EDA_ycombinator.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0c753157",
   "metadata": {},
   "source": [
    "# March, 2022 \n",
    "# Exploratory Data Analysis for the data of all listed companies on Ycombinator\n",
    "\n",
    "\n",
    "## Table of Contents\n",
    "<ul> \n",
    "    <li><a href=\"#intro\">Project Details</a></li>\n",
    "    <li><a href=\"#import\">Import libraries</a></li>\n",
    "    <li><a href=\"#read_data\">Read-In the Data</a></li>\n",
    "    <li><a href=\"#assess\">Assessing Data</a></li>\n",
    "    <li><a href=\"#assess_sum\">Assessment Summary</a></li>\n",
    "    <li><a href=\"#cleaning\">Cleaning Data/Column Engineering</a></li>\n",
    "    <li><a href=\"#store_data\">Storing Data</a></li>\n",
    "    <li><a href=\"#eda\">Analyzing, and Visualizing Data</a></li>\n",
    "    <li><a href='conclusions'>Conclusions</a></li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3906268c",
   "metadata": {},
   "source": [
    "<a id='intro'></a>\n",
    "### Project Details\n",
    "\n",
    "Tasks in this project are as follows:\n",
    "<ul>\n",
    "    <li>Data wrangling, which consists of:</li>\n",
    "        <ul>\n",
    "          <li>Gathering Data (Already performed in the <b> ycombinator_scraper.ipynb</b> file) </li>\n",
    "           <li>Assessing data</li>\n",
    "           <li>Cleaning data</li>\n",
    "         </ul>\n",
    "    <li>Storing, analyzing, and visualizing the wrangled data</li>\n",
    "    <li>Reporting on\n",
    "    <ol>\n",
    "          <li> data wrangling efforts and </li>\n",
    "           <li> data analyses and visualizations</li>\n",
    "         </ol> \n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27d24f86",
   "metadata": {},
   "source": [
    "<a id='import'></a>\n",
    "## Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "5667f28b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import necessary libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33c0910a",
   "metadata": {},
   "source": [
    "<a id='read_data'></a>\n",
    "## Read-In the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "67f13c35",
   "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>Company_Name</th>\n",
       "      <th>Company_Page_URL</th>\n",
       "      <th>Company_Location</th>\n",
       "      <th>Description_Head</th>\n",
       "      <th>Website</th>\n",
       "      <th>Description</th>\n",
       "      <th>Founded</th>\n",
       "      <th>Team_Size</th>\n",
       "      <th>Linkedin_Profile</th>\n",
       "      <th>Twitter_Profile</th>\n",
       "      <th>Facebook_Profile</th>\n",
       "      <th>Crunchbase_Profile</th>\n",
       "      <th>Active_Founder1</th>\n",
       "      <th>Active_Founder2</th>\n",
       "      <th>Active_Founder3</th>\n",
       "      <th>Active_Founder4</th>\n",
       "      <th>Active_Founder5</th>\n",
       "      <th>Active_Founder6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Airbnb</td>\n",
       "      <td>https://www.ycombinator.com/companies/airbnb</td>\n",
       "      <td>San Francisco, CA, USA</td>\n",
       "      <td>Book accommodations around the world.</td>\n",
       "      <td>http://airbnb.com</td>\n",
       "      <td>Founded in August of 2008 and based in San Fra...</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>https://www.linkedin.com/company/airbnb/</td>\n",
       "      <td>https://twitter.com/Airbnb</td>\n",
       "      <td>https://www.facebook.com/airbnb/</td>\n",
       "      <td>https://www.crunchbase.com/organization/airbnb</td>\n",
       "      <td>Nathan Blecharczyk\\nNone\\nhttps://twitter.com/...</td>\n",
       "      <td>Brian Chesky\\nNone\\nhttps://twitter.com/bchesky\\n</td>\n",
       "      <td>Joe Gebbia\\nNone\\nhttps://twitter.com/jgebbia\\n</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coinbase</td>\n",
       "      <td>https://www.ycombinator.com/companies/coinbase</td>\n",
       "      <td>San Francisco, CA, USA</td>\n",
       "      <td>Buy, sell, and manage cryptocurrencies.</td>\n",
       "      <td>https://www.coinbase.com</td>\n",
       "      <td>Founded in June of 2012, Coinbase is a digital...</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://twitter.com/coinbase</td>\n",
       "      <td>https://www.facebook.com/Coinbase/</td>\n",
       "      <td>https://www.crunchbase.com/organization/coinbase</td>\n",
       "      <td>Brian Armstrong\\nCEO\\nhttps://twitter.com/bria...</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>2</th>\n",
       "      <td>DoorDash</td>\n",
       "      <td>https://www.ycombinator.com/companies/doordash</td>\n",
       "      <td>San Francisco, CA, USA</td>\n",
       "      <td>Restaurant delivery.</td>\n",
       "      <td>http://doordash.com</td>\n",
       "      <td>Founded in 2013, DoorDash is a San Francisco-b...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>https://www.linkedin.com/company/doordash/</td>\n",
       "      <td>http://twitter.com/doordash</td>\n",
       "      <td>https://www.facebook.com/DoorDash/</td>\n",
       "      <td>https://www.crunchbase.com/organization/doordash</td>\n",
       "      <td>Andy Fang\\nFounder\\n</td>\n",
       "      <td>Stanley Tang\\nFounder\\n</td>\n",
       "      <td>Tony Xu\\nCEO\\n</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Company_Name                                Company_Page_URL  \\\n",
       "0       Airbnb    https://www.ycombinator.com/companies/airbnb   \n",
       "1     Coinbase  https://www.ycombinator.com/companies/coinbase   \n",
       "2     DoorDash  https://www.ycombinator.com/companies/doordash   \n",
       "\n",
       "         Company_Location                         Description_Head  \\\n",
       "0  San Francisco, CA, USA    Book accommodations around the world.   \n",
       "1  San Francisco, CA, USA  Buy, sell, and manage cryptocurrencies.   \n",
       "2  San Francisco, CA, USA                     Restaurant delivery.   \n",
       "\n",
       "                    Website  \\\n",
       "0         http://airbnb.com   \n",
       "1  https://www.coinbase.com   \n",
       "2       http://doordash.com   \n",
       "\n",
       "                                         Description  Founded  Team_Size  \\\n",
       "0  Founded in August of 2008 and based in San Fra...   2008.0     5000.0   \n",
       "1  Founded in June of 2012, Coinbase is a digital...   2012.0      500.0   \n",
       "2  Founded in 2013, DoorDash is a San Francisco-b...      NaN     1600.0   \n",
       "\n",
       "                             Linkedin_Profile               Twitter_Profile  \\\n",
       "0    https://www.linkedin.com/company/airbnb/    https://twitter.com/Airbnb   \n",
       "1                                         NaN  https://twitter.com/coinbase   \n",
       "2  https://www.linkedin.com/company/doordash/   http://twitter.com/doordash   \n",
       "\n",
       "                     Facebook_Profile  \\\n",
       "0    https://www.facebook.com/airbnb/   \n",
       "1  https://www.facebook.com/Coinbase/   \n",
       "2  https://www.facebook.com/DoorDash/   \n",
       "\n",
       "                                 Crunchbase_Profile  \\\n",
       "0    https://www.crunchbase.com/organization/airbnb   \n",
       "1  https://www.crunchbase.com/organization/coinbase   \n",
       "2  https://www.crunchbase.com/organization/doordash   \n",
       "\n",
       "                                     Active_Founder1  \\\n",
       "0  Nathan Blecharczyk\\nNone\\nhttps://twitter.com/...   \n",
       "1  Brian Armstrong\\nCEO\\nhttps://twitter.com/bria...   \n",
       "2                               Andy Fang\\nFounder\\n   \n",
       "\n",
       "                                     Active_Founder2  \\\n",
       "0  Brian Chesky\\nNone\\nhttps://twitter.com/bchesky\\n   \n",
       "1                                                NaN   \n",
       "2                            Stanley Tang\\nFounder\\n   \n",
       "\n",
       "                                   Active_Founder3 Active_Founder4  \\\n",
       "0  Joe Gebbia\\nNone\\nhttps://twitter.com/jgebbia\\n             NaN   \n",
       "1                                              NaN             NaN   \n",
       "2                                   Tony Xu\\nCEO\\n             NaN   \n",
       "\n",
       "  Active_Founder5 Active_Founder6  \n",
       "0             NaN             NaN  \n",
       "1             NaN             NaN  \n",
       "2             NaN             NaN  "
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read in the dataset\n",
    "data = pd.read_csv(\"ycombinator_data.csv\")\n",
    "\n",
    "data.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "560eb0e6",
   "metadata": {},
   "source": [
    "<a id='assess'></a>\n",
    "## Assessing Data\n",
    "Assess the data visually and programmatically for quality and tidiness issues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "369f77f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 18 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   Company_Name        1000 non-null   object \n",
      " 1   Company_Page_URL    1000 non-null   object \n",
      " 2   Company_Location    984 non-null    object \n",
      " 3   Description_Head    996 non-null    object \n",
      " 4   Website             999 non-null    object \n",
      " 5   Description         972 non-null    object \n",
      " 6   Founded             824 non-null    float64\n",
      " 7   Team_Size           987 non-null    float64\n",
      " 8   Linkedin_Profile    728 non-null    object \n",
      " 9   Twitter_Profile     650 non-null    object \n",
      " 10  Facebook_Profile    387 non-null    object \n",
      " 11  Crunchbase_Profile  643 non-null    object \n",
      " 12  Active_Founder1     987 non-null    object \n",
      " 13  Active_Founder2     789 non-null    object \n",
      " 14  Active_Founder3     242 non-null    object \n",
      " 15  Active_Founder4     51 non-null     object \n",
      " 16  Active_Founder5     7 non-null      object \n",
      " 17  Active_Founder6     1 non-null      object \n",
      "dtypes: float64(2), object(16)\n",
      "memory usage: 140.8+ KB\n"
     ]
    }
   ],
   "source": [
    "# show conscise summary of the data\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "366f438b",
   "metadata": {},
   "source": [
    "Columns with Non-Null Count not equal to 1000 shows the presence of missing values. This represented data that were not included for the company on the website.\n",
    "\n",
    "No inappropriate datatype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "38c008d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Company_Name           997\n",
       "Company_Page_URL      1000\n",
       "Company_Location       201\n",
       "Description_Head       996\n",
       "Website                999\n",
       "Description            972\n",
       "Founded                 17\n",
       "Team_Size              136\n",
       "Linkedin_Profile       728\n",
       "Twitter_Profile        650\n",
       "Facebook_Profile       387\n",
       "Crunchbase_Profile     643\n",
       "Active_Founder1        984\n",
       "Active_Founder2        788\n",
       "Active_Founder3        242\n",
       "Active_Founder4         51\n",
       "Active_Founder5          7\n",
       "Active_Founder6          1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count the number of unique values in each column of the data\n",
    "data.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "f471f14a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Nash          2\n",
       "Atlas         2\n",
       "Streak        2\n",
       "Pardes Bio    1\n",
       "Aspire        1\n",
       "             ..\n",
       "Wevorce       1\n",
       "TRM Labs      1\n",
       "Cratejoy      1\n",
       "Greentoe      1\n",
       "Proper        1\n",
       "Name: Company_Name, Length: 997, dtype: int64"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check for the counts of each company's name\n",
    "data['Company_Name'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "563f45a3",
   "metadata": {},
   "source": [
    "It could be seen that **Nash**, **Atlas** and **Streak** appeared twice. this must have been an issue of duplicated listings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "e8074924",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check for duplicate values\n",
    "data.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "762011b1",
   "metadata": {},
   "source": [
    "Contrary to what the preceding assessment showed, there is no duplicate entry. Though, no company would have bear the same name, yet, I would close my eye to this issue of duplicate values since it is only in 3 cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "f5b4b409",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2021.0    276\n",
       "2020.0    120\n",
       "2019.0     60\n",
       "2015.0     59\n",
       "2014.0     49\n",
       "2012.0     44\n",
       "2017.0     44\n",
       "2018.0     36\n",
       "2013.0     36\n",
       "2016.0     31\n",
       "2011.0     29\n",
       "2022.0     26\n",
       "2009.0      4\n",
       "2008.0      4\n",
       "2010.0      2\n",
       "2007.0      2\n",
       "2006.0      2\n",
       "Name: Founded, dtype: int64"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check for the counts of the founded year\n",
    "data['Founded'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7966c189",
   "metadata": {},
   "source": [
    "MOst companies are founded in the year 2021"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "f349c61e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.0      124\n",
       "3.0       84\n",
       "4.0       47\n",
       "5.0       41\n",
       "11.0      37\n",
       "        ... \n",
       "79.0       1\n",
       "165.0      1\n",
       "161.0      1\n",
       "260.0      1\n",
       "54.0       1\n",
       "Name: Team_Size, Length: 136, dtype: int64"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Team_Size'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c010db7f",
   "metadata": {},
   "source": [
    "No inconsistent value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "5216993d",
   "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>Founded</th>\n",
       "      <th>Team_Size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>824.000000</td>\n",
       "      <td>987.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2017.961165</td>\n",
       "      <td>91.204661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.521977</td>\n",
       "      <td>300.987969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2006.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2015.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2020.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2021.000000</td>\n",
       "      <td>53.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2022.000000</td>\n",
       "      <td>5000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Founded    Team_Size\n",
       "count   824.000000   987.000000\n",
       "mean   2017.961165    91.204661\n",
       "std       3.521977   300.987969\n",
       "min    2006.000000     0.000000\n",
       "25%    2015.000000     4.000000\n",
       "50%    2020.000000    12.000000\n",
       "75%    2021.000000    53.500000\n",
       "max    2022.000000  5000.000000"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show basic statistics of the numeric variables of the data\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "777a5300",
   "metadata": {},
   "source": [
    "<a id='assess_sum'></a>\n",
    "## Assessment Summary\n",
    "\n",
    "1. There is a case of duplicated company names (Nash, Atlas and Streak) which appeared twice and have their characteristics to be different which is making me to decide to neglect the issue.\n",
    "2. Missing data are represented with NaN which would not be handled as they in most cases represented charateristics that are not available for the particular company\n",
    "3. A new variable showing the `Country_Of_Origin` of the company should be extracted from the Company_Location column\n",
    "4. Another variable `Number_Of_Founders` should also be extracted from Active_Founder1 through to Active_Founder6"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b428d149",
   "metadata": {},
   "source": [
    "<a id='cleaning'></a>\n",
    "## Cleaning/Column Engineering\n",
    "\n",
    "Issues identified in assessment would be treated here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "c63eab0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# make copies of individual dataframes to perform the cleaning on\n",
    "df = data.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2b5ae18",
   "metadata": {},
   "source": [
    "> ###### A new variable showing the `Country_Of_Origin` of the company should be extracted from the Company_Location column\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "2c7c5a09",
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract the countries\n",
    "country_list = [str(location).split(\",\")[-1].strip() for location in df[\"Company_Location\"].values]\n",
    "# add the new column\n",
    "df[\"Country_Of_Origin\"] = country_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "054cdfd4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Abu Dhabi - United Arab Emirates      1\n",
       "Algeria                               1\n",
       "Argentina                             5\n",
       "Australia                             5\n",
       "Austria                               1\n",
       "Bangladesh                            1\n",
       "Brazil                               12\n",
       "Canada                               36\n",
       "Chile                                 6\n",
       "China                                 1\n",
       "Colombia                             10\n",
       "Costa Rica                            1\n",
       "Denmark                               4\n",
       "Dubai - United Arab Emirates          4\n",
       "Egypt                                 2\n",
       "Estonia                               2\n",
       "Ethiopia                              1\n",
       "Finland                               2\n",
       "France                                8\n",
       "Georgia                               1\n",
       "Germany                               8\n",
       "Ghana                                 1\n",
       "Hong Kong                             4\n",
       "Hungary                               1\n",
       "India                                48\n",
       "Indonesia                            22\n",
       "Ireland                               1\n",
       "Israel                                4\n",
       "Kenya                                 2\n",
       "Malaysia                              3\n",
       "Mexico                               16\n",
       "Namibia                               1\n",
       "Nepal                                 1\n",
       "Netherlands                           5\n",
       "New Zealand                           1\n",
       "Nigeria                              25\n",
       "Norway                                2\n",
       "Pakistan                              5\n",
       "Panama                                2\n",
       "Peru                                  1\n",
       "Poland                                1\n",
       "Senegal                               2\n",
       "Singapore                            16\n",
       "South Korea                           3\n",
       "Spain                                 6\n",
       "Sudan                                 1\n",
       "Sweden                                4\n",
       "Switzerland                           3\n",
       "Taiwan                                1\n",
       "Turkey                                1\n",
       "UK                                   28\n",
       "USA                                 654\n",
       "Uganda                                1\n",
       "Venezuela                             2\n",
       "Vietnam                               4\n",
       "nan                                  16\n",
       "Name: Country_Of_Origin, dtype: int64"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check for inconsistency\n",
    "df[\"Country_Of_Origin\"].value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f01af6ab",
   "metadata": {},
   "source": [
    "map the following:\n",
    "\n",
    " mapper = {\"nan\": np.NaN, \"UAE\": \"Dubai - United Arab Emirates\", \"UAE\": \"Abu Dhabi - United Arab Emirates\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "6c2db58d",
   "metadata": {},
   "outputs": [],
   "source": [
    "mapper = {\"nan\": np.NaN, \"Dubai - United Arab Emirates\" :\"UAE\", \"Abu Dhabi - United Arab Emirates\":\"UAE\"}\n",
    "df[\"Country_Of_Origin\"].replace(mapper, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "d4ca21a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Algeria          1\n",
       "Argentina        5\n",
       "Australia        5\n",
       "Austria          1\n",
       "Bangladesh       1\n",
       "Brazil          12\n",
       "Canada          36\n",
       "Chile            6\n",
       "China            1\n",
       "Colombia        10\n",
       "Costa Rica       1\n",
       "Denmark          4\n",
       "Egypt            2\n",
       "Estonia          2\n",
       "Ethiopia         1\n",
       "Finland          2\n",
       "France           8\n",
       "Georgia          1\n",
       "Germany          8\n",
       "Ghana            1\n",
       "Hong Kong        4\n",
       "Hungary          1\n",
       "India           48\n",
       "Indonesia       22\n",
       "Ireland          1\n",
       "Israel           4\n",
       "Kenya            2\n",
       "Malaysia         3\n",
       "Mexico          16\n",
       "Namibia          1\n",
       "Nepal            1\n",
       "Netherlands      5\n",
       "New Zealand      1\n",
       "Nigeria         25\n",
       "Norway           2\n",
       "Pakistan         5\n",
       "Panama           2\n",
       "Peru             1\n",
       "Poland           1\n",
       "Senegal          2\n",
       "Singapore       16\n",
       "South Korea      3\n",
       "Spain            6\n",
       "Sudan            1\n",
       "Sweden           4\n",
       "Switzerland      3\n",
       "Taiwan           1\n",
       "Turkey           1\n",
       "UAE              5\n",
       "UK              28\n",
       "USA            654\n",
       "Uganda           1\n",
       "Venezuela        2\n",
       "Vietnam          4\n",
       "Name: Country_Of_Origin, dtype: int64"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Country_Of_Origin\"].value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfd17fcf",
   "metadata": {},
   "source": [
    "> ###### variable `Number_Of_Founders` should also be extracted from Active_Founder1 through to Active_Founder6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "68e4efcd",
   "metadata": {},
   "outputs": [],
   "source": [
    "founder_col = [\"Active_Founder1\", \"Active_Founder2\", \"Active_Founder3\", \"Active_Founder4\", \"Active_Founder5\", \"Active_Founder6\"]\n",
    "# where Active_Founder1 - Active_Founder6 are not NaN\n",
    "df[\"Number_Of_Founder\"] = 6 - df[founder_col].isna().sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "99747614",
   "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>Active_Founder1</th>\n",
       "      <th>Active_Founder2</th>\n",
       "      <th>Active_Founder3</th>\n",
       "      <th>Active_Founder4</th>\n",
       "      <th>Active_Founder5</th>\n",
       "      <th>Active_Founder6</th>\n",
       "      <th>Number_Of_Founder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Nathan Blecharczyk\\nNone\\nhttps://twitter.com/...</td>\n",
       "      <td>Brian Chesky\\nNone\\nhttps://twitter.com/bchesky\\n</td>\n",
       "      <td>Joe Gebbia\\nNone\\nhttps://twitter.com/jgebbia\\n</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brian Armstrong\\nCEO\\nhttps://twitter.com/bria...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Andy Fang\\nFounder\\n</td>\n",
       "      <td>Stanley Tang\\nFounder\\n</td>\n",
       "      <td>Tony Xu\\nCEO\\n</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Active_Founder1  \\\n",
       "0  Nathan Blecharczyk\\nNone\\nhttps://twitter.com/...   \n",
       "1  Brian Armstrong\\nCEO\\nhttps://twitter.com/bria...   \n",
       "2                               Andy Fang\\nFounder\\n   \n",
       "\n",
       "                                     Active_Founder2  \\\n",
       "0  Brian Chesky\\nNone\\nhttps://twitter.com/bchesky\\n   \n",
       "1                                                NaN   \n",
       "2                            Stanley Tang\\nFounder\\n   \n",
       "\n",
       "                                   Active_Founder3 Active_Founder4  \\\n",
       "0  Joe Gebbia\\nNone\\nhttps://twitter.com/jgebbia\\n             NaN   \n",
       "1                                              NaN             NaN   \n",
       "2                                   Tony Xu\\nCEO\\n             NaN   \n",
       "\n",
       "  Active_Founder5 Active_Founder6  Number_Of_Founder  \n",
       "0             NaN             NaN                  3  \n",
       "1             NaN             NaN                  1  \n",
       "2             NaN             NaN                  3  "
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "founder_col2 = [\"Active_Founder1\", \"Active_Founder2\", \"Active_Founder3\", \"Active_Founder4\", \"Active_Founder5\", \n",
    "                \"Active_Founder6\", \"Number_Of_Founder\"]\n",
    "df[founder_col2].head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7e25636",
   "metadata": {},
   "source": [
    "<a id='store_data'></a>\n",
    "## Storing Data\n",
    "store the prepared data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "cb2f3e95",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('prepared_data.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d80521ed",
   "metadata": {},
   "source": [
    "<a id='eda'></a>\n",
    "## Analyzing, and Visualizing Data\n",
    "> ## Univariate Analysis\n",
    "       1. Analyse and Visualize the most represented country (Country_Of_Origin) on ycombinator\n",
    "       2. Analyse and Visualizing the distribution of the Year founded of the companies\n",
    "       3. Analyse and visualize the distribution of the team size of the companies\n",
    "       4. Analyse and visualize the distribution of the Number_Of_Founder of the companies\n",
    "\n",
    "\n",
    "> ## Bi-variate Analysis\n",
    "       5. Analyse and visualize the relationship between Country_Of_Origin, and Year founded.\n",
    "       6. Analyse and visualize the relationship between Country_Of_Origin, and team size.\n",
    "       7. Analyse and visualize the relationship between Country_Of_Origin, and Number_Of_Founder.\n",
    "       8. Analyse the relationship between Number_Of_Founder, and team size."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "298798e1",
   "metadata": {},
   "source": [
    "> ##### Analyse and Visualize the most represented country (Country_Of_Origin) on ycombinator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "358ff8db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "USA            654\n",
      "India           48\n",
      "Canada          36\n",
      "UK              28\n",
      "Nigeria         25\n",
      "Indonesia       22\n",
      "Singapore       16\n",
      "Mexico          16\n",
      "Brazil          12\n",
      "Colombia        10\n",
      "France           8\n",
      "Germany          8\n",
      "Chile            6\n",
      "Spain            6\n",
      "Australia        5\n",
      "Netherlands      5\n",
      "Pakistan         5\n",
      "UAE              5\n",
      "Argentina        5\n",
      "Hong Kong        4\n",
      "Sweden           4\n",
      "Vietnam          4\n",
      "Denmark          4\n",
      "Israel           4\n",
      "South Korea      3\n",
      "Switzerland      3\n",
      "Malaysia         3\n",
      "Senegal          2\n",
      "Venezuela        2\n",
      "Finland          2\n",
      "Egypt            2\n",
      "Norway           2\n",
      "Kenya            2\n",
      "Estonia          2\n",
      "Panama           2\n",
      "Nepal            1\n",
      "Hungary          1\n",
      "Georgia          1\n",
      "New Zealand      1\n",
      "Ireland          1\n",
      "China            1\n",
      "Ethiopia         1\n",
      "Costa Rica       1\n",
      "Namibia          1\n",
      "Sudan            1\n",
      "Peru             1\n",
      "Austria          1\n",
      "Bangladesh       1\n",
      "Uganda           1\n",
      "Taiwan           1\n",
      "Poland           1\n",
      "Ghana            1\n",
      "Turkey           1\n",
      "Algeria          1\n",
      "Name: Country_Of_Origin, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# print the counts of the 10 most represented countries\n",
    "print(df['Country_Of_Origin'].value_counts())\n",
    "\n",
    "# set the plot size\n",
    "plt.figure(figsize = (17,6))\n",
    "\n",
    "#value_counts already in descending order of value\n",
    "ax = sns.barplot(x = df['Country_Of_Origin'].value_counts().index, \n",
    "                 y =df['Country_Of_Origin'].value_counts().values,\n",
    "                 data = df);\n",
    "\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90, fontsize = 14);\n",
    "#label x axis\n",
    "plt.xlabel(\"Countries of the Startups\",fontsize = 18);\n",
    "plt.ylabel(\"Count\",fontsize = 16);\n",
    "# title the graph\n",
    "plt.title(\"Distribution of Represented Countries\",fontsize = 16);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d394aa63",
   "metadata": {},
   "source": [
    "As it could be seen from the analysis and the graph, the most represented country of all is the **USA** which counts 654 of the total 1000 companies. It is followed by India, Canada, UK, Nigeria and Indonesia"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2829bc44",
   "metadata": {},
   "source": [
    "> ##### Analyse and Visualizing the distribution of the Year founded of the companies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "20e181ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021.0    276\n",
      "2020.0    120\n",
      "2019.0     60\n",
      "2015.0     59\n",
      "2014.0     49\n",
      "2012.0     44\n",
      "2017.0     44\n",
      "2018.0     36\n",
      "2013.0     36\n",
      "2016.0     31\n",
      "2011.0     29\n",
      "2022.0     26\n",
      "2009.0      4\n",
      "2008.0      4\n",
      "2010.0      2\n",
      "2007.0      2\n",
      "2006.0      2\n",
      "Name: Founded, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# print the counts of the years\n",
    "print(df['Founded'].value_counts())\n",
    "\n",
    "\n",
    "# set the plot size\n",
    "plt.figure(figsize = (17,6))\n",
    "\n",
    "#value_counts already in descending order of value\n",
    "ax = sns.countplot(x=df['Founded'])\n",
    "\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90, fontsize = 14);\n",
    "#label x axis\n",
    "plt.xlabel(\"Years\",fontsize = 18)\n",
    "plt.ylabel(\"Count\",fontsize = 16)\n",
    "# title the graph\n",
    "plt.title(\"Distribution of Year Founded\",fontsize = 16);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea74937a",
   "metadata": {},
   "source": [
    "It could be seen that the more recent a company is founded, the likely it is to be funded/listed by ycombinator"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfca3103",
   "metadata": {},
   "source": [
    "> ##### Analyse and visualize the distribution of the team size of the companies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "f5444544",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count     987.000000\n",
      "mean       91.204661\n",
      "std       300.987969\n",
      "min         0.000000\n",
      "25%         4.000000\n",
      "50%        12.000000\n",
      "75%        53.500000\n",
      "max      5000.000000\n",
      "Name: Team_Size, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnEAAAFNCAYAAABv3TlzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAgaUlEQVR4nO3de7hddX3n8ffHAEHkIpTLEwMabFMr0BE1MKK2tYUWvIbOiKbjJThYeqFabb0Eta12zAzttPY62KbqENFK422I9RpTtZexxKAghItEucXERHHkIg6W+O0fax3dHk6SE3LWOeeXvF/Ps5+99m/91lrf/TvrCR/WZa9UFZIkSWrLQ2a6AEmSJO0+Q5wkSVKDDHGSJEkNMsRJkiQ1yBAnSZLUIEOcJElSgwxxkiRJDTLESfq+JH+V5HemaF2PTHJPkjn9508neelUrLtf30eTLJ2q9e3Gdt+c5BtJvjbd2x7KTI2lpD0Tf+xX2jckuQU4Brgf2A5cB7wTWFFV33sQ63ppVX1yN5b5NPCuqnrb7myrX/aNwI9V1Qt3d9mplOQ44EvAo6pq27h5LwD+uv84B5gL3Ds2v6oOnq46J5LkdcAvA0cB3wL+paqeP5M1SdozHomT9i3PrqpDgEcBFwGvBd4+1RtJst9Ur3OWeBRwx/gAB1BV766qg/uw9nRg89jnWRDglgIvAs7oa1kErJ3JmiTtOUOctA+qqjurajXwfGBpkpMAklyS5M399JFJ/j7Jt5J8M8k/JXlIkkuBRwIf6k+XvibJgiSV5LwktwH/MNI2Guh+NMm6JHcmuTzJEf22npZk02iNSW5JckaSs4DXAc/vt3d1P//7p2f7ut6Q5NYk25K8M8lh/byxOpYmua0/Ffr6HY1NksP65b/er+8N/frPANYAj+jruGSy453kEUne36/z5iQvH5l3apLP9uO8JclfJjlgZH4l+fUkNyW5O8l/S/Kj/TJ3JVk12n8HTgE+XlVfBqiqr1XVipFtjI7l1f33G3tVkqf1856U5P/2tV491i5pZhjipH1YVa0DNgE/NcHs3+7nHUV3GvZ13SL1IuA2uqN6B1fVH44s8zPAY4Ezd7DJFwP/FXgE3WndP59EjR8D/jvwd/32HjdBt3P7188CjwYOBv5yXJ+nAo8BTgd+N8ljd7DJvwAO69fzM33NL+lPHY8eYTt3V7VDFzCBDwFXA/P77b8iydgYbQdeCRwJnNbP//VxqzkLeCLwJOA1wArgBcBxwEnAL+2ijH8FXpzk1UkWjV2nOJGqetzI0cPfAm4EPp9kPvBh4M3AEcCrgPcnOWrXoyBpCIY4SZvp/qM83r8B8+iu//q3qvqn2vVFtG+sqm9X1Xd2MP/Sqrq2qr4N/A7wvJ0Fit3wAuAtVfWVqroHuBBYMu4o4Juq6jtVdTVdoHpAGOxreT5wYVXdXVW3AH9MdyrywToFOKqqfr+qvltVXwH+BlgCUFVXVtW/VtX9/fb+mi48jvqDqrqrqjYA1wKf6L/rncBHgcfvrICqehfwMrpw/RlgW5JlO1smyVPpAttzquou4IXAR6rqI1X1vapaA6wHnrEbYyFpChniJM0HvjlB+/8ENgKfSPKVXf1Hv3f7bsy/Fdif7gjUnnpEv77Rde9HdwRxzOjdpPfSHa0b70jggAnWNX8PansU3SnYb4296I5qHgOQ5Mf709ZfS3IX3VHH8WOydWT6OxN83uU1d/01e2cADwd+Ffj9kaOBP6S/gWMVsLSqvjTyPc4Z9z2eShf0Jc0AQ5y0D0tyCl1A+efx8/ojUb9dVY8Gng38VpLTx2bvYJW7OlJ33Mj0I+mO9n0D+DZw0Ehdc+hO4052vZvpQsbouu/nh8POZHyjr2n8ur66m+sZdTtwc1U9fOR1SFWNHcF6K3ADsLCqDqULeNmD7e1Uf1T1vcAX6U7F/pAkDwX+D/CnVfXRcd/j0nHf42FVddFQtUraOUOctA9KcmiSZwGX0f3sxzUT9HlWkh9LEuAuumu3tvezt9JdM7a7XpjkhCQHAb8PvK+qttP9bMeBSZ6ZZH/gDXQ/0TFmK7Cgv75sIu8BXpnk+CQH84Nr6O7fneL6WlYBy5MckuRRdNeFvWt31jPOOuCuJK9N8tAkc5Kc1AdogEPoxveeJD8B/NoebGtCSc7tx/aQ/iaNpwMnAldM0P0dwA3jrnWEbgyeneTM/jscmO6GlGOnul5Jk2OIk/YtH0pyN91RldcDbwFesoO+C4FPAvcAnwUurqpP9/P+B/CG/rTaq3Zj+5cCl9Cd2jwQeDl0d8vSXcz/NrqjXt+mu6lizHv79zuSfH6C9b6jX/c/AjcD/5/uGrAH42X99r9Cd4Tyb/v1Pyh9MHw2cHJf2zfovudhfZdXAf8FuJvuWrm/e7Db2om76I7w3Ub3G3F/CPxaVT3gCCzdtXq/OO4O1Z+qqtuBxf16vk63D70a/zsizRh/7FeSJKlB/h+UJElSgwxxkrQXSPK6cadAx14f3fXSklrk6VRJkqQGeSROkiSpQU0/pPrII4+sBQsWzHQZkiRJu3TllVd+o6qm7FF1TYe4BQsWsH79+pkuQ5IkaZeS3LrrXpPn6VRJkqQGGeIkSZIaZIiTJElqkCFOkiSpQYY4SZKkBhniJEmSGjRoiEvyyiQbklyb5D1JDkxyRJI1SW7q3w8f6X9hko1Jbkxy5pC1SZIktWywEJdkPvByYFFVnQTMAZYAy4C1VbUQWNt/JskJ/fwTgbOAi5PMGao+SZKklg19OnU/4KFJ9gMOAjYDi4GV/fyVwNn99GLgsqq6r6puBjYCpw5cnyRJUpMGC3FV9VXgj4DbgC3AnVX1CeCYqtrS99kCHN0vMh+4fWQVm/o2SZIkjTPk6dTD6Y6uHQ88AnhYkhfubJEJ2mqC9Z6fZH2S9V//+tenplhJkqTGDPns1DOAm6vq6wBJPgA8GdiaZF5VbUkyD9jW998EHDey/LF0p19/SFWtAFYAzJ23sBYs+/CUFHvLRc+ckvVIkiRNhyGvibsNeFKSg5IEOB24HlgNLO37LAUu76dXA0uSzE1yPLAQWDdgfZIkSc0a7EhcVV2R5H3A54H7gS/QHUE7GFiV5Dy6oHdO339DklXAdX3/C6pq+1D1SZIktWzI06lU1e8Bvzeu+T66o3IT9V8OLB+yJkmSpL2BT2yQJElqkCFOkiSpQYY4SZKkBhniJEmSGmSIkyRJapAhTpIkqUGGOEmSpAYZ4iRJkhpkiJMkSWqQIU6SJKlBhjhJkqQGGeIkSZIaZIiTJElqkCFOkiSpQYY4SZKkBhniJEmSGmSIkyRJapAhTpIkqUGGOEmSpAYZ4iRJkhpkiJMkSWqQIU6SJKlBhjhJkqQGGeIkSZIaNFiIS/KYJFeNvO5K8ookRyRZk+Sm/v3wkWUuTLIxyY1JzhyqNkmSpNYNFuKq6saqOrmqTgaeCNwLfBBYBqytqoXA2v4zSU4AlgAnAmcBFyeZM1R9kiRJLZuu06mnA1+uqluBxcDKvn0lcHY/vRi4rKruq6qbgY3AqdNUnyRJUlOmK8QtAd7TTx9TVVsA+vej+/b5wO0jy2zq2yRJkjTO4CEuyQHAc4D37qrrBG01wfrOT7I+yfrt9945FSVKkiQ1ZzqOxD0d+HxVbe0/b00yD6B/39a3bwKOG1nuWGDz+JVV1YqqWlRVi+YcdNiAZUuSJM1e0xHifokfnEoFWA0s7aeXApePtC9JMjfJ8cBCYN001CdJktSc/YZceZKDgJ8HfmWk+SJgVZLzgNuAcwCqakOSVcB1wP3ABVW1fcj6JEmSWjVoiKuqe4EfGdd2B93dqhP1Xw4sH7ImSZKkvYFPbJAkSWqQIU6SJKlBhjhJkqQGGeIkSZIaZIiTJElqkCFOkiSpQYY4SZKkBhniJEmSGmSIkyRJapAhTpIkqUGGOEmSpAYZ4iRJkhpkiJMkSWqQIU6SJKlBhjhJkqQGGeIkSZIaZIiTJElqkCFOkiSpQYY4SZKkBhniJEmSGmSIkyRJapAhTpIkqUGGOEmSpAYNGuKSPDzJ+5LckOT6JKclOSLJmiQ39e+Hj/S/MMnGJDcmOXPI2iRJklo29JG4PwM+VlU/ATwOuB5YBqytqoXA2v4zSU4AlgAnAmcBFyeZM3B9kiRJTRosxCU5FPhp4O0AVfXdqvoWsBhY2XdbCZzdTy8GLquq+6rqZmAjcOpQ9UmSJLVsyCNxjwa+DvzvJF9I8rYkDwOOqaotAP370X3/+cDtI8tv6tskSZI0zpAhbj/gCcBbq+rxwLfpT53uQCZoqwd0Ss5Psj7J+u333jk1lUqSJDVmyBC3CdhUVVf0n99HF+q2JpkH0L9vG+l/3MjyxwKbx6+0qlZU1aKqWjTnoMMGK16SJGk2GyzEVdXXgNuTPKZvOh24DlgNLO3blgKX99OrgSVJ5iY5HlgIrBuqPkmSpJbtN/D6Xwa8O8kBwFeAl9AFx1VJzgNuA84BqKoNSVbRBb37gQuqavvA9UmSJDVp0BBXVVcBiyaYdfoO+i8Hlg9ZkyRJ0t7AJzZIkiQ1yBAnSZLUIEOcJElSgwxxkiRJDTLESZIkNcgQJ0mS1CBDnCRJUoMMcZIkSQ0yxEmSJDXIECdJktQgQ5wkSVKDDHGSJEkNMsRJkiQ1yBAnSZLUIEOcJElSgwxxkiRJDTLESZIkNcgQJ0mS1CBDnCRJUoMMcZIkSQ0yxEmSJDXIECdJktQgQ5wkSVKDDHGSJEkNGjTEJbklyTVJrkqyvm87IsmaJDf174eP9L8wycYkNyY5c8jaJEmSWjYdR+J+tqpOrqpF/edlwNqqWgis7T+T5ARgCXAicBZwcZI501CfJElSc2bidOpiYGU/vRI4e6T9sqq6r6puBjYCp05/eZIkSbPf0CGugE8kuTLJ+X3bMVW1BaB/P7pvnw/cPrLspr5NkiRJ4+w38PqfUlWbkxwNrElyw076ZoK2ekCnLgyeDzDn0KOmpkpJkqTGDHokrqo29+/bgA/SnR7dmmQeQP++re++CThuZPFjgc0TrHNFVS2qqkVzDjpsyPIlSZJmrcFCXJKHJTlkbBr4BeBaYDWwtO+2FLi8n14NLEkyN8nxwEJg3VD1SZIktWzI06nHAB9MMradv62qjyX5HLAqyXnAbcA5AFW1Ickq4DrgfuCCqto+YH2SJEnNGizEVdVXgMdN0H4HcPoOllkOLB+qJkmSpL2FT2yQJElqkCFOkiSpQYY4SZKkBhniJEmSGmSIkyRJapAhTpIkqUGGOEmSpAYZ4iRJkho0qRCX5CmTaZMkSdL0mOyRuL+YZJskSZKmwU4fu5XkNODJwFFJfmtk1qHAnCELkyRJ0o7t6tmpBwAH9/0OGWm/C3juUEVJkiRp53Ya4qrqM8BnklxSVbdOU02SJEnahV0diRszN8kKYMHoMlX1c0MUJUmSpJ2bbIh7L/BXwNuA7cOVI0mSpMmYbIi7v6reOmglkiRJmrTJ/sTIh5L8epJ5SY4Yew1amSRJknZoskfilvbvrx5pK+DRU1uOJEmSJmNSIa6qjh+6EEmSJE3epEJckhdP1F5V75zaciRJkjQZkz2desrI9IHA6cDnAUOcJEnSDJjs6dSXjX5Ochhw6SAVSZIkaZcme3fqePcCC6eyEEmSJE3eZK+J+xDd3ajQPfj+scCqSS47B1gPfLWqntX/NMnf0T394RbgeVX1//q+FwLn0f2g8Mur6uOT/iaSJEn7kMleE/dHI9P3A7dW1aZJLvubwPXAof3nZcDaqrooybL+82uTnAAsAU4EHgF8MsmPV5VPiJAkSRpnUqdTq+ozwA3AIcDhwHcns1ySY4Fn0j2ua8xiYGU/vRI4e6T9sqq6r6puBjYCp05mO5IkSfuaSYW4JM8D1gHnAM8Drkjy3Eks+qfAa4DvjbQdU1VbAPr3o/v2+cDtI/029W2SJEkaZ7KnU18PnFJV2wCSHAV8EnjfjhZI8ixgW1VdmeRpk9hGJmirB3RKzgfOB5hz6FGTWK0kSdLeZ7Ih7iFjAa53B7s+ivcU4DlJnkH323KHJnkXsDXJvKrakmQeMLbeTcBxI8sfC2wev9KqWgGsAJg7b+EDQp4kSdK+YLI/MfKxJB9Pcm6Sc4EPAx/Z2QJVdWFVHVtVC+huWPiHqnohsJofPIt1KXB5P70aWJJkbpLj6X7CZN1ufRtJkqR9xE6PxCX5Mbpr2F6d5D8BT6U77flZ4N0PcpsXAauSnAfcRnedHVW1Ickq4Dq6O2Av8M5USZKkie3qdOqfAq8DqKoPAB8ASLKon/fsyWykqj4NfLqfvoPusV0T9VsOLJ/MOiVJkvZluzqduqCqvji+sarW0/1YryRJkmbArkLcgTuZ99CpLESSJEmTt6sQ97kkvzy+sb+e7cphSpIkSdKu7OqauFcAH0zyAn4Q2hYBBwC/OGBdkiRJ2omdhriq2go8OcnPAif1zR+uqn8YvDJJkiTt0KR+7LeqPgV8auBaJEmSNEmT/bFfSZIkzSKGOEmSpAYZ4iRJkhpkiJMkSWqQIU6SJKlBhjhJkqQGGeIkSZIaZIiTJElqkCFOkiSpQYY4SZKkBhniJEmSGmSIkyRJapAhTpIkqUGGOEmSpAYZ4iRJkhpkiJMkSWqQIU6SJKlBhjhJkqQGDRbikhyYZF2Sq5NsSPKmvv2IJGuS3NS/Hz6yzIVJNia5McmZQ9UmSZLUuiGPxN0H/FxVPQ44GTgryZOAZcDaqloIrO0/k+QEYAlwInAWcHGSOQPWJ0mS1KzBQlx17uk/7t+/ClgMrOzbVwJn99OLgcuq6r6quhnYCJw6VH2SJEktG/SauCRzklwFbAPWVNUVwDFVtQWgfz+67z4fuH1k8U192/h1np9kfZL12++9c8jyJUmSZq1BQ1xVba+qk4FjgVOTnLST7ploFROsc0VVLaqqRXMOOmyKKpUkSWrLtNydWlXfAj5Nd63b1iTzAPr3bX23TcBxI4sdC2yejvokSZJaM+TdqUcleXg//VDgDOAGYDWwtO+2FLi8n14NLEkyN8nxwEJg3VD1SZIktWy/Adc9D1jZ32H6EGBVVf19ks8Cq5KcB9wGnANQVRuSrAKuA+4HLqiq7QPWJ0mS1KzBQlxVfRF4/ATtdwCn72CZ5cDyoWqSJEnaW/jEBkmSpAYZ4iRJkhpkiJMkSWqQIU6SJKlBhjhJkqQGGeIkSZIaZIiTJElqkCFOkiSpQYY4SZKkBhniJEmSGmSIkyRJapAhTpIkqUGGOEmSpAYZ4iRJkhpkiJMkSWqQIU6SJKlBhjhJkqQGGeIkSZIaZIiTJElqkCFOkiSpQYY4SZKkBhniJEmSGmSIkyRJatBgIS7JcUk+leT6JBuS/GbffkSSNUlu6t8PH1nmwiQbk9yY5MyhapMkSWrdkEfi7gd+u6oeCzwJuCDJCcAyYG1VLQTW9p/p5y0BTgTOAi5OMmfA+iRJkpo1WIirqi1V9fl++m7gemA+sBhY2XdbCZzdTy8GLquq+6rqZmAjcOpQ9UmSJLVsWq6JS7IAeDxwBXBMVW2BLugBR/fd5gO3jyy2qW+TJEnSOIOHuCQHA+8HXlFVd+2s6wRtNcH6zk+yPsn67ffeOVVlSpIkNWXQEJdkf7oA9+6q+kDfvDXJvH7+PGBb374JOG5k8WOBzePXWVUrqmpRVS2ac9BhwxUvSZI0iw15d2qAtwPXV9VbRmatBpb200uBy0falySZm+R4YCGwbqj6JEmSWrbfgOt+CvAi4JokV/VtrwMuAlYlOQ+4DTgHoKo2JFkFXEd3Z+sFVbV9wPokSZKaNViIq6p/ZuLr3ABO38Eyy4HlQ9UkSZK0t/CJDZIkSQ0yxEmSJDXIECdJktQgQ5wkSVKDDHGSJEkNMsRJkiQ1yBAnSZLUIEOcJElSgwxxkiRJDTLESZIkNcgQJ0mS1CBDnCRJUoMMcZIkSQ0yxEmSJDXIECdJktQgQ5wkSVKDDHGSJEkNMsRJkiQ1yBAnSZLUIEOcJElSgwxxkiRJDTLESZIkNcgQJ0mS1CBDnCRJUoMGC3FJ3pFkW5JrR9qOSLImyU39++Ej8y5MsjHJjUnOHKouSZKkvcGQR+IuAc4a17YMWFtVC4G1/WeSnAAsAU7sl7k4yZwBa5MkSWraYCGuqv4R+Oa45sXAyn56JXD2SPtlVXVfVd0MbAROHao2SZKk1k33NXHHVNUWgP796L59PnD7SL9NfdsDJDk/yfok67ffe+egxUqSJM1Ws+XGhkzQVhN1rKoVVbWoqhbNOeiwgcuSJEmanaY7xG1NMg+gf9/Wt28CjhvpdyyweZprkyRJasZ0h7jVwNJ+eilw+Uj7kiRzkxwPLATWTXNtkiRJzdhvqBUneQ/wNODIJJuA3wMuAlYlOQ+4DTgHoKo2JFkFXAfcD1xQVduHqk2SJKl1g4W4qvqlHcw6fQf9lwPLh6pHkiRpbzJbbmyQJEnSbhjsSFxrFiz78JSt65aLnjll65IkSZqIR+IkSZIaZIiTJElqkCFOkiSpQYY4SZKkBhniJEmSGmSIkyRJapAhTpIkqUGGOEmSpAYZ4iRJkhpkiJMkSWqQIU6SJKlBhjhJkqQGGeIkSZIatN9MF7A3WrDsw1OynlsueuaUrEeSJO19PBInSZLUIEOcJElSgwxxkiRJDTLESZIkNcgQJ0mS1CDvTp3FpuouV5i6O11nY02SJO2LPBInSZLUoFkX4pKcleTGJBuTLJvpeiRJkmajWXU6Nckc4H8BPw9sAj6XZHVVXTezlbVvKk+DSpKkmTerQhxwKrCxqr4CkOQyYDFgiNNO+ZQMSdK+ZraFuPnA7SOfNwH/cYZq0cBm49HB2VjTVJrKkLo3B+fZuh/MxhuUZqPZuE/NRrN1P/DvN3mpqpmu4fuSnAOcWVUv7T+/CDi1ql420ud84Pz+40nAtdNe6L7tSOAbM13EPsYxn36O+fRzzKefYz79HlNVh0zVymbbkbhNwHEjn48FNo92qKoVwAqAJOuratH0lSfHfPo55tPPMZ9+jvn0c8ynX5L1U7m+2XZ36ueAhUmOT3IAsARYPcM1SZIkzTqz6khcVd2f5DeAjwNzgHdU1YYZLkuSJGnWmVUhDqCqPgJ8ZJLdVwxZiybkmE8/x3z6OebTzzGffo759JvSMZ9VNzZIkiRpcmbbNXGSJEmahGZDnI/nGk6SW5Jck+SqsTtpkhyRZE2Sm/r3w0f6X9j/HW5McubMVd6OJO9Isi3JtSNtuz3GSZ7Y/602JvnzJJnu79KKHYz5G5N8td/Xr0ryjJF5jvkeSHJckk8luT7JhiS/2be7nw9kJ2Pufj6QJAcmWZfk6n7M39S3T89+XlXNvehuevgy8GjgAOBq4ISZrmtveQG3AEeOa/tDYFk/vQz4g376hH785wLH93+XOTP9HWb7C/hp4AnAtXsyxsA64DQgwEeBp8/0d5utrx2M+RuBV03Q1zHf8/GeBzyhnz4E+FI/ru7n0z/m7ufDjXmAg/vp/YErgCdN137e6pG47z+eq6q+C4w9nkvDWQys7KdXAmePtF9WVfdV1c3ARrq/j3aiqv4R+Oa45t0a4yTzgEOr6rPV/QvwzpFlNM4OxnxHHPM9VFVbqurz/fTdwPV0T+VxPx/ITsZ8RxzzPVSde/qP+/evYpr281ZD3ESP59rZjqrdU8AnklyZ7gkZAMdU1Rbo/qEAju7b/VtMnd0d4/n99Ph27Z7fSPLF/nTr2CkPx3wKJVkAPJ7uKIX7+TQYN+bgfj6YJHOSXAVsA9ZU1bTt562GuInOE3ub7dR5SlU9AXg6cEGSn95JX/8Ww9vRGDv2e+6twI8CJwNbgD/u2x3zKZLkYOD9wCuq6q6ddZ2gzTF/ECYYc/fzAVXV9qo6me4pU6cmOWkn3ad0zFsNcbt8PJcevKra3L9vAz5Id3p0a3+4l/59W9/dv8XU2d0x3tRPj2/XJFXV1v4f4O8Bf8MPLgVwzKdAkv3pwsS7q+oDfbP7+YAmGnP38+lRVd8CPg2cxTTt562GOB/PNZAkD0tyyNg08AvAtXTju7TvthS4vJ9eDSxJMjfJ8cBCuosztft2a4z7Q/R3J3lSfxfTi0eW0SSM/SPb+0W6fR0c8z3Wj8/bgeur6i0js9zPB7KjMXc/H06So5I8vJ9+KHAGcAPTtZ/P9J0dD/YFPIPuzpsvA6+f6Xr2lhfdHb9X968NY2ML/AiwFripfz9iZJnX93+HG/EOpsmO83voTmv8G93/gZ33YMYYWET3D/KXgb+k/wFvX5Me80uBa4Av9v+4znPMp2y8n0p3OuiLwFX96xnu5zMy5u7nw435fwC+0I/ttcDv9u3Tsp/7xAZJkqQGtXo6VZIkaZ9miJMkSWqQIU6SJKlBhjhJkqQGGeIkSZIaZIiT1JQkP5Lkqv71tSRfHfl8wIDbfVaSLyS5Osl1SX6lb//VJC8earuStCP+xIikZiV5I3BPVf3RwNvZH7gVOLWqNiWZCyyoqhuH3K4k7cx+M12AJO2pJE8E3gIcDHwDOLeqtiT5ZeB84ABgI/Ciqro3ySXAd4CfAB4FvITuV9VPA66oqnPHbeIQun8v7wCoqvvofqjz+0ES+FvgIyPL/CTdj2ffC/wV8Mi+/RVV9S9T9NUl7cM8nSqpdQH+AnhuVT0ReAewvJ/3gao6paoeB1xP95SGMYcDPwe8EvgQ8CfAicBPJjl5dANV9U26X7q/Ncl7krwgyUPG9dlcVSdX9yDsvwHeX1W3An8G/ElVnQL8Z+BtU/fVJe3LPBInqXVzgZOANd0jB5lD93gtgJOSvBl4ON1Ruo+PLPehqqok1wBbq+oagCQbgAV0jyz6vqp6aZKfpHs24quAnwfOHV9MkqcALwV+qm86Azihrw3g0CSHVNXdD/obSxKGOEntC7Chqk6bYN4lwNlVdXWSc4Gnjcy7r3//3sj02OcJ/23sg941SS4FbmZciOsfNP524DlVdU/f/BDgtKr6zuS/kiTtmqdTJbXuPuCoJKdBdxNCkhP7eYcAW/obE17wYDeQ5OAkTxtpOpnuRofRPvsDq4DXVtWXRmZ9AviNkX4nP9g6JGmUIU5S674HPBf4gyRX050GfXI/73eAK4A1wA17sI0Ar0lyY5KrgDfxwFOpTwZOAd408pMnjwBeDixK8sUk1wG/ugd1SNL3+RMjkiRJDfJInCRJUoMMcZIkSQ0yxEmSJDXIECdJktQgQ5wkSVKDDHGSJEkNMsRJkiQ1yBAnSZLUoH8HSrIGkDYe6Z4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# print the counts of the years\n",
    "print(df['Team_Size'].describe())\n",
    "\n",
    "# start with a standard-scaled plot\n",
    "binsize = 100\n",
    "bins = np.arange(0, df['Team_Size'].max()+binsize, binsize)\n",
    "\n",
    "plt.figure(figsize=[10, 5])\n",
    "plt.hist(data = df, x = 'Team_Size', bins=bins)\n",
    "plt.xlim(0, 3000)\n",
    "plt.xlabel('Team Size')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of Team_Size')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d902f366",
   "metadata": {},
   "source": [
    "The Team size distribution is highly right-skewed with a really long tail that it was very difficult to view the plot. I had to resolve into binning of size 100 and also set the plot's x_axis limit to 3000.  Most teamsize is between 2-4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce80293c",
   "metadata": {},
   "source": [
    "> ##### Analyse and visualize the distribution of the Number_Of_Founder of the companies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "id": "d3d59997",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2    547\n",
      "1    198\n",
      "3    191\n",
      "4     44\n",
      "0     13\n",
      "5      6\n",
      "6      1\n",
      "Name: Number_Of_Founder, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# print the counts of the years\n",
    "print(df['Number_Of_Founder'].value_counts())\n",
    "\n",
    "\n",
    "# set the plot size\n",
    "plt.figure(figsize = (17,6))\n",
    "\n",
    "#value_counts already in descending order of value\n",
    "ax = sns.countplot(x=df['Number_Of_Founder']);\n",
    "\n",
    "ax.set_xticklabels(ax.get_xticklabels(), fontsize = 14);\n",
    "#label x axis\n",
    "plt.xlabel(\"Number of founders\",fontsize = 18);\n",
    "plt.ylabel(\"Count\",fontsize = 16);\n",
    "# title the graph\n",
    "plt.title(\"Distribution of number of founders\",fontsize = 16);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1faf471a",
   "metadata": {},
   "source": [
    "Most number of founders is 2 followed by 1 and 3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1268d992",
   "metadata": {},
   "source": [
    "> ##### Analyse and visualize the relationship between Country_Of_Origin, and Year founded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "id": "1fbfa504",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set the plot size\n",
    "plt.figure(figsize = (17,6))\n",
    "ax = sns.boxplot(x=\"Country_Of_Origin\", y = \"Founded\", data=df)\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90, fontsize = 14);\n",
    "#label x axis\n",
    "plt.xlabel(\"Country_Of_Origin\",fontsize = 18)\n",
    "plt.ylabel(\"Year Founded\",fontsize = 16)\n",
    "plt.grid()\n",
    "# title the graph\n",
    "plt.title(\" Relationship between Country_Of_Origin, and Year founded.\", fontsize = 16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c8909f7",
   "metadata": {},
   "source": [
    "> ##### Analyse and visualize the relationship between Country_Of_Origin, and team size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "id": "e8841632",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set the plot size\n",
    "plt.figure(figsize = (17,6))\n",
    "ax = sns.boxplot(x=\"Country_Of_Origin\", y = \"Team_Size\", data=df)\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90, fontsize = 14);\n",
    "#label x axis\n",
    "plt.xlabel(\"Country_Of_Origin\",fontsize = 18)\n",
    "plt.ylabel(\"Team Size\",fontsize = 16)\n",
    "plt.grid()\n",
    "# title the graph\n",
    "plt.title(\" Relationship between Country_Of_Origin, and Team Size.\", fontsize = 16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d816e041",
   "metadata": {},
   "source": [
    "> ##### Analyse and visualize the relationship between Country_Of_Origin, and Number_Of_Founder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "id": "86e97890",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1224x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set the plot size\n",
    "plt.figure(figsize = (17,6))\n",
    "ax = sns.boxplot(x=\"Country_Of_Origin\", y = \"Number_Of_Founder\", data=df)\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation = 90, fontsize = 14);\n",
    "#label x axis\n",
    "plt.xlabel(\"Country_Of_Origin\",fontsize = 18)\n",
    "plt.ylabel(\"Number_Of_Founder\",fontsize = 16)\n",
    "plt.grid()\n",
    "# title the graph\n",
    "plt.title(\" Relationship between Country_Of_Origin, and Number_Of_Founder.\", fontsize = 16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "871adb1d",
   "metadata": {},
   "source": [
    "> ##### Analyse the relationship between Number_Of_Founder, and team size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "891f1512",
   "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>Founded</th>\n",
       "      <th>Team_Size</th>\n",
       "      <th>Number_Of_Founder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Founded</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.337482</td>\n",
       "      <td>0.109966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Team_Size</th>\n",
       "      <td>-0.337482</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.039112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Number_Of_Founder</th>\n",
       "      <td>0.109966</td>\n",
       "      <td>0.039112</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Founded  Team_Size  Number_Of_Founder\n",
       "Founded            1.000000  -0.337482           0.109966\n",
       "Team_Size         -0.337482   1.000000           0.039112\n",
       "Number_Of_Founder  0.109966   0.039112           1.000000"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2d59e1d",
   "metadata": {},
   "source": [
    "<a id='conclusions'></a>\n",
    "## Analysis Summary/Conclusions\n",
    "\n",
    "Using both Univariate and Bivariate analysis:\n",
    "\n",
    "* The most represented country of all is the USA which counts 654 of the total 1000 companies. It is followed by India, Canada, UK, Nigeria and Indonesia\n",
    "\n",
    "* It could be seen that the more recent a company is founded, the likely it is to be funded/listed by ycombinator\n",
    "* The Team size distribution is highly right-skewed with a really long tail that it was very difficult to view the plot. I had to resolve into binning of size 100 and also set the plot's x_axis limit to 3000. Most teamsize is between 2-4\n",
    "\n",
    "* Most number of founders is 2 followed by 1 and 3\n",
    "* No interesting relationship between country of origin and team size, number of founder and year founded. Also\n",
    "* There is a weak, negative linear correlation between Number_Of_Founder and team size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4a8b300",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}