Mi_watch_viewer.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Todo:\n",
    "    - Correct labels\n",
    "    - Open window to chose file\n",
    "    - Create Dataframe for each key, check each dataframe for how it's formatted and what values does it hold\n",
    "    - Timezone, duration, sleep_deep_duration, sleep_light_duration, sleep_rem_duration, sleep_awake_duration values not properly evaluated\n",
    "    - Save data_full to a proper CSV, check what values appear together\n",
    "    -Fix sns.regplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import json\n",
    "import datetime as dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#Read the file and save it to variable\n",
    "with open(\"filepath.csv\") as f:\n",
    "    data = pd.read_csv(f, usecols=[\"Key\",\"Value\"],dtype={\"Key\":pd.StringDtype(), \"Value\":pd.StringDtype()})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert each dict in the value column to a readable dict (it's read as a string)\n",
    "values = [json.loads(row) for row in data[\"Value\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Key</th>\n",
       "      <th>date_time</th>\n",
       "      <th>bpm</th>\n",
       "      <th>time</th>\n",
       "      <th>weight</th>\n",
       "      <th>energy</th>\n",
       "      <th>state</th>\n",
       "      <th>state_value</th>\n",
       "      <th>spo2</th>\n",
       "      <th>stress</th>\n",
       "      <th>...</th>\n",
       "      <th>sleep_summary</th>\n",
       "      <th>sleep_advice</th>\n",
       "      <th>recover_score</th>\n",
       "      <th>nervous_score</th>\n",
       "      <th>awake_count</th>\n",
       "      <th>friendly_score</th>\n",
       "      <th>items</th>\n",
       "      <th>prev_bpm</th>\n",
       "      <th>bmi</th>\n",
       "      <th>sid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>resting_heart_rate</td>\n",
       "      <td>1.613174e+09</td>\n",
       "      <td>92.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>weight</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.613240e+09</td>\n",
       "      <td>88.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>energy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.613240e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>energy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.613240e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>energy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.613240e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Key     date_time   bpm          time  weight  energy  \\\n",
       "0  resting_heart_rate  1.613174e+09  92.0           NaN     NaN     NaN   \n",
       "1              weight           NaN   NaN  1.613240e+09    88.0     NaN   \n",
       "2              energy           NaN   NaN  1.613240e+09     NaN    25.0   \n",
       "3              energy           NaN   NaN  1.613240e+09     NaN    25.0   \n",
       "4              energy           NaN   NaN  1.613240e+09     NaN    25.0   \n",
       "\n",
       "   state  state_value  spo2  stress  ...  sleep_summary  sleep_advice  \\\n",
       "0    NaN          NaN   NaN     NaN  ...            NaN           NaN   \n",
       "1    NaN          NaN   NaN     NaN  ...            NaN           NaN   \n",
       "2    0.0          0.0   NaN     NaN  ...            NaN           NaN   \n",
       "3    0.0          0.0   NaN     NaN  ...            NaN           NaN   \n",
       "4    0.0          0.0   NaN     NaN  ...            NaN           NaN   \n",
       "\n",
       "   recover_score  nervous_score  awake_count  friendly_score  items  prev_bpm  \\\n",
       "0            NaN            NaN          NaN             NaN    NaN       NaN   \n",
       "1            NaN            NaN          NaN             NaN    NaN       NaN   \n",
       "2            NaN            NaN          NaN             NaN    NaN       NaN   \n",
       "3            NaN            NaN          NaN             NaN    NaN       NaN   \n",
       "4            NaN            NaN          NaN             NaN    NaN       NaN   \n",
       "\n",
       "   bmi  sid  \n",
       "0  NaN  NaN  \n",
       "1  NaN  NaN  \n",
       "2  NaN  NaN  \n",
       "3  NaN  NaN  \n",
       "4  NaN  NaN  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Convert values to a dataframe and concat to the original for filtering\n",
    "values = pd.DataFrame.from_dict(values)\n",
    "data_raw = pd.concat([data[\"Key\"], values], axis= 1)\n",
    "data_raw.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Key</th>\n",
       "      <th>date_time</th>\n",
       "      <th>bpm</th>\n",
       "      <th>time</th>\n",
       "      <th>weight</th>\n",
       "      <th>energy</th>\n",
       "      <th>state</th>\n",
       "      <th>state_value</th>\n",
       "      <th>spo2</th>\n",
       "      <th>stress</th>\n",
       "      <th>...</th>\n",
       "      <th>sleep_summary</th>\n",
       "      <th>sleep_advice</th>\n",
       "      <th>recover_score</th>\n",
       "      <th>nervous_score</th>\n",
       "      <th>awake_count</th>\n",
       "      <th>friendly_score</th>\n",
       "      <th>items</th>\n",
       "      <th>prev_bpm</th>\n",
       "      <th>bmi</th>\n",
       "      <th>sid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>resting_heart_rate</td>\n",
       "      <td>2021-02-13</td>\n",
       "      <td>92.0</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>weight</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-13 18:13:33</td>\n",
       "      <td>88.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>energy</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-13 18:17:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>energy</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-13 18:18:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>energy</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-02-13 18:19:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Key  date_time   bpm                time  weight  energy  \\\n",
       "0  resting_heart_rate 2021-02-13  92.0                 NaT     NaN     NaN   \n",
       "1              weight        NaT   NaN 2021-02-13 18:13:33    88.0     NaN   \n",
       "2              energy        NaT   NaN 2021-02-13 18:17:00     NaN    25.0   \n",
       "3              energy        NaT   NaN 2021-02-13 18:18:00     NaN    25.0   \n",
       "4              energy        NaT   NaN 2021-02-13 18:19:00     NaN    25.0   \n",
       "\n",
       "   state  state_value  spo2  stress  ... sleep_summary sleep_advice  \\\n",
       "0    NaN          NaN   NaN     NaN  ...           NaN          NaN   \n",
       "1    NaN          NaN   NaN     NaN  ...           NaN          NaN   \n",
       "2    0.0          0.0   NaN     NaN  ...           NaN          NaN   \n",
       "3    0.0          0.0   NaN     NaN  ...           NaN          NaN   \n",
       "4    0.0          0.0   NaN     NaN  ...           NaN          NaN   \n",
       "\n",
       "   recover_score  nervous_score  awake_count  friendly_score items prev_bpm  \\\n",
       "0            NaN            NaN          NaN             NaN   NaN      NaN   \n",
       "1            NaN            NaN          NaN             NaN   NaN      NaN   \n",
       "2            NaN            NaN          NaN             NaN   NaN      NaN   \n",
       "3            NaN            NaN          NaN             NaN   NaN      NaN   \n",
       "4            NaN            NaN          NaN             NaN   NaN      NaN   \n",
       "\n",
       "  bmi  sid  \n",
       "0 NaN  NaN  \n",
       "1 NaN  NaN  \n",
       "2 NaN  NaN  \n",
       "3 NaN  NaN  \n",
       "4 NaN  NaN  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Each column should be in datetime format \n",
    "timecols = [\"time\",\"date_time\",\"start_time\",\"end_time\",\"bedtime\",\"wake_up_time\",\"timezone\",\"duration\",\"sleep_deep_duration\",\"sleep_light_duration\",\"sleep_rem_duration\",\"sleep_awake_duration\"]\n",
    "data_full = data_raw.copy()\n",
    "for timecol in timecols:\n",
    "    data_full[timecol] = pd.to_datetime(data_raw[timecol], unit=\"s\")\n",
    "data_full.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<StringArray>\n",
       "[ 'resting_heart_rate',              'weight',              'energy',\n",
       "          'heart_rate',         'single_spo2',              'stress',\n",
       "         'valid_stand',               'steps',             'vo2_max',\n",
       "   'watch_night_sleep',            'calories', 'abnormal_heart_rate',\n",
       "      'max_heart_rate',      'min_heart_rate',           'intensity']\n",
       "Length: 15, dtype: string"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "keys = pd.unique(data_raw[\"Key\"])\n",
    "keys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>time</th>\n",
       "      <th>steps</th>\n",
       "      <th>times</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2021-02-13 19:17:00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2023-03-14 19:17:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2021-02-13 19:18:00</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2023-03-14 19:18:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2021-02-13 19:19:00</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2023-03-14 19:19:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2021-02-13 19:20:00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2023-03-14 19:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2021-02-13 19:21:00</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2023-03-14 19:21:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   time  steps               times\n",
       "99  2021-02-13 19:17:00    5.0 2023-03-14 19:17:00\n",
       "102 2021-02-13 19:18:00    8.0 2023-03-14 19:18:00\n",
       "105 2021-02-13 19:19:00   10.0 2023-03-14 19:19:00\n",
       "107 2021-02-13 19:20:00    5.0 2023-03-14 19:20:00\n",
       "109 2021-02-13 19:21:00   48.0 2023-03-14 19:21:00"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotdata = \"steps\"\n",
    "data_plot = data_full[[\"time\",plotdata]].copy()\n",
    "data_plot.dropna(inplace=True)\n",
    "times = [dt.datetime.combine(dt.datetime.today(),row) for row in data_plot[\"time\"].dt.time]\n",
    "data_plot[\"times\"] = times\n",
    "data_plot.plot(x=\"time\", y= plotdata, kind=\"scatter\", s=0.5)#, ylim= (0,500))\n",
    "data_plot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<StringArray>\n",
      "[ 'resting_heart_rate',              'weight',              'energy',\n",
      "          'heart_rate',         'single_spo2',              'stress',\n",
      "         'valid_stand',               'steps',             'vo2_max',\n",
      "   'watch_night_sleep',            'calories', 'abnormal_heart_rate',\n",
      "      'max_heart_rate',      'min_heart_rate',           'intensity']\n",
      "Length: 15, dtype: string\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>Key</th>\n",
       "      <th>date_time</th>\n",
       "      <th>bedtime</th>\n",
       "      <th>wake_up_time</th>\n",
       "      <th>timezone</th>\n",
       "      <th>duration</th>\n",
       "      <th>sleep_deep_duration</th>\n",
       "      <th>sleep_light_duration</th>\n",
       "      <th>sleep_rem_duration</th>\n",
       "      <th>sleep_awake_duration</th>\n",
       "      <th>total_score</th>\n",
       "      <th>quality_score</th>\n",
       "      <th>duration_score</th>\n",
       "      <th>sleep_summary</th>\n",
       "      <th>sleep_advice</th>\n",
       "      <th>recover_score</th>\n",
       "      <th>nervous_score</th>\n",
       "      <th>awake_count</th>\n",
       "      <th>friendly_score</th>\n",
       "      <th>items</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>721</th>\n",
       "      <td>watch_night_sleep</td>\n",
       "      <td>2021-02-14</td>\n",
       "      <td>2021-02-14 00:10:00</td>\n",
       "      <td>2021-02-14 07:20:00</td>\n",
       "      <td>1970-01-01 00:00:04</td>\n",
       "      <td>1970-01-01 00:07:10</td>\n",
       "      <td>1970-01-01 00:00:28</td>\n",
       "      <td>1970-01-01 00:04:56</td>\n",
       "      <td>1970-01-01 00:01:46</td>\n",
       "      <td>1970-01-01 00:00:00</td>\n",
       "      <td>76.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>[{'start_time': 1613261400, 'end_time': 161326...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4220</th>\n",
       "      <td>watch_night_sleep</td>\n",
       "      <td>2021-02-15</td>\n",
       "      <td>2021-02-14 23:01:00</td>\n",
       "      <td>2021-02-15 06:32:00</td>\n",
       "      <td>1970-01-01 00:00:04</td>\n",
       "      <td>1970-01-01 00:07:04</td>\n",
       "      <td>1970-01-01 00:00:30</td>\n",
       "      <td>1970-01-01 00:05:09</td>\n",
       "      <td>1970-01-01 00:01:25</td>\n",
       "      <td>1970-01-01 00:00:27</td>\n",
       "      <td>73.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>[{'start_time': 1613343660, 'end_time': 161334...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7197</th>\n",
       "      <td>watch_night_sleep</td>\n",
       "      <td>2021-02-16</td>\n",
       "      <td>2021-02-16 00:11:00</td>\n",
       "      <td>2021-02-16 07:10:00</td>\n",
       "      <td>1970-01-01 00:00:04</td>\n",
       "      <td>1970-01-01 00:06:59</td>\n",
       "      <td>1970-01-01 00:01:00</td>\n",
       "      <td>1970-01-01 00:04:20</td>\n",
       "      <td>1970-01-01 00:00:48</td>\n",
       "      <td>1970-01-01 00:00:51</td>\n",
       "      <td>77.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>[{'start_time': 1613434260, 'end_time': 161343...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10393</th>\n",
       "      <td>watch_night_sleep</td>\n",
       "      <td>2021-02-17</td>\n",
       "      <td>2021-02-17 01:09:00</td>\n",
       "      <td>2021-02-17 07:39:00</td>\n",
       "      <td>1970-01-01 00:00:04</td>\n",
       "      <td>1970-01-01 00:06:30</td>\n",
       "      <td>1970-01-01 00:00:42</td>\n",
       "      <td>1970-01-01 00:03:31</td>\n",
       "      <td>1970-01-01 00:01:53</td>\n",
       "      <td>1970-01-01 00:00:24</td>\n",
       "      <td>76.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>[{'start_time': 1613524140, 'end_time': 161352...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13713</th>\n",
       "      <td>watch_night_sleep</td>\n",
       "      <td>2021-02-18</td>\n",
       "      <td>2021-02-17 22:08:00</td>\n",
       "      <td>2021-02-18 06:00:00</td>\n",
       "      <td>1970-01-01 00:00:04</td>\n",
       "      <td>1970-01-01 00:07:52</td>\n",
       "      <td>1970-01-01 00:00:38</td>\n",
       "      <td>1970-01-01 00:05:15</td>\n",
       "      <td>1970-01-01 00:01:18</td>\n",
       "      <td>1970-01-01 00:00:41</td>\n",
       "      <td>66.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>[{'start_time': 1613599680, 'end_time': 161360...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Key  date_time             bedtime        wake_up_time  \\\n",
       "721    watch_night_sleep 2021-02-14 2021-02-14 00:10:00 2021-02-14 07:20:00   \n",
       "4220   watch_night_sleep 2021-02-15 2021-02-14 23:01:00 2021-02-15 06:32:00   \n",
       "7197   watch_night_sleep 2021-02-16 2021-02-16 00:11:00 2021-02-16 07:10:00   \n",
       "10393  watch_night_sleep 2021-02-17 2021-02-17 01:09:00 2021-02-17 07:39:00   \n",
       "13713  watch_night_sleep 2021-02-18 2021-02-17 22:08:00 2021-02-18 06:00:00   \n",
       "\n",
       "                 timezone            duration sleep_deep_duration  \\\n",
       "721   1970-01-01 00:00:04 1970-01-01 00:07:10 1970-01-01 00:00:28   \n",
       "4220  1970-01-01 00:00:04 1970-01-01 00:07:04 1970-01-01 00:00:30   \n",
       "7197  1970-01-01 00:00:04 1970-01-01 00:06:59 1970-01-01 00:01:00   \n",
       "10393 1970-01-01 00:00:04 1970-01-01 00:06:30 1970-01-01 00:00:42   \n",
       "13713 1970-01-01 00:00:04 1970-01-01 00:07:52 1970-01-01 00:00:38   \n",
       "\n",
       "      sleep_light_duration  sleep_rem_duration sleep_awake_duration  \\\n",
       "721    1970-01-01 00:04:56 1970-01-01 00:01:46  1970-01-01 00:00:00   \n",
       "4220   1970-01-01 00:05:09 1970-01-01 00:01:25  1970-01-01 00:00:27   \n",
       "7197   1970-01-01 00:04:20 1970-01-01 00:00:48  1970-01-01 00:00:51   \n",
       "10393  1970-01-01 00:03:31 1970-01-01 00:01:53  1970-01-01 00:00:24   \n",
       "13713  1970-01-01 00:05:15 1970-01-01 00:01:18  1970-01-01 00:00:41   \n",
       "\n",
       "       total_score  quality_score  duration_score  sleep_summary  \\\n",
       "721           76.0           69.0            73.0          102.0   \n",
       "4220          73.0           66.0            67.0          112.0   \n",
       "7197          77.0           72.0            44.0            8.0   \n",
       "10393         76.0           67.0            43.0            8.0   \n",
       "13713         66.0           50.0            64.0          112.0   \n",
       "\n",
       "       sleep_advice  recover_score  nervous_score  awake_count  \\\n",
       "721           118.0           69.0           33.0          0.0   \n",
       "4220          113.0           91.0            9.0          2.0   \n",
       "7197            4.0          100.0           39.0          2.0   \n",
       "10393           4.0           74.0           64.0          2.0   \n",
       "13713         113.0           77.0           12.0          4.0   \n",
       "\n",
       "       friendly_score                                              items  \n",
       "721              76.0  [{'start_time': 1613261400, 'end_time': 161326...  \n",
       "4220             73.0  [{'start_time': 1613343660, 'end_time': 161334...  \n",
       "7197             77.0  [{'start_time': 1613434260, 'end_time': 161343...  \n",
       "10393            76.0  [{'start_time': 1613524140, 'end_time': 161352...  \n",
       "13713            66.0  [{'start_time': 1613599680, 'end_time': 161360...  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(keys)\n",
    "key = 'watch_night_sleep'\n",
    "data_key = data_full[data_full[\"Key\"] == key].copy()\n",
    "data_key.dropna(axis= 1, inplace=True)\n",
    "data_key.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                      Key  date_time   bpm\n",
      "0      resting_heart_rate 2021-02-13  92.0\n",
      "719    resting_heart_rate 2021-02-14  75.0\n",
      "3977   resting_heart_rate 2021-02-15  67.0\n",
      "7196   resting_heart_rate 2021-02-16  66.0\n",
      "10395  resting_heart_rate 2021-02-17  58.0\n",
      "           Key                time  weight  bmi\n",
      "1       weight 2021-02-13 18:13:33    88.0  NaN\n",
      "218440  weight 2021-04-23 12:16:37    91.3  NaN\n",
      "240027  weight 2021-04-30 09:10:56    89.5  NaN\n",
      "829330  weight 2021-11-01 17:40:39    89.9  NaN\n",
      "832372  weight 2021-11-02 17:01:13    90.0  NaN\n",
      "      Key                time  energy  state  state_value\n",
      "2  energy 2021-02-13 18:17:00    25.0    0.0          0.0\n",
      "3  energy 2021-02-13 18:18:00    25.0    0.0          0.0\n",
      "4  energy 2021-02-13 18:19:00    25.0    0.0          0.0\n",
      "6  energy 2021-02-13 18:20:00     0.0    0.0          0.0\n",
      "7  energy 2021-02-13 18:21:00     0.0    0.0          0.0\n",
      "           Key    bpm                time\n",
      "5   heart_rate   94.0 2021-02-13 18:19:00\n",
      "24  heart_rate  113.0 2021-02-13 18:35:03\n",
      "29  heart_rate   80.0 2021-02-13 18:39:36\n",
      "40  heart_rate   69.0 2021-02-13 18:49:00\n",
      "42  heart_rate   86.0 2021-02-13 18:50:00\n",
      "              Key                time  spo2\n",
      "10    single_spo2 2021-02-13 18:23:23  96.0\n",
      "715   single_spo2 2021-02-13 23:04:33  97.0\n",
      "716   single_spo2 2021-02-13 23:47:13  97.0\n",
      "1627  single_spo2 2021-02-14 07:24:05  98.0\n",
      "1706  single_spo2 2021-02-14 07:44:06  96.0\n",
      "        Key                time  stress\n",
      "17   stress 2021-02-13 18:30:00    51.0\n",
      "63   stress 2021-02-13 19:00:00    56.0\n",
      "131  stress 2021-02-13 19:30:00    35.0\n",
      "194  stress 2021-02-13 20:00:00    71.0\n",
      "259  stress 2021-02-13 20:30:00    70.0\n",
      "              Key          start_time            end_time  sid\n",
      "61    valid_stand 2021-02-13 19:00:00 2021-02-13 20:00:00  NaN\n",
      "193   valid_stand 2021-02-13 20:00:00 2021-02-13 21:00:00  NaN\n",
      "330   valid_stand 2021-02-13 21:00:00 2021-02-13 22:00:00  NaN\n",
      "590   valid_stand 2021-02-13 23:00:00 2021-02-14 00:00:00  NaN\n",
      "1575  valid_stand 2021-02-14 07:00:00 2021-02-14 08:00:00  NaN\n",
      "       Key                time  steps  distance  calories\n",
      "99   steps 2021-02-13 19:17:00    5.0       3.0       0.0\n",
      "102  steps 2021-02-13 19:18:00    8.0       4.0       0.0\n",
      "105  steps 2021-02-13 19:19:00   10.0       6.0       0.0\n",
      "107  steps 2021-02-13 19:20:00    5.0       3.0       0.0\n",
      "109  steps 2021-02-13 19:21:00   48.0      29.0       0.0\n",
      "           Key                time  vo2_max\n",
      "587    vo2_max 2021-02-13 23:00:00     48.0\n",
      "3854   vo2_max 2021-02-14 23:00:00     48.0\n",
      "7131   vo2_max 2021-02-15 23:00:00     48.0\n",
      "10269  vo2_max 2021-02-16 23:00:00     48.0\n",
      "13350  vo2_max 2021-02-17 23:00:00     48.0\n",
      "                     Key  date_time             bedtime        wake_up_time  \\\n",
      "721    watch_night_sleep 2021-02-14 2021-02-14 00:10:00 2021-02-14 07:20:00   \n",
      "4220   watch_night_sleep 2021-02-15 2021-02-14 23:01:00 2021-02-15 06:32:00   \n",
      "7197   watch_night_sleep 2021-02-16 2021-02-16 00:11:00 2021-02-16 07:10:00   \n",
      "10393  watch_night_sleep 2021-02-17 2021-02-17 01:09:00 2021-02-17 07:39:00   \n",
      "13713  watch_night_sleep 2021-02-18 2021-02-17 22:08:00 2021-02-18 06:00:00   \n",
      "\n",
      "                 timezone            duration sleep_deep_duration  \\\n",
      "721   1970-01-01 00:00:04 1970-01-01 00:07:10 1970-01-01 00:00:28   \n",
      "4220  1970-01-01 00:00:04 1970-01-01 00:07:04 1970-01-01 00:00:30   \n",
      "7197  1970-01-01 00:00:04 1970-01-01 00:06:59 1970-01-01 00:01:00   \n",
      "10393 1970-01-01 00:00:04 1970-01-01 00:06:30 1970-01-01 00:00:42   \n",
      "13713 1970-01-01 00:00:04 1970-01-01 00:07:52 1970-01-01 00:00:38   \n",
      "\n",
      "      sleep_light_duration  sleep_rem_duration sleep_awake_duration  \\\n",
      "721    1970-01-01 00:04:56 1970-01-01 00:01:46  1970-01-01 00:00:00   \n",
      "4220   1970-01-01 00:05:09 1970-01-01 00:01:25  1970-01-01 00:00:27   \n",
      "7197   1970-01-01 00:04:20 1970-01-01 00:00:48  1970-01-01 00:00:51   \n",
      "10393  1970-01-01 00:03:31 1970-01-01 00:01:53  1970-01-01 00:00:24   \n",
      "13713  1970-01-01 00:05:15 1970-01-01 00:01:18  1970-01-01 00:00:41   \n",
      "\n",
      "       total_score  quality_score  duration_score  sleep_summary  \\\n",
      "721           76.0           69.0            73.0          102.0   \n",
      "4220          73.0           66.0            67.0          112.0   \n",
      "7197          77.0           72.0            44.0            8.0   \n",
      "10393         76.0           67.0            43.0            8.0   \n",
      "13713         66.0           50.0            64.0          112.0   \n",
      "\n",
      "       sleep_advice  recover_score  nervous_score  awake_count  \\\n",
      "721           118.0           69.0           33.0          0.0   \n",
      "4220          113.0           91.0            9.0          2.0   \n",
      "7197            4.0          100.0           39.0          2.0   \n",
      "10393           4.0           74.0           64.0          2.0   \n",
      "13713         113.0           77.0           12.0          4.0   \n",
      "\n",
      "       friendly_score                                              items  \n",
      "721              76.0  [{'start_time': 1613261400, 'end_time': 161326...  \n",
      "4220             73.0  [{'start_time': 1613343660, 'end_time': 161334...  \n",
      "7197             77.0  [{'start_time': 1613434260, 'end_time': 161343...  \n",
      "10393            76.0  [{'start_time': 1613524140, 'end_time': 161352...  \n",
      "13713            66.0  [{'start_time': 1613599680, 'end_time': 161360...  \n",
      "           Key                time  calories\n",
      "2020  calories 2021-02-14 10:15:00       1.0\n",
      "2026  calories 2021-02-14 10:18:00       1.0\n",
      "2031  calories 2021-02-14 10:19:00       4.0\n",
      "2034  calories 2021-02-14 10:20:00       6.0\n",
      "2038  calories 2021-02-14 10:21:00       4.0\n",
      "                         Key    bpm                time  prev_bpm\n",
      "141111   abnormal_heart_rate   47.0 2021-03-30 05:41:00     114.0\n",
      "513880   abnormal_heart_rate   50.0 2021-07-26 05:30:00     112.0\n",
      "2011115  abnormal_heart_rate  255.0 2022-12-13 23:00:00     255.0\n",
      "                    Key  date_time    bpm                time  \\\n",
      "1506069  max_heart_rate 2022-06-04  176.0 2022-06-04 15:06:47   \n",
      "1509302  max_heart_rate 2022-06-05  120.0 2022-06-05 00:40:00   \n",
      "1512363  max_heart_rate 2022-06-06  162.0 2022-06-06 06:43:51   \n",
      "1515528  max_heart_rate 2022-06-07  172.0 2022-06-07 06:33:22   \n",
      "1518813  max_heart_rate 2022-06-08  138.0 2022-06-08 16:12:36   \n",
      "\n",
      "                   timezone  \n",
      "1506069 1970-01-01 00:00:08  \n",
      "1509302 1970-01-01 00:00:08  \n",
      "1512363 1970-01-01 00:00:08  \n",
      "1515528 1970-01-01 00:00:08  \n",
      "1518813 1970-01-01 00:00:08  \n",
      "                    Key  date_time   bpm                time  \\\n",
      "1506070  min_heart_rate 2022-06-04  45.0 2022-06-04 02:19:00   \n",
      "1509305  min_heart_rate 2022-06-05  45.0 2022-06-05 08:22:00   \n",
      "1512367  min_heart_rate 2022-06-06  44.0 2022-06-06 04:06:00   \n",
      "1515533  min_heart_rate 2022-06-07  45.0 2022-06-07 03:12:00   \n",
      "1518814  min_heart_rate 2022-06-08  46.0 2022-06-08 05:12:00   \n",
      "\n",
      "                   timezone  \n",
      "1506070 1970-01-01 00:00:08  \n",
      "1509305 1970-01-01 00:00:08  \n",
      "1512367 1970-01-01 00:00:08  \n",
      "1515533 1970-01-01 00:00:08  \n",
      "1518814 1970-01-01 00:00:08  \n",
      "               Key                time\n",
      "1755615  intensity 2022-09-12 05:37:00\n",
      "1755621  intensity 2022-09-12 05:49:00\n",
      "1755624  intensity 2022-09-12 05:50:00\n",
      "1755628  intensity 2022-09-12 05:51:00\n",
      "1755630  intensity 2022-09-12 05:52:00\n"
     ]
    }
   ],
   "source": [
    "data_keys = {}\n",
    "for key in keys:\n",
    "    data_keys[key] = data_full[data_full[\"Key\"]== key].copy()\n",
    "    data_keys[key].dropna(axis= 1, how= \"all\", inplace= True)\n",
    "    #data_keys[key].to_csv(str(key)+\".csv\") #Uncomment to save a bunch of CSV files\n",
    "    print(data_keys[key].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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u7p+uu3KzY939VTObCTwGLAq+/gewxN0jfUpl/JKWJDP+NONK8v3NlIA2MzFMWp+tG7U748fdU/uiVPu/BXgWuDBYtg34V2Bj8LWi0Xr6+vpcpEhWbd7lcz7/Q1+1eVfi72913XG3147tSzhgwEPa1Kh9/F8NWfx6sNJHmvlLFIcyfmmk1YwpaxOVtPJ5yn31o2Nj9E7oGddfn8ZnVcafTa1OxDIJWAC8GHydSakMc6mZfSWhGEWa1mofaZy+/HZopQ+93Ff//K59h4YSqJRGRU6ceHV/oPOiZvzrgHPd/e3g515K3TgfBTa5+2lpBqmMXxppdaLx6iw46Ym826lyCsZ12/eMG0qg8vs0PtfI6BiPDe5ky643uOH8kw/NTlXr2LRzPxftaqPVjH8KMLni53cDRwd/CA4kEJ9IS+plkVGuBiZP6uWWi0451PVRPTFLnpT3xeRJvaHTAqadca/dOsxnvr2R+57Yzor+oYaTwLdzP+tJ35KoGf9S4HbgCUrj7iwGvgQ8DPyZu9+aYozK+CWyRtlu1MYujxl/vWx23/5Rvrr6RcbcWTDjKD5++vtSG0Qsasbf6F5EGpTxB8ujNPzBCqZTGncH4F/c/ZUE46tLDb9EVZ4YY9mSOazoH8rsBBlpqDcpyONbdnPd3w7gQI/BA1cvbGq/JDnxSNYnMekGzY7O+UF3f97Mzg77vbs/nWCMNanhl6jCMv5aded5y+gbaXSf47HBnWx65XXOOKGU8UP8fv8kK4KKln13QrMN/wPufr2ZrQn5tbv7byYZZC1q+CVpj2/ZzfXfHMAw7r+6mBlnZcYNRMq+laXni+bcbRNlMfnQif7lTog6/g5Ey/h1fudLq3PuHmFmt5vZA8HPJ5vZpUkH2Q1UNZAPE3t7uPiM6Ux6R29orXu3qFc1U1ndE7XSRzX43SFqVc93gA3A77n7vGCY5X909wUpxwco45fmJTnGTB5VZ/yQbg1/XN2+/zut1Tr+Oe5+F3AQwN3folTWKVWUEWVLoyuwbj9e5Subi+dNH1fPnwVZi6coop7tI2b2LsABzGwOenBLckAzNB0ua/sja/EURdSG/78CK4EZZvYtYDXwudSiEklIt2f0cad7bGV/JD21ZKvxSPOi7u1rgB8C/x14CFjo7k+kFZSIRNPOrhJ1y3SPqA3/g5RG6Pwk8JfA/WZ2U2pRibRJGllsOzXTVVL9maPugzjbirLOvO/7PIvU8Lv7GuCLwJ8AX6M0V+5/SjEukbbIexbbTFdJ9WeOug/ibCvKOvO+7/Msajnnakojcv4TpeGYf+zur6Yc2yF5KueUbIg6tEA3lxNGnWKx1sNs9d7faLiLqIO5deu+z4pWyzl/AowA8yhNwjIvqPIRyaSoE6t0883FWhl19Wee2NtD74Qebvz2xsMe9Kr1/ihDKUfZr92877Mu1pANZvYe4FrgFuB97v7OlOI6jDJ+aSRs0vR712zj9OOP5PxTjq07YFu3Csuo42TxzWb8Wc/ksx5fklodsmF58PTuM8BlwNeBTyQbokjzqrPTyZN66fvAFG7+zsZSl08B+5LDMup6VwGVD3rVen+t11bKet991uNri7AZ2Ku/KGX4HwZ6o7w+6a++vr64k8tLjh04+Lav2rzLDxx8u6X3lJe9+euDh/2u+rW1ttdMHFnX6LNW76skt9Hqa5PSjce1FmDAQ9rUqFU9d7v7encfTfFvkAjQXEYWlp2GTUEYtv56fdndlhnWyuLLnzWJq6Okq3+SpnsLGpZZMijtPtiwqpaw7SU56UgWRJmQvtEENs2uP8n3SHStVvWItE3aGVlYVUvY9tZt38OK/iHWbd+TShztVi+7rnV1lNT6a1H23Rna25Ir+/aPcvejL7Bvf+1ex6SeCO22AcTCPk+ST88m8RSxtIcafsmVKPX5SfUbd1s2GqfKJ6n1N9KN91HyoDvOaCmMZUvmsPyCk1h67ok1M8Vy5rlo9lRWbtrJysGdscelyaPKz1brc5aX79s/yuNbdrNo9tRIWXqcsXfK646yj7vtqiov1PBLrkye1MstF53Chpf2NuyvXrd9z7gnTLs5w6z8bI0qlcrVO+u274mUpccZeydOZVC3XVXlhap6JJeijgUT9WnUblD52UZGx0IrksKqd+Dw6Rib3W9JVAZJsmpV9ajhF+lCj2/ZXcq+P9XHx047LtZrH9+ym+u/OYBh3H914/dLdqnhFymQOFc2tUbrrDf6puSDGn7pOt32gJVI0vQAl3SdqEMvi8jhUm34zewmMxs0s81mdnOw7GgzW2VmLwb/TkkzBsmfsKkBy2WZlaWC5dLOZUvmdDhiqaWby2fzLLWG38zmAdcB5wDzgUvN7CTgNmC1u58MrA5+FjkkbBC1cllmZalgubRT3TzZ1c3ls3mW5v+YU4H17v4WgJn1A5dTGs///OA13wCeAP4oxTgkR/btH+Wfd/ySpR89kUWzpwKlh3zuu/JsMPjoSdNYMOOoQyWLugnZnLTKWqvXqwe0sinN/ymDwHlmNtXMjgAuAWYAx7n7zuA1u4DQWjEzu97MBsxsYHhY2UJRrOgf4oEnt/O1J7cfGhytcuKPykHEokwBKOHSysSr16sHtLIp1aoeM1sK3AD8CtgMHACudfejKl6z193r9vOrqqc49u4b4Y//YRMXnf6+Q0/f1spKm8n4u/kBrijKn79v5hQefGpH4hVRcfdv0Y9H2jpS1ePuD7p7n7svBvYCW4HdZjY9CGo68GqaMUi+bHhpL6ue283kSb2s276nblbaaArAMEXvcy5//gef2pHKkNNxM/yiH49OSTvjP9bdXzWzmcBjwCLgC8Aed7/DzG4Djnb3z9VbjzL+4qjMAIHEs8GiZ5hRh1Vo134q+vFIW0ce4DKzJ4GpwEHgs+6+2symAt8FZgI/A/6Du/+y3nrU8Iu0V5whHyS7OtXVc567n+bu8919dbBsj7tf6O4nu/vHGjX6Ukxh9d/lZXv3jTScjEVao2qc7qZrK8mksL7f8rLbHxnUE7spUzVOd9OTL5JJYRlneVnfzCmceMy79cSuSJM0SJuISJfSIG0doHFKRCSL1PCnSDXKIpJFavhTpMqI9tCVlUg8avhTpMqI9tCVlUg8apEkkyrH4K8cl7+c2Vd+X3llpexfpDE1/JJJYSNvVmb2ld9XXlkp+xdpTOWckklhI29GGcdHY7+I/BtNti4iseiPaP6pjl9EYlG3WfdSwy8ioVSO3L00Vo+IhCrfNJfuo4xfMqvZ0kyVdIrUp4ZfMqvZPmb1TYvUp6oeyaxmq0pUjSJSUquqR338klnN9jGrb1qkPqVDknvlPv19+0fVty8SgRp+yb1yn/6K/iH17YtEoK4eyb1yvfmi2VOZd/yRjI6VBnFT/75IOP3PkNwr9+lPntRL74Qelj/0jLJ+kTrU8EtX0dOmIo2pq0e6iip6RBpTxi+5oKdxRZKjhl9yQU/jiiRHDb/kgvruRZKjPn7JBfXdiyRHGb+ISMGo4RcRKRg1/CIiBaOGX0SkYNTwi4gUTKoNv5n9ZzPbbGaDZvawmU0yswvN7Gkz22hmPzazk9KMQfJt3/5R7n70BfbtH+10KCJdI7WG38xOAG4EFrr7PGAC8LvAXwFXufsC4CHg9rRikPxb0T/EPWu2saJ/qNOhiHSNtLt6eoF3mVkvcATwCuDAkcHv3xssS4Ue88+/ZUvmsPyCk1h67ok6liIJSa3hd/efA3cDLwE7gdfd/THgD4D/a2YvA1cDd4S938yuN7MBMxsYHm7uMX095p9/kyf1cstFp7Dhpb06liIJSW2ydTObAnwf+I/Aa8D3gL8DLgfudPf1ZnYrcIq7/0G9dTU72bom3e4eOpYi8XVisvWPATvcfTgI4O+Bc4H57r4+eM13gJVpBaDH/LuHjqVIctJMnV4CFpnZEWZmwIXAFuC9ZjY3eM1vAc+lGIN0Ed2zEUlGmn386yl17TwNbAq29QBwHfB9M3uWUh//rWnFIN1F92xEkpFaH3+Smu3jl+4S1s+vvn+R2mr18et/iuRGuZ+/soHXVYBIfGr4Jdc0QYtIfJqIRXJN1T4i8SnjFxEpGDX8IiIFo4ZfRKRg1PCLiBSMGn4RkYJRwy+5oOEaRJKjhl9yQQ9qiSRHDb/kgh7UEkmOHuCSXNCDWiLJUcYvIlIwavhFRApGDb+ISMGo4RcRKRg1/JILquMXSY4afskF1fGLJEcNv+SC6vhFkqM6fskF1fGLJEcZv4hIwajhFxEpGDX8IiIFo4ZfRKRg1PCLiBSMGn4RkYJRwy8iUjDm7p2OoSEzGwZ+1uk4gGOAX3Q6iBCKK74sxpbFmEBxxZWluD7g7uOeesxFw58VZjbg7gs7HUc1xRVfFmPLYkyguOLKalyV1NUjIlIwavhFRApGDX88D3Q6gBoUV3xZjC2LMYHiiiurcR2iPn4RkYJRxi8iUjBq+EVEisbdu/YLmAGsAbYAm4GbguVHA6uAF4N/pwTLrwJ+AmwC/hGYX7GurwOvAoMNtnkx8AKwDbgt5PdfBX6VlbiAJ4GNwdcuYLjNcYW+rmqba4M4W4qr1vkQc38tD5Y5cGYSxzGJuNI4vxLaX4mfXzHjauf5NQn4Z+DZYD3/rU5c1wTrfRG4pmL5F4F/BfbV+3/T6lfHG+dUPxxMB84Ovn8PsBU4DbirfHICtwF3Bt9/pOLgfgJYX7GuxcDZ1SdQ1fYmAEPAbGBicAKcVvH7hcA3Kf3HzExcFa/7IfAn7Yqr3uuqtvlF4G9ajavW+RBnfwFnAbOAnwKnJ3Eck4grjfMrqbiSPr+ixtWB88uAycH37wDWA4tCYjoa2B78OyX4vry+RcHnU8Of2IeFR4DfopSZTK84iV4Iee0U4OdVy2ZVn0BVv/8N4NGKnz8PfD74fgKlLGXcQe1kXBXLjgT2Ake2K656r6u3zVbjql5Pk/vrp8AxSR7HVuJK8/xKaH8lfn41iquT5xdwBPA08OGQ310B3F/x8/3AFVWvSbXhL0wfv5nNopStrQeOc/edwa92AWFz+i0FfhRzMydQukwrezlYBqUugv9dsd2sxFX228Bqd3+jjXHVE7rNpOKqWk+1KPur3vo6EVeq51cC++u3SeH8ahBXPamcX2Y2wcw2UupeWuXuiZxfSSvEnLtmNhn4PnCzu79hZod+5+5uZl71+gsoHdCPJrT944HfAc7PUlxVrgD+ZwbjOrTNpOKqXk+r8XU6rrTPr4T2V+LnV1LHMcnzy93fBhaY2VHAP5jZPHcfbDa2tHR9xm9m76B0ML/l7n8fLN5tZtOD30+n9Ne5/PozKZ2gl7n7ngbrnmFmG4OvZcDPKd14Knt/sOws4CRgm5n9FDjCzLZlIK7y648BzgF+2Ob9VU/YNluOK+zzxd1fVZ8pkf3VYlypnV9J7K80zq+IcdWTyvlV5u6vUep6u9jMPlwR1ycb7a+2SLMfqdNflG62/C3wlarlX+bwmzZ3Bd/PpFSV8JEa65tF/b70Xko3ak7k325ynR7yun1ZigtYBnyj3fur3utCtjnYaly1Pl8zx5Ggjz+J/ZVkXEmeX0nFlfT5FTWuDpxf04Cjgu/fRalS6NKQeI4GdlC6PzAl+P7o6mMY5bM1+5XairPwRekSzCmVXm0Mvi4BpgKrKZVSPV7e6ZT+gu+teO1AxboeBnYCByn1yS2tsc1LKFUFDAFfqPGat7IUF/AEpXK8Tuyv0NdVbfNfkoir1ueLs7+AG4M4RykNvZuJuNI4v5KKi4TPr5hxtfP8OhN4JljPIPCnddqmT1P647EN+P2K5XcFcY4F//5ZGm2jhmwQESmYru/jFxGRw6nhFxEpGDX8IiIFo4ZfRKRg1PCLiBSMGn6RKmZ2lJndEHx/vJn9XadjEkmSyjlFqgTjtfzA3ed1OhaRNBRirB6RmO4A5gSDbb0InOru88zsWkqDjb0bOBm4m9KTqlcDByg9RPRLM5sD3EvpSc63gOvc/fl2fwiRWtTVIzLebcCQuy8Abq363TzgcuBDlMZxf8vdzwL+Cfi94DUPAJ9x9z7gFuC+dgQtEpUyfpF41rj7m8CbZvY68H+C5ZuAM4MRHj8CfK9idMd3tj9MkdrU8IvEc6Di+7GKn8co/X/qAV4LrhZEMkldPSLjvUlpCr7YvDQu/A4z+x0AK5mfZHAirVLDL1LFS+OrP2Vmg5SG5o3rKmCpmZUn3b4syfhEWqVyThGRglHGLyJSMGr4RUQKRg2/iEjBqOEXESkYNfwiIgWjhl9EpGDU8IuIFMz/Bw126UoeYZpqAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotcolumns = ['date_time', 'bpm', 'time', 'weight', 'energy', 'state',\n",
    "       'state_value', 'spo2', 'stress', 'steps',\n",
    "       'distance', 'calories', 'vo2_max',\n",
    "       'timezone', 'prev_bpm', 'bmi']\n",
    "for column in plotcolumns:\n",
    "       data_full.plot(x=\"time\", y=column , kind=\"scatter\", s=0.5)\n",
    "       "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Columns plotted against time:\n",
    "- date_time\n",
    "- bpm\n",
    "- time\n",
    "- weight\n",
    "- energy\n",
    "- state\n",
    "- state_value\n",
    "- spo2\n",
    "- stress\n",
    "- steps\n",
    "- distance\n",
    "- calories\n",
    "- vo2_max\n",
    "- timezone\n",
    "- prev_bpm\n",
    "- bmi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "plotcolumns = ['bpm', 'weight', 'energy', 'state',\n",
    "       'state_value', 'spo2', 'stress', 'steps',\n",
    "       'distance', 'calories', 'vo2_max',\n",
    "       'timezone', 'prev_bpm', 'bmi']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "date_time\n",
      "bpm\n",
      "time\n",
      "weight\n",
      "energy\n",
      "state\n",
      "state_value\n",
      "spo2\n",
      "stress\n",
      "steps\n",
      "distance\n",
      "calories\n",
      "vo2_max\n",
      "timezone\n",
      "prev_bpm\n",
      "bmi\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for column in plotcolumns:\n",
    "    print(column)\n",
    "    sns.regplot(data=data_raw, x='time',y=column)    "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.2"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "5ab9ab41affd38341c4887f075fb5b74daa70eff41b1b1fca518a78942202e8f"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}