Casas_ADS_CW.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c81386e6",
   "metadata": {
    "id": "c81386e6"
   },
   "source": [
    "# Casas smarthome ADS Coursework"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "62d3bdc2",
   "metadata": {
    "id": "62d3bdc2"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1958c552",
   "metadata": {
    "id": "1958c552"
   },
   "outputs": [],
   "source": [
    "import datetime\n",
    "import os\n",
    "import re\n",
    "import seaborn as sns\n",
    "from collections import Counter\n",
    "from datetime import datetime\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e93bcbf1",
   "metadata": {
    "id": "e93bcbf1"
   },
   "outputs": [],
   "source": [
    "sensor_codes = ['M001', 'M002', 'M003', 'M004', 'M005', 'M006', 'M007', \n",
    "                'M008', 'M009', 'M010', 'M011', 'M012', 'M013', 'M014',\n",
    "                'M015', 'M016', 'M017', 'M018', 'M019', 'M020', 'M021', \n",
    "                'M022', 'M023', 'M024', 'M025', 'M026', 'M027', 'M028',\n",
    "                'M029', 'M030', 'D001', 'D002', 'D003', 'D004', 'T001',\n",
    "                'T002', 'T003', 'T004', 'T005']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "Z_lsOpbpuNg-",
   "metadata": {
    "id": "Z_lsOpbpuNg-"
   },
   "outputs": [],
   "source": [
    "sensor_pos = {\n",
    "   'M001':1, 'M002':2, 'M003':3, 'M004':4, 'M005':5, 'M006':6, 'M007':7, \n",
    "   'M008':8, 'M009':9, 'M010':10, 'M011':11, 'M012':12, 'M013':13, 'M014':14,\n",
    "    'M015':15, 'M016':16, 'M017':17, 'M018':18, 'M019':19, 'M020':20, 'M021':21, \n",
    "    'M022':22, 'M023':23, 'M024':24, 'M025':25, 'M026':26, 'M027':27, 'M028':28,\n",
    "    'M029':29, 'M030':30, 'D001':31, 'D002':32, 'D003':33, 'D004':34, 'T001':35,\n",
    "    'T002':36, 'T003':37, 'T004':38, 'T005':39 \n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28ad983e",
   "metadata": {
    "id": "28ad983e"
   },
   "source": [
    "# Data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "52947b58",
   "metadata": {
    "id": "52947b58"
   },
   "outputs": [],
   "source": [
    "def load_dataset(filename):\n",
    "    timestamps = []\n",
    "    sensors = []\n",
    "    values = []\n",
    "    activities = []\n",
    "    current_activity = ''  # empty\n",
    "\n",
    "    with open(filename, 'rb') as features:\n",
    "        database = features.readlines()\n",
    "        \n",
    "        for i, line in enumerate(database):  # each line\n",
    "            f_info = line.decode().split()  # find fields\n",
    "            try:\n",
    "                if 'M' == f_info[2][0] or 'D' == f_info[2][0] or 'T' == f_info[2][0]:\n",
    "                    if str(np.array(f_info[2])) in sensor_codes:\n",
    "                        sensors.append(str(np.array(f_info[2])))\n",
    "                    else:\n",
    "                        continue\n",
    "                       \n",
    "                    if 'OFF' in f_info[3]:\n",
    "                        values.append('OFF')\n",
    "                    elif 'ON' in f_info[3]:\n",
    "                        values.append('ON')\n",
    "                    else:\n",
    "                        try:\n",
    "                            values.append(float(str(np.array(f_info[3]))))\n",
    "                        except ValueError:\n",
    "                            del sensors[-1]\n",
    "                            continue\n",
    "                            \n",
    "                    # choose only M D T sensors, avoiding unexpected errors\n",
    "                    if not ('.' in str(np.array(f_info[0])) + str(np.array(f_info[1]))):\n",
    "                        f_info[1] = f_info[1] + '.000000'\n",
    "                        \n",
    "                    try:\n",
    "                        timestamps.append(datetime.strptime(str(np.array(f_info[0])) + str(np.array(f_info[1])),\n",
    "                                                        \"%Y-%m-%d%H:%M:%S.%f\"))\n",
    "                    except ValueError:\n",
    "                        del sensors[-1]\n",
    "                        del values[-1]\n",
    "                        continue\n",
    "                        \n",
    "                    if len(f_info) == 4:  # if activity does not exist\n",
    "                        activities.append(current_activity)\n",
    "                    else:  # if activity exists\n",
    "                        des = str(' '.join(np.array(f_info[4:])))\n",
    "                        if 'begin' in des:\n",
    "                            current_activity = re.sub('begin', '', des)\n",
    "                            if current_activity[-1] == ' ':  # if white space at the end\n",
    "                                current_activity = current_activity[:-1]  # delete white space\n",
    "                            activities.append(current_activity)\n",
    "                        if 'end' in des:\n",
    "                            activities.append(current_activity)\n",
    "                            current_activity = ''\n",
    "            except IndexError:\n",
    "                print(i, line)\n",
    "                \n",
    "    features.close()\n",
    "    \n",
    "    return pd.DataFrame(np.transpose(np.array([timestamps, sensors, values, activities])), \n",
    "                        columns = ['Timestamps', 'Sensors', 'Values', 'Activities'])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c96df1b8",
   "metadata": {
    "id": "c96df1b8"
   },
   "outputs": [],
   "source": [
    "aruba_dataset = load_dataset(\"./datasets/aruba/data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "97f1cd12",
   "metadata": {
    "id": "97f1cd12"
   },
   "outputs": [],
   "source": [
    "#copy_aruba = aruba_dataset[:5000].copy();\n",
    "copy_aruba = aruba_dataset.copy();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "395b7fd7",
   "metadata": {
    "id": "395b7fd7"
   },
   "outputs": [],
   "source": [
    "def add_transition_labels(aruba_set):\n",
    "    new_activity = ''\n",
    "    previous_activity = ''\n",
    "    \n",
    "    for i, entry in enumerate(aruba_set['Activities']): \n",
    "        if entry == '':\n",
    "            if new_activity != '':\n",
    "                aruba_set.at[i, 'Activities'] = new_activity\n",
    "            else:\n",
    "                for next_entry in aruba_set['Activities'][i:]:\n",
    "                    if next_entry != '':\n",
    "                        new_activity = 'Transition_' + previous_activity + '_' + next_entry\n",
    "                        aruba_set.at[i, 'Activities'] = new_activity\n",
    "                        break            \n",
    "        else:\n",
    "            previous_activity = entry\n",
    "            new_activity = ''\n",
    "    return aruba_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bb9ae488",
   "metadata": {
    "id": "bb9ae488"
   },
   "outputs": [],
   "source": [
    "complete_aruba = add_transition_labels(copy_aruba)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "07068611",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 386
    },
    "id": "07068611",
    "outputId": "30e1ed83-4fe2-420d-aec4-dd181ec56c9f"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamps</th>\n",
       "      <th>Sensors</th>\n",
       "      <th>Values</th>\n",
       "      <th>Activities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-11-04 00:03:50.209589</td>\n",
       "      <td>M003</td>\n",
       "      <td>ON</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-11-04 00:03:57.399391</td>\n",
       "      <td>M003</td>\n",
       "      <td>OFF</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-11-04 00:15:08.984841</td>\n",
       "      <td>T002</td>\n",
       "      <td>21.5</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-11-04 00:30:19.185547</td>\n",
       "      <td>T003</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-11-04 00:30:19.385336</td>\n",
       "      <td>T004</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2010-11-04 00:35:22.245870</td>\n",
       "      <td>T005</td>\n",
       "      <td>20.5</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2010-11-04 00:40:25.428962</td>\n",
       "      <td>T005</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2010-11-04 00:45:28.658171</td>\n",
       "      <td>T005</td>\n",
       "      <td>20.5</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2010-11-04 01:05:42.269469</td>\n",
       "      <td>T001</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2010-11-04 01:15:48.936777</td>\n",
       "      <td>T002</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Sleeping</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Timestamps Sensors Values Activities\n",
       "0 2010-11-04 00:03:50.209589    M003     ON   Sleeping\n",
       "1 2010-11-04 00:03:57.399391    M003    OFF   Sleeping\n",
       "2 2010-11-04 00:15:08.984841    T002   21.5   Sleeping\n",
       "3 2010-11-04 00:30:19.185547    T003   21.0   Sleeping\n",
       "4 2010-11-04 00:30:19.385336    T004   21.0   Sleeping\n",
       "5 2010-11-04 00:35:22.245870    T005   20.5   Sleeping\n",
       "6 2010-11-04 00:40:25.428962    T005   21.0   Sleeping\n",
       "7 2010-11-04 00:45:28.658171    T005   20.5   Sleeping\n",
       "8 2010-11-04 01:05:42.269469    T001   20.0   Sleeping\n",
       "9 2010-11-04 01:15:48.936777    T002   21.0   Sleeping"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complete_aruba.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfc19496",
   "metadata": {
    "id": "dfc19496"
   },
   "source": [
    "# Pre-processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5fc13b07",
   "metadata": {
    "id": "5fc13b07"
   },
   "outputs": [],
   "source": [
    "def process_time_data(dataset):\n",
    "    weekday = []\n",
    "    seconds = []\n",
    "    daytime = []\n",
    "    \n",
    "    for instance in dataset[\"Timestamps\"]:\n",
    "        weekday.append(instance.day_of_week)\n",
    "        seconds.append(instance.hour * 3600 + instance.minute * 60 + instance.second)\n",
    "        if instance.hour >= 0 and instance.hour <= 6:\n",
    "            daytime.append('Morning_Night')\n",
    "        elif instance.hour >= 6 and instance.hour <= 12:\n",
    "            daytime.append('Morning_Day')\n",
    "        elif instance.hour >= 12 and instance.hour <= 18:\n",
    "            daytime.append('Afternoon')\n",
    "        else: \n",
    "            daytime.append('Evening')\n",
    "        \n",
    "    dataset[\"Weekday\"] = weekday\n",
    "    dataset[\"Seconds\"] = seconds\n",
    "    dataset[\"Daytime\"] = daytime\n",
    "    return dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "35286722",
   "metadata": {
    "id": "35286722"
   },
   "outputs": [],
   "source": [
    "copy_complete_aruba = complete_aruba.copy();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "eff9ee86",
   "metadata": {
    "id": "eff9ee86"
   },
   "outputs": [],
   "source": [
    "timed_aruba = process_time_data(copy_complete_aruba)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bd0ebf37",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 228
    },
    "id": "bd0ebf37",
    "outputId": "6eadbb83-b1c5-44ff-f5ed-5a463b0cb879"
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamps</th>\n",
       "      <th>Sensors</th>\n",
       "      <th>Values</th>\n",
       "      <th>Activities</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Seconds</th>\n",
       "      <th>Daytime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-11-04 00:03:50.209589</td>\n",
       "      <td>M003</td>\n",
       "      <td>ON</td>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>230</td>\n",
       "      <td>Morning_Night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-11-04 00:03:57.399391</td>\n",
       "      <td>M003</td>\n",
       "      <td>OFF</td>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>237</td>\n",
       "      <td>Morning_Night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-11-04 00:15:08.984841</td>\n",
       "      <td>T002</td>\n",
       "      <td>21.5</td>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>908</td>\n",
       "      <td>Morning_Night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-11-04 00:30:19.185547</td>\n",
       "      <td>T003</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>1819</td>\n",
       "      <td>Morning_Night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-11-04 00:30:19.385336</td>\n",
       "      <td>T004</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>1819</td>\n",
       "      <td>Morning_Night</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Timestamps Sensors Values Activities  Weekday  Seconds  \\\n",
       "0 2010-11-04 00:03:50.209589    M003     ON   Sleeping        3      230   \n",
       "1 2010-11-04 00:03:57.399391    M003    OFF   Sleeping        3      237   \n",
       "2 2010-11-04 00:15:08.984841    T002   21.5   Sleeping        3      908   \n",
       "3 2010-11-04 00:30:19.185547    T003   21.0   Sleeping        3     1819   \n",
       "4 2010-11-04 00:30:19.385336    T004   21.0   Sleeping        3     1819   \n",
       "\n",
       "         Daytime  \n",
       "0  Morning_Night  \n",
       "1  Morning_Night  \n",
       "2  Morning_Night  \n",
       "3  Morning_Night  \n",
       "4  Morning_Night  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timed_aruba.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "385698cc",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 323
    },
    "id": "385698cc",
    "outputId": "23672e7b-5334-48d0-8622-f9d808f5cdc8"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Seconds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.709857e+06</td>\n",
       "      <td>1.709857e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.988941e+00</td>\n",
       "      <td>5.017661e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.021840e+00</td>\n",
       "      <td>1.894967e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>3.486000e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>5.172100e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>6.566100e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.000000e+00</td>\n",
       "      <td>8.639900e+04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Weekday       Seconds\n",
       "count  1.709857e+06  1.709857e+06\n",
       "mean   2.988941e+00  5.017661e+04\n",
       "std    2.021840e+00  1.894967e+04\n",
       "min    0.000000e+00  0.000000e+00\n",
       "25%    1.000000e+00  3.486000e+04\n",
       "50%    3.000000e+00  5.172100e+04\n",
       "75%    5.000000e+00  6.566100e+04\n",
       "max    6.000000e+00  8.639900e+04"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timed_aruba.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e18f3a67",
   "metadata": {
    "id": "e18f3a67"
   },
   "outputs": [],
   "source": [
    "data = timed_aruba.drop(columns=['Timestamps'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "777f3228",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "777f3228",
    "outputId": "49df0426-1fa7-42be-c8f5-463d3082f298"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1709857 entries, 0 to 1709856\n",
      "Data columns (total 6 columns):\n",
      " #   Column      Dtype \n",
      "---  ------      ----- \n",
      " 0   Sensors     object\n",
      " 1   Values      object\n",
      " 2   Activities  object\n",
      " 3   Weekday     int64 \n",
      " 4   Seconds     int64 \n",
      " 5   Daytime     object\n",
      "dtypes: int64(2), object(4)\n",
      "memory usage: 78.3+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "24bdd252",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "24bdd252",
    "outputId": "a38d94ae-12bf-4b44-8d35-8b97939e19ac"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    M003\n",
      "1    M003\n",
      "2    T002\n",
      "3    T003\n",
      "4    T004\n",
      "Name: Sensors, dtype: object\n",
      "0      ON\n",
      "1     OFF\n",
      "2    21.5\n",
      "3    21.0\n",
      "4    21.0\n",
      "Name: Values, dtype: object\n"
     ]
    }
   ],
   "source": [
    "sensors_col = data['Sensors'].copy()\n",
    "values_col = data['Values'].copy()\n",
    "\n",
    "print(sensors_col[:5])\n",
    "print(values_col[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9c5edd9c",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 228
    },
    "id": "9c5edd9c",
    "outputId": "2f573de7-44c7-41fe-e3c8-b5e5c7db6c9e"
   },
   "outputs": [
    {
     "data": {
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       "      <th>Daytime</th>\n",
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      ],
      "text/plain": [
       "  Activities  Weekday  Seconds        Daytime\n",
       "0   Sleeping        3      230  Morning_Night\n",
       "1   Sleeping        3      237  Morning_Night\n",
       "2   Sleeping        3      908  Morning_Night\n",
       "3   Sleeping        3     1819  Morning_Night\n",
       "4   Sleeping        3     1819  Morning_Night"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2 = data.drop(columns=['Sensors', 'Values'])\n",
    "data2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8dc607c2",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8dc607c2",
    "outputId": "dfde75f5-3c75-4f28-b46e-1daacaad442d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "23.018337522518657\n"
     ]
    }
   ],
   "source": [
    "temperatures = []\n",
    "for x in values_col:\n",
    "    try:\n",
    "        temperatures.append(float(x))\n",
    "    except ValueError:\n",
    "        pass\n",
    "\n",
    "mean_temp = np.array(temperatures).mean()\n",
    "print(mean_temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3f4e32fd",
   "metadata": {
    "id": "3f4e32fd"
   },
   "outputs": [],
   "source": [
    "def init_df_state(sensor_codes, mean_temp):\n",
    "    state_df = pd.DataFrame()\n",
    "    for sensor in sensor_codes:\n",
    "        if sensor[0] == 'T':\n",
    "            state_df.at[0, sensor] = mean_temp\n",
    "        else:\n",
    "            state_df.at[0, sensor] = 0 #OFF\n",
    "            \n",
    "    return state_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3e70dbf4",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 131
    },
    "id": "3e70dbf4",
    "outputId": "d380f7c8-6e74-40fd-81ce-49d5453ad574"
   },
   "outputs": [
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     "execution_count": 22,
     "metadata": {},
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   ],
   "source": [
    "state_df = init_df_state(sensor_codes, mean_temp)\n",
    "state_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1kuI28RyBOXp",
   "metadata": {
    "id": "1kuI28RyBOXp"
   },
   "outputs": [],
   "source": [
    "def create_empty_df(current_state, sensors):\n",
    "    df = pd.DataFrame(columns = current_state.columns, \n",
    "                   index = range(len(sensors)))\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "VFqb2Gv3GKev",
   "metadata": {
    "id": "VFqb2Gv3GKev"
   },
   "outputs": [],
   "source": [
    "empty_df = create_empty_df(state_df, sensors_col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "U66vHmP0HB9u",
   "metadata": {
    "id": "U66vHmP0HB9u"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1709857 entries, 0 to 1709856\n",
      "Data columns (total 39 columns):\n",
      " #   Column  Dtype \n",
      "---  ------  ----- \n",
      " 0   M001    object\n",
      " 1   M002    object\n",
      " 2   M003    object\n",
      " 3   M004    object\n",
      " 4   M005    object\n",
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      " 23  M024    object\n",
      " 24  M025    object\n",
      " 25  M026    object\n",
      " 26  M027    object\n",
      " 27  M028    object\n",
      " 28  M029    object\n",
      " 29  M030    object\n",
      " 30  D001    object\n",
      " 31  D002    object\n",
      " 32  D003    object\n",
      " 33  D004    object\n",
      " 34  T001    object\n",
      " 35  T002    object\n",
      " 36  T003    object\n",
      " 37  T004    object\n",
      " 38  T005    object\n",
      "dtypes: object(39)\n",
      "memory usage: 508.8+ MB\n"
     ]
    }
   ],
   "source": [
    "empty_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b7dc3e40",
   "metadata": {
    "id": "b7dc3e40"
   },
   "outputs": [],
   "source": [
    "def compute_sensor_state(current_state, sensors, values, new_df):\n",
    "    row = np.array(current_state.iloc[0])\n",
    "\n",
    "    for i in range(0, len(sensors)):\n",
    "        if values[i] == 'ON' or values[i] == 'OPEN':\n",
    "            row[sensor_pos[sensors[i]]-1] = 1\n",
    "        elif values[i] == 'OFF' or values[i] == 'CLOSE':\n",
    "            row[sensor_pos[sensors[i]]-1] = 0\n",
    "        else:\n",
    "            row[sensor_pos[sensors[i]]-1] = float(values[i])\n",
    "    \n",
    "        new_df.iloc[i] = row\n",
    "    \n",
    "    return new_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d40df08c",
   "metadata": {
    "id": "d40df08c"
   },
   "outputs": [],
   "source": [
    "state = compute_sensor_state(state_df, sensors_col, values_col, empty_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1a77c905",
   "metadata": {
    "id": "1a77c905"
   },
   "outputs": [
    {
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       "M004    0.0\n",
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     "execution_count": 28,
     "metadata": {},
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    "state.iloc[48, :20]"
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   "execution_count": 29,
   "id": "4a956e8e",
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       "[1709857 rows x 39 columns]"
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     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
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  {
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   "id": "08d561e5",
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     "height": 447
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    "id": "08d561e5",
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       "        Activities  Weekday  Seconds        Daytime\n",
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       "1709856   Sleeping        5    86290        Evening\n",
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    "data2.shape\n",
    "data2"
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  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "79239581",
   "metadata": {
    "id": "79239581"
   },
   "outputs": [],
   "source": [
    "new_data = pd.concat([data2, state], axis=1).reindex(data2.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "0ca88c91",
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    "id": "0ca88c91",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>1819</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.5</td>\n",
       "      <td>21.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>1819</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.5</td>\n",
       "      <td>21.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>23.018338</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",
       "      <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>59</th>\n",
       "      <td>Bed_to_Toilet</td>\n",
       "      <td>3</td>\n",
       "      <td>20606</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Bed_to_Toilet</td>\n",
       "      <td>3</td>\n",
       "      <td>20607</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Bed_to_Toilet</td>\n",
       "      <td>3</td>\n",
       "      <td>20607</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Bed_to_Toilet</td>\n",
       "      <td>3</td>\n",
       "      <td>20609</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Bed_to_Toilet</td>\n",
       "      <td>3</td>\n",
       "      <td>20610</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.5</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>64 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Activities  Weekday  Seconds        Daytime M001 M002 M003 M004 M005  \\\n",
       "0        Sleeping        3      230  Morning_Night  0.0  0.0  1.0  0.0  0.0   \n",
       "1        Sleeping        3      237  Morning_Night  0.0  0.0  0.0  0.0  0.0   \n",
       "2        Sleeping        3      908  Morning_Night  0.0  0.0  0.0  0.0  0.0   \n",
       "3        Sleeping        3     1819  Morning_Night  0.0  0.0  0.0  0.0  0.0   \n",
       "4        Sleeping        3     1819  Morning_Night  0.0  0.0  0.0  0.0  0.0   \n",
       "..            ...      ...      ...            ...  ...  ...  ...  ...  ...   \n",
       "59  Bed_to_Toilet        3    20606  Morning_Night  0.0  0.0  0.0  1.0  0.0   \n",
       "60  Bed_to_Toilet        3    20607  Morning_Night  0.0  0.0  0.0  1.0  0.0   \n",
       "61  Bed_to_Toilet        3    20607  Morning_Night  0.0  0.0  0.0  1.0  0.0   \n",
       "62  Bed_to_Toilet        3    20609  Morning_Night  0.0  0.0  0.0  1.0  1.0   \n",
       "63  Bed_to_Toilet        3    20610  Morning_Night  0.0  0.0  0.0  0.0  1.0   \n",
       "\n",
       "   M006  ... M030 D001 D002 D003 D004       T001       T002       T003  \\\n",
       "0   0.0  ...  0.0  0.0  0.0  0.0  0.0  23.018338  23.018338  23.018338   \n",
       "1   0.0  ...  0.0  0.0  0.0  0.0  0.0  23.018338  23.018338  23.018338   \n",
       "2   0.0  ...  0.0  0.0  0.0  0.0  0.0  23.018338       21.5  23.018338   \n",
       "3   0.0  ...  0.0  0.0  0.0  0.0  0.0  23.018338       21.5       21.0   \n",
       "4   0.0  ...  0.0  0.0  0.0  0.0  0.0  23.018338       21.5       21.0   \n",
       "..  ...  ...  ...  ...  ...  ...  ...        ...        ...        ...   \n",
       "59  0.0  ...  0.0  0.0  0.0  0.0  0.0       18.5       19.5       19.0   \n",
       "60  0.0  ...  0.0  0.0  0.0  0.0  0.0       18.5       19.5       19.0   \n",
       "61  0.0  ...  0.0  0.0  0.0  0.0  0.0       18.5       19.5       19.0   \n",
       "62  0.0  ...  0.0  0.0  0.0  0.0  0.0       18.5       19.5       19.0   \n",
       "63  0.0  ...  0.0  0.0  0.0  0.0  0.0       18.5       19.5       19.0   \n",
       "\n",
       "         T004       T005  \n",
       "0   23.018338  23.018338  \n",
       "1   23.018338  23.018338  \n",
       "2   23.018338  23.018338  \n",
       "3   23.018338  23.018338  \n",
       "4        21.0  23.018338  \n",
       "..        ...        ...  \n",
       "59       19.5       19.0  \n",
       "60       19.5       19.0  \n",
       "61       19.5       19.0  \n",
       "62       19.5       19.0  \n",
       "63       19.5       19.0  \n",
       "\n",
       "[64 rows x 43 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_data.head(64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "58b4b3cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_data.to_csv(r'./datasets/aruba/state_data.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b9cbf897",
   "metadata": {},
   "outputs": [],
   "source": [
    "preprocessed_data = pd.read_csv('./datasets/aruba/state_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "222add67",
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_dict = {}\n",
    "i = 0\n",
    "for a in preprocessed_data['Activities'].unique():\n",
    "    labels_dict[a] = i\n",
    "    i += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "dc98a8c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Sleeping': 0,\n",
       " 'Transition_Sleeping_Bed_to_Toilet': 1,\n",
       " 'Bed_to_Toilet': 2,\n",
       " 'Transition_Bed_to_Toilet_Sleeping': 3,\n",
       " 'Transition_Sleeping_Meal_Preparation': 4,\n",
       " 'Meal_Preparation': 5,\n",
       " 'Transition_Meal_Preparation_Meal_Preparation': 6,\n",
       " 'Transition_Meal_Preparation_Relax': 7,\n",
       " 'Relax': 8,\n",
       " 'Transition_Relax_Meal_Preparation': 9,\n",
       " 'Transition_Meal_Preparation_Eating': 10,\n",
       " 'Eating': 11,\n",
       " 'Transition_Eating_Eating': 12,\n",
       " 'Transition_Eating_Wash_Dishes': 13,\n",
       " 'Wash_Dishes': 14,\n",
       " 'Transition_Wash_Dishes_Relax': 15,\n",
       " 'Transition_Eating_Work': 16,\n",
       " 'Work': 17,\n",
       " 'Transition_Work_Relax': 18,\n",
       " 'Transition_Relax_Eating': 19,\n",
       " 'Transition_Wash_Dishes_Work': 20,\n",
       " 'Transition_Work_Sleeping': 21,\n",
       " 'Transition_Meal_Preparation_Work': 22,\n",
       " 'Transition_Work_Work': 23,\n",
       " 'Transition_Relax_Work': 24,\n",
       " 'Transition_Relax_Housekeeping': 25,\n",
       " 'Housekeeping': 26,\n",
       " 'Transition_Wash_Dishes_Eating': 27,\n",
       " 'Transition_Eating_Relax': 28,\n",
       " 'Transition_Relax_Relax': 29,\n",
       " 'Transition_Eating_Meal_Preparation': 30,\n",
       " 'Transition_Work_Meal_Preparation': 31,\n",
       " 'Transition_Work_Eating': 32,\n",
       " 'Transition_Relax_Sleeping': 33,\n",
       " 'Transition_Wash_Dishes_Wash_Dishes': 34,\n",
       " 'Transition_Sleeping_Sleeping': 35,\n",
       " 'Transition_Meal_Preparation_Respirate': 36,\n",
       " 'Respirate': 37,\n",
       " 'Transition_Respirate_Relax': 38,\n",
       " 'Transition_Eating_Sleeping': 39,\n",
       " 'Transition_Relax_Respirate': 40,\n",
       " 'Transition_Wash_Dishes_Meal_Preparation': 41,\n",
       " 'Transition_Relax_Wash_Dishes': 42,\n",
       " 'Transition_Sleeping_Relax': 43,\n",
       " 'Transition_Relax_Enter_Home': 44,\n",
       " 'Enter_Home': 45,\n",
       " 'Transition_Enter_Home_Relax': 46,\n",
       " 'Transition_Bed_to_Toilet_Bed_to_Toilet': 47,\n",
       " 'Transition_Eating_Enter_Home': 48,\n",
       " 'Transition_Relax_Leave_Home': 49,\n",
       " 'Leave_Home': 50,\n",
       " 'Transition_Leave_Home_Meal_Preparation': 51,\n",
       " 'Transition_Meal_Preparation_Leave_Home': 52,\n",
       " 'Transition_Work_Wash_Dishes': 53,\n",
       " 'Transition_Work_Respirate': 54,\n",
       " 'Transition_Respirate_Meal_Preparation': 55,\n",
       " 'Transition_Bed_to_Toilet_Meal_Preparation': 56}"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "585e6c0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Activities</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Seconds</th>\n",
       "      <th>Daytime</th>\n",
       "      <th>M001</th>\n",
       "      <th>M002</th>\n",
       "      <th>M003</th>\n",
       "      <th>M004</th>\n",
       "      <th>M005</th>\n",
       "      <th>M006</th>\n",
       "      <th>...</th>\n",
       "      <th>M030</th>\n",
       "      <th>D001</th>\n",
       "      <th>D002</th>\n",
       "      <th>D003</th>\n",
       "      <th>D004</th>\n",
       "      <th>T001</th>\n",
       "      <th>T002</th>\n",
       "      <th>T003</th>\n",
       "      <th>T004</th>\n",
       "      <th>T005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>230</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>237</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>908</td>\n",
       "      <td>Morning_Night</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>1819</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>1819</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Activities  Weekday  Seconds        Daytime  M001  M002  M003  M004  M005  \\\n",
       "0   Sleeping        3      230  Morning_Night   0.0   0.0   1.0   0.0   0.0   \n",
       "1   Sleeping        3      237  Morning_Night   0.0   0.0   0.0   0.0   0.0   \n",
       "2   Sleeping        3      908  Morning_Night   0.0   0.0   0.0   0.0   0.0   \n",
       "3   Sleeping        3     1819  Morning_Night   0.0   0.0   0.0   0.0   0.0   \n",
       "4   Sleeping        3     1819  Morning_Night   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "   M006  ...  M030  D001  D002  D003  D004       T001       T002       T003  \\\n",
       "0   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  23.018338  23.018338   \n",
       "1   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  23.018338  23.018338   \n",
       "2   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  21.500000  23.018338   \n",
       "3   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  21.500000  21.000000   \n",
       "4   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  21.500000  21.000000   \n",
       "\n",
       "        T004       T005  \n",
       "0  23.018338  23.018338  \n",
       "1  23.018338  23.018338  \n",
       "2  23.018338  23.018338  \n",
       "3  23.018338  23.018338  \n",
       "4  21.000000  23.018338  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preprocessed_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "6eda4532",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "6eda4532",
    "outputId": "87e60814-b9bc-426d-8c4d-d04ad8a1946a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counter({'Relax': 374288, 'Transition_Relax_Relax': 313742, 'Meal_Preparation': 291648, 'Transition_Relax_Meal_Preparation': 172839, 'Transition_Meal_Preparation_Relax': 86467, 'Transition_Meal_Preparation_Meal_Preparation': 83732, 'Sleeping': 63719, 'Transition_Eating_Relax': 38552, 'Transition_Relax_Sleeping': 36544, 'Transition_Relax_Work': 34256, 'Transition_Eating_Meal_Preparation': 29171, 'Transition_Sleeping_Meal_Preparation': 19234, 'Work': 17622, 'Eating': 16647, 'Transition_Work_Relax': 15061, 'Transition_Work_Meal_Preparation': 14190, 'Transition_Sleeping_Sleeping': 12087, 'Transition_Work_Work': 11117, 'Wash_Dishes': 10590, 'Transition_Wash_Dishes_Relax': 9282, 'Transition_Sleeping_Relax': 8031, 'Transition_Meal_Preparation_Eating': 5800, 'Transition_Meal_Preparation_Work': 5003, 'Transition_Eating_Work': 4365, 'Transition_Relax_Eating': 3810, 'Transition_Wash_Dishes_Meal_Preparation': 3238, 'Transition_Eating_Wash_Dishes': 2709, 'Transition_Work_Sleeping': 2672, 'Transition_Relax_Respirate': 2577, 'Transition_Wash_Dishes_Work': 2418, 'Transition_Relax_Enter_Home': 2197, 'Housekeeping': 1885, 'Transition_Eating_Eating': 1840, 'Transition_Work_Eating': 1612, 'Transition_Relax_Wash_Dishes': 1549, 'Bed_to_Toilet': 1483, 'Transition_Bed_to_Toilet_Sleeping': 1092, 'Transition_Eating_Enter_Home': 948, 'Leave_Home': 772, 'Transition_Leave_Home_Meal_Preparation': 643, 'Transition_Work_Wash_Dishes': 610, 'Respirate': 571, 'Transition_Meal_Preparation_Leave_Home': 562, 'Enter_Home': 531, 'Transition_Eating_Sleeping': 458, 'Transition_Sleeping_Bed_to_Toilet': 450, 'Transition_Respirate_Relax': 396, 'Transition_Wash_Dishes_Eating': 243, 'Transition_Relax_Leave_Home': 215, 'Transition_Meal_Preparation_Respirate': 131, 'Transition_Respirate_Meal_Preparation': 80, 'Transition_Work_Respirate': 65, 'Transition_Wash_Dishes_Wash_Dishes': 61, 'Transition_Bed_to_Toilet_Bed_to_Toilet': 35, 'Transition_Bed_to_Toilet_Meal_Preparation': 9, 'Transition_Relax_Housekeeping': 6, 'Transition_Enter_Home_Relax': 2})\n"
     ]
    }
   ],
   "source": [
    "#fig = plt.figure(figsize=(30,2))\n",
    "#plt.pie(new_data['Activities'])\n",
    "#plt.show()\n",
    "from collections import Counter\n",
    "\n",
    "count = Counter(preprocessed_data['Activities'])\n",
    "print(count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "0906aff5",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "0906aff5",
    "outputId": "2f16bac4-7bb2-4cb1-b7ba-7af38064c788",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Sleeping', 'Transition_Sleeping_Bed_to_Toilet', 'Bed_to_Toilet', 'Transition_Bed_to_Toilet_Sleeping', 'Transition_Sleeping_Meal_Preparation', 'Meal_Preparation', 'Transition_Meal_Preparation_Meal_Preparation', 'Transition_Meal_Preparation_Relax', 'Relax', 'Transition_Relax_Meal_Preparation', 'Transition_Meal_Preparation_Eating', 'Eating', 'Transition_Eating_Eating', 'Transition_Eating_Wash_Dishes', 'Wash_Dishes', 'Transition_Wash_Dishes_Relax', 'Transition_Eating_Work', 'Work', 'Transition_Work_Relax', 'Transition_Relax_Eating', 'Transition_Wash_Dishes_Work', 'Transition_Work_Sleeping', 'Transition_Meal_Preparation_Work', 'Transition_Work_Work', 'Transition_Relax_Work', 'Transition_Relax_Housekeeping', 'Housekeeping', 'Transition_Wash_Dishes_Eating', 'Transition_Eating_Relax', 'Transition_Relax_Relax', 'Transition_Eating_Meal_Preparation', 'Transition_Work_Meal_Preparation', 'Transition_Work_Eating', 'Transition_Relax_Sleeping', 'Transition_Wash_Dishes_Wash_Dishes', 'Transition_Sleeping_Sleeping', 'Transition_Meal_Preparation_Respirate', 'Respirate', 'Transition_Respirate_Relax', 'Transition_Eating_Sleeping', 'Transition_Relax_Respirate', 'Transition_Wash_Dishes_Meal_Preparation', 'Transition_Relax_Wash_Dishes', 'Transition_Sleeping_Relax', 'Transition_Relax_Enter_Home', 'Enter_Home', 'Transition_Enter_Home_Relax', 'Transition_Bed_to_Toilet_Bed_to_Toilet', 'Transition_Eating_Enter_Home', 'Transition_Relax_Leave_Home', 'Leave_Home', 'Transition_Leave_Home_Meal_Preparation', 'Transition_Meal_Preparation_Leave_Home', 'Transition_Work_Wash_Dishes', 'Transition_Work_Respirate', 'Transition_Respirate_Meal_Preparation', 'Transition_Bed_to_Toilet_Meal_Preparation']\n",
      "[63719, 450, 1483, 1092, 19234, 291648, 83732, 86467, 374288, 172839, 5800, 16647, 1840, 2709, 10590, 9282, 4365, 17622, 15061, 3810, 2418, 2672, 5003, 11117, 34256, 6, 1885, 243, 38552, 313742, 29171, 14190, 1612, 36544, 61, 12087, 131, 571, 396, 458, 2577, 3238, 1549, 8031, 2197, 531, 2, 35, 948, 215, 772, 643, 562, 610, 65, 80, 9]\n"
     ]
    }
   ],
   "source": [
    "keys = []\n",
    "values = []\n",
    "for key, value in count.items():\n",
    "    keys.append(key)\n",
    "    values.append(value)\n",
    "    \n",
    "print(keys)\n",
    "print(values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5103fd09",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 664
    },
    "id": "5103fd09",
    "outputId": "59458e6f-3bcb-4747-ff3f-882ec49c4c3e",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 57 artists>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(30,5))\n",
    "plt.xticks(rotation='vertical', fontsize=20)\n",
    "plt.bar(keys, values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "eceadd59",
   "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>M001</th>\n",
       "      <th>M002</th>\n",
       "      <th>M003</th>\n",
       "      <th>M004</th>\n",
       "      <th>M005</th>\n",
       "      <th>M006</th>\n",
       "      <th>M007</th>\n",
       "      <th>M008</th>\n",
       "      <th>M009</th>\n",
       "      <th>M010</th>\n",
       "      <th>...</th>\n",
       "      <th>M030</th>\n",
       "      <th>D001</th>\n",
       "      <th>D002</th>\n",
       "      <th>D003</th>\n",
       "      <th>D004</th>\n",
       "      <th>T001</th>\n",
       "      <th>T002</th>\n",
       "      <th>T003</th>\n",
       "      <th>T004</th>\n",
       "      <th>T005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   M001  M002  M003  M004  M005  M006  M007  M008  M009  M010  ...  M030  \\\n",
       "0   0.0   0.0   1.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   0.0   \n",
       "1   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   0.0   \n",
       "2   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   0.0   \n",
       "3   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   0.0   \n",
       "4   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   0.0   \n",
       "\n",
       "   D001  D002  D003  D004       T001       T002       T003       T004  \\\n",
       "0   0.0   0.0   0.0   0.0  23.018338  23.018338  23.018338  23.018338   \n",
       "1   0.0   0.0   0.0   0.0  23.018338  23.018338  23.018338  23.018338   \n",
       "2   0.0   0.0   0.0   0.0  23.018338  21.500000  23.018338  23.018338   \n",
       "3   0.0   0.0   0.0   0.0  23.018338  21.500000  21.000000  23.018338   \n",
       "4   0.0   0.0   0.0   0.0  23.018338  21.500000  21.000000  21.000000   \n",
       "\n",
       "        T005  \n",
       "0  23.018338  \n",
       "1  23.018338  \n",
       "2  23.018338  \n",
       "3  23.018338  \n",
       "4  23.018338  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca_dataframe = preprocessed_data.drop(columns=['Activities', 'Weekday', 'Seconds', 'Daytime'])\n",
    "pca_dataframe.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c969702e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PCA(n_components=3)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "stdsc = StandardScaler()\n",
    "stdsc.fit(pca_dataframe)\n",
    "scaled_dataframe = stdsc.transform(pca_dataframe)\n",
    "pca = PCA(n_components=3)\n",
    "pca.fit(scaled_dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "ce600cd5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1709857, 39)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaled_dataframe.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "c9e9b677",
   "metadata": {},
   "outputs": [],
   "source": [
    "pca_transformed = pca.transform(scaled_dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "529fa921",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1709857, 3)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca_transformed.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "7f9eb305",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(35.20615188343403, -6.436233415588677, 5.1684186760804866e-17)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca_transformed.max(), pca_transformed.min(), pca_transformed.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "dc0e89ae",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([-0.26749641,  0.09764217, -0.09752846, ...,  1.09491357,\n",
       "         1.15918473,  1.09491357]),\n",
       " array([-0.26749641,  0.09764217, -0.09752846, ...,  1.09491357,\n",
       "         1.15918473,  1.09491357]))"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca_transformed[:,0], pca_transformed[:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b48e944f",
   "metadata": {},
   "outputs": [
    {
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       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 7,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 8,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " 9,\n",
       " ...]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "color_pca = []\n",
    "for i in preprocessed_data['Activities']:\n",
    "    color_pca.append(labels_dict[i])\n",
    "color_pca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "29ea5d1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 12))\n",
    "ax = fig.add_subplot(projection='3d')\n",
    "ax.scatter(pca_transformed[:,0], pca_transformed[:,1], pca_transformed[:,2], c=color_pca)\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "c5eb44c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "pca2d = PCA(n_components=2)\n",
    "pca2_data = pca2d.fit_transform(scaled_dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "1f5843ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 12))\n",
    "ax = fig.add_subplot()\n",
    "ax.scatter(pca2_data[:,0], pca2_data[:,1], c=color_pca)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "1ce052f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "count_daytime = Counter(preprocessed_data['Daytime'])\n",
    "keys_daytime = []\n",
    "values_daytime = []\n",
    "for key, value in count_daytime.items():\n",
    "    keys_daytime.append(key)\n",
    "    values_daytime.append(value)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "0e308ce3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Morning_Night', 'Morning_Day', 'Afternoon', 'Evening']"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys_daytime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "6f48a610",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[143221, 600691, 629992, 335953]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "values_daytime\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ee34f4d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Activity during all 4 periods of the day')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(keys_daytime, values_daytime)\n",
    "plt.title('Activity during all 4 periods of the day')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "1d7ac3ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "count_weekday = Counter(preprocessed_data['Weekday'])\n",
    "keys_weekday = []\n",
    "values_weekday = []\n",
    "for key, value in count_weekday.items():\n",
    "    keys_weekday.append(key)\n",
    "    values_weekday.append(value)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a89f20ac",
   "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>Activities</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Seconds</th>\n",
       "      <th>Daytime</th>\n",
       "      <th>M001</th>\n",
       "      <th>M002</th>\n",
       "      <th>M003</th>\n",
       "      <th>M004</th>\n",
       "      <th>M005</th>\n",
       "      <th>M006</th>\n",
       "      <th>...</th>\n",
       "      <th>M030</th>\n",
       "      <th>D001</th>\n",
       "      <th>D002</th>\n",
       "      <th>D003</th>\n",
       "      <th>D004</th>\n",
       "      <th>T001</th>\n",
       "      <th>T002</th>\n",
       "      <th>T003</th>\n",
       "      <th>T004</th>\n",
       "      <th>T005</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>230</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>237</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>908</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>1819</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sleeping</td>\n",
       "      <td>3</td>\n",
       "      <td>1819</td>\n",
       "      <td>Morning_Night</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.018338</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23.018338</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Activities  Weekday  Seconds        Daytime  M001  M002  M003  M004  M005  \\\n",
       "0   Sleeping        3      230  Morning_Night   0.0   0.0   1.0   0.0   0.0   \n",
       "1   Sleeping        3      237  Morning_Night   0.0   0.0   0.0   0.0   0.0   \n",
       "2   Sleeping        3      908  Morning_Night   0.0   0.0   0.0   0.0   0.0   \n",
       "3   Sleeping        3     1819  Morning_Night   0.0   0.0   0.0   0.0   0.0   \n",
       "4   Sleeping        3     1819  Morning_Night   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "   M006  ...  M030  D001  D002  D003  D004       T001       T002       T003  \\\n",
       "0   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  23.018338  23.018338   \n",
       "1   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  23.018338  23.018338   \n",
       "2   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  21.500000  23.018338   \n",
       "3   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  21.500000  21.000000   \n",
       "4   0.0  ...   0.0   0.0   0.0   0.0   0.0  23.018338  21.500000  21.000000   \n",
       "\n",
       "        T004       T005  \n",
       "0  23.018338  23.018338  \n",
       "1  23.018338  23.018338  \n",
       "2  23.018338  23.018338  \n",
       "3  23.018338  23.018338  \n",
       "4  21.000000  23.018338  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preprocessed_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "a58ff8c3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(3, 0, 'Monday'),\n",
       " Text(4, 0, 'Tuesday'),\n",
       " Text(5, 0, 'Wednesday'),\n",
       " Text(6, 0, 'Thursday'),\n",
       " Text(0, 0, 'Friday'),\n",
       " Text(1, 0, 'Saturday'),\n",
       " Text(2, 0, 'Sunday')]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 5))\n",
    "ax.bar(keys_weekday, values_weekday)\n",
    "plt.title('Activity during the 7 days of the week')\n",
    "ax.set_xticks(keys_weekday)\n",
    "ax.set_xticklabels(['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09a0fc53",
   "metadata": {},
   "source": [
    "PREPARE DATA FOR MACHINE LEARNING / DEEP LEARNING MODELS\n",
    "DUMMY VARIABLES + GET KEY BASED LABELS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "0292e3eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = []\n",
    "for a in preprocessed_data['Activities']:\n",
    "    labels.append(labels_dict[a])\n",
    "labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "6a6ce598",
   "metadata": {},
   "outputs": [
    {
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       "      <td>23.018338</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1819</td>\n",
       "      <td>Morning_Night</td>\n",
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       "      <th>4</th>\n",
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       "    </tr>\n",
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       "</table>\n",
       "<p>5 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Weekday  Seconds        Daytime  M001  M002  M003  M004  M005  M006  M007  \\\n",
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       "1        3      237  Morning_Night   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2        3      908  Morning_Night   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "3        3     1819  Morning_Night   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "4        3     1819  Morning_Night   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "   ...  M030  D001  D002  D003  D004       T001       T002       T003  \\\n",
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       "3  ...   0.0   0.0   0.0   0.0   0.0  23.018338  21.500000  21.000000   \n",
       "4  ...   0.0   0.0   0.0   0.0   0.0  23.018338  21.500000  21.000000   \n",
       "\n",
       "        T004       T005  \n",
       "0  23.018338  23.018338  \n",
       "1  23.018338  23.018338  \n",
       "2  23.018338  23.018338  \n",
       "3  23.018338  23.018338  \n",
       "4  21.000000  23.018338  \n",
       "\n",
       "[5 rows x 42 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = preprocessed_data.drop(columns=['Activities'])\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "4375b206",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_dummied = pd.get_dummies(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "ccf51866",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1709857 rows × 45 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Weekday  Seconds  M001  M002  M003  M004  M005  M006  M007  M008  \\\n",
       "0              3      230   0.0   0.0   1.0   0.0   0.0   0.0   0.0   0.0   \n",
       "1              3      237   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "2              3      908   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "3              3     1819   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "4              3     1819   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "...          ...      ...   ...   ...   ...   ...   ...   ...   ...   ...   \n",
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       "1709856        5    86290   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   \n",
       "\n",
       "         ...  D004       T001       T002       T003       T004       T005  \\\n",
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       "\n",
       "         Daytime_Afternoon  Daytime_Evening  Daytime_Morning_Day  \\\n",
       "0                        0                0                    0   \n",
       "1                        0                0                    0   \n",
       "2                        0                0                    0   \n",
       "3                        0                0                    0   \n",
       "4                        0                0                    0   \n",
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       "\n",
       "         Daytime_Morning_Night  \n",
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       "2                            1  \n",
       "3                            1  \n",
       "4                            1  \n",
       "...                        ...  \n",
       "1709852                      0  \n",
       "1709853                      0  \n",
       "1709854                      0  \n",
       "1709855                      0  \n",
       "1709856                      0  \n",
       "\n",
       "[1709857 rows x 45 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_dummied"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "4fc96a2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "X_dummied_scaled = scaler.fit_transform(X_dummied)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "fc5640bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.00546968, -2.63575159, -0.08626786, ..., -0.49449405,\n",
       "        -0.73591438,  3.30735414],\n",
       "       [ 0.00546968, -2.63538219, -0.08626786, ..., -0.49449405,\n",
       "        -0.73591438,  3.30735414],\n",
       "       [ 0.00546968, -2.59997259, -0.08626786, ..., -0.49449405,\n",
       "        -0.73591438,  3.30735414],\n",
       "       ...,\n",
       "       [ 0.99466784,  1.87366874, -0.08626786, ...,  2.02226904,\n",
       "        -0.73591438, -0.30235649],\n",
       "       [ 0.99466784,  1.88971124, -0.08626786, ...,  2.02226904,\n",
       "        -0.73591438, -0.30235649],\n",
       "       [ 0.99466784,  1.90575374, -0.08626786, ...,  2.02226904,\n",
       "        -0.73591438, -0.30235649]])"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_dummied_scaled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "7e76b429",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1709857, 45)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_dummied_scaled.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "3b53f1e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = np.array(labels).reshape((-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "76027d39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((1709857, 45), (1709857, 1))"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_dummied_scaled.shape, labels.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "3c9d7366",
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import savetxt\n",
    "savetxt('X.csv', X_dummied_scaled, delimiter=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "06524e7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import save\n",
    "save('X', X_dummied_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "4ccc5bdf",
   "metadata": {},
   "outputs": [],
   "source": [
    "savetxt('y.csv', labels, delimiter=',')\n",
    "save('y', labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "5dc2b95f",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Data exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5cd321ce",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "f63d81d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0          10\n",
      "1           3\n",
      "2           3\n",
      "3           3\n",
      "4           3\n",
      "           ..\n",
      "1709852     5\n",
      "1709853     5\n",
      "1709854     5\n",
      "1709855     5\n",
      "1709856     5\n",
      "Name: Weekday, Length: 1709857, dtype: int64\n",
      "0          False\n",
      "1           True\n",
      "2           True\n",
      "3           True\n",
      "4           True\n",
      "           ...  \n",
      "1709852    False\n",
      "1709853    False\n",
      "1709854    False\n",
      "1709855    False\n",
      "1709856    False\n",
      "Name: Weekday, Length: 1709857, dtype: bool\n",
      "[31. 31. 31. 32. 32. 32. 31.]\n"
     ]
    }
   ],
   "source": [
    "def change_Booleans(data):\n",
    "    n= len(data)\n",
    "    count = 0\n",
    "    for i in range(n-1):\n",
    "        if data[i] != data[i+1] and data[i+1] == True :\n",
    "            count += 1\n",
    "        \n",
    "    return count\n",
    "\n",
    "def count_weekday(data):\n",
    "    weekdays = np.zeros(7)\n",
    "    for i in range(7):\n",
    "        output = preprocessed_data['Weekday']== i\n",
    "        weekdays[i]= change_Booleans(output)\n",
    "    return weekdays\n",
    "\n",
    "data = preprocessed_data\n",
    "data.at[0, \"Weekday\"] = 10 # let the first value always become False\n",
    "data = data['Weekday']\n",
    "print(data)\n",
    "print(preprocessed_data['Weekday']==3)\n",
    "#get the number of weekdays occur in the dataset\n",
    "weekdays =count_weekday(data)\n",
    "print(weekdays)\n",
    "#get output of [31. 31. 31. 32. 32. 32. 31.]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7804ac41",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "abc7f60b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def count_days(data):\n",
    "    data_second = data['Seconds']\n",
    "    data_Activities = data['Activities']\n",
    "    day_list = 0\n",
    "    sleeptime_list = []\n",
    "    n= len(data)\n",
    "    day_count = 0\n",
    "    sleep_time=0\n",
    "    day_change_state = False\n",
    "    \n",
    "    for i in range(n-1):\n",
    "        if data_Activities[i] == data_Activities[i+1] and data_Activities[i] == 'Sleeping':\n",
    "            if data_second[i] > data_second[i+1] :\n",
    "                sleep_time += (86400 - data_second[i])\n",
    "            elif day_change_state == True:\n",
    "                sleep_time += data_second[i]\n",
    "            else :\n",
    "                sleep_time += (data_second[i+1] - data_second[i])\n",
    "        day_change_state = False\n",
    "        if data_second[i] > data_second[i+1] :\n",
    "            day_count += 1\n",
    "            day_change_state = True\n",
    "            sleeptime_list.append(sleep_time)\n",
    "            sleep_time=0\n",
    "        \n",
    "    return day_count , sleeptime_list\n",
    "day_count , sleeptime_list = count_days(preprocessed_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "d9cfa7a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[16672, 97166, 80217, 43228], [19453, 79741, 132991, 54615], [17831, 85999, 78257, 42432], [23599, 76241, 76856, 42920], [20601, 87995, 78135, 51814], [20793, 86613, 98764, 50595], [24271, 86936, 84772, 50349]]\n",
      "[[537.8064516129032, 627.516129032258, 575.1935483870968, 737.46875, 643.78125, 649.78125, 782.9354838709677], [3134.3870967741937, 2572.2903225806454, 2774.1612903225805, 2382.53125, 2749.84375, 2706.65625, 2804.3870967741937], [2587.6451612903224, 4290.032258064516, 2524.4193548387098, 2401.75, 2441.71875, 3086.375, 2734.5806451612902], [1394.4516129032259, 1761.774193548387, 1368.774193548387, 1341.25, 1619.1875, 1581.09375, 1624.1612903225807]]\n",
      "[3672.19354839 3199.80645161 3349.35483871 3120.         3393.625\n",
      " 3356.4375     3587.32258065]\n"
     ]
    }
   ],
   "source": [
    "new_keys = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
    "new_keys[0]= preprocessed_data.loc[preprocessed_data['Weekday'] ==0]\n",
    "\n",
    "def get_data_weekdays(data , list_weekdays):\n",
    "    for i in range(7):\n",
    "        list_weekdays[i] = data.loc[data['Weekday'] == i ]\n",
    "    return list_weekdays\n",
    "\n",
    "def get_daytime(weekdays_data ):\n",
    "    values_weekdays_daytime = []\n",
    "    for i in range(7):\n",
    "        count_daytime = Counter(weekdays_data[i]['Daytime'])\n",
    "        keys_daytime= []\n",
    "        values_daytime= []\n",
    "        for key, value in count_daytime.items():\n",
    "            keys_daytime.append(key)\n",
    "            values_daytime.append(value)\n",
    "            \n",
    "        values_weekdays_daytime.append(values_daytime)\n",
    "    return values_weekdays_daytime\n",
    "    \n",
    "weekdays_data = get_data_weekdays(preprocessed_data, new_keys )\n",
    "\n",
    "count_daytime = Counter(weekdays_data[0]['Daytime'])\n",
    "keys_daytime0= []\n",
    "values_daytime0= []\n",
    "for key, value in count_daytime.items():\n",
    "    keys_daytime0.append(key)\n",
    "    values_daytime0.append(value)\n",
    "\n",
    "print(get_daytime(weekdays_data ))\n",
    "test = get_daytime(weekdays_data )\n",
    "test = average_weekdays(test , weekdays)\n",
    "\n",
    "\n",
    "# [[0 3]\n",
    "#  [1 4]\n",
    "#  [2 5]]\n",
    "# <class 'numpy.ndarray'>\n",
    "\n",
    "l_2d_t = np.array(test).T.tolist()\n",
    "print(l_2d_t)\n",
    "print(np.add(l_2d_t[0],l_2d_t[1]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "4659075f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_keys = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
    "fig, ax = plt.subplots(figsize=(10, 5))\n",
    "#ax.bar(new_keys, output.values())\n",
    "\n",
    "ax.bar(new_keys, l_2d_t[0]   , label=keys_daytime0[0])\n",
    "ax.bar(new_keys, l_2d_t[1]  , bottom=l_2d_t[0] , label=keys_daytime0[1])\n",
    "ax.bar(new_keys, l_2d_t[2]  , bottom= np.add(l_2d_t[0] , l_2d_t[1]) , label=keys_daytime0[2])\n",
    "ax.bar(new_keys, l_2d_t[3]  , bottom= np.add(np.add(l_2d_t[0] , l_2d_t[1]) , l_2d_t[2] ) , label=keys_daytime0[3])\n",
    "plt.title('Average activity during the 7 weekdays of the week')\n",
    "\n",
    "ax.set_xticks(keys_weekday)\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "6050f29a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 6))\n",
    "ax = plt.axes()\n",
    "\n",
    "x = range(day_count)\n",
    "ax.set_ylabel('Sleep hours')\n",
    "ax.set_xlabel('Day count')\n",
    "ax.plot(x, np.divide(sleeptime_list,3600));\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4df6faf2",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Header 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "87e460a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def activities_days(data ,activity_keys):\n",
    "    activities_time_per_day = []\n",
    "    k= len(activity_keys)\n",
    "    n= len(data)\n",
    "    data_second = data['Seconds']\n",
    "    data_Activities = data['Activities']\n",
    "    for a in range(k):\n",
    "        Activities_time_list = []\n",
    "        time=0\n",
    "        day_count = 0\n",
    "        day_change_state = False\n",
    "        for i in range(n-1):\n",
    "            if data_Activities[i] == data_Activities[i+1] and data_Activities[i] == activity_keys[a]:\n",
    "                if data_second[i] > data_second[i+1] :\n",
    "                    time += (86400 - data_second[i])\n",
    "                elif day_change_state == True:\n",
    "                    time += data_second[i]\n",
    "                else :\n",
    "                    time += (data_second[i+1] - data_second[i])\n",
    "            day_change_state = False\n",
    "            if data_second[i] > data_second[i+1] :\n",
    "                day_count += 1\n",
    "                day_change_state = True\n",
    "                Activities_time_list.append(time)\n",
    "                time=0\n",
    "        activities_time_per_day.append(Activities_time_list)\n",
    "    return activities_time_per_day\n",
    "\n",
    "\n",
    "activities_time_per_day = activities_days(preprocessed_data ,keys)    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e45c7ed",
   "metadata": {},
   "source": [
    "## Showing the average daytime spend on each activity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "5dbf7082",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Sleeping', 'Transition_Sleeping_Bed_to_Toilet', 'Bed_to_Toilet', 'Transition_Bed_to_Toilet_Sleeping', 'Transition_Sleeping_Meal_Preparation', 'Meal_Preparation', 'Transition_Meal_Preparation_Meal_Preparation', 'Transition_Meal_Preparation_Relax', 'Relax', 'Transition_Relax_Meal_Preparation', 'Transition_Meal_Preparation_Eating', 'Eating', 'Transition_Eating_Eating', 'Transition_Eating_Wash_Dishes', 'Wash_Dishes', 'Transition_Wash_Dishes_Relax', 'Transition_Eating_Work', 'Work', 'Transition_Work_Relax', 'Transition_Relax_Eating', 'Transition_Wash_Dishes_Work', 'Transition_Work_Sleeping', 'Transition_Meal_Preparation_Work', 'Transition_Work_Work', 'Transition_Relax_Work', 'Transition_Relax_Housekeeping', 'Housekeeping', 'Transition_Wash_Dishes_Eating', 'Transition_Eating_Relax', 'Transition_Relax_Relax', 'Transition_Eating_Meal_Preparation', 'Transition_Work_Meal_Preparation', 'Transition_Work_Eating', 'Transition_Relax_Sleeping', 'Transition_Wash_Dishes_Wash_Dishes', 'Transition_Sleeping_Sleeping', 'Transition_Meal_Preparation_Respirate', 'Respirate', 'Transition_Respirate_Relax', 'Transition_Eating_Sleeping', 'Transition_Relax_Respirate', 'Transition_Wash_Dishes_Meal_Preparation', 'Transition_Relax_Wash_Dishes', 'Transition_Sleeping_Relax', 'Transition_Relax_Enter_Home', 'Enter_Home', 'Transition_Enter_Home_Relax', 'Transition_Bed_to_Toilet_Bed_to_Toilet', 'Transition_Eating_Enter_Home', 'Transition_Relax_Leave_Home', 'Leave_Home', 'Transition_Leave_Home_Meal_Preparation', 'Transition_Meal_Preparation_Leave_Home', 'Transition_Work_Wash_Dishes', 'Transition_Work_Respirate', 'Transition_Respirate_Meal_Preparation', 'Transition_Bed_to_Toilet_Meal_Preparation']\n",
      "[28460, 32199, 32034, 27063, 29302, 30880, 25493, 35767, 28666, 36572, 21867, 27641, 32616, 25294, 34383, 24382, 29933, 29881, 22996, 29189, 28777, 29130, 29601, 33233, 29623, 22472, 35430, 33701, 21065, 29101, 31759, 27291, 25173, 34440, 33580, 24037, 21120, 26290, 27506, 20619, 30309, 29247, 23039, 31004, 26656, 21647, 28738, 35325, 30386, 29308, 24880, 23783, 27511, 32259, 18785, 24867, 17922, 22266, 33678, 20292, 29866, 27498, 32956, 24740, 27872, 33933, 28857, 24217, 30817, 31732, 29673, 29515, 31422, 30092, 27683, 28412, 31197, 19871, 24736, 29269, 18459, 28511, 19177, 0, 22973, 26414, 27851, 25005, 27494, 26353, 26762, 22614, 27612, 21719, 15139, 27518, 20930, 25751, 21716, 19068, 41412, 28076, 26086, 28484, 27120, 28130, 25860, 21507, 24456, 23599, 17167, 22112, 19977, 28445, 16389, 24381, 29323, 27555, 33072, 21588, 31231, 17451, 24006, 29147, 27281, 33000, 22532, 25751, 30537, 23823, 26138, 26189, 21597, 29207, 33784, 29152, 27703, 25055, 20279, 14014, 20032, 9977, 26778, 23417, 24806, 15029, 24321, 21932, 16461, 20816, 37596, 26296, 32834, 28616, 29583, 27489, 27481, 27952, 27073, 25343, 23086, 36036, 19964, 22572, 25896, 26915, 25536, 30457, 20503, 24000, 25721, 23034, 19143, 18318, 20645, 29924, 27957, 26049, 17828, 25552, 22267, 27436, 22054, 18933, 31126, 28663, 21352, 19876, 30397, 34967, 21515, 24327, 25210, 26045, 20966, 28602, 24530, 25793, 28832, 33578, 23040, 23040, 23347, 31600, 25041, 24562, 28315, 25801, 26211, 24405, 26941, 30292, 16202, 20935, 27996, 26061, 25417, 26655, 19571, 21847]\n"
     ]
    },
    {
     "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>Sleeping</th>\n",
       "      <th>Transition_Sleeping_Bed_to_Toilet</th>\n",
       "      <th>Bed_to_Toilet</th>\n",
       "      <th>Transition_Bed_to_Toilet_Sleeping</th>\n",
       "      <th>Transition_Sleeping_Meal_Preparation</th>\n",
       "      <th>Meal_Preparation</th>\n",
       "      <th>Transition_Meal_Preparation_Meal_Preparation</th>\n",
       "      <th>Transition_Meal_Preparation_Relax</th>\n",
       "      <th>Relax</th>\n",
       "      <th>Transition_Relax_Meal_Preparation</th>\n",
       "      <th>...</th>\n",
       "      <th>Transition_Bed_to_Toilet_Bed_to_Toilet</th>\n",
       "      <th>Transition_Eating_Enter_Home</th>\n",
       "      <th>Transition_Relax_Leave_Home</th>\n",
       "      <th>Leave_Home</th>\n",
       "      <th>Transition_Leave_Home_Meal_Preparation</th>\n",
       "      <th>Transition_Meal_Preparation_Leave_Home</th>\n",
       "      <th>Transition_Work_Wash_Dishes</th>\n",
       "      <th>Transition_Work_Respirate</th>\n",
       "      <th>Transition_Respirate_Meal_Preparation</th>\n",
       "      <th>Transition_Bed_to_Toilet_Meal_Preparation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.241444</td>\n",
       "      <td>0.001083</td>\n",
       "      <td>0.032490</td>\n",
       "      <td>0.003105</td>\n",
       "      <td>0.112578</td>\n",
       "      <td>0.908419</td>\n",
       "      <td>0.706158</td>\n",
       "      <td>0.641505</td>\n",
       "      <td>7.283827</td>\n",
       "      <td>1.712856</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000078</td>\n",
       "      <td>0.017186</td>\n",
       "      <td>0.000894</td>\n",
       "      <td>0.007904</td>\n",
       "      <td>0.005288</td>\n",
       "      <td>0.001663</td>\n",
       "      <td>0.004976</td>\n",
       "      <td>0.000130</td>\n",
       "      <td>0.002610</td>\n",
       "      <td>0.000011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.438516</td>\n",
       "      <td>0.003319</td>\n",
       "      <td>0.031974</td>\n",
       "      <td>0.007651</td>\n",
       "      <td>0.172587</td>\n",
       "      <td>0.619938</td>\n",
       "      <td>1.597380</td>\n",
       "      <td>1.363050</td>\n",
       "      <td>2.573728</td>\n",
       "      <td>2.013066</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000835</td>\n",
       "      <td>0.245116</td>\n",
       "      <td>0.013259</td>\n",
       "      <td>0.086059</td>\n",
       "      <td>0.078432</td>\n",
       "      <td>0.018685</td>\n",
       "      <td>0.072964</td>\n",
       "      <td>0.001929</td>\n",
       "      <td>0.038392</td>\n",
       "      <td>0.000169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.356458</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.036597</td>\n",
       "      <td>0.501528</td>\n",
       "      <td>0.042986</td>\n",
       "      <td>0.025486</td>\n",
       "      <td>5.575833</td>\n",
       "      <td>0.194653</td>\n",
       "      <td>...</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.303611</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.036111</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>0.090278</td>\n",
       "      <td>0.748889</td>\n",
       "      <td>0.147778</td>\n",
       "      <td>0.151667</td>\n",
       "      <td>7.304583</td>\n",
       "      <td>0.953056</td>\n",
       "      <td>...</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.125694</td>\n",
       "      <td>0.000903</td>\n",
       "      <td>0.051389</td>\n",
       "      <td>0.002569</td>\n",
       "      <td>0.140139</td>\n",
       "      <td>1.143194</td>\n",
       "      <td>0.516944</td>\n",
       "      <td>0.430903</td>\n",
       "      <td>8.807708</td>\n",
       "      <td>2.715694</td>\n",
       "      <td>...</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>11.503333</td>\n",
       "      <td>0.035833</td>\n",
       "      <td>0.215556</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>2.172778</td>\n",
       "      <td>3.596111</td>\n",
       "      <td>12.206944</td>\n",
       "      <td>8.609167</td>\n",
       "      <td>14.857778</td>\n",
       "      <td>10.293056</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010278</td>\n",
       "      <td>3.633333</td>\n",
       "      <td>0.196667</td>\n",
       "      <td>1.118611</td>\n",
       "      <td>1.163333</td>\n",
       "      <td>0.254167</td>\n",
       "      <td>1.082222</td>\n",
       "      <td>0.028611</td>\n",
       "      <td>0.569444</td>\n",
       "      <td>0.002500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Sleeping  Transition_Sleeping_Bed_to_Toilet  Bed_to_Toilet  \\\n",
       "mean   7.241444                           0.001083       0.032490   \n",
       "std    1.438516                           0.003319       0.031974   \n",
       "min    0.000000                           0.000000       0.000000   \n",
       "25%    6.356458                           0.000000       0.000000   \n",
       "50%    7.303611                           0.000000       0.036111   \n",
       "75%    8.125694                           0.000903       0.051389   \n",
       "max   11.503333                           0.035833       0.215556   \n",
       "\n",
       "      Transition_Bed_to_Toilet_Sleeping  Transition_Sleeping_Meal_Preparation  \\\n",
       "mean                           0.003105                              0.112578   \n",
       "std                            0.007651                              0.172587   \n",
       "min                            0.000000                              0.000000   \n",
       "25%                            0.000000                              0.036597   \n",
       "50%                            0.000278                              0.090278   \n",
       "75%                            0.002569                              0.140139   \n",
       "max                            0.066667                              2.172778   \n",
       "\n",
       "      Meal_Preparation  Transition_Meal_Preparation_Meal_Preparation  \\\n",
       "mean          0.908419                                      0.706158   \n",
       "std           0.619938                                      1.597380   \n",
       "min           0.000000                                      0.000000   \n",
       "25%           0.501528                                      0.042986   \n",
       "50%           0.748889                                      0.147778   \n",
       "75%           1.143194                                      0.516944   \n",
       "max           3.596111                                     12.206944   \n",
       "\n",
       "      Transition_Meal_Preparation_Relax      Relax  \\\n",
       "mean                           0.641505   7.283827   \n",
       "std                            1.363050   2.573728   \n",
       "min                            0.000000   0.000000   \n",
       "25%                            0.025486   5.575833   \n",
       "50%                            0.151667   7.304583   \n",
       "75%                            0.430903   8.807708   \n",
       "max                            8.609167  14.857778   \n",
       "\n",
       "      Transition_Relax_Meal_Preparation  ...  \\\n",
       "mean                           1.712856  ...   \n",
       "std                            2.013066  ...   \n",
       "min                            0.000000  ...   \n",
       "25%                            0.194653  ...   \n",
       "50%                            0.953056  ...   \n",
       "75%                            2.715694  ...   \n",
       "max                           10.293056  ...   \n",
       "\n",
       "      Transition_Bed_to_Toilet_Bed_to_Toilet  Transition_Eating_Enter_Home  \\\n",
       "mean                                0.000078                      0.017186   \n",
       "std                                 0.000835                      0.245116   \n",
       "min                                 0.000000                      0.000000   \n",
       "25%                                 0.000000                      0.000000   \n",
       "50%                                 0.000000                      0.000000   \n",
       "75%                                 0.000000                      0.000000   \n",
       "max                                 0.010278                      3.633333   \n",
       "\n",
       "      Transition_Relax_Leave_Home  Leave_Home  \\\n",
       "mean                     0.000894    0.007904   \n",
       "std                      0.013259    0.086059   \n",
       "min                      0.000000    0.000000   \n",
       "25%                      0.000000    0.000000   \n",
       "50%                      0.000000    0.000000   \n",
       "75%                      0.000000    0.000000   \n",
       "max                      0.196667    1.118611   \n",
       "\n",
       "      Transition_Leave_Home_Meal_Preparation  \\\n",
       "mean                                0.005288   \n",
       "std                                 0.078432   \n",
       "min                                 0.000000   \n",
       "25%                                 0.000000   \n",
       "50%                                 0.000000   \n",
       "75%                                 0.000000   \n",
       "max                                 1.163333   \n",
       "\n",
       "      Transition_Meal_Preparation_Leave_Home  Transition_Work_Wash_Dishes  \\\n",
       "mean                                0.001663                     0.004976   \n",
       "std                                 0.018685                     0.072964   \n",
       "min                                 0.000000                     0.000000   \n",
       "25%                                 0.000000                     0.000000   \n",
       "50%                                 0.000000                     0.000000   \n",
       "75%                                 0.000000                     0.000000   \n",
       "max                                 0.254167                     1.082222   \n",
       "\n",
       "      Transition_Work_Respirate  Transition_Respirate_Meal_Preparation  \\\n",
       "mean                   0.000130                               0.002610   \n",
       "std                    0.001929                               0.038392   \n",
       "min                    0.000000                               0.000000   \n",
       "25%                    0.000000                               0.000000   \n",
       "50%                    0.000000                               0.000000   \n",
       "75%                    0.000000                               0.000000   \n",
       "max                    0.028611                               0.569444   \n",
       "\n",
       "      Transition_Bed_to_Toilet_Meal_Preparation  \n",
       "mean                                   0.000011  \n",
       "std                                    0.000169  \n",
       "min                                    0.000000  \n",
       "25%                                    0.000000  \n",
       "50%                                    0.000000  \n",
       "75%                                    0.000000  \n",
       "max                                    0.002500  \n",
       "\n",
       "[7 rows x 57 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(keys)\n",
    "print(sleeptime_list)\n",
    "activities_time_per_day_in_hour = np.divide(activities_time_per_day,3600)\n",
    "df2 = pd.DataFrame(np.array(activities_time_per_day_in_hour),\n",
    "                   index=keys).T\n",
    "df2 = df2.rename_axis('day count')\n",
    "#save to csv\n",
    "df2.to_csv('activities_daytime_spend.csv')\n",
    "df2.describe(include='all').drop(index=('count'))\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "c99856bd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Relax                                           7.283827\n",
      "Sleeping                                        7.241444\n",
      "Transition_Relax_Relax                          2.171466\n",
      "Transition_Relax_Meal_Preparation               1.712856\n",
      "Meal_Preparation                                0.908419\n",
      "Transition_Meal_Preparation_Meal_Preparation    0.706158\n",
      "Transition_Meal_Preparation_Relax               0.641505\n",
      "Transition_Eating_Meal_Preparation              0.494322\n",
      "Name: mean, dtype: float64\n",
      "Index(['Transition_Eating_Relax', 'Transition_Relax_Work',\n",
      "       'Transition_Relax_Sleeping', 'Work', 'Transition_Work_Meal_Preparation',\n",
      "       'Transition_Work_Relax', 'Eating',\n",
      "       'Transition_Sleeping_Meal_Preparation', 'Transition_Sleeping_Sleeping',\n",
      "       'Transition_Wash_Dishes_Meal_Preparation',\n",
      "       'Transition_Wash_Dishes_Relax', 'Transition_Work_Sleeping',\n",
      "       'Transition_Work_Work', 'Transition_Relax_Enter_Home',\n",
      "       'Transition_Wash_Dishes_Work', 'Transition_Relax_Eating', 'Wash_Dishes',\n",
      "       'Transition_Eating_Work', 'Bed_to_Toilet',\n",
      "       'Transition_Meal_Preparation_Work', 'Transition_Sleeping_Relax',\n",
      "       'Transition_Meal_Preparation_Eating', 'Transition_Respirate_Relax',\n",
      "       'Housekeeping', 'Transition_Work_Eating', 'Transition_Relax_Respirate',\n",
      "       'Transition_Eating_Enter_Home', 'Transition_Eating_Wash_Dishes',\n",
      "       'Transition_Relax_Wash_Dishes', 'Transition_Eating_Eating',\n",
      "       'Leave_Home', 'Transition_Leave_Home_Meal_Preparation',\n",
      "       'Transition_Work_Wash_Dishes', 'Respirate',\n",
      "       'Transition_Bed_to_Toilet_Sleeping',\n",
      "       'Transition_Respirate_Meal_Preparation', 'Transition_Eating_Sleeping',\n",
      "       'Transition_Wash_Dishes_Eating',\n",
      "       'Transition_Meal_Preparation_Leave_Home', 'Enter_Home',\n",
      "       'Transition_Sleeping_Bed_to_Toilet', 'Transition_Relax_Leave_Home',\n",
      "       'Transition_Meal_Preparation_Respirate', 'Transition_Work_Respirate',\n",
      "       'Transition_Wash_Dishes_Wash_Dishes',\n",
      "       'Transition_Bed_to_Toilet_Bed_to_Toilet',\n",
      "       'Transition_Relax_Housekeeping',\n",
      "       'Transition_Bed_to_Toilet_Meal_Preparation',\n",
      "       'Transition_Enter_Home_Relax'],\n",
      "      dtype='object')\n",
      "2.721439393939394\n"
     ]
    }
   ],
   "source": [
    "stat_activities = df2.describe(include='all').drop(index=('count'))\n",
    "activities_mean = stat_activities.loc['mean']\n",
    "sorted_mean = activities_mean.sort_values(ascending=False)\n",
    "print(sorted_mean.head(8))\n",
    "#sum up small activities\n",
    "print(sorted_mean.iloc[8:].index)\n",
    "print(sorted_mean.iloc[8:].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "f1360281",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y = np.array(sorted_mean.head(8))\n",
    "mylabels = sorted_mean.head(8).index\n",
    "fig = plt.figure(figsize=(12, 6))\n",
    "y = np.concatenate((y , [sorted_mean.iloc[8:].sum()]))\n",
    "mylabels = mylabels.insert(len(mylabels),'Others')\n",
    "plt.pie(y, autopct='%1.1f%%', pctdistance=1.2 )\n",
    "plt.title(label=\"Ac\",\n",
    "          loc=\"center\")\n",
    "plt.legend(mylabels,  bbox_to_anchor=(0.00, 1))\n",
    "plt.show() "
   ]
  }
 ],
 "metadata": {
  "colab": {
   "name": "Copy of Casas_ADS_CW.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}