diff --git a/IUM_dane02.ipynb b/IUM_dane02.ipynb
new file mode 100644
index 0000000..462690f
--- /dev/null
+++ b/IUM_dane02.ipynb
@@ -0,0 +1,1469 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "expected-payroll",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: kaggle in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (1.5.12)\n",
+      "Requirement already satisfied: six>=1.10 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from kaggle) (1.15.0)\n",
+      "Requirement already satisfied: certifi in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from kaggle) (2021.10.8)\n",
+      "Requirement already satisfied: python-dateutil in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from kaggle) (2.8.1)\n",
+      "Requirement already satisfied: requests in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from kaggle) (2.27.1)\n",
+      "Requirement already satisfied: tqdm in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from kaggle) (4.59.0)\n",
+      "Requirement already satisfied: python-slugify in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from kaggle) (6.1.1)\n",
+      "Requirement already satisfied: urllib3 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from kaggle) (1.26.9)\n",
+      "Requirement already satisfied: text-unidecode>=1.3 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from python-slugify->kaggle) (1.3)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from requests->kaggle) (3.3)\n",
+      "Requirement already satisfied: charset-normalizer~=2.0.0 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from requests->kaggle) (2.0.12)\n",
+      "Requirement already satisfied: pandas in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (1.4.1)\n",
+      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from pandas) (2022.1)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from pandas) (2.8.1)\n",
+      "Requirement already satisfied: numpy>=1.18.5 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from pandas) (1.20.1)\n",
+      "Requirement already satisfied: six>=1.5 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from python-dateutil>=2.8.1->pandas) (1.15.0)\n",
+      "Requirement already satisfied: seaborn in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (0.11.2)\n",
+      "Requirement already satisfied: pandas>=0.23 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from seaborn) (1.4.1)\n",
+      "Requirement already satisfied: numpy>=1.15 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from seaborn) (1.20.1)\n",
+      "Requirement already satisfied: scipy>=1.0 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from seaborn) (1.6.1)\n",
+      "Requirement already satisfied: matplotlib>=2.2 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from seaborn) (3.5.1)\n",
+      "Requirement already satisfied: packaging>=20.0 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (20.9)\n",
+      "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (2.4.7)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (4.31.1)\n",
+      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (2.8.1)\n",
+      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (9.0.1)\n",
+      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (1.4.0)\n",
+      "Requirement already satisfied: cycler>=0.10 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from matplotlib>=2.2->seaborn) (0.11.0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from pandas>=0.23->seaborn) (2022.1)\n",
+      "Requirement already satisfied: six>=1.5 in c:\\users\\cgala\\appdata\\local\\programs\\python\\python39\\lib\\site-packages (from python-dateutil>=2.7->matplotlib>=2.2->seaborn) (1.15.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install kaggle\n",
+    "!pip install pandas\n",
+    "!pip install seaborn"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "genetic-plaintiff",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading steel-industry-energy-consumption.zip to D:\\UAM zajecia\\IUM\\ium_470623\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "  0%|          | 0.00/484k [00:00<?, ?B/s]\n",
+      "100%|##########| 484k/484k [00:00<00:00, 3.32MB/s]\n",
+      "100%|##########| 484k/484k [00:00<00:00, 3.29MB/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "!kaggle datasets download -d csafrit2/steel-industry-energy-consumption"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "compatible-following",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Archive:  steel-industry-energy-consumption.zip\n",
+      "  inflating: Steel_industry_data.csv  \n"
+     ]
+    }
+   ],
+   "source": [
+    "!unzip -o steel-industry-energy-consumption.zip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "interstate-ethnic",
+   "metadata": {},
+   "outputs": [
+    {
+     "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>date</th>\n",
+       "      <th>Usage_kWh</th>\n",
+       "      <th>Lagging_Current_Reactive.Power_kVarh</th>\n",
+       "      <th>Leading_Current_Reactive_Power_kVarh</th>\n",
+       "      <th>CO2(tCO2)</th>\n",
+       "      <th>Lagging_Current_Power_Factor</th>\n",
+       "      <th>Leading_Current_Power_Factor</th>\n",
+       "      <th>NSM</th>\n",
+       "      <th>WeekStatus</th>\n",
+       "      <th>Day_of_week</th>\n",
+       "      <th>Load_Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>01/01/2018 00:15</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>2.95</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>73.21</td>\n",
+       "      <td>100.00</td>\n",
+       "      <td>900</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>01/01/2018 00:30</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>4.46</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>66.77</td>\n",
+       "      <td>100.00</td>\n",
+       "      <td>1800</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>01/01/2018 00:45</td>\n",
+       "      <td>3.24</td>\n",
+       "      <td>3.28</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>70.28</td>\n",
+       "      <td>100.00</td>\n",
+       "      <td>2700</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>01/01/2018 01:00</td>\n",
+       "      <td>3.31</td>\n",
+       "      <td>3.56</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>68.09</td>\n",
+       "      <td>100.00</td>\n",
+       "      <td>3600</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>01/01/2018 01:15</td>\n",
+       "      <td>3.82</td>\n",
+       "      <td>4.50</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>64.72</td>\n",
+       "      <td>100.00</td>\n",
+       "      <td>4500</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35035</th>\n",
+       "      <td>31/12/2018 23:00</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>4.86</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>62.10</td>\n",
+       "      <td>100.00</td>\n",
+       "      <td>82800</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35036</th>\n",
+       "      <td>31/12/2018 23:15</td>\n",
+       "      <td>3.74</td>\n",
+       "      <td>3.74</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>70.71</td>\n",
+       "      <td>100.00</td>\n",
+       "      <td>83700</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35037</th>\n",
+       "      <td>31/12/2018 23:30</td>\n",
+       "      <td>3.78</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>76.62</td>\n",
+       "      <td>99.98</td>\n",
+       "      <td>84600</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35038</th>\n",
+       "      <td>31/12/2018 23:45</td>\n",
+       "      <td>3.78</td>\n",
+       "      <td>3.06</td>\n",
+       "      <td>0.11</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>77.72</td>\n",
+       "      <td>99.96</td>\n",
+       "      <td>85500</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35039</th>\n",
+       "      <td>31/12/2018 00:00</td>\n",
+       "      <td>3.67</td>\n",
+       "      <td>3.02</td>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>77.22</td>\n",
+       "      <td>99.98</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>35040 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   date  Usage_kWh  Lagging_Current_Reactive.Power_kVarh  \\\n",
+       "0      01/01/2018 00:15       3.17                                  2.95   \n",
+       "1      01/01/2018 00:30       4.00                                  4.46   \n",
+       "2      01/01/2018 00:45       3.24                                  3.28   \n",
+       "3      01/01/2018 01:00       3.31                                  3.56   \n",
+       "4      01/01/2018 01:15       3.82                                  4.50   \n",
+       "...                 ...        ...                                   ...   \n",
+       "35035  31/12/2018 23:00       3.85                                  4.86   \n",
+       "35036  31/12/2018 23:15       3.74                                  3.74   \n",
+       "35037  31/12/2018 23:30       3.78                                  3.17   \n",
+       "35038  31/12/2018 23:45       3.78                                  3.06   \n",
+       "35039  31/12/2018 00:00       3.67                                  3.02   \n",
+       "\n",
+       "       Leading_Current_Reactive_Power_kVarh  CO2(tCO2)  \\\n",
+       "0                                      0.00        0.0   \n",
+       "1                                      0.00        0.0   \n",
+       "2                                      0.00        0.0   \n",
+       "3                                      0.00        0.0   \n",
+       "4                                      0.00        0.0   \n",
+       "...                                     ...        ...   \n",
+       "35035                                  0.00        0.0   \n",
+       "35036                                  0.00        0.0   \n",
+       "35037                                  0.07        0.0   \n",
+       "35038                                  0.11        0.0   \n",
+       "35039                                  0.07        0.0   \n",
+       "\n",
+       "       Lagging_Current_Power_Factor  Leading_Current_Power_Factor    NSM  \\\n",
+       "0                             73.21                        100.00    900   \n",
+       "1                             66.77                        100.00   1800   \n",
+       "2                             70.28                        100.00   2700   \n",
+       "3                             68.09                        100.00   3600   \n",
+       "4                             64.72                        100.00   4500   \n",
+       "...                             ...                           ...    ...   \n",
+       "35035                         62.10                        100.00  82800   \n",
+       "35036                         70.71                        100.00  83700   \n",
+       "35037                         76.62                         99.98  84600   \n",
+       "35038                         77.72                         99.96  85500   \n",
+       "35039                         77.22                         99.98      0   \n",
+       "\n",
+       "      WeekStatus Day_of_week   Load_Type  \n",
+       "0        Weekday      Monday  Light_Load  \n",
+       "1        Weekday      Monday  Light_Load  \n",
+       "2        Weekday      Monday  Light_Load  \n",
+       "3        Weekday      Monday  Light_Load  \n",
+       "4        Weekday      Monday  Light_Load  \n",
+       "...          ...         ...         ...  \n",
+       "35035    Weekday      Monday  Light_Load  \n",
+       "35036    Weekday      Monday  Light_Load  \n",
+       "35037    Weekday      Monday  Light_Load  \n",
+       "35038    Weekday      Monday  Light_Load  \n",
+       "35039    Weekday      Monday  Light_Load  \n",
+       "\n",
+       "[35040 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "energy_data=pd.read_csv('Steel_industry_data.csv')\n",
+    "energy_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "heated-spectacular",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>Usage_kWh</th>\n",
+       "      <th>Lagging_Current_Reactive.Power_kVarh</th>\n",
+       "      <th>Leading_Current_Reactive_Power_kVarh</th>\n",
+       "      <th>CO2(tCO2)</th>\n",
+       "      <th>Lagging_Current_Power_Factor</th>\n",
+       "      <th>Leading_Current_Power_Factor</th>\n",
+       "      <th>NSM</th>\n",
+       "      <th>WeekStatus</th>\n",
+       "      <th>Day_of_week</th>\n",
+       "      <th>Load_Type</th>\n",
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+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>35040</td>\n",
+       "      <td>35040.000000</td>\n",
+       "      <td>35040.000000</td>\n",
+       "      <td>35040.000000</td>\n",
+       "      <td>35040.000000</td>\n",
+       "      <td>35040.000000</td>\n",
+       "      <td>35040.000000</td>\n",
+       "      <td>35040.000000</td>\n",
+       "      <td>35040</td>\n",
+       "      <td>35040</td>\n",
+       "      <td>35040</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>35040</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
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+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>01/01/2018 00:15</td>\n",
+       "      <td>NaN</td>\n",
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+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>25056</td>\n",
+       "      <td>5088</td>\n",
+       "      <td>18072</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>27.386892</td>\n",
+       "      <td>13.035384</td>\n",
+       "      <td>3.870949</td>\n",
+       "      <td>0.011524</td>\n",
+       "      <td>80.578056</td>\n",
+       "      <td>84.367870</td>\n",
+       "      <td>42750.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>33.444380</td>\n",
+       "      <td>16.306000</td>\n",
+       "      <td>7.424463</td>\n",
+       "      <td>0.016151</td>\n",
+       "      <td>18.921322</td>\n",
+       "      <td>30.456535</td>\n",
+       "      <td>24940.534317</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.200000</td>\n",
+       "      <td>2.300000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>63.320000</td>\n",
+       "      <td>99.700000</td>\n",
+       "      <td>21375.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.570000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>87.960000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>42750.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>51.237500</td>\n",
+       "      <td>22.640000</td>\n",
+       "      <td>2.090000</td>\n",
+       "      <td>0.020000</td>\n",
+       "      <td>99.022500</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>64125.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>157.180000</td>\n",
+       "      <td>96.910000</td>\n",
+       "      <td>27.760000</td>\n",
+       "      <td>0.070000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>85500.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    date     Usage_kWh  Lagging_Current_Reactive.Power_kVarh  \\\n",
+       "count              35040  35040.000000                          35040.000000   \n",
+       "unique             35040           NaN                                   NaN   \n",
+       "top     01/01/2018 00:15           NaN                                   NaN   \n",
+       "freq                   1           NaN                                   NaN   \n",
+       "mean                 NaN     27.386892                             13.035384   \n",
+       "std                  NaN     33.444380                             16.306000   \n",
+       "min                  NaN      0.000000                              0.000000   \n",
+       "25%                  NaN      3.200000                              2.300000   \n",
+       "50%                  NaN      4.570000                              5.000000   \n",
+       "75%                  NaN     51.237500                             22.640000   \n",
+       "max                  NaN    157.180000                             96.910000   \n",
+       "\n",
+       "        Leading_Current_Reactive_Power_kVarh     CO2(tCO2)  \\\n",
+       "count                           35040.000000  35040.000000   \n",
+       "unique                                   NaN           NaN   \n",
+       "top                                      NaN           NaN   \n",
+       "freq                                     NaN           NaN   \n",
+       "mean                                3.870949      0.011524   \n",
+       "std                                 7.424463      0.016151   \n",
+       "min                                 0.000000      0.000000   \n",
+       "25%                                 0.000000      0.000000   \n",
+       "50%                                 0.000000      0.000000   \n",
+       "75%                                 2.090000      0.020000   \n",
+       "max                                27.760000      0.070000   \n",
+       "\n",
+       "        Lagging_Current_Power_Factor  Leading_Current_Power_Factor  \\\n",
+       "count                   35040.000000                  35040.000000   \n",
+       "unique                           NaN                           NaN   \n",
+       "top                              NaN                           NaN   \n",
+       "freq                             NaN                           NaN   \n",
+       "mean                       80.578056                     84.367870   \n",
+       "std                        18.921322                     30.456535   \n",
+       "min                         0.000000                      0.000000   \n",
+       "25%                        63.320000                     99.700000   \n",
+       "50%                        87.960000                    100.000000   \n",
+       "75%                        99.022500                    100.000000   \n",
+       "max                       100.000000                    100.000000   \n",
+       "\n",
+       "                 NSM WeekStatus Day_of_week   Load_Type  \n",
+       "count   35040.000000      35040       35040       35040  \n",
+       "unique           NaN          2           7           3  \n",
+       "top              NaN    Weekday      Monday  Light_Load  \n",
+       "freq             NaN      25056        5088       18072  \n",
+       "mean    42750.000000        NaN         NaN         NaN  \n",
+       "std     24940.534317        NaN         NaN         NaN  \n",
+       "min         0.000000        NaN         NaN         NaN  \n",
+       "25%     21375.000000        NaN         NaN         NaN  \n",
+       "50%     42750.000000        NaN         NaN         NaN  \n",
+       "75%     64125.000000        NaN         NaN         NaN  \n",
+       "max     85500.000000        NaN         NaN         NaN  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "energy_data.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "loved-delight",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Training set size:\n",
+      "(31536, 11)\n",
+      "Testing set size:\n",
+      "(1752, 11)\n",
+      "Dev set size:\n",
+      "(1752, 11)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "train_data, test_data  = train_test_split(energy_data, test_size=3504, random_state=1)\n",
+    "test_data, dev_data = train_test_split(test_data, test_size=1752, random_state=1)\n",
+    "print('Training set size:')\n",
+    "print(train_data.shape)\n",
+    "print('Testing set size:')\n",
+    "print(test_data.shape)\n",
+    "print('Dev set size:')\n",
+    "print(dev_data.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "formed-virginia",
+   "metadata": {},
+   "outputs": [
+    {
+     "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>date</th>\n",
+       "      <th>Usage_kWh</th>\n",
+       "      <th>Lagging_Current_Reactive.Power_kVarh</th>\n",
+       "      <th>Leading_Current_Reactive_Power_kVarh</th>\n",
+       "      <th>CO2(tCO2)</th>\n",
+       "      <th>Lagging_Current_Power_Factor</th>\n",
+       "      <th>Leading_Current_Power_Factor</th>\n",
+       "      <th>NSM</th>\n",
+       "      <th>WeekStatus</th>\n",
+       "      <th>Day_of_week</th>\n",
+       "      <th>Load_Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>31536</td>\n",
+       "      <td>31536.000000</td>\n",
+       "      <td>31536.000000</td>\n",
+       "      <td>31536.000000</td>\n",
+       "      <td>31536.000000</td>\n",
+       "      <td>31536.000000</td>\n",
+       "      <td>31536.000000</td>\n",
+       "      <td>31536.000000</td>\n",
+       "      <td>31536</td>\n",
+       "      <td>31536</td>\n",
+       "      <td>31536</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>31536</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>30/01/2018 00:15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>22514</td>\n",
+       "      <td>4560</td>\n",
+       "      <td>16280</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>27.369449</td>\n",
+       "      <td>13.037946</td>\n",
+       "      <td>3.866059</td>\n",
+       "      <td>0.011513</td>\n",
+       "      <td>80.525058</td>\n",
+       "      <td>84.410086</td>\n",
+       "      <td>42707.363014</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>33.473304</td>\n",
+       "      <td>16.302910</td>\n",
+       "      <td>7.434250</td>\n",
+       "      <td>0.016159</td>\n",
+       "      <td>18.929571</td>\n",
+       "      <td>30.436675</td>\n",
+       "      <td>24968.193911</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.200000</td>\n",
+       "      <td>2.330000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>63.200000</td>\n",
+       "      <td>99.720000</td>\n",
+       "      <td>20700.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.570000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>87.900000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>42300.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>51.230000</td>\n",
+       "      <td>22.650000</td>\n",
+       "      <td>1.980000</td>\n",
+       "      <td>0.020000</td>\n",
+       "      <td>98.970000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>63900.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>157.180000</td>\n",
+       "      <td>96.910000</td>\n",
+       "      <td>27.760000</td>\n",
+       "      <td>0.070000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>85500.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    date     Usage_kWh  Lagging_Current_Reactive.Power_kVarh  \\\n",
+       "count              31536  31536.000000                          31536.000000   \n",
+       "unique             31536           NaN                                   NaN   \n",
+       "top     30/01/2018 00:15           NaN                                   NaN   \n",
+       "freq                   1           NaN                                   NaN   \n",
+       "mean                 NaN     27.369449                             13.037946   \n",
+       "std                  NaN     33.473304                             16.302910   \n",
+       "min                  NaN      0.000000                              0.000000   \n",
+       "25%                  NaN      3.200000                              2.330000   \n",
+       "50%                  NaN      4.570000                              5.000000   \n",
+       "75%                  NaN     51.230000                             22.650000   \n",
+       "max                  NaN    157.180000                             96.910000   \n",
+       "\n",
+       "        Leading_Current_Reactive_Power_kVarh     CO2(tCO2)  \\\n",
+       "count                           31536.000000  31536.000000   \n",
+       "unique                                   NaN           NaN   \n",
+       "top                                      NaN           NaN   \n",
+       "freq                                     NaN           NaN   \n",
+       "mean                                3.866059      0.011513   \n",
+       "std                                 7.434250      0.016159   \n",
+       "min                                 0.000000      0.000000   \n",
+       "25%                                 0.000000      0.000000   \n",
+       "50%                                 0.000000      0.000000   \n",
+       "75%                                 1.980000      0.020000   \n",
+       "max                                27.760000      0.070000   \n",
+       "\n",
+       "        Lagging_Current_Power_Factor  Leading_Current_Power_Factor  \\\n",
+       "count                   31536.000000                  31536.000000   \n",
+       "unique                           NaN                           NaN   \n",
+       "top                              NaN                           NaN   \n",
+       "freq                             NaN                           NaN   \n",
+       "mean                       80.525058                     84.410086   \n",
+       "std                        18.929571                     30.436675   \n",
+       "min                         0.000000                      0.000000   \n",
+       "25%                        63.200000                     99.720000   \n",
+       "50%                        87.900000                    100.000000   \n",
+       "75%                        98.970000                    100.000000   \n",
+       "max                       100.000000                    100.000000   \n",
+       "\n",
+       "                 NSM WeekStatus Day_of_week   Load_Type  \n",
+       "count   31536.000000      31536       31536       31536  \n",
+       "unique           NaN          2           7           3  \n",
+       "top              NaN    Weekday      Monday  Light_Load  \n",
+       "freq             NaN      22514        4560       16280  \n",
+       "mean    42707.363014        NaN         NaN         NaN  \n",
+       "std     24968.193911        NaN         NaN         NaN  \n",
+       "min         0.000000        NaN         NaN         NaN  \n",
+       "25%     20700.000000        NaN         NaN         NaN  \n",
+       "50%     42300.000000        NaN         NaN         NaN  \n",
+       "75%     63900.000000        NaN         NaN         NaN  \n",
+       "max     85500.000000        NaN         NaN         NaN  "
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_data.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "radical-score",
+   "metadata": {},
+   "outputs": [
+    {
+     "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>date</th>\n",
+       "      <th>Usage_kWh</th>\n",
+       "      <th>Lagging_Current_Reactive.Power_kVarh</th>\n",
+       "      <th>Leading_Current_Reactive_Power_kVarh</th>\n",
+       "      <th>CO2(tCO2)</th>\n",
+       "      <th>Lagging_Current_Power_Factor</th>\n",
+       "      <th>Leading_Current_Power_Factor</th>\n",
+       "      <th>NSM</th>\n",
+       "      <th>WeekStatus</th>\n",
+       "      <th>Day_of_week</th>\n",
+       "      <th>Load_Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1752</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752</td>\n",
+       "      <td>1752</td>\n",
+       "      <td>1752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>1752</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>07/05/2018 06:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Tuesday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1268</td>\n",
+       "      <td>291</td>\n",
+       "      <td>898</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>27.330982</td>\n",
+       "      <td>12.649024</td>\n",
+       "      <td>3.949281</td>\n",
+       "      <td>0.011530</td>\n",
+       "      <td>81.364526</td>\n",
+       "      <td>83.630702</td>\n",
+       "      <td>43080.821918</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>33.484216</td>\n",
+       "      <td>16.185283</td>\n",
+       "      <td>7.298637</td>\n",
+       "      <td>0.016224</td>\n",
+       "      <td>18.758338</td>\n",
+       "      <td>30.801180</td>\n",
+       "      <td>24944.325392</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.480000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>41.120000</td>\n",
+       "      <td>12.540000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.200000</td>\n",
+       "      <td>1.392500</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>64.630000</td>\n",
+       "      <td>99.180000</td>\n",
+       "      <td>21600.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.570000</td>\n",
+       "      <td>4.930000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>88.955000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>43200.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>49.870000</td>\n",
+       "      <td>21.240000</td>\n",
+       "      <td>3.837500</td>\n",
+       "      <td>0.020000</td>\n",
+       "      <td>99.852500</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>64800.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>143.930000</td>\n",
+       "      <td>87.700000</td>\n",
+       "      <td>27.540000</td>\n",
+       "      <td>0.070000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>85500.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    date    Usage_kWh  Lagging_Current_Reactive.Power_kVarh  \\\n",
+       "count               1752  1752.000000                           1752.000000   \n",
+       "unique              1752          NaN                                   NaN   \n",
+       "top     07/05/2018 06:00          NaN                                   NaN   \n",
+       "freq                   1          NaN                                   NaN   \n",
+       "mean                 NaN    27.330982                             12.649024   \n",
+       "std                  NaN    33.484216                             16.185283   \n",
+       "min                  NaN     2.480000                              0.000000   \n",
+       "25%                  NaN     3.200000                              1.392500   \n",
+       "50%                  NaN     4.570000                              4.930000   \n",
+       "75%                  NaN    49.870000                             21.240000   \n",
+       "max                  NaN   143.930000                             87.700000   \n",
+       "\n",
+       "        Leading_Current_Reactive_Power_kVarh    CO2(tCO2)  \\\n",
+       "count                            1752.000000  1752.000000   \n",
+       "unique                                   NaN          NaN   \n",
+       "top                                      NaN          NaN   \n",
+       "freq                                     NaN          NaN   \n",
+       "mean                                3.949281     0.011530   \n",
+       "std                                 7.298637     0.016224   \n",
+       "min                                 0.000000     0.000000   \n",
+       "25%                                 0.000000     0.000000   \n",
+       "50%                                 0.000000     0.000000   \n",
+       "75%                                 3.837500     0.020000   \n",
+       "max                                27.540000     0.070000   \n",
+       "\n",
+       "        Lagging_Current_Power_Factor  Leading_Current_Power_Factor  \\\n",
+       "count                    1752.000000                   1752.000000   \n",
+       "unique                           NaN                           NaN   \n",
+       "top                              NaN                           NaN   \n",
+       "freq                             NaN                           NaN   \n",
+       "mean                       81.364526                     83.630702   \n",
+       "std                        18.758338                     30.801180   \n",
+       "min                        41.120000                     12.540000   \n",
+       "25%                        64.630000                     99.180000   \n",
+       "50%                        88.955000                    100.000000   \n",
+       "75%                        99.852500                    100.000000   \n",
+       "max                       100.000000                    100.000000   \n",
+       "\n",
+       "                 NSM WeekStatus Day_of_week   Load_Type  \n",
+       "count    1752.000000       1752        1752        1752  \n",
+       "unique           NaN          2           7           3  \n",
+       "top              NaN    Weekday     Tuesday  Light_Load  \n",
+       "freq             NaN       1268         291         898  \n",
+       "mean    43080.821918        NaN         NaN         NaN  \n",
+       "std     24944.325392        NaN         NaN         NaN  \n",
+       "min         0.000000        NaN         NaN         NaN  \n",
+       "25%     21600.000000        NaN         NaN         NaN  \n",
+       "50%     43200.000000        NaN         NaN         NaN  \n",
+       "75%     64800.000000        NaN         NaN         NaN  \n",
+       "max     85500.000000        NaN         NaN         NaN  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_data.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "attempted-lafayette",
+   "metadata": {},
+   "outputs": [
+    {
+     "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>date</th>\n",
+       "      <th>Usage_kWh</th>\n",
+       "      <th>Lagging_Current_Reactive.Power_kVarh</th>\n",
+       "      <th>Leading_Current_Reactive_Power_kVarh</th>\n",
+       "      <th>CO2(tCO2)</th>\n",
+       "      <th>Lagging_Current_Power_Factor</th>\n",
+       "      <th>Leading_Current_Power_Factor</th>\n",
+       "      <th>NSM</th>\n",
+       "      <th>WeekStatus</th>\n",
+       "      <th>Day_of_week</th>\n",
+       "      <th>Load_Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1752</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752.000000</td>\n",
+       "      <td>1752</td>\n",
+       "      <td>1752</td>\n",
+       "      <td>1752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>1752</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>02/06/2018 02:00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Weekday</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>Light_Load</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1274</td>\n",
+       "      <td>275</td>\n",
+       "      <td>894</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>27.756787</td>\n",
+       "      <td>13.375628</td>\n",
+       "      <td>3.880634</td>\n",
+       "      <td>0.011729</td>\n",
+       "      <td>80.745548</td>\n",
+       "      <td>84.345154</td>\n",
+       "      <td>43186.643836</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>32.895802</td>\n",
+       "      <td>16.482148</td>\n",
+       "      <td>7.376468</td>\n",
+       "      <td>0.015943</td>\n",
+       "      <td>18.927378</td>\n",
+       "      <td>30.475427</td>\n",
+       "      <td>24440.888112</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.520000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>38.330000</td>\n",
+       "      <td>14.070000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.200000</td>\n",
+       "      <td>2.270000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>63.942500</td>\n",
+       "      <td>99.690000</td>\n",
+       "      <td>22500.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.680000</td>\n",
+       "      <td>5.110000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>87.940000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>43200.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>52.187500</td>\n",
+       "      <td>24.050000</td>\n",
+       "      <td>2.177500</td>\n",
+       "      <td>0.020000</td>\n",
+       "      <td>99.030000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>63900.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>139.030000</td>\n",
+       "      <td>80.750000</td>\n",
+       "      <td>27.580000</td>\n",
+       "      <td>0.060000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>85500.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    date    Usage_kWh  Lagging_Current_Reactive.Power_kVarh  \\\n",
+       "count               1752  1752.000000                           1752.000000   \n",
+       "unique              1752          NaN                                   NaN   \n",
+       "top     02/06/2018 02:00          NaN                                   NaN   \n",
+       "freq                   1          NaN                                   NaN   \n",
+       "mean                 NaN    27.756787                             13.375628   \n",
+       "std                  NaN    32.895802                             16.482148   \n",
+       "min                  NaN     2.520000                              0.000000   \n",
+       "25%                  NaN     3.200000                              2.270000   \n",
+       "50%                  NaN     4.680000                              5.110000   \n",
+       "75%                  NaN    52.187500                             24.050000   \n",
+       "max                  NaN   139.030000                             80.750000   \n",
+       "\n",
+       "        Leading_Current_Reactive_Power_kVarh    CO2(tCO2)  \\\n",
+       "count                            1752.000000  1752.000000   \n",
+       "unique                                   NaN          NaN   \n",
+       "top                                      NaN          NaN   \n",
+       "freq                                     NaN          NaN   \n",
+       "mean                                3.880634     0.011729   \n",
+       "std                                 7.376468     0.015943   \n",
+       "min                                 0.000000     0.000000   \n",
+       "25%                                 0.000000     0.000000   \n",
+       "50%                                 0.000000     0.000000   \n",
+       "75%                                 2.177500     0.020000   \n",
+       "max                                27.580000     0.060000   \n",
+       "\n",
+       "        Lagging_Current_Power_Factor  Leading_Current_Power_Factor  \\\n",
+       "count                    1752.000000                   1752.000000   \n",
+       "unique                           NaN                           NaN   \n",
+       "top                              NaN                           NaN   \n",
+       "freq                             NaN                           NaN   \n",
+       "mean                       80.745548                     84.345154   \n",
+       "std                        18.927378                     30.475427   \n",
+       "min                        38.330000                     14.070000   \n",
+       "25%                        63.942500                     99.690000   \n",
+       "50%                        87.940000                    100.000000   \n",
+       "75%                        99.030000                    100.000000   \n",
+       "max                       100.000000                    100.000000   \n",
+       "\n",
+       "                 NSM WeekStatus Day_of_week   Load_Type  \n",
+       "count    1752.000000       1752        1752        1752  \n",
+       "unique           NaN          2           7           3  \n",
+       "top              NaN    Weekday      Monday  Light_Load  \n",
+       "freq             NaN       1274         275         894  \n",
+       "mean    43186.643836        NaN         NaN         NaN  \n",
+       "std     24440.888112        NaN         NaN         NaN  \n",
+       "min         0.000000        NaN         NaN         NaN  \n",
+       "25%     22500.000000        NaN         NaN         NaN  \n",
+       "50%     43200.000000        NaN         NaN         NaN  \n",
+       "75%     63900.000000        NaN         NaN         NaN  \n",
+       "max     85500.000000        NaN         NaN         NaN  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dev_data.describe(include='all')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/README.md b/README.md
index f1985aa..f6e377e 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,4 @@
-# ium_470623
+Inżynieria uczenia maszynowego
 
-Inżynieria uczenia maszynowego
\ No newline at end of file
+Zbiór danych:
+https://www.kaggle.com/datasets/csafrit2/steel-industry-energy-consumption
\ No newline at end of file