{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "IUM_1_434788.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "shaFKPEixPn4"
      },
      "source": [
        "# 1. Pobranie zbioru danych z Repozytorium"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-03GDjWtxD7W",
        "outputId": "35c4ed64-62c4-47f9-a407-571b072bf831"
      },
      "source": [
        "!curl -OL https://git.wmi.amu.edu.pl/s434788/ium_434788/raw/branch/master/winequality-red.csv"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100   98k    0   98k    0     0   282k      0 --:--:-- --:--:-- --:--:--  281k\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "sAUNi0ylxWUm",
        "outputId": "27072275-680f-4154-bdf2-e952a63ab25e"
      },
      "source": [
        "import pandas as pd\n",
        "wine=pd.read_csv('winequality-red.csv')\n",
        "wine"
      ],
      "execution_count": 2,
      "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>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": "4H-i6DJlxduP"
      },
      "source": [
        "# 2. Podział na zbiory test/train przy pomocy SciKit"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nZO_naLatT0o"
      },
      "source": [
        "Próbowałem również podzielić na podzbiory Train:Dev:Test 6:2:2 Przy pomocy basha ale uznałem, że wygodniejsze jest korzystanie z \"train_test_split()\". Docelowo podział będzie dokonywany na 4 zmienne ` X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)`, jednak chciałem zachować konwencje z przykładu, z ćwiczeń."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ebHl5Aw1uuK1"
      },
      "source": [
        "https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X88VMhb0x3gJ"
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "wine_train, wine_test = train_test_split(wine, test_size=360,train_size=959, random_state=1)"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OzjEfgNOyAWs",
        "outputId": "0035e197-98c9-4a15-c1f9-23742d6a0595"
      },
      "source": [
        "wine_test[\"quality\"].value_counts()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5    155\n",
              "6    149\n",
              "7     37\n",
              "4     16\n",
              "8      2\n",
              "3      1\n",
              "Name: quality, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SpQZIuSxyAd0",
        "outputId": "6302469b-8853-45ea-b4d4-eae6078e96cf"
      },
      "source": [
        "wine_train[\"quality\"].value_counts()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5    400\n",
              "6    388\n",
              "7    125\n",
              "4     30\n",
              "8     11\n",
              "3      5\n",
              "Name: quality, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wAq8KmNdyNOm"
      },
      "source": [
        "# 3. Statystyki dla zbior"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wcq9YSTfXbs1"
      },
      "source": [
        "from matplotlib import pyplot as plt\n",
        "import seaborn as sns"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EjDFpgdPy_of"
      },
      "source": [
        "## 3.1. Zbiór Train"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "SscUak3AydG0",
        "outputId": "edcf5523-066f-4c75-bc9c-1628a413edf7"
      },
      "source": [
        "wine_train"
      ],
      "execution_count": 7,
      "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>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>1589</th>\n",
              "      <td>6.6</td>\n",
              "      <td>0.725</td>\n",
              "      <td>0.20</td>\n",
              "      <td>7.8</td>\n",
              "      <td>0.073</td>\n",
              "      <td>29.0</td>\n",
              "      <td>79.0</td>\n",
              "      <td>0.99770</td>\n",
              "      <td>3.29</td>\n",
              "      <td>0.54</td>\n",
              "      <td>9.2</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>854</th>\n",
              "      <td>9.3</td>\n",
              "      <td>0.360</td>\n",
              "      <td>0.39</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.080</td>\n",
              "      <td>41.0</td>\n",
              "      <td>55.0</td>\n",
              "      <td>0.99652</td>\n",
              "      <td>3.47</td>\n",
              "      <td>0.73</td>\n",
              "      <td>10.9</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>7.3</td>\n",
              "      <td>0.670</td>\n",
              "      <td>0.26</td>\n",
              "      <td>1.8</td>\n",
              "      <td>0.401</td>\n",
              "      <td>16.0</td>\n",
              "      <td>51.0</td>\n",
              "      <td>0.99690</td>\n",
              "      <td>3.16</td>\n",
              "      <td>1.14</td>\n",
              "      <td>9.4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1106</th>\n",
              "      <td>8.2</td>\n",
              "      <td>0.230</td>\n",
              "      <td>0.42</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.069</td>\n",
              "      <td>9.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>0.99376</td>\n",
              "      <td>3.21</td>\n",
              "      <td>0.54</td>\n",
              "      <td>12.3</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>650</th>\n",
              "      <td>10.7</td>\n",
              "      <td>0.430</td>\n",
              "      <td>0.39</td>\n",
              "      <td>2.2</td>\n",
              "      <td>0.106</td>\n",
              "      <td>8.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>0.99860</td>\n",
              "      <td>2.89</td>\n",
              "      <td>0.50</td>\n",
              "      <td>9.6</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>526</th>\n",
              "      <td>7.3</td>\n",
              "      <td>0.365</td>\n",
              "      <td>0.49</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0.088</td>\n",
              "      <td>39.0</td>\n",
              "      <td>106.0</td>\n",
              "      <td>0.99660</td>\n",
              "      <td>3.36</td>\n",
              "      <td>0.78</td>\n",
              "      <td>11.0</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>583</th>\n",
              "      <td>12.0</td>\n",
              "      <td>0.280</td>\n",
              "      <td>0.49</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.074</td>\n",
              "      <td>10.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>0.99760</td>\n",
              "      <td>2.98</td>\n",
              "      <td>0.66</td>\n",
              "      <td>9.9</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>975</th>\n",
              "      <td>7.2</td>\n",
              "      <td>0.410</td>\n",
              "      <td>0.30</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.083</td>\n",
              "      <td>35.0</td>\n",
              "      <td>72.0</td>\n",
              "      <td>0.99700</td>\n",
              "      <td>3.44</td>\n",
              "      <td>0.52</td>\n",
              "      <td>9.4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>566</th>\n",
              "      <td>8.7</td>\n",
              "      <td>0.700</td>\n",
              "      <td>0.24</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0.226</td>\n",
              "      <td>5.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>0.99910</td>\n",
              "      <td>3.32</td>\n",
              "      <td>0.60</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1232</th>\n",
              "      <td>7.6</td>\n",
              "      <td>0.430</td>\n",
              "      <td>0.29</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.075</td>\n",
              "      <td>19.0</td>\n",
              "      <td>66.0</td>\n",
              "      <td>0.99718</td>\n",
              "      <td>3.40</td>\n",
              "      <td>0.64</td>\n",
              "      <td>9.5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>959 rows × 12 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      fixed acidity  volatile acidity  citric acid  ...  sulphates  alcohol  quality\n",
              "1589            6.6             0.725         0.20  ...       0.54      9.2        5\n",
              "854             9.3             0.360         0.39  ...       0.73     10.9        6\n",
              "83              7.3             0.670         0.26  ...       1.14      9.4        5\n",
              "1106            8.2             0.230         0.42  ...       0.54     12.3        6\n",
              "650            10.7             0.430         0.39  ...       0.50      9.6        5\n",
              "...             ...               ...          ...  ...        ...      ...      ...\n",
              "526             7.3             0.365         0.49  ...       0.78     11.0        5\n",
              "583            12.0             0.280         0.49  ...       0.66      9.9        7\n",
              "975             7.2             0.410         0.30  ...       0.52      9.4        5\n",
              "566             8.7             0.700         0.24  ...       0.60      9.0        6\n",
              "1232            7.6             0.430         0.29  ...       0.64      9.5        5\n",
              "\n",
              "[959 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hZAn8j4byMF2",
        "outputId": "9d7d799f-7018-4b9d-9d4c-153abe0a53f3"
      },
      "source": [
        "wine_train[\"quality\"].value_counts()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5    400\n",
              "6    388\n",
              "7    125\n",
              "4     30\n",
              "8     11\n",
              "3      5\n",
              "Name: quality, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "EOEuj8sRyL8v",
        "outputId": "cb7c369c-9bdd-457a-98fe-3537c569730b"
      },
      "source": [
        "wine_train.describe(include='all')"
      ],
      "execution_count": 9,
      "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>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>count</th>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.00000</td>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.000000</td>\n",
              "      <td>959.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>8.329093</td>\n",
              "      <td>0.526809</td>\n",
              "      <td>0.269864</td>\n",
              "      <td>2.493743</td>\n",
              "      <td>0.088230</td>\n",
              "      <td>15.883733</td>\n",
              "      <td>45.738790</td>\n",
              "      <td>0.996736</td>\n",
              "      <td>3.31048</td>\n",
              "      <td>0.661481</td>\n",
              "      <td>10.433160</td>\n",
              "      <td>5.657977</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.808394</td>\n",
              "      <td>0.175221</td>\n",
              "      <td>0.198377</td>\n",
              "      <td>1.262329</td>\n",
              "      <td>0.050555</td>\n",
              "      <td>10.485739</td>\n",
              "      <td>31.897095</td>\n",
              "      <td>0.001925</td>\n",
              "      <td>0.15462</td>\n",
              "      <td>0.171639</td>\n",
              "      <td>1.084349</td>\n",
              "      <td>0.805654</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>4.600000</td>\n",
              "      <td>0.120000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.900000</td>\n",
              "      <td>0.012000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.990070</td>\n",
              "      <td>2.74000</td>\n",
              "      <td>0.370000</td>\n",
              "      <td>8.400000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>7.100000</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>0.090000</td>\n",
              "      <td>1.900000</td>\n",
              "      <td>0.070000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>0.995540</td>\n",
              "      <td>3.21000</td>\n",
              "      <td>0.550000</td>\n",
              "      <td>9.500000</td>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>7.900000</td>\n",
              "      <td>0.520000</td>\n",
              "      <td>0.250000</td>\n",
              "      <td>2.200000</td>\n",
              "      <td>0.079000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>0.996770</td>\n",
              "      <td>3.31000</td>\n",
              "      <td>0.620000</td>\n",
              "      <td>10.100000</td>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.300000</td>\n",
              "      <td>0.635000</td>\n",
              "      <td>0.430000</td>\n",
              "      <td>2.600000</td>\n",
              "      <td>0.090000</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>61.000000</td>\n",
              "      <td>0.997870</td>\n",
              "      <td>3.40000</td>\n",
              "      <td>0.730000</td>\n",
              "      <td>11.100000</td>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>15.900000</td>\n",
              "      <td>1.330000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>15.400000</td>\n",
              "      <td>0.610000</td>\n",
              "      <td>72.000000</td>\n",
              "      <td>278.000000</td>\n",
              "      <td>1.003690</td>\n",
              "      <td>4.01000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>14.900000</td>\n",
              "      <td>8.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       fixed acidity  volatile acidity  ...     alcohol     quality\n",
              "count     959.000000        959.000000  ...  959.000000  959.000000\n",
              "mean        8.329093          0.526809  ...   10.433160    5.657977\n",
              "std         1.808394          0.175221  ...    1.084349    0.805654\n",
              "min         4.600000          0.120000  ...    8.400000    3.000000\n",
              "25%         7.100000          0.400000  ...    9.500000    5.000000\n",
              "50%         7.900000          0.520000  ...   10.100000    6.000000\n",
              "75%         9.300000          0.635000  ...   11.100000    6.000000\n",
              "max        15.900000          1.330000  ...   14.900000    8.000000\n",
              "\n",
              "[8 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JWXJ2CZQuylE"
      },
      "source": [
        "Testowy Wykres (quality, volatile acidity)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405
        },
        "id": "HbsfwCL7XpNe",
        "outputId": "3e95f7ba-b73f-4861-e3a5-c3ec3029e3a5"
      },
      "source": [
        "fig = plt.figure(figsize = (10,6))\n",
        "sns.barplot(x = 'quality', y = 'volatile acidity', data = wine)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8a1e433c10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1W_oRCVczIgJ"
      },
      "source": [
        "## 3.2. Zbiór Test"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "LJzygNqKzOWY",
        "outputId": "b5751c9a-6f9e-48b8-88c2-0b6feec17af9"
      },
      "source": [
        "wine_test"
      ],
      "execution_count": 11,
      "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>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>75</th>\n",
              "      <td>8.8</td>\n",
              "      <td>0.410</td>\n",
              "      <td>0.64</td>\n",
              "      <td>2.2</td>\n",
              "      <td>0.093</td>\n",
              "      <td>9.0</td>\n",
              "      <td>42.0</td>\n",
              "      <td>0.99860</td>\n",
              "      <td>3.54</td>\n",
              "      <td>0.66</td>\n",
              "      <td>10.5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1283</th>\n",
              "      <td>8.7</td>\n",
              "      <td>0.630</td>\n",
              "      <td>0.28</td>\n",
              "      <td>2.7</td>\n",
              "      <td>0.096</td>\n",
              "      <td>17.0</td>\n",
              "      <td>69.0</td>\n",
              "      <td>0.99734</td>\n",
              "      <td>3.26</td>\n",
              "      <td>0.63</td>\n",
              "      <td>10.2</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>408</th>\n",
              "      <td>10.4</td>\n",
              "      <td>0.340</td>\n",
              "      <td>0.58</td>\n",
              "      <td>3.7</td>\n",
              "      <td>0.174</td>\n",
              "      <td>6.0</td>\n",
              "      <td>16.0</td>\n",
              "      <td>0.99700</td>\n",
              "      <td>3.19</td>\n",
              "      <td>0.70</td>\n",
              "      <td>11.3</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1281</th>\n",
              "      <td>7.1</td>\n",
              "      <td>0.460</td>\n",
              "      <td>0.20</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.077</td>\n",
              "      <td>28.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>0.99560</td>\n",
              "      <td>3.37</td>\n",
              "      <td>0.64</td>\n",
              "      <td>10.4</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1118</th>\n",
              "      <td>7.1</td>\n",
              "      <td>0.390</td>\n",
              "      <td>0.12</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.065</td>\n",
              "      <td>14.0</td>\n",
              "      <td>24.0</td>\n",
              "      <td>0.99252</td>\n",
              "      <td>3.30</td>\n",
              "      <td>0.53</td>\n",
              "      <td>13.3</td>\n",
              "      <td>6</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>1461</th>\n",
              "      <td>6.2</td>\n",
              "      <td>0.785</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0.060</td>\n",
              "      <td>6.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>0.99664</td>\n",
              "      <td>3.59</td>\n",
              "      <td>0.61</td>\n",
              "      <td>10.0</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1016</th>\n",
              "      <td>8.9</td>\n",
              "      <td>0.380</td>\n",
              "      <td>0.40</td>\n",
              "      <td>2.2</td>\n",
              "      <td>0.068</td>\n",
              "      <td>12.0</td>\n",
              "      <td>28.0</td>\n",
              "      <td>0.99486</td>\n",
              "      <td>3.27</td>\n",
              "      <td>0.75</td>\n",
              "      <td>12.6</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1412</th>\n",
              "      <td>8.2</td>\n",
              "      <td>0.240</td>\n",
              "      <td>0.34</td>\n",
              "      <td>5.1</td>\n",
              "      <td>0.062</td>\n",
              "      <td>8.0</td>\n",
              "      <td>22.0</td>\n",
              "      <td>0.99740</td>\n",
              "      <td>3.22</td>\n",
              "      <td>0.94</td>\n",
              "      <td>10.9</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>424</th>\n",
              "      <td>7.7</td>\n",
              "      <td>0.960</td>\n",
              "      <td>0.20</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.047</td>\n",
              "      <td>15.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>0.99550</td>\n",
              "      <td>3.36</td>\n",
              "      <td>0.44</td>\n",
              "      <td>10.9</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>120</th>\n",
              "      <td>7.3</td>\n",
              "      <td>1.070</td>\n",
              "      <td>0.09</td>\n",
              "      <td>1.7</td>\n",
              "      <td>0.178</td>\n",
              "      <td>10.0</td>\n",
              "      <td>89.0</td>\n",
              "      <td>0.99620</td>\n",
              "      <td>3.30</td>\n",
              "      <td>0.57</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>360 rows × 12 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      fixed acidity  volatile acidity  citric acid  ...  sulphates  alcohol  quality\n",
              "75              8.8             0.410         0.64  ...       0.66     10.5        5\n",
              "1283            8.7             0.630         0.28  ...       0.63     10.2        6\n",
              "408            10.4             0.340         0.58  ...       0.70     11.3        6\n",
              "1281            7.1             0.460         0.20  ...       0.64     10.4        6\n",
              "1118            7.1             0.390         0.12  ...       0.53     13.3        6\n",
              "...             ...               ...          ...  ...        ...      ...      ...\n",
              "1461            6.2             0.785         0.00  ...       0.61     10.0        4\n",
              "1016            8.9             0.380         0.40  ...       0.75     12.6        7\n",
              "1412            8.2             0.240         0.34  ...       0.94     10.9        6\n",
              "424             7.7             0.960         0.20  ...       0.44     10.9        5\n",
              "120             7.3             1.070         0.09  ...       0.57      9.0        5\n",
              "\n",
              "[360 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1IAtBylEzS8w",
        "outputId": "538fe66b-8dc1-4338-d0d8-492fbef2940e"
      },
      "source": [
        "wine_test[\"quality\"].value_counts()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5    155\n",
              "6    149\n",
              "7     37\n",
              "4     16\n",
              "8      2\n",
              "3      1\n",
              "Name: quality, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "V-9cwcrczS-3",
        "outputId": "78da725e-3105-4d3e-8880-00dbc8cf8910"
      },
      "source": [
        "wine_test.describe(include='all')"
      ],
      "execution_count": 13,
      "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>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>count</th>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "      <td>360.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>8.348611</td>\n",
              "      <td>0.518764</td>\n",
              "      <td>0.275444</td>\n",
              "      <td>2.542222</td>\n",
              "      <td>0.086114</td>\n",
              "      <td>16.093056</td>\n",
              "      <td>48.777778</td>\n",
              "      <td>0.996747</td>\n",
              "      <td>3.301083</td>\n",
              "      <td>0.653833</td>\n",
              "      <td>10.368889</td>\n",
              "      <td>5.586111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.580574</td>\n",
              "      <td>0.182554</td>\n",
              "      <td>0.182508</td>\n",
              "      <td>1.528465</td>\n",
              "      <td>0.043445</td>\n",
              "      <td>10.421097</td>\n",
              "      <td>35.005778</td>\n",
              "      <td>0.001792</td>\n",
              "      <td>0.145379</td>\n",
              "      <td>0.168306</td>\n",
              "      <td>1.041729</td>\n",
              "      <td>0.767245</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>5.000000</td>\n",
              "      <td>0.120000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.900000</td>\n",
              "      <td>0.042000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.990070</td>\n",
              "      <td>2.870000</td>\n",
              "      <td>0.370000</td>\n",
              "      <td>8.700000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>7.200000</td>\n",
              "      <td>0.380000</td>\n",
              "      <td>0.120000</td>\n",
              "      <td>1.900000</td>\n",
              "      <td>0.070000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>23.000000</td>\n",
              "      <td>0.995760</td>\n",
              "      <td>3.210000</td>\n",
              "      <td>0.550000</td>\n",
              "      <td>9.500000</td>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>8.000000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.270000</td>\n",
              "      <td>2.150000</td>\n",
              "      <td>0.079000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>0.996645</td>\n",
              "      <td>3.300000</td>\n",
              "      <td>0.620000</td>\n",
              "      <td>10.100000</td>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.200000</td>\n",
              "      <td>0.640000</td>\n",
              "      <td>0.420000</td>\n",
              "      <td>2.600000</td>\n",
              "      <td>0.090000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>65.750000</td>\n",
              "      <td>0.997683</td>\n",
              "      <td>3.390000</td>\n",
              "      <td>0.720000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>15.600000</td>\n",
              "      <td>1.115000</td>\n",
              "      <td>0.790000</td>\n",
              "      <td>15.500000</td>\n",
              "      <td>0.611000</td>\n",
              "      <td>68.000000</td>\n",
              "      <td>289.000000</td>\n",
              "      <td>1.003690</td>\n",
              "      <td>3.750000</td>\n",
              "      <td>1.950000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>8.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       fixed acidity  volatile acidity  ...     alcohol     quality\n",
              "count     360.000000        360.000000  ...  360.000000  360.000000\n",
              "mean        8.348611          0.518764  ...   10.368889    5.586111\n",
              "std         1.580574          0.182554  ...    1.041729    0.767245\n",
              "min         5.000000          0.120000  ...    8.700000    3.000000\n",
              "25%         7.200000          0.380000  ...    9.500000    5.000000\n",
              "50%         8.000000          0.500000  ...   10.100000    6.000000\n",
              "75%         9.200000          0.640000  ...   11.000000    6.000000\n",
              "max        15.600000          1.115000  ...   14.000000    8.000000\n",
              "\n",
              "[8 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wzaUXARnu824"
      },
      "source": [
        "Testowy Wykres (quality, volatile acidity)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405
        },
        "id": "3GksWzExaHV7",
        "outputId": "e7076b4b-79b9-4c9b-a1e8-44b5897175ce"
      },
      "source": [
        "fig = plt.figure(figsize = (10,6))\n",
        "sns.barplot(x = 'quality', y = 'volatile acidity', data = wine)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8a0bec96d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w5xmkUgGzdxs"
      },
      "source": [
        "## 3.3. Cały zbiór"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "thGHHVJXzeGe",
        "outputId": "84c93f9c-516a-43fd-d4d8-656907ba66ac"
      },
      "source": [
        "wine"
      ],
      "execution_count": 15,
      "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>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": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ua_ctPpVzeKJ",
        "outputId": "358ff4d0-bc4b-489e-dd00-b3cf31b4ccfd"
      },
      "source": [
        "wine[\"quality\"].value_counts()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5    681\n",
              "6    638\n",
              "7    199\n",
              "4     53\n",
              "8     18\n",
              "3     10\n",
              "Name: quality, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "-06v1i7XzeOz",
        "outputId": "54a6e104-8137-41a5-a65c-41bf2ff5203f"
      },
      "source": [
        "wine.describe(include='all')"
      ],
      "execution_count": 17,
      "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>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>count</th>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "      <td>1599.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>8.319637</td>\n",
              "      <td>0.527821</td>\n",
              "      <td>0.270976</td>\n",
              "      <td>2.538806</td>\n",
              "      <td>0.087467</td>\n",
              "      <td>15.874922</td>\n",
              "      <td>46.467792</td>\n",
              "      <td>0.996747</td>\n",
              "      <td>3.311113</td>\n",
              "      <td>0.658149</td>\n",
              "      <td>10.422983</td>\n",
              "      <td>5.636023</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.741096</td>\n",
              "      <td>0.179060</td>\n",
              "      <td>0.194801</td>\n",
              "      <td>1.409928</td>\n",
              "      <td>0.047065</td>\n",
              "      <td>10.460157</td>\n",
              "      <td>32.895324</td>\n",
              "      <td>0.001887</td>\n",
              "      <td>0.154386</td>\n",
              "      <td>0.169507</td>\n",
              "      <td>1.065668</td>\n",
              "      <td>0.807569</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>4.600000</td>\n",
              "      <td>0.120000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.900000</td>\n",
              "      <td>0.012000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.990070</td>\n",
              "      <td>2.740000</td>\n",
              "      <td>0.330000</td>\n",
              "      <td>8.400000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>7.100000</td>\n",
              "      <td>0.390000</td>\n",
              "      <td>0.090000</td>\n",
              "      <td>1.900000</td>\n",
              "      <td>0.070000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>0.995600</td>\n",
              "      <td>3.210000</td>\n",
              "      <td>0.550000</td>\n",
              "      <td>9.500000</td>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>7.900000</td>\n",
              "      <td>0.520000</td>\n",
              "      <td>0.260000</td>\n",
              "      <td>2.200000</td>\n",
              "      <td>0.079000</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>38.000000</td>\n",
              "      <td>0.996750</td>\n",
              "      <td>3.310000</td>\n",
              "      <td>0.620000</td>\n",
              "      <td>10.200000</td>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>9.200000</td>\n",
              "      <td>0.640000</td>\n",
              "      <td>0.420000</td>\n",
              "      <td>2.600000</td>\n",
              "      <td>0.090000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>62.000000</td>\n",
              "      <td>0.997835</td>\n",
              "      <td>3.400000</td>\n",
              "      <td>0.730000</td>\n",
              "      <td>11.100000</td>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>15.900000</td>\n",
              "      <td>1.580000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>15.500000</td>\n",
              "      <td>0.611000</td>\n",
              "      <td>72.000000</td>\n",
              "      <td>289.000000</td>\n",
              "      <td>1.003690</td>\n",
              "      <td>4.010000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>14.900000</td>\n",
              "      <td>8.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       fixed acidity  volatile acidity  ...      alcohol      quality\n",
              "count    1599.000000       1599.000000  ...  1599.000000  1599.000000\n",
              "mean        8.319637          0.527821  ...    10.422983     5.636023\n",
              "std         1.741096          0.179060  ...     1.065668     0.807569\n",
              "min         4.600000          0.120000  ...     8.400000     3.000000\n",
              "25%         7.100000          0.390000  ...     9.500000     5.000000\n",
              "50%         7.900000          0.520000  ...    10.200000     6.000000\n",
              "75%         9.200000          0.640000  ...    11.100000     6.000000\n",
              "max        15.900000          1.580000  ...    14.900000     8.000000\n",
              "\n",
              "[8 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "t8Y53QPyu_fO"
      },
      "source": [
        "Testowy Wykres (quality, volatile acidity)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 405
        },
        "id": "hEe3BYcJaKnF",
        "outputId": "ccaf5bc0-889b-453b-f50b-eae3f8c50ee6"
      },
      "source": [
        "fig = plt.figure(figsize = (10,6))\n",
        "sns.barplot(x = 'quality', y = 'volatile acidity', data = wine)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8a0be6e9d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ftWOC-do2Pq-"
      },
      "source": [
        "# 4. Normalizacja"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wm0EM2hj4s6V"
      },
      "source": [
        "Normalizacja kolumny 'quality' na wartości od 0 do 20. Nie jest ona konieczna ale została stworzona w celach demonstracyjnych"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EkZQ6Hpy2Tj_"
      },
      "source": [
        "wine[\"quality\"]=((wine[\"quality\"]-wine[\"quality\"].min())/(wine[\"quality\"].max()-wine[\"quality\"].min()))*20"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "_bQgYfct3Tir",
        "outputId": "b15a9922-3a36-47af-eb8d-762adf593ae7"
      },
      "source": [
        "wine"
      ],
      "execution_count": 20,
      "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>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>8.0</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>8.0</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>8.0</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>12.0</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>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <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>8.0</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>12.0</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>12.0</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>8.0</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>12.0</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      8.0\n",
              "1               7.8             0.880         0.00  ...       0.68      9.8      8.0\n",
              "2               7.8             0.760         0.04  ...       0.65      9.8      8.0\n",
              "3              11.2             0.280         0.56  ...       0.58      9.8     12.0\n",
              "4               7.4             0.700         0.00  ...       0.56      9.4      8.0\n",
              "...             ...               ...          ...  ...        ...      ...      ...\n",
              "1594            6.2             0.600         0.08  ...       0.58     10.5      8.0\n",
              "1595            5.9             0.550         0.10  ...       0.76     11.2     12.0\n",
              "1596            6.3             0.510         0.13  ...       0.75     11.0     12.0\n",
              "1597            5.9             0.645         0.12  ...       0.71     10.2      8.0\n",
              "1598            6.0             0.310         0.47  ...       0.66     11.0     12.0\n",
              "\n",
              "[1599 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I1AwZoyN4RHs",
        "outputId": "81a417a4-236b-41e1-8d26-4462b2e13711"
      },
      "source": [
        "wine[\"quality\"].value_counts()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8.0     681\n",
              "12.0    638\n",
              "16.0    199\n",
              "4.0      53\n",
              "20.0     18\n",
              "0.0      10\n",
              "Name: quality, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XBU3z_of414w"
      },
      "source": [
        "# 5. Usuwanie artefaktów"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KCstRwQp5-X1"
      },
      "source": [
        "### Całe szczęscie nie ma w moim zbiorze ani pustych linijek, ani przykładów z niepoprawnymi wartościami"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EJqksTP545UV"
      },
      "source": [
        "# Znajdźmy pustą linijkę:\n",
        "! grep -P \"^$\" -n winequality-red.csv"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8DuoPn3Fa0kP"
      },
      "source": [
        "Szukanie wartości \"NA\": https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dropna.html"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "REYF2AWjz_lr",
        "outputId": "148c1b42-d301-4208-e09a-2333ce73c5e1"
      },
      "source": [
        "wine.isnull().sum()"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "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"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RbkqNj9_akcU"
      },
      "source": [
        "wine.dropna(inplace=True) "
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "4WylJo9malyG",
        "outputId": "8858109b-c7e8-4ddc-de07-790bcb39c5a4"
      },
      "source": [
        "wine"
      ],
      "execution_count": 25,
      "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>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>8.0</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>8.0</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>8.0</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>12.0</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>8.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <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>8.0</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>12.0</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>12.0</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>8.0</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>12.0</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      8.0\n",
              "1               7.8             0.880         0.00  ...       0.68      9.8      8.0\n",
              "2               7.8             0.760         0.04  ...       0.65      9.8      8.0\n",
              "3              11.2             0.280         0.56  ...       0.58      9.8     12.0\n",
              "4               7.4             0.700         0.00  ...       0.56      9.4      8.0\n",
              "...             ...               ...          ...  ...        ...      ...      ...\n",
              "1594            6.2             0.600         0.08  ...       0.58     10.5      8.0\n",
              "1595            5.9             0.550         0.10  ...       0.76     11.2     12.0\n",
              "1596            6.3             0.510         0.13  ...       0.75     11.0     12.0\n",
              "1597            5.9             0.645         0.12  ...       0.71     10.2      8.0\n",
              "1598            6.0             0.310         0.47  ...       0.66     11.0     12.0\n",
              "\n",
              "[1599 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    }
  ]
}