09_CSE303_Lab05_Practice.ipynb

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    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vEdY7ap5x7Rf",
        "outputId": "99b3c6a8-a36f-40ae-c267-3918b334a212"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np"
      ],
      "metadata": {
        "id": "ZAhFOO7-yhLW"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df =pd.read_csv(\"/content/drive/MyDrive/titanic_train.csv\")\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "tO0MRLW_yR1u",
        "outputId": "7568cbe4-a1de-4fa4-e16a-7d2a1f4acfb7"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     PassengerId  Survived  Pclass  \\\n",
              "0              1         0       3   \n",
              "1              2         1       1   \n",
              "2              3         1       3   \n",
              "3              4         1       1   \n",
              "4              5         0       3   \n",
              "..           ...       ...     ...   \n",
              "886          887         0       2   \n",
              "887          888         1       1   \n",
              "888          889         0       3   \n",
              "889          890         1       1   \n",
              "890          891         0       3   \n",
              "\n",
              "                                                  Name     Sex   Age  SibSp  \\\n",
              "0                              Braund, Mr. Owen Harris    male  22.0      1   \n",
              "1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
              "2                               Heikkinen, Miss. Laina  female  26.0      0   \n",
              "3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
              "4                             Allen, Mr. William Henry    male  35.0      0   \n",
              "..                                                 ...     ...   ...    ...   \n",
              "886                              Montvila, Rev. Juozas    male  27.0      0   \n",
              "887                       Graham, Miss. Margaret Edith  female  19.0      0   \n",
              "888           Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1   \n",
              "889                              Behr, Mr. Karl Howell    male  26.0      0   \n",
              "890                                Dooley, Mr. Patrick    male  32.0      0   \n",
              "\n",
              "     Parch            Ticket     Fare Cabin Embarked  \n",
              "0        0         A/5 21171   7.2500   NaN        S  \n",
              "1        0          PC 17599  71.2833   C85        C  \n",
              "2        0  STON/O2. 3101282   7.9250   NaN        S  \n",
              "3        0            113803  53.1000  C123        S  \n",
              "4        0            373450   8.0500   NaN        S  \n",
              "..     ...               ...      ...   ...      ...  \n",
              "886      0            211536  13.0000   NaN        S  \n",
              "887      0            112053  30.0000   B42        S  \n",
              "888      2        W./C. 6607  23.4500   NaN        S  \n",
              "889      0            111369  30.0000  C148        C  \n",
              "890      0            370376   7.7500   NaN        Q  \n",
              "\n",
              "[891 rows x 12 columns]"
            ],
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              "      <th>Survived</th>\n",
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              "      <td>1</td>\n",
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              "      <td>Braund, Mr. Owen Harris</td>\n",
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              "      <td>Heikkinen, Miss. Laina</td>\n",
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              "      <td>26.0</td>\n",
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              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
              "      <td>female</td>\n",
              "      <td>35.0</td>\n",
              "      <td>1</td>\n",
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              "      <td>Allen, Mr. William Henry</td>\n",
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              "      <td>35.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>373450</td>\n",
              "      <td>8.0500</td>\n",
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              "      <td>Montvila, Rev. Juozas</td>\n",
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              "      <td>S</td>\n",
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              "      <td>Graham, Miss. Margaret Edith</td>\n",
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              "      <td>19.0</td>\n",
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              "      <td>3</td>\n",
              "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
              "      <td>female</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>W./C. 6607</td>\n",
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              "      <td>Behr, Mr. Karl Howell</td>\n",
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              "      <td>30.0000</td>\n",
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              "      <th>890</th>\n",
              "      <td>891</td>\n",
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              "      <td>Dooley, Mr. Patrick</td>\n",
              "      <td>male</td>\n",
              "      <td>32.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>370376</td>\n",
              "      <td>7.7500</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Q</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>891 rows × 12 columns</p>\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "t9YJ3-mI78U1",
        "outputId": "3a711a72-3dde-4e9a-ff1b-4403a544380c"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   PassengerId  Survived  Pclass  \\\n",
              "0            1         0       3   \n",
              "1            2         1       1   \n",
              "2            3         1       3   \n",
              "3            4         1       1   \n",
              "4            5         0       3   \n",
              "\n",
              "                                                Name     Sex   Age  SibSp  \\\n",
              "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
              "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
              "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
              "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
              "4                           Allen, Mr. William Henry    male  35.0      0   \n",
              "\n",
              "   Parch            Ticket     Fare Cabin Embarked  \n",
              "0      0         A/5 21171   7.2500   NaN        S  \n",
              "1      0          PC 17599  71.2833   C85        C  \n",
              "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
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            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zkBQ9hUG8ZIW",
        "outputId": "a3e8a32a-aa81-4ede-84be-2c1a1730a2ef"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n",
              "       'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns\n",
        "df.drop(columns = ['PassengerId','Name','Ticket','Fare','Cabin'], inplace = True)\n",
        "df.dropna(inplace = True)\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "RGdwHQNM-LKd",
        "outputId": "6c1283d3-ef44-40ff-fb31-d686b5c7c966"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Survived  Pclass     Sex   Age  SibSp  Parch Embarked\n",
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              "1           1       1  female  38.0      1      0        C\n",
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              "3           1       1  female  35.0      1      0        S\n",
              "4           0       3    male  35.0      0      0        S\n",
              "..        ...     ...     ...   ...    ...    ...      ...\n",
              "885         0       3  female  39.0      0      5        Q\n",
              "886         0       2    male  27.0      0      0        S\n",
              "887         1       1  female  19.0      0      0        S\n",
              "889         1       1    male  26.0      0      0        C\n",
              "890         0       3    male  32.0      0      0        Q\n",
              "\n",
              "[712 rows x 7 columns]"
            ],
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              "\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-58fb48b8-bca5-4e30-babf-041597dea616')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-58fb48b8-bca5-4e30-babf-041597dea616 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-58fb48b8-bca5-4e30-babf-041597dea616');\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",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-f6a08357-fdc5-450d-aeed-7c3633318747\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f6a08357-fdc5-450d-aeed-7c3633318747')\"\n",
              "            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",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --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",
              "      border-color: transparent;\n",
              "      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-f6a08357-fdc5-450d-aeed-7c3633318747 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Alone']=(df['Parch']+df['SibSp']).apply(lambda x: 1 if x==0 else 0)\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "2IyIe7Cr-TeF",
        "outputId": "f99c10a1-66d5-4656-ec23-35fc0b77b656"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Survived  Pclass     Sex   Age  SibSp  Parch Embarked  Alone\n",
              "0           0       3    male  22.0      1      0        S      0\n",
              "1           1       1  female  38.0      1      0        C      0\n",
              "2           1       3  female  26.0      0      0        S      1\n",
              "3           1       1  female  35.0      1      0        S      0\n",
              "4           0       3    male  35.0      0      0        S      1\n",
              "..        ...     ...     ...   ...    ...    ...      ...    ...\n",
              "885         0       3  female  39.0      0      5        Q      0\n",
              "886         0       2    male  27.0      0      0        S      1\n",
              "887         1       1  female  19.0      0      0        S      1\n",
              "889         1       1    male  26.0      0      0        C      1\n",
              "890         0       3    male  32.0      0      0        Q      1\n",
              "\n",
              "[712 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2ce5dc4a-ec55-44b6-a7c4-5af00dd79033\" 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>Survived</th>\n",
              "      <th>Pclass</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>SibSp</th>\n",
              "      <th>Parch</th>\n",
              "      <th>Embarked</th>\n",
              "      <th>Alone</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>male</td>\n",
              "      <td>22.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>S</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>female</td>\n",
              "      <td>38.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>C</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>female</td>\n",
              "      <td>26.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>S</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>female</td>\n",
              "      <td>35.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>S</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>male</td>\n",
              "      <td>35.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>S</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>885</th>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>female</td>\n",
              "      <td>39.0</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>Q</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>886</th>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>male</td>\n",
              "      <td>27.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>S</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>887</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>female</td>\n",
              "      <td>19.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>S</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>889</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>male</td>\n",
              "      <td>26.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>C</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>890</th>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>male</td>\n",
              "      <td>32.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Q</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>712 rows × 8 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2ce5dc4a-ec55-44b6-a7c4-5af00dd79033')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-2ce5dc4a-ec55-44b6-a7c4-5af00dd79033 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-2ce5dc4a-ec55-44b6-a7c4-5af00dd79033');\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",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-51e6a32b-558b-43b9-9438-734f81fbc196\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-51e6a32b-558b-43b9-9438-734f81fbc196')\"\n",
              "            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",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --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",
              "      border-color: transparent;\n",
              "      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-51e6a32b-558b-43b9-9438-734f81fbc196 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "sns.barplot(x='Sex', y='Survived',data=df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "1MauJO77-2nE",
        "outputId": "f5ec9115-9fbe-41db-f138-db7481c3e897"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Sex', ylabel='Survived'>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x='Pclass', y='Survived',data=df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "pC2tZakX_R-0",
        "outputId": "e458c4f0-809c-47e6-c55b-7e1c82acb12f"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Pclass', ylabel='Survived'>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cont1=pd.crosstab(index=df['Sex'],columns=df['Survived'])\n",
        "df_cont1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "BzZ9-tGM_14c",
        "outputId": "710ffb0a-2535-431d-e1c9-6e9e3e678015"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Survived    0    1\n",
              "Sex               \n",
              "female     64  195\n",
              "male      360   93"
            ],
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>Survived</th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sex</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>female</th>\n",
              "      <td>64</td>\n",
              "      <td>195</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>male</th>\n",
              "      <td>360</td>\n",
              "      <td>93</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ca07b5c4-df09-487b-8070-88041108408b')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "      display:flex;\n",
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              "      background-color: #E8F0FE;\n",
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              "\n",
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              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "\n",
              "    [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",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-ca07b5c4-df09-487b-8070-88041108408b 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-ca07b5c4-df09-487b-8070-88041108408b');\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",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-d6a33ce1-2213-4842-b14c-7e060722d347\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d6a33ce1-2213-4842-b14c-7e060722d347')\"\n",
              "            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",
              "     width=\"24px\">\n",
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              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --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",
              "      border-color: transparent;\n",
              "      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-d6a33ce1-2213-4842-b14c-7e060722d347 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cont2=pd.crosstab(index=df['Alone'],columns=df['Survived'])\n",
        "df_cont2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "huBOroyXAyD8",
        "outputId": "2ff678bf-ac03-4bf9-fead-aab393042613"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Survived    0    1\n",
              "Alone             \n",
              "0         150  160\n",
              "1         274  128"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8994f3f9-c27a-4ee0-94ce-a74578c93e93\" 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>Survived</th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Alone</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>150</td>\n",
              "      <td>160</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>274</td>\n",
              "      <td>128</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-8994f3f9-c27a-4ee0-94ce-a74578c93e93 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-8994f3f9-c27a-4ee0-94ce-a74578c93e93');\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",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-65d2ff48-5ba3-4b35-9f8c-e6908601fbc0\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-65d2ff48-5ba3-4b35-9f8c-e6908601fbc0')\"\n",
              "            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",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --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",
              "      border-color: transparent;\n",
              "      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-65d2ff48-5ba3-4b35-9f8c-e6908601fbc0 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "r=df_cont1.shape[0]"
      ],
      "metadata": {
        "id": "1J56HFtmB5qV"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "c=df_cont1.shape[1]"
      ],
      "metadata": {
        "id": "tMa_hxjpCA2V"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_cont1.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GNP50qOzCEpc",
        "outputId": "d34f5086-0ea5-48bc-e3f8-f8111dc11de4"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 2)"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "degree_of_freedom = (r-1)*(c-1)\n",
        "print(degree_of_freedom)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fCf3edUKByV0",
        "outputId": "2244d2b8-8e71-4cb5-aee5-f3bd5cb1c3b0"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_cont1=pd.crosstab(index=df['Sex'],columns=df['Survived'])\n",
        "df_cont1.loc[:,'Total']=df_cont1.sum(axis=1)\n",
        "df_cont1.loc['Total']=df_cont1.sum()\n",
        "df_cont1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "b-uS049TCbCr",
        "outputId": "654dcd4b-113d-4843-9394-61b41c683e54"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Survived    0    1  Total\n",
              "Sex                      \n",
              "female     64  195    259\n",
              "male      360   93    453\n",
              "Total     424  288    712"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ccd30472-70b6-4460-b27c-500150102b34\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>Survived</th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
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              "    <tr>\n",
              "      <th>Sex</th>\n",
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              "      <th></th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>female</th>\n",
              "      <td>64</td>\n",
              "      <td>195</td>\n",
              "      <td>259</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>male</th>\n",
              "      <td>360</td>\n",
              "      <td>93</td>\n",
              "      <td>453</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>424</td>\n",
              "      <td>288</td>\n",
              "      <td>712</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ccd30472-70b6-4460-b27c-500150102b34')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-ccd30472-70b6-4460-b27c-500150102b34 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-ccd30472-70b6-4460-b27c-500150102b34');\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",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-027ef9df-2879-4172-9341-8073fee2dacd\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-027ef9df-2879-4172-9341-8073fee2dacd')\"\n",
              "            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",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --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",
              "      border-color: transparent;\n",
              "      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-027ef9df-2879-4172-9341-8073fee2dacd button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_exp=df_cont1.copy()\n",
        "df_exp"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "-PNKBvKAE_j0",
        "outputId": "87c5e00a-9cd2-466d-9e68-811b239170ef"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Survived    0    1  Total\n",
              "Sex                      \n",
              "female     64  195    259\n",
              "male      360   93    453\n",
              "Total     424  288    712"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1a27e683-3f5d-4de3-9a39-995f190b17f8\" 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>Survived</th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sex</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>female</th>\n",
              "      <td>64</td>\n",
              "      <td>195</td>\n",
              "      <td>259</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>male</th>\n",
              "      <td>360</td>\n",
              "      <td>93</td>\n",
              "      <td>453</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>424</td>\n",
              "      <td>288</td>\n",
              "      <td>712</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1a27e683-3f5d-4de3-9a39-995f190b17f8')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [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",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-1a27e683-3f5d-4de3-9a39-995f190b17f8 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-1a27e683-3f5d-4de3-9a39-995f190b17f8');\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",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-412d6188-d764-46ad-b54f-0ba1ad0328b4\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-412d6188-d764-46ad-b54f-0ba1ad0328b4')\"\n",
              "            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",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --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",
              "      border-color: transparent;\n",
              "      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-412d6188-d764-46ad-b54f-0ba1ad0328b4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=df_cont1.sum(1).values/2\n",
        "x"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wjuLLsCuHnYj",
        "outputId": "303b3a40-9dcf-4367-885c-fb97a08ddcdb"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([259., 453., 712.])"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y=df_cont1.sum().values/2\n",
        "y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MnJSBVo_H0Gj",
        "outputId": "43e069ff-5e3e-402a-e8e4-1496b9dac043"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([424., 288., 712.])"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.outer(x,y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lSdO5XGfJh47",
        "outputId": "c5c5e71f-7b15-4bbe-b59e-0fe2dc35ada5"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[109816.,  74592., 184408.],\n",
              "       [192072., 130464., 322536.],\n",
              "       [301888., 205056., 506944.]])"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_y=np.outer(x,y)\n",
        "x_y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YfTIMmkKJlt7",
        "outputId": "993eb732-9a6a-4636-cc57-58660d31f038"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[109816.,  74592., 184408.],\n",
              "       [192072., 130464., 322536.],\n",
              "       [301888., 205056., 506944.]])"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "total=df_cont1.iloc[2,2]\n",
        "total"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Bz1PGp-iJyd6",
        "outputId": "0caaef47-8657-47a7-8dac-2341d4ac12e9"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "712"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_y/total"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uoBSIcYlKHBD",
        "outputId": "e9405a51-0c9c-4fea-ddc4-abc1d599cc22"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[154.23595506, 104.76404494, 259.        ],\n",
              "       [269.76404494, 183.23595506, 453.        ],\n",
              "       [424.        , 288.        , 712.        ]])"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    }
  ]
}