From 138980d54a0059120504f9d05f90cc017634801a Mon Sep 17 00:00:00 2001
From: Dominik <sylvaripl@gmail.com>
Date: Fri, 26 Mar 2021 18:14:07 +0100
Subject: [PATCH] =?UTF-8?q?Poprawka=20do=201=20zadania=20(przy=20u=C5=BCyc?=
 =?UTF-8?q?iu=20basha)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 IUM_1_434788.ipynb | 1666 ++++++++++++++++++++++++++++++--------------
 1 file changed, 1142 insertions(+), 524 deletions(-)

diff --git a/IUM_1_434788.ipynb b/IUM_1_434788.ipynb
index aa6d173..31e0c66 100644
--- a/IUM_1_434788.ipynb
+++ b/IUM_1_434788.ipynb
@@ -30,7 +30,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "-03GDjWtxD7W",
-        "outputId": "35c4ed64-62c4-47f9-a407-571b072bf831"
+        "outputId": "3cefd33d-3ef4-4c16-963e-ffa6e9e781de"
       },
       "source": [
         "!curl -OL https://git.wmi.amu.edu.pl/s434788/ium_434788/raw/branch/master/winequality-red.csv"
@@ -42,7 +42,7 @@
           "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"
+            "100   98k    0   98k    0     0  74502      0 --:--:--  0:00:01 --:--:-- 74502\n"
           ],
           "name": "stdout"
         }
@@ -56,7 +56,7 @@
           "height": 419
         },
         "id": "sAUNi0ylxWUm",
-        "outputId": "27072275-680f-4154-bdf2-e952a63ab25e"
+        "outputId": "fe879388-072d-4845-f3b5-f06a4fca5f1e"
       },
       "source": [
         "import pandas as pd\n",
@@ -302,7 +302,16 @@
         "id": "4H-i6DJlxduP"
       },
       "source": [
-        "# 2. Podział na zbiory test/train przy pomocy SciKit"
+        "# 2. Podział na zbiory test/train przy pomocy SciKit + (poprawka z 26.03.2021 przy pomocy basha)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Rf49qKC-eqEU"
+      },
+      "source": [
+        "## 2.1 SciKit"
       ]
     },
     {
@@ -343,7 +352,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "OzjEfgNOyAWs",
-        "outputId": "0035e197-98c9-4a15-c1f9-23742d6a0595"
+        "outputId": "7e7bb70f-2b1e-422c-9500-d411884d8d5a"
       },
       "source": [
         "wine_test[\"quality\"].value_counts()"
@@ -377,7 +386,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "SpQZIuSxyAd0",
-        "outputId": "6302469b-8853-45ea-b4d4-eae6078e96cf"
+        "outputId": "96505a9a-d2e7-44a1-b2cf-ee40d6d7d3d0"
       },
       "source": [
         "wine_train[\"quality\"].value_counts()"
@@ -404,13 +413,82 @@
         }
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "YK0491tAeupD"
+      },
+      "source": [
+        "## 2.2 Bash"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "1idNUz-9eyfJ"
+      },
+      "source": [
+        "!head -n 1 winequality-red.csv > header.csv\n",
+        "!tail -n +2 winequality-red.csv | shuf > data.shuffled\n",
+        "\n",
+        "!head -n 266 data.shuffled > wine.data.test\n",
+        "!head -n 532 data.shuffled | tail -n 266 > wine.data.dev\n",
+        "!tail -n +333 data.shuffled > wine.data.train\n",
+        "\n",
+        "!cat header.csv wine.data.test > test.csv\n",
+        "!cat header.csv wine.data.dev > dev.csv\n",
+        "!cat header.csv wine.data.train > train.csv"
+      ],
+      "execution_count": 6,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "-C4RRDH2fFEp",
+        "outputId": "93944a72-838c-4e2b-a907-de4b0902fcb1"
+      },
+      "source": [
+        "!wc -l test.csv\n",
+        "!wc -l dev.csv\n",
+        "!wc -l train.csv"
+      ],
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "267 test.csv\n",
+            "267 dev.csv\n",
+            "1268 train.csv\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "wLlI-k_jfb70"
+      },
+      "source": [
+        "wine_test_bash=pd.read_csv('test.csv')\n",
+        "wine_dev_bash=pd.read_csv('dev.csv')\n",
+        "wine_train_bash=pd.read_csv('train.csv')"
+      ],
+      "execution_count": 8,
+      "outputs": []
+    },
     {
       "cell_type": "markdown",
       "metadata": {
         "id": "wAq8KmNdyNOm"
       },
       "source": [
-        "# 3. Statystyki dla zbior"
+        "# 3. Statystyki dla zbiorów"
       ]
     },
     {
@@ -422,7 +500,7 @@
         "from matplotlib import pyplot as plt\n",
         "import seaborn as sns"
       ],
-      "execution_count": 6,
+      "execution_count": 9,
       "outputs": []
     },
     {
@@ -431,7 +509,7 @@
         "id": "EjDFpgdPy_of"
       },
       "source": [
-        "## 3.1. Zbiór Train"
+        "## 3.1. Zbiór Train (bash)"
       ]
     },
     {
@@ -442,12 +520,12 @@
           "height": 419
         },
         "id": "SscUak3AydG0",
-        "outputId": "edcf5523-066f-4c75-bc9c-1628a413edf7"
+        "outputId": "5f0bd8df-1753-4211-e3a6-8ce2685146f9"
       },
       "source": [
-        "wine_train"
+        "wine_train_bash"
       ],
-      "execution_count": 7,
+      "execution_count": 10,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -487,78 +565,78 @@
               "  </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",
+              "      <th>0</th>\n",
+              "      <td>10.0</td>\n",
+              "      <td>0.380</td>\n",
+              "      <td>0.38</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.169</td>\n",
+              "      <td>27.0</td>\n",
+              "      <td>90.0</td>\n",
+              "      <td>0.99914</td>\n",
+              "      <td>3.15</td>\n",
+              "      <td>0.65</td>\n",
+              "      <td>8.5</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.460</td>\n",
+              "      <td>0.24</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.077</td>\n",
+              "      <td>18.0</td>\n",
+              "      <td>34.0</td>\n",
+              "      <td>0.99480</td>\n",
+              "      <td>3.39</td>\n",
+              "      <td>0.60</td>\n",
+              "      <td>10.6</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>7.2</td>\n",
+              "      <td>0.695</td>\n",
+              "      <td>0.13</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>0.076</td>\n",
+              "      <td>12.0</td>\n",
+              "      <td>20.0</td>\n",
+              "      <td>0.99546</td>\n",
               "      <td>3.29</td>\n",
               "      <td>0.54</td>\n",
-              "      <td>9.2</td>\n",
+              "      <td>10.1</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",
+              "      <th>3</th>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.600</td>\n",
+              "      <td>0.49</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>0.100</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>14.0</td>\n",
+              "      <td>1.00100</td>\n",
+              "      <td>3.25</td>\n",
+              "      <td>0.74</td>\n",
+              "      <td>11.9</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",
+              "      <th>4</th>\n",
+              "      <td>8.3</td>\n",
+              "      <td>0.560</td>\n",
+              "      <td>0.22</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.082</td>\n",
+              "      <td>10.0</td>\n",
+              "      <td>86.0</td>\n",
+              "      <td>0.99830</td>\n",
+              "      <td>3.37</td>\n",
+              "      <td>0.62</td>\n",
+              "      <td>9.5</td>\n",
               "      <td>5</td>\n",
               "    </tr>\n",
               "    <tr>\n",
@@ -577,106 +655,106 @@
               "      <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",
+              "      <th>1262</th>\n",
+              "      <td>7.8</td>\n",
+              "      <td>0.560</td>\n",
+              "      <td>0.12</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>0.082</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>28.0</td>\n",
               "      <td>0.99700</td>\n",
-              "      <td>3.44</td>\n",
-              "      <td>0.52</td>\n",
+              "      <td>3.37</td>\n",
+              "      <td>0.50</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",
+              "      <th>1263</th>\n",
+              "      <td>5.8</td>\n",
+              "      <td>0.680</td>\n",
+              "      <td>0.02</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.087</td>\n",
+              "      <td>21.0</td>\n",
+              "      <td>94.0</td>\n",
+              "      <td>0.99440</td>\n",
+              "      <td>3.54</td>\n",
+              "      <td>0.52</td>\n",
+              "      <td>10.0</td>\n",
               "      <td>5</td>\n",
               "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1264</th>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.630</td>\n",
+              "      <td>0.08</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>0.076</td>\n",
+              "      <td>15.0</td>\n",
+              "      <td>27.0</td>\n",
+              "      <td>0.99670</td>\n",
+              "      <td>3.32</td>\n",
+              "      <td>0.54</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1265</th>\n",
+              "      <td>7.1</td>\n",
+              "      <td>0.600</td>\n",
+              "      <td>0.00</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.074</td>\n",
+              "      <td>16.0</td>\n",
+              "      <td>34.0</td>\n",
+              "      <td>0.99720</td>\n",
+              "      <td>3.47</td>\n",
+              "      <td>0.70</td>\n",
+              "      <td>9.9</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1266</th>\n",
+              "      <td>10.4</td>\n",
+              "      <td>0.610</td>\n",
+              "      <td>0.49</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>0.200</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>16.0</td>\n",
+              "      <td>0.99940</td>\n",
+              "      <td>3.16</td>\n",
+              "      <td>0.63</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>3</td>\n",
+              "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
-              "<p>959 rows × 12 columns</p>\n",
+              "<p>1267 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",
+              "0              10.0             0.380         0.38  ...       0.65      8.5        5\n",
+              "1               6.7             0.460         0.24  ...       0.60     10.6        6\n",
+              "2               7.2             0.695         0.13  ...       0.54     10.1        5\n",
+              "3              12.5             0.600         0.49  ...       0.74     11.9        6\n",
+              "4               8.3             0.560         0.22  ...       0.62      9.5        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",
+              "1262            7.8             0.560         0.12  ...       0.50      9.4        6\n",
+              "1263            5.8             0.680         0.02  ...       0.52     10.0        5\n",
+              "1264            7.7             0.630         0.08  ...       0.54      9.5        6\n",
+              "1265            7.1             0.600         0.00  ...       0.70      9.9        6\n",
+              "1266           10.4             0.610         0.49  ...       0.63      8.4        3\n",
               "\n",
-              "[959 rows x 12 columns]"
+              "[1267 rows x 12 columns]"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 7
+          "execution_count": 10
         }
       ]
     },
@@ -687,30 +765,30 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "hZAn8j4byMF2",
-        "outputId": "9d7d799f-7018-4b9d-9d4c-153abe0a53f3"
+        "outputId": "c47596aa-0d54-490f-c892-6ee5987a372d"
       },
       "source": [
-        "wine_train[\"quality\"].value_counts()"
+        "wine_train_bash[\"quality\"].value_counts()"
       ],
-      "execution_count": 8,
+      "execution_count": 11,
       "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",
+              "5    550\n",
+              "6    498\n",
+              "7    157\n",
+              "4     39\n",
+              "8     15\n",
+              "3      8\n",
               "Name: quality, dtype: int64"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 8
+          "execution_count": 11
         }
       ]
     },
@@ -722,12 +800,12 @@
           "height": 297
         },
         "id": "EOEuj8sRyL8v",
-        "outputId": "cb7c369c-9bdd-457a-98fe-3537c569730b"
+        "outputId": "d2f102f6-d10c-4dc4-ae3f-fd34dc4e5985"
       },
       "source": [
-        "wine_train.describe(include='all')"
+        "wine_train_bash.describe(include='all')"
       ],
-      "execution_count": 9,
+      "execution_count": 12,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -768,52 +846,52 @@
               "  <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",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</td>\n",
+              "      <td>1267.000000</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",
+              "      <td>8.344199</td>\n",
+              "      <td>0.525888</td>\n",
+              "      <td>0.273891</td>\n",
+              "      <td>2.574033</td>\n",
+              "      <td>0.087419</td>\n",
+              "      <td>15.889897</td>\n",
+              "      <td>46.146014</td>\n",
+              "      <td>0.996799</td>\n",
+              "      <td>3.310016</td>\n",
+              "      <td>0.655730</td>\n",
+              "      <td>10.396725</td>\n",
+              "      <td>5.632991</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",
+              "      <td>1.789253</td>\n",
+              "      <td>0.177804</td>\n",
+              "      <td>0.196141</td>\n",
+              "      <td>1.453463</td>\n",
+              "      <td>0.046754</td>\n",
+              "      <td>10.603674</td>\n",
+              "      <td>32.734818</td>\n",
+              "      <td>0.001893</td>\n",
+              "      <td>0.154047</td>\n",
+              "      <td>0.166206</td>\n",
+              "      <td>1.042353</td>\n",
+              "      <td>0.806931</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>min</th>\n",
-              "      <td>4.600000</td>\n",
+              "      <td>4.700000</td>\n",
               "      <td>0.120000</td>\n",
               "      <td>0.000000</td>\n",
               "      <td>0.900000</td>\n",
@@ -821,7 +899,7 @@
               "      <td>1.000000</td>\n",
               "      <td>6.000000</td>\n",
               "      <td>0.990070</td>\n",
-              "      <td>2.74000</td>\n",
+              "      <td>2.740000</td>\n",
               "      <td>0.370000</td>\n",
               "      <td>8.400000</td>\n",
               "      <td>3.000000</td>\n",
@@ -829,14 +907,14 @@
               "    <tr>\n",
               "      <th>25%</th>\n",
               "      <td>7.100000</td>\n",
-              "      <td>0.400000</td>\n",
+              "      <td>0.390000</td>\n",
               "      <td>0.090000</td>\n",
               "      <td>1.900000</td>\n",
-              "      <td>0.070000</td>\n",
+              "      <td>0.071000</td>\n",
               "      <td>7.000000</td>\n",
               "      <td>22.000000</td>\n",
-              "      <td>0.995540</td>\n",
-              "      <td>3.21000</td>\n",
+              "      <td>0.995660</td>\n",
+              "      <td>3.210000</td>\n",
               "      <td>0.550000</td>\n",
               "      <td>9.500000</td>\n",
               "      <td>5.000000</td>\n",
@@ -845,43 +923,43 @@
               "      <th>50%</th>\n",
               "      <td>7.900000</td>\n",
               "      <td>0.520000</td>\n",
-              "      <td>0.250000</td>\n",
+              "      <td>0.260000</td>\n",
               "      <td>2.200000</td>\n",
-              "      <td>0.079000</td>\n",
-              "      <td>14.000000</td>\n",
+              "      <td>0.080000</td>\n",
+              "      <td>13.000000</td>\n",
               "      <td>37.000000</td>\n",
-              "      <td>0.996770</td>\n",
-              "      <td>3.31000</td>\n",
+              "      <td>0.996800</td>\n",
+              "      <td>3.310000</td>\n",
               "      <td>0.620000</td>\n",
-              "      <td>10.100000</td>\n",
+              "      <td>10.200000</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>0.640000</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>62.000000</td>\n",
               "      <td>0.997870</td>\n",
-              "      <td>3.40000</td>\n",
+              "      <td>3.400000</td>\n",
               "      <td>0.730000</td>\n",
-              "      <td>11.100000</td>\n",
+              "      <td>11.000000</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>1.580000</td>\n",
               "      <td>1.000000</td>\n",
-              "      <td>15.400000</td>\n",
-              "      <td>0.610000</td>\n",
+              "      <td>15.500000</td>\n",
+              "      <td>0.611000</td>\n",
               "      <td>72.000000</td>\n",
               "      <td>278.000000</td>\n",
               "      <td>1.003690</td>\n",
-              "      <td>4.01000</td>\n",
+              "      <td>4.010000</td>\n",
               "      <td>2.000000</td>\n",
               "      <td>14.900000</td>\n",
               "      <td>8.000000</td>\n",
@@ -891,15 +969,15 @@
               "</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",
+              "       fixed acidity  volatile acidity  ...      alcohol      quality\n",
+              "count    1267.000000       1267.000000  ...  1267.000000  1267.000000\n",
+              "mean        8.344199          0.525888  ...    10.396725     5.632991\n",
+              "std         1.789253          0.177804  ...     1.042353     0.806931\n",
+              "min         4.700000          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%         9.300000          0.640000  ...    11.000000     6.000000\n",
+              "max        15.900000          1.580000  ...    14.900000     8.000000\n",
               "\n",
               "[8 rows x 12 columns]"
             ]
@@ -907,7 +985,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 9
+          "execution_count": 12
         }
       ]
     },
@@ -925,33 +1003,33 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 405
+          "height": 408
         },
         "id": "HbsfwCL7XpNe",
-        "outputId": "3e95f7ba-b73f-4861-e3a5-c3ec3029e3a5"
+        "outputId": "249d8110-1b17-41ad-e1b1-18b0aa12ff06"
       },
       "source": [
         "fig = plt.figure(figsize = (10,6))\n",
-        "sns.barplot(x = 'quality', y = 'volatile acidity', data = wine)"
+        "sns.barplot(x = 'quality', y = 'volatile acidity', data = wine_train_bash)"
       ],
-      "execution_count": 10,
+      "execution_count": 13,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8a1e433c10>"
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2504f98950>"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 10
+          "execution_count": 13
         },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
+            "image/png": "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\n",
             "text/plain": [
               "<Figure size 720x432 with 1 Axes>"
             ]
@@ -969,7 +1047,7 @@
         "id": "1W_oRCVczIgJ"
       },
       "source": [
-        "## 3.2. Zbiór Test"
+        "## 3.2. Zbiór Test (bash)"
       ]
     },
     {
@@ -980,12 +1058,12 @@
           "height": 419
         },
         "id": "LJzygNqKzOWY",
-        "outputId": "b5751c9a-6f9e-48b8-88c2-0b6feec17af9"
+        "outputId": "d4f8dd3b-793c-4e02-a6ea-fbdb8fbf7a19"
       },
       "source": [
-        "wine_test"
+        "wine_test_bash"
       ],
-      "execution_count": 11,
+      "execution_count": 14,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1025,78 +1103,78 @@
               "  </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",
+              "      <th>0</th>\n",
+              "      <td>7.1</td>\n",
+              "      <td>0.60</td>\n",
+              "      <td>0.01</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>0.079</td>\n",
+              "      <td>24.0</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>0.99514</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>0.61</td>\n",
+              "      <td>10.9</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>7.8</td>\n",
+              "      <td>0.61</td>\n",
+              "      <td>0.29</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.114</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>29.0</td>\n",
+              "      <td>0.99740</td>\n",
+              "      <td>3.26</td>\n",
+              "      <td>1.56</td>\n",
+              "      <td>9.1</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",
+              "      <th>2</th>\n",
+              "      <td>7.1</td>\n",
               "      <td>0.63</td>\n",
-              "      <td>10.2</td>\n",
-              "      <td>6</td>\n",
+              "      <td>0.06</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>0.083</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>29.0</td>\n",
+              "      <td>0.99855</td>\n",
+              "      <td>3.67</td>\n",
+              "      <td>0.73</td>\n",
+              "      <td>9.6</td>\n",
+              "      <td>5</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",
+              "      <th>3</th>\n",
+              "      <td>9.1</td>\n",
+              "      <td>0.30</td>\n",
+              "      <td>0.41</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>0.068</td>\n",
+              "      <td>10.0</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>0.99523</td>\n",
+              "      <td>3.27</td>\n",
+              "      <td>0.85</td>\n",
+              "      <td>11.7</td>\n",
+              "      <td>7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>9.0</td>\n",
+              "      <td>0.46</td>\n",
+              "      <td>0.31</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.093</td>\n",
+              "      <td>19.0</td>\n",
+              "      <td>98.0</td>\n",
+              "      <td>0.99815</td>\n",
+              "      <td>3.32</td>\n",
+              "      <td>0.63</td>\n",
+              "      <td>9.5</td>\n",
               "      <td>6</td>\n",
               "    </tr>\n",
               "    <tr>\n",
@@ -1115,106 +1193,106 @@
               "      <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",
+              "      <th>261</th>\n",
+              "      <td>7.2</td>\n",
+              "      <td>0.60</td>\n",
+              "      <td>0.04</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>0.076</td>\n",
+              "      <td>18.0</td>\n",
+              "      <td>88.0</td>\n",
+              "      <td>0.99745</td>\n",
+              "      <td>3.53</td>\n",
+              "      <td>0.55</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>262</th>\n",
+              "      <td>8.4</td>\n",
+              "      <td>0.67</td>\n",
+              "      <td>0.19</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.093</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>75.0</td>\n",
+              "      <td>0.99736</td>\n",
+              "      <td>3.20</td>\n",
+              "      <td>0.59</td>\n",
+              "      <td>9.2</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",
+              "      <th>263</th>\n",
+              "      <td>8.8</td>\n",
+              "      <td>0.61</td>\n",
+              "      <td>0.19</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>0.094</td>\n",
+              "      <td>30.0</td>\n",
+              "      <td>69.0</td>\n",
+              "      <td>0.99787</td>\n",
               "      <td>3.22</td>\n",
-              "      <td>0.94</td>\n",
-              "      <td>10.9</td>\n",
+              "      <td>0.50</td>\n",
+              "      <td>10.0</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",
+              "      <th>264</th>\n",
+              "      <td>9.6</td>\n",
+              "      <td>0.68</td>\n",
+              "      <td>0.24</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.087</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>28.0</td>\n",
+              "      <td>0.99880</td>\n",
+              "      <td>3.14</td>\n",
+              "      <td>0.60</td>\n",
+              "      <td>10.2</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",
+              "      <th>265</th>\n",
+              "      <td>10.5</td>\n",
+              "      <td>0.43</td>\n",
+              "      <td>0.35</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>0.092</td>\n",
+              "      <td>24.0</td>\n",
+              "      <td>70.0</td>\n",
+              "      <td>0.99798</td>\n",
+              "      <td>3.21</td>\n",
+              "      <td>0.69</td>\n",
+              "      <td>10.5</td>\n",
+              "      <td>6</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
-              "<p>360 rows × 12 columns</p>\n",
+              "<p>266 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",
+              "     fixed acidity  volatile acidity  citric acid  ...  sulphates  alcohol  quality\n",
+              "0              7.1              0.60         0.01  ...       0.61     10.9        6\n",
+              "1              7.8              0.61         0.29  ...       1.56      9.1        5\n",
+              "2              7.1              0.63         0.06  ...       0.73      9.6        5\n",
+              "3              9.1              0.30         0.41  ...       0.85     11.7        7\n",
+              "4              9.0              0.46         0.31  ...       0.63      9.5        6\n",
+              "..             ...               ...          ...  ...        ...      ...      ...\n",
+              "261            7.2              0.60         0.04  ...       0.55      9.5        5\n",
+              "262            8.4              0.67         0.19  ...       0.59      9.2        4\n",
+              "263            8.8              0.61         0.19  ...       0.50     10.0        6\n",
+              "264            9.6              0.68         0.24  ...       0.60     10.2        5\n",
+              "265           10.5              0.43         0.35  ...       0.69     10.5        6\n",
               "\n",
-              "[360 rows x 12 columns]"
+              "[266 rows x 12 columns]"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 11
+          "execution_count": 14
         }
       ]
     },
@@ -1225,30 +1303,30 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "1IAtBylEzS8w",
-        "outputId": "538fe66b-8dc1-4338-d0d8-492fbef2940e"
+        "outputId": "1f047c20-f723-490d-ada3-474f5d14db3a"
       },
       "source": [
-        "wine_test[\"quality\"].value_counts()"
+        "wine_test_bash[\"quality\"].value_counts()"
       ],
-      "execution_count": 12,
+      "execution_count": 15,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "5    155\n",
-              "6    149\n",
+              "6    109\n",
+              "5    108\n",
               "7     37\n",
-              "4     16\n",
+              "4      8\n",
               "8      2\n",
-              "3      1\n",
+              "3      2\n",
               "Name: quality, dtype: int64"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 12
+          "execution_count": 15
         }
       ]
     },
@@ -1260,12 +1338,12 @@
           "height": 297
         },
         "id": "V-9cwcrczS-3",
-        "outputId": "78da725e-3105-4d3e-8880-00dbc8cf8910"
+        "outputId": "a8a26e7f-a2c4-4a44-c91a-6ce57be85386"
       },
       "source": [
-        "wine_test.describe(include='all')"
+        "wine_test_bash.describe(include='all')"
       ],
-      "execution_count": 13,
+      "execution_count": 16,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1306,121 +1384,121 @@
               "  <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",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</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",
+              "      <td>8.245865</td>\n",
+              "      <td>0.529455</td>\n",
+              "      <td>0.266203</td>\n",
+              "      <td>2.373308</td>\n",
+              "      <td>0.086823</td>\n",
+              "      <td>15.840226</td>\n",
+              "      <td>47.447368</td>\n",
+              "      <td>0.996499</td>\n",
+              "      <td>3.313195</td>\n",
+              "      <td>0.676241</td>\n",
+              "      <td>10.569925</td>\n",
+              "      <td>5.665414</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",
+              "      <td>1.526175</td>\n",
+              "      <td>0.181583</td>\n",
+              "      <td>0.191968</td>\n",
+              "      <td>1.005345</td>\n",
+              "      <td>0.046159</td>\n",
+              "      <td>10.163096</td>\n",
+              "      <td>34.610379</td>\n",
+              "      <td>0.001772</td>\n",
+              "      <td>0.158871</td>\n",
+              "      <td>0.187786</td>\n",
+              "      <td>1.149728</td>\n",
+              "      <td>0.808497</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>min</th>\n",
-              "      <td>5.000000</td>\n",
-              "      <td>0.120000</td>\n",
+              "      <td>4.600000</td>\n",
+              "      <td>0.180000</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>1.200000</td>\n",
+              "      <td>0.039000</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>7.000000</td>\n",
+              "      <td>0.990840</td>\n",
+              "      <td>2.880000</td>\n",
+              "      <td>0.390000</td>\n",
+              "      <td>9.000000</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>0.392500</td>\n",
+              "      <td>0.100000</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>0.068000</td>\n",
+              "      <td>7.000000</td>\n",
+              "      <td>22.250000</td>\n",
+              "      <td>0.995318</td>\n",
+              "      <td>3.200000</td>\n",
+              "      <td>0.560000</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>0.520000</td>\n",
+              "      <td>0.260000</td>\n",
+              "      <td>2.100000</td>\n",
+              "      <td>0.078000</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>0.996520</td>\n",
+              "      <td>3.310000</td>\n",
+              "      <td>0.640000</td>\n",
+              "      <td>10.250000</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>9.100000</td>\n",
+              "      <td>0.630000</td>\n",
+              "      <td>0.400000</td>\n",
+              "      <td>2.500000</td>\n",
+              "      <td>0.092000</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>62.750000</td>\n",
+              "      <td>0.997600</td>\n",
+              "      <td>3.400000</td>\n",
+              "      <td>0.750000</td>\n",
+              "      <td>11.400000</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>13.300000</td>\n",
+              "      <td>1.330000</td>\n",
+              "      <td>0.740000</td>\n",
+              "      <td>8.800000</td>\n",
+              "      <td>0.467000</td>\n",
+              "      <td>51.000000</td>\n",
               "      <td>289.000000</td>\n",
-              "      <td>1.003690</td>\n",
-              "      <td>3.750000</td>\n",
-              "      <td>1.950000</td>\n",
+              "      <td>1.002600</td>\n",
+              "      <td>3.900000</td>\n",
+              "      <td>1.980000</td>\n",
               "      <td>14.000000</td>\n",
               "      <td>8.000000</td>\n",
               "    </tr>\n",
@@ -1430,14 +1508,14 @@
             ],
             "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",
+              "count     266.000000        266.000000  ...  266.000000  266.000000\n",
+              "mean        8.245865          0.529455  ...   10.569925    5.665414\n",
+              "std         1.526175          0.181583  ...    1.149728    0.808497\n",
+              "min         4.600000          0.180000  ...    9.000000    3.000000\n",
+              "25%         7.200000          0.392500  ...    9.500000    5.000000\n",
+              "50%         8.000000          0.520000  ...   10.250000    6.000000\n",
+              "75%         9.100000          0.630000  ...   11.400000    6.000000\n",
+              "max        13.300000          1.330000  ...   14.000000    8.000000\n",
               "\n",
               "[8 rows x 12 columns]"
             ]
@@ -1445,7 +1523,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 13
+          "execution_count": 16
         }
       ]
     },
@@ -1466,30 +1544,30 @@
           "height": 405
         },
         "id": "3GksWzExaHV7",
-        "outputId": "e7076b4b-79b9-4c9b-a1e8-44b5897175ce"
+        "outputId": "21b77c09-445c-4e06-fcea-6f26d3717870"
       },
       "source": [
         "fig = plt.figure(figsize = (10,6))\n",
-        "sns.barplot(x = 'quality', y = 'volatile acidity', data = wine)"
+        "sns.barplot(x = 'quality', y = 'volatile acidity', data = wine_test_bash)"
       ],
-      "execution_count": 14,
+      "execution_count": 17,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8a0bec96d0>"
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2504747ad0>"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 14
+          "execution_count": 17
         },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": "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\n",
+            "image/png": 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\n",
             "text/plain": [
               "<Figure size 720x432 with 1 Axes>"
             ]
@@ -1518,12 +1596,12 @@
           "height": 419
         },
         "id": "thGHHVJXzeGe",
-        "outputId": "84c93f9c-516a-43fd-d4d8-656907ba66ac"
+        "outputId": "a1bbe5c6-3aef-4a70-82ec-adc2b9d6daf5"
       },
       "source": [
         "wine"
       ],
-      "execution_count": 15,
+      "execution_count": 18,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1752,7 +1830,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 15
+          "execution_count": 18
         }
       ]
     },
@@ -1763,12 +1841,12 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Ua_ctPpVzeKJ",
-        "outputId": "358ff4d0-bc4b-489e-dd00-b3cf31b4ccfd"
+        "outputId": "da95e47b-9e44-42e0-efc0-66631dba99f1"
       },
       "source": [
         "wine[\"quality\"].value_counts()"
       ],
-      "execution_count": 16,
+      "execution_count": 19,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1786,7 +1864,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 16
+          "execution_count": 19
         }
       ]
     },
@@ -1798,12 +1876,12 @@
           "height": 297
         },
         "id": "-06v1i7XzeOz",
-        "outputId": "54a6e104-8137-41a5-a65c-41bf2ff5203f"
+        "outputId": "b0da7e9b-98aa-4af6-8131-359a54c2ac69"
       },
       "source": [
         "wine.describe(include='all')"
       ],
-      "execution_count": 17,
+      "execution_count": 20,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1983,7 +2061,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 17
+          "execution_count": 20
         }
       ]
     },
@@ -2004,30 +2082,559 @@
           "height": 405
         },
         "id": "hEe3BYcJaKnF",
-        "outputId": "ccaf5bc0-889b-453b-f50b-eae3f8c50ee6"
+        "outputId": "cd03275d-d09e-4517-ef76-22b40d9ffa9e"
       },
       "source": [
         "fig = plt.figure(figsize = (10,6))\n",
         "sns.barplot(x = 'quality', y = 'volatile acidity', data = wine)"
       ],
-      "execution_count": 18,
+      "execution_count": 21,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8a0be6e9d0>"
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2504262bd0>"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 18
+          "execution_count": 21
         },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
+            "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": "M4hd_N8EgH57"
+      },
+      "source": [
+        "## 3.4. zbiór Dev (bash)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 419
+        },
+        "id": "XT3hrfW3gOxH",
+        "outputId": "98ef6303-7f2b-4341-e6ad-c19af8750ccc"
+      },
+      "source": [
+        "wine_dev_bash"
+      ],
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>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>8.0</td>\n",
+              "      <td>0.705</td>\n",
+              "      <td>0.05</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>0.074</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>19.0</td>\n",
+              "      <td>0.99620</td>\n",
+              "      <td>3.34</td>\n",
+              "      <td>0.95</td>\n",
+              "      <td>10.5</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>7.6</td>\n",
+              "      <td>0.665</td>\n",
+              "      <td>0.10</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.066</td>\n",
+              "      <td>27.0</td>\n",
+              "      <td>55.0</td>\n",
+              "      <td>0.99655</td>\n",
+              "      <td>3.39</td>\n",
+              "      <td>0.51</td>\n",
+              "      <td>9.3</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>7.8</td>\n",
+              "      <td>0.550</td>\n",
+              "      <td>0.35</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.074</td>\n",
+              "      <td>21.0</td>\n",
+              "      <td>66.0</td>\n",
+              "      <td>0.99740</td>\n",
+              "      <td>3.25</td>\n",
+              "      <td>0.56</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>13.0</td>\n",
+              "      <td>0.320</td>\n",
+              "      <td>0.65</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.093</td>\n",
+              "      <td>15.0</td>\n",
+              "      <td>47.0</td>\n",
+              "      <td>0.99960</td>\n",
+              "      <td>3.05</td>\n",
+              "      <td>0.61</td>\n",
+              "      <td>10.6</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>8.8</td>\n",
+              "      <td>0.610</td>\n",
+              "      <td>0.30</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.088</td>\n",
+              "      <td>17.0</td>\n",
+              "      <td>46.0</td>\n",
+              "      <td>0.99760</td>\n",
+              "      <td>3.26</td>\n",
+              "      <td>0.51</td>\n",
+              "      <td>9.3</td>\n",
+              "      <td>4</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>261</th>\n",
+              "      <td>13.8</td>\n",
+              "      <td>0.490</td>\n",
+              "      <td>0.67</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>0.093</td>\n",
+              "      <td>6.0</td>\n",
+              "      <td>15.0</td>\n",
+              "      <td>0.99860</td>\n",
+              "      <td>3.02</td>\n",
+              "      <td>0.93</td>\n",
+              "      <td>12.0</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>262</th>\n",
+              "      <td>7.1</td>\n",
+              "      <td>0.750</td>\n",
+              "      <td>0.01</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.059</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>18.0</td>\n",
+              "      <td>0.99242</td>\n",
+              "      <td>3.39</td>\n",
+              "      <td>0.40</td>\n",
+              "      <td>12.8</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>263</th>\n",
+              "      <td>9.9</td>\n",
+              "      <td>0.350</td>\n",
+              "      <td>0.41</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>0.083</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>61.0</td>\n",
+              "      <td>0.99820</td>\n",
+              "      <td>3.21</td>\n",
+              "      <td>0.50</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>264</th>\n",
+              "      <td>6.5</td>\n",
+              "      <td>0.520</td>\n",
+              "      <td>0.11</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.073</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>38.0</td>\n",
+              "      <td>0.99550</td>\n",
+              "      <td>3.34</td>\n",
+              "      <td>0.52</td>\n",
+              "      <td>9.3</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>265</th>\n",
+              "      <td>6.8</td>\n",
+              "      <td>0.670</td>\n",
+              "      <td>0.00</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>0.080</td>\n",
+              "      <td>22.0</td>\n",
+              "      <td>39.0</td>\n",
+              "      <td>0.99701</td>\n",
+              "      <td>3.40</td>\n",
+              "      <td>0.74</td>\n",
+              "      <td>9.7</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>266 rows × 12 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     fixed acidity  volatile acidity  citric acid  ...  sulphates  alcohol  quality\n",
+              "0              8.0             0.705         0.05  ...       0.95     10.5        6\n",
+              "1              7.6             0.665         0.10  ...       0.51      9.3        5\n",
+              "2              7.8             0.550         0.35  ...       0.56      9.2        5\n",
+              "3             13.0             0.320         0.65  ...       0.61     10.6        5\n",
+              "4              8.8             0.610         0.30  ...       0.51      9.3        4\n",
+              "..             ...               ...          ...  ...        ...      ...      ...\n",
+              "261           13.8             0.490         0.67  ...       0.93     12.0        6\n",
+              "262            7.1             0.750         0.01  ...       0.40     12.8        6\n",
+              "263            9.9             0.350         0.41  ...       0.50      9.5        5\n",
+              "264            6.5             0.520         0.11  ...       0.52      9.3        5\n",
+              "265            6.8             0.670         0.00  ...       0.74      9.7        5\n",
+              "\n",
+              "[266 rows x 12 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 22
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "lhRktuxPgOsC",
+        "outputId": "612e6163-0b66-4495-fdc1-2a0813efe37e"
+      },
+      "source": [
+        "wine_dev_bash[\"quality\"].value_counts()"
+      ],
+      "execution_count": 23,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "5    115\n",
+              "6    113\n",
+              "7     24\n",
+              "4      9\n",
+              "8      3\n",
+              "3      2\n",
+              "Name: quality, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 23
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "id": "FmOQIZMSgOnK",
+        "outputId": "a7f4b4e8-36a0-4a07-cce4-98caa71ff7d0"
+      },
+      "source": [
+        "wine_dev_bash.describe(include='all')"
+      ],
+      "execution_count": 24,
+      "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>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "      <td>266.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>8.273684</td>\n",
+              "      <td>0.540075</td>\n",
+              "      <td>0.253008</td>\n",
+              "      <td>2.523308</td>\n",
+              "      <td>0.088620</td>\n",
+              "      <td>15.398496</td>\n",
+              "      <td>43.973684</td>\n",
+              "      <td>0.996749</td>\n",
+              "      <td>3.317895</td>\n",
+              "      <td>0.649774</td>\n",
+              "      <td>10.453321</td>\n",
+              "      <td>5.590226</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>1.720592</td>\n",
+              "      <td>0.193856</td>\n",
+              "      <td>0.190330</td>\n",
+              "      <td>1.380498</td>\n",
+              "      <td>0.055825</td>\n",
+              "      <td>10.002219</td>\n",
+              "      <td>30.518712</td>\n",
+              "      <td>0.001930</td>\n",
+              "      <td>0.152003</td>\n",
+              "      <td>0.176930</td>\n",
+              "      <td>1.058010</td>\n",
+              "      <td>0.777841</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>4.900000</td>\n",
+              "      <td>0.120000</td>\n",
+              "      <td>0.000000</td>\n",
+              "      <td>1.300000</td>\n",
+              "      <td>0.012000</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>8.000000</td>\n",
+              "      <td>0.990640</td>\n",
+              "      <td>2.870000</td>\n",
+              "      <td>0.330000</td>\n",
+              "      <td>8.500000</td>\n",
+              "      <td>3.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>7.100000</td>\n",
+              "      <td>0.396250</td>\n",
+              "      <td>0.080000</td>\n",
+              "      <td>1.900000</td>\n",
+              "      <td>0.068250</td>\n",
+              "      <td>8.000000</td>\n",
+              "      <td>20.000000</td>\n",
+              "      <td>0.995525</td>\n",
+              "      <td>3.210000</td>\n",
+              "      <td>0.542500</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>0.240000</td>\n",
+              "      <td>2.200000</td>\n",
+              "      <td>0.079000</td>\n",
+              "      <td>13.000000</td>\n",
+              "      <td>37.000000</td>\n",
+              "      <td>0.996720</td>\n",
+              "      <td>3.320000</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>0.648750</td>\n",
+              "      <td>0.390000</td>\n",
+              "      <td>2.600000</td>\n",
+              "      <td>0.090000</td>\n",
+              "      <td>20.000000</td>\n",
+              "      <td>60.000000</td>\n",
+              "      <td>0.997877</td>\n",
+              "      <td>3.430000</td>\n",
+              "      <td>0.720000</td>\n",
+              "      <td>11.200000</td>\n",
+              "      <td>6.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>15.600000</td>\n",
+              "      <td>1.580000</td>\n",
+              "      <td>0.760000</td>\n",
+              "      <td>13.800000</td>\n",
+              "      <td>0.611000</td>\n",
+              "      <td>66.000000</td>\n",
+              "      <td>141.000000</td>\n",
+              "      <td>1.003150</td>\n",
+              "      <td>3.720000</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     266.000000        266.000000  ...  266.000000  266.000000\n",
+              "mean        8.273684          0.540075  ...   10.453321    5.590226\n",
+              "std         1.720592          0.193856  ...    1.058010    0.777841\n",
+              "min         4.900000          0.120000  ...    8.500000    3.000000\n",
+              "25%         7.100000          0.396250  ...    9.500000    5.000000\n",
+              "50%         7.900000          0.520000  ...   10.200000    6.000000\n",
+              "75%         9.200000          0.648750  ...   11.200000    6.000000\n",
+              "max        15.600000          1.580000  ...   14.000000    8.000000\n",
+              "\n",
+              "[8 rows x 12 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 24
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 405
+        },
+        "id": "j3Z6noeZgOjC",
+        "outputId": "de24703b-50d4-4059-d5e6-ddc0c0f3356c"
+      },
+      "source": [
+        "fig = plt.figure(figsize = (10,6))\n",
+        "sns.barplot(x = 'quality', y = 'volatile acidity', data = wine_dev_bash)"
+      ],
+      "execution_count": 25,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2504166f50>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 25
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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\n",
             "text/plain": [
               "<Figure size 720x432 with 1 Axes>"
             ]
@@ -2065,7 +2672,7 @@
       "source": [
         "wine[\"quality\"]=((wine[\"quality\"]-wine[\"quality\"].min())/(wine[\"quality\"].max()-wine[\"quality\"].min()))*20"
       ],
-      "execution_count": 19,
+      "execution_count": 26,
       "outputs": []
     },
     {
@@ -2076,12 +2683,12 @@
           "height": 419
         },
         "id": "_bQgYfct3Tir",
-        "outputId": "b15a9922-3a36-47af-eb8d-762adf593ae7"
+        "outputId": "8b50d411-b47b-4d4d-d3eb-606d7c134de0"
       },
       "source": [
         "wine"
       ],
-      "execution_count": 20,
+      "execution_count": 27,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2310,7 +2917,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 20
+          "execution_count": 27
         }
       ]
     },
@@ -2321,12 +2928,12 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "I1AwZoyN4RHs",
-        "outputId": "81a417a4-236b-41e1-8d26-4462b2e13711"
+        "outputId": "15a7bca4-8bbe-4749-80b8-5eede667aa07"
       },
       "source": [
         "wine[\"quality\"].value_counts()"
       ],
-      "execution_count": 21,
+      "execution_count": 28,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2344,7 +2951,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 21
+          "execution_count": 28
         }
       ]
     },
@@ -2375,7 +2982,7 @@
         "# Znajdźmy pustą linijkę:\n",
         "! grep -P \"^$\" -n winequality-red.csv"
       ],
-      "execution_count": 22,
+      "execution_count": 29,
       "outputs": []
     },
     {
@@ -2394,12 +3001,12 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "REYF2AWjz_lr",
-        "outputId": "148c1b42-d301-4208-e09a-2333ce73c5e1"
+        "outputId": "01c5cd70-a37e-433f-bde3-d0c855c96c2e"
       },
       "source": [
         "wine.isnull().sum()"
       ],
-      "execution_count": 23,
+      "execution_count": 30,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2423,7 +3030,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 23
+          "execution_count": 30
         }
       ]
     },
@@ -2435,7 +3042,7 @@
       "source": [
         "wine.dropna(inplace=True) "
       ],
-      "execution_count": 24,
+      "execution_count": 31,
       "outputs": []
     },
     {
@@ -2446,12 +3053,12 @@
           "height": 419
         },
         "id": "4WylJo9malyG",
-        "outputId": "8858109b-c7e8-4ddc-de07-790bcb39c5a4"
+        "outputId": "95a9b3f4-a7f5-4f61-fdbe-918dbca2d72c"
       },
       "source": [
         "wine"
       ],
-      "execution_count": 25,
+      "execution_count": 32,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2680,9 +3287,20 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 25
+          "execution_count": 32
         }
       ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "iqsJ9Bfngy-m"
+      },
+      "source": [
+        ""
+      ],
+      "execution_count": null,
+      "outputs": []
     }
   ]
 }
\ No newline at end of file