Data_visualisation.ipynb

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      "name": "python3",
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      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/Ngondzana/Huru-Bootcamp/blob/main/Data_visualisation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fGCSoNBUvg_y"
      },
      "source": [
        "## ***NGONDZANA Tikum Michael***\n",
        "### Data visualisation Assignment\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z68SNcSRd_15"
      },
      "source": [
        "### Importing Libraries"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hwzejyvpd0ju"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import plotly.express as px\n",
        "import matplotlib as plt\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qgCmcI5ReOzH"
      },
      "source": [
        "### Reading Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "id": "xQwDh8W_eLE3",
        "outputId": "10de28a4-59ff-4825-8ad9-1021033d6558"
      },
      "source": [
        "df = pd.read_csv(\"winequality-red.csv\")\n",
        "df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>fixed acidity</th>\n",
              "      <th>volatile acidity</th>\n",
              "      <th>citric acid</th>\n",
              "      <th>residual sugar</th>\n",
              "      <th>chlorides</th>\n",
              "      <th>free sulfur dioxide</th>\n",
              "      <th>total sulfur dioxide</th>\n",
              "      <th>density</th>\n",
              "      <th>pH</th>\n",
              "      <th>sulphates</th>\n",
              "      <th>alcohol</th>\n",
              "      <th>quality</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7.4</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.076</td>\n",
              "      <td>11.0</td>\n",
              "      <td>34.0</td>\n",
              "      <td>0.99780</td>\n",
              "      <td>3.51</td>\n",
              "      <td>0.56</td>\n",
              "      <td>9.4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7.8</td>\n",
              "      <td>0.880</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2.6</td>\n",
              "      <td>0.098</td>\n",
              "      <td>25.0</td>\n",
              "      <td>67.0</td>\n",
              "      <td>0.99680</td>\n",
              "      <td>3.20</td>\n",
              "      <td>0.68</td>\n",
              "      <td>9.8</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>7.8</td>\n",
              "      <td>0.760</td>\n",
              "      <td>0.04</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0.092</td>\n",
              "      <td>15.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>0.99700</td>\n",
              "      <td>3.26</td>\n",
              "      <td>0.65</td>\n",
              "      <td>9.8</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>11.2</td>\n",
              "      <td>0.280</td>\n",
              "      <td>0.56</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.075</td>\n",
              "      <td>17.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>0.99800</td>\n",
              "      <td>3.16</td>\n",
              "      <td>0.58</td>\n",
              "      <td>9.8</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>7.4</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.076</td>\n",
              "      <td>11.0</td>\n",
              "      <td>34.0</td>\n",
              "      <td>0.99780</td>\n",
              "      <td>3.51</td>\n",
              "      <td>0.56</td>\n",
              "      <td>9.4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1594</th>\n",
              "      <td>6.2</td>\n",
              "      <td>0.600</td>\n",
              "      <td>0.08</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.090</td>\n",
              "      <td>32.0</td>\n",
              "      <td>44.0</td>\n",
              "      <td>0.99490</td>\n",
              "      <td>3.45</td>\n",
              "      <td>0.58</td>\n",
              "      <td>10.5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1595</th>\n",
              "      <td>5.9</td>\n",
              "      <td>0.550</td>\n",
              "      <td>0.10</td>\n",
              "      <td>2.2</td>\n",
              "      <td>0.062</td>\n",
              "      <td>39.0</td>\n",
              "      <td>51.0</td>\n",
              "      <td>0.99512</td>\n",
              "      <td>3.52</td>\n",
              "      <td>0.76</td>\n",
              "      <td>11.2</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1596</th>\n",
              "      <td>6.3</td>\n",
              "      <td>0.510</td>\n",
              "      <td>0.13</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0.076</td>\n",
              "      <td>29.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>0.99574</td>\n",
              "      <td>3.42</td>\n",
              "      <td>0.75</td>\n",
              "      <td>11.0</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1597</th>\n",
              "      <td>5.9</td>\n",
              "      <td>0.645</td>\n",
              "      <td>0.12</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.075</td>\n",
              "      <td>32.0</td>\n",
              "      <td>44.0</td>\n",
              "      <td>0.99547</td>\n",
              "      <td>3.57</td>\n",
              "      <td>0.71</td>\n",
              "      <td>10.2</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1598</th>\n",
              "      <td>6.0</td>\n",
              "      <td>0.310</td>\n",
              "      <td>0.47</td>\n",
              "      <td>3.6</td>\n",
              "      <td>0.067</td>\n",
              "      <td>18.0</td>\n",
              "      <td>42.0</td>\n",
              "      <td>0.99549</td>\n",
              "      <td>3.39</td>\n",
              "      <td>0.66</td>\n",
              "      <td>11.0</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1599 rows × 12 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      fixed acidity  volatile acidity  citric acid  ...  sulphates  alcohol  quality\n",
              "0               7.4             0.700         0.00  ...       0.56      9.4        5\n",
              "1               7.8             0.880         0.00  ...       0.68      9.8        5\n",
              "2               7.8             0.760         0.04  ...       0.65      9.8        5\n",
              "3              11.2             0.280         0.56  ...       0.58      9.8        6\n",
              "4               7.4             0.700         0.00  ...       0.56      9.4        5\n",
              "...             ...               ...          ...  ...        ...      ...      ...\n",
              "1594            6.2             0.600         0.08  ...       0.58     10.5        5\n",
              "1595            5.9             0.550         0.10  ...       0.76     11.2        6\n",
              "1596            6.3             0.510         0.13  ...       0.75     11.0        6\n",
              "1597            5.9             0.645         0.12  ...       0.71     10.2        5\n",
              "1598            6.0             0.310         0.47  ...       0.66     11.0        6\n",
              "\n",
              "[1599 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gdUEVaLve78P"
      },
      "source": [
        "### Understanding Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HKkqYPT2e9pH",
        "outputId": "502111f6-f6ef-485a-eb1c-b4c925d8deff"
      },
      "source": [
        "# Show the number of rows and columns\n",
        "print(str(df.shape))\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(1599, 12)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "m4Rcr1yzfeBY",
        "outputId": "cdbbc0bf-a2b8-40e8-c2ef-984673003296"
      },
      "source": [
        "# Show the first five rows of the dataset\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>fixed acidity</th>\n",
              "      <th>volatile acidity</th>\n",
              "      <th>citric acid</th>\n",
              "      <th>residual sugar</th>\n",
              "      <th>chlorides</th>\n",
              "      <th>free sulfur dioxide</th>\n",
              "      <th>total sulfur dioxide</th>\n",
              "      <th>density</th>\n",
              "      <th>pH</th>\n",
              "      <th>sulphates</th>\n",
              "      <th>alcohol</th>\n",
              "      <th>quality</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7.4</td>\n",
              "      <td>0.70</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.076</td>\n",
              "      <td>11.0</td>\n",
              "      <td>34.0</td>\n",
              "      <td>0.9978</td>\n",
              "      <td>3.51</td>\n",
              "      <td>0.56</td>\n",
              "      <td>9.4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>7.8</td>\n",
              "      <td>0.88</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2.6</td>\n",
              "      <td>0.098</td>\n",
              "      <td>25.0</td>\n",
              "      <td>67.0</td>\n",
              "      <td>0.9968</td>\n",
              "      <td>3.20</td>\n",
              "      <td>0.68</td>\n",
              "      <td>9.8</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>7.8</td>\n",
              "      <td>0.76</td>\n",
              "      <td>0.04</td>\n",
              "      <td>2.3</td>\n",
              "      <td>0.092</td>\n",
              "      <td>15.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>0.9970</td>\n",
              "      <td>3.26</td>\n",
              "      <td>0.65</td>\n",
              "      <td>9.8</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>11.2</td>\n",
              "      <td>0.28</td>\n",
              "      <td>0.56</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.075</td>\n",
              "      <td>17.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>0.9980</td>\n",
              "      <td>3.16</td>\n",
              "      <td>0.58</td>\n",
              "      <td>9.8</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>7.4</td>\n",
              "      <td>0.70</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.076</td>\n",
              "      <td>11.0</td>\n",
              "      <td>34.0</td>\n",
              "      <td>0.9978</td>\n",
              "      <td>3.51</td>\n",
              "      <td>0.56</td>\n",
              "      <td>9.4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   fixed acidity  volatile acidity  citric acid  ...  sulphates  alcohol  quality\n",
              "0            7.4              0.70         0.00  ...       0.56      9.4        5\n",
              "1            7.8              0.88         0.00  ...       0.68      9.8        5\n",
              "2            7.8              0.76         0.04  ...       0.65      9.8        5\n",
              "3           11.2              0.28         0.56  ...       0.58      9.8        6\n",
              "4            7.4              0.70         0.00  ...       0.56      9.4        5\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "glAm9NB0f6OK"
      },
      "source": [
        "### Missing Values"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jJsfI57gf8Cn",
        "outputId": "61f7a145-2937-4a4d-cac0-3bad47fc8baf"
      },
      "source": [
        "# Checking for missing Values\n",
        "print(df.isna().sum())"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "fixed acidity           0\n",
            "volatile acidity        0\n",
            "citric acid             0\n",
            "residual sugar          0\n",
            "chlorides               0\n",
            "free sulfur dioxide     0\n",
            "total sulfur dioxide    0\n",
            "density                 0\n",
            "pH                      0\n",
            "sulphates               0\n",
            "alcohol                 0\n",
            "quality                 0\n",
            "dtype: int64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qyars3vIgE9O"
      },
      "source": [
        "### Exploring Variables"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "Q0uHqbsLgEVm",
        "outputId": "24d01358-8b6e-47fe-de9a-8ffcbbdca4f2"
      },
      "source": [
        "# Distribution of the quality variable\n",
        "fig = px.histogram(df,x='quality')\n",
        "fig.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
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          "metadata": {
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      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bVKlzVCnwaNK"
      },
      "source": [
        "## Correlation coefficients and correlation matrix"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "AGfVJKFAu9yL",
        "outputId": "f9f3581f-67fb-4fc3-f82f-ff56911675be"
      },
      "source": [
        "corr = df.corr()\n",
        "plt.subplots(figsize=(15,10))\n",
        "sns.heatmap(corr, xticklabels=corr.columns, yticklabels=corr.columns,\n",
        "            annot=True, cmap=sns.diverging_palette(220, 20, as_cmap=True))\n",
        "\n",
        "corr"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>fixed acidity</th>\n",
              "      <th>volatile acidity</th>\n",
              "      <th>citric acid</th>\n",
              "      <th>residual sugar</th>\n",
              "      <th>chlorides</th>\n",
              "      <th>free sulfur dioxide</th>\n",
              "      <th>total sulfur dioxide</th>\n",
              "      <th>density</th>\n",
              "      <th>pH</th>\n",
              "      <th>sulphates</th>\n",
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              "      <th>fixed acidity</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.256131</td>\n",
              "      <td>0.671703</td>\n",
              "      <td>0.114777</td>\n",
              "      <td>0.093705</td>\n",
              "      <td>-0.153794</td>\n",
              "      <td>-0.113181</td>\n",
              "      <td>0.668047</td>\n",
              "      <td>-0.682978</td>\n",
              "      <td>0.183006</td>\n",
              "      <td>-0.061668</td>\n",
              "      <td>0.124052</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>volatile acidity</th>\n",
              "      <td>-0.256131</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.552496</td>\n",
              "      <td>0.001918</td>\n",
              "      <td>0.061298</td>\n",
              "      <td>-0.010504</td>\n",
              "      <td>0.076470</td>\n",
              "      <td>0.022026</td>\n",
              "      <td>0.234937</td>\n",
              "      <td>-0.260987</td>\n",
              "      <td>-0.202288</td>\n",
              "      <td>-0.390558</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>citric acid</th>\n",
              "      <td>0.671703</td>\n",
              "      <td>-0.552496</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.143577</td>\n",
              "      <td>0.203823</td>\n",
              "      <td>-0.060978</td>\n",
              "      <td>0.035533</td>\n",
              "      <td>0.364947</td>\n",
              "      <td>-0.541904</td>\n",
              "      <td>0.312770</td>\n",
              "      <td>0.109903</td>\n",
              "      <td>0.226373</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>residual sugar</th>\n",
              "      <td>0.114777</td>\n",
              "      <td>0.001918</td>\n",
              "      <td>0.143577</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.055610</td>\n",
              "      <td>0.187049</td>\n",
              "      <td>0.203028</td>\n",
              "      <td>0.355283</td>\n",
              "      <td>-0.085652</td>\n",
              "      <td>0.005527</td>\n",
              "      <td>0.042075</td>\n",
              "      <td>0.013732</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>chlorides</th>\n",
              "      <td>0.093705</td>\n",
              "      <td>0.061298</td>\n",
              "      <td>0.203823</td>\n",
              "      <td>0.055610</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.005562</td>\n",
              "      <td>0.047400</td>\n",
              "      <td>0.200632</td>\n",
              "      <td>-0.265026</td>\n",
              "      <td>0.371260</td>\n",
              "      <td>-0.221141</td>\n",
              "      <td>-0.128907</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>free sulfur dioxide</th>\n",
              "      <td>-0.153794</td>\n",
              "      <td>-0.010504</td>\n",
              "      <td>-0.060978</td>\n",
              "      <td>0.187049</td>\n",
              "      <td>0.005562</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.667666</td>\n",
              "      <td>-0.021946</td>\n",
              "      <td>0.070377</td>\n",
              "      <td>0.051658</td>\n",
              "      <td>-0.069408</td>\n",
              "      <td>-0.050656</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>total sulfur dioxide</th>\n",
              "      <td>-0.113181</td>\n",
              "      <td>0.076470</td>\n",
              "      <td>0.035533</td>\n",
              "      <td>0.203028</td>\n",
              "      <td>0.047400</td>\n",
              "      <td>0.667666</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.071269</td>\n",
              "      <td>-0.066495</td>\n",
              "      <td>0.042947</td>\n",
              "      <td>-0.205654</td>\n",
              "      <td>-0.185100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>density</th>\n",
              "      <td>0.668047</td>\n",
              "      <td>0.022026</td>\n",
              "      <td>0.364947</td>\n",
              "      <td>0.355283</td>\n",
              "      <td>0.200632</td>\n",
              "      <td>-0.021946</td>\n",
              "      <td>0.071269</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.341699</td>\n",
              "      <td>0.148506</td>\n",
              "      <td>-0.496180</td>\n",
              "      <td>-0.174919</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>pH</th>\n",
              "      <td>-0.682978</td>\n",
              "      <td>0.234937</td>\n",
              "      <td>-0.541904</td>\n",
              "      <td>-0.085652</td>\n",
              "      <td>-0.265026</td>\n",
              "      <td>0.070377</td>\n",
              "      <td>-0.066495</td>\n",
              "      <td>-0.341699</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.196648</td>\n",
              "      <td>0.205633</td>\n",
              "      <td>-0.057731</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sulphates</th>\n",
              "      <td>0.183006</td>\n",
              "      <td>-0.260987</td>\n",
              "      <td>0.312770</td>\n",
              "      <td>0.005527</td>\n",
              "      <td>0.371260</td>\n",
              "      <td>0.051658</td>\n",
              "      <td>0.042947</td>\n",
              "      <td>0.148506</td>\n",
              "      <td>-0.196648</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.093595</td>\n",
              "      <td>0.251397</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>alcohol</th>\n",
              "      <td>-0.061668</td>\n",
              "      <td>-0.202288</td>\n",
              "      <td>0.109903</td>\n",
              "      <td>0.042075</td>\n",
              "      <td>-0.221141</td>\n",
              "      <td>-0.069408</td>\n",
              "      <td>-0.205654</td>\n",
              "      <td>-0.496180</td>\n",
              "      <td>0.205633</td>\n",
              "      <td>0.093595</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.476166</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>quality</th>\n",
              "      <td>0.124052</td>\n",
              "      <td>-0.390558</td>\n",
              "      <td>0.226373</td>\n",
              "      <td>0.013732</td>\n",
              "      <td>-0.128907</td>\n",
              "      <td>-0.050656</td>\n",
              "      <td>-0.185100</td>\n",
              "      <td>-0.174919</td>\n",
              "      <td>-0.057731</td>\n",
              "      <td>0.251397</td>\n",
              "      <td>0.476166</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      fixed acidity  volatile acidity  ...   alcohol   quality\n",
              "fixed acidity              1.000000         -0.256131  ... -0.061668  0.124052\n",
              "volatile acidity          -0.256131          1.000000  ... -0.202288 -0.390558\n",
              "citric acid                0.671703         -0.552496  ...  0.109903  0.226373\n",
              "residual sugar             0.114777          0.001918  ...  0.042075  0.013732\n",
              "chlorides                  0.093705          0.061298  ... -0.221141 -0.128907\n",
              "free sulfur dioxide       -0.153794         -0.010504  ... -0.069408 -0.050656\n",
              "total sulfur dioxide      -0.113181          0.076470  ... -0.205654 -0.185100\n",
              "density                    0.668047          0.022026  ... -0.496180 -0.174919\n",
              "pH                        -0.682978          0.234937  ...  0.205633 -0.057731\n",
              "sulphates                  0.183006         -0.260987  ...  0.093595  0.251397\n",
              "alcohol                   -0.061668         -0.202288  ...  1.000000  0.476166\n",
              "quality                    0.124052         -0.390558  ...  0.476166  1.000000\n",
              "\n",
              "[12 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}