Apple_Health_Dashboard.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EXAMPLE: Personal Workout Tracking Data\n",
    "\n",
    "This Notebook provides an example on how to import data exported from Apple Health and parse that data then finally visualize it.\n",
    "\n",
    "NOTE: This is still a work-in-progress."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing necessary packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import date, datetime as dt, timedelta as td\n",
    "import pytz\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Start</th>\n",
       "      <th>End</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Average Heart Rate</th>\n",
       "      <th>Max Heart Rate</th>\n",
       "      <th>Average Pace</th>\n",
       "      <th>Average Speed</th>\n",
       "      <th>Average Cadence</th>\n",
       "      <th>Active Energy</th>\n",
       "      <th>Total Energy</th>\n",
       "      <th>Elevation Ascended</th>\n",
       "      <th>Elevation Descended</th>\n",
       "      <th>Weather Temperature</th>\n",
       "      <th>Weather Humidity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>High Intensity Interval Training</td>\n",
       "      <td>11/2/2020 18:13</td>\n",
       "      <td>11/2/2020 19:04</td>\n",
       "      <td>0:51:19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.885246</td>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>403.779</td>\n",
       "      <td>510.236</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.333333</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Stair Climbing</td>\n",
       "      <td>10/31/2020 11:21</td>\n",
       "      <td>10/31/2020 11:58</td>\n",
       "      <td>0:36:12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.785714</td>\n",
       "      <td>169</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>356.326</td>\n",
       "      <td>437.390</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.777778</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Traditional Strength Training</td>\n",
       "      <td>10/31/2020 10:52</td>\n",
       "      <td>10/31/2020 11:21</td>\n",
       "      <td>0:28:49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>129.920168</td>\n",
       "      <td>165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>220.743</td>\n",
       "      <td>267.130</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.666667</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Indoor Walking</td>\n",
       "      <td>10/29/2020 17:44</td>\n",
       "      <td>10/29/2020 18:23</td>\n",
       "      <td>0:38:54</td>\n",
       "      <td>2.558922</td>\n",
       "      <td>136.754098</td>\n",
       "      <td>149</td>\n",
       "      <td>0:15:12</td>\n",
       "      <td>3.946651</td>\n",
       "      <td>91.594429</td>\n",
       "      <td>249.822</td>\n",
       "      <td>333.331</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.444444</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Indoor Walking</td>\n",
       "      <td>10/26/2020 19:50</td>\n",
       "      <td>10/26/2020 20:29</td>\n",
       "      <td>0:38:53</td>\n",
       "      <td>2.593661</td>\n",
       "      <td>132.868421</td>\n",
       "      <td>151</td>\n",
       "      <td>0:14:59</td>\n",
       "      <td>4.001231</td>\n",
       "      <td>90.009114</td>\n",
       "      <td>268.838</td>\n",
       "      <td>349.355</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.444444</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Type             Start               End  \\\n",
       "0  High Intensity Interval Training   11/2/2020 18:13   11/2/2020 19:04   \n",
       "1                    Stair Climbing  10/31/2020 11:21  10/31/2020 11:58   \n",
       "2     Traditional Strength Training  10/31/2020 10:52  10/31/2020 11:21   \n",
       "3                    Indoor Walking  10/29/2020 17:44  10/29/2020 18:23   \n",
       "4                    Indoor Walking  10/26/2020 19:50  10/26/2020 20:29   \n",
       "\n",
       "  Duration  Distance  Average Heart Rate  Max Heart Rate Average Pace  \\\n",
       "0  0:51:19       NaN          132.885246             166          NaN   \n",
       "1  0:36:12       NaN          150.785714             169          NaN   \n",
       "2  0:28:49       NaN          129.920168             165          NaN   \n",
       "3  0:38:54  2.558922          136.754098             149      0:15:12   \n",
       "4  0:38:53  2.593661          132.868421             151      0:14:59   \n",
       "\n",
       "   Average Speed  Average Cadence  Active Energy  Total Energy  \\\n",
       "0            NaN              NaN        403.779       510.236   \n",
       "1            NaN              NaN        356.326       437.390   \n",
       "2            NaN              NaN        220.743       267.130   \n",
       "3       3.946651        91.594429        249.822       333.331   \n",
       "4       4.001231        90.009114        268.838       349.355   \n",
       "\n",
       "   Elevation Ascended  Elevation Descended  Weather Temperature  \\\n",
       "0                 NaN                  NaN             8.333333   \n",
       "1                 NaN                  NaN            12.777778   \n",
       "2                 NaN                  NaN            11.666667   \n",
       "3                 NaN                  NaN            24.444444   \n",
       "4                 NaN                  NaN            19.444444   \n",
       "\n",
       "   Weather Humidity  \n",
       "0                41  \n",
       "1                52  \n",
       "2                61  \n",
       "3                45  \n",
       "4                90  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# apple health\n",
    "workouts = pd.read_csv(\"C:/Users/bonth/OneDrive/Documents/GitHub/KSU_Health_Dashboard/90day_workouts.csv\")\n",
    "\n",
    "workouts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Drop unwanted metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Type</th>\n",
       "      <th>Start</th>\n",
       "      <th>End</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Average Heart Rate</th>\n",
       "      <th>Max Heart Rate</th>\n",
       "      <th>Active Energy</th>\n",
       "      <th>Total Energy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>High Intensity Interval Training</td>\n",
       "      <td>11/2/2020 18:13</td>\n",
       "      <td>11/2/2020 19:04</td>\n",
       "      <td>0:51:19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.885246</td>\n",
       "      <td>166</td>\n",
       "      <td>403.779</td>\n",
       "      <td>510.236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Stair Climbing</td>\n",
       "      <td>10/31/2020 11:21</td>\n",
       "      <td>10/31/2020 11:58</td>\n",
       "      <td>0:36:12</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Traditional Strength Training</td>\n",
       "      <td>10/31/2020 10:52</td>\n",
       "      <td>10/31/2020 11:21</td>\n",
       "      <td>0:28:49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>129.920168</td>\n",
       "      <td>165</td>\n",
       "      <td>220.743</td>\n",
       "      <td>267.130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Indoor Walking</td>\n",
       "      <td>10/29/2020 17:44</td>\n",
       "      <td>10/29/2020 18:23</td>\n",
       "      <td>0:38:54</td>\n",
       "      <td>2.558922</td>\n",
       "      <td>136.754098</td>\n",
       "      <td>149</td>\n",
       "      <td>249.822</td>\n",
       "      <td>333.331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Indoor Walking</td>\n",
       "      <td>10/26/2020 19:50</td>\n",
       "      <td>10/26/2020 20:29</td>\n",
       "      <td>0:38:53</td>\n",
       "      <td>2.593661</td>\n",
       "      <td>132.868421</td>\n",
       "      <td>151</td>\n",
       "      <td>268.838</td>\n",
       "      <td>349.355</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                               Type             Start               End  \\\n",
       "0  High Intensity Interval Training   11/2/2020 18:13   11/2/2020 19:04   \n",
       "1                    Stair Climbing  10/31/2020 11:21  10/31/2020 11:58   \n",
       "2     Traditional Strength Training  10/31/2020 10:52  10/31/2020 11:21   \n",
       "3                    Indoor Walking  10/29/2020 17:44  10/29/2020 18:23   \n",
       "4                    Indoor Walking  10/26/2020 19:50  10/26/2020 20:29   \n",
       "\n",
       "  Duration  Distance  Average Heart Rate  Max Heart Rate  Active Energy  \\\n",
       "0  0:51:19       NaN          132.885246             166        403.779   \n",
       "1  0:36:12       NaN          150.785714             169        356.326   \n",
       "2  0:28:49       NaN          129.920168             165        220.743   \n",
       "3  0:38:54  2.558922          136.754098             149        249.822   \n",
       "4  0:38:53  2.593661          132.868421             151        268.838   \n",
       "\n",
       "   Total Energy  \n",
       "0       510.236  \n",
       "1       437.390  \n",
       "2       267.130  \n",
       "3       333.331  \n",
       "4       349.355  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_workouts = workouts.drop(['Average Pace','Average Speed','Average Cadence','Elevation Ascended','Elevation Descended','Weather Temperature','Weather Humidity'], axis=1)\n",
    "\n",
    "new_workouts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Modifying the datetime stamp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Start</th>\n",
       "      <th>End</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Average Heart Rate</th>\n",
       "      <th>Max Heart Rate</th>\n",
       "      <th>Active Energy</th>\n",
       "      <th>Total Energy</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>High Intensity Interval Training</td>\n",
       "      <td>2020-11-02</td>\n",
       "      <td>11/2/2020 19:04</td>\n",
       "      <td>0:51:19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.885246</td>\n",
       "      <td>166</td>\n",
       "      <td>403.779</td>\n",
       "      <td>510.236</td>\n",
       "      <td>2020-11-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Stair Climbing</td>\n",
       "      <td>2020-10-31</td>\n",
       "      <td>10/31/2020 11:58</td>\n",
       "      <td>0:36:12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.785714</td>\n",
       "      <td>169</td>\n",
       "      <td>356.326</td>\n",
       "      <td>437.390</td>\n",
       "      <td>2020-10-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Traditional Strength Training</td>\n",
       "      <td>2020-10-31</td>\n",
       "      <td>10/31/2020 11:21</td>\n",
       "      <td>0:28:49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>129.920168</td>\n",
       "      <td>165</td>\n",
       "      <td>220.743</td>\n",
       "      <td>267.130</td>\n",
       "      <td>2020-10-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Indoor Walking</td>\n",
       "      <td>2020-10-29</td>\n",
       "      <td>10/29/2020 18:23</td>\n",
       "      <td>0:38:54</td>\n",
       "      <td>2.558922</td>\n",
       "      <td>136.754098</td>\n",
       "      <td>149</td>\n",
       "      <td>249.822</td>\n",
       "      <td>333.331</td>\n",
       "      <td>2020-10-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Indoor Walking</td>\n",
       "      <td>2020-10-26</td>\n",
       "      <td>10/26/2020 20:29</td>\n",
       "      <td>0:38:53</td>\n",
       "      <td>2.593661</td>\n",
       "      <td>132.868421</td>\n",
       "      <td>151</td>\n",
       "      <td>268.838</td>\n",
       "      <td>349.355</td>\n",
       "      <td>2020-10-26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Type       Start               End Duration  \\\n",
       "0  High Intensity Interval Training  2020-11-02   11/2/2020 19:04  0:51:19   \n",
       "1                    Stair Climbing  2020-10-31  10/31/2020 11:58  0:36:12   \n",
       "2     Traditional Strength Training  2020-10-31  10/31/2020 11:21  0:28:49   \n",
       "3                    Indoor Walking  2020-10-29  10/29/2020 18:23  0:38:54   \n",
       "4                    Indoor Walking  2020-10-26  10/26/2020 20:29  0:38:53   \n",
       "\n",
       "   Distance  Average Heart Rate  Max Heart Rate  Active Energy  Total Energy  \\\n",
       "0       NaN          132.885246             166        403.779       510.236   \n",
       "1       NaN          150.785714             169        356.326       437.390   \n",
       "2       NaN          129.920168             165        220.743       267.130   \n",
       "3  2.558922          136.754098             149        249.822       333.331   \n",
       "4  2.593661          132.868421             151        268.838       349.355   \n",
       "\n",
       "         Date  \n",
       "0  2020-11-02  \n",
       "1  2020-10-31  \n",
       "2  2020-10-31  \n",
       "3  2020-10-29  \n",
       "4  2020-10-26  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#removing time for the datetime stamp\n",
    "new_workouts['Start'] = pd.to_datetime(new_workouts['Start'])\n",
    "\n",
    "new_workouts['Start'] = new_workouts['Start'].dt.date\n",
    "\n",
    "#creating a new column called date from Start\n",
    "new_workouts['Date'] = new_workouts['Start']\n",
    "\n",
    "new_workouts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Getting some statistics of the data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Distance</th>\n",
       "      <th>Average Heart Rate</th>\n",
       "      <th>Max Heart Rate</th>\n",
       "      <th>Active Energy</th>\n",
       "      <th>Total Energy</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>54.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.467600</td>\n",
       "      <td>132.049561</td>\n",
       "      <td>157.814815</td>\n",
       "      <td>259.930537</td>\n",
       "      <td>332.105981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.732940</td>\n",
       "      <td>15.311375</td>\n",
       "      <td>15.091012</td>\n",
       "      <td>98.132155</td>\n",
       "      <td>114.825731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.052785</td>\n",
       "      <td>90.033708</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>11.061000</td>\n",
       "      <td>42.834000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.269670</td>\n",
       "      <td>130.074870</td>\n",
       "      <td>153.000000</td>\n",
       "      <td>220.984750</td>\n",
       "      <td>270.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.629042</td>\n",
       "      <td>134.826205</td>\n",
       "      <td>161.500000</td>\n",
       "      <td>263.661000</td>\n",
       "      <td>339.211500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.860247</td>\n",
       "      <td>140.642606</td>\n",
       "      <td>166.750000</td>\n",
       "      <td>308.219000</td>\n",
       "      <td>390.130250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.726180</td>\n",
       "      <td>158.348718</td>\n",
       "      <td>182.000000</td>\n",
       "      <td>547.164000</td>\n",
       "      <td>673.464000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Distance  Average Heart Rate  Max Heart Rate  Active Energy  \\\n",
       "count  26.000000           54.000000       54.000000      54.000000   \n",
       "mean    2.467600          132.049561      157.814815     259.930537   \n",
       "std     0.732940           15.311375       15.091012      98.132155   \n",
       "min     0.052785           90.033708      103.000000      11.061000   \n",
       "25%     2.269670          130.074870      153.000000     220.984750   \n",
       "50%     2.629042          134.826205      161.500000     263.661000   \n",
       "75%     2.860247          140.642606      166.750000     308.219000   \n",
       "max     3.726180          158.348718      182.000000     547.164000   \n",
       "\n",
       "       Total Energy  \n",
       "count     54.000000  \n",
       "mean     332.105981  \n",
       "std      114.825731  \n",
       "min       42.834000  \n",
       "25%      270.950000  \n",
       "50%      339.211500  \n",
       "75%      390.130250  \n",
       "max      673.464000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(new_workouts.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Avg HR Intesnity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Type</th>\n",
       "      <th>Start</th>\n",
       "      <th>End</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Average Heart Rate</th>\n",
       "      <th>Max Heart Rate</th>\n",
       "      <th>Active Energy</th>\n",
       "      <th>Total Energy</th>\n",
       "      <th>Date</th>\n",
       "      <th>Avg Heart Rate Intensity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>High Intensity Interval Training</td>\n",
       "      <td>2020-11-02</td>\n",
       "      <td>11/2/2020 19:04</td>\n",
       "      <td>0:51:19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.885246</td>\n",
       "      <td>166</td>\n",
       "      <td>403.779</td>\n",
       "      <td>510.236</td>\n",
       "      <td>2020-11-02</td>\n",
       "      <td>0.777107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Stair Climbing</td>\n",
       "      <td>2020-10-31</td>\n",
       "      <td>10/31/2020 11:58</td>\n",
       "      <td>0:36:12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.785714</td>\n",
       "      <td>169</td>\n",
       "      <td>356.326</td>\n",
       "      <td>437.390</td>\n",
       "      <td>2020-10-31</td>\n",
       "      <td>0.881788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Traditional Strength Training</td>\n",
       "      <td>2020-10-31</td>\n",
       "      <td>10/31/2020 11:21</td>\n",
       "      <td>0:28:49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>129.920168</td>\n",
       "      <td>165</td>\n",
       "      <td>220.743</td>\n",
       "      <td>267.130</td>\n",
       "      <td>2020-10-31</td>\n",
       "      <td>0.759767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Indoor Walking</td>\n",
       "      <td>2020-10-29</td>\n",
       "      <td>10/29/2020 18:23</td>\n",
       "      <td>0:38:54</td>\n",
       "      <td>2.558922</td>\n",
       "      <td>136.754098</td>\n",
       "      <td>149</td>\n",
       "      <td>249.822</td>\n",
       "      <td>333.331</td>\n",
       "      <td>2020-10-29</td>\n",
       "      <td>0.799732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Indoor Walking</td>\n",
       "      <td>2020-10-26</td>\n",
       "      <td>10/26/2020 20:29</td>\n",
       "      <td>0:38:53</td>\n",
       "      <td>2.593661</td>\n",
       "      <td>132.868421</td>\n",
       "      <td>151</td>\n",
       "      <td>268.838</td>\n",
       "      <td>349.355</td>\n",
       "      <td>2020-10-26</td>\n",
       "      <td>0.777008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Type       Start               End Duration  \\\n",
       "0  High Intensity Interval Training  2020-11-02   11/2/2020 19:04  0:51:19   \n",
       "1                    Stair Climbing  2020-10-31  10/31/2020 11:58  0:36:12   \n",
       "2     Traditional Strength Training  2020-10-31  10/31/2020 11:21  0:28:49   \n",
       "3                    Indoor Walking  2020-10-29  10/29/2020 18:23  0:38:54   \n",
       "4                    Indoor Walking  2020-10-26  10/26/2020 20:29  0:38:53   \n",
       "\n",
       "   Distance  Average Heart Rate  Max Heart Rate  Active Energy  Total Energy  \\\n",
       "0       NaN          132.885246             166        403.779       510.236   \n",
       "1       NaN          150.785714             169        356.326       437.390   \n",
       "2       NaN          129.920168             165        220.743       267.130   \n",
       "3  2.558922          136.754098             149        249.822       333.331   \n",
       "4  2.593661          132.868421             151        268.838       349.355   \n",
       "\n",
       "         Date  Avg Heart Rate Intensity  \n",
       "0  2020-11-02                  0.777107  \n",
       "1  2020-10-31                  0.881788  \n",
       "2  2020-10-31                  0.759767  \n",
       "3  2020-10-29                  0.799732  \n",
       "4  2020-10-26                  0.777008  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "age = input(\"Enter your age: \")\n",
    "\n",
    "new_workouts['Avg Heart Rate Intensity'] = new_workouts['Average Heart Rate'] / (220-int(age))\n",
    "\n",
    "new_workouts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Workout Types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     High Intensity Interval Training\n",
       "1                       Stair Climbing\n",
       "2        Traditional Strength Training\n",
       "3                       Indoor Walking\n",
       "4                       Indoor Walking\n",
       "5                      Outdoor Walking\n",
       "6                       Stair Climbing\n",
       "7        Traditional Strength Training\n",
       "8     High Intensity Interval Training\n",
       "9                       Indoor Walking\n",
       "10                      Indoor Walking\n",
       "11                      Indoor Walking\n",
       "12    High Intensity Interval Training\n",
       "13                      Indoor Walking\n",
       "14                     Outdoor Walking\n",
       "15                      Indoor Walking\n",
       "16                      Indoor Walking\n",
       "17    High Intensity Interval Training\n",
       "18                      Indoor Walking\n",
       "19                      Indoor Running\n",
       "20                      Indoor Running\n",
       "21                      Indoor Running\n",
       "22                      Indoor Running\n",
       "23                      Indoor Running\n",
       "24                      Indoor Running\n",
       "25                      Indoor Running\n",
       "26    High Intensity Interval Training\n",
       "27                      Indoor Running\n",
       "28                      Indoor Walking\n",
       "29                      Indoor Walking\n",
       "30                      Indoor Walking\n",
       "31                      Stair Climbing\n",
       "32       Traditional Strength Training\n",
       "33    High Intensity Interval Training\n",
       "34                              Hiking\n",
       "35                              Hiking\n",
       "36                      Stair Climbing\n",
       "37       Traditional Strength Training\n",
       "38                     Outdoor Walking\n",
       "39                      Stair Climbing\n",
       "40                      Stair Climbing\n",
       "41       Traditional Strength Training\n",
       "42    High Intensity Interval Training\n",
       "43                      Stair Climbing\n",
       "44       Traditional Strength Training\n",
       "45                      Stair Climbing\n",
       "46       Traditional Strength Training\n",
       "47                      Stair Climbing\n",
       "48    High Intensity Interval Training\n",
       "49    High Intensity Interval Training\n",
       "50                      Stair Climbing\n",
       "51       Traditional Strength Training\n",
       "52    High Intensity Interval Training\n",
       "53                      Indoor Walking\n",
       "Name: Type, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_workouts['Type']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting the data for visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualizing the calories burned of all exercise sessions over 90 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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   ],
   "source": [
    "\n",
    "fig = px.pie(new_workouts, names='Type', title='Percentage of workout types')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  (Bonus) User input to check if meeting exercise guidelines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "For more educational information on recommended daily exercise for adults, visit \n",
      "https://www.cdc.gov/physicalactivity/basics/adults/index.htm\n",
      "\n",
      "Your weekly exercise time of 120 is less than recommended. Consider increasing it to achieve at least 150 minutes per week to improve your health.\n"
     ]
    }
   ],
   "source": [
    "# Minutes of Weekly Aerobic Exercise\n",
    "\n",
    "def getAExer():\n",
    "    global Aex_time\n",
    "    \n",
    "    aex_time = input(\"Enter weekly aerobic exercise time in minutes: \")\n",
    "\n",
    "    print(\"For more educational information on recommended daily exercise for adults, visit\", \"\\nhttps://www.cdc.gov/physicalactivity/basics/adults/index.htm\")\n",
    "    print()\n",
    "    \n",
    "    if int(aex_time) <= 149:\n",
    "         print(\"Your weekly exercise time of\", aex_time, \"is less than recommended. Consider increasing it to achieve at least 150 minutes per week to improve your health.\")\n",
    "    elif int(aex_time) >= 150 and int(aex_time) <= 300:\n",
    "         print(\"Your weekly exercise time of\", aex_time, \"is within the recommended amount. Achieving 150-300 minutes per week will continue to improve your health.\")\n",
    "    elif int(aex_time) >= 301:\n",
    "         print(\"Your weekly exercise time of\", aex_time, \"exceeds the recommended amount. Your weekly total should benefit your health.\")\n",
    "    else:\n",
    "         print(\"Invalid entry for minutes of weekly aerobic exercise\")\n",
    "\n",
    "getAExer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For more educational information on recommended daily exercise for adults, visit \n",
      "https://www.cdc.gov/physicalactivity/basics/adults/index.htm\n",
      "\n",
      "Your weekly resistance training frequency of 3 is within the recommended amount. Achieving 2-3 days per week of resistance training will continue to preserve lean muscle mass and maintain a healthy weight.\n"
     ]
    }
   ],
   "source": [
    "# Resistance trainig frequency\n",
    "def getRTExer():\n",
    "    \n",
    "    RT_freq = input(\"Enter weekly frequency of resistance training: \")\n",
    "\n",
    "    print(\"For more educational information on recommended daily exercise for adults, visit\", \"\\nhttps://www.cdc.gov/physicalactivity/basics/adults/index.htm\")\n",
    "    print()\n",
    "    \n",
    "    if int(RT_freq) <= 1:\n",
    "         print(\"Your weekly resistance training frequency of\", RT_freq, \"is less than recommended. Consider increasing it to achieve at least 2 days per week to preserve lean muscle mass and maintain a healthy weight.\")\n",
    "    elif int(RT_freq) >= 2 and int(RT_freq) <= 3:\n",
    "         print(\"Your weekly resistance training frequency of\", RT_freq, \"is within the recommended amount. Achieving 2-3 days per week of resistance training will continue to preserve lean muscle mass and maintain a healthy weight.\")\n",
    "    elif int(RT_freq) >= 3:\n",
    "         print(\"Your weekly resistance training frequency of\", RT_freq, \"exceeds the recommended amount. Your weekly total should preserve lean muscle mass and healp maintain a healthy weight.\")\n",
    "    else:\n",
    "         print(\"Invalid entry for weekly frequency of resistance training\")\n",
    "\n",
    "getRTExer()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CALCULATE BMI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter height\n",
      "Your BMI is:  24.12\n"
     ]
    }
   ],
   "source": [
    "def getBMI():\n",
    "  \n",
    "  weightInLbs = int(input(\"Enter weight in Lbs: \"))\n",
    "  \n",
    "  print(\"Enter height\")\n",
    "  heightFeet = int(input(\"Enter height in feet: \"))\n",
    "  heightInches = int(input(\"Enter height in inches: \"))\n",
    "\n",
    "  heightInInches  = (heightFeet * 12) + heightInches \n",
    "  heightInMeter = heightInInches / 39.37\n",
    "  weightInKg = weightInLbs * 0.453592\n",
    "\n",
    "  BMI =  weightInKg / heightInMeter **2\n",
    "  print(\"Your BMI is: \", '{:.2f}'.format(BMI))\n",
    "  \n",
    "getBMI()"
   ]
  }
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