PROYECTO_FINAL_CIENCIA_DE_DATOS.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Pedro1Guevara/proyectofinalcd/blob/main/PROYECTO_FINAL_CIENCIA_DE_DATOS.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jpt4EVNlZBMi"
      },
      "source": [
        "# Link del dataset\n",
        "https://www.kaggle.com/datasets/yanmaksi/big-startup-secsees-fail-dataset-from-crunchbase\n",
        "![Captura.PNG](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Preguntas a responder**\n",
        "* ¿Existe un umbral de financiamiento que se asocie con la supervivencia de una startup?\n",
        "* ¿Existe una relación entre la supervivencia de la startup y el sector de la industria donde se maneja?\n",
        "* ¿Existe una relación con el número de rondas de financiamiento de una startup en su supervivencia?\n"
      ],
      "metadata": {
        "id": "8pbz8PuBauJp"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S9haTC8iuU8r"
      },
      "source": [
        "# **Procesamiento de datos**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "koPAsfXC4Xxy"
      },
      "source": [
        "**Librerías Usadas**\n",
        "* Pandas\n",
        "* IPython.display\n",
        "* Matplotlib\n",
        "* Scikit-learn\n",
        "* Statsmodels\n",
        "* Seaborn\n",
        "* Numpy\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "collapsed": true,
        "id": "yUo1wmAPpSCE",
        "outputId": "36b57165-4ccd-49c8-bddf-68ab9f81def9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                             permalink                    name  \\\n",
              "0                  /organization/-fame                   #fame   \n",
              "1               /organization/-qounter                :Qounter   \n",
              "2  /organization/-the-one-of-them-inc-  (THE) ONE of THEM,Inc.   \n",
              "3                /organization/0-6-com                 0-6.com   \n",
              "4       /organization/004-technologies        004 Technologies   \n",
              "\n",
              "                        homepage_url  \\\n",
              "0                 http://livfame.com   \n",
              "1             http://www.qounter.com   \n",
              "2                http://oneofthem.jp   \n",
              "3                 http://www.0-6.com   \n",
              "4  http://004gmbh.de/en/004-interact   \n",
              "\n",
              "                                       category_list funding_total_usd  \\\n",
              "0                                              Media          10000000   \n",
              "1  Application Platforms|Real Time|Social Network...            700000   \n",
              "2                                  Apps|Games|Mobile           3406878   \n",
              "3                                        Curated Web           2000000   \n",
              "4                                           Software                 -   \n",
              "\n",
              "      status country_code state_code                 region           city  \\\n",
              "0  operating          IND         16                 Mumbai         Mumbai   \n",
              "1  operating          USA         DE             DE - Other  Delaware City   \n",
              "2  operating          NaN        NaN                    NaN            NaN   \n",
              "3  operating          CHN         22                Beijing        Beijing   \n",
              "4  operating          USA         IL  Springfield, Illinois      Champaign   \n",
              "\n",
              "   funding_rounds  founded_at first_funding_at last_funding_at  \n",
              "0               1         NaN       2015-01-05      2015-01-05  \n",
              "1               2  2014-09-04       2014-03-01      2014-10-14  \n",
              "2               1         NaN       2014-01-30      2014-01-30  \n",
              "3               1  2007-01-01       2008-03-19      2008-03-19  \n",
              "4               1  2010-01-01       2014-07-24      2014-07-24  "
            ],
            "text/html": [
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              "<style scoped>\n",
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              "        vertical-align: middle;\n",
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              "      <th>permalink</th>\n",
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              "      <th>funding_rounds</th>\n",
              "      <th>founded_at</th>\n",
              "      <th>first_funding_at</th>\n",
              "      <th>last_funding_at</th>\n",
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              "      <th>0</th>\n",
              "      <td>/organization/-fame</td>\n",
              "      <td>#fame</td>\n",
              "      <td>http://livfame.com</td>\n",
              "      <td>Media</td>\n",
              "      <td>10000000</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>16</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2015-01-05</td>\n",
              "      <td>2015-01-05</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>700000</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>2</td>\n",
              "      <td>2014-09-04</td>\n",
              "      <td>2014-03-01</td>\n",
              "      <td>2014-10-14</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>3406878</td>\n",
              "      <td>operating</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2014-01-30</td>\n",
              "      <td>2014-01-30</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>2000000</td>\n",
              "      <td>operating</td>\n",
              "      <td>CHN</td>\n",
              "      <td>22</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>1</td>\n",
              "      <td>2007-01-01</td>\n",
              "      <td>2008-03-19</td>\n",
              "      <td>2008-03-19</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>-</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>IL</td>\n",
              "      <td>Springfield, Illinois</td>\n",
              "      <td>Champaign</td>\n",
              "      <td>1</td>\n",
              "      <td>2010-01-01</td>\n",
              "      <td>2014-07-24</td>\n",
              "      <td>2014-07-24</td>\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
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              "        document.querySelector('#df-a52cd67f-7144-4693-8f36-deede66251ab button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a52cd67f-7144-4693-8f36-deede66251ab');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
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              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ecb0f4f2-0556-4e34-b6ca-76f6c74934e1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
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              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "big_startup_secsees_og_df",
              "summary": "{\n  \"name\": \"big_startup_secsees_og_df\",\n  \"rows\": 66368,\n  \"fields\": [\n    {\n      \"column\": \"permalink\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 66368,\n        \"samples\": [\n          \"/organization/esoko\",\n          \"/organization/plansource-holdings\",\n          \"/organization/veteran-ventures-angel-network-2\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 66102,\n        \"samples\": [\n          \"SeeSaw Networks\",\n          \"Garmentory\",\n          \"Qool\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"homepage_url\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 61191,\n        \"samples\": [\n          \"http://www.myZeo.com\",\n          \"https://www.juhe.cn/\",\n          \"http://www.jollydeck.com/\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"category_list\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 27296,\n        \"samples\": [\n          \"Kids|Parenting|Technology\",\n          \"Entertainment|Games|Internet|Mobile|Technology\",\n          \"Health Care|Health Care Information Technology|Innovation Management\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"funding_total_usd\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 18896,\n        \"samples\": [\n          \"2547368\",\n          \"3970000\",\n          \"1118000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"status\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"acquired\",\n          \"ipo\",\n          \"operating\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"country_code\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 137,\n        \"samples\": [\n          \"LAO\",\n          \"TGO\",\n          \"KOR\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"state_code\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 311,\n        \"samples\": [\n          \"D5\",\n          \"NJ\",\n          \"P2\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"region\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1092,\n        \"samples\": [\n          \"Trowbridge\",\n          \"Lagos\",\n          \"Kanpur\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5111,\n        \"samples\": [\n          \"Tennessee\",\n          \"Fyshwick\",\n          \"West Chicago\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"funding_rounds\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 19,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          1,\n          5,\n          12\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"founded_at\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3978,\n        \"samples\": [\n          \"2010-04-18\",\n          \"1854-02-01\",\n          \"2009-12-07\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"first_funding_at\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4817,\n        \"samples\": [\n          \"2008-05-10\",\n          \"2001-11-05\",\n          \"2011-10-05\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"last_funding_at\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 4518,\n        \"samples\": [\n          \"1984-01-01\",\n          \"2009-02-17\",\n          \"2015-02-16\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Leer el archivo CSV directamente desde un enlace en GitHub\n",
        "big_startup_secsees_og_df = pd.read_csv('https://raw.githubusercontent.com/Pedro1Guevara/proyectofinalcd/master/big_startup_secsees.csv')\n",
        "\n",
        "# Mostrar las primeras 5 filas del DataFrame para revisar la estructura y contenido de los datos\n",
        "big_startup_secsees_og_df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GwGu-DZiiM6e"
      },
      "source": [
        "**Atributos**\n",
        " * permalink (string): Identificador único.\n",
        " * name (string): Nombre de la startup.\n",
        " * homepage_url (string): URL de la página web.\n",
        " * category_list (string): Categorías del negocio.\n",
        " * funding_total_usd (int): Monto total de financiamiento.\n",
        " * status (string): Estado operativo de la startup (operando, cerrado, etc.).\n",
        " * country_code (string): Código de país.\n",
        " * region, city (string): Localización geográfica.\n",
        " * funding_rounds (int): Número de rondas de financiamiento.\n",
        " * founded_at, first_funding_at, last_funding_at (dates): Fechas relacionadas con el inicio y financiamiento."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ht4oGXVBnTy6"
      },
      "source": [
        "**Limpieza de datos**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TgQS3wzei6Dz",
        "collapsed": true
      },
      "outputs": [],
      "source": [
        "from datetime import datetime\n",
        "\n",
        "# Crear una copia del dataset original\n",
        "big_startup_secsees_df = big_startup_secsees_og_df.copy()\n",
        "\n",
        "# Convertir 'funding_total_usd' a numérico y llenar nulos con 0\n",
        "big_startup_secsees_df['funding_total_usd'] = pd.to_numeric(big_startup_secsees_df['funding_total_usd'], errors='coerce').fillna(0)\n",
        "\n",
        "# Lista de columnas de fecha\n",
        "date_columns = ['founded_at', 'first_funding_at', 'last_funding_at']\n",
        "\n",
        "# Convertir columnas de fecha a tipo datetime\n",
        "for column in date_columns:\n",
        "    big_startup_secsees_df[column] = pd.to_datetime(big_startup_secsees_df[column], errors='coerce')\n",
        "\n",
        "# Obtener la fecha actual\n",
        "current_date = datetime.now()\n",
        "\n",
        "# Corregir valores en las columnas de fecha fuera de rango\n",
        "for column in date_columns:\n",
        "    big_startup_secsees_df[column] = big_startup_secsees_df[column].apply(\n",
        "        lambda x: datetime(1960, 1, 1) if x and x.year < 1960 else\n",
        "                  current_date if x and x > current_date else x\n",
        "    )\n",
        "\n",
        "# Copiar valores de 'last_funding_at' a 'first_funding_at' y 'founded_at' si están vacíos\n",
        "big_startup_secsees_df['first_funding_at'] = big_startup_secsees_df.apply(\n",
        "    lambda row: row['last_funding_at'] if pd.isnull(row['first_funding_at']) else row['first_funding_at'], axis=1\n",
        ")\n",
        "\n",
        "big_startup_secsees_df['founded_at'] = big_startup_secsees_df.apply(\n",
        "    lambda row: row['last_funding_at'] if pd.isnull(row['founded_at']) else row['founded_at'], axis=1\n",
        ")\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7lCxxU5gkU31",
        "collapsed": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 523
        },
        "outputId": "cbcaea13-6b87-4748-f1ee-586d089cfb28"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "permalink               0\n",
              "name                    1\n",
              "homepage_url         5058\n",
              "category_list        3148\n",
              "funding_total_usd       0\n",
              "status                  0\n",
              "country_code         6958\n",
              "state_code           8547\n",
              "region                  9\n",
              "city                 8028\n",
              "funding_rounds          0\n",
              "founded_at              0\n",
              "first_funding_at        0\n",
              "last_funding_at         0\n",
              "dtype: int64"
            ],
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              "</div><br><label><b>dtype:</b> int64</label>"
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          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "# Crear un mapeo entre 'country_code' y 'region' utilizando el primer valor no nulo para cada grupo\n",
        "region_mapping = big_startup_secsees_df.groupby('country_code')['region'].first().to_dict()\n",
        "\n",
        "# Rellenar valores nulos en 'region' utilizando el mapeo creado\n",
        "# Si 'region' es nulo, se busca el valor correspondiente a 'country_code' en el diccionario\n",
        "# Si no existe un mapeo, se asigna 'unknown'\n",
        "big_startup_secsees_df['region'] = big_startup_secsees_df.apply(\n",
        "    lambda row: region_mapping.get(row['country_code'], 'unknown') if pd.isnull(row['region']) else row['region'],\n",
        "    axis=1\n",
        ")\n",
        "\n",
        "# Crear un mapeo entre 'region' y 'country_code' utilizando el primer valor no nulo para cada grupo\n",
        "country_code_mapping = big_startup_secsees_df.groupby('region')['country_code'].first().to_dict()\n",
        "\n",
        "# Rellenar valores nulos en 'country_code' utilizando el mapeo creado\n",
        "# Si 'country_code' es nulo, se busca el valor correspondiente a 'region' en el diccionario\n",
        "# Si no existe un mapeo, se asigna 'unknown'\n",
        "big_startup_secsees_df['country_code'] = big_startup_secsees_df.apply(\n",
        "    lambda row: country_code_mapping.get(row['region'], 'unknown') if pd.isnull(row['country_code']) else row['country_code'],\n",
        "    axis=1\n",
        ")\n",
        "\n",
        "# Contar valores nulos actualizados después de completar los valores de 'region' y 'country_code'\n",
        "updated_null_counts = big_startup_secsees_df.isnull().sum()\n",
        "\n",
        "# Mostrar el conteo actualizado de valores nulos en el dataset\n",
        "updated_null_counts\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lkI4khkWmWg3",
        "collapsed": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "4fb887cf-08d1-481e-823e-2dd41333b80f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Valores nulos actualizados por columna:\n",
            "permalink               0\n",
            "name                    1\n",
            "homepage_url         5058\n",
            "category_list        3148\n",
            "funding_total_usd       0\n",
            "status                  0\n",
            "country_code         6958\n",
            "state_code           8547\n",
            "region                  9\n",
            "city                    7\n",
            "funding_rounds          0\n",
            "founded_at              0\n",
            "first_funding_at        0\n",
            "last_funding_at         0\n",
            "dtype: int64\n",
            "\n",
            "Vista previa del DataFrame actualizado:\n"
          ]
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        {
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          "data": {
            "text/plain": [
              "                             permalink                    name  \\\n",
              "0                  /organization/-fame                   #fame   \n",
              "1               /organization/-qounter                :Qounter   \n",
              "2  /organization/-the-one-of-them-inc-  (THE) ONE of THEM,Inc.   \n",
              "3                /organization/0-6-com                 0-6.com   \n",
              "4       /organization/004-technologies        004 Technologies   \n",
              "\n",
              "                        homepage_url  \\\n",
              "0                 http://livfame.com   \n",
              "1             http://www.qounter.com   \n",
              "2                http://oneofthem.jp   \n",
              "3                 http://www.0-6.com   \n",
              "4  http://004gmbh.de/en/004-interact   \n",
              "\n",
              "                                       category_list  funding_total_usd  \\\n",
              "0                                              Media         10000000.0   \n",
              "1  Application Platforms|Real Time|Social Network...           700000.0   \n",
              "2                                  Apps|Games|Mobile          3406878.0   \n",
              "3                                        Curated Web          2000000.0   \n",
              "4                                           Software                0.0   \n",
              "\n",
              "      status country_code state_code                 region           city  \\\n",
              "0  operating          IND         16                 Mumbai         Mumbai   \n",
              "1  operating          USA         DE             DE - Other  Delaware City   \n",
              "2  operating         None        NaN                unknown        unknown   \n",
              "3  operating          CHN         22                Beijing        Beijing   \n",
              "4  operating          USA         IL  Springfield, Illinois      Champaign   \n",
              "\n",
              "   funding_rounds founded_at first_funding_at last_funding_at  \n",
              "0               1 2015-01-05       2015-01-05      2015-01-05  \n",
              "1               2 2014-09-04       2014-03-01      2014-10-14  \n",
              "2               1 2014-01-30       2014-01-30      2014-01-30  \n",
              "3               1 2007-01-01       2008-03-19      2008-03-19  \n",
              "4               1 2010-01-01       2014-07-24      2014-07-24  "
            ],
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              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2054cc63-95da-4666-9378-3c197258ac14 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"display(big_startup_secsees_df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"permalink\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"/organization/-qounter\",\n          \"/organization/004-technologies\",\n          \"/organization/-the-one-of-them-inc-\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \":Qounter\",\n          \"004 Technologies\",\n          \"(THE) ONE of THEM,Inc.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"homepage_url\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"http://www.qounter.com\",\n          \"http://004gmbh.de/en/004-interact\",\n          \"http://oneofthem.jp\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"category_list\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Application Platforms|Real Time|Social Network Media\",\n          \"Software\",\n          \"Apps|Games|Mobile\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"funding_total_usd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4006573.1593690887,\n        \"min\": 0.0,\n        \"max\": 10000000.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          700000.0,\n          0.0,\n          3406878.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"status\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"operating\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"country_code\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"IND\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"state_code\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"DE\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"region\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"DE - Other\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Delaware City\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"funding_rounds\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"founded_at\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2007-01-01 00:00:00\",\n        \"max\": \"2015-01-05 00:00:00\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"2014-09-04 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"first_funding_at\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2008-03-19 00:00:00\",\n        \"max\": \"2015-01-05 00:00:00\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"2014-03-01 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"last_funding_at\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2008-03-19 00:00:00\",\n        \"max\": \"2015-01-05 00:00:00\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"2014-10-14 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Crear un mapeo entre 'country_code' y 'city' utilizando el primer valor no nulo para cada grupo\n",
        "city_mapping = big_startup_secsees_df.groupby('country_code')['city'].first().to_dict()\n",
        "\n",
        "# Rellenar valores nulos en 'city' utilizando el mapeo creado\n",
        "# Si 'city' es nulo, se busca el valor correspondiente a 'country_code' en el diccionario\n",
        "# Si no existe un mapeo, se asigna 'unknown'\n",
        "big_startup_secsees_df['city'] = big_startup_secsees_df.apply(\n",
        "    lambda row: city_mapping.get(row['country_code'], 'unknown') if pd.isnull(row['city']) else row['city'],\n",
        "    axis=1\n",
        ")\n",
        "\n",
        "# Crear un mapeo entre 'city' y 'country_code' utilizando el primer valor no nulo para cada grupo\n",
        "country_code_mapping = big_startup_secsees_df.groupby('city')['country_code'].first().to_dict()\n",
        "\n",
        "# Rellenar valores nulos en 'country_code' utilizando el mapeo creado\n",
        "# Si 'country_code' es nulo, se busca el valor correspondiente a 'city' en el diccionario\n",
        "# Si no existe un mapeo, se asigna 'unknown'\n",
        "big_startup_secsees_df['country_code'] = big_startup_secsees_df.apply(\n",
        "    lambda row: country_code_mapping.get(row['city'], 'unknown') if pd.isnull(row['country_code']) else row['country_code'],\n",
        "    axis=1\n",
        ")\n",
        "\n",
        "# Contar valores nulos actualizados después de completar los valores de 'city' y 'country_code'\n",
        "updated_null_counts = big_startup_secsees_df.isnull().sum()\n",
        "\n",
        "# Mostrar el conteo actualizado de valores nulos en el dataset\n",
        "print(\"Valores nulos actualizados por columna:\")\n",
        "print(updated_null_counts)\n",
        "\n",
        "# Mostrar las primeras filas del DataFrame para verificar los cambios realizados\n",
        "print(\"\\nVista previa del DataFrame actualizado:\")\n",
        "display(big_startup_secsees_df.head())"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Si el valor es nulo, se reemplaza con 'No URL' para indicar que no hay una URL disponible\n",
        "big_startup_secsees_df['homepage_url'].fillna('No URL', inplace=True)"
      ],
      "metadata": {
        "collapsed": true,
        "id": "6zxzdNhdsuRV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "da9097cd-a244-4c9c-cfcd-81de1115b4f4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-9-1dd1d25eac02>:2: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
            "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
            "\n",
            "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
            "\n",
            "\n",
            "  big_startup_secsees_df['homepage_url'].fillna('No URL', inplace=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Si el valor es nulo, se reemplaza con 'No Category' para indicar que no hay categoría disponible\n",
        "big_startup_secsees_df['category_list'].fillna('No Category', inplace=True)"
      ],
      "metadata": {
        "id": "XWp5Zi0Dt4Lp",
        "collapsed": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e19cb046-1523-4cd3-cf71-499ded79e174"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-10-bb35138cd5e9>:2: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
            "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
            "\n",
            "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
            "\n",
            "\n",
            "  big_startup_secsees_df['category_list'].fillna('No Category', inplace=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Si el valor es nulo, se reemplaza con 'Unknown' para indicar que no se tiene un código de estado\n",
        "big_startup_secsees_df['state_code'].fillna('Unknown', inplace=True)"
      ],
      "metadata": {
        "collapsed": true,
        "id": "zWMEflKxPOxp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9fe29771-b0da-443d-b674-b0a79827c337"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-11-ea61a1f9db25>:2: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
            "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
            "\n",
            "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
            "\n",
            "\n",
            "  big_startup_secsees_df['state_code'].fillna('Unknown', inplace=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Configurar la visualización de pandas para números con dos decimales\n",
        "pd.set_option(\"display.float\", \"{:.2f}\".format)\n",
        "\n",
        "# Calcular el porcentaje de nulos por columna en ambos datasets\n",
        "original_nulls = big_startup_secsees_og_df.isnull().mean() * 100\n",
        "current_nulls = big_startup_secsees_df.isnull().mean() * 100\n",
        "\n",
        "# Crear un DataFrame comparativo\n",
        "null_comparison = pd.DataFrame({\n",
        "    'Column': original_nulls.index,\n",
        "    'Original Nulls (%)': original_nulls.values,\n",
        "    'Current Nulls (%)': current_nulls.values\n",
        "}).sort_values(by='Original Nulls (%)', ascending=False)\n",
        "\n",
        "# Mostrar la tabla comparativa\n",
        "print(\"Comparación del porcentaje de valores nulos entre el dataset original y el actual:\")\n",
        "print(null_comparison)\n"
      ],
      "metadata": {
        "collapsed": true,
        "id": "VfmlbexbtGXI",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d2c2112e-fc0a-456d-d792-7aef562f4c50"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Comparación del porcentaje de valores nulos entre el dataset original y el actual:\n",
            "               Column  Original Nulls (%)  Current Nulls (%)\n",
            "11         founded_at               22.93               0.00\n",
            "7          state_code               12.88               0.00\n",
            "8              region               12.10               0.01\n",
            "9                city               12.10               0.01\n",
            "6        country_code               10.48              10.48\n",
            "2        homepage_url                7.62               0.00\n",
            "3       category_list                4.74               0.00\n",
            "12   first_funding_at                0.04               0.00\n",
            "1                name                0.00               0.00\n",
            "0           permalink                0.00               0.00\n",
            "4   funding_total_usd                0.00               0.00\n",
            "5              status                0.00               0.00\n",
            "10     funding_rounds                0.00               0.00\n",
            "13    last_funding_at                0.00               0.00\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dkK4gF6bjAL9"
      },
      "source": [
        "# **EDA**"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Mostrar un resumen estadístico de las columnas numéricas del DataFrame\n",
        "print(big_startup_secsees_df.describe())\n",
        "\n",
        "# Mostrar las primeras filas del DataFrame para revisar los datos\n",
        "display(big_startup_secsees_df.head())\n",
        "\n",
        "# Imprimir la forma del DataFrame: número de filas y columnas\n",
        "print(big_startup_secsees_df.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 554
        },
        "id": "QQ-kKRYopo4T",
        "outputId": "a28351a5-0074-4f46-d2dd-6c03cec1c9cc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "       funding_total_usd  funding_rounds                     founded_at  \\\n",
            "count           66368.00        66368.00                          66368   \n",
            "mean         14918922.37            1.73  2008-12-28 10:45:25.456290304   \n",
            "min                 0.00            1.00            1960-01-01 00:00:00   \n",
            "25%             40000.00            1.00            2007-01-01 00:00:00   \n",
            "50%           1000000.00            1.00            2011-01-01 00:00:00   \n",
            "75%           6800473.25            2.00            2013-02-25 00:00:00   \n",
            "max       30079503000.00           19.00     2024-11-29 23:19:30.771352   \n",
            "std         169092980.43            1.36                            NaN   \n",
            "\n",
            "                    first_funding_at                last_funding_at  \n",
            "count                          66368                          66368  \n",
            "mean   2011-07-20 19:46:37.203471616  2012-06-25 23:05:44.044442112  \n",
            "min              1960-01-01 00:00:00            1971-01-01 00:00:00  \n",
            "25%              2009-10-23 00:00:00            2011-02-01 00:00:00  \n",
            "50%              2012-08-01 00:00:00            2013-09-01 00:00:00  \n",
            "75%              2014-04-02 00:00:00            2014-11-17 00:00:00  \n",
            "max              2015-12-05 00:00:00     2024-11-29 23:19:30.771352  \n",
            "std                              NaN                            NaN  \n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                             permalink                    name  \\\n",
              "0                  /organization/-fame                   #fame   \n",
              "1               /organization/-qounter                :Qounter   \n",
              "2  /organization/-the-one-of-them-inc-  (THE) ONE of THEM,Inc.   \n",
              "3                /organization/0-6-com                 0-6.com   \n",
              "4       /organization/004-technologies        004 Technologies   \n",
              "\n",
              "                        homepage_url  \\\n",
              "0                 http://livfame.com   \n",
              "1             http://www.qounter.com   \n",
              "2                http://oneofthem.jp   \n",
              "3                 http://www.0-6.com   \n",
              "4  http://004gmbh.de/en/004-interact   \n",
              "\n",
              "                                       category_list  funding_total_usd  \\\n",
              "0                                              Media        10000000.00   \n",
              "1  Application Platforms|Real Time|Social Network...          700000.00   \n",
              "2                                  Apps|Games|Mobile         3406878.00   \n",
              "3                                        Curated Web         2000000.00   \n",
              "4                                           Software               0.00   \n",
              "\n",
              "      status country_code state_code                 region           city  \\\n",
              "0  operating          IND         16                 Mumbai         Mumbai   \n",
              "1  operating          USA         DE             DE - Other  Delaware City   \n",
              "2  operating         None    Unknown                unknown        unknown   \n",
              "3  operating          CHN         22                Beijing        Beijing   \n",
              "4  operating          USA         IL  Springfield, Illinois      Champaign   \n",
              "\n",
              "   funding_rounds founded_at first_funding_at last_funding_at  \n",
              "0               1 2015-01-05       2015-01-05      2015-01-05  \n",
              "1               2 2014-09-04       2014-03-01      2014-10-14  \n",
              "2               1 2014-01-30       2014-01-30      2014-01-30  \n",
              "3               1 2007-01-01       2008-03-19      2008-03-19  \n",
              "4               1 2010-01-01       2014-07-24      2014-07-24  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-06425d07-8591-4d2d-9bb4-a5548d9013e8\" class=\"colab-df-container\">\n",
              "    <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>funding_total_usd</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>funding_rounds</th>\n",
              "      <th>founded_at</th>\n",
              "      <th>first_funding_at</th>\n",
              "      <th>last_funding_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>10000000.00</td>\n",
              "      <td>operating</td>\n",
              "      <td>IND</td>\n",
              "      <td>16</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>1</td>\n",
              "      <td>2015-01-05</td>\n",
              "      <td>2015-01-05</td>\n",
              "      <td>2015-01-05</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>700000.00</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>2</td>\n",
              "      <td>2014-09-04</td>\n",
              "      <td>2014-03-01</td>\n",
              "      <td>2014-10-14</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>3406878.00</td>\n",
              "      <td>operating</td>\n",
              "      <td>None</td>\n",
              "      <td>Unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>unknown</td>\n",
              "      <td>1</td>\n",
              "      <td>2014-01-30</td>\n",
              "      <td>2014-01-30</td>\n",
              "      <td>2014-01-30</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>2000000.00</td>\n",
              "      <td>operating</td>\n",
              "      <td>CHN</td>\n",
              "      <td>22</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>Beijing</td>\n",
              "      <td>1</td>\n",
              "      <td>2007-01-01</td>\n",
              "      <td>2008-03-19</td>\n",
              "      <td>2008-03-19</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>0.00</td>\n",
              "      <td>operating</td>\n",
              "      <td>USA</td>\n",
              "      <td>IL</td>\n",
              "      <td>Springfield, Illinois</td>\n",
              "      <td>Champaign</td>\n",
              "      <td>1</td>\n",
              "      <td>2010-01-01</td>\n",
              "      <td>2014-07-24</td>\n",
              "      <td>2014-07-24</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"print(big_startup_secsees_df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"permalink\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"/organization/-qounter\",\n          \"/organization/004-technologies\",\n          \"/organization/-the-one-of-them-inc-\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \":Qounter\",\n          \"004 Technologies\",\n          \"(THE) ONE of THEM,Inc.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"homepage_url\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"http://www.qounter.com\",\n          \"http://004gmbh.de/en/004-interact\",\n          \"http://oneofthem.jp\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"category_list\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Application Platforms|Real Time|Social Network Media\",\n          \"Software\",\n          \"Apps|Games|Mobile\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"funding_total_usd\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4006573.1593690887,\n        \"min\": 0.0,\n        \"max\": 10000000.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          700000.0,\n          0.0,\n          3406878.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"status\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"operating\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"country_code\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"IND\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"state_code\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"DE\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"region\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"DE - Other\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Delaware City\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"funding_rounds\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"founded_at\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2007-01-01 00:00:00\",\n        \"max\": \"2015-01-05 00:00:00\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"2014-09-04 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"first_funding_at\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2008-03-19 00:00:00\",\n        \"max\": \"2015-01-05 00:00:00\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"2014-03-01 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"last_funding_at\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2008-03-19 00:00:00\",\n        \"max\": \"2015-01-05 00:00:00\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"2014-10-14 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(66368, 14)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Distribución de las 10 Categorias más Populares**"
      ],
      "metadata": {
        "id": "T8Q5Kx9vyiMC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calcular las 10 categorías más frecuentes en la columna 'category_list'\n",
        "top_categories = big_startup_secsees_df['category_list'].value_counts().head(10)\n",
        "\n",
        "# Configurar el gráfico de pastel\n",
        "plt.figure(figsize=(8, 8))  # Tamaño del gráfico\n",
        "top_categories.plot(\n",
        "    kind='pie',  # Tipo de gráfico\n",
        "    autopct='%1.1f%%',  # Mostrar porcentajes en cada sección\n",
        "    colors=plt.cm.Paired.colors,  # Colores del gráfico\n",
        "    startangle=90,  # Iniciar el gráfico desde el ángulo 90°\n",
        "    wedgeprops={'edgecolor': 'black'}  # Agregar borde negro a las secciones\n",
        ")\n",
        "\n",
        "# Configurar título y eliminar etiqueta del eje Y\n",
        "plt.title('Distribución de las 10 Categorías más Populares', fontsize=16)\n",
        "plt.ylabel('')  # Eliminar etiqueta del eje Y\n",
        "plt.show()  # Mostrar el gráfico"
      ],
      "metadata": {
        "collapsed": true,
        "id": "Nt2LM_lonzYU",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 678
        },
        "outputId": "4f33aed2-1fb8-4b39-9945-89d00ea96104"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Distribución de Status de Startups**"
      ],
      "metadata": {
        "id": "RBPdorl4yaI1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calcular las frecuencias de cada valor en la columna 'status'\n",
        "status_counts = big_startup_secsees_df['status'].value_counts()\n",
        "\n",
        "# Configurar el gráfico de pastel\n",
        "plt.figure(figsize=(8, 8))  # Tamaño del gráfico\n",
        "status_counts.plot(\n",
        "    kind='pie',  # Tipo de gráfico\n",
        "    autopct='%1.1f%%',  # Mostrar porcentajes en cada sección\n",
        "    colors=['lightblue', 'orange', 'green', 'skyblue'],  # Colores personalizados para cada estado\n",
        "    startangle=90,  # Iniciar el gráfico desde el ángulo 90°\n",
        "    wedgeprops={'edgecolor': 'white'}  # Agregar borde blanco a las secciones\n",
        ")\n",
        "\n",
        "# Configurar título y eliminar etiqueta del eje Y\n",
        "plt.title('Distribución de Status de Startups', fontsize=16)\n",
        "plt.ylabel('')  # Eliminar etiqueta del eje Y\n",
        "plt.show()  # Mostrar el gráfico"
      ],
      "metadata": {
        "collapsed": true,
        "id": "kGGQ51ctusMK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 678
        },
        "outputId": "65198040-fad1-4248-b3b5-7e8214a218f7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Rondas de Financiamiento vs Financiamiento Total**"
      ],
      "metadata": {
        "id": "cnIGky-HMWC_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Importar la librería Matplotlib para visualización\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Configurar el gráfico de dispersión\n",
        "plt.figure(figsize=(10, 6))  # Tamaño del gráfico\n",
        "\n",
        "# Crear un gráfico de dispersión con los datos de rondas de financiamiento y financiamiento total\n",
        "plt.scatter(\n",
        "    big_startup_secsees_df['funding_rounds'],  # Eje X: Número de rondas de financiamiento\n",
        "    big_startup_secsees_df['funding_total_usd'] / 1e6,  # Eje Y: Financiamiento total en millones de USD\n",
        "    alpha=0.5,  # Transparencia de los puntos para mejorar la legibilidad\n",
        "    edgecolor='k'  # Borde negro para los puntos\n",
        ")\n",
        "\n",
        "# Configurar el título y etiquetas de los ejes\n",
        "plt.title('Gráfico de Dispersión: Rondas de Financiamiento vs Financiamiento Total', fontsize=16)\n",
        "plt.xlabel('Número de Rondas de Financiamiento', fontsize=14)\n",
        "plt.ylabel('Financiamiento Total (Millones de USD)', fontsize=14)\n",
        "\n",
        "# Añadir una cuadrícula para facilitar la lectura del gráfico\n",
        "plt.grid(True, linestyle='--', alpha=0.7)\n",
        "\n",
        "# Mostrar el gráfico\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "_AjyxBW4LJpm",
        "outputId": "f2ba9d40-75d3-4066-9642-ecdcdaf6859e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Distribución de las 10 Regiones más Populares**"
      ],
      "metadata": {
        "id": "Ac6OxAu1xz7q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calcular las 10 regiones más frecuentes en la columna 'region'\n",
        "top_cities = big_startup_secsees_df['region'].value_counts().head(10)\n",
        "\n",
        "# Configurar el gráfico de pastel\n",
        "plt.figure(figsize=(8, 8))  # Tamaño del gráfico\n",
        "top_cities.plot(\n",
        "    kind='pie',  # Tipo de gráfico\n",
        "    autopct='%1.1f%%',  # Mostrar porcentajes en cada sección\n",
        "    colors=plt.cm.Paired.colors,  # Usar una paleta de colores predefinida\n",
        "    startangle=90,  # Iniciar el gráfico desde el ángulo 90°\n",
        "    wedgeprops={'edgecolor': 'black'}  # Agregar borde negro a las secciones\n",
        ")\n",
        "\n",
        "# Configurar título y eliminar etiqueta del eje Y\n",
        "plt.title('Distribución de las 10 Regiones más Populares', fontsize=16)\n",
        "plt.ylabel('')  # Eliminar etiqueta del eje Y\n",
        "plt.show()  # Mostrar el gráfico"
      ],
      "metadata": {
        "collapsed": true,
        "id": "hUxJFNF-z9U2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 678
        },
        "outputId": "0d243186-9204-46bd-8f20-d61ba51abc9a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Top 10 Empresas con Mayor Número de Rondas de Financiamiento**"
      ],
      "metadata": {
        "id": "hItfCDwKxcdb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Importar la librería Matplotlib para visualización\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calcular las 10 empresas con el mayor número de rondas de financiamiento\n",
        "top_companies = big_startup_secsees_df.groupby('name')['funding_rounds'].max().nlargest(10)\n",
        "\n",
        "# Configurar el gráfico de barras\n",
        "plt.figure(figsize=(10, 6))  # Tamaño del gráfico\n",
        "top_companies.plot(\n",
        "    kind='bar',  # Tipo de gráfico\n",
        "    color='skyblue'  # Color de las barras\n",
        ")\n",
        "\n",
        "# Configurar título y etiquetas de los ejes\n",
        "plt.title('Top 10 Empresas con Mayor Número de Rondas de Financiamiento', fontsize=16)\n",
        "plt.xlabel('Nombre de la Empresa', fontsize=14)\n",
        "plt.ylabel('Número de Rondas de Financiamiento', fontsize=14)\n",
        "\n",
        "# Rotar las etiquetas del eje X para mejor legibilidad\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "\n",
        "# Ajustar las marcas en el eje Y\n",
        "plt.yticks(ticks=range(0, int(top_companies.max()) + 1))\n",
        "\n",
        "# Ajustar automáticamente el diseño para evitar superposiciones\n",
        "plt.tight_layout()\n",
        "\n",
        "# Mostrar el gráfico\n",
        "plt.show()\n"
      ],
      "metadata": {
        "collapsed": true,
        "id": "tfiE4wg00i2Y",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "outputId": "15b8c6d5-2ba1-46e8-85c0-4e269852d33a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Region con mas financiamiento vs su financiamiento total**"
      ],
      "metadata": {
        "id": "aESPgablxjek"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Agrupar por región y calcular el financiamiento total, luego convertir a millones de dólares\n",
        "top_regions = big_startup_secsees_df.groupby('region')['funding_total_usd'].sum().nlargest(10) / 1_000_000\n",
        "\n",
        "# Crear el gráfico de barras\n",
        "plt.figure(figsize=(10, 6))\n",
        "top_regions.plot(kind='bar', color='skyblue')\n",
        "\n",
        "# Personalizar el gráfico\n",
        "plt.title('Top 10 Regiones con Mayor Financiamiento Total', fontsize=16)\n",
        "plt.xlabel('Región', fontsize=14)\n",
        "plt.ylabel('Financiamiento Total (Millones de USD)', fontsize=14)\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "plt.tight_layout()\n",
        "\n",
        "# Mostrar el gráfico\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "_Nd6pl0noQ5e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "outputId": "9a84642f-74f5-4bb0-ea05-b1d69da3f335"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calcular las 10 empresas con el mayor número de rondas de financiamiento\n",
        "top_companies = big_startup_secsees_df.groupby('name')['funding_rounds'].max().nlargest(10)\n",
        "\n",
        "# Configurar el gráfico de barras\n",
        "plt.figure(figsize=(10, 6))  # Tamaño del gráfico\n",
        "top_companies.plot(\n",
        "    kind='bar',  # Tipo de gráfico\n",
        "    color='skyblue'  # Color de las barras\n",
        ")\n",
        "\n",
        "# Configurar título y etiquetas de los ejes\n",
        "plt.title('Top 10 Empresas con Mayor Número de Rondas de Financiamiento', fontsize=16)\n",
        "plt.xlabel('Nombre de la Empresa', fontsize=14)\n",
        "plt.ylabel('Número de Rondas de Financiamiento', fontsize=14)\n",
        "\n",
        "# Rotar las etiquetas del eje X para mejor legibilidad\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "\n",
        "# Ajustar las marcas en el eje Y\n",
        "plt.yticks(ticks=range(0, int(top_companies.max()) + 1))\n",
        "\n",
        "# Ajustar automáticamente el diseño para evitar superposiciones\n",
        "plt.tight_layout()\n",
        "\n",
        "# Mostrar el gráfico\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "u82qMfKiY6nV",
        "outputId": "779ba06f-3f09-44f4-a449-e017d3e11d84"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Importar la librería Matplotlib para visualización\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calcular las 10 empresas con el mayor número de rondas de financiamiento\n",
        "top_companies = big_startup_secsees_df.groupby('name')['funding_rounds'].max().nlargest(10)\n",
        "\n",
        "# Configurar el gráfico de barras\n",
        "plt.figure(figsize=(10, 6))  # Tamaño del gráfico\n",
        "top_companies.plot(\n",
        "    kind='bar',  # Tipo de gráfico\n",
        "    color='skyblue'  # Color de las barras\n",
        ")\n",
        "\n",
        "# Configurar título y etiquetas de los ejes\n",
        "plt.title('Top 10 Empresas con Mayor Número de Rondas de Financiamiento', fontsize=16)\n",
        "plt.xlabel('Nombre de la Empresa', fontsize=14)\n",
        "plt.ylabel('Número de Rondas de Financiamiento', fontsize=14)\n",
        "\n",
        "# Rotar las etiquetas del eje X para mejor legibilidad\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "\n",
        "# Ajustar las marcas en el eje Y\n",
        "plt.yticks(ticks=range(0, int(top_companies.max()) + 1))\n",
        "\n",
        "# Ajustar automáticamente el diseño para evitar superposiciones\n",
        "plt.tight_layout()\n",
        "\n",
        "# Mostrar el gráfico\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "uou_5bY0HBlj",
        "outputId": "9ed88edf-f9ca-4ffa-d931-73ec061ff703"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Estadistica Inferencial**"
      ],
      "metadata": {
        "id": "ZfuFkXeHxoQ5"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Pregunta 1: Regresión Logística**"
      ],
      "metadata": {
        "id": "xaCrC2vH09lB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "!pip install statsmodels\n",
        "import statsmodels.api as sm\n",
        "\n",
        "# Formulación de hipótesis:\n",
        "# H0 (Hipótesis nula): No hay correlación significativa entre el financiamiento recibido y la supervivencia de la startup.\n",
        "# H1 (Hipótesis alternativa): Existe una correlación significativa entre el financiamiento recibido y la supervivencia de la startup.\n",
        "\n",
        "# Preprocesamiento de datos\n",
        "# Convertir 'ipo' y 'acquired' a 'operating' en la columna 'status'\n",
        "big_startup_secsees_df['status'] = big_startup_secsees_df['status'].replace({'ipo': 'operating', 'acquired': 'operating'})\n",
        "\n",
        "# Eliminar filas con financiamiento igual a 0\n",
        "filtered_df = big_startup_secsees_df[big_startup_secsees_df['funding_total_usd'] > 0]\n",
        "\n",
        "# Crear una nueva columna binaria para indicar supervivencia: 1 (operating), 0 (closed)\n",
        "filtered_df['survival'] = filtered_df['status'].apply(lambda x: 1 if x == 'operating' else 0)\n",
        "\n",
        "# Variables para el modelo logístico\n",
        "X = filtered_df['funding_total_usd']  # Variable independiente (dinero de financiamiento)\n",
        "y = filtered_df['survival']          # Variable dependiente (supervivencia)\n",
        "\n",
        "# Agregar una constante para la regresión logística\n",
        "X = sm.add_constant(X)\n",
        "\n",
        "# Ajustar el modelo de regresión logística\n",
        "logit_model = sm.Logit(y, X)\n",
        "result = logit_model.fit()\n",
        "\n",
        "# Imprimir el resumen del modelo\n",
        "print(result.summary())\n",
        "\n",
        "# Interpretación del resultado\n",
        "p_value = result.pvalues['funding_total_usd']  # Valor p del coeficiente de financiamiento\n",
        "coef = result.params['funding_total_usd']  # Coeficiente de financiamiento\n",
        "\n",
        "print(\"\\nInterpretación:\")\n",
        "if p_value < 0.05:\n",
        "    print(f\"El valor p ({p_value:.4f}) es menor a 0.05, por lo que se rechaza la hipótesis nula (H0).\")\n",
        "    print(\"Esto indica que existe una correlación significativa entre el financiamiento recibido y la supervivencia de las startups.\")\n",
        "    if coef > 0:\n",
        "        print(f\"El coeficiente positivo ({coef:.4f}) sugiere que un mayor financiamiento está asociado con una mayor probabilidad de supervivencia.\")\n",
        "    else:\n",
        "        print(f\"El coeficiente negativo ({coef:.4f}) sugiere que un mayor financiamiento está asociado con una menor probabilidad de supervivencia.\")\n",
        "else:\n",
        "    print(f\"El valor p ({p_value:.4f}) es mayor o igual a 0.05, por lo que no se puede rechazar la hipótesis nula (H0).\")\n",
        "    print(\"Esto indica que no hay suficiente evidencia para concluir que existe una correlación significativa entre el financiamiento recibido y la supervivencia de las startups.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n0t72vcyx4Zh",
        "outputId": "9a934107-c39a-4ec7-cbfb-e70eb6407f45"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: statsmodels in /usr/local/lib/python3.10/dist-packages (0.14.4)\n",
            "Requirement already satisfied: numpy<3,>=1.22.3 in /usr/local/lib/python3.10/dist-packages (from statsmodels) (1.26.4)\n",
            "Requirement already satisfied: scipy!=1.9.2,>=1.8 in /usr/local/lib/python3.10/dist-packages (from statsmodels) (1.13.1)\n",
            "Requirement already satisfied: pandas!=2.1.0,>=1.4 in /usr/local/lib/python3.10/dist-packages (from statsmodels) (2.2.2)\n",
            "Requirement already satisfied: patsy>=0.5.6 in /usr/local/lib/python3.10/dist-packages (from statsmodels) (1.0.1)\n",
            "Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.10/dist-packages (from statsmodels) (24.2)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2024.2)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas!=2.1.0,>=1.4->statsmodels) (2024.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas!=2.1.0,>=1.4->statsmodels) (1.16.0)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-22-1319ed582f21>:17: 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",
            "  filtered_df['survival'] = filtered_df['status'].apply(lambda x: 1 if x == 'operating' else 0)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Optimization terminated successfully.\n",
            "         Current function value: 0.305797\n",
            "         Iterations 8\n",
            "                           Logit Regression Results                           \n",
            "==============================================================================\n",
            "Dep. Variable:               survival   No. Observations:                53583\n",
            "Model:                          Logit   Df Residuals:                    53581\n",
            "Method:                           MLE   Df Model:                            1\n",
            "Date:                Fri, 29 Nov 2024   Pseudo R-squ.:                0.001924\n",
            "Time:                        23:47:16   Log-Likelihood:                -16386.\n",
            "converged:                       True   LL-Null:                       -16417.\n",
            "Covariance Type:            nonrobust   LLR p-value:                 1.909e-15\n",
            "=====================================================================================\n",
            "                        coef    std err          z      P>|z|      [0.025      0.975]\n",
            "-------------------------------------------------------------------------------------\n",
            "const                 2.2527      0.016    141.327      0.000       2.221       2.284\n",
            "funding_total_usd  3.097e-09   4.92e-10      6.296      0.000    2.13e-09    4.06e-09\n",
            "=====================================================================================\n",
            "\n",
            "Interpretación:\n",
            "El valor p (0.0000) es menor a 0.05, por lo que se rechaza la hipótesis nula (H0).\n",
            "Esto indica que existe una correlación significativa entre el financiamiento recibido y la supervivencia de las startups.\n",
            "El coeficiente positivo (0.0000) sugiere que un mayor financiamiento está asociado con una mayor probabilidad de supervivencia.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Pregunta 2: ANOVA**"
      ],
      "metadata": {
        "id": "Tlva7JLo1ekx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "from scipy.stats import f_oneway\n",
        "from statsmodels.stats.multicomp import pairwise_tukeyhsd\n",
        "# Eliminar valores nulos en funding_total_usd y filtrar los sectores principales\n",
        "big_startup_secsees_df = big_startup_secsees_df.dropna(subset=['funding_total_usd'])\n",
        "top_sectors = big_startup_secsees_df['category_list'].value_counts().head(10).index\n",
        "big_startup_secsees_df = big_startup_secsees_df[big_startup_secsees_df['category_list'].isin(top_sectors)]\n",
        "\n",
        "# Convertir funding_total_usd a tipo flotante\n",
        "big_startup_secsees_df['funding_total_usd'] = pd.to_numeric(big_startup_secsees_df['funding_total_usd'], errors='coerce')\n",
        "\n",
        "# Agrupar datos por sector\n",
        "industry_groups = [group['funding_total_usd'].values for _, group in big_startup_secsees_df.groupby('category_list')]\n",
        "\n",
        "# Realizar ANOVA\n",
        "anova_result = f_oneway(*industry_groups)\n",
        "\n",
        "# Resultados de ANOVA\n",
        "print(\"ANOVA Resultados:\")\n",
        "print(f\"F-Statistic: {anova_result.statistic:.4f}, p-value: {anova_result.pvalue:.4f}\")\n",
        "\n",
        "if anova_result.pvalue < 0.05:\n",
        "    print(\"Existe una diferencia significativa en los montos de financiamiento según el sector de la industria.\")\n",
        "\n",
        "    # Prueba Tukey HSD\n",
        "    tukey_result = pairwise_tukeyhsd(\n",
        "        endog=big_startup_secsees_df['funding_total_usd'],\n",
        "        groups=big_startup_secsees_df['category_list'],\n",
        "        alpha=0.05\n",
        "    )\n",
        "    print(\"\\nPrueba Tukey HSD Resultados:\")\n",
        "    print(tukey_result)\n",
        "\n",
        "    # Mostrar pares con diferencias significativas\n",
        "    print(\"\\nGrupos con diferencias significativas en financiamiento:\")\n",
        "    for i in range(len(tukey_result.reject)):\n",
        "        if tukey_result.reject[i]:\n",
        "            print(f\"Diferencia significativa entre {tukey_result.groupsunique[i // len(tukey_result.groupsunique)]} y \"\n",
        "                  f\"{tukey_result.groupsunique[i % len(tukey_result.groupsunique)]}.\")\n",
        "else:\n",
        "    print(\"No se encontró una diferencia significativa en los montos de financiamiento según el sector de la industria.\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qCHVNct01YSl",
        "outputId": "38cea4eb-984d-44eb-fcc9-0365d5e985d1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-23-f0e08b0cea82>:10: 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",
            "  big_startup_secsees_df['funding_total_usd'] = pd.to_numeric(big_startup_secsees_df['funding_total_usd'], errors='coerce')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ANOVA Resultados:\n",
            "F-Statistic: 40.8077, p-value: 0.0000\n",
            "Existe una diferencia significativa en los montos de financiamiento según el sector de la industria.\n",
            "\n",
            "Prueba Tukey HSD Resultados:\n",
            "                       Multiple Comparison of Means - Tukey HSD, FWER=0.05                        \n",
            "==================================================================================================\n",
            "       group1              group2          meandiff    p-adj      lower          upper      reject\n",
            "--------------------------------------------------------------------------------------------------\n",
            "      Biotechnology    Clean Technology   8955389.7805 0.0007   2359535.0231  15551244.5379   True\n",
            "      Biotechnology         Curated Web -17698319.2287    0.0 -24489759.0705 -10906879.3869   True\n",
            "      Biotechnology          E-Commerce  -4216076.4343  0.493 -10425474.8475   1993321.9789  False\n",
            "      Biotechnology               Games -15352296.6653    0.0 -22695247.1195  -8009346.2111   True\n",
            "      Biotechnology Hardware + Software -10357775.5484 0.0002 -17474582.8124  -3240968.2845   True\n",
            "      Biotechnology         Health Care   -680245.8785    1.0  -7803134.4938   6442642.7367  False\n",
            "      Biotechnology              Mobile  -10054968.559    0.0 -16556278.2893  -3553658.8287   True\n",
            "      Biotechnology         No Category -19979134.6454    0.0 -24701754.7917 -15256514.4991   True\n",
            "      Biotechnology            Software -14708574.3277    0.0 -19155548.6335 -10261600.0219   True\n",
            "   Clean Technology         Curated Web -26653709.0092    0.0  -34952256.769 -18355161.2495   True\n",
            "   Clean Technology          E-Commerce -13171466.2149    0.0 -21000825.6044  -5342106.8254   True\n",
            "   Clean Technology               Games -24307686.4458    0.0 -33063322.4118 -15552050.4799   True\n",
            "   Clean Technology Hardware + Software  -19313165.329    0.0 -27880030.8835 -10746299.7745   True\n",
            "   Clean Technology         Health Care  -9635635.6591 0.0138  -18207553.882  -1063717.4361   True\n",
            "   Clean Technology              Mobile -19010358.3395    0.0 -27073190.8446 -10947525.8344   True\n",
            "   Clean Technology         No Category -28934524.4259    0.0 -35646109.9944 -22222938.8575   True\n",
            "   Clean Technology            Software -23663964.1082    0.0 -30184533.1227 -17143395.0938   True\n",
            "        Curated Web          E-Commerce  13482242.7944    0.0   5487417.9937   21477067.595   True\n",
            "        Curated Web               Games   2346022.5634 0.9981  -6557881.9909  11249927.1177  False\n",
            "        Curated Web Hardware + Software   7340543.6803 0.1885   -1377801.379  16058888.7395  False\n",
            "        Curated Web         Health Care  17018073.3502    0.0   8294763.3611  25741383.3392   True\n",
            "        Curated Web              Mobile   7643350.6697 0.0946   -580250.9226   15866952.262  False\n",
            "        Curated Web         No Category  -2280815.4167 0.9894  -9184708.2306   4623077.3972  False\n",
            "        Curated Web            Software    2989744.901 0.9251  -3728601.2806   9708091.0826  False\n",
            "         E-Commerce               Games  -11136220.231 0.0013 -19604542.9599   -2667897.502   True\n",
            "         E-Commerce Hardware + Software  -6141699.1141 0.3573 -14414698.2137   2131299.9855  False\n",
            "         E-Commerce         Health Care   3535830.5558 0.9414  -4742400.5774   11814061.689  False\n",
            "         E-Commerce              Mobile  -5838892.1246 0.3355 -13588769.3287   1910985.0794  False\n",
            "         E-Commerce         No Category -15763058.2111    0.0 -22095254.4742  -9430861.9479   True\n",
            "         E-Commerce            Software -10492497.8934    0.0 -16621865.6377   -4363130.149   True\n",
            "              Games Hardware + Software   4994521.1169 0.7807  -4159975.4188  14149017.6525  False\n",
            "              Games         Health Care  14672050.7868    0.0   5512825.7424  23831275.8312   True\n",
            "              Games              Mobile   5297328.1063 0.6484   -3387307.142  13981963.3547  False\n",
            "              Games         No Category  -4626837.9801 0.6233 -12073918.0948   2820242.1346  False\n",
            "              Games            Software    643722.3376    1.0  -6631677.4221   7919122.0974  False\n",
            "Hardware + Software         Health Care   9677529.6699 0.0229    698586.0977  18656473.2422   True\n",
            "Hardware + Software              Mobile    302806.9895    1.0  -8191480.1294   8797094.1083  False\n",
            "Hardware + Software         No Category  -9621359.0969  0.001 -16845556.3876  -2397161.8063   True\n",
            "Hardware + Software            Software  -4350798.7793  0.632 -11397887.9602   2696290.4017  False\n",
            "        Health Care              Mobile  -9374722.6804 0.0174 -17874105.6139    -875339.747   True\n",
            "        Health Care         No Category -19298888.7669    0.0  -26529077.083 -12068700.4507   True\n",
            "        Health Care            Software -14028328.4492    0.0 -21081559.0931  -6975097.8052   True\n",
            "             Mobile         No Category  -9924166.0864 0.0001 -16542859.9962  -3305472.1767   True\n",
            "             Mobile            Software  -4653605.7687 0.3943 -11078521.9939   1771310.4565  False\n",
            "        No Category            Software   5270560.3177 0.0113    653671.6101   9887449.0253   True\n",
            "--------------------------------------------------------------------------------------------------\n",
            "\n",
            "Grupos con diferencias significativas en financiamiento:\n",
            "Diferencia significativa entre Biotechnology y Biotechnology.\n",
            "Diferencia significativa entre Biotechnology y Clean Technology.\n",
            "Diferencia significativa entre Biotechnology y E-Commerce.\n",
            "Diferencia significativa entre Biotechnology y Games.\n",
            "Diferencia significativa entre Biotechnology y Health Care.\n",
            "Diferencia significativa entre Biotechnology y Mobile.\n",
            "Diferencia significativa entre Biotechnology y No Category.\n",
            "Diferencia significativa entre Biotechnology y Software.\n",
            "Diferencia significativa entre Clean Technology y Biotechnology.\n",
            "Diferencia significativa entre Clean Technology y Clean Technology.\n",
            "Diferencia significativa entre Clean Technology y Curated Web.\n",
            "Diferencia significativa entre Clean Technology y E-Commerce.\n",
            "Diferencia significativa entre Clean Technology y Games.\n",
            "Diferencia significativa entre Clean Technology y Hardware + Software.\n",
            "Diferencia significativa entre Clean Technology y Health Care.\n",
            "Diferencia significativa entre Clean Technology y Mobile.\n",
            "Diferencia significativa entre Curated Web y Biotechnology.\n",
            "Diferencia significativa entre Curated Web y Games.\n",
            "Diferencia significativa entre Curated Web y No Category.\n",
            "Diferencia significativa entre Curated Web y Software.\n",
            "Diferencia significativa entre E-Commerce y Clean Technology.\n",
            "Diferencia significativa entre E-Commerce y Hardware + Software.\n",
            "Diferencia significativa entre E-Commerce y Mobile.\n",
            "Diferencia significativa entre E-Commerce y Software.\n",
            "Diferencia significativa entre Games y Biotechnology.\n",
            "Diferencia significativa entre Games y Clean Technology.\n",
            "Diferencia significativa entre Games y Curated Web.\n",
            "Diferencia significativa entre Games y Games.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import statsmodels.api as sm\n",
        "\n",
        "# Preprocesamiento\n",
        "# Convertir 'ipo' y 'acquired' a 'operating' en la columna 'status'\n",
        "big_startup_secsees_df['status'] = big_startup_secsees_df['status'].replace({'ipo': 'operating', 'acquired': 'operating'})\n",
        "\n",
        "# Crear una columna binaria para supervivencia: 1 (operating), 0 (closed)\n",
        "big_startup_secsees_df['survival'] = big_startup_secsees_df['status'].apply(lambda x: 1 if x == 'operating' else 0)\n",
        "\n",
        "# Variables independientes (número de rondas de financiamiento) y dependiente (supervivencia)\n",
        "X = big_startup_secsees_df['funding_rounds']  # Número de rondas de financiamiento\n",
        "y = big_startup_secsees_df['survival']        # Supervivencia\n",
        "\n",
        "# Agregar constante al modelo\n",
        "X = sm.add_constant(X)\n",
        "\n",
        "# Ajustar el modelo de regresión logística\n",
        "logit_model = sm.Logit(y, X)\n",
        "result = logit_model.fit()\n",
        "\n",
        "# Imprimir resultados\n",
        "print(result.summary())\n",
        "\n",
        "# Interpretación\n",
        "p_value_rounds = result.pvalues['funding_rounds']  # Valor p para rondas de financiamiento\n",
        "coef_rounds = result.params['funding_rounds']      # Coeficiente para rondas de financiamiento\n",
        "\n",
        "print(\"\\nInterpretación:\")\n",
        "if p_value_rounds < 0.05:\n",
        "    print(f\"El valor p ({p_value_rounds:.4f}) es menor a 0.05, lo que indica que el número de rondas de financiamiento tiene un efecto significativo en la supervivencia de las startups.\")\n",
        "    if coef_rounds > 0:\n",
        "        print(f\"El coeficiente positivo ({coef_rounds:.4f}) sugiere que un mayor número de rondas de financiamiento incrementa la probabilidad de supervivencia.\")\n",
        "    else:\n",
        "        print(f\"El coeficiente negativo ({coef_rounds:.4f}) sugiere que un mayor número de rondas de financiamiento reduce la probabilidad de supervivencia.\")\n",
        "else:\n",
        "    print(f\"El valor p ({p_value_rounds:.4f}) es mayor o igual a 0.05, por lo que no se puede concluir que el número de rondas de financiamiento tenga un efecto significativo en la supervivencia de las startups.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KLiYMzrV2BVq",
        "outputId": "282afe95-3267-4281-fa82-a79bec4e497c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Optimization terminated successfully.\n",
            "         Current function value: 0.372669\n",
            "         Iterations 7\n",
            "                           Logit Regression Results                           \n",
            "==============================================================================\n",
            "Dep. Variable:               survival   No. Observations:                18174\n",
            "Model:                          Logit   Df Residuals:                    18172\n",
            "Method:                           MLE   Df Model:                            1\n",
            "Date:                Fri, 29 Nov 2024   Pseudo R-squ.:                 0.01459\n",
            "Time:                        23:47:32   Log-Likelihood:                -6772.9\n",
            "converged:                       True   LL-Null:                       -6873.2\n",
            "Covariance Type:            nonrobust   LLR p-value:                 1.599e-45\n",
            "==================================================================================\n",
            "                     coef    std err          z      P>|z|      [0.025      0.975]\n",
            "----------------------------------------------------------------------------------\n",
            "const              1.4679      0.042     35.067      0.000       1.386       1.550\n",
            "funding_rounds     0.3017      0.025     12.159      0.000       0.253       0.350\n",
            "==================================================================================\n",
            "\n",
            "Interpretación:\n",
            "El valor p (0.0000) es menor a 0.05, lo que indica que el número de rondas de financiamiento tiene un efecto significativo en la supervivencia de las startups.\n",
            "El coeficiente positivo (0.3017) sugiere que un mayor número de rondas de financiamiento incrementa la probabilidad de supervivencia.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Machine Learning**"
      ],
      "metadata": {
        "id": "m-3yAkosn6aF"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Clustering: Agrupar las startups según su financiamiento y su numero de rondas de financiamiento utilizando K-means"
      ],
      "metadata": {
        "id": "RZ9k4JDn3K7C"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.cluster import KMeans\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "import numpy as np\n",
        "from collections import Counter\n",
        "\n",
        "# Preprocesamiento\n",
        "big_startup_secsees_df['status'] = big_startup_secsees_df['status'].replace({'ipo': 'operating', 'acquired': 'operating'})\n",
        "\n",
        "# Filtrar datos relevantes: solo filas con financiamiento > 0 y rondas de financiamiento válidas\n",
        "data = big_startup_secsees_df[(big_startup_secsees_df['funding_total_usd'] > 0) &\n",
        "                               (big_startup_secsees_df['funding_rounds'].notnull())]\n",
        "\n",
        "# Financiamiento en millones de USD\n",
        "data['funding_total_usd_millions'] = data['funding_total_usd'] / 1_000_000\n",
        "\n",
        "# Convertir fechas a formato datetime\n",
        "data['founded_at'] = pd.to_datetime(data['founded_at'], errors='coerce')\n",
        "\n",
        "# Función para descartar outliers usando IQR (solo en financiamiento)\n",
        "def remove_outliers(df, column):\n",
        "    Q1 = df[column].quantile(0.25)\n",
        "    Q3 = df[column].quantile(0.75)\n",
        "    IQR = Q3 - Q1\n",
        "    lower_bound = Q1 - 1.5 * IQR\n",
        "    upper_bound = Q3 + 1.5 * IQR\n",
        "    return df[(df[column] >= lower_bound) & (df[column] <= upper_bound)]\n",
        "\n",
        "# Eliminar outliers en la columna de financiamiento\n",
        "data = remove_outliers(data, 'funding_total_usd_millions')\n",
        "\n",
        "# Seleccionar características para clustering\n",
        "X = data[['funding_total_usd_millions', 'funding_rounds']]\n",
        "\n",
        "# Escalar los datos\n",
        "scaler = StandardScaler()\n",
        "X_scaled = scaler.fit_transform(X)\n",
        "\n",
        "# Aplicar KMeans con 7 clusters\n",
        "kmeans = KMeans(n_clusters=7, random_state=42)\n",
        "data['cluster'] = kmeans.fit_predict(X_scaled)\n",
        "\n",
        "# Fijar colores para los clusters\n",
        "colors = ['red', 'blue', 'green', 'purple', 'orange', 'brown', 'pink']\n",
        "data['color'] = data['cluster'].apply(lambda x: colors[x])\n",
        "\n",
        "# Visualizar los clusters\n",
        "plt.figure(figsize=(10, 6))\n",
        "for cluster in range(7):\n",
        "    cluster_data = data[data['cluster'] == cluster]\n",
        "    plt.scatter(\n",
        "        cluster_data['funding_total_usd_millions'],\n",
        "        cluster_data['funding_rounds'],\n",
        "        c=colors[cluster],\n",
        "        label=f'Cluster {cluster}',\n",
        "        s=50,\n",
        "        alpha=0.7\n",
        "    )\n",
        "\n",
        "plt.title('Clustering de Startups: Financiamiento vs Rondas', fontsize=16)\n",
        "plt.xlabel('Financiamiento Total (Millones de USD)', fontsize=14)\n",
        "plt.ylabel('Número de Rondas de Financiamiento', fontsize=14)\n",
        "plt.legend(title='Clusters')\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Mostrar los centroides redondeados\n",
        "centroids = scaler.inverse_transform(kmeans.cluster_centers_)\n",
        "centroids_df = pd.DataFrame(centroids, columns=['funding_total_usd_millions', 'funding_rounds'])\n",
        "centroids_df['funding_total_usd_millions'] = centroids_df['funding_total_usd_millions'].round(2)\n",
        "centroids_df['funding_rounds'] = centroids_df['funding_rounds'].round(0).astype(int)\n",
        "\n",
        "print(\"Centroides de los Clusters (en escala original):\")\n",
        "print(centroids_df)\n",
        "\n",
        "def most_common_category(x):\n",
        "    return Counter(x).most_common(1)[0][0] if len(x) > 0 else 'Desconocido'\n",
        "\n",
        "related_info = data.groupby('cluster').agg(\n",
        "    avg_funding=('funding_total_usd_millions', 'mean'),\n",
        "    avg_rounds=('funding_rounds', 'mean'),\n",
        "    avg_region=('region', lambda x: x.mode()[0] if len(x.mode()) > 0 else 'Desconocido'),\n",
        "    avg_founded_at=('founded_at', lambda x: x.mean() if not x.isna().all() else np.nan),\n",
        "    avg_category=('category_list', most_common_category)\n",
        ")\n",
        "\n",
        "# Convertir la fecha promedio de creación a un formato legible\n",
        "related_info['avg_founded_at'] = pd.to_datetime(related_info['avg_founded_at']).dt.date\n",
        "\n",
        "# Visualizar la tabla actualizada\n",
        "print(\"\\nInformación Adicional por Cluster con Categoría Promedio:\")\n",
        "print(related_info)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Nt3_5SMj_crm",
        "outputId": "d69d0642-17b6-43a9-979f-94a2249da08b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-25-4a16283bf777>:16: 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",
            "  data['funding_total_usd_millions'] = data['funding_total_usd'] / 1_000_000\n",
            "<ipython-input-25-4a16283bf777>:19: 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",
            "  data['founded_at'] = pd.to_datetime(data['founded_at'], errors='coerce')\n",
            "<ipython-input-25-4a16283bf777>:42: 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",
            "  data['cluster'] = kmeans.fit_predict(X_scaled)\n",
            "<ipython-input-25-4a16283bf777>:46: 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",
            "  data['color'] = data['cluster'].apply(lambda x: colors[x])\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Centroides de los Clusters (en escala original):\n",
            "   funding_total_usd_millions  funding_rounds\n",
            "0                       11.34               1\n",
            "1                       24.53               2\n",
            "2                        1.53               1\n",
            "3                       22.26               5\n",
            "4                       14.62               8\n",
            "5                        5.79               4\n",
            "6                        2.63               2\n",
            "\n",
            "Información Adicional por Cluster con Categoría Promedio:\n",
            "         avg_funding  avg_rounds   avg_region avg_founded_at   avg_category\n",
            "cluster                                                                    \n",
            "0              11.34        1.31  SF Bay Area     2005-01-13       Software\n",
            "1              24.53        1.92  SF Bay Area     2005-03-25  Biotechnology\n",
            "2               1.53        1.00      unknown     2008-05-10       Software\n",
            "3              22.29        4.69  SF Bay Area     2005-07-17  Biotechnology\n",
            "4              14.62        8.44  SF Bay Area     2006-06-01  Biotechnology\n",
            "5               5.80        3.51  SF Bay Area     2007-11-24  Biotechnology\n",
            "6               2.63        2.00  SF Bay Area     2008-08-10       Software\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Machine Learning: predecir cuánta cantidad de financiamiento en USD necesitaría una startup para tener al menos un 99% de probabilidades de sobrevivir**"
      ],
      "metadata": {
        "id": "g10eFZx06NrL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Filtrar filas con financiamiento > 0\n",
        "data = big_startup_secsees_df[big_startup_secsees_df['funding_total_usd'] > 0]\n",
        "\n",
        "# Variables independientes y dependiente\n",
        "X = data[['funding_total_usd']]  # Solo financiamiento total\n",
        "y = (data['status'] == 'operating').astype(int)\n",
        "\n",
        "# Añadir nombres de las empresas\n",
        "X['name'] = data['name']\n",
        "\n",
        "# Dividir datos en entrenamiento y prueba\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
        "\n",
        "# Modelo de regresión logística\n",
        "model = LogisticRegression(max_iter=1000)\n",
        "model.fit(X_train[['funding_total_usd']], y_train)\n",
        "\n",
        "# Calcular financiamiento necesario para ~99% de probabilidad de supervivencia\n",
        "def calculate_threshold(probability):\n",
        "    log_odds = np.log(probability / (1 - probability))\n",
        "    threshold = (log_odds - model.intercept_[0]) / model.coef_[0][0]\n",
        "    return threshold\n",
        "\n",
        "threshold_99 = calculate_threshold(0.99)  # ~99% de probabilidad\n",
        "\n",
        "# Testeo del modelo en 10 empresas\n",
        "X_test_sample = X_test.sample(10, random_state=42)\n",
        "y_test_sample = y_test.loc[X_test_sample.index]\n",
        "y_pred_prob = model.predict_proba(X_test_sample[['funding_total_usd']])[:, 1]  # Probabilidades de supervivencia\n",
        "\n",
        "# Crear tabla con resultados\n",
        "test_results = pd.DataFrame({\n",
        "    'Company Name': X_test_sample['name'],\n",
        "    'Funding Total (USD)': X_test_sample['funding_total_usd'],\n",
        "    'Actual Status (1=Operating)': y_test_sample.values,\n",
        "    'Predicted Survival Probability (%)': (y_pred_prob * 100).round(2)\n",
        "})\n",
        "\n",
        "# Imprimir tabla de resultados\n",
        "print(\"\\nResultados del Testeo en 10 Empresas:\")\n",
        "print(test_results)\n",
        "\n",
        "# Mostrar umbral calculado\n",
        "print(f\"\\nEl umbral mínimo de financiamiento para una probabilidad de supervivencia del ~99% es: ${threshold_99:,.2f}\")\n"
      ],
      "metadata": {
        "id": "Rz4wnVO4u4PP",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 315
        },
        "outputId": "d1eba134-e903-45b9-b729-76528515969d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-27-682fb51f8ad8>:9: 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",
            "  X['name'] = data['name']\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "NameError",
          "evalue": "name 'train_test_split' is not defined",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-27-682fb51f8ad8>\u001b[0m in \u001b[0;36m<cell line: 12>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;31m# Dividir datos en entrenamiento y prueba\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mX_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mX_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_test\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_test_split\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtest_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m42\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0;31m# Modelo de regresión logística\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mNameError\u001b[0m: name 'train_test_split' is not defined"
          ]
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}