       "8                                            E-Commerce   \n",
       "9                                                   NaN   \n",
       "10         Advice, Information Services, Product Search   \n",
       "11                              E-Commerce, Health Care   \n",
       "12          B2B, Business Development, Trading Platform   \n",
       "13       E-Commerce, Internet, Shopping, Social Network   \n",
       "14       Information Technology, Internet, Social Media   \n",
       "15                                            Lifestyle   \n",
       "16                               Information Technology   \n",
       "17    Business Development, Information Technology, ...   \n",
       "18                   Animation, Content, Graphic Design   \n",
       "19    Consumer Electronics, Electronics, Information...   \n",
       "20                     Information Technology, Software   \n",
       "21               B2B, Business Intelligence, E-Commerce   \n",
       "22                                        B2B, Internet   \n",
       "23      CRM, Hardware, Information Technology, Software   \n",
       "24                              B2B, E-Commerce, Retail   \n",
       "25                                             Software   \n",
       "26             Internet, Internet of Things, iOS, Video   \n",
       "27    Information Technology, iOS, Mobile, Telecommu...   \n",
       "28    CRM, Information Technology, Internet, Interne...   \n",
       "29                                                  NaN   \n",
       "...                                                 ...   \n",
       "8556               Internet, Service Industry, Software   \n",
       "8557                               Consulting, Internet   \n",
       "8558                          Developer Tools, Software   \n",
       "8559                        Information Technology, iOS   \n",
       "8560                                           Internet   \n",
       "8561                                  Bitcoin, Internet   \n",
       "8562                                                NaN   \n",
       "8563                      Finance, Information Services   \n",
       "8564            Banking, Financial Services, Industrial   \n",
       "8565         Biotechnology, Marketplace, Online Portals   \n",
       "8566                                    Human Resources   \n",
       "8567           Health Care, Health Diagnostics, Medical   \n",
       "8568               E-Commerce, Infrastructure, Internet   \n",
       "8569                  Computer, Manufacturing, Software   \n",
       "8570                            Medical, Medical Device   \n",
       "8571             Biotechnology, Medical, Medical Device   \n",
       "8572                                                NaN   \n",
       "8573         Biotechnology, Health Care, Pharmaceutical   \n",
       "8574               Billing, Finance, Financial Services   \n",
       "8575      Health Care, Information Technology, Internet   \n",
       "8576                                                NaN   \n",
       "8577                                        Electronics   \n",
       "8578                                                NaN   \n",
       "8579                                         Consulting   \n",
       "8580                                                NaN   \n",
       "8581                                          Education   \n",
       "8582               Electronics, Manufacturing, Software   \n",
       "8583                                      Manufacturing   \n",
       "8584                                                NaN   \n",
       "8585                   Freelance, Internet, Marketplace   \n",
       "\n",
       "                                        Category Groups Closed Date  \\\n",
       "0     Commerce and Shopping, Community and Lifestyle...    6-Nov-00   \n",
       "1     Clothing and Apparel, Commerce and Shopping, D...      May-00   \n",
       "2                                    Financial Services   11-Nov-00   \n",
       "3                                 Commerce and Shopping   30-Sep-00   \n",
       "4                           Mobile, Platforms, Software        2000   \n",
       "5     Commerce and Shopping, Internet Services, Soft...        2000   \n",
       "6     Information Technology, Navigation and Mapping...      Dec-00   \n",
       "7                                              Software    1-Jan-00   \n",
       "8                                 Commerce and Shopping    1-Apr-00   \n",
       "9                                                   NaN    6-Jun-00   \n",
       "10    Information Technology, Internet Services, Med...    2-Oct-00   \n",
       "11                   Commerce and Shopping, Health Care    1-Dec-00   \n",
       "12          Financial Services, Lending and Investments    1-Nov-00   \n",
       "13             Commerce and Shopping, Internet Services   13-Dec-00   \n",
       "14    Information Technology, Internet Services, Med...    1-Jan-00   \n",
       "15                              Community and Lifestyle      Oct-00   \n",
       "16                               Information Technology    1-Oct-00   \n",
       "17                       Design, Information Technology    1-Oct-00   \n",
       "18               Design, Media and Entertainment, Video        2000   \n",
       "19    Consumer Electronics, Hardware, Information Te...   29-Jul-00   \n",
       "20                     Information Technology, Software      Jan-00   \n",
       "21            Commerce and Shopping, Data and Analytics      Dec-00   \n",
       "22                                    Internet Services   19-Sep-00   \n",
       "23    Hardware, Information Technology, Sales and Ma...        2000   \n",
       "24                                Commerce and Shopping      May-00   \n",
       "25                                             Software        2000   \n",
       "26    Internet Services, Media and Entertainment, Mo...      Mar-00   \n",
       "27    Hardware, Information Technology, Mobile, Plat...    1-Jan-00   \n",
       "28    Information Technology, Internet Services, Sal...    1-Jan-00   \n",
       "29                                                  NaN        2000   \n",
       "...                                                 ...         ...   \n",
       "8556                        Internet Services, Software        2019   \n",
       "8557                                  Internet Services    2-Mar-19   \n",
       "8558                                           Software        2019   \n",
       "8559  Information Technology, Mobile, Platforms, Sof...    1-Feb-19   \n",
       "8560                                  Internet Services        2019   \n",
       "8561  Financial Services, Internet Services, Payment...    6-Apr-19   \n",
       "8562                                                NaN   12-Feb-19   \n",
       "8563         Financial Services, Information Technology        2019   \n",
       "8564        Financial Services, Lending and Investments        2019   \n",
       "8565  Biotechnology, Commerce and Shopping, Internet...        2019   \n",
       "8566                                                NaN        2019   \n",
       "8567                                        Health Care        2019   \n",
       "8568           Commerce and Shopping, Internet Services        2019   \n",
       "8569  Consumer Electronics, Hardware, Manufacturing,...        2019   \n",
       "8570                                        Health Care        2019   \n",
       "8571  Biotechnology, Health Care, Science and Engine...        2019   \n",
       "8572                                                NaN   31-Mar-19   \n",
       "8573  Biotechnology, Health Care, Science and Engine...        2019   \n",
       "8574             Financial Services, Payments, Software        2019   \n",
       "8575  Health Care, Information Technology, Internet ...        2019   \n",
       "8576                                                NaN        2019   \n",
       "8577                     Consumer Electronics, Hardware        2019   \n",
       "8578                                                NaN    1-Jan-19   \n",
       "8579                                                NaN        2019   \n",
       "8580                                                NaN        2019   \n",
       "8581                                          Education        2019   \n",
       "8582  Consumer Electronics, Hardware, Manufacturing,...        2019   \n",
       "8583                                      Manufacturing        2019   \n",
       "8584                                                NaN        2019   \n",
       "8585  Commerce and Shopping, Internet Services, Prof...        2019   \n",
       "\n",
       "      Closed Date Year          ...           Page Views / Visit Growth  \\\n",
       "0                 2000          ...                             -29.23%   \n",
       "1                 2000          ...                                 NaN   \n",
       "2                 2000          ...                                 NaN   \n",
       "3                 2000          ...                                 NaN   \n",
       "4                 2000          ...                                 NaN   \n",
       "5                 2000          ...                                 NaN   \n",
       "6                 2000          ...                                 NaN   \n",
       "7                 2000          ...                             -12.14%   \n",
       "8                 2000          ...                                  0%   \n",
       "9                 2000          ...                               6.33%   \n",
       "10                2000          ...                                 NaN   \n",
       "11                2000          ...                                 NaN   \n",
       "12                2000          ...                                 NaN   \n",
       "13                2000          ...                                 NaN   \n",
       "14                2000          ...                                 NaN   \n",
       "15                2000          ...                                 NaN   \n",
       "16                2000          ...                                 NaN   \n",
       "17                2000          ...                                 NaN   \n",
       "18                2000          ...                                 NaN   \n",
       "19                2000          ...                                 NaN   \n",
       "20                2000          ...                                 NaN   \n",
       "21                2000          ...                                 NaN   \n",
       "22                2000          ...                                 NaN   \n",
       "23                2000          ...                                 NaN   \n",
       "24                2000          ...                                 NaN   \n",
       "25                2000          ...                                 NaN   \n",
       "26                2000          ...                                 NaN   \n",
       "27                2000          ...                                 NaN   \n",
       "28                2000          ...                                 NaN   \n",
       "29                2000          ...                                 NaN   \n",
       "...                ...          ...                                 ...   \n",
       "8556              2019          ...                                 NaN   \n",
       "8557              2019          ...                                 NaN   \n",
       "8558              2019          ...                                 NaN   \n",
       "8559              2019          ...                                 NaN   \n",
       "8560              2019          ...                                 NaN   \n",
       "8561              2019          ...                                 NaN   \n",
       "8562              2019          ...                                 NaN   \n",
       "8563              2019          ...                                 NaN   \n",
       "8564              2019          ...                                 NaN   \n",
       "8565              2019          ...                                 NaN   \n",
       "8566              2019          ...                                 NaN   \n",
       "8567              2019          ...                                 NaN   \n",
       "8568              2019          ...                                 NaN   \n",
       "8569              2019          ...                                 NaN   \n",
       "8570              2019          ...                                 NaN   \n",
       "8571              2019          ...                                 NaN   \n",
       "8572              2019          ...                                 NaN   \n",
       "8573              2019          ...                                 NaN   \n",
       "8574              2019          ...                                 NaN   \n",
       "8575              2019          ...                                 NaN   \n",
       "8576              2019          ...                                 NaN   \n",
       "8577              2019          ...                                 NaN   \n",
       "8578              2019          ...                                 NaN   \n",
       "8579              2019          ...                                 NaN   \n",
       "8580              2019          ...                                 NaN   \n",
       "8581              2019          ...                                 NaN   \n",
       "8582              2019          ...                                 NaN   \n",
       "8583              2019          ...                                 NaN   \n",
       "8584              2019          ...                                 NaN   \n",
       "8585              2019          ...                                 NaN   \n",
       "\n",
       "     Patents Granted                                    Top 5 Investors  \\\n",
       "0                NaN  Comcast Ventures, ETF Group, HWVP, Hummer Winb...   \n",
       "1                NaN                                                NaN   \n",
       "2                NaN                                                NaN   \n",
       "3                NaN                                          Telemundo   \n",
       "4                NaN                                                NaN   \n",
       "5                NaN                                                NaN   \n",
       "6                NaN  Acon Ventures, Primedia Ventures, Trusted Medi...   \n",
       "7                NaN                                                NaN   \n",
       "8                NaN                                                NaN   \n",
       "9                NaN                                                NaN   \n",
       "10               NaN  Amicus Capital Partners, Bessemer Venture Part...   \n",
       "11               NaN                                                NaN   \n",
       "12               NaN                             Comdisco Ventures, TCV   \n",
       "13               NaN         APV Technology Partners, Dominion Ventures   \n",
       "14               NaN                                                NaN   \n",
       "15               NaN                                                NaN   \n",
       "16               NaN  David Hayden, Jon Staenberg, Josh Mailman, Pel...   \n",
       "17               NaN                                    Hewlett-Packard   \n",
       "18               NaN  Freedom Communications, Media Technology Ventu...   \n",
       "19               NaN                                                NaN   \n",
       "20               NaN                                                NaN   \n",
       "21               NaN  Battery Ventures, Boston Millennia Partners, C...   \n",
       "22               NaN  Akamai Technologies, Kevin Wall, Los Angeles C...   \n",
       "23               NaN                                                NaN   \n",
       "24               NaN                                                NaN   \n",
       "25               NaN                                              Cisco   \n",
       "26               NaN                                                NaN   \n",
       "27               NaN                                                NaN   \n",
       "28               NaN                                                NaN   \n",
       "29               NaN                                                NaN   \n",
       "...              ...                                                ...   \n",
       "8556             NaN                                    Dipsea Ventures   \n",
       "8557             NaN                                                NaN   \n",
       "8558             NaN                                                NaN   \n",
       "8559             NaN                                                NaN   \n",
       "8560             NaN                            Kohlberg Kravis Roberts   \n",
       "8561             NaN                                                NaN   \n",
       "8562             NaN                                                NaN   \n",
       "8563             NaN                      Waterside Capital Corporation   \n",
       "8564             NaN                                               GTCR   \n",
       "8565             NaN                                                NaN   \n",
       "8566             NaN                      National Institutes of Health   \n",
       "8567             NaN                                Three Arch Partners   \n",
       "8568             NaN               DB Capital Ventures, Sandler Capital   \n",
       "8569             NaN                                            NYSERDA   \n",
       "8570             NaN                                                NaN   \n",
       "8571             NaN                                                NaN   \n",
       "8572             NaN                                                NaN   \n",
       "8573             NaN  CEI Ventures, Maine Technology Institute, Main...   \n",
       "8574             NaN                  Behrman Capital, Quadrangle Group   \n",
       "8575             NaN  Affinity Capital Management, Delphi Ventures, ...   \n",
       "8576             NaN                                                NaN   \n",
       "8577             NaN                                            NYSERDA   \n",
       "8578             NaN                                                NaN   \n",
       "8579             NaN                                            NYSERDA   \n",
       "8580             NaN                                            NYSERDA   \n",
       "8581             NaN                                            NYSERDA   \n",
       "8582             NaN                                            NYSERDA   \n",
       "8583             NaN                                            NYSERDA   \n",
       "8584             NaN                                            NYSERDA   \n",
       "8585             NaN                                                NaN   \n",
       "\n",
       "     Total Equity Funding Amount Total Funding Amount Trademarks Registered  \\\n",
       "0                   $15,000,000              15000000                   NaN   \n",
       "1                            NaN                  NaN                   NaN   \n",
       "2                            NaN                  NaN                   NaN   \n",
       "3                            NaN                  NaN                   NaN   \n",
       "4                            NaN                  NaN                   NaN   \n",
       "5                            NaN                  NaN                   NaN   \n",
       "6                   $15,000,000              15000000                   NaN   \n",
       "7                            NaN                  NaN                   NaN   \n",
       "8                    $6,000,000               6000000                   NaN   \n",
       "9                            NaN                  NaN                   NaN   \n",
       "10                  $16,000,000              16000000                   NaN   \n",
       "11                           NaN                  NaN                   NaN   \n",
       "12                  $18,900,000              18900000                   NaN   \n",
       "13                           NaN                  NaN                   NaN   \n",
       "14                           NaN                  NaN                   NaN   \n",
       "15                           NaN                  NaN                   NaN   \n",
       "16                   $3,500,000               3500000                   NaN   \n",
       "17                           NaN             25000000                   NaN   \n",
       "18                   $8,500,000               8500000                   NaN   \n",
       "19                           NaN                  NaN                   NaN   \n",
       "20                           NaN                  NaN                   NaN   \n",
       "21                  $21,000,000              21000000                   NaN   \n",
       "22                   $1,700,000               1700000                   NaN   \n",
       "23                           NaN                  NaN                   NaN   \n",
       "24                           NaN                  NaN                   NaN   \n",
       "25                           NaN                  NaN                   NaN   \n",
       "26                           NaN                  NaN                   NaN   \n",
       "27                           NaN                  NaN                   NaN   \n",
       "28                           NaN                  NaN                   NaN   \n",
       "29                           NaN                  NaN                   NaN   \n",
       "...                          ...                  ...                   ...   \n",
       "8556                 $1,500,000               1500000                   NaN   \n",
       "8557                         NaN                  NaN                   NaN   \n",
       "8558                   $100,000                100000                   NaN   \n",
       "8559                         NaN                  NaN                   NaN   \n",
       "8560                 $3,000,000               3000000                   NaN   \n",
       "8561                         NaN                  NaN                   NaN   \n",
       "8562                         NaN                  NaN                   NaN   \n",
       "8563                 $1,500,000               1500000                   NaN   \n",
       "8564               $100,000,000             100000000                   NaN   \n",
       "8565                 $2,327,600               2327600                   NaN   \n",
       "8566                         NaN               750000                   NaN   \n",
       "8567                $15,000,000              15000000                   NaN   \n",
       "8568                $75,000,000              75000000                   NaN   \n",
       "8569                         NaN               450000                   NaN   \n",
       "8570                    $25,000                 25000                   NaN   \n",
       "8571                 $4,000,000               4000000                   NaN   \n",
       "8572                         NaN                  NaN                   NaN   \n",
       "8573                 $1,150,000               1150000                   NaN   \n",
       "8574                $30,000,000              30000000                   NaN   \n",
       "8575                 $4,000,000               4000000                   NaN   \n",
       "8576                         NaN                  NaN                   NaN   \n",
       "8577                         NaN               149990                   NaN   \n",
       "8578                         NaN                  NaN                   NaN   \n",
       "8579                         NaN              1079978                   NaN   \n",
       "8580                         NaN                59271                   NaN   \n",
       "8581                         NaN               196244                   NaN   \n",
       "8582                         NaN              1502548                   NaN   \n",
       "8583                         NaN                96789                   NaN   \n",
       "8584                         NaN                22367                   NaN   \n",
       "8585                         NaN                  NaN                   NaN   \n",
       "\n",
       "     Visit Duration Visit Duration Growth                            Website  \\\n",
       "0                 0               -97.34%                       www.pets.com   \n",
       "1               NaN                   NaN                        www.boo.com   \n",
       "2               NaN                   NaN                                NaN   \n",
       "3               NaN                   NaN                                NaN   \n",
       "4               NaN                   NaN                                NaN   \n",
       "5               NaN                   NaN                                NaN   \n",
       "6               NaN                   NaN             www.stickynetworks.com   \n",
       "7                 6                   NaN                    www.pazkar.com/   \n",
       "8               NaN                   NaN                  www.cybershop.com   \n",
       "9               102                 9.18%                         www.xx.com   \n",
       "10              NaN                   NaN               www.productopia.com/   \n",
       "11              NaN                   NaN                                NaN   \n",
       "12              NaN                   NaN                  www.esociety.com/   \n",
       "13              NaN                   NaN                www.pointclick.com/   \n",
       "14              NaN                   NaN                    www.emanage.com   \n",
       "15              NaN                   NaN             www.brody.org/alcheme/   \n",
       "16              NaN                   NaN                                NaN   \n",
       "17              NaN                   NaN                www.logicstream.net   \n",
       "18              NaN                   NaN                   www.dotcomix.com   \n",
       "19              NaN                   NaN                                NaN   \n",
       "20              NaN                   NaN                                NaN   \n",
       "21              NaN                   NaN                                NaN   \n",
       "22              NaN                   NaN                                NaN   \n",
       "23              NaN                   NaN                                NaN   \n",
       "24              NaN                   NaN                                NaN   \n",
       "25              NaN                   NaN                    www.noochee.com   \n",
       "26              NaN                   NaN                                NaN   \n",
       "27              NaN                   NaN                                NaN   \n",
       "28              NaN                   NaN                                NaN   \n",
       "29              NaN                   NaN                                NaN   \n",
       "...             ...                   ...                                ...   \n",
       "8556            NaN                   NaN                    www.celosis.com   \n",
       "8557            NaN                   NaN                   legaldocx.co.za/   \n",
       "8558            NaN                   NaN                   www.spryhive.com   \n",
       "8559            NaN                   NaN                                NaN   \n",
       "8560            NaN                   NaN                   www.edynamis.com   \n",
       "8561            NaN                   NaN             www.bitcoinvalues.net/   \n",
       "8562            NaN                   NaN              www.slangbusters.com/   \n",
       "8563            NaN                   NaN                                NaN   \n",
       "8564            NaN                   NaN                                NaN   \n",
       "8565            NaN                   NaN                                NaN   \n",
       "8566            NaN                   NaN                                NaN   \n",
       "8567            NaN                   NaN                                NaN   \n",
       "8568            NaN                   NaN                                NaN   \n",
       "8569            NaN                   NaN                                NaN   \n",
       "8570            NaN                   NaN                                NaN   \n",
       "8571            NaN                   NaN                                NaN   \n",
       "8572            NaN                   NaN                                NaN   \n",
       "8573            NaN                   NaN                                NaN   \n",
       "8574            NaN                   NaN                                NaN   \n",
       "8575            NaN                   NaN                    www.icaninc.net   \n",
       "8576            NaN                   NaN                                NaN   \n",
       "8577            NaN                   NaN             www.electriclaunch.com   \n",
       "8578            481                   NaN  airporttransfersmelbourne.com.au/   \n",
       "8579            NaN                   NaN                                NaN   \n",
       "8580            NaN                   NaN                                NaN   \n",
       "8581            NaN                   NaN                                NaN   \n",
       "8582            NaN                   NaN                                NaN   \n",
       "8583            NaN                   NaN                                NaN   \n",
       "8584            NaN                   NaN                                NaN   \n",
       "8585            NaN                   NaN                                NaN   \n",
       "\n",
       "        Organization Name.1  \n",
       "0                  Pets.com  \n",
       "1                   boo.com  \n",
       "2        LEHNER INVESTMENTS  \n",
       "3               Espanol.com  \n",
       "4                   Website  \n",
       "5     Harbinger Corporation  \n",
       "6           Sticky Networks  \n",
       "7                    Pazkar  \n",
       "8                 Cybershop  \n",
       "9                        xx  \n",
       "10              Productopia  \n",
       "11             Promedix.com  \n",
       "12                 eSociety  \n",
       "13           PointClick.com  \n",
       "14              eManage.com  \n",
       "15             AlcheMe, Inc  \n",
       "16              Red Gorilla  \n",
       "17              LogicStream  \n",
       "18                 DotComix  \n",
       "19     Genias Software GmbH  \n",
       "20                  AdForce  \n",
       "21                 EC Cubed  \n",
       "22               eCitydeals  \n",
       "23               Unidata 80  \n",
       "24                iMark.com  \n",
       "25        Noochee Solutions  \n",
       "26               RivalWorks  \n",
       "27          Veronica Mobile  \n",
       "28               MyPersonal  \n",
       "29     Catfish Express, LLC  \n",
       "...                     ...  \n",
       "8556                    NaN  \n",
       "8557                    NaN  \n",
       "8558                    NaN  \n",
       "8559                    NaN  \n",
       "8560                    NaN  \n",
       "8561                    NaN  \n",
       "8562                    NaN  \n",
       "8563                    NaN  \n",
       "8564                    NaN  \n",
       "8565                    NaN  \n",
       "8566                    NaN  \n",
       "8567                    NaN  \n",
       "8568                    NaN  \n",
       "8569                    NaN  \n",
       "8570                    NaN  \n",
       "8571                    NaN  \n",
       "8572                    NaN  \n",
       "8573                    NaN  \n",
       "8574                    NaN  \n",
       "8575                    NaN  \n",
       "8576                    NaN  \n",
       "8577                    NaN  \n",
       "8578                    NaN  \n",
       "8579                    NaN  \n",
       "8580                    NaN  \n",
       "8581                    NaN  \n",
       "8582                    NaN  \n",
       "8583                    NaN  \n",
       "8584                    NaN  \n",
       "8585                    NaN  \n",
       "\n",
       "[8586 rows x 50 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Total Funding Amount'].str.contains(\"CHF|CN|DKK|ISK|R|SEK|SGD\", na=False, regex=True)]['Total Funding Amount']\n",
    "import re\n",
    "s='$15,000,000'\n",
    "# bad_chars will look for all characters that are not numbers\n",
    "bad_chars = r'[^1234567890]'\n",
    "s_new = re.sub(bad_chars, '', s)\n",
    "df['Total Funding Amount']=df['Total Funding Amount'].dropna().apply(lambda s: re.sub(bad_chars, '', s))\n",
    "set(df['Total Funding Amount'].dropna().values)\n",
    "# This line drops 30 lines which do have foreign currencies in them using a regex and stores it in a new data frame df2.\n",
    "df2 = df.drop(df[df['Total Funding Amount'].str.contains(\"CHF|CN|DKK|ISK|R|SEK|SGD\", na=False, regex=True)]['Total Funding Amount'].index).copy()\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# bad_chars defines all characters that are not numbers\n",
    "bad_chars = r'[^1234567890]'\n",
    "# This line removes all the characters that are not numbers in the total funding amount column\n",
    "df2['Total Funding Amount']=df2['Total Funding Amount'].dropna().apply(lambda s: re.sub(bad_chars, '', s))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Percentage of startups that was closed and acquired"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "% matplotlib inline\n",
    "\n",
    "fig = plt.figure(figsize=(7,7))\n",
    "ax = plt.subplot(111)\n",
    "ax.set_title('Out of '+str(len(df2))+' startups...', fontsize=16)\n",
    "labels = ' True negative (TN):\\n \\'not acquired\\n& closed\\'', ' False negative (FN): \\n \\'acquired \\n & closed\\''\n",
    "number_of_acquired_companies = len(df2[(df2['Acquisition Status']=='Was Acquired')|(df2['Acquisition Status']=='Made Acquisitions, Was Acquired')])\n",
    "number_of_closed_companies = len(df2) - number_of_acquired_companies\n",
    "sizes = [number_of_closed_companies, number_of_acquired_companies]\n",
    "colors = ['C0', 'yellowgreen']\n",
    "explode = (0.2, 0)  # explode 1st slice\n",
    "\n",
    "# Plot pie chart\n",
    "patches, texts, autotexts = ax.pie(sizes, explode=explode, labels=labels, colors=colors,\n",
    "autopct='%1.1f%%', shadow=False, startangle=15)\n",
    "\n",
    "for i in range(len(texts)):\n",
    "    texts[i].set_fontsize(16)\n",
    "    autotexts[i].set_fontsize(16)\n",
    "\n",
    "plt.axis('equal')\n",
    "plt.subplots_adjust(top=1,bottom=0.04,left=0.1,right=0.85)\n",
    "plt.savefig('Crunchbase_PieChart.jpg', dpi=600, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Number of companies closed and acquired grouped by funding amount and their respective acquisiton percentages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda2\\lib\\site-packages\\ipykernel_launcher.py:45: RuntimeWarning: divide by zero encountered in divide\n",
      "C:\\ProgramData\\Anaconda2\\lib\\site-packages\\ipykernel_launcher.py:45: RuntimeWarning: invalid value encountered in divide\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x504 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "% matplotlib inline\n",
    "font = {'family': 'normal', 'weight': 'normal', 'size': 16}\n",
    "plt.rc('font', **font)\n",
    "fig = plt.figure(figsize=(9,7))\n",
    "# Gridplot with top and bottom figure\n",
    "gs = gridspec.GridSpec(2, 1,  height_ratios=[6, 1])\n",
    "gs.update(left=0.12, right=0.98, hspace=0.40)\n",
    "ax = plt.subplot(gs[0,0])\n",
    "ax2 = plt.subplot(gs[1,0])\n",
    "\n",
    "# Define data for closed(x) and acquired (x_acquired) companies\n",
    "x = pd.to_numeric(df2[(df2['Acquisition Status']!='Was Acquired')&(df2['Acquisition Status']!='Made Acquisitions, Was Acquired')]['Total Funding Amount'].dropna().values)\n",
    "x_acquired = pd.to_numeric(df2[(df2['Acquisition Status']=='Was Acquired')|(df2['Acquisition Status']=='Made Acquisitions, Was Acquired')]['Total Funding Amount'].dropna().values)\n",
    "# Plot top histogram\n",
    "(n, bins, patches)=ax.hist(x,bins=np.logspace(2,10,50), rwidth =1,color='C0',edgecolor='black',zorder=5)\n",
    "(n_acquired, bins, patches)=ax.hist(x_acquired,bins=np.logspace(2,10,50), rwidth =1,color='yellowgreen',edgecolor='black',zorder=5)\n",
    "# Formatting/labelling of axes in top plot\n",
    "ax.set_xscale('log')\n",
    "ax.set_xlim(left=1e2, right=6e+9)\n",
    "ax.set_xlabel('Total funding amount (in $)',fontsize=16)\n",
    "ax.set_ylabel('Number of companies',fontsize=16)\n",
    "ax.tick_params(axis='both', labelsize=16)\n",
    "ax.grid(b=True, which='major', axis='x',zorder=0)\n",
    "ax1 = ax.twiny()\n",
    "ax1.set_xlim(ax.get_xlim())\n",
    "ax1.set_xscale('log')\n",
    "top_axis_ticks = np.array([1e+3,1e+4,1e+5,1e+6,1e+7,1e+8,1e+9])\n",
    "top_axis_labels = np.array(['$1k','$10k','$100k','$1M','$10M','$100M','$1B'])\n",
    "ax1.set_xticks(top_axis_ticks)\n",
    "ax1.set_xticklabels(top_axis_labels,fontsize=16)\n",
    "ax1.tick_params(axis =u'both')\n",
    "ax1.set_ylim(bottom=0, top=290)\n",
    "a = ax.get_xticks()\n",
    "\n",
    "### Plot acquisition percentage in bottom plot\n",
    "# l gives the bin position and l_width gives the width of each individual bin on a log scale\n",
    "l = []\n",
    "l_width=[]\n",
    "b_0 = bins[0]\n",
    "for b in bins[1:]:\n",
    "    l.append((b_0+b)/2.)\n",
    "    l_width.append(b-b_0)\n",
    "    b_0=b\n",
    "# Calculates the ratio of aquired to closed companies and removes singularities\n",
    "p= 100*(n_acquired/n)\n",
    "p[p == inf] = 0\n",
    "# percentages are the acquisiton percentages per funding amount\n",
    "percentages = np.nan_to_num(p)\n",
    "# Plot bottom plot and format axes\n",
    "ax2.bar(l,percentages, width=1*np.array(l_width),edgecolor='black', color='grey',zorder=5)\n",
    "ax2.set_xscale('log')\n",
    "ax2.set_xlim(left=1e2, right=6e+9)\n",
    "ax2.set_xlabel('Total funding amount (in $)',fontsize=16)\n",
    "ax2.set_ylabel('Acqu. perc. (%)\\nof closed \\ncompanies') #Acqu. perc. (%) \\n of closed companies, Ratio FN/TN \\n (%)\n",
    "ax2.set_xticks(top_axis_ticks)\n",
    "ax2.set_xticklabels(top_axis_labels,fontsize=16)\n",
    "ax2.grid(b=True, which='major', axis='x',zorder=0)\n",
    "# Add legend in top plot and set formatting\n",
    "import matplotlib.lines as mlines\n",
    "blue_line = mlines.Line2D([], [], color='C0', label='not acquired & closed (TN)')\n",
    "green_line = mlines.Line2D([], [], color='yellowgreen', label='acquired & closed (FN)')\n",
    "legend = plt.legend(handles=[blue_line, green_line])\n",
    "for handle in legend.legendHandles:\n",
    "    handle.set_linewidth(9.0)\n",
    "plt.savefig('Crunchbase_Acquisiton_rate_by_funding.jpg', dpi=600, bbox_inches ='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Number of companies closed/acquired by category"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Print information on grouping companies based on their categories at the end of the cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of different categories is: 46 which were assigned 24727 times.\n",
      "The number of different categories for companies which failed is: 46 which were assigned 22891 times.\n",
      "The number of different categories for companies which succeded is: 45 which were assigned 1836 times.\n"
     ]
    }
   ],
   "source": [
    "# Print information on grouping companies based on their categories at the end of the cell\n",
    "# Number of assigned and distinct categories for all companies\n",
    "Number_of_assigned_categories = len(sum(df2['Category Groups']\n",
    "                                        .dropna()\n",
    "                                        .apply(lambda string:string.split(','))\n",
    "                                        .apply(lambda List: [word.strip() for word in List])\n",
    "                                        ,[]))\n",
    "Number_of_distinct_categories = len(set(sum(df2['Category Groups']\n",
    "                                        .dropna()\n",
    "                                        .apply(lambda string:string.split(','))\n",
    "                                        .apply(lambda List: [word.strip() for word in List])\n",
    "                                        ,[])))\n",
    "print ('The number of different categories is: {} which were assigned {} times.'\n",
    "        .format(Number_of_distinct_categories, Number_of_assigned_categories))\n",
    "# Number of assigned and distinct categories for unsuccesful companies\n",
    "Number_of_assigned_categories_unsuccesful = len(sum(df2[(df2['Acquisition Status']!='Was Acquired')&(df2['Acquisition Status']!='Made Acquisitions, Was Acquired')]['Category Groups']\n",
    "                                        .dropna()\n",
    "                                        .apply(lambda string:string.split(','))\n",
    "                                        .apply(lambda List: [word.strip() for word in List])\n",
    "                                        ,[]))\n",
    "Number_of_distinct_categories_unsuccesful = len(set(sum(df2[(df2['Acquisition Status']!='Was Acquired')&(df2['Acquisition Status']!='Made Acquisitions, Was Acquired')]['Category Groups']\n",
    "                                        .dropna()\n",
    "                                        .apply(lambda string:string.split(','))\n",
    "                                        .apply(lambda List: [word.strip() for word in List])\n",
    "                                        ,[])))\n",
    "print ('The number of different categories for companies which failed is: {} which were assigned {} times.'\n",
    "       .format(Number_of_distinct_categories_unsuccesful, Number_of_assigned_categories_unsuccesful))\n",
    "# Number of assigned and distinct categories for succesful companies\n",
    "Number_of_assigned_categories_succesful = len(sum(df2[(df2['Acquisition Status']=='Was Acquired')|(df2['Acquisition Status']=='Made Acquisitions, Was Acquired')]['Category Groups']\n",
    "                                        .dropna()\n",
    "                                        .apply(lambda string:string.split(','))\n",
    "                                        .apply(lambda List: [word.strip() for word in List])\n",
    "                                        ,[]))\n",
    "Number_of_distinct_categories_succesful = len(set(sum(df2[(df2['Acquisition Status']=='Was Acquired')|(df2['Acquisition Status']=='Made Acquisitions, Was Acquired')]['Category Groups']\n",
    "                                        .dropna()\n",
    "                                        .apply(lambda string:string.split(','))\n",
    "                                        .apply(lambda List: [word.strip() for word in List])\n",
    "                                        ,[])))\n",
    "print ('The number of different categories for companies which succeded is: {} which were assigned {} times.'\n",
    "       .format(Number_of_distinct_categories_succesful, Number_of_assigned_categories_succesful))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Print the sorted word counts for categories in closed and acquired companies at the end of the cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "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>Category</th>\n",
       "      <th>Counts_unsuccesful</th>\n",
       "      <th>Counts_succesful</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Software</td>\n",
       "      <td>3033</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Internet Services</td>\n",
       "      <td>2617</td>\n",
       "      <td>177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Media and Entertainment</td>\n",
       "      <td>1837</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mobile</td>\n",
       "      <td>1254</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Commerce and Shopping</td>\n",
       "      <td>1238</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Information Technology</td>\n",
       "      <td>1230</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sales and Marketing</td>\n",
       "      <td>1014</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hardware</td>\n",
       "      <td>926</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Apps</td>\n",
       "      <td>710</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Data and Analytics</td>\n",
       "      <td>706</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Financial Services</td>\n",
       "      <td>690</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Health Care</td>\n",
       "      <td>625</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Advertising</td>\n",
       "      <td>600</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Content and Publishing</td>\n",
       "      <td>550</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Science and Engineering</td>\n",
       "      <td>499</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Design</td>\n",
       "      <td>493</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Community and Lifestyle</td>\n",
       "      <td>443</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Video</td>\n",
       "      <td>392</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Consumer Electronics</td>\n",
       "      <td>334</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Education</td>\n",
       "      <td>334</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Platforms</td>\n",
       "      <td>301</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Travel and Tourism</td>\n",
       "      <td>280</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Sports</td>\n",
       "      <td>277</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Professional Services</td>\n",
       "      <td>275</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Transportation</td>\n",
       "      <td>269</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Manufacturing</td>\n",
       "      <td>265</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Messaging and Telecommunications</td>\n",
       "      <td>264</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Gaming</td>\n",
       "      <td>261</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Music and Audio</td>\n",
       "      <td>254</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Real Estate</td>\n",
       "      <td>251</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Food and Beverage</td>\n",
       "      <td>237</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Biotechnology</td>\n",
       "      <td>229</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Privacy and Security</td>\n",
       "      <td>213</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Clothing and Apparel</td>\n",
       "      <td>207</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Lending and Investments</td>\n",
       "      <td>198</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Events</td>\n",
       "      <td>187</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Payments</td>\n",
       "      <td>179</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Sustainability</td>\n",
       "      <td>171</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Energy</td>\n",
       "      <td>164</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Navigation and Mapping</td>\n",
       "      <td>160</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Artificial Intelligence</td>\n",
       "      <td>159</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Consumer Goods</td>\n",
       "      <td>118</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Natural Resources</td>\n",
       "      <td>103</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Administrative Services</td>\n",
       "      <td>88</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Government and Military</td>\n",
       "      <td>50</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Agriculture and Farming</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Category Counts_unsuccesful Counts_succesful\n",
       "0                           Software               3033              246\n",
       "1                  Internet Services               2617              177\n",
       "2            Media and Entertainment               1837              134\n",
       "3                             Mobile               1254              103\n",
       "4              Commerce and Shopping               1238               61\n",
       "5             Information Technology               1230              115\n",
       "6                Sales and Marketing               1014               65\n",
       "7                           Hardware                926               88\n",
       "8                               Apps                710               53\n",
       "9                 Data and Analytics                706               68\n",
       "10                Financial Services                690               49\n",
       "11                       Health Care                625               35\n",
       "12                       Advertising                600               34\n",
       "13            Content and Publishing                550               53\n",
       "14           Science and Engineering                499               36\n",
       "15                            Design                493               37\n",
       "16           Community and Lifestyle                443               14\n",
       "17                             Video                392               34\n",
       "18              Consumer Electronics                334               32\n",
       "19                         Education                334                9\n",
       "20                         Platforms                301               26\n",
       "21                Travel and Tourism                280               17\n",
       "22                            Sports                277               13\n",
       "23             Professional Services                275               19\n",
       "24                    Transportation                269               26\n",
       "25                     Manufacturing                265               31\n",
       "26  Messaging and Telecommunications                264               24\n",
       "27                            Gaming                261               26\n",
       "28                   Music and Audio                254               21\n",
       "29                       Real Estate                251               14\n",
       "30                 Food and Beverage                237               25\n",
       "31                     Biotechnology                229                9\n",
       "32              Privacy and Security                213               29\n",
       "33              Clothing and Apparel                207                9\n",
       "34           Lending and Investments                198                9\n",
       "35                            Events                187               12\n",
       "36                          Payments                179               17\n",
       "37                    Sustainability                171                6\n",
       "38                            Energy                164                7\n",
       "39            Navigation and Mapping                160                8\n",
       "40           Artificial Intelligence                159               17\n",
       "41                    Consumer Goods                118                6\n",
       "42                 Natural Resources                103                6\n",
       "43           Administrative Services                 88               11\n",
       "44           Government and Military                 50                5\n",
       "45           Agriculture and Farming                 42                0"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List of categories for unsuccesful companies\n",
    "l_unsuccesful = sum(df2[(df2['Acquisition Status']!='Was Acquired')|(df2['Acquisition Status']!='Made Acquisitions, Was Acquired')]['Category Groups']\n",
    "                    .dropna()\n",
    "                    .apply(lambda string:string.split(','))\n",
    "                    .apply(lambda List: [word.strip() for word in List])\n",
    "                    ,[])\n",
    "\n",
    "# operator is used for sorting a list of dictionaries\n",
    "import operator\n",
    "# print the word frequency \n",
    "word_counts_unsuccesful = {}\n",
    "for word in list(set(l_unsuccesful)):\n",
    "    word_counts_unsuccesful[word] = l_unsuccesful.count(word)\n",
    "sorted_word_counts_unsuccesful = sorted(word_counts_unsuccesful.items(), key=operator.itemgetter(1), reverse=True)\n",
    "sorted_word_counts_unsuccesful[:]\n",
    "\n",
    "# List of categories for succesful companies\n",
    "l_succesful = sum(df2[(df2['Acquisition Status']=='Was Acquired')|(df2['Acquisition Status']=='Made Acquisitions, Was Acquired')]['Category Groups']\n",
    "                    .dropna()\n",
    "                    .apply(lambda string:string.split(','))\n",
    "                    .apply(lambda List: [word.strip() for word in List])\n",
    "                    ,[])\n",
    "\n",
    "# operator is used for sorting a list of dictionaries\n",
    "import operator\n",
    "# print the word frequency \n",
    "word_counts_succesful = {}\n",
    "for word in list(set(l_succesful)):\n",
    "    word_counts_succesful[word] = l_succesful.count(word)\n",
    "sorted_word_counts_succesful = sorted(word_counts_succesful.items(), key=operator.itemgetter(1), reverse=True)\n",
    "# print sorted_word_counts_succesful[:];\n",
    "# print sorted_word_counts_unsuccesful[:];\n",
    "\n",
    "# Make a dataframe of category counts for companies that were succesful or unsuccesful in that category\n",
    "left = pd.DataFrame(np.array(sorted_word_counts_unsuccesful), columns=['Category', 'Counts_unsuccesful'])\n",
    "right = pd.DataFrame(np.array(sorted_word_counts_succesful), columns=['Category', 'Counts_succesful'])\n",
    "result = pd.merge(left,right, how='outer').fillna(0)\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x2016 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "% matplotlib inline\n",
    "font = {'family': 'normal', 'weight': 'normal', 'size': 18}\n",
    "plt.rc('font', **font)\n",
    "\n",
    "fig = plt.figure(figsize=(9,28))\n",
    "# Gridplot with 2 columns\n",
    "gs = gridspec.GridSpec(1, 2,  width_ratios=[5, 1])\n",
    "gs.update(left=0.12, right=0.98, wspace=0.1)\n",
    "# Left plot\n",
    "ax1 = plt.subplot(gs[0,0])\n",
    "# Data\n",
    "y,x_succesful= result['Category'], pd.to_numeric(result['Counts_succesful'])\n",
    "y,x_unsuccesful= result['Category'], pd.to_numeric(result['Counts_unsuccesful'])\n",
    "y_axis = np.arange(0, len(result['Category']), 1)[::-1]\n",
    "# Plot left figure\n",
    "bars = ax1.barh(y_axis, x_unsuccesful, height=0.9, align='center',zorder=3, edgecolor='black')\n",
    "bars = ax1.barh(y_axis, x_succesful, height=0.9, align='center',zorder=3, color='yellowgreen', edgecolor='black')\n",
    "# Format and label left figure\n",
    "ax1.set_yticks(y_axis)\n",
    "ax1.set_yticklabels(y)\n",
    "ax1.set_ylim(bottom = -0.5,top = 47.8)\n",
    "ax1.tick_params(axis='y', which='major', bottom=False)\n",
    "ax1.xaxis.set_tick_params(labeltop='on', top='on')\n",
    "ax1.set_xlim(left=-0.1, right=3100)\n",
    "ax1.set_xlabel('Category counts')\n",
    "ax1.yaxis.grid(True,zorder=0)\n",
    "ax1.xaxis.grid(True,zorder=0)\n",
    "# Plot legend\n",
    "import matplotlib.lines as mlines\n",
    "blue_line = mlines.Line2D([], [], color='C0', label='not acquired & closed (TN)')\n",
    "green_line = mlines.Line2D([], [], color='yellowgreen', label='acquired & closed (FN)')\n",
    "legend = plt.legend(handles=[blue_line, green_line], loc='upper left')\n",
    "for handle in legend.legendHandles:\n",
    "    handle.set_linewidth(9.0)\n",
    "# Define data for right figure\n",
    "ax2 = plt.subplot(gs[0,1])\n",
    "y,x_succesful= result['Category'], pd.to_numeric(result['Counts_succesful'], downcast='float')\n",
    "y,x_unsuccesful= result['Category'], pd.to_numeric(result['Counts_unsuccesful'], downcast='float')\n",
    "percentages = 100*(x_succesful/x_unsuccesful)\n",
    "ax2.set_yticks(y_axis)\n",
    "ax2.set_yticklabels(['{}%'.format(round(float(per),1)) for per in percentages])\n",
    "ax2.set_ylim(bottom = -0.5,top = 47.8)\n",
    "# Plot right figure and format axis\n",
    "bars = ax2.barh(y_axis, 100*(x_succesful/x_unsuccesful), height=0.9, align='center',zorder=3,  color='grey', edgecolor='black')\n",
    "ax2.set_xlabel('Acqu. perc. (%)\\nof closed \\ncompanies')\n",
    "ax2.xaxis.set_tick_params(labelright='on', right='on')\n",
    "ax2.yaxis.tick_right()\n",
    "ax2.yaxis.set_label_position(\"right\")\n",
    "ax2.yaxis.grid(True,zorder=0)\n",
    "plt.savefig('Crunchbase_Acquisiton_rate_by_category.jpg', dpi=600, bbox_inches ='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Acquisition percentage by startup lifetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_year(s):\n",
    "    '''\n",
    "    Input: s: string in format of 1998, Aug-98 or any month\n",
    "    Output: year or 0 if year not given\n",
    "    '''\n",
    "    try:\n",
    "        return int(s[-4:])\n",
    "    except ValueError:\n",
    "        try:\n",
    "            if int(s[-2:])<30:\n",
    "                 return int('20'+s[-2:])\n",
    "            elif int(s[-2:])>29:\n",
    "                 return int('19'+s[-2:])\n",
    "        except ValueError:\n",
    "            return 0\n",
    "# df2['Founded Date'].fillna('0000').apply(lambda s:  to_year(s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the lifetime of each ccompany based on their founding and closing date\n",
    "df2['Founded Year'] = df2['Founded Date'].fillna('0000').apply(lambda s: to_year(s))\n",
    "df2['Lifetime'] = df2['Closed Date Year'] - df2['Founded Year']\n",
    "\n",
    "% matplotlib inline\n",
    "font = {'family': 'normal', 'weight': 'normal', 'size': 16}\n",
    "plt.rc('font', **font)\n",
    "fig = plt.figure(figsize=(9,8))\n",
    "# Gridplot with top and bottom figure\n",
    "gs = gridspec.GridSpec(2, 1,  height_ratios=[3, 1.5])\n",
    "gs.update(left=0.12, right=0.98, hspace=0.40)\n",
    "ax = plt.subplot(gs[0,0])\n",
    "# Define data for closed(t) and acquired (t_acq) companies\n",
    "t = pd.to_numeric(df2[(df2['Acquisition Status']!='Was Acquired')&(df2['Acquisition Status']!='Made Acquisitions, Was Acquired')&(df2['Lifetime'] <50)]['Lifetime'].dropna().values)\n",
    "t_acq = pd.to_numeric(df2[(df2['Acquisition Status']=='Was Acquired')|(df2['Acquisition Status']=='Made Acquisitions, Was Acquired')&(df2['Lifetime'] <50)]['Lifetime'].dropna().values)\n",
    "t_max = 30\n",
    "# Plot data and format axes\n",
    "(n, bins, patches)=ax.hist(t, bins=np.array(range(t_max)), rwidth =1,edgecolor='black',zorder=5)\n",
    "(n_acq, bins, patches)=ax.hist(t_acq, bins=np.array(range(t_max)), rwidth =1,edgecolor='black', color='yellowgreen',zorder=5)\n",
    "ax.set_xlim(left=-0.5, right=t_max-1.5)\n",
    "ax.set_xlabel('Lifetime (years)',fontsize=16)\n",
    "ax.set_ylabel('Number of companies',fontsize=16)\n",
    "ax.tick_params(axis='both', labelsize=16)\n",
    "ax.set_xticks(np.arange(0,t_max,3))\n",
    "\n",
    "# Add legend in top plot\n",
    "import matplotlib.lines as mlines\n",
    "blue_line = mlines.Line2D([], [], color='C0', label='not acquired & closed (TN)')\n",
    "green_line = mlines.Line2D([], [], color='yellowgreen', label='acquired & closed (FN)')\n",
    "legend = plt.legend(handles=[blue_line, green_line])\n",
    "for handle in legend.legendHandles:\n",
    "    handle.set_linewidth(9.0)\n",
    "\n",
    "ax1 = plt.subplot(gs[1,0])\n",
    "# l gives the bin position and l_width gives the width of each individual bin\n",
    "l = []\n",
    "l_width=[]\n",
    "b_0 = bins[0]\n",
    "for b in bins[1:]:\n",
    "    l.append((b_0+b)/2.)\n",
    "    l_width.append(b-b_0)\n",
    "    b_0=b\n",
    "\n",
    "### Plot acquisition percentage in bottom plot    \n",
    "# calculates the ratio of aquired to closed companies and removes singularities\n",
    "p= 100*(n_acq/n)\n",
    "p[p == inf] = 0\n",
    "# percentages are the acquisiton percentages lifetime year\n",
    "percentages = np.nan_to_num(p)\n",
    "# Plot bottom figure\n",
    "ax1.bar(l,percentages, width=1*np.array(l_width),edgecolor='black', color='grey',zorder=5)\n",
    "ax1.set_ylabel('Acqu. perc. (%)\\nof closed \\ncompanies')\n",
    "ax1.grid(b=True, which='major', axis='x',zorder=0)\n",
    "ax1.tick_params(axis='both', labelsize=16)\n",
    "ax1.set_xticks(np.arange(0,t_max,3))\n",
    "ax1.set_xlim(left=-0.5, right=t_max-1.5)\n",
    "ax1.set_xlabel('Lifetime (years)',fontsize=16)\n",
    "plt.savefig('Crunchbase_Lifetime.jpg', dpi=600, bbox_inches ='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "% matplotlib inline\n",
    "font = {'family': 'normal', 'weight': 'normal', 'size': 16}\n",
    "plt.rc('font', **font)\n",
    "fig = plt.figure(figsize=(9,6))\n",
    "# Gridplot with top and bottom figure\n",
    "gs = gridspec.GridSpec(2, 1,  height_ratios=[1, 1])\n",
    "gs.update(left=0.12, right=0.98, hspace=0.40)\n",
    "ax = plt.subplot(gs[0,0])\n",
    "# calculates the ratio of cumulative_aquired to cumulative_closed companies and removes singularities\n",
    "p_cum= 100*(np.cumsum(n_acq)/np.cumsum(n))\n",
    "p_cum[p_cum == inf] = 0\n",
    "# percentages are the acquisiton percentages lifetime year\n",
    "cum_percentages = np.nan_to_num(p_cum)\n",
    "ax.bar(l,cum_percentages, width=1*np.array(l_width),edgecolor='black', color='grey',zorder=5)\n",
    "ax.set_ylabel('Accumulated \\n Acquisiton \\n perc. (%)\\n of closed\\n companies')\n",
    "ax1.set_xlim(left=-0.5, right=t_max-1.5)\n",
    "ax.set_xlabel('Lifetime (years)',fontsize=16)\n",
    "plt.savefig('Crunchbase_acumulated_acquisition_percentage.jpg', dpi=600, bbox_inches ='tight')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}