investment_assingment.ipynb

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    "colab": {
      "name": "investment_assingment.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4W5k6HHpsK2r"
      },
      "source": [
        "## Data Cleaning"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c0DIr9yIRqEj"
      },
      "source": [
        "import csv, matplotlib\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
      "execution_count": 130,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dD7BMrmITNBh"
      },
      "source": [
        "companies = pd.read_csv(\"https://docs.google.com/uc?export=download&id=1fla_FjzVKVITNCgOxyx5XhzCXu9qnkSS\",encoding = 'unicode_escape')\n",
        "rounds2 = pd.read_csv(\"https://docs.google.com/uc?export=download&id=1D0y096SKAs6JU6e3GNvEAOxHnYgLuz1L\",encoding = 'unicode_escape')"
      ],
      "execution_count": 131,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XYZru4dx5x4i"
      },
      "source": [
        "# import chardet ## to detect character encoding with confidence\n",
        "# with open(\"/home/mohd/Downloads/ms/companies.csv\",'rb') as rawdata:\n",
        "#     result=chardet.detect(rawdata.read(66366))\n",
        "#     print(result)"
      ],
      "execution_count": 132,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bwZ_KRc6UemB"
      },
      "source": [
        "There are encoding issues in the files. Loading with unicode_escape encoding resolves them. Encoding with engine=python gives similar results."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "Q5jWjdXfVBho",
        "outputId": "f644a09b-7b3d-49d4-93c0-a4a486be1a2b"
      },
      "source": [
        "companies.head()\n",
        "\n"
      ],
      "execution_count": 133,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\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>permalink</th>\n",
              "      <th>name</th>\n",
              "      <th>homepage_url</th>\n",
              "      <th>category_list</th>\n",
              "      <th>status</th>\n",
              "      <th>country_code</th>\n",
              "      <th>state_code</th>\n",
              "      <th>region</th>\n",
              "      <th>city</th>\n",
              "      <th>founded_at</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>/Organization/-Fame</td>\n",
              "      <td>#fame</td>\n",
              "      <td>http://livfame.com</td>\n",
              "      <td>Media</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>16</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>/Organization/-Qounter</td>\n",
              "      <td>:Qounter</td>\n",
              "      <td>http://www.qounter.com</td>\n",
              "      <td>Application Platforms|Real Time|Social Network...</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>DE</td>\n",
              "      <td>DE - Other</td>\n",
              "      <td>Delaware City</td>\n",
              "      <td>04-09-2014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>/Organization/-The-One-Of-Them-Inc-</td>\n",
              "      <td>(THE) ONE of THEM,Inc.</td>\n",
              "      <td>http://oneofthem.jp</td>\n",
              "      <td>Apps|Games|Mobile</td>\n",
              "      <td>operating</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>3</th>\n",
              "      <td>/Organization/0-6-Com</td>\n",
              "      <td>0-6.com</td>\n",
              "      <td>http://www.0-6.com</td>\n",
              "      <td>Curated Web</td>\n",
              "      <td>operating</td>\n",
              "      <td>CHN</td>\n",
              "      <td>22</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>01-01-2007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>/Organization/004-Technologies</td>\n",
              "      <td>004 Technologies</td>\n",
              "      <td>http://004gmbh.de/en/004-interact</td>\n",
              "      <td>Software</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>IL</td>\n",
              "      <td>Springfield, Illinois</td>\n",
              "      <td>Champaign</td>\n",
              "      <td>01-01-2010</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             permalink  ...  founded_at\n",
              "0                  /Organization/-Fame  ...         NaN\n",
              "1               /Organization/-Qounter  ...  04-09-2014\n",
              "2  /Organization/-The-One-Of-Them-Inc-  ...         NaN\n",
              "3                /Organization/0-6-Com  ...  01-01-2007\n",
              "4       /Organization/004-Technologies  ...  01-01-2010\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 133
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "QjlCayicWfE_",
        "outputId": "d5792b1b-53fb-474e-8ee8-b9b446b4bf53"
      },
      "source": [
        "rounds2.head()"
      ],
      "execution_count": 134,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    }\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_permalink</th>\n",
              "      <th>funding_round_permalink</th>\n",
              "      <th>funding_round_type</th>\n",
              "      <th>funding_round_code</th>\n",
              "      <th>funded_at</th>\n",
              "      <th>raised_amount_usd</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>/funding-round/9a01d05418af9f794eebff7ace91f638</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>05-01-2015</td>\n",
              "      <td>10,000,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>/ORGANIZATION/-QOUNTER</td>\n",
              "      <td>/funding-round/22dacff496eb7acb2b901dec1dfe5633</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>14-10-2014</td>\n",
              "      <td>nan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>/funding-round/b44fbb94153f6cdef13083530bb48030</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-03-2014</td>\n",
              "      <td>700,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>/ORGANIZATION/-THE-ONE-OF-THEM-INC-</td>\n",
              "      <td>/funding-round/650b8f704416801069bb178a1418776b</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>30-01-2014</td>\n",
              "      <td>3,406,878.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>/organization/0-6-com</td>\n",
              "      <td>/funding-round/5727accaeaa57461bd22a9bdd945382d</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>19-03-2008</td>\n",
              "      <td>2,000,000.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                     company_permalink  ... raised_amount_usd\n",
              "0                  /organization/-fame  ...     10,000,000.00\n",
              "1               /ORGANIZATION/-QOUNTER  ...               nan\n",
              "2               /organization/-qounter  ...        700,000.00\n",
              "3  /ORGANIZATION/-THE-ONE-OF-THEM-INC-  ...      3,406,878.00\n",
              "4                /organization/0-6-com  ...      2,000,000.00\n",
              "\n",
              "[5 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 134
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bwKEzDwzXTNK"
      },
      "source": [
        "company_permalink is the reference key for companies.permalink which visibly needs to be lower cased."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dwO3Ckq4bpua"
      },
      "source": [
        "companies.permalink = companies.permalink.str.lower()\n",
        "rounds2.company_permalink = rounds2.company_permalink.str.lower()"
      ],
      "execution_count": 135,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UieXkeGvZCLs",
        "outputId": "9b8edb15-4bf7-4478-890e-eda73de53a63"
      },
      "source": [
        "companies.permalink.dropna().unique().size"
      ],
      "execution_count": 136,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "66368"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 136
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2Po15BkCaWkq",
        "outputId": "a869a82c-44c4-4e7a-c24d-22e7630f2039"
      },
      "source": [
        "rounds2.company_permalink.dropna().unique().size"
      ],
      "execution_count": 137,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "66370"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 137
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0jKI5V3ral-D"
      },
      "source": [
        "This hints to some companies present referenced in rounds file but not present in main companies file. Lets check those..."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 385
        },
        "id": "iHYzLJA1b4Rz",
        "outputId": "ab6ba72a-2d0e-442c-cf87-f7f125c72a7d"
      },
      "source": [
        "rounds2_unref = rounds2[~rounds2.company_permalink.isin(companies.permalink)]\n",
        "rounds2_unref"
      ],
      "execution_count": 138,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>company_permalink</th>\n",
              "      <th>funding_round_permalink</th>\n",
              "      <th>funding_round_type</th>\n",
              "      <th>funding_round_code</th>\n",
              "      <th>funded_at</th>\n",
              "      <th>raised_amount_usd</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>29597</th>\n",
              "      <td>/organization/e-cãbica</td>\n",
              "      <td>/funding-round/8491f74869e4fe8ba9c378394f8fbdea</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-02-2015</td>\n",
              "      <td>nan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31863</th>\n",
              "      <td>/organization/energystone-games-çµç³æ¸¸æ</td>\n",
              "      <td>/funding-round/b89553f3d2279c5683ae93f45a21cfe0</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>09-08-2014</td>\n",
              "      <td>nan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45176</th>\n",
              "      <td>/organization/huizuche-com-æ ç§ÿè½¦</td>\n",
              "      <td>/funding-round/8f8a32dbeeb0f831a78702f83af78a36</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>18-09-2014</td>\n",
              "      <td>nan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58473</th>\n",
              "      <td>/organization/magnet-tech-ç£ç³ç§æ</td>\n",
              "      <td>/funding-round/8fc91fbb32bc95e97f151dd0cb4166bf</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>16-08-2014</td>\n",
              "      <td>1,625,585.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101036</th>\n",
              "      <td>/organization/tipcat-interactive-æ²èÿä¿¡æ¯ç...</td>\n",
              "      <td>/funding-round/41005928a1439cb2d706a43cb661f60f</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>06-09-2010</td>\n",
              "      <td>nan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109969</th>\n",
              "      <td>/organization/weiche-tech-åè½¦ç§æ</td>\n",
              "      <td>/funding-round/f74e457f838b81fa0b29649740f186d8</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>06-09-2015</td>\n",
              "      <td>nan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>113839</th>\n",
              "      <td>/organization/zengame-ç¦æ¸¸ç§æ</td>\n",
              "      <td>/funding-round/6ba28fb4f3eadf5a9c6c81bc5dde6cdf</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>17-07-2010</td>\n",
              "      <td>nan</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                        company_permalink  ... raised_amount_usd\n",
              "29597                             /organization/e-cãbica  ...               nan\n",
              "31863        /organization/energystone-games-çµç³æ¸¸æ  ...               nan\n",
              "45176                /organization/huizuche-com-æ ç§ÿè½¦  ...               nan\n",
              "58473              /organization/magnet-tech-ç£ç³ç§æ  ...      1,625,585.00\n",
              "101036  /organization/tipcat-interactive-æ²èÿä¿¡æ¯ç...  ...               nan\n",
              "109969             /organization/weiche-tech-åè½¦ç§æ  ...               nan\n",
              "113839                 /organization/zengame-ç¦\n",
              "æ¸¸ç§æ  ...               nan\n",
              "\n",
              "[7 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 138
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "uBXSI1f7ce0L",
        "outputId": "ebfcc6de-f84b-4e43-aff4-c14d1d1a90a3"
      },
      "source": [
        "companies_unref = companies[~companies.permalink.isin(rounds2.company_permalink)]\n",
        "companies_unref"
      ],
      "execution_count": 139,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\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>permalink</th>\n",
              "      <th>name</th>\n",
              "      <th>homepage_url</th>\n",
              "      <th>category_list</th>\n",
              "      <th>status</th>\n",
              "      <th>country_code</th>\n",
              "      <th>state_code</th>\n",
              "      <th>region</th>\n",
              "      <th>city</th>\n",
              "      <th>founded_at</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>16827</th>\n",
              "      <td>/organization/e-cãbica</td>\n",
              "      <td>E CÃBICA</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</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>18197</th>\n",
              "      <td>/organization/energystone-games-çµçÿ³æ¸¸æ</td>\n",
              "      <td>EnergyStone Games çµç³æ¸¸æ</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Mobile Games|Online Gaming</td>\n",
              "      <td>closed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>06-01-2013</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26139</th>\n",
              "      <td>/organization/huizuche-com-æ ç§è½¦</td>\n",
              "      <td>Huizuche.com æ ç§è½¦</td>\n",
              "      <td>http://huizuche.com</td>\n",
              "      <td>NaN</td>\n",
              "      <td>closed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24-04-2014</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58344</th>\n",
              "      <td>/organization/tipcat-interactive-æ²èä¿¡æ¯ç...</td>\n",
              "      <td>TipCat Interactive æ²èä¿¡æ¯ç§æ</td>\n",
              "      <td>http://www.tipcat.com</td>\n",
              "      <td>Mobile Games|Online Gaming</td>\n",
              "      <td>closed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>18-08-2009</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65778</th>\n",
              "      <td>/organization/zengame-ç¦æ¸¸ç§æ</td>\n",
              "      <td>ZenGame ç¦æ¸¸ç§æ</td>\n",
              "      <td>http://www.zen-game.com</td>\n",
              "      <td>Internet|Mobile Games|Online Gaming</td>\n",
              "      <td>closed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>17-07-2010</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               permalink  ...  founded_at\n",
              "16827                            /organization/e-cãbica  ...         NaN\n",
              "18197       /organization/energystone-games-çµçÿ³æ¸¸æ  ...  06-01-2013\n",
              "26139               /organization/huizuche-com-æ ç§è½¦  ...  24-04-2014\n",
              "58344  /organization/tipcat-interactive-æ²èä¿¡æ¯ç...  ...  18-08-2009\n",
              "65778                 /organization/zengame-ç¦\n",
              "æ¸¸ç§æ  ...  17-07-2010\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 139
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e2J038uVdFAF"
      },
      "source": [
        "Being less then 1%, it makes sense to drop these rows as they seem to be have some encoding issues. \n",
        "Lets proceed for now, without dropping them, since it wont make any significant difference on our aggregate metrics."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "87O0D4LvopUv"
      },
      "source": [
        "#rounds2 = rounds2[rounds2.company_permalink.isin(companies.permalink)]"
      ],
      "execution_count": 140,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gWJzHZtVX0r1",
        "outputId": "cf03669a-2e90-416a-c4d2-7e4558678304"
      },
      "source": [
        "companies.info()\n",
        "rounds2.info()"
      ],
      "execution_count": 141,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 66368 entries, 0 to 66367\n",
            "Data columns (total 10 columns):\n",
            " #   Column         Non-Null Count  Dtype \n",
            "---  ------         --------------  ----- \n",
            " 0   permalink      66368 non-null  object\n",
            " 1   name           66367 non-null  object\n",
            " 2   homepage_url   61310 non-null  object\n",
            " 3   category_list  63220 non-null  object\n",
            " 4   status         66368 non-null  object\n",
            " 5   country_code   59410 non-null  object\n",
            " 6   state_code     57821 non-null  object\n",
            " 7   region         58338 non-null  object\n",
            " 8   city           58340 non-null  object\n",
            " 9   founded_at     51147 non-null  object\n",
            "dtypes: object(10)\n",
            "memory usage: 5.1+ MB\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 114949 entries, 0 to 114948\n",
            "Data columns (total 6 columns):\n",
            " #   Column                   Non-Null Count   Dtype  \n",
            "---  ------                   --------------   -----  \n",
            " 0   company_permalink        114949 non-null  object \n",
            " 1   funding_round_permalink  114949 non-null  object \n",
            " 2   funding_round_type       114949 non-null  object \n",
            " 3   funding_round_code       31140 non-null   object \n",
            " 4   funded_at                114949 non-null  object \n",
            " 5   raised_amount_usd        94959 non-null   float64\n",
            "dtypes: float64(1), object(5)\n",
            "memory usage: 5.3+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5bLyW0WOjP-h"
      },
      "source": [
        "companies.founded_at and rounds.funded_at are of object type. They should be converted to datetime type, but since they are not relevant to the problem statement, lets leave this type casting."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QAm1AkGuYwx0",
        "outputId": "3810edf5-188a-439f-c292-2be415e68e52"
      },
      "source": [
        "round(100*companies.isna().sum()/len(companies.index),2)"
      ],
      "execution_count": 142,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "permalink        0.00\n",
              "name             0.00\n",
              "homepage_url     7.62\n",
              "category_list    4.74\n",
              "status           0.00\n",
              "country_code    10.48\n",
              "state_code      12.88\n",
              "region          12.10\n",
              "city            12.10\n",
              "founded_at      22.93\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V_RBkGjFY6t_",
        "outputId": "cdcba6ee-6a37-4439-ed41-6febce18dc72"
      },
      "source": [
        "rounds2.isna().sum()"
      ],
      "execution_count": 143,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "company_permalink              0\n",
              "funding_round_permalink        0\n",
              "funding_round_type             0\n",
              "funding_round_code         83809\n",
              "funded_at                      0\n",
              "raised_amount_usd          19990\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TpUrweA8iwDK",
        "outputId": "10213e76-61b8-471a-da68-e500e9c04c92"
      },
      "source": [
        "round(100*rounds2.isna().sum()/len(rounds2.index),2)"
      ],
      "execution_count": 144,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "company_permalink          0.00\n",
              "funding_round_permalink    0.00\n",
              "funding_round_type         0.00\n",
              "funding_round_code        72.91\n",
              "funded_at                  0.00\n",
              "raised_amount_usd         17.39\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 144
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qTbowzWWYSIX"
      },
      "source": [
        "A lot of NAs especially in potentially important columns i.e companies.category_list, companies.country_code, rounds.raised_amount_usd . \n",
        "Since the common column, company_permalink has no NAs lets proceed for joining data. \n",
        "Also, imputing raised_amount_usd and category_list might add a bias in our analysis, hence leaving impution for now."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nqx3hy3sn0Yk"
      },
      "source": [
        "pd.options.display.float_format = \"{:,.2f}\".format  ## readable numerical"
      ],
      "execution_count": 145,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 762
        },
        "id": "NWGpW2W3aXRj",
        "outputId": "42b60f0b-8d18-45f8-abc3-e373f14272e8"
      },
      "source": [
        "master_frame = pd.merge(companies,rounds2, how='right', left_on='permalink', right_on='company_permalink')\n",
        "master_frame"
      ],
      "execution_count": 146,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>permalink</th>\n",
              "      <th>name</th>\n",
              "      <th>homepage_url</th>\n",
              "      <th>category_list</th>\n",
              "      <th>status</th>\n",
              "      <th>country_code</th>\n",
              "      <th>state_code</th>\n",
              "      <th>region</th>\n",
              "      <th>city</th>\n",
              "      <th>founded_at</th>\n",
              "      <th>company_permalink</th>\n",
              "      <th>funding_round_permalink</th>\n",
              "      <th>funding_round_type</th>\n",
              "      <th>funding_round_code</th>\n",
              "      <th>funded_at</th>\n",
              "      <th>raised_amount_usd</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>#fame</td>\n",
              "      <td>http://livfame.com</td>\n",
              "      <td>Media</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>16</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>/funding-round/9a01d05418af9f794eebff7ace91f638</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>05-01-2015</td>\n",
              "      <td>10,000,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>:Qounter</td>\n",
              "      <td>http://www.qounter.com</td>\n",
              "      <td>Application Platforms|Real Time|Social Network...</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>DE</td>\n",
              "      <td>DE - Other</td>\n",
              "      <td>Delaware City</td>\n",
              "      <td>04-09-2014</td>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>/funding-round/22dacff496eb7acb2b901dec1dfe5633</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>14-10-2014</td>\n",
              "      <td>nan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>:Qounter</td>\n",
              "      <td>http://www.qounter.com</td>\n",
              "      <td>Application Platforms|Real Time|Social Network...</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>DE</td>\n",
              "      <td>DE - Other</td>\n",
              "      <td>Delaware City</td>\n",
              "      <td>04-09-2014</td>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>/funding-round/b44fbb94153f6cdef13083530bb48030</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-03-2014</td>\n",
              "      <td>700,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>/organization/-the-one-of-them-inc-</td>\n",
              "      <td>(THE) ONE of THEM,Inc.</td>\n",
              "      <td>http://oneofthem.jp</td>\n",
              "      <td>Apps|Games|Mobile</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/-the-one-of-them-inc-</td>\n",
              "      <td>/funding-round/650b8f704416801069bb178a1418776b</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>30-01-2014</td>\n",
              "      <td>3,406,878.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>/organization/0-6-com</td>\n",
              "      <td>0-6.com</td>\n",
              "      <td>http://www.0-6.com</td>\n",
              "      <td>Curated Web</td>\n",
              "      <td>operating</td>\n",
              "      <td>CHN</td>\n",
              "      <td>22</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>01-01-2007</td>\n",
              "      <td>/organization/0-6-com</td>\n",
              "      <td>/funding-round/5727accaeaa57461bd22a9bdd945382d</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>19-03-2008</td>\n",
              "      <td>2,000,000.00</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114944</th>\n",
              "      <td>/organization/zzzzapp-com</td>\n",
              "      <td>Zzzzapp Wireless ltd.</td>\n",
              "      <td>http://www.zzzzapp.com</td>\n",
              "      <td>Advertising|Mobile|Web Development|Wireless</td>\n",
              "      <td>operating</td>\n",
              "      <td>HRV</td>\n",
              "      <td>15</td>\n",
              "      <td>Split</td>\n",
              "      <td>Split</td>\n",
              "      <td>13-05-2012</td>\n",
              "      <td>/organization/zzzzapp-com</td>\n",
              "      <td>/funding-round/8f6d25b8ee4199e586484d817bceda05</td>\n",
              "      <td>convertible_note</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-03-2014</td>\n",
              "      <td>41,313.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114945</th>\n",
              "      <td>/organization/zzzzapp-com</td>\n",
              "      <td>Zzzzapp Wireless ltd.</td>\n",
              "      <td>http://www.zzzzapp.com</td>\n",
              "      <td>Advertising|Mobile|Web Development|Wireless</td>\n",
              "      <td>operating</td>\n",
              "      <td>HRV</td>\n",
              "      <td>15</td>\n",
              "      <td>Split</td>\n",
              "      <td>Split</td>\n",
              "      <td>13-05-2012</td>\n",
              "      <td>/organization/zzzzapp-com</td>\n",
              "      <td>/funding-round/ff1aa06ed5da186c84f101549035d4ae</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-05-2013</td>\n",
              "      <td>32,842.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114946</th>\n",
              "      <td>/organization/ãeron</td>\n",
              "      <td>ÃERON</td>\n",
              "      <td>http://www.aeron.hu/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-01-2011</td>\n",
              "      <td>/organization/ãeron</td>\n",
              "      <td>/funding-round/59f4dce44723b794f21ded3daed6e4fe</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>01-08-2014</td>\n",
              "      <td>nan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114947</th>\n",
              "      <td>/organization/ãasys-2</td>\n",
              "      <td>Ãasys</td>\n",
              "      <td>http://www.oasys.io/</td>\n",
              "      <td>Consumer Electronics|Internet of Things|Teleco...</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>San Francisco</td>\n",
              "      <td>01-01-2014</td>\n",
              "      <td>/organization/ãasys-2</td>\n",
              "      <td>/funding-round/35f09d0794651719b02bbfd859ba9ff5</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-01-2015</td>\n",
              "      <td>18,192.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114948</th>\n",
              "      <td>/organization/ä°novatiff-reklam-ve-tanä±tä±m-h...</td>\n",
              "      <td>Ä°novatiff Reklam ve TanÄ±tÄ±m Hizmetleri Tic</td>\n",
              "      <td>http://inovatiff.com</td>\n",
              "      <td>Consumer Goods|E-Commerce|Internet</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/ä°novatiff-reklam-ve-tanä±tä±m-h...</td>\n",
              "      <td>/funding-round/af942869878d2cd788ef5189b435ebc4</td>\n",
              "      <td>grant</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-10-2013</td>\n",
              "      <td>14,851.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>114949 rows × 16 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                permalink  ... raised_amount_usd\n",
              "0                                     /organization/-fame  ...     10,000,000.00\n",
              "1                                  /organization/-qounter  ...               nan\n",
              "2                                  /organization/-qounter  ...        700,000.00\n",
              "3                     /organization/-the-one-of-them-inc-  ...      3,406,878.00\n",
              "4                                   /organization/0-6-com  ...      2,000,000.00\n",
              "...                                                   ...  ...               ...\n",
              "114944                          /organization/zzzzapp-com  ...         41,313.00\n",
              "114945                          /organization/zzzzapp-com  ...         32,842.00\n",
              "114946                               /organization/ãeron  ...               nan\n",
              "114947                             /organization/ãasys-2  ...         18,192.00\n",
              "114948  /organization/ä°novatiff-reklam-ve-tanä±tä±m-h...  ...         14,851.00\n",
              "\n",
              "[114949 rows x 16 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 146
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1CsTlpzsoAkZ"
      },
      "source": [
        "Right join towards rounds table since we require to add companies information into rounds information. The joined dataset contains 114949 rows."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c9_uZfAeri2y"
      },
      "source": [
        "##Funding Type Analysis"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R3xgnihYswmV"
      },
      "source": [
        "Considering the four funding types and dropping NAs "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "XzBW0Aj0aeiS",
        "outputId": "c59a94c5-4cfd-4d3f-dec8-1c402f812c84"
      },
      "source": [
        "master_frameG = master_frame[[\"funding_round_type\",\"raised_amount_usd\"]][master_frame[\"funding_round_type\"].isin( [\"angel\",\"private_equity\",\"seed\",\"venture\"])].dropna()\n",
        "grouped = master_frameG.groupby([\"funding_round_type\"])\n",
        "grouped.describe()"
      ],
      "execution_count": 147,
      "outputs": [
        {
          "output_type": "execute_result",
          "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 tr th {\n",
              "        text-align: left;\n",
              "    }\n",
              "\n",
              "    .dataframe thead tr:last-of-type th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th colspan=\"8\" halign=\"left\">raised_amount_usd</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>funding_round_type</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>angel</th>\n",
              "      <td>4,860.00</td>\n",
              "      <td>958,694.47</td>\n",
              "      <td>7,404,397.12</td>\n",
              "      <td>0.00</td>\n",
              "      <td>150,000.00</td>\n",
              "      <td>400,000.00</td>\n",
              "      <td>1,000,000.00</td>\n",
              "      <td>494,511,992.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>private_equity</th>\n",
              "      <td>1,936.00</td>\n",
              "      <td>73,308,593.03</td>\n",
              "      <td>198,113,458.41</td>\n",
              "      <td>0.00</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>20,000,000.00</td>\n",
              "      <td>75,000,000.00</td>\n",
              "      <td>4,745,460,219.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>seed</th>\n",
              "      <td>23,603.00</td>\n",
              "      <td>719,818.00</td>\n",
              "      <td>2,221,732.80</td>\n",
              "      <td>0.00</td>\n",
              "      <td>55,000.00</td>\n",
              "      <td>275,000.00</td>\n",
              "      <td>1,000,000.00</td>\n",
              "      <td>200,000,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>venture</th>\n",
              "      <td>50,228.00</td>\n",
              "      <td>11,748,949.13</td>\n",
              "      <td>86,352,066.56</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1,600,901.75</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>12,000,000.00</td>\n",
              "      <td>17,600,000,000.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   raised_amount_usd  ...                  \n",
              "                               count  ...               max\n",
              "funding_round_type                    ...                  \n",
              "angel                       4,860.00  ...    494,511,992.00\n",
              "private_equity              1,936.00  ...  4,745,460,219.00\n",
              "seed                       23,603.00  ...    200,000,000.00\n",
              "venture                    50,228.00  ... 17,600,000,000.00\n",
              "\n",
              "[4 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8th7NiYsWH5m",
        "outputId": "3089b370-685c-44e2-8b8a-941554fa2782"
      },
      "source": [
        "venture_median = master_frame[master_frame.funding_round_type==\"venture\"].median()[\"raised_amount_usd\"]\n",
        "venture_median"
      ],
      "execution_count": 148,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5000000.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 148
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xhGrvlz1stBA"
      },
      "source": [
        "There are outliers, eg: 0 , and IQR and std also suggest median to be used as representative value. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4FNEfnPyaeku"
      },
      "source": [
        "Lets check if removing 2% quantiles affect these values"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "oWTDRAt2aeno",
        "outputId": "382c3420-27ca-4ac2-cb02-4f68fda68485"
      },
      "source": [
        "low = .02\n",
        "high = .98\n",
        "quant_df = grouped.quantile([low, high])\n",
        "master_frameG2 = master_frameG[master_frameG.apply(lambda x: (x[\"raised_amount_usd\"] <= quant_df.loc[x[\"funding_round_type\"], high]) & (x[\"raised_amount_usd\"] >= quant_df.loc[x[\"funding_round_type\"], low]) , axis = 1 )[\"raised_amount_usd\"]]\n",
        "groupedG2 = master_frameG2.groupby([\"funding_round_type\"])\n",
        "groupedG2.describe()"
      ],
      "execution_count": 149,
      "outputs": [
        {
          "output_type": "execute_result",
          "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 tr th {\n",
              "        text-align: left;\n",
              "    }\n",
              "\n",
              "    .dataframe thead tr:last-of-type th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th colspan=\"8\" halign=\"left\">raised_amount_usd</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>funding_round_type</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>angel</th>\n",
              "      <td>4,685.00</td>\n",
              "      <td>661,230.17</td>\n",
              "      <td>744,734.32</td>\n",
              "      <td>10,000.00</td>\n",
              "      <td>152,499.00</td>\n",
              "      <td>400,000.00</td>\n",
              "      <td>940,000.00</td>\n",
              "      <td>4,500,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>private_equity</th>\n",
              "      <td>1,868.00</td>\n",
              "      <td>55,916,472.02</td>\n",
              "      <td>84,318,265.67</td>\n",
              "      <td>50,000.00</td>\n",
              "      <td>5,216,089.75</td>\n",
              "      <td>20,000,000.00</td>\n",
              "      <td>75,000,000.00</td>\n",
              "      <td>500,000,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>seed</th>\n",
              "      <td>22,701.00</td>\n",
              "      <td>598,234.00</td>\n",
              "      <td>726,645.89</td>\n",
              "      <td>10,000.00</td>\n",
              "      <td>61,000.00</td>\n",
              "      <td>275,000.00</td>\n",
              "      <td>950,000.00</td>\n",
              "      <td>3,536,085.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>venture</th>\n",
              "      <td>48,231.00</td>\n",
              "      <td>8,839,723.60</td>\n",
              "      <td>10,624,488.78</td>\n",
              "      <td>90,249.00</td>\n",
              "      <td>1,750,000.00</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>11,500,000.00</td>\n",
              "      <td>60,000,000.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   raised_amount_usd                ...                             \n",
              "                               count          mean  ...           75%            max\n",
              "funding_round_type                                  ...                             \n",
              "angel                       4,685.00    661,230.17  ...    940,000.00   4,500,000.00\n",
              "private_equity              1,868.00 55,916,472.02  ... 75,000,000.00 500,000,000.00\n",
              "seed                       22,701.00    598,234.00  ...    950,000.00   3,536,085.00\n",
              "venture                    48,231.00  8,839,723.60  ... 11,500,000.00  60,000,000.00\n",
              "\n",
              "[4 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 149
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "at1mPhU1u_Eh"
      },
      "source": [
        "No change in medians, but std is slightly more stable"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292
        },
        "id": "oWT-LB-dvS0-",
        "outputId": "6b181c84-334b-4b61-aed0-f1cdeb18dc21"
      },
      "source": [
        "sns.boxplot(data=master_frameG, x = \"funding_round_type\", y = \"raised_amount_usd\")\n",
        "plt.show()"
      ],
      "execution_count": 150,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LLXsZSuX0XdE"
      },
      "source": [
        "Hiding outliers"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "xI8Gl0iku_OX",
        "outputId": "bff2337f-df7f-4173-fed3-52950868f446"
      },
      "source": [
        "# plt.figure(figsize=[9,7])\n",
        "sns.boxplot(data=master_frameG, x = \"funding_round_type\", y = \"raised_amount_usd\",showfliers=False)\n",
        "plt.ticklabel_format(style='plain', axis='y')  ## non-scientific y-axis\n",
        "plt.show()"
      ],
      "execution_count": 151,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XSZJbe1EzuGr"
      },
      "source": [
        "Lets plot after removing 25% quantiles"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        },
        "id": "oFt1RBuyu_Xo",
        "outputId": "267a85bf-0db4-44dc-ca39-c20981e63b32"
      },
      "source": [
        "plt.figure(figsize=[9,7])\n",
        "ax = sns.boxplot(data=master_frameG, x = \"funding_round_type\", y = \"raised_amount_usd\",showfliers=False, whis=[25, 75])\n",
        "plt.ticklabel_format(style='plain', axis='y')  \n",
        "ax.set(xlabel = \"Funding Round Type\", ylabel='Raised Amount (USD)')\n",
        "\n",
        "plt.title(\"Boxplot for 4 funding types\")\n",
        "plt.show()"
      ],
      "execution_count": 152,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "haLohC-0RwKr"
      },
      "source": [
        "Change to log scale"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        },
        "id": "cfzh89J5Rwnk",
        "outputId": "6f50601f-85bb-4c05-c34e-8af7789c8243"
      },
      "source": [
        "plt.figure(figsize=[9,7])\n",
        "ax = sns.boxplot(data=master_frameG, x = \"funding_round_type\", y = \"raised_amount_usd\")\n",
        "plt.ticklabel_format(style='plain', axis='y')  \n",
        "ax.set(xlabel = \"Funding Round Type\", ylabel='Raised Amount (USD)')\n",
        "\n",
        "plt.yscale(\"log\")\n",
        "plt.title(\"Boxplot for 4 funding types (Log scale)\")\n",
        "plt.show()"
      ],
      "execution_count": 153,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zi3w_wKOu_dD"
      },
      "source": [
        "This shows venture type funding suits Spark funds.\n",
        "\n",
        "##Country analysis\n",
        "\n",
        "Lets filter venture type funding and group by country code to get top 9 heavily invested countries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        },
        "id": "O4xHka_5u_hC",
        "outputId": "21267a72-e61f-4fd9-f048-1fe9e3ccd790"
      },
      "source": [
        "groupedtop9 = master_frame[[\"country_code\",\"raised_amount_usd\"]][master_frame[\"funding_round_type\"]==\"venture\"].dropna().groupby([\"country_code\"])\n",
        "top9 = groupedtop9.agg([np.sum, np.mean, np.std, \"count\"])[\"raised_amount_usd\"].sort_values([\"sum\"],ascending=False).iloc[0:9,:]\n",
        "top9"
      ],
      "execution_count": 154,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>sum</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>country_code</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>USA</th>\n",
              "      <td>422,510,842,796.00</td>\n",
              "      <td>11,691,271.00</td>\n",
              "      <td>99,515,071.88</td>\n",
              "      <td>36139</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CHN</th>\n",
              "      <td>39,835,418,773.00</td>\n",
              "      <td>25,470,216.61</td>\n",
              "      <td>65,692,989.71</td>\n",
              "      <td>1564</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GBR</th>\n",
              "      <td>20,245,627,416.00</td>\n",
              "      <td>9,851,886.82</td>\n",
              "      <td>27,629,966.06</td>\n",
              "      <td>2055</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IND</th>\n",
              "      <td>14,391,858,718.00</td>\n",
              "      <td>17,465,847.96</td>\n",
              "      <td>52,553,965.59</td>\n",
              "      <td>824</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CAN</th>\n",
              "      <td>9,583,332,317.00</td>\n",
              "      <td>7,630,041.65</td>\n",
              "      <td>11,623,451.29</td>\n",
              "      <td>1256</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FRA</th>\n",
              "      <td>7,259,536,732.00</td>\n",
              "      <td>7,916,615.85</td>\n",
              "      <td>20,906,397.60</td>\n",
              "      <td>917</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ISR</th>\n",
              "      <td>6,907,514,579.00</td>\n",
              "      <td>8,677,782.13</td>\n",
              "      <td>10,861,274.83</td>\n",
              "      <td>796</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DEU</th>\n",
              "      <td>6,346,959,822.00</td>\n",
              "      <td>11,374,479.97</td>\n",
              "      <td>18,607,789.38</td>\n",
              "      <td>558</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>JPN</th>\n",
              "      <td>3,363,676,611.00</td>\n",
              "      <td>12,276,192.01</td>\n",
              "      <td>26,308,857.70</td>\n",
              "      <td>274</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                            sum          mean           std  count\n",
              "country_code                                                      \n",
              "USA          422,510,842,796.00 11,691,271.00 99,515,071.88  36139\n",
              "CHN           39,835,418,773.00 25,470,216.61 65,692,989.71   1564\n",
              "GBR           20,245,627,416.00  9,851,886.82 27,629,966.06   2055\n",
              "IND           14,391,858,718.00 17,465,847.96 52,553,965.59    824\n",
              "CAN            9,583,332,317.00  7,630,041.65 11,623,451.29   1256\n",
              "FRA            7,259,536,732.00  7,916,615.85 20,906,397.60    917\n",
              "ISR            6,907,514,579.00  8,677,782.13 10,861,274.83    796\n",
              "DEU            6,346,959,822.00 11,374,479.97 18,607,789.38    558\n",
              "JPN            3,363,676,611.00 12,276,192.01 26,308,857.70    274"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 154
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "822AKVhk29Df"
      },
      "source": [
        "China not being in english speaking country [list](https://en.wikipedia.org/wiki/List_of_territorial_entities_where_English_is_an_official_language), we take USA, Great Britain and India"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XpwL1XQG29HE"
      },
      "source": [
        "## OR using pivot tables\n",
        "# asd = master_frame[[\"country_code\",\"raised_amount_usd\"]][master_frame[\"funding_round_type\"]==\"venture\"].dropna()\n",
        "# pd.pivot_table(asd, index = \"country_code\", values = \"raised_amount_usd\",aggfunc=[np.sum,len])[\"sum\"].sort_values([\"raised_amount_usd\"],ascending=False).iloc[0:9,:]"
      ],
      "execution_count": 155,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "S3eGr0Rx29J2",
        "outputId": "552cb07b-5155-4f9e-ad6c-9d724b39f2e9"
      },
      "source": [
        "top9[\"country_code\"] = top9.index\n",
        "ax = sns.barplot(data=top9,x=\"country_code\",y=\"sum\")\n",
        "plt.ticklabel_format(style='plain', axis='y')  \n",
        "ax.set(xlabel = \"Country Code\", ylabel='Total Investment (USD)')\n",
        "plt.title(\"Country wise total investment (USD)\")\n",
        "plt.show()"
      ],
      "execution_count": 156,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qk-oiHkd7JU1"
      },
      "source": [
        "## Sector Analysis"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "id": "fxuUzSQR8LeG",
        "outputId": "22f5a903-7b24-441b-9a3b-4231a6c0ee05"
      },
      "source": [
        "mapping = pd.read_csv(\"https://docs.google.com/uc?export=download&id=1Ebsa6nyKseIJymf3vNM6kh4C6oicgfex\",encoding = 'unicode_escape')\n",
        "mapping"
      ],
      "execution_count": 157,
      "outputs": [
        {
          "output_type": "execute_result",
          "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_list</th>\n",
              "      <th>Automotive &amp; Sports</th>\n",
              "      <th>Blanks</th>\n",
              "      <th>Cleantech / Semiconductors</th>\n",
              "      <th>Entertainment</th>\n",
              "      <th>Health</th>\n",
              "      <th>Manufacturing</th>\n",
              "      <th>News, Search and Messaging</th>\n",
              "      <th>Others</th>\n",
              "      <th>Social, Finance, Analytics, Advertising</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3D</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3D Printing</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3D Technology</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Accounting</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>683</th>\n",
              "      <td>Wholesale</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>684</th>\n",
              "      <td>Wine And Spirits</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>685</th>\n",
              "      <td>Wireless</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>686</th>\n",
              "      <td>Women</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>687</th>\n",
              "      <td>Young Adults</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>688 rows × 10 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        category_list  ...  Social, Finance, Analytics, Advertising\n",
              "0                 NaN  ...                                        0\n",
              "1                  3D  ...                                        0\n",
              "2         3D Printing  ...                                        0\n",
              "3       3D Technology  ...                                        0\n",
              "4          Accounting  ...                                        1\n",
              "..                ...  ...                                      ...\n",
              "683         Wholesale  ...                                        0\n",
              "684  Wine And Spirits  ...                                        0\n",
              "685          Wireless  ...                                        0\n",
              "686             Women  ...                                        0\n",
              "687      Young Adults  ...                                        0\n",
              "\n",
              "[688 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 157
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3yjGfRiW8o7i"
      },
      "source": [
        "First row needs to be removed.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JiRwU7bZ9c2d",
        "outputId": "b928e215-46b2-41dc-c79c-156cb6870f25"
      },
      "source": [
        "mapping = mapping.dropna()\n",
        "mapping.sum(axis=0)"
      ],
      "execution_count": 158,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "category_list                              3D3D Printing3D TechnologyAccountingActive Lif...\n",
              "Automotive & Sports                                                                       22\n",
              "Blanks                                                                                     0\n",
              "Cleantech / Semiconductors                                                                53\n",
              "Entertainment                                                                             89\n",
              "Health                                                                                    63\n",
              "Manufacturing                                                                             40\n",
              "News, Search and Messaging                                                                72\n",
              "Others                                                                                   195\n",
              "Social, Finance, Analytics, Advertising                                                  153\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 158
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cb241Vs880tM"
      },
      "source": [
        " Blanks Column is irrelevant."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "id": "CHuFZUs29pvA",
        "outputId": "a12a40e1-ded8-458f-8e38-462720d039b3"
      },
      "source": [
        "mapping"
      ],
      "execution_count": 159,
      "outputs": [
        {
          "output_type": "execute_result",
          "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_list</th>\n",
              "      <th>Automotive &amp; Sports</th>\n",
              "      <th>Blanks</th>\n",
              "      <th>Cleantech / Semiconductors</th>\n",
              "      <th>Entertainment</th>\n",
              "      <th>Health</th>\n",
              "      <th>Manufacturing</th>\n",
              "      <th>News, Search and Messaging</th>\n",
              "      <th>Others</th>\n",
              "      <th>Social, Finance, Analytics, Advertising</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3D</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3D Printing</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3D Technology</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Accounting</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Active Lifestyle</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>683</th>\n",
              "      <td>Wholesale</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>684</th>\n",
              "      <td>Wine And Spirits</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>685</th>\n",
              "      <td>Wireless</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>686</th>\n",
              "      <td>Women</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>687</th>\n",
              "      <td>Young Adults</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>687 rows × 10 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        category_list  ...  Social, Finance, Analytics, Advertising\n",
              "1                  3D  ...                                        0\n",
              "2         3D Printing  ...                                        0\n",
              "3       3D Technology  ...                                        0\n",
              "4          Accounting  ...                                        1\n",
              "5    Active Lifestyle  ...                                        0\n",
              "..                ...  ...                                      ...\n",
              "683         Wholesale  ...                                        0\n",
              "684  Wine And Spirits  ...                                        0\n",
              "685          Wireless  ...                                        0\n",
              "686             Women  ...                                        0\n",
              "687      Young Adults  ...                                        0\n",
              "\n",
              "[687 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 159
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5TZ6oRai-EPN"
      },
      "source": [
        "Convert Long to wide"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0s1Cewcl80iR",
        "outputId": "6818be10-245f-4b46-8aea-50823aee2075"
      },
      "source": [
        "mapping[\"category\"] =  mapping.iloc[:,1:10].idxmax(1) ## Or use melt"
      ],
      "execution_count": 160,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "id": "nQcBOghQ-Iq4",
        "outputId": "b908f410-2494-404a-c44e-8b703568ebbe"
      },
      "source": [
        "mapping"
      ],
      "execution_count": 161,
      "outputs": [
        {
          "output_type": "execute_result",
          "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_list</th>\n",
              "      <th>Automotive &amp; Sports</th>\n",
              "      <th>Blanks</th>\n",
              "      <th>Cleantech / Semiconductors</th>\n",
              "      <th>Entertainment</th>\n",
              "      <th>Health</th>\n",
              "      <th>Manufacturing</th>\n",
              "      <th>News, Search and Messaging</th>\n",
              "      <th>Others</th>\n",
              "      <th>Social, Finance, Analytics, Advertising</th>\n",
              "      <th>category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3D</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Manufacturing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3D Printing</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Manufacturing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3D Technology</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Manufacturing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Accounting</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Active Lifestyle</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Health</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>683</th>\n",
              "      <td>Wholesale</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Others</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>684</th>\n",
              "      <td>Wine And Spirits</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>685</th>\n",
              "      <td>Wireless</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>686</th>\n",
              "      <td>Women</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Others</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>687</th>\n",
              "      <td>Young Adults</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Others</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>687 rows × 11 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        category_list  ...                                 category\n",
              "1                  3D  ...                            Manufacturing\n",
              "2         3D Printing  ...                            Manufacturing\n",
              "3       3D Technology  ...                            Manufacturing\n",
              "4          Accounting  ...  Social, Finance, Analytics, Advertising\n",
              "5    Active Lifestyle  ...                                   Health\n",
              "..                ...  ...                                      ...\n",
              "683         Wholesale  ...                                   Others\n",
              "684  Wine And Spirits  ...                            Entertainment\n",
              "685          Wireless  ...                            Entertainment\n",
              "686             Women  ...                                   Others\n",
              "687      Young Adults  ...                                   Others\n",
              "\n",
              "[687 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 161
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4E5r4My--MsV",
        "outputId": "0af518ef-034b-49ab-e53a-204f44e8bfd3"
      },
      "source": [
        "mapping.category_list.unique()"
      ],
      "execution_count": 162,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['3D', '3D Printing', '3D Technology', 'Accounting',\n",
              "       'Active Lifestyle', 'Ad Targeting', 'Advanced Materials',\n",
              "       'Adventure Travel', 'Advertising', 'Advertising Exchanges',\n",
              "       'Advertising Networks', 'Advertising Platforms', 'Advice',\n",
              "       'Aerospace', 'Agriculture', 'Air Pollution Control', 'Algorithms',\n",
              "       'All Markets', 'All Students', 'Alter0tive Medicine', 'Alumni',\n",
              "       'A0lytics', 'Android', 'Angels', 'Animal Feed',\n",
              "       'Anything Capital Intensive', 'App Discovery', 'App Marketing',\n",
              "       'App Stores', 'Application Performance Monitoring',\n",
              "       'Application Platforms', 'Apps', 'Aquaculture', 'Architecture',\n",
              "       'Archiving', 'Art', 'Artificial Intelligence', 'Artists Globally',\n",
              "       'Assisitive Technology', 'Assisted Living', 'Auctions', 'Audio',\n",
              "       'Audiobooks', 'Augmented Reality', 'Auto', 'Automated Kiosk',\n",
              "       'Automotive', 'B2B', 'B2B Express Delivery', 'Babies',\n",
              "       'Baby Accessories', 'Baby Boomers', 'Baby Safety', 'Banking',\n",
              "       'Batteries', 'Beauty', 'Bicycles', 'Big Data', 'Big Data A0lytics',\n",
              "       'Billing', 'Bio-Pharm', 'Biofuels', 'Bioinformatics',\n",
              "       'Biomass Power Generation', 'Biometrics', 'Biotechnology',\n",
              "       'Bitcoin', 'Blogging Platforms', 'Boating Industry',\n",
              "       'BPO Services', 'Brand Marketing', 'Brewing',\n",
              "       'Bridging Online and Offline', 'Broadcasting', 'Brokers',\n",
              "       'Browser Extensions', 'Building Owners', 'Building Products',\n",
              "       'Business A0lytics', 'Business Development',\n",
              "       'Business Information Systems', 'Business Intelligence',\n",
              "       'Business Productivity', 'Business Services', 'Business Travelers',\n",
              "       'Cable', 'CAD', 'Call Center Automation', 'Can0bis', 'Carbon',\n",
              "       'Career Ma0gement', 'Career Planning', 'Cars', 'Casual Games',\n",
              "       'Celebrity', 'Certification Test', 'Charities', 'Charity',\n",
              "       'Charter Schools', 'Chat', 'Chemicals', 'Child Care',\n",
              "       'Chi0 Internet', 'Civil Engineers', 'Classifieds', 'Clean Energy',\n",
              "       'Clean Technology', 'Clean Technology IT', 'Clinical Trials',\n",
              "       'Cloud-Based Music', 'Cloud Computing', 'Cloud Data Services',\n",
              "       'Cloud Infrastructure', 'Cloud Ma0gement', 'Cloud Security',\n",
              "       'Coffee', 'Collaboration', 'Collaborative Consumption',\n",
              "       'Collectibles', 'College Campuses', 'College Recruiting',\n",
              "       'Colleges', 'Comics', 'Commercial Real Estate', 'Commercial Solar',\n",
              "       'Commodities', 'Communications Hardware',\n",
              "       'Communications Infrastructure', 'Communities',\n",
              "       'Comparison Shopping', 'Computer Vision', 'Computers',\n",
              "       'Concentrated Solar Power', 'Concerts', 'Console Gaming',\n",
              "       'Construction', 'Consulting', 'Consumer Behavior',\n",
              "       'Consumer Electronics', 'Consumer Goods', 'Consumer Internet',\n",
              "       'Consumer Lending', 'Consumers', 'Contact Centers',\n",
              "       'Contact Ma0gement', 'Content', 'Content Creators',\n",
              "       'Content Delivery', 'Content Discovery', 'Content Syndication',\n",
              "       'Contests', 'Cooking', 'Corporate IT', 'Corporate Training',\n",
              "       'Corporate Wellness', 'Cosmetic Surgery', 'Cosmetics', 'Coupons',\n",
              "       'Coworking', 'Craft Beer', 'Creative', 'Creative Industries',\n",
              "       'Credit', 'Credit Cards', 'CRM', 'Crowdfunding', 'Crowdsourcing',\n",
              "       'Curated Web', 'Custom Retail', 'Customer Service',\n",
              "       'Customer Support Tools', 'Cyber', 'Cyber Security',\n",
              "       'Data Center Automation', 'Data Center Infrastructure',\n",
              "       'Data Centers', 'Data Integration', 'Data Mining', 'Data Privacy',\n",
              "       'Data Security', 'Data Visualization', 'Databases',\n",
              "       'Debt Collecting', 'Defense', 'Delivery', 'Demographies', 'Dental',\n",
              "       'Design', 'Designers', 'Developer APIs', 'Developer Tools',\n",
              "       'Development Platforms', 'Diabetes', 'Diagnostics',\n",
              "       'Dietary Supplements', 'Digital Entertainment', 'Digital Media',\n",
              "       'Digital Rights Ma0gement', 'Digital Sig0ge', 'Direct Advertising',\n",
              "       'Direct Marketing', 'Direct Sales', 'Discounts', 'Displays',\n",
              "       'Disruptive Models', 'Distribution', 'Distributors', 'DIY',\n",
              "       'Doctors', 'Document Ma0gement', 'DOD/Military', 'Domains',\n",
              "       'Drones', 'E-Books', 'E-Commerce', 'E-Commerce Platforms',\n",
              "       'Early-Stage Technology', 'EBooks', 'EDA Tools', 'Ediscovery',\n",
              "       'EdTech', 'Education', 'Educatio0l Games', 'Edutainment',\n",
              "       'Elder Care', 'Electric Vehicles', 'Electrical Distribution',\n",
              "       'Electronic Health Records', 'Electronics', 'Email',\n",
              "       'Email Marketing', 'Email Newsletters',\n",
              "       'Embedded Hardware and Software', 'Emerging Markets',\n",
              "       'Employer Benefits Programs', 'Employment', 'Energy',\n",
              "       'Energy Efficiency', 'Energy IT', 'Energy Ma0gement',\n",
              "       'Energy Storage', 'Engineering Firms', 'Enterprise 2.0',\n",
              "       'Enterprise Application', 'Enterprise Purchasing',\n",
              "       'Enterprise Resource Planning', 'Enterprise Search',\n",
              "       'Enterprise Security', 'Enterprise Software', 'Enterprises',\n",
              "       'Entertainment', 'Entertainment Industry', 'Entrepreneur',\n",
              "       'Environmental Innovation', 'Estimation and Quoting',\n",
              "       'Event Ma0gement', 'Events', 'Exercise', 'Eyewear',\n",
              "       'Face Recognition', 'Facebook Applications', 'Families',\n",
              "       'Fantasy Sports', 'Farmers Market', 'Farming', 'Fashion',\n",
              "       'Fertility', 'Field Support Services', 'File Sharing', 'Film',\n",
              "       'Film Distribution', 'Film Production', 'Fi0nce',\n",
              "       'Fi0nce Technology', 'Fi0ncial Exchanges', 'Fi0ncial Services',\n",
              "       'FinTech', 'Fitness', 'Flash Sales', 'Flash Storage',\n",
              "       'Fleet Ma0gement', 'Flowers', 'Fmcg', 'Food Processing', 'Forums',\n",
              "       'Fraud Detection', 'Freelancers', 'Freemium', 'FreetoPlay Gaming',\n",
              "       'Fruit', 'Fuel Cells', 'Fuels', 'Funeral Industry', 'Furniture',\n",
              "       'Gadget', 'Gambling', 'Game', 'Game Mechanics', 'Games',\n",
              "       'Gamification', 'Gas', 'Gay & Lesbian', 'General Public Worldwide',\n",
              "       'Genetic Testing', 'Geospatial', 'Gift Card', 'Gift Exchange',\n",
              "       'Gift Registries', 'Gold', 'Gover0nce', 'Government Innovation',\n",
              "       'Governments', 'Gps', 'Graphics', 'Green', 'Green Consumer Goods',\n",
              "       'Groceries', 'Group Buying', 'Group SMS', 'Guides', 'Handmade',\n",
              "       'Hardware', 'Hardware + Software', 'Health and Insurance',\n",
              "       'Health and Wellness', 'Health Care',\n",
              "       'Health Care Information Technology', 'Health Diagnostics',\n",
              "       'Health Services Industry', 'Healthcare Services',\n",
              "       'Heavy Industry', 'Hedge Funds', 'High School Students',\n",
              "       'High Schools', 'High Tech', 'Home & Garden', 'Home Automation',\n",
              "       'Home Decor', 'Home Owners', 'Home Renovation',\n",
              "       'Homeland Security', 'Homeless Shelter', 'Hospitality',\n",
              "       'Hospitals', 'Hotels', 'Human Computer Interaction',\n",
              "       'Human Resource Automation', 'Human Resources', 'Humanitarian',\n",
              "       'IaaS', 'ICT', 'Identity', 'Identity Ma0gement',\n",
              "       'Image Recognition', 'Impact Investing', 'In-Flight Entertainment',\n",
              "       'Incentives', 'Incubators', 'Independent Music Labels',\n",
              "       'Independent Pharmacies', 'Indians', 'Indoor Positioning',\n",
              "       'Industrial', 'Industrial Automation', 'Information Security',\n",
              "       'Information Services', 'Information Technology', 'Infrastructure',\n",
              "       'Innovation Engineering', 'Innovation Ma0gement', 'Insurance',\n",
              "       'Intellectual Asset Ma0gement', 'Intellectual Property',\n",
              "       'Intelligent Systems', 'Interest Graph', 'Interface Design',\n",
              "       'Interior Design', 'Internet', 'Internet Infrastructure',\n",
              "       'Internet Marketing', 'Internet of Things',\n",
              "       'Internet Radio Market', 'Internet Service Providers',\n",
              "       'Investment Ma0gement', 'iOS', 'iPad', 'iPhone',\n",
              "       'IT and Cybersecurity', 'IT Ma0gement', 'Jewelry', 'Jour0lism',\n",
              "       'K-12 Education', 'Kids', 'Knowledge Ma0gement', 'Landscaping',\n",
              "       'Language Learning', 'Lasers', 'Law Enforcement',\n",
              "       'Lead Generation', 'Lead Ma0gement', 'Legal', 'Leisure',\n",
              "       'Licensing', 'Life Sciences', 'Lifestyle', 'Lifestyle Businesses',\n",
              "       'Lifestyle Products', 'Lighting', 'Limousines', 'Linux', 'Local',\n",
              "       'Local Advertising', 'Local Based Services', 'Local Businesses',\n",
              "       'Local Commerce', 'Local Search', 'Location Based Services',\n",
              "       'Logistics', 'Logistics Company', 'Lotteries', 'Low Bid Auctions',\n",
              "       'Loyalty Programs', 'M2M', 'Machine Learning', 'Manufacturing',\n",
              "       'Maps', 'Market Research', 'Marketing Automation', 'Marketplaces',\n",
              "       'Mass Customization', 'Match-Making', 'Material Science',\n",
              "       'Mechanical Solutions', 'Media', 'Medical', 'Medical Devices',\n",
              "       'Medical Professio0ls', 'Meeting Software', 'Mens Specific',\n",
              "       'Messaging', 'mHealth', 'Micro-Enterprises', 'MicroBlogging',\n",
              "       'Minerals', 'Mining Technologies', 'Mobile', 'Mobile Advertising',\n",
              "       'Mobile A0lytics', 'Mobile Commerce', 'Mobile Devices',\n",
              "       'Mobile Enterprise', 'Mobile Games', 'Mobile Health',\n",
              "       'Mobile Infrastructure', 'Mobile Payments', 'Mobile Security',\n",
              "       'Mobile Shopping', 'Mobile Social', 'Mobile Software Tools',\n",
              "       'Mobile Video', 'Mobility', 'Monetization', 'Moneymaking',\n",
              "       'Multi-level Marketing', 'Music', 'Music Education',\n",
              "       'Music Services', 'Music Venues', 'Musical Instruments',\n",
              "       'Musicians', '0notechnology', '0tural Language Processing',\n",
              "       '0tural Resources', '0vigation', 'Network Security', 'Networking',\n",
              "       'Neuroscience', 'New Product Development', 'New Technologies',\n",
              "       'News', 'Non-Tech', 'Non Profit', 'Nonprofits', 'Nutrition',\n",
              "       'Office Space', 'Oil', 'Oil & Gas', 'Oil and Gas', 'Online Dating',\n",
              "       'Online Education', 'Online Gaming', 'Online Identity',\n",
              "       'Online Rental', 'Online Reservations', 'Online Scheduling',\n",
              "       'Online Shopping', 'Online Travel', 'Online Video Advertising',\n",
              "       'Open Source', 'Opinions', 'Optical Communications',\n",
              "       'Optimization', 'Organic', 'Organic Food', 'Outdoors',\n",
              "       'Outsourcing', 'P2P Money Transfer', 'PaaS', 'Parenting',\n",
              "       'Parking', 'Payments', 'Peer-to-Peer', 'Performance Marketing',\n",
              "       'Perso0l Branding', 'Perso0l Data', 'Perso0l Fi0nce',\n",
              "       'Perso0l Health', 'Perso0lization', 'Pervasive Computing', 'Pets',\n",
              "       'Pharmaceuticals', 'Photo Editing', 'Photo Sharing', 'Photography',\n",
              "       'Physical Security', 'Physicians', 'Plumbers', 'Point of Sale',\n",
              "       'Politics', 'Polling', 'Portals', 'Postal and Courier Services',\n",
              "       'Pre Seed', 'Predictive A0lytics', 'Presentations',\n",
              "       'Price Comparison', 'Printing', 'Privacy', 'Private School',\n",
              "       'Private Social Networking', 'Procurement', 'Product Design',\n",
              "       'Product Development Services', 'Productivity',\n",
              "       'Productivity Software', 'Professio0l Networking',\n",
              "       'Professio0l Services', 'Project Ma0gement', 'Promotio0l',\n",
              "       'Property Ma0gement', 'Public Relations', 'Public Safety',\n",
              "       'Public Transportation', 'Publishing', 'Q&A', 'QR Codes',\n",
              "       'Real Estate', 'Real Time', 'Realtors', 'Recreation', 'Recruiting',\n",
              "       'Recycling', 'Religion', 'Renewable Energies', 'Renewable Tech',\n",
              "       'Rental Housing', 'Reputation', 'Resorts', 'Restaurants', 'Retail',\n",
              "       'Retail Technology', 'Reviews and Recommendations', 'RFID',\n",
              "       'Ride Sharing', 'Risk Ma0gement', 'Robotics', 'SaaS',\n",
              "       'Sales and Marketing', 'Sales Automation', 'Search',\n",
              "       'Search Marketing', 'Security',\n",
              "       'Semiconductor Manufacturing Equipment', 'Semiconductors',\n",
              "       'Senior Citizens', 'Senior Health', 'Sensors', 'SEO',\n",
              "       'Service Industries', 'Service Providers', 'Services', 'SexTech',\n",
              "       'Shared Services', 'Shipping', 'Shoes', 'Shopping', 'Simulation',\n",
              "       'Skill Assessment', 'Small and Medium Businesses', 'Smart Grid',\n",
              "       'SNS', 'Soccer', 'Social + Mobile + Local', 'Social Bookmarking',\n",
              "       'Social Business', 'Social Buying', 'Social Commerce',\n",
              "       'Social CRM', 'Social Fundraising', 'Social Games', 'Social Media',\n",
              "       'Social Media Ma0gement', 'Social Media Marketing',\n",
              "       'Social Media Platforms', 'Social Network Media', 'Social News',\n",
              "       'Social Recruiting', 'Social Television', 'Social Travel',\n",
              "       'Software', 'Solar', 'Space Travel', 'Specialty Chemicals',\n",
              "       'Specialty Foods', 'Speech Recognition', 'Sporting Goods',\n",
              "       'Sports', 'Staffing Firms', 'Startups', 'Stock Exchanges',\n",
              "       'Storage', 'Subscription Service', 'Supply Chain Ma0gement',\n",
              "       'Surveys', 'Synchronization', 'Systems', 'Task Ma0gement', 'Taxis',\n",
              "       'Tea', 'Technology', 'Telecommunications', 'Television',\n",
              "       'Textiles', 'Theatre', 'Therapeutics', 'Ticketing', 'Tourism',\n",
              "       'Tracking', 'Trading', 'Training', 'Translation', 'Transportation',\n",
              "       'Travel', 'Travel & Tourism', 'Universities',\n",
              "       'University Students', 'Unmanned Air Systems', 'Usability',\n",
              "       'User Experience Design', 'User Interface', 'Utilities',\n",
              "       'Vending and Concessions', 'Venture Capital', 'Veteri0ry', 'Video',\n",
              "       'Video Conferencing', 'Video Games', 'Video on Demand',\n",
              "       'Video Streaming', 'Virtual Workforces', 'VoIP', 'Waste Ma0gement',\n",
              "       'Watch', 'Water', 'Water Purification', 'Wearables',\n",
              "       'Web Browsers', 'Web Design', 'Web Development', 'Web Hosting',\n",
              "       'Web Tools', 'Weddings', 'Wholesale', 'Wine And Spirits',\n",
              "       'Wireless', 'Women', 'Young Adults'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 162
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Im6y0_3j-gPY"
      },
      "source": [
        "Some issues seem to be in spellings Eg: \"Perso0l Data\", \"Risk Ma0gement\". Being important column, lets fix them by converting \"0\" to \"na\" manually"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fPZjSDzJ-1pn",
        "outputId": "823eb21b-bb49-427a-d63d-483ea6096d1c"
      },
      "source": [
        "mapping.category_list.str.replace(\"0\",\"na\").unique()"
      ],
      "execution_count": 163,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['3D', '3D Printing', '3D Technology', 'Accounting',\n",
              "       'Active Lifestyle', 'Ad Targeting', 'Advanced Materials',\n",
              "       'Adventure Travel', 'Advertising', 'Advertising Exchanges',\n",
              "       'Advertising Networks', 'Advertising Platforms', 'Advice',\n",
              "       'Aerospace', 'Agriculture', 'Air Pollution Control', 'Algorithms',\n",
              "       'All Markets', 'All Students', 'Alternative Medicine', 'Alumni',\n",
              "       'Analytics', 'Android', 'Angels', 'Animal Feed',\n",
              "       'Anything Capital Intensive', 'App Discovery', 'App Marketing',\n",
              "       'App Stores', 'Application Performance Monitoring',\n",
              "       'Application Platforms', 'Apps', 'Aquaculture', 'Architecture',\n",
              "       'Archiving', 'Art', 'Artificial Intelligence', 'Artists Globally',\n",
              "       'Assisitive Technology', 'Assisted Living', 'Auctions', 'Audio',\n",
              "       'Audiobooks', 'Augmented Reality', 'Auto', 'Automated Kiosk',\n",
              "       'Automotive', 'B2B', 'B2B Express Delivery', 'Babies',\n",
              "       'Baby Accessories', 'Baby Boomers', 'Baby Safety', 'Banking',\n",
              "       'Batteries', 'Beauty', 'Bicycles', 'Big Data',\n",
              "       'Big Data Analytics', 'Billing', 'Bio-Pharm', 'Biofuels',\n",
              "       'Bioinformatics', 'Biomass Power Generation', 'Biometrics',\n",
              "       'Biotechnology', 'Bitcoin', 'Blogging Platforms',\n",
              "       'Boating Industry', 'BPO Services', 'Brand Marketing', 'Brewing',\n",
              "       'Bridging Online and Offline', 'Broadcasting', 'Brokers',\n",
              "       'Browser Extensions', 'Building Owners', 'Building Products',\n",
              "       'Business Analytics', 'Business Development',\n",
              "       'Business Information Systems', 'Business Intelligence',\n",
              "       'Business Productivity', 'Business Services', 'Business Travelers',\n",
              "       'Cable', 'CAD', 'Call Center Automation', 'Cannabis', 'Carbon',\n",
              "       'Career Management', 'Career Planning', 'Cars', 'Casual Games',\n",
              "       'Celebrity', 'Certification Test', 'Charities', 'Charity',\n",
              "       'Charter Schools', 'Chat', 'Chemicals', 'Child Care',\n",
              "       'China Internet', 'Civil Engineers', 'Classifieds', 'Clean Energy',\n",
              "       'Clean Technology', 'Clean Technology IT', 'Clinical Trials',\n",
              "       'Cloud-Based Music', 'Cloud Computing', 'Cloud Data Services',\n",
              "       'Cloud Infrastructure', 'Cloud Management', 'Cloud Security',\n",
              "       'Coffee', 'Collaboration', 'Collaborative Consumption',\n",
              "       'Collectibles', 'College Campuses', 'College Recruiting',\n",
              "       'Colleges', 'Comics', 'Commercial Real Estate', 'Commercial Solar',\n",
              "       'Commodities', 'Communications Hardware',\n",
              "       'Communications Infrastructure', 'Communities',\n",
              "       'Comparison Shopping', 'Computer Vision', 'Computers',\n",
              "       'Concentrated Solar Power', 'Concerts', 'Console Gaming',\n",
              "       'Construction', 'Consulting', 'Consumer Behavior',\n",
              "       'Consumer Electronics', 'Consumer Goods', 'Consumer Internet',\n",
              "       'Consumer Lending', 'Consumers', 'Contact Centers',\n",
              "       'Contact Management', 'Content', 'Content Creators',\n",
              "       'Content Delivery', 'Content Discovery', 'Content Syndication',\n",
              "       'Contests', 'Cooking', 'Corporate IT', 'Corporate Training',\n",
              "       'Corporate Wellness', 'Cosmetic Surgery', 'Cosmetics', 'Coupons',\n",
              "       'Coworking', 'Craft Beer', 'Creative', 'Creative Industries',\n",
              "       'Credit', 'Credit Cards', 'CRM', 'Crowdfunding', 'Crowdsourcing',\n",
              "       'Curated Web', 'Custom Retail', 'Customer Service',\n",
              "       'Customer Support Tools', 'Cyber', 'Cyber Security',\n",
              "       'Data Center Automation', 'Data Center Infrastructure',\n",
              "       'Data Centers', 'Data Integration', 'Data Mining', 'Data Privacy',\n",
              "       'Data Security', 'Data Visualization', 'Databases',\n",
              "       'Debt Collecting', 'Defense', 'Delivery', 'Demographies', 'Dental',\n",
              "       'Design', 'Designers', 'Developer APIs', 'Developer Tools',\n",
              "       'Development Platforms', 'Diabetes', 'Diagnostics',\n",
              "       'Dietary Supplements', 'Digital Entertainment', 'Digital Media',\n",
              "       'Digital Rights Management', 'Digital Signage',\n",
              "       'Direct Advertising', 'Direct Marketing', 'Direct Sales',\n",
              "       'Discounts', 'Displays', 'Disruptive Models', 'Distribution',\n",
              "       'Distributors', 'DIY', 'Doctors', 'Document Management',\n",
              "       'DOD/Military', 'Domains', 'Drones', 'E-Books', 'E-Commerce',\n",
              "       'E-Commerce Platforms', 'Early-Stage Technology', 'EBooks',\n",
              "       'EDA Tools', 'Ediscovery', 'EdTech', 'Education',\n",
              "       'Educational Games', 'Edutainment', 'Elder Care',\n",
              "       'Electric Vehicles', 'Electrical Distribution',\n",
              "       'Electronic Health Records', 'Electronics', 'Email',\n",
              "       'Email Marketing', 'Email Newsletters',\n",
              "       'Embedded Hardware and Software', 'Emerging Markets',\n",
              "       'Employer Benefits Programs', 'Employment', 'Energy',\n",
              "       'Energy Efficiency', 'Energy IT', 'Energy Management',\n",
              "       'Energy Storage', 'Engineering Firms', 'Enterprise 2.na',\n",
              "       'Enterprise Application', 'Enterprise Purchasing',\n",
              "       'Enterprise Resource Planning', 'Enterprise Search',\n",
              "       'Enterprise Security', 'Enterprise Software', 'Enterprises',\n",
              "       'Entertainment', 'Entertainment Industry', 'Entrepreneur',\n",
              "       'Environmental Innovation', 'Estimation and Quoting',\n",
              "       'Event Management', 'Events', 'Exercise', 'Eyewear',\n",
              "       'Face Recognition', 'Facebook Applications', 'Families',\n",
              "       'Fantasy Sports', 'Farmers Market', 'Farming', 'Fashion',\n",
              "       'Fertility', 'Field Support Services', 'File Sharing', 'Film',\n",
              "       'Film Distribution', 'Film Production', 'Finance',\n",
              "       'Finance Technology', 'Financial Exchanges', 'Financial Services',\n",
              "       'FinTech', 'Fitness', 'Flash Sales', 'Flash Storage',\n",
              "       'Fleet Management', 'Flowers', 'Fmcg', 'Food Processing', 'Forums',\n",
              "       'Fraud Detection', 'Freelancers', 'Freemium', 'FreetoPlay Gaming',\n",
              "       'Fruit', 'Fuel Cells', 'Fuels', 'Funeral Industry', 'Furniture',\n",
              "       'Gadget', 'Gambling', 'Game', 'Game Mechanics', 'Games',\n",
              "       'Gamification', 'Gas', 'Gay & Lesbian', 'General Public Worldwide',\n",
              "       'Genetic Testing', 'Geospatial', 'Gift Card', 'Gift Exchange',\n",
              "       'Gift Registries', 'Gold', 'Governance', 'Government Innovation',\n",
              "       'Governments', 'Gps', 'Graphics', 'Green', 'Green Consumer Goods',\n",
              "       'Groceries', 'Group Buying', 'Group SMS', 'Guides', 'Handmade',\n",
              "       'Hardware', 'Hardware + Software', 'Health and Insurance',\n",
              "       'Health and Wellness', 'Health Care',\n",
              "       'Health Care Information Technology', 'Health Diagnostics',\n",
              "       'Health Services Industry', 'Healthcare Services',\n",
              "       'Heavy Industry', 'Hedge Funds', 'High School Students',\n",
              "       'High Schools', 'High Tech', 'Home & Garden', 'Home Automation',\n",
              "       'Home Decor', 'Home Owners', 'Home Renovation',\n",
              "       'Homeland Security', 'Homeless Shelter', 'Hospitality',\n",
              "       'Hospitals', 'Hotels', 'Human Computer Interaction',\n",
              "       'Human Resource Automation', 'Human Resources', 'Humanitarian',\n",
              "       'IaaS', 'ICT', 'Identity', 'Identity Management',\n",
              "       'Image Recognition', 'Impact Investing', 'In-Flight Entertainment',\n",
              "       'Incentives', 'Incubators', 'Independent Music Labels',\n",
              "       'Independent Pharmacies', 'Indians', 'Indoor Positioning',\n",
              "       'Industrial', 'Industrial Automation', 'Information Security',\n",
              "       'Information Services', 'Information Technology', 'Infrastructure',\n",
              "       'Innovation Engineering', 'Innovation Management', 'Insurance',\n",
              "       'Intellectual Asset Management', 'Intellectual Property',\n",
              "       'Intelligent Systems', 'Interest Graph', 'Interface Design',\n",
              "       'Interior Design', 'Internet', 'Internet Infrastructure',\n",
              "       'Internet Marketing', 'Internet of Things',\n",
              "       'Internet Radio Market', 'Internet Service Providers',\n",
              "       'Investment Management', 'iOS', 'iPad', 'iPhone',\n",
              "       'IT and Cybersecurity', 'IT Management', 'Jewelry', 'Journalism',\n",
              "       'K-12 Education', 'Kids', 'Knowledge Management', 'Landscaping',\n",
              "       'Language Learning', 'Lasers', 'Law Enforcement',\n",
              "       'Lead Generation', 'Lead Management', 'Legal', 'Leisure',\n",
              "       'Licensing', 'Life Sciences', 'Lifestyle', 'Lifestyle Businesses',\n",
              "       'Lifestyle Products', 'Lighting', 'Limousines', 'Linux', 'Local',\n",
              "       'Local Advertising', 'Local Based Services', 'Local Businesses',\n",
              "       'Local Commerce', 'Local Search', 'Location Based Services',\n",
              "       'Logistics', 'Logistics Company', 'Lotteries', 'Low Bid Auctions',\n",
              "       'Loyalty Programs', 'M2M', 'Machine Learning', 'Manufacturing',\n",
              "       'Maps', 'Market Research', 'Marketing Automation', 'Marketplaces',\n",
              "       'Mass Customization', 'Match-Making', 'Material Science',\n",
              "       'Mechanical Solutions', 'Media', 'Medical', 'Medical Devices',\n",
              "       'Medical Professionals', 'Meeting Software', 'Mens Specific',\n",
              "       'Messaging', 'mHealth', 'Micro-Enterprises', 'MicroBlogging',\n",
              "       'Minerals', 'Mining Technologies', 'Mobile', 'Mobile Advertising',\n",
              "       'Mobile Analytics', 'Mobile Commerce', 'Mobile Devices',\n",
              "       'Mobile Enterprise', 'Mobile Games', 'Mobile Health',\n",
              "       'Mobile Infrastructure', 'Mobile Payments', 'Mobile Security',\n",
              "       'Mobile Shopping', 'Mobile Social', 'Mobile Software Tools',\n",
              "       'Mobile Video', 'Mobility', 'Monetization', 'Moneymaking',\n",
              "       'Multi-level Marketing', 'Music', 'Music Education',\n",
              "       'Music Services', 'Music Venues', 'Musical Instruments',\n",
              "       'Musicians', 'nanotechnology', 'natural Language Processing',\n",
              "       'natural Resources', 'navigation', 'Network Security',\n",
              "       'Networking', 'Neuroscience', 'New Product Development',\n",
              "       'New Technologies', 'News', 'Non-Tech', 'Non Profit', 'Nonprofits',\n",
              "       'Nutrition', 'Office Space', 'Oil', 'Oil & Gas', 'Oil and Gas',\n",
              "       'Online Dating', 'Online Education', 'Online Gaming',\n",
              "       'Online Identity', 'Online Rental', 'Online Reservations',\n",
              "       'Online Scheduling', 'Online Shopping', 'Online Travel',\n",
              "       'Online Video Advertising', 'Open Source', 'Opinions',\n",
              "       'Optical Communications', 'Optimization', 'Organic',\n",
              "       'Organic Food', 'Outdoors', 'Outsourcing', 'P2P Money Transfer',\n",
              "       'PaaS', 'Parenting', 'Parking', 'Payments', 'Peer-to-Peer',\n",
              "       'Performance Marketing', 'Personal Branding', 'Personal Data',\n",
              "       'Personal Finance', 'Personal Health', 'Personalization',\n",
              "       'Pervasive Computing', 'Pets', 'Pharmaceuticals', 'Photo Editing',\n",
              "       'Photo Sharing', 'Photography', 'Physical Security', 'Physicians',\n",
              "       'Plumbers', 'Point of Sale', 'Politics', 'Polling', 'Portals',\n",
              "       'Postal and Courier Services', 'Pre Seed', 'Predictive Analytics',\n",
              "       'Presentations', 'Price Comparison', 'Printing', 'Privacy',\n",
              "       'Private School', 'Private Social Networking', 'Procurement',\n",
              "       'Product Design', 'Product Development Services', 'Productivity',\n",
              "       'Productivity Software', 'Professional Networking',\n",
              "       'Professional Services', 'Project Management', 'Promotional',\n",
              "       'Property Management', 'Public Relations', 'Public Safety',\n",
              "       'Public Transportation', 'Publishing', 'Q&A', 'QR Codes',\n",
              "       'Real Estate', 'Real Time', 'Realtors', 'Recreation', 'Recruiting',\n",
              "       'Recycling', 'Religion', 'Renewable Energies', 'Renewable Tech',\n",
              "       'Rental Housing', 'Reputation', 'Resorts', 'Restaurants', 'Retail',\n",
              "       'Retail Technology', 'Reviews and Recommendations', 'RFID',\n",
              "       'Ride Sharing', 'Risk Management', 'Robotics', 'SaaS',\n",
              "       'Sales and Marketing', 'Sales Automation', 'Search',\n",
              "       'Search Marketing', 'Security',\n",
              "       'Semiconductor Manufacturing Equipment', 'Semiconductors',\n",
              "       'Senior Citizens', 'Senior Health', 'Sensors', 'SEO',\n",
              "       'Service Industries', 'Service Providers', 'Services', 'SexTech',\n",
              "       'Shared Services', 'Shipping', 'Shoes', 'Shopping', 'Simulation',\n",
              "       'Skill Assessment', 'Small and Medium Businesses', 'Smart Grid',\n",
              "       'SNS', 'Soccer', 'Social + Mobile + Local', 'Social Bookmarking',\n",
              "       'Social Business', 'Social Buying', 'Social Commerce',\n",
              "       'Social CRM', 'Social Fundraising', 'Social Games', 'Social Media',\n",
              "       'Social Media Management', 'Social Media Marketing',\n",
              "       'Social Media Platforms', 'Social Network Media', 'Social News',\n",
              "       'Social Recruiting', 'Social Television', 'Social Travel',\n",
              "       'Software', 'Solar', 'Space Travel', 'Specialty Chemicals',\n",
              "       'Specialty Foods', 'Speech Recognition', 'Sporting Goods',\n",
              "       'Sports', 'Staffing Firms', 'Startups', 'Stock Exchanges',\n",
              "       'Storage', 'Subscription Service', 'Supply Chain Management',\n",
              "       'Surveys', 'Synchronization', 'Systems', 'Task Management',\n",
              "       'Taxis', 'Tea', 'Technology', 'Telecommunications', 'Television',\n",
              "       'Textiles', 'Theatre', 'Therapeutics', 'Ticketing', 'Tourism',\n",
              "       'Tracking', 'Trading', 'Training', 'Translation', 'Transportation',\n",
              "       'Travel', 'Travel & Tourism', 'Universities',\n",
              "       'University Students', 'Unmanned Air Systems', 'Usability',\n",
              "       'User Experience Design', 'User Interface', 'Utilities',\n",
              "       'Vending and Concessions', 'Venture Capital', 'Veterinary',\n",
              "       'Video', 'Video Conferencing', 'Video Games', 'Video on Demand',\n",
              "       'Video Streaming', 'Virtual Workforces', 'VoIP',\n",
              "       'Waste Management', 'Watch', 'Water', 'Water Purification',\n",
              "       'Wearables', 'Web Browsers', 'Web Design', 'Web Development',\n",
              "       'Web Hosting', 'Web Tools', 'Weddings', 'Wholesale',\n",
              "       'Wine And Spirits', 'Wireless', 'Women', 'Young Adults'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 163
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tCs7mpnd-97N"
      },
      "source": [
        "Lower the case"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IXxl7BzC_I0z",
        "outputId": "5ae9e809-42c3-4368-9b57-d1fe36671271"
      },
      "source": [
        "mapping[\"category_list\"] = mapping.category_list.str.replace(\"0\",\"na\").str.lower()\n",
        "# .str.replace(\" \",\"_\")"
      ],
      "execution_count": 164,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-S4ZkxqU_5iv"
      },
      "source": [
        "Taking first category for multiple categories\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DHESVGfn_50o"
      },
      "source": [
        "master_frame[\"category\"] = master_frame.category_list.str.split('|').str[0].str.lower()\n",
        "# .str.replace(\" \",\"_\")"
      ],
      "execution_count": 165,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S0w4KxjqSPlH"
      },
      "source": [
        "Verify, no new NAs added during transformation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "utdenueERrhf",
        "outputId": "429a55b6-13db-4254-afb9-8bf597635457"
      },
      "source": [
        "master_frame.category_list.isna().sum()"
      ],
      "execution_count": 166,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3414"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 166
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wQzsBNgfRye0",
        "outputId": "9a4137a0-a4b7-4c69-fdd1-e2212377241b"
      },
      "source": [
        "master_frame[\"category\"].isna().sum()"
      ],
      "execution_count": 167,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3414"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 167
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ksz7FyKXROR1"
      },
      "source": [
        "Let check if there are categories not present in either tables"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sj7Kgfe3RPFc",
        "outputId": "a0730666-1a1d-4282-a625-c9b3c3088caa"
      },
      "source": [
        "set(master_frame[\"category\"]).difference(set(mapping[\"category_list\"]))\n"
      ],
      "execution_count": 168,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'adaptive equipment',\n",
              " 'biotechnology and semiconductor',\n",
              " 'cause marketing',\n",
              " 'darknet',\n",
              " 'deep information technology',\n",
              " 'english-speaking',\n",
              " 'enterprise 2.0',\n",
              " 'enterprise hardware',\n",
              " 'experience design',\n",
              " 'generation y-z',\n",
              " 'golf equipment',\n",
              " 'google glass',\n",
              " 'greentech',\n",
              " 'group email',\n",
              " 'infrastructure builders',\n",
              " 'internet technology',\n",
              " 'internet tv',\n",
              " 'kinect',\n",
              " 'lingerie',\n",
              " 'mobile emergency&health',\n",
              " nan,\n",
              " 'natural gas uses',\n",
              " 'nightlife',\n",
              " 'product search',\n",
              " 'psychology',\n",
              " 'racing',\n",
              " 'rapidly expanding',\n",
              " 'real estate investors',\n",
              " 'registrars',\n",
              " 'retirement',\n",
              " 'self development',\n",
              " 'sex industry',\n",
              " 'skill gaming',\n",
              " 'social media advertising',\n",
              " 'spas',\n",
              " 'specialty retail',\n",
              " 'sponsorship',\n",
              " 'subscription businesses',\n",
              " 'swimming',\n",
              " 'testing',\n",
              " 'toys',\n",
              " 'tutoring',\n",
              " 'vacation rentals'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 168
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "INmyMPSzu5y7"
      },
      "source": [
        "We could have considered other categories present in pipe separated format as well instead of taking just the first one as primary."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QHw5Ir40RWzh",
        "outputId": "38a488b1-5f5b-4ac1-e9be-3c6be03e1595"
      },
      "source": [
        "set(mapping[\"category_list\"]).difference(set(master_frame[\"category\"]))\n"
      ],
      "execution_count": 169,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'enterprise 2.na'}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 169
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C-gpHcaOT491"
      },
      "source": [
        "Manually fixing this single category"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wRg_wRIcTqXR",
        "outputId": "fbf1d760-d275-425a-ba67-823715c29a17"
      },
      "source": [
        "mapping[\"category_list\"] = mapping.category_list.str.replace(\"enterprise 2.na\",\"enterprise 2.0\")\n",
        "set(mapping[\"category_list\"]).difference(set(master_frame[\"category\"]))"
      ],
      "execution_count": 170,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "set()"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 170
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 609
        },
        "id": "_6uuoPBLTPdE",
        "outputId": "c5d92833-4ab2-4ace-d757-54da86612dae"
      },
      "source": [
        "master_frame_unref = master_frame[~master_frame.category.isin(mapping.category_list)]\n",
        "master_frame_unref"
      ],
      "execution_count": 171,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>permalink</th>\n",
              "      <th>name</th>\n",
              "      <th>homepage_url</th>\n",
              "      <th>category_list</th>\n",
              "      <th>status</th>\n",
              "      <th>country_code</th>\n",
              "      <th>state_code</th>\n",
              "      <th>region</th>\n",
              "      <th>city</th>\n",
              "      <th>founded_at</th>\n",
              "      <th>company_permalink</th>\n",
              "      <th>funding_round_permalink</th>\n",
              "      <th>funding_round_type</th>\n",
              "      <th>funding_round_code</th>\n",
              "      <th>funded_at</th>\n",
              "      <th>raised_amount_usd</th>\n",
              "      <th>category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>/organization/123feng-com</td>\n",
              "      <td>123Feng.Com</td>\n",
              "      <td>http://123feng.com/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>CHN</td>\n",
              "      <td>2</td>\n",
              "      <td>Hangzhou</td>\n",
              "      <td>Hangzhou</td>\n",
              "      <td>01-01-2014</td>\n",
              "      <td>/organization/123feng-com</td>\n",
              "      <td>/funding-round/9d83084d87dc63a309c9a6fe9bf59d1b</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>27-10-2015</td>\n",
              "      <td>13,000,000.00</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>123</th>\n",
              "      <td>/organization/15fen</td>\n",
              "      <td>15Fen</td>\n",
              "      <td>http://www.15fen.com/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>CHN</td>\n",
              "      <td>30</td>\n",
              "      <td>Guangzhou</td>\n",
              "      <td>Guangzhou</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/15fen</td>\n",
              "      <td>/funding-round/b660e2c345e5cda7db2f1e0176a450b3</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15-12-2013</td>\n",
              "      <td>nan</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>133</th>\n",
              "      <td>/organization/17-media</td>\n",
              "      <td>17 Media</td>\n",
              "      <td>http://17.media</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>15-07-2015</td>\n",
              "      <td>/organization/17-media</td>\n",
              "      <td>/funding-round/f8ffde9fa822843ac6ea9b66cc615df1</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>05-11-2015</td>\n",
              "      <td>10,000,000.00</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>181</th>\n",
              "      <td>/organization/1mxians</td>\n",
              "      <td>1mxians</td>\n",
              "      <td>http://www.1mxian.com/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>CHN</td>\n",
              "      <td>22</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>01-01-2014</td>\n",
              "      <td>/organization/1mxians</td>\n",
              "      <td>/funding-round/6950448f81c6706abe61f659e15a7c87</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>02-12-2015</td>\n",
              "      <td>15,000,000.00</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>/organization/1rp-media</td>\n",
              "      <td>1RP Media</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>Los Angeles</td>\n",
              "      <td>Los Angeles</td>\n",
              "      <td>01-01-2011</td>\n",
              "      <td>/organization/1rp-media</td>\n",
              "      <td>/funding-round/f7400a94939ef73f70af0c52b54b31ce</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>29-06-2012</td>\n",
              "      <td>nan</td>\n",
              "      <td>NaN</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114450</th>\n",
              "      <td>/organization/zkey-com</td>\n",
              "      <td>Zkey.com</td>\n",
              "      <td>http://zkey.com/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>closed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/zkey-com</td>\n",
              "      <td>/funding-round/aca95e6dda1b354ebee80bca5f261607</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>22-11-1999</td>\n",
              "      <td>10,000,000.00</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114453</th>\n",
              "      <td>/organization/zlango</td>\n",
              "      <td>Zlango</td>\n",
              "      <td>http://www.zlango.com</td>\n",
              "      <td>NaN</td>\n",
              "      <td>closed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/zlango</td>\n",
              "      <td>/funding-round/203baf1c533923de0bc50699a12f447e</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>12-02-2007</td>\n",
              "      <td>12,000,000.00</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114458</th>\n",
              "      <td>/organization/zlote-mysli</td>\n",
              "      <td>Zlote Mysli</td>\n",
              "      <td>http://www.zlotemysli.pl/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/zlote-mysli</td>\n",
              "      <td>/funding-round/0787484a3d22104c752fe8a96d57abe4</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>01-01-2009</td>\n",
              "      <td>nan</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114806</th>\n",
              "      <td>/organization/zuoyebang</td>\n",
              "      <td>Zuoyebang</td>\n",
              "      <td>http://zuoye.baidu.com/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/zuoyebang</td>\n",
              "      <td>/funding-round/720cfd18d9f4804df5cf722ca8116ec8</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>03-09-2015</td>\n",
              "      <td>nan</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114946</th>\n",
              "      <td>/organization/ãeron</td>\n",
              "      <td>ÃERON</td>\n",
              "      <td>http://www.aeron.hu/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-01-2011</td>\n",
              "      <td>/organization/ãeron</td>\n",
              "      <td>/funding-round/59f4dce44723b794f21ded3daed6e4fe</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>01-08-2014</td>\n",
              "      <td>nan</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3493 rows × 17 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                        permalink         name  ... raised_amount_usd category\n",
              "99      /organization/123feng-com  123Feng.Com  ...     13,000,000.00      NaN\n",
              "123           /organization/15fen        15Fen  ...               nan      NaN\n",
              "133        /organization/17-media     17 Media  ...     10,000,000.00      NaN\n",
              "181         /organization/1mxians      1mxians  ...     15,000,000.00      NaN\n",
              "185       /organization/1rp-media    1RP Media  ...               nan      NaN\n",
              "...                           ...          ...  ...               ...      ...\n",
              "114450     /organization/zkey-com     Zkey.com  ...     10,000,000.00      NaN\n",
              "114453       /organization/zlango       Zlango  ...     12,000,000.00      NaN\n",
              "114458  /organization/zlote-mysli  Zlote Mysli  ...               nan      NaN\n",
              "114806    /organization/zuoyebang    Zuoyebang  ...               nan      NaN\n",
              "114946       /organization/ãeron       ÃERON  ...               nan      NaN\n",
              "\n",
              "[3493 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 171
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a4EnBL9xTEfG"
      },
      "source": [
        "3493 rows will have no categories mapped, being around 3% of total, lets ignore them for time being.\n",
        "\n",
        "\n",
        "Merging mapping column into master_frame."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "yFSBPbe_TKyE",
        "outputId": "82715d33-0108-451c-99ae-d50f302c8f64"
      },
      "source": [
        "master_frame = pd.merge(master_frame, mapping[[\"category_list\",\"category\"]], how='left', left_on='category', right_on='category_list') ##, on=['permalink', 'company_permalink'])\n",
        "master_frame.drop(\"category_list_y\",axis=1, inplace=True)\n",
        "master_frame.rename(columns={'category_x': 'primary_sector', 'category_y': 'main_sector'}, inplace=True)\n",
        "master_frame"
      ],
      "execution_count": 172,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>permalink</th>\n",
              "      <th>name</th>\n",
              "      <th>homepage_url</th>\n",
              "      <th>category_list_x</th>\n",
              "      <th>status</th>\n",
              "      <th>country_code</th>\n",
              "      <th>state_code</th>\n",
              "      <th>region</th>\n",
              "      <th>city</th>\n",
              "      <th>founded_at</th>\n",
              "      <th>company_permalink</th>\n",
              "      <th>funding_round_permalink</th>\n",
              "      <th>funding_round_type</th>\n",
              "      <th>funding_round_code</th>\n",
              "      <th>funded_at</th>\n",
              "      <th>raised_amount_usd</th>\n",
              "      <th>primary_sector</th>\n",
              "      <th>main_sector</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>#fame</td>\n",
              "      <td>http://livfame.com</td>\n",
              "      <td>Media</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>16</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>/funding-round/9a01d05418af9f794eebff7ace91f638</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>05-01-2015</td>\n",
              "      <td>10,000,000.00</td>\n",
              "      <td>media</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>:Qounter</td>\n",
              "      <td>http://www.qounter.com</td>\n",
              "      <td>Application Platforms|Real Time|Social Network...</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>DE</td>\n",
              "      <td>DE - Other</td>\n",
              "      <td>Delaware City</td>\n",
              "      <td>04-09-2014</td>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>/funding-round/22dacff496eb7acb2b901dec1dfe5633</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>14-10-2014</td>\n",
              "      <td>nan</td>\n",
              "      <td>application platforms</td>\n",
              "      <td>News, Search and Messaging</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>:Qounter</td>\n",
              "      <td>http://www.qounter.com</td>\n",
              "      <td>Application Platforms|Real Time|Social Network...</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>DE</td>\n",
              "      <td>DE - Other</td>\n",
              "      <td>Delaware City</td>\n",
              "      <td>04-09-2014</td>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>/funding-round/b44fbb94153f6cdef13083530bb48030</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-03-2014</td>\n",
              "      <td>700,000.00</td>\n",
              "      <td>application platforms</td>\n",
              "      <td>News, Search and Messaging</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>/organization/-the-one-of-them-inc-</td>\n",
              "      <td>(THE) ONE of THEM,Inc.</td>\n",
              "      <td>http://oneofthem.jp</td>\n",
              "      <td>Apps|Games|Mobile</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/-the-one-of-them-inc-</td>\n",
              "      <td>/funding-round/650b8f704416801069bb178a1418776b</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>30-01-2014</td>\n",
              "      <td>3,406,878.00</td>\n",
              "      <td>apps</td>\n",
              "      <td>News, Search and Messaging</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>/organization/0-6-com</td>\n",
              "      <td>0-6.com</td>\n",
              "      <td>http://www.0-6.com</td>\n",
              "      <td>Curated Web</td>\n",
              "      <td>operating</td>\n",
              "      <td>CHN</td>\n",
              "      <td>22</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>01-01-2007</td>\n",
              "      <td>/organization/0-6-com</td>\n",
              "      <td>/funding-round/5727accaeaa57461bd22a9bdd945382d</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>19-03-2008</td>\n",
              "      <td>2,000,000.00</td>\n",
              "      <td>curated web</td>\n",
              "      <td>News, Search and Messaging</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114944</th>\n",
              "      <td>/organization/zzzzapp-com</td>\n",
              "      <td>Zzzzapp Wireless ltd.</td>\n",
              "      <td>http://www.zzzzapp.com</td>\n",
              "      <td>Advertising|Mobile|Web Development|Wireless</td>\n",
              "      <td>operating</td>\n",
              "      <td>HRV</td>\n",
              "      <td>15</td>\n",
              "      <td>Split</td>\n",
              "      <td>Split</td>\n",
              "      <td>13-05-2012</td>\n",
              "      <td>/organization/zzzzapp-com</td>\n",
              "      <td>/funding-round/8f6d25b8ee4199e586484d817bceda05</td>\n",
              "      <td>convertible_note</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-03-2014</td>\n",
              "      <td>41,313.00</td>\n",
              "      <td>advertising</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114945</th>\n",
              "      <td>/organization/zzzzapp-com</td>\n",
              "      <td>Zzzzapp Wireless ltd.</td>\n",
              "      <td>http://www.zzzzapp.com</td>\n",
              "      <td>Advertising|Mobile|Web Development|Wireless</td>\n",
              "      <td>operating</td>\n",
              "      <td>HRV</td>\n",
              "      <td>15</td>\n",
              "      <td>Split</td>\n",
              "      <td>Split</td>\n",
              "      <td>13-05-2012</td>\n",
              "      <td>/organization/zzzzapp-com</td>\n",
              "      <td>/funding-round/ff1aa06ed5da186c84f101549035d4ae</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-05-2013</td>\n",
              "      <td>32,842.00</td>\n",
              "      <td>advertising</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114946</th>\n",
              "      <td>/organization/ãeron</td>\n",
              "      <td>ÃERON</td>\n",
              "      <td>http://www.aeron.hu/</td>\n",
              "      <td>NaN</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-01-2011</td>\n",
              "      <td>/organization/ãeron</td>\n",
              "      <td>/funding-round/59f4dce44723b794f21ded3daed6e4fe</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>01-08-2014</td>\n",
              "      <td>nan</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114947</th>\n",
              "      <td>/organization/ãasys-2</td>\n",
              "      <td>Ãasys</td>\n",
              "      <td>http://www.oasys.io/</td>\n",
              "      <td>Consumer Electronics|Internet of Things|Teleco...</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>San Francisco</td>\n",
              "      <td>01-01-2014</td>\n",
              "      <td>/organization/ãasys-2</td>\n",
              "      <td>/funding-round/35f09d0794651719b02bbfd859ba9ff5</td>\n",
              "      <td>seed</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-01-2015</td>\n",
              "      <td>18,192.00</td>\n",
              "      <td>consumer electronics</td>\n",
              "      <td>Manufacturing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114948</th>\n",
              "      <td>/organization/ä°novatiff-reklam-ve-tanä±tä±m-h...</td>\n",
              "      <td>Ä°novatiff Reklam ve TanÄ±tÄ±m Hizmetleri Tic</td>\n",
              "      <td>http://inovatiff.com</td>\n",
              "      <td>Consumer Goods|E-Commerce|Internet</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/ä°novatiff-reklam-ve-tanä±tä±m-h...</td>\n",
              "      <td>/funding-round/af942869878d2cd788ef5189b435ebc4</td>\n",
              "      <td>grant</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-10-2013</td>\n",
              "      <td>14,851.00</td>\n",
              "      <td>consumer goods</td>\n",
              "      <td>Manufacturing</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>114949 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                permalink  ...                              main_sector\n",
              "0                                     /organization/-fame  ...                            Entertainment\n",
              "1                                  /organization/-qounter  ...               News, Search and Messaging\n",
              "2                                  /organization/-qounter  ...               News, Search and Messaging\n",
              "3                     /organization/-the-one-of-them-inc-  ...               News, Search and Messaging\n",
              "4                                   /organization/0-6-com  ...               News, Search and Messaging\n",
              "...                                                   ...  ...                                      ...\n",
              "114944                          /organization/zzzzapp-com  ...  Social, Finance, Analytics, Advertising\n",
              "114945                          /organization/zzzzapp-com  ...  Social, Finance, Analytics, Advertising\n",
              "114946                               /organization/ãeron  ...                                      NaN\n",
              "114947                             /organization/ãasys-2  ...                            Manufacturing\n",
              "114948  /organization/ä°novatiff-reklam-ve-tanä±tä±m-h...  ...                            Manufacturing\n",
              "\n",
              "[114949 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 172
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Fc8VKfrAU3xn",
        "outputId": "85b6cef5-67b7-4fc2-f471-bf4a7041cccc"
      },
      "source": [
        "round(100*master_frame.isna().sum()/len(master_frame.index))"
      ],
      "execution_count": 173,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "permalink                  0.00\n",
              "name                       0.00\n",
              "homepage_url               5.00\n",
              "category_list_x            3.00\n",
              "status                     0.00\n",
              "country_code               8.00\n",
              "state_code                10.00\n",
              "region                     9.00\n",
              "city                       9.00\n",
              "founded_at                18.00\n",
              "company_permalink          0.00\n",
              "funding_round_permalink    0.00\n",
              "funding_round_type         0.00\n",
              "funding_round_code        73.00\n",
              "funded_at                  0.00\n",
              "raised_amount_usd         17.00\n",
              "primary_sector             3.00\n",
              "main_sector                3.00\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 173
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_g0LuCGVVCss"
      },
      "source": [
        "A lot of NAs.\n",
        "\n",
        "Lets impute raised_amount_usd by the median of venture funding ie. 5M USD. Ignoring this column will filter rows and impact counts and hence our analysis. Also, more precise country/sector specific model-based imputing is not required. \n",
        "\n",
        "Other columns with NAs are as such not required for analysis, hence ignoring them.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vI1EG7OFRfXc",
        "outputId": "e54ddff8-705b-4406-fc3e-0affa42a1dd1"
      },
      "source": [
        "master_frame.fillna({\"raised_amount_usd\":venture_median}, inplace = True) # venture_median is 5M which is venture funding median\n",
        "round(100*master_frame.isna().sum()/len(master_frame.index))"
      ],
      "execution_count": 174,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "permalink                  0.00\n",
              "name                       0.00\n",
              "homepage_url               5.00\n",
              "category_list_x            3.00\n",
              "status                     0.00\n",
              "country_code               8.00\n",
              "state_code                10.00\n",
              "region                     9.00\n",
              "city                       9.00\n",
              "founded_at                18.00\n",
              "company_permalink          0.00\n",
              "funding_round_permalink    0.00\n",
              "funding_round_type         0.00\n",
              "funding_round_code        73.00\n",
              "funded_at                  0.00\n",
              "raised_amount_usd          0.00\n",
              "primary_sector             3.00\n",
              "main_sector                3.00\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 174
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZT3DPg8bRZC5"
      },
      "source": [
        "Applying relevant filters for sector wise queries. This will remove NAs in country code (8%) as well."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 643
        },
        "id": "khOw9pXHU4OP",
        "outputId": "8e085a84-a637-4aed-8464-7d1fe4b1bfcb"
      },
      "source": [
        "# d13 = master_frame[[\"country_code\",\"funding_round_type\",\"raised_amount_usd\",\"main_sector\"]] [ \n",
        "d13 = master_frame[ \n",
        "(master_frame[\"country_code\"].isin([\"USA\",\"GBR\",\"IND\"])) & \n",
        "(master_frame[\"funding_round_type\"]==\"venture\") &\n",
        "(master_frame[\"raised_amount_usd\"] >= 5000000 ) &\n",
        "(master_frame[\"raised_amount_usd\"] <= 15000000 ) \n",
        "]\n",
        "d13"
      ],
      "execution_count": 175,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>permalink</th>\n",
              "      <th>name</th>\n",
              "      <th>homepage_url</th>\n",
              "      <th>category_list_x</th>\n",
              "      <th>status</th>\n",
              "      <th>country_code</th>\n",
              "      <th>state_code</th>\n",
              "      <th>region</th>\n",
              "      <th>city</th>\n",
              "      <th>founded_at</th>\n",
              "      <th>company_permalink</th>\n",
              "      <th>funding_round_permalink</th>\n",
              "      <th>funding_round_type</th>\n",
              "      <th>funding_round_code</th>\n",
              "      <th>funded_at</th>\n",
              "      <th>raised_amount_usd</th>\n",
              "      <th>primary_sector</th>\n",
              "      <th>main_sector</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>#fame</td>\n",
              "      <td>http://livfame.com</td>\n",
              "      <td>Media</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>16</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>/funding-round/9a01d05418af9f794eebff7ace91f638</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>05-01-2015</td>\n",
              "      <td>10,000,000.00</td>\n",
              "      <td>media</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>:Qounter</td>\n",
              "      <td>http://www.qounter.com</td>\n",
              "      <td>Application Platforms|Real Time|Social Network...</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>DE</td>\n",
              "      <td>DE - Other</td>\n",
              "      <td>Delaware City</td>\n",
              "      <td>04-09-2014</td>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>/funding-round/22dacff496eb7acb2b901dec1dfe5633</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>14-10-2014</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>application platforms</td>\n",
              "      <td>News, Search and Messaging</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>/organization/004-technologies</td>\n",
              "      <td>004 Technologies</td>\n",
              "      <td>http://004gmbh.de/en/004-interact</td>\n",
              "      <td>Software</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>IL</td>\n",
              "      <td>Springfield, Illinois</td>\n",
              "      <td>Champaign</td>\n",
              "      <td>01-01-2010</td>\n",
              "      <td>/organization/004-technologies</td>\n",
              "      <td>/funding-round/1278dd4e6a37fa4b7d7e06c21b3c1830</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24-07-2014</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>software</td>\n",
              "      <td>Others</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>/organization/0xdata</td>\n",
              "      <td>H2O.ai</td>\n",
              "      <td>http://h2o.ai/</td>\n",
              "      <td>Analytics</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>Mountain View</td>\n",
              "      <td>01-01-2011</td>\n",
              "      <td>/organization/0xdata</td>\n",
              "      <td>/funding-round/e1cfcbe1bdf4c70277c5f29a3482f24e</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>19-07-2014</td>\n",
              "      <td>8,900,000.00</td>\n",
              "      <td>analytics</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>/organization/1-mainstream</td>\n",
              "      <td>1 Mainstream</td>\n",
              "      <td>http://www.1mainstream.com</td>\n",
              "      <td>Apps|Cable|Distribution|Software</td>\n",
              "      <td>acquired</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>Cupertino</td>\n",
              "      <td>01-03-2012</td>\n",
              "      <td>/organization/1-mainstream</td>\n",
              "      <td>/funding-round/b952cbaf401f310927430c97b68162ea</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>17-03-2015</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>apps</td>\n",
              "      <td>News, Search and Messaging</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114914</th>\n",
              "      <td>/organization/zynga</td>\n",
              "      <td>Zynga</td>\n",
              "      <td>http://www.zynga.com</td>\n",
              "      <td>Facebook Applications|Games|Networking|Technology</td>\n",
              "      <td>ipo</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>San Francisco</td>\n",
              "      <td>01-07-2007</td>\n",
              "      <td>/organization/zynga</td>\n",
              "      <td>/funding-round/eb198261da812bc8d3bf475ccec44000</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>12-02-2008</td>\n",
              "      <td>5,026,000.00</td>\n",
              "      <td>facebook applications</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114916</th>\n",
              "      <td>/organization/zynstra</td>\n",
              "      <td>Zynstra</td>\n",
              "      <td>http://www.zynstra.com</td>\n",
              "      <td>Software</td>\n",
              "      <td>operating</td>\n",
              "      <td>GBR</td>\n",
              "      <td>A4</td>\n",
              "      <td>Bath</td>\n",
              "      <td>Bath</td>\n",
              "      <td>30-11-2011</td>\n",
              "      <td>/organization/zynstra</td>\n",
              "      <td>/funding-round/05f43b37c270f5919578281ce803de8f</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>09-07-2014</td>\n",
              "      <td>8,400,000.00</td>\n",
              "      <td>software</td>\n",
              "      <td>Others</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114920</th>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>ZYOMYX</td>\n",
              "      <td>http://www.zyomyx.com</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>MO</td>\n",
              "      <td>MO - Other</td>\n",
              "      <td>Fremont</td>\n",
              "      <td>01-01-1998</td>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>/funding-round/4191cb5258d3863b0212d1083881da64</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>30-06-2013</td>\n",
              "      <td>12,000,000.00</td>\n",
              "      <td>biotechnology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114922</th>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>ZYOMYX</td>\n",
              "      <td>http://www.zyomyx.com</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>MO</td>\n",
              "      <td>MO - Other</td>\n",
              "      <td>Fremont</td>\n",
              "      <td>01-01-1998</td>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>/funding-round/b4fce7f8a13267353d57db09099800e8</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11-07-2013</td>\n",
              "      <td>14,219,999.00</td>\n",
              "      <td>biotechnology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114936</th>\n",
              "      <td>/organization/zystor</td>\n",
              "      <td>Zystor</td>\n",
              "      <td>http://www.zystor.com</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>acquired</td>\n",
              "      <td>USA</td>\n",
              "      <td>WI</td>\n",
              "      <td>Milwaukee</td>\n",
              "      <td>Milwaukee</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/zystor</td>\n",
              "      <td>/funding-round/7ea37c0ff4132b084832039a9380d34e</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>16-12-2004</td>\n",
              "      <td>8,500,000.00</td>\n",
              "      <td>biotechnology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>15757 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                             permalink  ...                              main_sector\n",
              "0                  /organization/-fame  ...                            Entertainment\n",
              "1               /organization/-qounter  ...               News, Search and Messaging\n",
              "5       /organization/004-technologies  ...                                   Others\n",
              "12                /organization/0xdata  ...  Social, Finance, Analytics, Advertising\n",
              "22          /organization/1-mainstream  ...               News, Search and Messaging\n",
              "...                                ...  ...                                      ...\n",
              "114914             /organization/zynga  ...  Social, Finance, Analytics, Advertising\n",
              "114916           /organization/zynstra  ...                                   Others\n",
              "114920        /organization/zyomyx-inc  ...               Cleantech / Semiconductors\n",
              "114922        /organization/zyomyx-inc  ...               Cleantech / Semiconductors\n",
              "114936            /organization/zystor  ...               Cleantech / Semiconductors\n",
              "\n",
              "[15757 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 175
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rkRK-4n8vkpT",
        "outputId": "5581956e-98ee-4ed2-f614-e16c2e0cd967"
      },
      "source": [
        "d13.isna().sum()"
      ],
      "execution_count": 176,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "permalink                     0\n",
              "name                          0\n",
              "homepage_url                730\n",
              "category_list_x             264\n",
              "status                        0\n",
              "country_code                  0\n",
              "state_code                   24\n",
              "region                       55\n",
              "city                         55\n",
              "founded_at                 2522\n",
              "company_permalink             0\n",
              "funding_round_permalink       0\n",
              "funding_round_type            0\n",
              "funding_round_code         5079\n",
              "funded_at                     0\n",
              "raised_amount_usd             0\n",
              "primary_sector              264\n",
              "main_sector                 265\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 176
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KPj94kEMyzUm"
      },
      "source": [
        "Now, lets analyse data with prominent NAs."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 626
        },
        "id": "kkqLhgh2ykTW",
        "outputId": "953c0047-103f-4702-a3ab-d50c86b6ecb2"
      },
      "source": [
        "d13[d13.isna().sum(axis=1)>0]"
      ],
      "execution_count": 178,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>permalink</th>\n",
              "      <th>name</th>\n",
              "      <th>homepage_url</th>\n",
              "      <th>category_list_x</th>\n",
              "      <th>status</th>\n",
              "      <th>country_code</th>\n",
              "      <th>state_code</th>\n",
              "      <th>region</th>\n",
              "      <th>city</th>\n",
              "      <th>founded_at</th>\n",
              "      <th>company_permalink</th>\n",
              "      <th>funding_round_permalink</th>\n",
              "      <th>funding_round_type</th>\n",
              "      <th>funding_round_code</th>\n",
              "      <th>funded_at</th>\n",
              "      <th>raised_amount_usd</th>\n",
              "      <th>primary_sector</th>\n",
              "      <th>main_sector</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>#fame</td>\n",
              "      <td>http://livfame.com</td>\n",
              "      <td>Media</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>16</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>/funding-round/9a01d05418af9f794eebff7ace91f638</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>05-01-2015</td>\n",
              "      <td>10,000,000.00</td>\n",
              "      <td>media</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>/organization/004-technologies</td>\n",
              "      <td>004 Technologies</td>\n",
              "      <td>http://004gmbh.de/en/004-interact</td>\n",
              "      <td>Software</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>IL</td>\n",
              "      <td>Springfield, Illinois</td>\n",
              "      <td>Champaign</td>\n",
              "      <td>01-01-2010</td>\n",
              "      <td>/organization/004-technologies</td>\n",
              "      <td>/funding-round/1278dd4e6a37fa4b7d7e06c21b3c1830</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24-07-2014</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>software</td>\n",
              "      <td>Others</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>/organization/1-mainstream</td>\n",
              "      <td>1 Mainstream</td>\n",
              "      <td>http://www.1mainstream.com</td>\n",
              "      <td>Apps|Cable|Distribution|Software</td>\n",
              "      <td>acquired</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>Cupertino</td>\n",
              "      <td>01-03-2012</td>\n",
              "      <td>/organization/1-mainstream</td>\n",
              "      <td>/funding-round/b952cbaf401f310927430c97b68162ea</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>17-03-2015</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>apps</td>\n",
              "      <td>News, Search and Messaging</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>/organization/1000lookz</td>\n",
              "      <td>1000Lookz</td>\n",
              "      <td>http://1000lookz.com</td>\n",
              "      <td>Beauty</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>25</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>01-01-2008</td>\n",
              "      <td>/organization/1000lookz</td>\n",
              "      <td>/funding-round/e07f6e580046d00c7aeb33fafb9d90a3</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>22-07-2013</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>beauty</td>\n",
              "      <td>Health</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>/organization/1000museums-com</td>\n",
              "      <td>1000museums.com</td>\n",
              "      <td>http://www.1000museums.com</td>\n",
              "      <td>Curated Web</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>MA</td>\n",
              "      <td>MA - Other</td>\n",
              "      <td>Lenox</td>\n",
              "      <td>01-01-2008</td>\n",
              "      <td>/organization/1000museums-com</td>\n",
              "      <td>/funding-round/adf2f3272af9f552b87e01f10f0b9234</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-02-2014</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>curated web</td>\n",
              "      <td>News, Search and Messaging</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114904</th>\n",
              "      <td>/organization/zynerba-pharmaceuticals</td>\n",
              "      <td>Zynerba Pharmaceuticals</td>\n",
              "      <td>http://zynerba.com</td>\n",
              "      <td>Pharmaceuticals</td>\n",
              "      <td>ipo</td>\n",
              "      <td>USA</td>\n",
              "      <td>PA</td>\n",
              "      <td>Philadelphia</td>\n",
              "      <td>Radnor</td>\n",
              "      <td>01-01-2014</td>\n",
              "      <td>/organization/zynerba-pharmaceuticals</td>\n",
              "      <td>/funding-round/8992160f6abc8e21563e54a6e97a8922</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14-10-2014</td>\n",
              "      <td>13,000,000.00</td>\n",
              "      <td>pharmaceuticals</td>\n",
              "      <td>Health</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114905</th>\n",
              "      <td>/organization/zynergy-projects-services</td>\n",
              "      <td>Zynergy Projects &amp; Services</td>\n",
              "      <td>http://www.zynergygroup.net/</td>\n",
              "      <td>Clean Technology</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>25</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/zynergy-projects-services</td>\n",
              "      <td>/funding-round/3d7dbd2d92220d93e2b5455f914a0918</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19-08-2015</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>clean technology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114907</th>\n",
              "      <td>/organization/zynga</td>\n",
              "      <td>Zynga</td>\n",
              "      <td>http://www.zynga.com</td>\n",
              "      <td>Facebook Applications|Games|Networking|Technology</td>\n",
              "      <td>ipo</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>San Francisco</td>\n",
              "      <td>01-07-2007</td>\n",
              "      <td>/organization/zynga</td>\n",
              "      <td>/funding-round/5bebd7acdfd44138f81d162f21c532f9</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>12-10-2010</td>\n",
              "      <td>6,337,786.00</td>\n",
              "      <td>facebook applications</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114922</th>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>ZYOMYX</td>\n",
              "      <td>http://www.zyomyx.com</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>MO</td>\n",
              "      <td>MO - Other</td>\n",
              "      <td>Fremont</td>\n",
              "      <td>01-01-1998</td>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>/funding-round/b4fce7f8a13267353d57db09099800e8</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11-07-2013</td>\n",
              "      <td>14,219,999.00</td>\n",
              "      <td>biotechnology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114936</th>\n",
              "      <td>/organization/zystor</td>\n",
              "      <td>Zystor</td>\n",
              "      <td>http://www.zystor.com</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>acquired</td>\n",
              "      <td>USA</td>\n",
              "      <td>WI</td>\n",
              "      <td>Milwaukee</td>\n",
              "      <td>Milwaukee</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/zystor</td>\n",
              "      <td>/funding-round/7ea37c0ff4132b084832039a9380d34e</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>16-12-2004</td>\n",
              "      <td>8,500,000.00</td>\n",
              "      <td>biotechnology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>6774 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                      permalink  ...                              main_sector\n",
              "0                           /organization/-fame  ...                            Entertainment\n",
              "5                /organization/004-technologies  ...                                   Others\n",
              "22                   /organization/1-mainstream  ...               News, Search and Messaging\n",
              "33                      /organization/1000lookz  ...                                   Health\n",
              "42                /organization/1000museums-com  ...               News, Search and Messaging\n",
              "...                                         ...  ...                                      ...\n",
              "114904    /organization/zynerba-pharmaceuticals  ...                                   Health\n",
              "114905  /organization/zynergy-projects-services  ...               Cleantech / Semiconductors\n",
              "114907                      /organization/zynga  ...  Social, Finance, Analytics, Advertising\n",
              "114922                 /organization/zyomyx-inc  ...               Cleantech / Semiconductors\n",
              "114936                     /organization/zystor  ...               Cleantech / Semiconductors\n",
              "\n",
              "[6774 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 178
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ht24YXLUxcGR"
      },
      "source": [
        "As mentioend, since the columns like founded_at and funding_round_code are not required for our analysis, we decide to not impute the NAs present in them (even though they have 10-30% NAs) . Neither we drop those rows to avoid information loss. \n",
        "\n",
        "So dropping NAs for the relevant columns (since they are less then 1%)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "01HJhoLjy4qk",
        "outputId": "b040a4e0-3eed-4ea1-db86-01f19a29821c"
      },
      "source": [
        "d13.dropna(subset = [\"country_code\",\"main_sector\",\"raised_amount_usd\",\"primary_sector\"], inplace= True )\n",
        "d13.isna().sum()"
      ],
      "execution_count": 179,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "permalink                     0\n",
              "name                          0\n",
              "homepage_url                687\n",
              "category_list_x               0\n",
              "status                        0\n",
              "country_code                  0\n",
              "state_code                   23\n",
              "region                       53\n",
              "city                         53\n",
              "founded_at                 2341\n",
              "company_permalink             0\n",
              "funding_round_permalink       0\n",
              "funding_round_type            0\n",
              "funding_round_code         4907\n",
              "funded_at                     0\n",
              "raised_amount_usd             0\n",
              "primary_sector                0\n",
              "main_sector                   0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 179
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 660
        },
        "id": "DZ_HPhauU4XB",
        "outputId": "6a73c619-77c2-4b31-9d19-0996dc3325b7"
      },
      "source": [
        "D1 = d13.loc[d13.country_code==\"USA\"]\n",
        "D1"
      ],
      "execution_count": 180,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "        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>permalink</th>\n",
              "      <th>name</th>\n",
              "      <th>homepage_url</th>\n",
              "      <th>category_list_x</th>\n",
              "      <th>status</th>\n",
              "      <th>country_code</th>\n",
              "      <th>state_code</th>\n",
              "      <th>region</th>\n",
              "      <th>city</th>\n",
              "      <th>founded_at</th>\n",
              "      <th>company_permalink</th>\n",
              "      <th>funding_round_permalink</th>\n",
              "      <th>funding_round_type</th>\n",
              "      <th>funding_round_code</th>\n",
              "      <th>funded_at</th>\n",
              "      <th>raised_amount_usd</th>\n",
              "      <th>primary_sector</th>\n",
              "      <th>main_sector</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>:Qounter</td>\n",
              "      <td>http://www.qounter.com</td>\n",
              "      <td>Application Platforms|Real Time|Social Network...</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>DE</td>\n",
              "      <td>DE - Other</td>\n",
              "      <td>Delaware City</td>\n",
              "      <td>04-09-2014</td>\n",
              "      <td>/organization/-qounter</td>\n",
              "      <td>/funding-round/22dacff496eb7acb2b901dec1dfe5633</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>14-10-2014</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>application platforms</td>\n",
              "      <td>News, Search and Messaging</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>/organization/004-technologies</td>\n",
              "      <td>004 Technologies</td>\n",
              "      <td>http://004gmbh.de/en/004-interact</td>\n",
              "      <td>Software</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>IL</td>\n",
              "      <td>Springfield, Illinois</td>\n",
              "      <td>Champaign</td>\n",
              "      <td>01-01-2010</td>\n",
              "      <td>/organization/004-technologies</td>\n",
              "      <td>/funding-round/1278dd4e6a37fa4b7d7e06c21b3c1830</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24-07-2014</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>software</td>\n",
              "      <td>Others</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>/organization/0xdata</td>\n",
              "      <td>H2O.ai</td>\n",
              "      <td>http://h2o.ai/</td>\n",
              "      <td>Analytics</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>Mountain View</td>\n",
              "      <td>01-01-2011</td>\n",
              "      <td>/organization/0xdata</td>\n",
              "      <td>/funding-round/e1cfcbe1bdf4c70277c5f29a3482f24e</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>19-07-2014</td>\n",
              "      <td>8,900,000.00</td>\n",
              "      <td>analytics</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>/organization/1-mainstream</td>\n",
              "      <td>1 Mainstream</td>\n",
              "      <td>http://www.1mainstream.com</td>\n",
              "      <td>Apps|Cable|Distribution|Software</td>\n",
              "      <td>acquired</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>Cupertino</td>\n",
              "      <td>01-03-2012</td>\n",
              "      <td>/organization/1-mainstream</td>\n",
              "      <td>/funding-round/b952cbaf401f310927430c97b68162ea</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>17-03-2015</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>apps</td>\n",
              "      <td>News, Search and Messaging</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>/organization/1000museums-com</td>\n",
              "      <td>1000museums.com</td>\n",
              "      <td>http://www.1000museums.com</td>\n",
              "      <td>Curated Web</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>MA</td>\n",
              "      <td>MA - Other</td>\n",
              "      <td>Lenox</td>\n",
              "      <td>01-01-2008</td>\n",
              "      <td>/organization/1000museums-com</td>\n",
              "      <td>/funding-round/adf2f3272af9f552b87e01f10f0b9234</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>01-02-2014</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>curated web</td>\n",
              "      <td>News, Search and Messaging</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",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114910</th>\n",
              "      <td>/organization/zynga</td>\n",
              "      <td>Zynga</td>\n",
              "      <td>http://www.zynga.com</td>\n",
              "      <td>Facebook Applications|Games|Networking|Technology</td>\n",
              "      <td>ipo</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>San Francisco</td>\n",
              "      <td>01-07-2007</td>\n",
              "      <td>/organization/zynga</td>\n",
              "      <td>/funding-round/8411431b5a0389a874e3fae93016c089</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>24-04-2010</td>\n",
              "      <td>15,000,000.00</td>\n",
              "      <td>facebook applications</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114914</th>\n",
              "      <td>/organization/zynga</td>\n",
              "      <td>Zynga</td>\n",
              "      <td>http://www.zynga.com</td>\n",
              "      <td>Facebook Applications|Games|Networking|Technology</td>\n",
              "      <td>ipo</td>\n",
              "      <td>USA</td>\n",
              "      <td>CA</td>\n",
              "      <td>SF Bay Area</td>\n",
              "      <td>San Francisco</td>\n",
              "      <td>01-07-2007</td>\n",
              "      <td>/organization/zynga</td>\n",
              "      <td>/funding-round/eb198261da812bc8d3bf475ccec44000</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>12-02-2008</td>\n",
              "      <td>5,026,000.00</td>\n",
              "      <td>facebook applications</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114920</th>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>ZYOMYX</td>\n",
              "      <td>http://www.zyomyx.com</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>MO</td>\n",
              "      <td>MO - Other</td>\n",
              "      <td>Fremont</td>\n",
              "      <td>01-01-1998</td>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>/funding-round/4191cb5258d3863b0212d1083881da64</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>30-06-2013</td>\n",
              "      <td>12,000,000.00</td>\n",
              "      <td>biotechnology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114922</th>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>ZYOMYX</td>\n",
              "      <td>http://www.zyomyx.com</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>MO</td>\n",
              "      <td>MO - Other</td>\n",
              "      <td>Fremont</td>\n",
              "      <td>01-01-1998</td>\n",
              "      <td>/organization/zyomyx-inc</td>\n",
              "      <td>/funding-round/b4fce7f8a13267353d57db09099800e8</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>11-07-2013</td>\n",
              "      <td>14,219,999.00</td>\n",
              "      <td>biotechnology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114936</th>\n",
              "      <td>/organization/zystor</td>\n",
              "      <td>Zystor</td>\n",
              "      <td>http://www.zystor.com</td>\n",
              "      <td>Biotechnology</td>\n",
              "      <td>acquired</td>\n",
              "      <td>USA</td>\n",
              "      <td>WI</td>\n",
              "      <td>Milwaukee</td>\n",
              "      <td>Milwaukee</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/zystor</td>\n",
              "      <td>/funding-round/7ea37c0ff4132b084832039a9380d34e</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>16-12-2004</td>\n",
              "      <td>8,500,000.00</td>\n",
              "      <td>biotechnology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>14154 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                             permalink  ...                              main_sector\n",
              "1               /organization/-qounter  ...               News, Search and Messaging\n",
              "5       /organization/004-technologies  ...                                   Others\n",
              "12                /organization/0xdata  ...  Social, Finance, Analytics, Advertising\n",
              "22          /organization/1-mainstream  ...               News, Search and Messaging\n",
              "42       /organization/1000museums-com  ...               News, Search and Messaging\n",
              "...                                ...  ...                                      ...\n",
              "114910             /organization/zynga  ...  Social, Finance, Analytics, Advertising\n",
              "114914             /organization/zynga  ...  Social, Finance, Analytics, Advertising\n",
              "114920        /organization/zyomyx-inc  ...               Cleantech / Semiconductors\n",
              "114922        /organization/zyomyx-inc  ...               Cleantech / Semiconductors\n",
              "114936            /organization/zystor  ...               Cleantech / Semiconductors\n",
              "\n",
              "[14154 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 180
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 779
        },
        "id": "E2F5vNCvWlmL",
        "outputId": "40ad277d-4368-4e77-e789-339ef2b12934"
      },
      "source": [
        "D2 = d13.loc[d13.country_code==\"GBR\"]\n",
        "D2"
      ],
      "execution_count": 181,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>permalink</th>\n",
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              "      <th>funding_round_type</th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>401</th>\n",
              "      <td>/organization/365scores</td>\n",
              "      <td>365Scores</td>\n",
              "      <td>http://biz.365scores.com</td>\n",
              "      <td>Android|Apps|iPhone|Mobile|Sports</td>\n",
              "      <td>operating</td>\n",
              "      <td>GBR</td>\n",
              "      <td>H9</td>\n",
              "      <td>London</td>\n",
              "      <td>London</td>\n",
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              "      <td>B</td>\n",
              "      <td>29-09-2014</td>\n",
              "      <td>5,500,000.00</td>\n",
              "      <td>android</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>864</th>\n",
              "      <td>/organization/7digital</td>\n",
              "      <td>7digital</td>\n",
              "      <td>http://about.7digital.com</td>\n",
              "      <td>Content Creators|Content Delivery|Licensing|Mu...</td>\n",
              "      <td>acquired</td>\n",
              "      <td>GBR</td>\n",
              "      <td>H9</td>\n",
              "      <td>London</td>\n",
              "      <td>London</td>\n",
              "      <td>01-01-2004</td>\n",
              "      <td>/organization/7digital</td>\n",
              "      <td>/funding-round/b5ad7ed7baddd3974bd51403f17dd88f</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>01-01-2008</td>\n",
              "      <td>8,468,328.00</td>\n",
              "      <td>content creators</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>865</th>\n",
              "      <td>/organization/7digital</td>\n",
              "      <td>7digital</td>\n",
              "      <td>http://about.7digital.com</td>\n",
              "      <td>Content Creators|Content Delivery|Licensing|Mu...</td>\n",
              "      <td>acquired</td>\n",
              "      <td>GBR</td>\n",
              "      <td>H9</td>\n",
              "      <td>London</td>\n",
              "      <td>London</td>\n",
              "      <td>01-01-2004</td>\n",
              "      <td>/organization/7digital</td>\n",
              "      <td>/funding-round/eafacfcceb1fbc4fd605f641b603313e</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19-10-2012</td>\n",
              "      <td>10,000,000.00</td>\n",
              "      <td>content creators</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>942</th>\n",
              "      <td>/organization/90min</td>\n",
              "      <td>90min</td>\n",
              "      <td>http://www.90min.com</td>\n",
              "      <td>Media|News|Publishing|Soccer|Sports</td>\n",
              "      <td>operating</td>\n",
              "      <td>GBR</td>\n",
              "      <td>H9</td>\n",
              "      <td>London</td>\n",
              "      <td>London</td>\n",
              "      <td>01-01-2011</td>\n",
              "      <td>/organization/90min</td>\n",
              "      <td>/funding-round/21a2cbf6f2fb2a1c2a61e04bf930dfe6</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>06-10-2015</td>\n",
              "      <td>15,000,000.00</td>\n",
              "      <td>media</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>943</th>\n",
              "      <td>/organization/90min</td>\n",
              "      <td>90min</td>\n",
              "      <td>http://www.90min.com</td>\n",
              "      <td>Media|News|Publishing|Soccer|Sports</td>\n",
              "      <td>operating</td>\n",
              "      <td>GBR</td>\n",
              "      <td>H9</td>\n",
              "      <td>London</td>\n",
              "      <td>London</td>\n",
              "      <td>01-01-2011</td>\n",
              "      <td>/organization/90min</td>\n",
              "      <td>/funding-round/bd626ed022f5c66574b1afe234f3c90d</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>07-05-2013</td>\n",
              "      <td>5,800,000.00</td>\n",
              "      <td>media</td>\n",
              "      <td>Entertainment</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114660</th>\n",
              "      <td>/organization/zopa</td>\n",
              "      <td>Zopa</td>\n",
              "      <td>http://www.zopa.com</td>\n",
              "      <td>Finance|FinTech</td>\n",
              "      <td>operating</td>\n",
              "      <td>GBR</td>\n",
              "      <td>H9</td>\n",
              "      <td>London</td>\n",
              "      <td>London</td>\n",
              "      <td>01-03-2005</td>\n",
              "      <td>/organization/zopa</td>\n",
              "      <td>/funding-round/2a55d435c3433d8f903526c050c19361</td>\n",
              "      <td>venture</td>\n",
              "      <td>C</td>\n",
              "      <td>20-03-2007</td>\n",
              "      <td>12,900,000.00</td>\n",
              "      <td>finance</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114661</th>\n",
              "      <td>/organization/zopa</td>\n",
              "      <td>Zopa</td>\n",
              "      <td>http://www.zopa.com</td>\n",
              "      <td>Finance|FinTech</td>\n",
              "      <td>operating</td>\n",
              "      <td>GBR</td>\n",
              "      <td>H9</td>\n",
              "      <td>London</td>\n",
              "      <td>London</td>\n",
              "      <td>01-03-2005</td>\n",
              "      <td>/organization/zopa</td>\n",
              "      <td>/funding-round/4b0740cb83da8d2af9d221e5455f8923</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>01-03-2006</td>\n",
              "      <td>15,000,000.00</td>\n",
              "      <td>finance</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114662</th>\n",
              "      <td>/organization/zopa</td>\n",
              "      <td>Zopa</td>\n",
              "      <td>http://www.zopa.com</td>\n",
              "      <td>Finance|FinTech</td>\n",
              "      <td>operating</td>\n",
              "      <td>GBR</td>\n",
              "      <td>H9</td>\n",
              "      <td>London</td>\n",
              "      <td>London</td>\n",
              "      <td>01-03-2005</td>\n",
              "      <td>/organization/zopa</td>\n",
              "      <td>/funding-round/51b67c36a1c7ecfa2bcfeaabc2930257</td>\n",
              "      <td>venture</td>\n",
              "      <td>D</td>\n",
              "      <td>11-12-2012</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>finance</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114663</th>\n",
              "      <td>/organization/zopa</td>\n",
              "      <td>Zopa</td>\n",
              "      <td>http://www.zopa.com</td>\n",
              "      <td>Finance|FinTech</td>\n",
              "      <td>operating</td>\n",
              "      <td>GBR</td>\n",
              "      <td>H9</td>\n",
              "      <td>London</td>\n",
              "      <td>London</td>\n",
              "      <td>01-03-2005</td>\n",
              "      <td>/organization/zopa</td>\n",
              "      <td>/funding-round/54dbfbd899caf7d1d4b2b7676065f303</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>01-07-2006</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>finance</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114916</th>\n",
              "      <td>/organization/zynstra</td>\n",
              "      <td>Zynstra</td>\n",
              "      <td>http://www.zynstra.com</td>\n",
              "      <td>Software</td>\n",
              "      <td>operating</td>\n",
              "      <td>GBR</td>\n",
              "      <td>A4</td>\n",
              "      <td>Bath</td>\n",
              "      <td>Bath</td>\n",
              "      <td>30-11-2011</td>\n",
              "      <td>/organization/zynstra</td>\n",
              "      <td>/funding-round/05f43b37c270f5919578281ce803de8f</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>09-07-2014</td>\n",
              "      <td>8,400,000.00</td>\n",
              "      <td>software</td>\n",
              "      <td>Others</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>845 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      permalink  ...                              main_sector\n",
              "401     /organization/365scores  ...  Social, Finance, Analytics, Advertising\n",
              "864      /organization/7digital  ...                            Entertainment\n",
              "865      /organization/7digital  ...                            Entertainment\n",
              "942         /organization/90min  ...                            Entertainment\n",
              "943         /organization/90min  ...                            Entertainment\n",
              "...                         ...  ...                                      ...\n",
              "114660       /organization/zopa  ...  Social, Finance, Analytics, Advertising\n",
              "114661       /organization/zopa  ...  Social, Finance, Analytics, Advertising\n",
              "114662       /organization/zopa  ...  Social, Finance, Analytics, Advertising\n",
              "114663       /organization/zopa  ...  Social, Finance, Analytics, Advertising\n",
              "114916    /organization/zynstra  ...                                   Others\n",
              "\n",
              "[845 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 181
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 677
        },
        "id": "qNUj6H3GU4ap",
        "outputId": "c902e6bc-7794-4335-9195-96c7367479c8"
      },
      "source": [
        "D3 = d13.loc[d13.country_code==\"IND\"]\n",
        "D3"
      ],
      "execution_count": 182,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>permalink</th>\n",
              "      <th>name</th>\n",
              "      <th>homepage_url</th>\n",
              "      <th>category_list_x</th>\n",
              "      <th>status</th>\n",
              "      <th>country_code</th>\n",
              "      <th>state_code</th>\n",
              "      <th>region</th>\n",
              "      <th>city</th>\n",
              "      <th>founded_at</th>\n",
              "      <th>company_permalink</th>\n",
              "      <th>funding_round_permalink</th>\n",
              "      <th>funding_round_type</th>\n",
              "      <th>funding_round_code</th>\n",
              "      <th>funded_at</th>\n",
              "      <th>raised_amount_usd</th>\n",
              "      <th>primary_sector</th>\n",
              "      <th>main_sector</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>#fame</td>\n",
              "      <td>http://livfame.com</td>\n",
              "      <td>Media</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>16</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>/funding-round/9a01d05418af9f794eebff7ace91f638</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>05-01-2015</td>\n",
              "      <td>10,000,000.00</td>\n",
              "      <td>media</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>/organization/1000lookz</td>\n",
              "      <td>1000Lookz</td>\n",
              "      <td>http://1000lookz.com</td>\n",
              "      <td>Beauty</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>25</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>01-01-2008</td>\n",
              "      <td>/organization/1000lookz</td>\n",
              "      <td>/funding-round/e07f6e580046d00c7aeb33fafb9d90a3</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>22-07-2013</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>beauty</td>\n",
              "      <td>Health</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>227</th>\n",
              "      <td>/organization/21diamonds-india</td>\n",
              "      <td>21Diamonds</td>\n",
              "      <td>http://www.21diamonds.de</td>\n",
              "      <td>E-Commerce</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>10</td>\n",
              "      <td>New Delhi</td>\n",
              "      <td>Gurgaon</td>\n",
              "      <td>01-06-2012</td>\n",
              "      <td>/organization/21diamonds-india</td>\n",
              "      <td>/funding-round/6de7ffef8091ba9f33821f4b861f434a</td>\n",
              "      <td>venture</td>\n",
              "      <td>C</td>\n",
              "      <td>15-11-2012</td>\n",
              "      <td>6,369,507.00</td>\n",
              "      <td>e-commerce</td>\n",
              "      <td>Others</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>981</th>\n",
              "      <td>/organization/99games-online-private-limited</td>\n",
              "      <td>99Games Online Private Limited</td>\n",
              "      <td>http://www.99games.in</td>\n",
              "      <td>Games</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>19</td>\n",
              "      <td>Udupi</td>\n",
              "      <td>Udupi</td>\n",
              "      <td>01-01-2008</td>\n",
              "      <td>/organization/99games-online-private-limited</td>\n",
              "      <td>/funding-round/87ada2328b16d0e9f5122e7dff49cf0c</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>17-04-2015</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>games</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1049</th>\n",
              "      <td>/organization/a-little-world</td>\n",
              "      <td>A LITTLE WORLD</td>\n",
              "      <td>http://alittleworld.com</td>\n",
              "      <td>Finance</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>16</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>02-03-2000</td>\n",
              "      <td>/organization/a-little-world</td>\n",
              "      <td>/funding-round/18d98f82ed392b1609975b81f3e8b3fb</td>\n",
              "      <td>venture</td>\n",
              "      <td>B</td>\n",
              "      <td>09-09-2008</td>\n",
              "      <td>6,410,000.00</td>\n",
              "      <td>finance</td>\n",
              "      <td>Social, Finance, Analytics, Advertising</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114584</th>\n",
              "      <td>/organization/zoomcar-india</td>\n",
              "      <td>ZoomCar</td>\n",
              "      <td>http://www.zoomcar.in</td>\n",
              "      <td>Automotive|Consumers|E-Commerce|Transportation</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>19</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>01-01-2012</td>\n",
              "      <td>/organization/zoomcar-india</td>\n",
              "      <td>/funding-round/a7cdd2e85e583a992e021b323b7374ad</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>31-10-2014</td>\n",
              "      <td>8,000,000.00</td>\n",
              "      <td>automotive</td>\n",
              "      <td>Automotive &amp; Sports</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114585</th>\n",
              "      <td>/organization/zoomcar-india</td>\n",
              "      <td>ZoomCar</td>\n",
              "      <td>http://www.zoomcar.in</td>\n",
              "      <td>Automotive|Consumers|E-Commerce|Transportation</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>19</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>01-01-2012</td>\n",
              "      <td>/organization/zoomcar-india</td>\n",
              "      <td>/funding-round/de560f3d008b7662d844e48fa1e467b3</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>08-07-2015</td>\n",
              "      <td>11,000,000.00</td>\n",
              "      <td>automotive</td>\n",
              "      <td>Automotive &amp; Sports</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114606</th>\n",
              "      <td>/organization/zoomo</td>\n",
              "      <td>Zoomo</td>\n",
              "      <td>http://www.gozoomo.com/</td>\n",
              "      <td>Internet</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>19</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>01-01-2014</td>\n",
              "      <td>/organization/zoomo</td>\n",
              "      <td>/funding-round/473111947c0915402be71b8b61ec62f6</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>02-07-2015</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>internet</td>\n",
              "      <td>News, Search and Messaging</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114669</th>\n",
              "      <td>/organization/zopnow</td>\n",
              "      <td>ZopNow</td>\n",
              "      <td>http://www.zopnow.com</td>\n",
              "      <td>Groceries|Logistics</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>19</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>Bangalore</td>\n",
              "      <td>13-09-2011</td>\n",
              "      <td>/organization/zopnow</td>\n",
              "      <td>/funding-round/a0fa8c6ccaa3f11f3f0f196e03ff7449</td>\n",
              "      <td>venture</td>\n",
              "      <td>A</td>\n",
              "      <td>13-04-2015</td>\n",
              "      <td>10,000,000.00</td>\n",
              "      <td>groceries</td>\n",
              "      <td>Manufacturing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>114905</th>\n",
              "      <td>/organization/zynergy-projects-services</td>\n",
              "      <td>Zynergy Projects &amp; Services</td>\n",
              "      <td>http://www.zynergygroup.net/</td>\n",
              "      <td>Clean Technology</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>25</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>NaN</td>\n",
              "      <td>/organization/zynergy-projects-services</td>\n",
              "      <td>/funding-round/3d7dbd2d92220d93e2b5455f914a0918</td>\n",
              "      <td>venture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>19-08-2015</td>\n",
              "      <td>5,000,000.00</td>\n",
              "      <td>clean technology</td>\n",
              "      <td>Cleantech / Semiconductors</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>493 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           permalink  ...                              main_sector\n",
              "0                                /organization/-fame  ...                            Entertainment\n",
              "33                           /organization/1000lookz  ...                                   Health\n",
              "227                   /organization/21diamonds-india  ...                                   Others\n",
              "981     /organization/99games-online-private-limited  ...                            Entertainment\n",
              "1049                    /organization/a-little-world  ...  Social, Finance, Analytics, Advertising\n",
              "...                                              ...  ...                                      ...\n",
              "114584                   /organization/zoomcar-india  ...                      Automotive & Sports\n",
              "114585                   /organization/zoomcar-india  ...                      Automotive & Sports\n",
              "114606                           /organization/zoomo  ...               News, Search and Messaging\n",
              "114669                          /organization/zopnow  ...                            Manufacturing\n",
              "114905       /organization/zynergy-projects-services  ...               Cleantech / Semiconductors\n",
              "\n",
              "[493 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 182
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 824
        },
        "id": "O8mjPCnpU4dl",
        "outputId": "99a5e243-1870-4e86-c2bb-e0a68245bfa7"
      },
      "source": [
        "grouped = d13[[\"country_code\",\"main_sector\",\"raised_amount_usd\"]].groupby([\"country_code\",\"main_sector\"])\n",
        "stats = grouped.agg([\"sum\",\"count\"])[\"raised_amount_usd\"]\n",
        "stats.sort_values([\"country_code\",\"count\"],ascending=False)"
      ],
      "execution_count": 183,
      "outputs": [
        {
          "output_type": "execute_result",
          "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></th>\n",
              "      <th>sum</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>country_code</th>\n",
              "      <th>main_sector</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th rowspan=\"8\" valign=\"top\">USA</th>\n",
              "      <th>Others</th>\n",
              "      <td>28,586,007,002.00</td>\n",
              "      <td>3403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Social, Finance, Analytics, Advertising</th>\n",
              "      <td>26,687,376,964.00</td>\n",
              "      <td>3290</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cleantech / Semiconductors</th>\n",
              "      <td>22,993,430,822.00</td>\n",
              "      <td>2622</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>News, Search and Messaging</th>\n",
              "      <td>15,281,567,428.00</td>\n",
              "      <td>1845</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Health</th>\n",
              "      <td>8,931,859,357.00</td>\n",
              "      <td>1053</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Manufacturing</th>\n",
              "      <td>8,208,553,378.00</td>\n",
              "      <td>989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Entertainment</th>\n",
              "      <td>5,764,197,982.00</td>\n",
              "      <td>724</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Automotive &amp; Sports</th>\n",
              "      <td>1,759,104,361.00</td>\n",
              "      <td>228</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"8\" valign=\"top\">IND</th>\n",
              "      <th>Others</th>\n",
              "      <td>1,253,409,507.00</td>\n",
              "      <td>158</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Social, Finance, Analytics, Advertising</th>\n",
              "      <td>780,549,550.00</td>\n",
              "      <td>106</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>News, Search and Messaging</th>\n",
              "      <td>553,834,545.00</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Entertainment</th>\n",
              "      <td>350,830,000.00</td>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Health</th>\n",
              "      <td>237,740,000.00</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Manufacturing</th>\n",
              "      <td>245,900,000.00</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cleantech / Semiconductors</th>\n",
              "      <td>210,380,000.00</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Automotive &amp; Sports</th>\n",
              "      <td>141,900,000.00</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"8\" valign=\"top\">GBR</th>\n",
              "      <th>Others</th>\n",
              "      <td>1,603,624,289.00</td>\n",
              "      <td>211</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Social, Finance, Analytics, Advertising</th>\n",
              "      <td>1,389,404,014.00</td>\n",
              "      <td>193</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cleantech / Semiconductors</th>\n",
              "      <td>1,283,990,056.00</td>\n",
              "      <td>154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>News, Search and Messaging</th>\n",
              "      <td>735,746,235.00</td>\n",
              "      <td>97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Entertainment</th>\n",
              "      <td>602,784,687.00</td>\n",
              "      <td>80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Manufacturing</th>\n",
              "      <td>411,940,335.00</td>\n",
              "      <td>52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Health</th>\n",
              "      <td>254,537,510.00</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Automotive &amp; Sports</th>\n",
              "      <td>217,051,565.00</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                                   sum  count\n",
              "country_code main_sector                                                     \n",
              "USA          Others                                  28,586,007,002.00   3403\n",
              "             Social, Finance, Analytics, Advertising 26,687,376,964.00   3290\n",
              "             Cleantech / Semiconductors              22,993,430,822.00   2622\n",
              "             News, Search and Messaging              15,281,567,428.00   1845\n",
              "             Health                                   8,931,859,357.00   1053\n",
              "             Manufacturing                            8,208,553,378.00    989\n",
              "             Entertainment                            5,764,197,982.00    724\n",
              "             Automotive & Sports                      1,759,104,361.00    228\n",
              "IND          Others                                   1,253,409,507.00    158\n",
              "             Social, Finance, Analytics, Advertising    780,549,550.00    106\n",
              "             News, Search and Messaging                 553,834,545.00     76\n",
              "             Entertainment                              350,830,000.00     47\n",
              "             Health                                     237,740,000.00     33\n",
              "             Manufacturing                              245,900,000.00     30\n",
              "             Cleantech / Semiconductors                 210,380,000.00     29\n",
              "             Automotive & Sports                        141,900,000.00     14\n",
              "GBR          Others                                   1,603,624,289.00    211\n",
              "             Social, Finance, Analytics, Advertising  1,389,404,014.00    193\n",
              "             Cleantech / Semiconductors               1,283,990,056.00    154\n",
              "             News, Search and Messaging                 735,746,235.00     97\n",
              "             Entertainment                              602,784,687.00     80\n",
              "             Manufacturing                              411,940,335.00     52\n",
              "             Health                                     254,537,510.00     32\n",
              "             Automotive & Sports                        217,051,565.00     26"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qp15Nayab8gD"
      },
      "source": [
        "This shows country - wise top sectors"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iyUERAZNdXhB",
        "outputId": "c5b33467-17e7-4534-8b06-45e584c6fef0"
      },
      "source": [
        "sectorwiseTop3 = stats.sort_values(\"count\").groupby(level=0).tail(3).sort_index().sort_values([\"country_code\",\"count\"],ascending=False)\n",
        "print(sectorwiseTop3)\n",
        "sectorwiseTop3 = sectorwiseTop3.reset_index()  ### multiindex to col"
      ],
      "execution_count": 194,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "                                                                   sum  count\n",
            "country_code main_sector                                                     \n",
            "USA          Others                                  28,586,007,002.00   3403\n",
            "             Social, Finance, Analytics, Advertising 26,687,376,964.00   3290\n",
            "             Cleantech / Semiconductors              22,993,430,822.00   2622\n",
            "IND          Others                                   1,253,409,507.00    158\n",
            "             Social, Finance, Analytics, Advertising    780,549,550.00    106\n",
            "             News, Search and Messaging                 553,834,545.00     76\n",
            "GBR          Others                                   1,603,624,289.00    211\n",
            "             Social, Finance, Analytics, Advertising  1,389,404,014.00    193\n",
            "             Cleantech / Semiconductors               1,283,990,056.00    154\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "id": "CY74rjKFY7b2",
        "outputId": "31980b65-a3db-469a-f3c7-7b23869fc17c"
      },
      "source": [
        "# OR using pivot tables\n",
        "pd.pivot_table(d13, index = \"country_code\", columns = \"main_sector\" , values = \"raised_amount_usd\",aggfunc=[np.sum,len])\n"
      ],
      "execution_count": 185,
      "outputs": [
        {
          "output_type": "execute_result",
          "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 tr th {\n",
              "        text-align: left;\n",
              "    }\n",
              "\n",
              "    .dataframe thead tr:last-of-type th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <th colspan=\"8\" halign=\"left\">sum</th>\n",
              "      <th colspan=\"8\" halign=\"left\">len</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>main_sector</th>\n",
              "      <th>Automotive &amp; Sports</th>\n",
              "      <th>Cleantech / Semiconductors</th>\n",
              "      <th>Entertainment</th>\n",
              "      <th>Health</th>\n",
              "      <th>Manufacturing</th>\n",
              "      <th>News, Search and Messaging</th>\n",
              "      <th>Others</th>\n",
              "      <th>Social, Finance, Analytics, Advertising</th>\n",
              "      <th>Automotive &amp; Sports</th>\n",
              "      <th>Cleantech / Semiconductors</th>\n",
              "      <th>Entertainment</th>\n",
              "      <th>Health</th>\n",
              "      <th>Manufacturing</th>\n",
              "      <th>News, Search and Messaging</th>\n",
              "      <th>Others</th>\n",
              "      <th>Social, Finance, Analytics, Advertising</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>country_code</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>GBR</th>\n",
              "      <td>217,051,565.00</td>\n",
              "      <td>1,283,990,056.00</td>\n",
              "      <td>602,784,687.00</td>\n",
              "      <td>254,537,510.00</td>\n",
              "      <td>411,940,335.00</td>\n",
              "      <td>735,746,235.00</td>\n",
              "      <td>1,603,624,289.00</td>\n",
              "      <td>1,389,404,014.00</td>\n",
              "      <td>26.00</td>\n",
              "      <td>154.00</td>\n",
              "      <td>80.00</td>\n",
              "      <td>32.00</td>\n",
              "      <td>52.00</td>\n",
              "      <td>97.00</td>\n",
              "      <td>211.00</td>\n",
              "      <td>193.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IND</th>\n",
              "      <td>141,900,000.00</td>\n",
              "      <td>210,380,000.00</td>\n",
              "      <td>350,830,000.00</td>\n",
              "      <td>237,740,000.00</td>\n",
              "      <td>245,900,000.00</td>\n",
              "      <td>553,834,545.00</td>\n",
              "      <td>1,253,409,507.00</td>\n",
              "      <td>780,549,550.00</td>\n",
              "      <td>14.00</td>\n",
              "      <td>29.00</td>\n",
              "      <td>47.00</td>\n",
              "      <td>33.00</td>\n",
              "      <td>30.00</td>\n",
              "      <td>76.00</td>\n",
              "      <td>158.00</td>\n",
              "      <td>106.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>USA</th>\n",
              "      <td>1,759,104,361.00</td>\n",
              "      <td>22,993,430,822.00</td>\n",
              "      <td>5,764,197,982.00</td>\n",
              "      <td>8,931,859,357.00</td>\n",
              "      <td>8,208,553,378.00</td>\n",
              "      <td>15,281,567,428.00</td>\n",
              "      <td>28,586,007,002.00</td>\n",
              "      <td>26,687,376,964.00</td>\n",
              "      <td>228.00</td>\n",
              "      <td>2,622.00</td>\n",
              "      <td>724.00</td>\n",
              "      <td>1,053.00</td>\n",
              "      <td>989.00</td>\n",
              "      <td>1,845.00</td>\n",
              "      <td>3,403.00</td>\n",
              "      <td>3,290.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             sum  ...                                     len\n",
              "main_sector  Automotive & Sports  ... Social, Finance, Analytics, Advertising\n",
              "country_code                      ...                                        \n",
              "GBR               217,051,565.00  ...                                  193.00\n",
              "IND               141,900,000.00  ...                                  106.00\n",
              "USA             1,759,104,361.00  ...                                3,290.00\n",
              "\n",
              "[3 rows x 16 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 185
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 384
        },
        "id": "sVSDJyolRC5C",
        "outputId": "ee42ad0a-a399-4498-9a56-f7706f8f3d52"
      },
      "source": [
        "# sns.barplot(data=sectorwiseTop3.iloc[:,0:3],x=\"main_sector\",y=\"country_code\")\n",
        "sns.catplot(x=\"country_code\", y=\"sum\", hue=\"main_sector\", kind=\"bar\", data=sectorwiseTop3.iloc[:,0:3])\n",
        "plt.show()"
      ],
      "execution_count": 186,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 585.25x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405
        },
        "id": "gqSqKM4EQ3lE",
        "outputId": "29e5a7c4-b407-4425-c52d-ffa1da06c70d"
      },
      "source": [
        "plt.figure(figsize=[11,7])\n",
        "\n",
        "g=sns.catplot(x=\"country_code\", y=\"sum\", hue=\"main_sector\", kind=\"bar\", data=sectorwiseTop3.iloc[:,0:3])\n",
        "\n",
        "g.fig.get_axes()[0].set_yscale('log')  ## Changing to log scale\n",
        "g.set(xlabel = \"Country\", ylabel='Log Raised Amount (USD)')\n",
        "g._legend.set_title(\"Main Sectors\")\n",
        "plt.title(\"Top 3 sectors in top 3 most invested countries (Log Scale)\")\n",
        "plt.show()"
      ],
      "execution_count": 187,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 792x504 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 585.25x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GSelLgSOa9zn"
      },
      "source": [
        "Total number of investments in the countries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EZeVlGA5aZmL",
        "outputId": "9282f77a-7d7a-402a-95af-44f29cf0450f"
      },
      "source": [
        "print(\"USA\\n\",stats.loc[\"USA\",:].sum(),\"\\n\\n\")\n",
        "print(\"GBR\\n\",stats.loc[\"GBR\",:].sum(),\"\\n\\n\")\n",
        "print(\"IND\\n\",stats.loc[\"IND\",:].sum(),\"\\n\\n\")\n"
      ],
      "execution_count": 188,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "USA\n",
            " sum     118,212,097,294.00\n",
            "count            14,154.00\n",
            "dtype: float64 \n",
            "\n",
            "\n",
            "GBR\n",
            " sum     6,499,078,691.00\n",
            "count             845.00\n",
            "dtype: float64 \n",
            "\n",
            "\n",
            "IND\n",
            " sum     3,774,543,602.00\n",
            "count             493.00\n",
            "dtype: float64 \n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mx3WcshldFEo"
      },
      "source": [
        "Companies with highest investment"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "peKDIoTDdLHN",
        "outputId": "7bf55c8d-0954-4d95-d25d-2fa04ba7a4f6"
      },
      "source": [
        "print(\"USA:\\n\",D1.loc[D1[\"main_sector\"]==\"Others\",[\"name\",\"raised_amount_usd\"]].groupby(\"name\").agg([\"sum\",\"count\"])[\"raised_amount_usd\"].sort_values(\"sum\",ascending=False))\n",
        "print(\"\\n\\n\\n\",D1.loc[D1[\"main_sector\"]==\"Social, Finance, Analytics, Advertising\",[\"name\",\"raised_amount_usd\"]].groupby(\"name\").agg([\"sum\",\"count\"])[\"raised_amount_usd\"].sort_values(\"sum\",ascending=False))"
      ],
      "execution_count": 189,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "USA:\n",
            "                                 sum  count\n",
            "name                                      \n",
            "Virtustream           64,300,000.00      6\n",
            "Tillster              61,198,945.00      7\n",
            "Capella Photonics     54,968,051.00      6\n",
            "AirTight Networks     54,201,907.00      5\n",
            "deCarta               52,100,000.00      5\n",
            "...                             ...    ...\n",
            "Domain Holdings Group  5,000,000.00      1\n",
            "Senscio Systems        5,000,000.00      1\n",
            "Sensics                5,000,000.00      1\n",
            "Dolls Kill             5,000,000.00      1\n",
            "SendGrid               5,000,000.00      1\n",
            "\n",
            "[2333 rows x 2 columns]\n",
            "\n",
            "\n",
            "\n",
            "                                           sum  count\n",
            "name                                                \n",
            "SST Inc. (Formerly ShotSpotter) 67,933,006.00      7\n",
            "Intacct                         66,800,000.00      6\n",
            "Demandbase                      63,000,000.00      5\n",
            "Powerhouse Dynamics             61,300,000.00     12\n",
            "Lithium Technologies            61,000,000.00     10\n",
            "...                                       ...    ...\n",
            "Beyond Games                     5,000,000.00      1\n",
            "Beyond Meat                      5,000,000.00      1\n",
            "Fundly                           5,000,000.00      1\n",
            "Hyperwallet Systems Inc.         5,000,000.00      1\n",
            "Manicube                         5,000,000.00      1\n",
            "\n",
            "[2195 rows x 2 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "csIUPvKw3xTs",
        "outputId": "b751e505-9c46-42dc-ff30-c327002232b1"
      },
      "source": [
        "print(\"GBR:\\n\",D2.loc[D2[\"main_sector\"]==\"Others\",[\"name\",\"raised_amount_usd\"]].groupby(\"name\").agg([\"sum\",\"count\"])[\"raised_amount_usd\"].sort_values(\"sum\",ascending=False))\n",
        "print(\"\\n\\n\\n\",D2.loc[D2[\"main_sector\"]==\"Social, Finance, Analytics, Advertising\",[\"name\",\"raised_amount_usd\"]].groupby(\"name\").agg([\"sum\",\"count\"])[\"raised_amount_usd\"].sort_values(\"sum\",ascending=False))"
      ],
      "execution_count": 190,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "GBR:\n",
            "                              sum  count\n",
            "name                                   \n",
            "Electric Cloud     37,000,000.00      4\n",
            "Notonthehighstreet 36,900,000.00      4\n",
            "SenSage            36,250,000.00      4\n",
            "Enigmatec          32,500,000.00      3\n",
            "ip.access          30,000,000.00      3\n",
            "...                          ...    ...\n",
            "Girl Meets Dress    5,000,000.00      1\n",
            "Getlenses.co.uk     5,000,000.00      1\n",
            "Gekko               5,000,000.00      1\n",
            "Udex                5,000,000.00      1\n",
            "ACHICA              5,000,000.00      1\n",
            "\n",
            "[167 rows x 2 columns]\n",
            "\n",
            "\n",
            "\n",
            "                                 sum  count\n",
            "name                                      \n",
            "Zopa                  37,900,000.00      4\n",
            "Celltick Technologies 37,500,000.00      4\n",
            "myThings              34,000,000.00      4\n",
            "SumUp                 29,293,649.00      3\n",
            "VisualDNA             28,550,000.00      3\n",
            "...                             ...    ...\n",
            "Tamoco                 5,000,000.00      1\n",
            "TaskPipes              5,000,000.00      1\n",
            "JustPark               5,000,000.00      1\n",
            "The Fizzback Group     5,000,000.00      1\n",
            "Mobyko                 5,000,000.00      1\n",
            "\n",
            "[149 rows x 2 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4UhFWBWA3xX-",
        "outputId": "4e2a813f-e44c-46f2-d2c4-14b1eb861f59"
      },
      "source": [
        "print(\"IND:\\n\",D3.loc[D3[\"main_sector\"]==\"Others\",[\"name\",\"raised_amount_usd\"]].groupby(\"name\").agg([\"sum\",\"count\"])[\"raised_amount_usd\"].sort_values(\"sum\",ascending=False))\n",
        "print(\"\\n\\n\\n\",D3.loc[D3[\"main_sector\"]==\"Social, Finance, Analytics, Advertising\",[\"name\",\"raised_amount_usd\"]].groupby(\"name\").agg([\"sum\",\"count\"])[\"raised_amount_usd\"].sort_values(\"sum\",ascending=False))"
      ],
      "execution_count": 191,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "IND:\n",
            "                                                              sum  count\n",
            "name                                                                   \n",
            "FirstCry.com                                       39,000,000.00      3\n",
            "Myntra                                             38,000,000.00      4\n",
            "CommonFloor                                        32,900,000.00      3\n",
            "Pepperfry.com                                      28,000,000.00      3\n",
            "Maharana Infrastructure and Professional Servic... 26,600,000.00      3\n",
            "...                                                          ...    ...\n",
            "FindYahan                                           5,000,000.00      1\n",
            "Stayzilla                                           5,000,000.00      1\n",
            "TastyKhana                                          5,000,000.00      1\n",
            "Englishleap.com                                     5,000,000.00      1\n",
            "EasyFix                                             5,000,000.00      1\n",
            "\n",
            "[129 rows x 2 columns]\n",
            "\n",
            "\n",
            "\n",
            "                                      sum  count\n",
            "name                                           \n",
            "Manthan Systems            50,700,000.00      4\n",
            "Komli Media                28,000,000.00      3\n",
            "ShopClues.com              25,000,000.00      2\n",
            "inTarvo                    21,900,000.00      2\n",
            "Grameen Financial Services 21,556,050.00      2\n",
            "...                                  ...    ...\n",
            "PolicyBazaar                5,000,000.00      1\n",
            "Primaseller                 5,000,000.00      1\n",
            "Faircent                    5,000,000.00      1\n",
            "Profoundis Labs             5,000,000.00      1\n",
            "Kae Capital                 5,000,000.00      1\n",
            "\n",
            "[89 rows x 2 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qS9xzBOxS2Hx"
      },
      "source": [
        "##Conclusion"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xKNFigLH4SAj"
      },
      "source": [
        "\n",
        "\n",
        "Spark funds can invest (as venture funding ) in companies in USA, Great Britain and India in sectors “Others” , “Cleantech / Semiconductors” , “Social, Finance, Analytics, Advertising” and “News, Search and Messaging”\n",
        "\n",
        "Some of the companies are: Virtustream and SST Inc. (Formerly ShotSpotter) in USA, Electric Cloud and Celltick Technologies in Great Britain and FirstCry.com and Manthan Systems in India.\n"
      ]
    }
  ]
}