{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "faker_data_jailbird2.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U9ltZRAzkr22",
        "colab_type": "text"
      },
      "source": [
        "#One hot encoded dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z8Hp93NgQeVH",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "6c90a71e-8fc1-4dd7-8b92-58f788054502"
      },
      "source": [
        "new_df.head()"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>returned_NO</th>\n",
              "      <th>returned</th>\n",
              "      <th>returned_PV</th>\n",
              "      <th>gender_FEMALE</th>\n",
              "      <th>gender_MALE</th>\n",
              "      <th>age_16_32</th>\n",
              "      <th>age_33_49</th>\n",
              "      <th>age_50_64</th>\n",
              "      <th>age_65_82</th>\n",
              "      <th>age_83_100</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   returned_NO  returned  returned_PV  ...  age_50_64  age_65_82  age_83_100\n",
              "0            0         0            1  ...          0          0           0\n",
              "1            1         0            0  ...          0          0           0\n",
              "2            1         0            0  ...          0          0           0\n",
              "3            0         1            0  ...          0          0           0\n",
              "4            0         1            0  ...          0          0           0\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6KAPf0e3SeEd",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "e149513f-2a25-41c3-b568-1df90c82acd6"
      },
      "source": [
        "len(new_df)"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "123588"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6Ju8O-fuEsG9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387
        },
        "outputId": "81362bd6-1d6c-4a2d-a4d2-1e20fbfc81b3"
      },
      "source": [
        "plt.figure(figsize=(15,5))\n",
        "sns.heatmap(new_df.corr(),\n",
        "            vmin=-1,\n",
        "            cmap='coolwarm',\n",
        "            annot=True);"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZylbEok6QGvC",
        "colab_type": "text"
      },
      "source": [
        "#Generate faker data\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5kt8VHJSSa3E",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "fakies = []\n",
        "\n",
        "for i in range(len(new_df)):\n",
        "  if (new_df.iloc[i].gender_MALE==1) and (new_df.iloc[i].age_16_32==1):\n",
        "      fakies.append(fake.boolean(chance_of_getting_true=85))\n",
        "  elif (new_df.iloc[i].gender_MALE==1) and (new_df.iloc[i].age_50_64==1):\n",
        "      fakies.append(fake.boolean(chance_of_getting_true=75))\n",
        "  elif (new_df.iloc[i].gender_MALE==1) and (new_df.iloc[i].age_33_49==1):\n",
        "      fakies.append(fake.boolean(chance_of_getting_true=70))\n",
        "  elif (new_df.iloc[i].gender_MALE==1) and (new_df.iloc[i].age_65_82==1):\n",
        "      fakies.append(fake.boolean(chance_of_getting_true=65))\n",
        "  elif (new_df.iloc[i].gender_FEMALE==1) and (new_df.iloc[i].age_16_32==1):\n",
        "      fakies.append(fake.boolean(chance_of_getting_true=55))\n",
        "  elif (new_df.iloc[i].gender_FEMALE==1) and (new_df.iloc[i].age_50_64==1):\n",
        "      fakies.append(fake.boolean(chance_of_getting_true=25))\n",
        "  elif (new_df.iloc[i].gender_FEMALE==1) and (new_df.iloc[i].age_33_49==1):\n",
        "      fakies.append(fake.boolean(chance_of_getting_true=40))\n",
        "  elif (new_df.iloc[i].gender_FEMALE==1) and (new_df.iloc[i].age_65_82==1):\n",
        "      fakies.append(fake.boolean(chance_of_getting_true=45))\n",
        "  else:\n",
        "      fakies.append(fake.boolean(chance_of_getting_true=30))"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6th1csOzS41N",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "new_df['visitors_family'] = pd.DataFrame(fakies)"
      ],
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hXOYh6QoNVJd",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "267093f2-23d5-4c5b-cee4-0b17620ce615"
      },
      "source": [
        "new_df.head(5)"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>returned_NO</th>\n",
              "      <th>returned</th>\n",
              "      <th>returned_PV</th>\n",
              "      <th>gender_FEMALE</th>\n",
              "      <th>gender_MALE</th>\n",
              "      <th>age_16_32</th>\n",
              "      <th>age_33_49</th>\n",
              "      <th>age_50_64</th>\n",
              "      <th>age_65_82</th>\n",
              "      <th>age_83_100</th>\n",
              "      <th>visitors_family</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   returned_NO  returned  returned_PV  ...  age_65_82  age_83_100  visitors_family\n",
              "0            0         0            1  ...          0           0             True\n",
              "1            1         0            0  ...          0           0             True\n",
              "2            1         0            0  ...          0           0             True\n",
              "3            0         1            0  ...          0           0            False\n",
              "4            0         1            0  ...          0           0             True\n",
              "\n",
              "[5 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1WjYxXBBS5h6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# One hot encoding\n",
        "\n",
        "df_visitors_family_one_hot = pd.get_dummies(new_df['visitors_family'], \n",
        "                                     prefix='fam')"
      ],
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XGAYiJhaN5no",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "72975553-01df-4f08-d358-4971174ea7dc"
      },
      "source": [
        "df_visitors_family_one_hot.head(5)"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>fam_False</th>\n",
              "      <th>fam_True</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   fam_False  fam_True\n",
              "0          0         1\n",
              "1          0         1\n",
              "2          0         1\n",
              "3          1         0\n",
              "4          0         1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LSf8ar2BS5fU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Combine the one hot encoding with new_df\n",
        "new_df_con_enc = pd.concat([new_df,\n",
        "                            df_visitors_family_one_hot], axis=1)"
      ],
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xT9d6PeIO0SM",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        },
        "outputId": "4bc007b7-f30e-45dd-ad03-813a4b213285"
      },
      "source": [
        "new_df_con_enc.head(5)"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>returned_NO</th>\n",
              "      <th>returned</th>\n",
              "      <th>returned_PV</th>\n",
              "      <th>gender_FEMALE</th>\n",
              "      <th>gender_MALE</th>\n",
              "      <th>age_16_32</th>\n",
              "      <th>age_33_49</th>\n",
              "      <th>age_50_64</th>\n",
              "      <th>age_65_82</th>\n",
              "      <th>age_83_100</th>\n",
              "      <th>visitors_family</th>\n",
              "      <th>fam_False</th>\n",
              "      <th>fam_True</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>True</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>True</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>True</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>True</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   returned_NO  returned  returned_PV  ...  visitors_family  fam_False  fam_True\n",
              "0            0         0            1  ...             True          0         1\n",
              "1            1         0            0  ...             True          0         1\n",
              "2            1         0            0  ...             True          0         1\n",
              "3            0         1            0  ...            False          1         0\n",
              "4            0         1            0  ...             True          0         1\n",
              "\n",
              "[5 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BdNxfvx4xQXd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "final_df = new_df_con_enc.drop(['visitors_family'], axis=1)"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gjsRrAN87xZE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "outputId": "39f89a99-d755-46ba-db2f-9dc5cb3b1547"
      },
      "source": [
        "final_df.head(5)"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>returned_NO</th>\n",
              "      <th>returned</th>\n",
              "      <th>returned_PV</th>\n",
              "      <th>gender_FEMALE</th>\n",
              "      <th>gender_MALE</th>\n",
              "      <th>age_16_32</th>\n",
              "      <th>age_33_49</th>\n",
              "      <th>age_50_64</th>\n",
              "      <th>age_65_82</th>\n",
              "      <th>age_83_100</th>\n",
              "      <th>fam_False</th>\n",
              "      <th>fam_True</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   returned_NO  returned  returned_PV  ...  age_83_100  fam_False  fam_True\n",
              "0            0         0            1  ...           0          0         1\n",
              "1            1         0            0  ...           0          0         1\n",
              "2            1         0            0  ...           0          0         1\n",
              "3            0         1            0  ...           0          1         0\n",
              "4            0         1            0  ...           0          0         1\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DGyiLhHjxdso",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387
        },
        "outputId": "85778e15-7968-4eb8-d7f6-d9e9f9a5bb5e"
      },
      "source": [
        "plt.figure(figsize=(15,5))\n",
        "sns.heatmap(final_df.corr(),\n",
        "            vmin=-1,\n",
        "            cmap='coolwarm',\n",
        "            annot=True);"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}