google-data-analytics-bellabeat-project.ipynb

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      "── \u001b[1mAttaching core tidyverse packages\u001b[22m ──────────────────────── tidyverse 2.0.0 ──\n",
      "\u001b[32m✔\u001b[39m \u001b[34mdplyr    \u001b[39m 1.1.0     \u001b[32m✔\u001b[39m \u001b[34mreadr    \u001b[39m 2.1.4\n",
      "\u001b[32m✔\u001b[39m \u001b[34mforcats  \u001b[39m 1.0.0     \u001b[32m✔\u001b[39m \u001b[34mstringr  \u001b[39m 1.5.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mggplot2  \u001b[39m 3.4.1     \u001b[32m✔\u001b[39m \u001b[34mtibble   \u001b[39m 3.1.8\n",
      "\u001b[32m✔\u001b[39m \u001b[34mlubridate\u001b[39m 1.9.2     \u001b[32m✔\u001b[39m \u001b[34mtidyr    \u001b[39m 1.3.0\n",
      "\u001b[32m✔\u001b[39m \u001b[34mpurrr    \u001b[39m 1.0.1     \n",
      "── \u001b[1mConflicts\u001b[22m ────────────────────────────────────────── tidyverse_conflicts() ──\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mfilter()\u001b[39m masks \u001b[34mstats\u001b[39m::filter()\n",
      "\u001b[31m✖\u001b[39m \u001b[34mdplyr\u001b[39m::\u001b[32mlag()\u001b[39m    masks \u001b[34mstats\u001b[39m::lag()\n",
      "\u001b[36mℹ\u001b[39m Use the conflicted package (\u001b[3m\u001b[34m<http://conflicted.r-lib.org/>\u001b[39m\u001b[23m) to force all conflicts to become errors\n"
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      "text/html": [
       "'fitbit'"
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       "'fitbit'"
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       "'fitbit'"
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       "[1] \"fitbit\""
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    "# This R environment comes with many helpful analytics packages installed\n",
    "# It is defined by the kaggle/rstats Docker image: https://github.com/kaggle/docker-rstats\n",
    "# For example, here's a helpful package to load\n",
    "\n",
    "library(tidyverse) # metapackage of all tidyverse packages\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "list.files(path = \"../input\")\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
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   "source": [
    "# GDA Case Study - Bellabeat project with R programming 📚\n",
    "\n",
    "Throughout this project, I will be using all the skills learned via the Google Data Analytics course taken on [Coursera](https://www.coursera.org/professional-certificates/google-data-analytics). \n",
    "\n",
    "The steps of data analysis that I will put into practice are: **ask, prepare, process, analyze, share and act.**\n",
    "\n",
    "I will make sure the data is **ROCCC**? This means making sure this data is:\n",
    "* Reliable\n",
    "* Original\n",
    "* Comprehensive\n",
    "* Current\n",
    "* Cited\n",
    "\n",
    "Let's get into it 📌"
   ]
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   "source": [
    "# A- Ask？\n",
    "\n",
    "**Company background**\n",
    "\n",
    "Bellabeat is a tech-driven wellness company that makes health-focused smart products for women. It was founded in 2013 and has grown rapidly since then. The co-founder and Chief Creative Officer, Urška Sršen, believes that analyzing non-Bellabeat consumer data, such as FitBit usage data, would uncover opportunities for further growth.\n",
    "\n",
    "**Questions**\n",
    "> What are the problems I am trying to solve for the company Bellabeat? \n",
    "> How can my insights help the company to make decisions?\n",
    "\n",
    "**To be answered**\n",
    "\n",
    "1. What are some trends in smart device usage?\n",
    "\n",
    "2. How could these trends apply to Bellabeat customers?\n",
    "\n",
    "3. How could these trends help influence Bellabeat marketing strategy?\n",
    "\n",
    "**Business task**\n",
    "\n",
    "> The company is looking to unlock new growth opportunities\n",
    "\n",
    "**Stakeholders**\n",
    "\n",
    "> Urška Sršen is the co-founder and Chief Creative Officer of Bellabeat. \n",
    "> Sando Mur is also a co-founder and a key member of the executive team. \n",
    "> Bellabeat has a marketing analytics team consisting of data analysts who guide the company's marketing strategy."
   ]
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   "source": [
    "# B - Prepare 📐👷🏾‍♂️\n",
    "\n",
    "**ROCCC Analysis**\n",
    "* Reliable: Bellabeat should gather more data that are representative of it's pololation (It's own customer based)\n",
    "\n",
    "* Original: \"Thirty eligible Fitbit users consented to the submission of personal tracker data\" It not an original data.\n",
    "\n",
    "* Comprehensive: The data isn't comprehenside as it doesn't represent the population we are looking to analyse. \n",
    "\n",
    "* Current: \"This dataset generated by respondents to a distributed survey via Amazon Mechanical Turk between 03.12.2016-05.12.2016\". This data set isn't current.\n",
    "\n",
    "* Cited: Yes, the source was provided by the user MÖBIUS <https://zenodo.org/record/53894#.X9oeh3Uzaao>\n",
    "\n",
    "The data is stored in wide format. The company (Bellabeat) should gather more data based on it's target (data that capure more info on women) But I can sill use this data to bring up some insights."
   ]
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   "source": [
    "**Install Packages, Upload Files**"
   ]
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   "source": [
    "#Installing tidyverse packages\n",
    "\n",
    "library(\"tidyverse\")\n",
    "library(\"skimr\")"
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      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 15</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>Id</th><th scope=col>ActivityDate</th><th scope=col>TotalSteps</th><th scope=col>TotalDistance</th><th scope=col>TrackerDistance</th><th scope=col>LoggedActivitiesDistance</th><th scope=col>VeryActiveDistance</th><th scope=col>ModeratelyActiveDistance</th><th scope=col>LightActiveDistance</th><th scope=col>SedentaryActiveDistance</th><th scope=col>VeryActiveMinutes</th><th scope=col>FairlyActiveMinutes</th><th scope=col>LightlyActiveMinutes</th><th scope=col>SedentaryMinutes</th><th scope=col>Calories</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>1503960366</td><td>4/12/2016</td><td>13162</td><td>8.50</td><td>8.50</td><td>0</td><td>1.88</td><td>0.55</td><td>6.06</td><td>0</td><td>25</td><td>13</td><td>328</td><td> 728</td><td>1985</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>1503960366</td><td>4/13/2016</td><td>10735</td><td>6.97</td><td>6.97</td><td>0</td><td>1.57</td><td>0.69</td><td>4.71</td><td>0</td><td>21</td><td>19</td><td>217</td><td> 776</td><td>1797</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>1503960366</td><td>4/14/2016</td><td>10460</td><td>6.74</td><td>6.74</td><td>0</td><td>2.44</td><td>0.40</td><td>3.91</td><td>0</td><td>30</td><td>11</td><td>181</td><td>1218</td><td>1776</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>1503960366</td><td>4/15/2016</td><td> 9762</td><td>6.28</td><td>6.28</td><td>0</td><td>2.14</td><td>1.26</td><td>2.83</td><td>0</td><td>29</td><td>34</td><td>209</td><td> 726</td><td>1745</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>1503960366</td><td>4/16/2016</td><td>12669</td><td>8.16</td><td>8.16</td><td>0</td><td>2.71</td><td>0.41</td><td>5.04</td><td>0</td><td>36</td><td>10</td><td>221</td><td> 773</td><td>1863</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>1503960366</td><td>4/17/2016</td><td> 9705</td><td>6.48</td><td>6.48</td><td>0</td><td>3.19</td><td>0.78</td><td>2.51</td><td>0</td><td>38</td><td>20</td><td>164</td><td> 539</td><td>1728</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
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       "A data.frame: 6 × 15\n",
       "\\begin{tabular}{r|lllllllllllllll}\n",
       "  & Id & ActivityDate & TotalSteps & TotalDistance & TrackerDistance & LoggedActivitiesDistance & VeryActiveDistance & ModeratelyActiveDistance & LightActiveDistance & SedentaryActiveDistance & VeryActiveMinutes & FairlyActiveMinutes & LightlyActiveMinutes & SedentaryMinutes & Calories\\\\\n",
       "  & <dbl> & <chr> & <int> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <int> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t1 & 1503960366 & 4/12/2016 & 13162 & 8.50 & 8.50 & 0 & 1.88 & 0.55 & 6.06 & 0 & 25 & 13 & 328 &  728 & 1985\\\\\n",
       "\t2 & 1503960366 & 4/13/2016 & 10735 & 6.97 & 6.97 & 0 & 1.57 & 0.69 & 4.71 & 0 & 21 & 19 & 217 &  776 & 1797\\\\\n",
       "\t3 & 1503960366 & 4/14/2016 & 10460 & 6.74 & 6.74 & 0 & 2.44 & 0.40 & 3.91 & 0 & 30 & 11 & 181 & 1218 & 1776\\\\\n",
       "\t4 & 1503960366 & 4/15/2016 &  9762 & 6.28 & 6.28 & 0 & 2.14 & 1.26 & 2.83 & 0 & 29 & 34 & 209 &  726 & 1745\\\\\n",
       "\t5 & 1503960366 & 4/16/2016 & 12669 & 8.16 & 8.16 & 0 & 2.71 & 0.41 & 5.04 & 0 & 36 & 10 & 221 &  773 & 1863\\\\\n",
       "\t6 & 1503960366 & 4/17/2016 &  9705 & 6.48 & 6.48 & 0 & 3.19 & 0.78 & 2.51 & 0 & 38 & 20 & 164 &  539 & 1728\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 15\n",
       "\n",
       "| <!--/--> | Id &lt;dbl&gt; | ActivityDate &lt;chr&gt; | TotalSteps &lt;int&gt; | TotalDistance &lt;dbl&gt; | TrackerDistance &lt;dbl&gt; | LoggedActivitiesDistance &lt;dbl&gt; | VeryActiveDistance &lt;dbl&gt; | ModeratelyActiveDistance &lt;dbl&gt; | LightActiveDistance &lt;dbl&gt; | SedentaryActiveDistance &lt;dbl&gt; | VeryActiveMinutes &lt;int&gt; | FairlyActiveMinutes &lt;int&gt; | LightlyActiveMinutes &lt;int&gt; | SedentaryMinutes &lt;int&gt; | Calories &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 1503960366 | 4/12/2016 | 13162 | 8.50 | 8.50 | 0 | 1.88 | 0.55 | 6.06 | 0 | 25 | 13 | 328 |  728 | 1985 |\n",
       "| 2 | 1503960366 | 4/13/2016 | 10735 | 6.97 | 6.97 | 0 | 1.57 | 0.69 | 4.71 | 0 | 21 | 19 | 217 |  776 | 1797 |\n",
       "| 3 | 1503960366 | 4/14/2016 | 10460 | 6.74 | 6.74 | 0 | 2.44 | 0.40 | 3.91 | 0 | 30 | 11 | 181 | 1218 | 1776 |\n",
       "| 4 | 1503960366 | 4/15/2016 |  9762 | 6.28 | 6.28 | 0 | 2.14 | 1.26 | 2.83 | 0 | 29 | 34 | 209 |  726 | 1745 |\n",
       "| 5 | 1503960366 | 4/16/2016 | 12669 | 8.16 | 8.16 | 0 | 2.71 | 0.41 | 5.04 | 0 | 36 | 10 | 221 |  773 | 1863 |\n",
       "| 6 | 1503960366 | 4/17/2016 |  9705 | 6.48 | 6.48 | 0 | 3.19 | 0.78 | 2.51 | 0 | 38 | 20 | 164 |  539 | 1728 |\n",
       "\n"
      ],
      "text/plain": [
       "  Id         ActivityDate TotalSteps TotalDistance TrackerDistance\n",
       "1 1503960366 4/12/2016    13162      8.50          8.50           \n",
       "2 1503960366 4/13/2016    10735      6.97          6.97           \n",
       "3 1503960366 4/14/2016    10460      6.74          6.74           \n",
       "4 1503960366 4/15/2016     9762      6.28          6.28           \n",
       "5 1503960366 4/16/2016    12669      8.16          8.16           \n",
       "6 1503960366 4/17/2016     9705      6.48          6.48           \n",
       "  LoggedActivitiesDistance VeryActiveDistance ModeratelyActiveDistance\n",
       "1 0                        1.88               0.55                    \n",
       "2 0                        1.57               0.69                    \n",
       "3 0                        2.44               0.40                    \n",
       "4 0                        2.14               1.26                    \n",
       "5 0                        2.71               0.41                    \n",
       "6 0                        3.19               0.78                    \n",
       "  LightActiveDistance SedentaryActiveDistance VeryActiveMinutes\n",
       "1 6.06                0                       25               \n",
       "2 4.71                0                       21               \n",
       "3 3.91                0                       30               \n",
       "4 2.83                0                       29               \n",
       "5 5.04                0                       36               \n",
       "6 2.51                0                       38               \n",
       "  FairlyActiveMinutes LightlyActiveMinutes SedentaryMinutes Calories\n",
       "1 13                  328                   728             1985    \n",
       "2 19                  217                   776             1797    \n",
       "3 11                  181                  1218             1776    \n",
       "4 34                  209                   726             1745    \n",
       "5 10                  221                   773             1863    \n",
       "6 20                  164                   539             1728    "
      ]
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       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>Id</th><th scope=col>SleepDay</th><th scope=col>TotalSleepRecords</th><th scope=col>TotalMinutesAsleep</th><th scope=col>TotalTimeInBed</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>1503960366</td><td>4/12/2016 12:00:00 AM</td><td>1</td><td>327</td><td>346</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>1503960366</td><td>4/13/2016 12:00:00 AM</td><td>2</td><td>384</td><td>407</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>1503960366</td><td>4/15/2016 12:00:00 AM</td><td>1</td><td>412</td><td>442</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>1503960366</td><td>4/16/2016 12:00:00 AM</td><td>2</td><td>340</td><td>367</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>1503960366</td><td>4/17/2016 12:00:00 AM</td><td>1</td><td>700</td><td>712</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>1503960366</td><td>4/19/2016 12:00:00 AM</td><td>1</td><td>304</td><td>320</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
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      "text/latex": [
       "A data.frame: 6 × 5\n",
       "\\begin{tabular}{r|lllll}\n",
       "  & Id & SleepDay & TotalSleepRecords & TotalMinutesAsleep & TotalTimeInBed\\\\\n",
       "  & <dbl> & <chr> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t1 & 1503960366 & 4/12/2016 12:00:00 AM & 1 & 327 & 346\\\\\n",
       "\t2 & 1503960366 & 4/13/2016 12:00:00 AM & 2 & 384 & 407\\\\\n",
       "\t3 & 1503960366 & 4/15/2016 12:00:00 AM & 1 & 412 & 442\\\\\n",
       "\t4 & 1503960366 & 4/16/2016 12:00:00 AM & 2 & 340 & 367\\\\\n",
       "\t5 & 1503960366 & 4/17/2016 12:00:00 AM & 1 & 700 & 712\\\\\n",
       "\t6 & 1503960366 & 4/19/2016 12:00:00 AM & 1 & 304 & 320\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 5\n",
       "\n",
       "| <!--/--> | Id &lt;dbl&gt; | SleepDay &lt;chr&gt; | TotalSleepRecords &lt;int&gt; | TotalMinutesAsleep &lt;int&gt; | TotalTimeInBed &lt;int&gt; |\n",
       "|---|---|---|---|---|---|\n",
       "| 1 | 1503960366 | 4/12/2016 12:00:00 AM | 1 | 327 | 346 |\n",
       "| 2 | 1503960366 | 4/13/2016 12:00:00 AM | 2 | 384 | 407 |\n",
       "| 3 | 1503960366 | 4/15/2016 12:00:00 AM | 1 | 412 | 442 |\n",
       "| 4 | 1503960366 | 4/16/2016 12:00:00 AM | 2 | 340 | 367 |\n",
       "| 5 | 1503960366 | 4/17/2016 12:00:00 AM | 1 | 700 | 712 |\n",
       "| 6 | 1503960366 | 4/19/2016 12:00:00 AM | 1 | 304 | 320 |\n",
       "\n"
      ],
      "text/plain": [
       "  Id         SleepDay              TotalSleepRecords TotalMinutesAsleep\n",
       "1 1503960366 4/12/2016 12:00:00 AM 1                 327               \n",
       "2 1503960366 4/13/2016 12:00:00 AM 2                 384               \n",
       "3 1503960366 4/15/2016 12:00:00 AM 1                 412               \n",
       "4 1503960366 4/16/2016 12:00:00 AM 2                 340               \n",
       "5 1503960366 4/17/2016 12:00:00 AM 1                 700               \n",
       "6 1503960366 4/19/2016 12:00:00 AM 1                 304               \n",
       "  TotalTimeInBed\n",
       "1 346           \n",
       "2 407           \n",
       "3 442           \n",
       "4 367           \n",
       "5 712           \n",
       "6 320           "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Uploading files\n",
    "\n",
    "daily_activity <- read.csv(\"/kaggle/input/fitbit/Fitabase Data 4.12.16-5.12.16/dailyActivity_merged.csv\")\n",
    "\n",
    "sleep_day <- read.csv(\"/kaggle/input/fitbit/Fitabase Data 4.12.16-5.12.16/sleepDay_merged.csv\")\n",
    "\n",
    "# Taking a look at the files\n",
    "\n",
    "head(daily_activity)\n",
    "\n",
    "head(sleep_day)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bb35764",
   "metadata": {
    "papermill": {
     "duration": 0.006567,
     "end_time": "2023-04-17T15:05:40.422825",
     "exception": false,
     "start_time": "2023-04-17T15:05:40.416258",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# C - Process 🛀🏾"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6928eadc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-17T15:05:40.439556Z",
     "iopub.status.busy": "2023-04-17T15:05:40.437941Z",
     "iopub.status.idle": "2023-04-17T15:05:40.474927Z",
     "shell.execute_reply": "2023-04-17T15:05:40.473047Z"
    },
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     "duration": 0.048394,
     "end_time": "2023-04-17T15:05:40.477776",
     "exception": false,
     "start_time": "2023-04-17T15:05:40.429382",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 14</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>Id</th><th scope=col>ActivityDate</th><th scope=col>TotalSteps</th><th scope=col>TotalDistance</th><th scope=col>LoggedActivitiesDistance</th><th scope=col>VeryActiveDistance</th><th scope=col>ModeratelyActiveDistance</th><th scope=col>LightActiveDistance</th><th scope=col>SedentaryActiveDistance</th><th scope=col>VeryActiveMinutes</th><th scope=col>FairlyActiveMinutes</th><th scope=col>LightlyActiveMinutes</th><th scope=col>SedentaryMinutes</th><th scope=col>Calories</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>1503960366</td><td>4/12/2016</td><td>13162</td><td>8.50</td><td>0</td><td>1.88</td><td>0.55</td><td>6.06</td><td>0</td><td>25</td><td>13</td><td>328</td><td> 728</td><td>1985</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>1503960366</td><td>4/13/2016</td><td>10735</td><td>6.97</td><td>0</td><td>1.57</td><td>0.69</td><td>4.71</td><td>0</td><td>21</td><td>19</td><td>217</td><td> 776</td><td>1797</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>1503960366</td><td>4/14/2016</td><td>10460</td><td>6.74</td><td>0</td><td>2.44</td><td>0.40</td><td>3.91</td><td>0</td><td>30</td><td>11</td><td>181</td><td>1218</td><td>1776</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>1503960366</td><td>4/15/2016</td><td> 9762</td><td>6.28</td><td>0</td><td>2.14</td><td>1.26</td><td>2.83</td><td>0</td><td>29</td><td>34</td><td>209</td><td> 726</td><td>1745</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>1503960366</td><td>4/16/2016</td><td>12669</td><td>8.16</td><td>0</td><td>2.71</td><td>0.41</td><td>5.04</td><td>0</td><td>36</td><td>10</td><td>221</td><td> 773</td><td>1863</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>1503960366</td><td>4/17/2016</td><td> 9705</td><td>6.48</td><td>0</td><td>3.19</td><td>0.78</td><td>2.51</td><td>0</td><td>38</td><td>20</td><td>164</td><td> 539</td><td>1728</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 14\n",
       "\\begin{tabular}{r|llllllllllllll}\n",
       "  & Id & ActivityDate & TotalSteps & TotalDistance & LoggedActivitiesDistance & VeryActiveDistance & ModeratelyActiveDistance & LightActiveDistance & SedentaryActiveDistance & VeryActiveMinutes & FairlyActiveMinutes & LightlyActiveMinutes & SedentaryMinutes & Calories\\\\\n",
       "  & <dbl> & <chr> & <int> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <int> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t1 & 1503960366 & 4/12/2016 & 13162 & 8.50 & 0 & 1.88 & 0.55 & 6.06 & 0 & 25 & 13 & 328 &  728 & 1985\\\\\n",
       "\t2 & 1503960366 & 4/13/2016 & 10735 & 6.97 & 0 & 1.57 & 0.69 & 4.71 & 0 & 21 & 19 & 217 &  776 & 1797\\\\\n",
       "\t3 & 1503960366 & 4/14/2016 & 10460 & 6.74 & 0 & 2.44 & 0.40 & 3.91 & 0 & 30 & 11 & 181 & 1218 & 1776\\\\\n",
       "\t4 & 1503960366 & 4/15/2016 &  9762 & 6.28 & 0 & 2.14 & 1.26 & 2.83 & 0 & 29 & 34 & 209 &  726 & 1745\\\\\n",
       "\t5 & 1503960366 & 4/16/2016 & 12669 & 8.16 & 0 & 2.71 & 0.41 & 5.04 & 0 & 36 & 10 & 221 &  773 & 1863\\\\\n",
       "\t6 & 1503960366 & 4/17/2016 &  9705 & 6.48 & 0 & 3.19 & 0.78 & 2.51 & 0 & 38 & 20 & 164 &  539 & 1728\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 14\n",
       "\n",
       "| <!--/--> | Id &lt;dbl&gt; | ActivityDate &lt;chr&gt; | TotalSteps &lt;int&gt; | TotalDistance &lt;dbl&gt; | LoggedActivitiesDistance &lt;dbl&gt; | VeryActiveDistance &lt;dbl&gt; | ModeratelyActiveDistance &lt;dbl&gt; | LightActiveDistance &lt;dbl&gt; | SedentaryActiveDistance &lt;dbl&gt; | VeryActiveMinutes &lt;int&gt; | FairlyActiveMinutes &lt;int&gt; | LightlyActiveMinutes &lt;int&gt; | SedentaryMinutes &lt;int&gt; | Calories &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 1503960366 | 4/12/2016 | 13162 | 8.50 | 0 | 1.88 | 0.55 | 6.06 | 0 | 25 | 13 | 328 |  728 | 1985 |\n",
       "| 2 | 1503960366 | 4/13/2016 | 10735 | 6.97 | 0 | 1.57 | 0.69 | 4.71 | 0 | 21 | 19 | 217 |  776 | 1797 |\n",
       "| 3 | 1503960366 | 4/14/2016 | 10460 | 6.74 | 0 | 2.44 | 0.40 | 3.91 | 0 | 30 | 11 | 181 | 1218 | 1776 |\n",
       "| 4 | 1503960366 | 4/15/2016 |  9762 | 6.28 | 0 | 2.14 | 1.26 | 2.83 | 0 | 29 | 34 | 209 |  726 | 1745 |\n",
       "| 5 | 1503960366 | 4/16/2016 | 12669 | 8.16 | 0 | 2.71 | 0.41 | 5.04 | 0 | 36 | 10 | 221 |  773 | 1863 |\n",
       "| 6 | 1503960366 | 4/17/2016 |  9705 | 6.48 | 0 | 3.19 | 0.78 | 2.51 | 0 | 38 | 20 | 164 |  539 | 1728 |\n",
       "\n"
      ],
      "text/plain": [
       "  Id         ActivityDate TotalSteps TotalDistance LoggedActivitiesDistance\n",
       "1 1503960366 4/12/2016    13162      8.50          0                       \n",
       "2 1503960366 4/13/2016    10735      6.97          0                       \n",
       "3 1503960366 4/14/2016    10460      6.74          0                       \n",
       "4 1503960366 4/15/2016     9762      6.28          0                       \n",
       "5 1503960366 4/16/2016    12669      8.16          0                       \n",
       "6 1503960366 4/17/2016     9705      6.48          0                       \n",
       "  VeryActiveDistance ModeratelyActiveDistance LightActiveDistance\n",
       "1 1.88               0.55                     6.06               \n",
       "2 1.57               0.69                     4.71               \n",
       "3 2.44               0.40                     3.91               \n",
       "4 2.14               1.26                     2.83               \n",
       "5 2.71               0.41                     5.04               \n",
       "6 3.19               0.78                     2.51               \n",
       "  SedentaryActiveDistance VeryActiveMinutes FairlyActiveMinutes\n",
       "1 0                       25                13                 \n",
       "2 0                       21                19                 \n",
       "3 0                       30                11                 \n",
       "4 0                       29                34                 \n",
       "5 0                       36                10                 \n",
       "6 0                       38                20                 \n",
       "  LightlyActiveMinutes SedentaryMinutes Calories\n",
       "1 328                   728             1985    \n",
       "2 217                   776             1797    \n",
       "3 181                  1218             1776    \n",
       "4 209                   726             1745    \n",
       "5 221                   773             1863    \n",
       "6 164                   539             1728    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# In the daily_activity csv, TotalDistance and Tracker Distance column are duplicated\n",
    "# Removing TrackerDistance column\n",
    "\n",
    "daily_activity <- subset (daily_activity, select = -c(TrackerDistance))\n",
    "\n",
    "\n",
    "head(daily_activity)\n",
    "\n",
    "# TrackerDistance colum removed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b993148d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-17T15:05:40.495233Z",
     "iopub.status.busy": "2023-04-17T15:05:40.493723Z",
     "iopub.status.idle": "2023-04-17T15:05:40.522445Z",
     "shell.execute_reply": "2023-04-17T15:05:40.520250Z"
    },
    "papermill": {
     "duration": 0.040501,
     "end_time": "2023-04-17T15:05:40.525279",
     "exception": false,
     "start_time": "2023-04-17T15:05:40.484778",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "'character'"
      ],
      "text/latex": [
       "'character'"
      ],
      "text/markdown": [
       "'character'"
      ],
      "text/plain": [
       "[1] \"character\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "'character'"
      ],
      "text/latex": [
       "'character'"
      ],
      "text/markdown": [
       "'character'"
      ],
      "text/plain": [
       "[1] \"character\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Formating issues\n",
    "\n",
    "# 1 - ID as character instead of numeric \n",
    "\n",
    "# daily_activity\n",
    "daily_activity$Id <- as.character(daily_activity$Id)\n",
    "class(daily_activity$Id)\n",
    "\n",
    "# sleep_day\n",
    "sleep_day$Id <- as.character(sleep_day$Id)\n",
    "class(sleep_day$Id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "04e37a7d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-17T15:05:40.543532Z",
     "iopub.status.busy": "2023-04-17T15:05:40.541865Z",
     "iopub.status.idle": "2023-04-17T15:05:40.601437Z",
     "shell.execute_reply": "2023-04-17T15:05:40.599709Z"
    },
    "papermill": {
     "duration": 0.071274,
     "end_time": "2023-04-17T15:05:40.603814",
     "exception": false,
     "start_time": "2023-04-17T15:05:40.532540",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 15</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>Id</th><th scope=col>ActivityDate</th><th scope=col>TotalSteps</th><th scope=col>TotalDistance</th><th scope=col>LoggedActivitiesDistance</th><th scope=col>VeryActiveDistance</th><th scope=col>ModeratelyActiveDistance</th><th scope=col>LightActiveDistance</th><th scope=col>SedentaryActiveDistance</th><th scope=col>VeryActiveMinutes</th><th scope=col>FairlyActiveMinutes</th><th scope=col>LightlyActiveMinutes</th><th scope=col>SedentaryMinutes</th><th scope=col>Calories</th><th scope=col>date</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>1503960366</td><td>2016-04-12</td><td>13162</td><td>8.50</td><td>0</td><td>1.88</td><td>0.55</td><td>6.06</td><td>0</td><td>25</td><td>13</td><td>328</td><td> 728</td><td>1985</td><td>04/12/16</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>1503960366</td><td>2016-04-13</td><td>10735</td><td>6.97</td><td>0</td><td>1.57</td><td>0.69</td><td>4.71</td><td>0</td><td>21</td><td>19</td><td>217</td><td> 776</td><td>1797</td><td>04/13/16</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>1503960366</td><td>2016-04-14</td><td>10460</td><td>6.74</td><td>0</td><td>2.44</td><td>0.40</td><td>3.91</td><td>0</td><td>30</td><td>11</td><td>181</td><td>1218</td><td>1776</td><td>04/14/16</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>1503960366</td><td>2016-04-15</td><td> 9762</td><td>6.28</td><td>0</td><td>2.14</td><td>1.26</td><td>2.83</td><td>0</td><td>29</td><td>34</td><td>209</td><td> 726</td><td>1745</td><td>04/15/16</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>1503960366</td><td>2016-04-16</td><td>12669</td><td>8.16</td><td>0</td><td>2.71</td><td>0.41</td><td>5.04</td><td>0</td><td>36</td><td>10</td><td>221</td><td> 773</td><td>1863</td><td>04/16/16</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>1503960366</td><td>2016-04-17</td><td> 9705</td><td>6.48</td><td>0</td><td>3.19</td><td>0.78</td><td>2.51</td><td>0</td><td>38</td><td>20</td><td>164</td><td> 539</td><td>1728</td><td>04/17/16</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 15\n",
       "\\begin{tabular}{r|lllllllllllllll}\n",
       "  & Id & ActivityDate & TotalSteps & TotalDistance & LoggedActivitiesDistance & VeryActiveDistance & ModeratelyActiveDistance & LightActiveDistance & SedentaryActiveDistance & VeryActiveMinutes & FairlyActiveMinutes & LightlyActiveMinutes & SedentaryMinutes & Calories & date\\\\\n",
       "  & <chr> & <dttm> & <int> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <int> & <int> & <int> & <int> & <int> & <chr>\\\\\n",
       "\\hline\n",
       "\t1 & 1503960366 & 2016-04-12 & 13162 & 8.50 & 0 & 1.88 & 0.55 & 6.06 & 0 & 25 & 13 & 328 &  728 & 1985 & 04/12/16\\\\\n",
       "\t2 & 1503960366 & 2016-04-13 & 10735 & 6.97 & 0 & 1.57 & 0.69 & 4.71 & 0 & 21 & 19 & 217 &  776 & 1797 & 04/13/16\\\\\n",
       "\t3 & 1503960366 & 2016-04-14 & 10460 & 6.74 & 0 & 2.44 & 0.40 & 3.91 & 0 & 30 & 11 & 181 & 1218 & 1776 & 04/14/16\\\\\n",
       "\t4 & 1503960366 & 2016-04-15 &  9762 & 6.28 & 0 & 2.14 & 1.26 & 2.83 & 0 & 29 & 34 & 209 &  726 & 1745 & 04/15/16\\\\\n",
       "\t5 & 1503960366 & 2016-04-16 & 12669 & 8.16 & 0 & 2.71 & 0.41 & 5.04 & 0 & 36 & 10 & 221 &  773 & 1863 & 04/16/16\\\\\n",
       "\t6 & 1503960366 & 2016-04-17 &  9705 & 6.48 & 0 & 3.19 & 0.78 & 2.51 & 0 & 38 & 20 & 164 &  539 & 1728 & 04/17/16\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 15\n",
       "\n",
       "| <!--/--> | Id &lt;chr&gt; | ActivityDate &lt;dttm&gt; | TotalSteps &lt;int&gt; | TotalDistance &lt;dbl&gt; | LoggedActivitiesDistance &lt;dbl&gt; | VeryActiveDistance &lt;dbl&gt; | ModeratelyActiveDistance &lt;dbl&gt; | LightActiveDistance &lt;dbl&gt; | SedentaryActiveDistance &lt;dbl&gt; | VeryActiveMinutes &lt;int&gt; | FairlyActiveMinutes &lt;int&gt; | LightlyActiveMinutes &lt;int&gt; | SedentaryMinutes &lt;int&gt; | Calories &lt;int&gt; | date &lt;chr&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 1503960366 | 2016-04-12 | 13162 | 8.50 | 0 | 1.88 | 0.55 | 6.06 | 0 | 25 | 13 | 328 |  728 | 1985 | 04/12/16 |\n",
       "| 2 | 1503960366 | 2016-04-13 | 10735 | 6.97 | 0 | 1.57 | 0.69 | 4.71 | 0 | 21 | 19 | 217 |  776 | 1797 | 04/13/16 |\n",
       "| 3 | 1503960366 | 2016-04-14 | 10460 | 6.74 | 0 | 2.44 | 0.40 | 3.91 | 0 | 30 | 11 | 181 | 1218 | 1776 | 04/14/16 |\n",
       "| 4 | 1503960366 | 2016-04-15 |  9762 | 6.28 | 0 | 2.14 | 1.26 | 2.83 | 0 | 29 | 34 | 209 |  726 | 1745 | 04/15/16 |\n",
       "| 5 | 1503960366 | 2016-04-16 | 12669 | 8.16 | 0 | 2.71 | 0.41 | 5.04 | 0 | 36 | 10 | 221 |  773 | 1863 | 04/16/16 |\n",
       "| 6 | 1503960366 | 2016-04-17 |  9705 | 6.48 | 0 | 3.19 | 0.78 | 2.51 | 0 | 38 | 20 | 164 |  539 | 1728 | 04/17/16 |\n",
       "\n"
      ],
      "text/plain": [
       "  Id         ActivityDate TotalSteps TotalDistance LoggedActivitiesDistance\n",
       "1 1503960366 2016-04-12   13162      8.50          0                       \n",
       "2 1503960366 2016-04-13   10735      6.97          0                       \n",
       "3 1503960366 2016-04-14   10460      6.74          0                       \n",
       "4 1503960366 2016-04-15    9762      6.28          0                       \n",
       "5 1503960366 2016-04-16   12669      8.16          0                       \n",
       "6 1503960366 2016-04-17    9705      6.48          0                       \n",
       "  VeryActiveDistance ModeratelyActiveDistance LightActiveDistance\n",
       "1 1.88               0.55                     6.06               \n",
       "2 1.57               0.69                     4.71               \n",
       "3 2.44               0.40                     3.91               \n",
       "4 2.14               1.26                     2.83               \n",
       "5 2.71               0.41                     5.04               \n",
       "6 3.19               0.78                     2.51               \n",
       "  SedentaryActiveDistance VeryActiveMinutes FairlyActiveMinutes\n",
       "1 0                       25                13                 \n",
       "2 0                       21                19                 \n",
       "3 0                       30                11                 \n",
       "4 0                       29                34                 \n",
       "5 0                       36                10                 \n",
       "6 0                       38                20                 \n",
       "  LightlyActiveMinutes SedentaryMinutes Calories date    \n",
       "1 328                   728             1985     04/12/16\n",
       "2 217                   776             1797     04/13/16\n",
       "3 181                  1218             1776     04/14/16\n",
       "4 209                   726             1745     04/15/16\n",
       "5 221                   773             1863     04/16/16\n",
       "6 164                   539             1728     04/17/16"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 6</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>Id</th><th scope=col>SleepDay</th><th scope=col>TotalSleepRecords</th><th scope=col>TotalMinutesAsleep</th><th scope=col>TotalTimeInBed</th><th scope=col>date</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>1503960366</td><td>2016-04-12</td><td>1</td><td>327</td><td>346</td><td>04/12/16</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>1503960366</td><td>2016-04-13</td><td>2</td><td>384</td><td>407</td><td>04/13/16</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>1503960366</td><td>2016-04-15</td><td>1</td><td>412</td><td>442</td><td>04/15/16</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>1503960366</td><td>2016-04-16</td><td>2</td><td>340</td><td>367</td><td>04/16/16</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>1503960366</td><td>2016-04-17</td><td>1</td><td>700</td><td>712</td><td>04/17/16</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>1503960366</td><td>2016-04-19</td><td>1</td><td>304</td><td>320</td><td>04/19/16</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 6\n",
       "\\begin{tabular}{r|llllll}\n",
       "  & Id & SleepDay & TotalSleepRecords & TotalMinutesAsleep & TotalTimeInBed & date\\\\\n",
       "  & <chr> & <dttm> & <int> & <int> & <int> & <chr>\\\\\n",
       "\\hline\n",
       "\t1 & 1503960366 & 2016-04-12 & 1 & 327 & 346 & 04/12/16\\\\\n",
       "\t2 & 1503960366 & 2016-04-13 & 2 & 384 & 407 & 04/13/16\\\\\n",
       "\t3 & 1503960366 & 2016-04-15 & 1 & 412 & 442 & 04/15/16\\\\\n",
       "\t4 & 1503960366 & 2016-04-16 & 2 & 340 & 367 & 04/16/16\\\\\n",
       "\t5 & 1503960366 & 2016-04-17 & 1 & 700 & 712 & 04/17/16\\\\\n",
       "\t6 & 1503960366 & 2016-04-19 & 1 & 304 & 320 & 04/19/16\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 6\n",
       "\n",
       "| <!--/--> | Id &lt;chr&gt; | SleepDay &lt;dttm&gt; | TotalSleepRecords &lt;int&gt; | TotalMinutesAsleep &lt;int&gt; | TotalTimeInBed &lt;int&gt; | date &lt;chr&gt; |\n",
       "|---|---|---|---|---|---|---|\n",
       "| 1 | 1503960366 | 2016-04-12 | 1 | 327 | 346 | 04/12/16 |\n",
       "| 2 | 1503960366 | 2016-04-13 | 2 | 384 | 407 | 04/13/16 |\n",
       "| 3 | 1503960366 | 2016-04-15 | 1 | 412 | 442 | 04/15/16 |\n",
       "| 4 | 1503960366 | 2016-04-16 | 2 | 340 | 367 | 04/16/16 |\n",
       "| 5 | 1503960366 | 2016-04-17 | 1 | 700 | 712 | 04/17/16 |\n",
       "| 6 | 1503960366 | 2016-04-19 | 1 | 304 | 320 | 04/19/16 |\n",
       "\n"
      ],
      "text/plain": [
       "  Id         SleepDay   TotalSleepRecords TotalMinutesAsleep TotalTimeInBed\n",
       "1 1503960366 2016-04-12 1                 327                346           \n",
       "2 1503960366 2016-04-13 2                 384                407           \n",
       "3 1503960366 2016-04-15 1                 412                442           \n",
       "4 1503960366 2016-04-16 2                 340                367           \n",
       "5 1503960366 2016-04-17 1                 700                712           \n",
       "6 1503960366 2016-04-19 1                 304                320           \n",
       "  date    \n",
       "1 04/12/16\n",
       "2 04/13/16\n",
       "3 04/15/16\n",
       "4 04/16/16\n",
       "5 04/17/16\n",
       "6 04/19/16"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2 - Fixing the time - Converting to date time format and split to date and time.\n",
    "\n",
    "# daily_activity\n",
    "daily_activity$ActivityDate=as.POSIXct(daily_activity$ActivityDate, format=\"%m/%d/%Y\", tz=Sys.timezone())\n",
    "daily_activity$date <- format(daily_activity$ActivityDate, format = \"%m/%d/%y\")\n",
    "\n",
    "# sleep_day\n",
    "sleep_day$SleepDay=as.POSIXct(sleep_day$SleepDay, format=\"%m/%d/%Y %I:%M:%S %p\", tz=Sys.timezone())\n",
    "sleep_day$date <- format(sleep_day$SleepDay, format = \"%m/%d/%y\")\n",
    "\n",
    "head(daily_activity)\n",
    "head(sleep_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5003f2ee",
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    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 19</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>Id</th><th scope=col>date</th><th scope=col>SleepDay</th><th scope=col>TotalSleepRecords</th><th scope=col>TotalMinutesAsleep</th><th scope=col>TotalTimeInBed</th><th scope=col>ActivityDate</th><th scope=col>TotalSteps</th><th scope=col>TotalDistance</th><th scope=col>LoggedActivitiesDistance</th><th scope=col>VeryActiveDistance</th><th scope=col>ModeratelyActiveDistance</th><th scope=col>LightActiveDistance</th><th scope=col>SedentaryActiveDistance</th><th scope=col>VeryActiveMinutes</th><th scope=col>FairlyActiveMinutes</th><th scope=col>LightlyActiveMinutes</th><th scope=col>SedentaryMinutes</th><th scope=col>Calories</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>1503960366</td><td>04/12/16</td><td>2016-04-12</td><td>1</td><td>327</td><td>346</td><td>2016-04-12</td><td>13162</td><td>8.50</td><td>0</td><td>1.88</td><td>0.55</td><td>6.06</td><td>0</td><td>25</td><td>13</td><td>328</td><td>728</td><td>1985</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>1503960366</td><td>04/13/16</td><td>2016-04-13</td><td>2</td><td>384</td><td>407</td><td>2016-04-13</td><td>10735</td><td>6.97</td><td>0</td><td>1.57</td><td>0.69</td><td>4.71</td><td>0</td><td>21</td><td>19</td><td>217</td><td>776</td><td>1797</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>1503960366</td><td>04/15/16</td><td>2016-04-15</td><td>1</td><td>412</td><td>442</td><td>2016-04-15</td><td> 9762</td><td>6.28</td><td>0</td><td>2.14</td><td>1.26</td><td>2.83</td><td>0</td><td>29</td><td>34</td><td>209</td><td>726</td><td>1745</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>1503960366</td><td>04/16/16</td><td>2016-04-16</td><td>2</td><td>340</td><td>367</td><td>2016-04-16</td><td>12669</td><td>8.16</td><td>0</td><td>2.71</td><td>0.41</td><td>5.04</td><td>0</td><td>36</td><td>10</td><td>221</td><td>773</td><td>1863</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>1503960366</td><td>04/17/16</td><td>2016-04-17</td><td>1</td><td>700</td><td>712</td><td>2016-04-17</td><td> 9705</td><td>6.48</td><td>0</td><td>3.19</td><td>0.78</td><td>2.51</td><td>0</td><td>38</td><td>20</td><td>164</td><td>539</td><td>1728</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>1503960366</td><td>04/19/16</td><td>2016-04-19</td><td>1</td><td>304</td><td>320</td><td>2016-04-19</td><td>15506</td><td>9.88</td><td>0</td><td>3.53</td><td>1.32</td><td>5.03</td><td>0</td><td>50</td><td>31</td><td>264</td><td>775</td><td>2035</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 19\n",
       "\\begin{tabular}{r|lllllllllllllllllll}\n",
       "  & Id & date & SleepDay & TotalSleepRecords & TotalMinutesAsleep & TotalTimeInBed & ActivityDate & TotalSteps & TotalDistance & LoggedActivitiesDistance & VeryActiveDistance & ModeratelyActiveDistance & LightActiveDistance & SedentaryActiveDistance & VeryActiveMinutes & FairlyActiveMinutes & LightlyActiveMinutes & SedentaryMinutes & Calories\\\\\n",
       "  & <chr> & <chr> & <dttm> & <int> & <int> & <int> & <dttm> & <int> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <int> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t1 & 1503960366 & 04/12/16 & 2016-04-12 & 1 & 327 & 346 & 2016-04-12 & 13162 & 8.50 & 0 & 1.88 & 0.55 & 6.06 & 0 & 25 & 13 & 328 & 728 & 1985\\\\\n",
       "\t2 & 1503960366 & 04/13/16 & 2016-04-13 & 2 & 384 & 407 & 2016-04-13 & 10735 & 6.97 & 0 & 1.57 & 0.69 & 4.71 & 0 & 21 & 19 & 217 & 776 & 1797\\\\\n",
       "\t3 & 1503960366 & 04/15/16 & 2016-04-15 & 1 & 412 & 442 & 2016-04-15 &  9762 & 6.28 & 0 & 2.14 & 1.26 & 2.83 & 0 & 29 & 34 & 209 & 726 & 1745\\\\\n",
       "\t4 & 1503960366 & 04/16/16 & 2016-04-16 & 2 & 340 & 367 & 2016-04-16 & 12669 & 8.16 & 0 & 2.71 & 0.41 & 5.04 & 0 & 36 & 10 & 221 & 773 & 1863\\\\\n",
       "\t5 & 1503960366 & 04/17/16 & 2016-04-17 & 1 & 700 & 712 & 2016-04-17 &  9705 & 6.48 & 0 & 3.19 & 0.78 & 2.51 & 0 & 38 & 20 & 164 & 539 & 1728\\\\\n",
       "\t6 & 1503960366 & 04/19/16 & 2016-04-19 & 1 & 304 & 320 & 2016-04-19 & 15506 & 9.88 & 0 & 3.53 & 1.32 & 5.03 & 0 & 50 & 31 & 264 & 775 & 2035\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 19\n",
       "\n",
       "| <!--/--> | Id &lt;chr&gt; | date &lt;chr&gt; | SleepDay &lt;dttm&gt; | TotalSleepRecords &lt;int&gt; | TotalMinutesAsleep &lt;int&gt; | TotalTimeInBed &lt;int&gt; | ActivityDate &lt;dttm&gt; | TotalSteps &lt;int&gt; | TotalDistance &lt;dbl&gt; | LoggedActivitiesDistance &lt;dbl&gt; | VeryActiveDistance &lt;dbl&gt; | ModeratelyActiveDistance &lt;dbl&gt; | LightActiveDistance &lt;dbl&gt; | SedentaryActiveDistance &lt;dbl&gt; | VeryActiveMinutes &lt;int&gt; | FairlyActiveMinutes &lt;int&gt; | LightlyActiveMinutes &lt;int&gt; | SedentaryMinutes &lt;int&gt; | Calories &lt;int&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 1503960366 | 04/12/16 | 2016-04-12 | 1 | 327 | 346 | 2016-04-12 | 13162 | 8.50 | 0 | 1.88 | 0.55 | 6.06 | 0 | 25 | 13 | 328 | 728 | 1985 |\n",
       "| 2 | 1503960366 | 04/13/16 | 2016-04-13 | 2 | 384 | 407 | 2016-04-13 | 10735 | 6.97 | 0 | 1.57 | 0.69 | 4.71 | 0 | 21 | 19 | 217 | 776 | 1797 |\n",
       "| 3 | 1503960366 | 04/15/16 | 2016-04-15 | 1 | 412 | 442 | 2016-04-15 |  9762 | 6.28 | 0 | 2.14 | 1.26 | 2.83 | 0 | 29 | 34 | 209 | 726 | 1745 |\n",
       "| 4 | 1503960366 | 04/16/16 | 2016-04-16 | 2 | 340 | 367 | 2016-04-16 | 12669 | 8.16 | 0 | 2.71 | 0.41 | 5.04 | 0 | 36 | 10 | 221 | 773 | 1863 |\n",
       "| 5 | 1503960366 | 04/17/16 | 2016-04-17 | 1 | 700 | 712 | 2016-04-17 |  9705 | 6.48 | 0 | 3.19 | 0.78 | 2.51 | 0 | 38 | 20 | 164 | 539 | 1728 |\n",
       "| 6 | 1503960366 | 04/19/16 | 2016-04-19 | 1 | 304 | 320 | 2016-04-19 | 15506 | 9.88 | 0 | 3.53 | 1.32 | 5.03 | 0 | 50 | 31 | 264 | 775 | 2035 |\n",
       "\n"
      ],
      "text/plain": [
       "  Id         date     SleepDay   TotalSleepRecords TotalMinutesAsleep\n",
       "1 1503960366 04/12/16 2016-04-12 1                 327               \n",
       "2 1503960366 04/13/16 2016-04-13 2                 384               \n",
       "3 1503960366 04/15/16 2016-04-15 1                 412               \n",
       "4 1503960366 04/16/16 2016-04-16 2                 340               \n",
       "5 1503960366 04/17/16 2016-04-17 1                 700               \n",
       "6 1503960366 04/19/16 2016-04-19 1                 304               \n",
       "  TotalTimeInBed ActivityDate TotalSteps TotalDistance LoggedActivitiesDistance\n",
       "1 346            2016-04-12   13162      8.50          0                       \n",
       "2 407            2016-04-13   10735      6.97          0                       \n",
       "3 442            2016-04-15    9762      6.28          0                       \n",
       "4 367            2016-04-16   12669      8.16          0                       \n",
       "5 712            2016-04-17    9705      6.48          0                       \n",
       "6 320            2016-04-19   15506      9.88          0                       \n",
       "  VeryActiveDistance ModeratelyActiveDistance LightActiveDistance\n",
       "1 1.88               0.55                     6.06               \n",
       "2 1.57               0.69                     4.71               \n",
       "3 2.14               1.26                     2.83               \n",
       "4 2.71               0.41                     5.04               \n",
       "5 3.19               0.78                     2.51               \n",
       "6 3.53               1.32                     5.03               \n",
       "  SedentaryActiveDistance VeryActiveMinutes FairlyActiveMinutes\n",
       "1 0                       25                13                 \n",
       "2 0                       21                19                 \n",
       "3 0                       29                34                 \n",
       "4 0                       36                10                 \n",
       "5 0                       38                20                 \n",
       "6 0                       50                31                 \n",
       "  LightlyActiveMinutes SedentaryMinutes Calories\n",
       "1 328                  728              1985    \n",
       "2 217                  776              1797    \n",
       "3 209                  726              1745    \n",
       "4 221                  773              1863    \n",
       "5 164                  539              1728    \n",
       "6 264                  775              2035    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Merging these two datasets together: daily_activity and sleep_day\n",
    "\n",
    "daily_activity_merged <- merge(sleep_day, daily_activity, by = c('Id', 'date'))\n",
    "head(daily_activity_merged)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbe74840",
   "metadata": {
    "papermill": {
     "duration": 0.007938,
     "end_time": "2023-04-17T15:05:40.689700",
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     "start_time": "2023-04-17T15:05:40.681762",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# D - Analyse 🔍"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4088c3aa",
   "metadata": {
    "papermill": {
     "duration": 0.007777,
     "end_time": "2023-04-17T15:05:40.705358",
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     "start_time": "2023-04-17T15:05:40.697581",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Checking distinct values and Summary of the data**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8ac2dab6",
   "metadata": {
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    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "33"
      ],
      "text/latex": [
       "33"
      ],
      "text/markdown": [
       "33"
      ],
      "text/plain": [
       "[1] 33"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "24"
      ],
      "text/latex": [
       "24"
      ],
      "text/markdown": [
       "24"
      ],
      "text/plain": [
       "[1] 24"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Checking distinct values\n",
    "\n",
    "#daily_activity \n",
    "\n",
    "n_distinct(daily_activity$Id)\n",
    "\n",
    "#sleep_day\n",
    "\n",
    "n_distinct(sleep_day$Id)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8c313a9",
   "metadata": {
    "papermill": {
     "duration": 0.008369,
     "end_time": "2023-04-17T15:05:40.767523",
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     "start_time": "2023-04-17T15:05:40.759154",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "This tells us there is 33 distinct participants in the daily_activity and the daily_intensities dataset. While the sleep_day dataset has 24 Participants. \n",
    "\n",
    "**Now what are some quick summary statistics we'd want to know about each data frame?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f7d13f1f",
   "metadata": {
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    },
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   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   TotalSteps    TotalDistance       Calories   \n",
       " Min.   :    0   Min.   : 0.000   Min.   :   0  \n",
       " 1st Qu.: 3790   1st Qu.: 2.620   1st Qu.:1828  \n",
       " Median : 7406   Median : 5.245   Median :2134  \n",
       " Mean   : 7638   Mean   : 5.490   Mean   :2304  \n",
       " 3rd Qu.:10727   3rd Qu.: 7.713   3rd Qu.:2793  \n",
       " Max.   :36019   Max.   :28.030   Max.   :4900  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       " LightlyActiveMinutes FairlyActiveMinutes VeryActiveMinutes SedentaryMinutes\n",
       " Min.   :  0.0        Min.   :  0.00      Min.   :  0.00    Min.   :   0.0  \n",
       " 1st Qu.:127.0        1st Qu.:  0.00      1st Qu.:  0.00    1st Qu.: 729.8  \n",
       " Median :199.0        Median :  6.00      Median :  4.00    Median :1057.5  \n",
       " Mean   :192.8        Mean   : 13.56      Mean   : 21.16    Mean   : 991.2  \n",
       " 3rd Qu.:264.0        3rd Qu.: 19.00      3rd Qu.: 32.00    3rd Qu.:1229.5  \n",
       " Max.   :518.0        Max.   :143.00      Max.   :210.00    Max.   :1440.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       " TotalSleepRecords TotalMinutesAsleep TotalTimeInBed \n",
       " Min.   :1.000     Min.   : 58.0      Min.   : 61.0  \n",
       " 1st Qu.:1.000     1st Qu.:361.0      1st Qu.:403.0  \n",
       " Median :1.000     Median :433.0      Median :463.0  \n",
       " Mean   :1.119     Mean   :419.5      Mean   :458.6  \n",
       " 3rd Qu.:1.000     3rd Qu.:490.0      3rd Qu.:526.0  \n",
       " Max.   :3.000     Max.   :796.0      Max.   :961.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#daily_activity \n",
    "\n",
    "daily_activity %>%  \n",
    "  select(TotalSteps,\n",
    "         TotalDistance,\n",
    "         Calories,) %>%\n",
    "  summary()\n",
    "\n",
    "daily_activity %>%  \n",
    "  select(LightlyActiveMinutes,\n",
    "         FairlyActiveMinutes,\n",
    "         VeryActiveMinutes,\n",
    "         SedentaryMinutes,) %>%\n",
    "  summary()\n",
    "\n",
    "#sleep_day\n",
    "\n",
    "sleep_day %>%  \n",
    "  select(TotalSleepRecords,\n",
    "  TotalMinutesAsleep,\n",
    "  TotalTimeInBed) %>%\n",
    "  summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2dd9a99",
   "metadata": {
    "papermill": {
     "duration": 0.008215,
     "end_time": "2023-04-17T15:05:40.886461",
     "exception": false,
     "start_time": "2023-04-17T15:05:40.878246",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "* The average steps is **7638**, approximately **5.5kms**\n",
    "* The average sedentary minutes is **991.2**. Approximately **16 and half hour** sedentary. \n",
    "* Users are on average **3 hours lightly active** and they are **less than half an hour fairly or very active**.\n",
    "* The users sleep on average **7 hours**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a4037e3",
   "metadata": {
    "papermill": {
     "duration": 0.008452,
     "end_time": "2023-04-17T15:05:40.903254",
     "exception": false,
     "start_time": "2023-04-17T15:05:40.894802",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# E - Share ✍🏾\n",
    "\n",
    "Let's visualize 📊!\n",
    "\n",
    "**1- Total Steps vs Calories**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e1c6751c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-17T15:05:40.923774Z",
     "iopub.status.busy": "2023-04-17T15:05:40.922248Z",
     "iopub.status.idle": "2023-04-17T15:05:43.014785Z",
     "shell.execute_reply": "2023-04-17T15:05:43.012801Z"
    },
    "papermill": {
     "duration": 2.107385,
     "end_time": "2023-04-17T15:05:43.019155",
     "exception": false,
     "start_time": "2023-04-17T15:05:40.911770",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“\u001b[1m\u001b[22mUsing `size` aesthetic for lines was deprecated in ggplot2 3.4.0.\n",
      "\u001b[36mℹ\u001b[39m Please use `linewidth` instead.”\n",
      "\u001b[1m\u001b[22m`geom_smooth()` using formula = 'y ~ x'\n"
     ]
    },
    {
     "data": {
      "image/png": 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hBhuCiw+PbvXZ7KadJktRuq++v/eV+n\nN4ld6BrCe94kdl+2ja9tF4o67ual6Ut7NhPX82+NDxfKLwv2XuCHstyTf61ZMfe1Z++4oYfz\nTe7y2Ott28fDShkq1oOP0vpdXi+HxM7594/Vf692Fxcbd6LcOt1iOC3utGLxLbqMemDKp9+u\nPJFX7fuG8XkfCVkkbp1fZXdMTujwTaA1BrVDBrgfiRM7RppqcnN0dBdAIH2y/psShR0mdgB1\nPhV74iFxYfFTsby5cP4L92cnON4/QVFUix7DxFOCldgRQlYMrb2FlqKYf2vMhBBj1VbxIvMu\naYiPJmfY3bQ04ZdN/9j7dKjd43WdnrTL/B5KqR0SRaru7tNHB5bYkX0vdLXNopmoSyaOOF0P\n/c1piJYAEzsSsobwnjeJ3TRRs0rkWe6q2j25o7ieL0VXluvcGiHaCwKkLzry2rhu9hHBvCsv\nn/CwUpq898FHcW0+t20Ku+nZ813GVrDD7qHpYZtq35pw7tdXkqWuv4Ztml818I1Ff/g0NIUf\n+0iIInGn6uw0cc3y2EF+VxWKDhngfiRO7ORxw90t7i6AQPokqfemRGGHAxTX7fy3+8R/xnW+\nzfoP3nhuVKf2k+d8c6bcCAAUJbl6+JhX35m/auPOi6W6C/v/CFE8gz4Ybfs3IfwrG/MAoGDT\nm7aJivibpmaoXSzpnrFi7af5duO+fn3XkN72Jm3MExc4+91L4tEwDaJBTSnaqzufgqXjtJdt\n/xZ4zYv/lQFAzscrbRPVaU/c4XSUD1woGiLovHuXOtD2d/SLW9OzcO0FdVIkd379+/3T7G94\n35Tv+L5dZ4Svu4zTIlo3c1wPjUHbjz0hj63dX1qOnHmx4MjiOc8N791B6nSGyerS4W2vPTq8\n8z2OQ/J64Mc+EqJI3FGlPiYRPXxgqt6ystzooTwA3N48KUrk7xozhKxDBnE/oiifX9EeYJ+s\n56ZE4RfuzDI8fDljx4+yf1Z8xJWXEq6f0NY2kWbUi3cX2i1mLhYvFcQzdkQw9VDXfhMkdvmE\nELJIdK+M85MNdTo4q6cfnee93NoxsWZm1X6D0pJovS8//QI8Y0cIeSytNn9qPvQ3QsiDojOI\nfT8/7rxI4GfsQtEQPvHmjN0Su0tI9EmnQVmtll+bIq7H+2eWQ7cXuDMmM0ktclBr9lD4v9fs\nLnoO/SO3zpXSl64Qz+o4+becupw+V3llfe0vxSaOdBnVoTm9xMWeP+96JF5TZe6GFYuffmhU\nx4xocGXGsXIvNxrxax8JUSTuPNXc7qJBx8mbPBQ2Vm4Uv3mCYROtnT9EHTLA/ch5gGKX3AUQ\nSJ90UD9NicILEzsAj4ndhZX3i0vSjPrElV26k2gQgZisNx0W1OTZPWQezMSOkO2PtK8NSRJX\noK8Q3++1vMTF/dqe3Zlol7x6qd2D2201/HlblnjWOxccb9oQuKq7brn5xiseeLN2wKTAE7sT\nC2oHRmaVHbU1e20vfqAoyc5qF28mCEJiF4KG8Ik3iZ3D48yj1l10roe3lLZR1HZmiSJb/MCH\n560Rur3AnUXt48VL3fbTOQ+F/xzVSlz4oSt3s3lYKcFSESs6o9biFk/phQOnhyfo1a7GTH6q\nRe13KkXLLjo9X+ks79juxe/MuDrFbj91HpTOAz/2kRBF4s6pb+2GsqMZ9Q+n3b584qfxdo/6\nNuvxmXV6iDpkgPtRgIldIH3Sg9A1JQovTOwA3Cd2eTsWp9rfmpAx9PItvQ6PzcdkzXZYdvlY\nu4fPg5vYafM/Fxe447v7bP9WpTzo69bQFtg98eo9WXRv2zMSBX/bPSWaPvgjh0+5sHqsuMDQ\nX8+JArD7lu040fG5jTo3iKnmH/EjvY8vGmj7d2z26y7X2vvEzjme2pJBbQhfeZPYVZ9/Q1xA\nkTgs13mYhhd7i8uk9l0qnutha4R0L3Dn9Pd2rxRjVZ1Wn3F963fliZ/E+y9Fs4evnN7z3MSz\ns2vH/ZHHDnIejr8yZ9G9Im/9e/nNIs7DnaQPedfh5PX5VZPFBWKzX7oyR+jXs0e3K/rfush5\njaovvC1etss0H76DfdlHQhuJO7y5uJva7i4OaVTXZf8WOhdcM9du7CQAePDvQhLKDhngfhRg\nYkf875PhaUoUXpjYAQDEtnxb/JTAzu1//bps8aR7BrP276WhGMWKwis3lQsW8WN3FMU8u3Sn\ndVfjzeU/zB5L2y8b3MSOEDJadIGYltb+mLvuo2O+bo2dE+1u+HV4KsIe3zvabsz0N668z5G3\nlF+lsjsoD562oPDKSJgn//qqlWg4eFoSfVT0WJm24DO7bdXnBz82yJuiEznie5hu/Nn1GR2P\niV0d8Yj50RC64u9iRZo1H+aupGdeDlD8aKbdNZeErvesP3x5tAWLNm/RCyMd3r/00Rm70ySe\ntkYo9wJ3LPoTLRxeLcDGj506c/Xm3RcKiqtrakqLLu3dtm7Os+OSWLtfZWkDax9l8NzEeZsm\niOe2HzMnX/QtXnLktwFJtUOrMGzSPs3lfNHlAMVd7p6x62SxQEjJuSPLP5wSa3+D3QNb8m01\n3y96KTNFy978db+4PXlT2ZKpdrdMjPvb9agZ7ni/jwQSyfjWqeLuPdeX54cu/GY3yB8AUBTb\nf+SDH3+5dO0fmzasXfnZOy8P65riUCau3aTLzRPKDhnIfhR4Yud3nwx1p0INECZ2Puj38lZx\nJS9mOb62T53UvHPHdvGunj9q1mO1eNnAE7vD717j/CkUxWyt8uGF6IQQQri+9rnaJ/meDsSb\n77O7ApI9dqNt1omFoxziodnYNh27tG3h+OKaHs/YXUowVKyzWwtaduM9E5549IG/r1we8maD\nXFh9m/MGoRm1u7thPNRZZzxifjREPb95ovzQJ86vPEps3rpT+9bOr0hqM3axw+Ket0bo9gIP\nTn51t3PlnjGy9C2igXnraGLB9HB7u8G62ajmw+8YPeG+sUP6dHBIDkbMq311sodXitFS1nli\nwlVPiccFOvrhAIcCUWlt+l4/ePjwof2v7ZZon85Ko65xeCFpnbzfRwKJZJT9fR2zcx3fTuvZ\n0sdd7FAesMr2q0Vjj4euQwayHwWe2PndJ0PdqVADhImdt7rf/6HD4EMFW6d4KB/bbqRatLcr\nEm4Vf+kGntgZqzYzTi+6jmn5oq+bovL0a+Ia5HFDPJevOvOquLxUdZV4s8z/X5c6t2Ryn8kV\njqPccQ6XYKyWlui83yCc8UKs04uuk7p/6m5FPNZZRzxifjREPSd2hJBDix53HsTLWWpfx5eX\n17k1QrcXeLbmtVvrXB0biTxz8R6H4VjraGJD+ZZe8XU/Sd1/kt1waw6JXXTmK9fa/2oSk8dd\ns9l+hBGB1z7Y1fVrcB1QjOKNLT6fWfF+HwkkkgATO0KEFS/e7M1HA4A8scf3x+yeEghph/R7\nPwpCYudvnwx1p0INECZ2daMlcRPe+NHlr5iVL9xKOX2pA0DX25+5aOTEN9ICwHXP1j5qEHhi\nRwh5tbVdMQAYuuyMr5tivf3d5R0n7apjAcHkcMn1+RN2L5xe8dp98azrYXQoihr40NvFTi/D\nIYTkLLnXubxPiR0h5Ks+jtdoxmzOc1fYc52e43Hga0PUf2JHCLm46ZPrsty+X5WWRN/11GfO\nN+5Yed4aIdoL6pSz/vP+rePAI4qS9Br51J4iF0+x1NnEhrJ/x/XPclezNLrtS0t2ONTpkNgl\ntF9WduCLjlEuMsiELrf9me+iO/HmwtfvH8S62p428vguc1ef9XVzWXm/j/gdScCJHSGEHFu/\naFjHeHefCwA0EzV8wmtnXA0UHNIO6d9+FJTEjvjVJ0noOxVqaDCxc4GiGbkyunnrDoNvHf3a\nh1/llDu+QVzs5KZv77/9hoykOJaRJaVlDRn9+NcbLt9c9f41yeJq47I/sy0VlMTu3C92v2sp\nRnHUzXjo7gi8tp3S7jDnzYC6G+5sKV4k6/Z1DgUMxYc+nj391v7dMlOT5BJGFZPQukufCU++\nsvFIsYdqD//68ciBPZNiVAxFydSxna65wadLsYSQon/thpJmpMnOb1S0qbNOD/E48LUhwpLY\nEUIEXv/n9/MnjhvRMbtFQrSSkSqbpbXoMfC252Z/sr/Adc5q43lrhGIv8A5/ZMvPr0x77KYB\nvTLTk2NUcpqRRsclZbbuNHzkvS/NWfBfrqf+7E0TH1z39VMTRnbKbhEXJWdkyqS0VjeMGPvW\nwl/yDS4eZXVO7AghhpI9bz19b6fs5lFyNiYpo8eAO95evFLvJoe2Ks/ZNX/WMyNvvL5dZmps\nlEpCMwp1TGpWh2G33zNn0a8uP9pLPu0j/kUSlMSOEEIE096NP706ZXzvHl1apDWTsxJ1bGKL\n1u2GjLxv5odLjha7eNzYJqQd0o/9KFiJnZVPfdImdJ0KNTQU8XLgRdTw8MbzcepsDS9Y/0zs\nMq/08NTwhtQ0YUMgK8FSxEhTbX8mtF9WdmKsh/IIIRR0+OaJRoyRpYuHEb/+/bvCGExThg2B\nEEKogcDErhEr2vV8uYW3/pthE+YNTAtvPE0WNgRCCKEGAhO7xkYw5lfqTdWF236cM2DYp7bJ\nKX3npUuxNesRNgRCCKGGx+e3EaPwshhOZMT3cJ7+8Oe31H8wTRk2BEIIoQYITy1EgpQ+s15v\nX8e4D6geYEMghBAKLzxj17hRFHvd6KeWffNCuANp6rAhEABQtGry5NpXwaqS23gojBBCoYDD\nnTQyhKtYvOCbCo1JHZeUnNaix3X9WifVPRY5CjpsCIQQQg0QJnYIIYQQQhEC77FDCCGEEIoQ\nmNghhBBCCEUITOwQQgghhCIEJnYIIYQQQhECEzuEEEIIoQiBiR1CCCGEUITAxA4hhBBCKEJg\nYocQQgghFCEwsUMIIYQQihCY2MGFnT+//OT9vTu3TUmMYVl5fFJqjwE3TZ35+bFSYyDVGsp/\npSiKoqgt1aZghRosZs1ua2y/lhvCHUtoNZ01jXhn1344uHtrpUyiikv1prxgKVu9ZM49tw3K\nzkiJUkilCnVyZtvrR4x758s1FVwIX7fzSGoURVEDvjkduo9oLOJZxrr3NevxueeSAleWKpNY\nCyd1Wmmbrs1/3zrxgokPcbAIRQ5JuAMIJ85wdtroUZ+sPSieWFlWVPn3hgN/b/j0rdnPfr7m\n7Qd6hCs8hJCVrnDpVXc8q+cFAKC54jrLlx/89rZbJu4q0ImmWUounS65dHrb2h9mv973i9/X\njO4cF7J4kZ3yIzMumB7NkjHuCpTuf67IjKkbQsHRdM/YcYac2zp2t2Z1La4b8dq8JSvXbdyy\nccPyr+ZPve+mOAnNmwrefeiaKT9fCHekyCvL+3VITU3t99SecAfSRIV0++d8MlfPC1J1t+1n\ny3i+jgzAWLahx3UP7SrQMWzCuGlvrd6068SpsyePHd68dsUrE0dFS2jtpZ3jrrnmz/KATsk3\nBI2lzwtczdNbCjwU2PLcHy6nU0xsdnZ2dna2hApNZPYay/ZEyLMme8aOn3XjoPUXNBStmPbF\nhvcmDBDNGj5mwqRZb2y+vfeILSX6z8cPmXhLTntFk91QjYahtKSoqCKm2hLuQJqokG7/qkNV\nABCb/Wr/Vgl1Fl4x6qFcI8dIU5cfOjGqfYxtetuOXW645e6nJy7v0vPefMOZCbcvKtgxJRTR\n1ptG0efje8RX/Fex4/mVcOOTLgsQruKZf4sBoFeUdJ/GLJ6lSnno9OmH6iNKAGgk2xOhOjXR\nM3Z5fzwwc3shAIz+cp99VndZVMtBv/49BwA4w9mHFp6s7/gQQiJEIADAyOVeFOWe3VUMAK3v\nWSbO6mziOo1d/cJVAFC069kzRi7IgSIn2Q+9AAAVx148Y3R9qrX04HMFJl4Rf8sDyar6DQ2h\nyNQ0Ezsy44FfASA6a8qy+zu6KxTbdsodiQoAOPL+N/UXWl2qzleEOwQUGsRcUaMP4V39AdNp\ndJwQ7iDqwhlySi08ACT2TXZXJnvCLXK5XCZj9moa+rmZsGzz4B5kFAkjJySrBF47bVO+ywJb\nn9sAANkTXvPvcmuj6JYI1SvS9GgLFljXfeS6i55Llv6zZcOGDX/8udVuqmDasGT2XYN7pSXF\nsqw8Ka3FoJETPlt9wGFZfdkv1k/ZXGV0rNe7GoxVmwGAkaYSQkzVB6aPHcRhsi0AACAASURB\nVJASK4/L/sxzzMfWf/XQyKHZaYkKqUQZFduh18Cn31pSbObFZUw1u6yx/VKmN2tyZk4Z1ykr\nTS2TqGObXTtk9IJ1J1zU60XMC7smAUBU+tMOi96VqLR+3HfFOvH0459dBwAUJTmgNXsfvLMN\n16c79GpZdF//15SQC3//8MQ9N7XKSFZI5alZ7QbePP7LdfvqCEKEM+R9886zN/XrmpIYyzKs\nOiax09UDn3xt/jmtRVzMGhtFK4hgWjZrfGasDABoVpnW8qqHX1xQwwmEEH3RnukP3tE6LUku\nYWMSWwwdO3VbntbFR3rXo2pyZ1u3hlFwrEBXstQ6678rbVEbHiFnfv+gT8c0AKAoWh2b3Hvo\n2MUbTtmW9bD9PfEu5n0zuvp01OItZTKaAoDEri9bnFazTt43vbn65NznHr66XYtoBRudkNpz\n6OiPfv6PEPJwihoA+n99yo+ag7jNveyE7g4ypQcmWj96i/Phi5Dlg9IBICr9Cc8bM05CA8DA\n5WcOvd0LABI6ve9cRuCqmsskALCwUPtZdhwAJHb8zTZXV7TEunbnjZyvm4j40uHr3J7edwz/\nDmIIBVFTTOxOftnPuuvuqjH5uqxFd/z+Xs2cv2kAoOOoN6q42uOHu8TO+xpsx1yL7sjwdLW1\nTEL7BR7CW/xEX5c1R7e6/YyBsxWzpTvfHvq1W5yLy1v3LzruR8znfx0GABQtFX+WWfMfRV3+\nKT7gG7vD7icdEgAgKmOaT8E72z6uX3Z2drKUAQBpdEZ2dnbHbqP9W1MiWL6YMsgWsFjWkMmX\nTJ7CsNLkru2XonS5IoqkPv9U13Y521fUsomXn7wWf27G4Nllh75uqZA4TJequ9ryYJ9ah/ib\n2OWufYZx2iAURd2/6Fid298d72M+MvfW7OzsdCULABJ5mvVWes+Vz+x0+T68VkMeXLH5kMnL\n9M6Xpi/775t2aqlzyf5PLnsoRQUOiZ3XNQdrm3vfCd0dZASuppVCAgB9Fzr++OFNhdbPHeSU\nvDqwJXaG8lUAQDGKE3qLQ5mS/Y8BgCL+ZkKIT4ldnZuI+NLhPW1PXzqG3wcxhIKoKSZ2f92a\nBQASRWuflxQs03slAQBFS0c+9e7mfUdzL53fv23V9NFXW/feTo/8ZCvrOrHzpYYrx9yUtwen\nR2fftGTNrhL7b3QH+X89Yq3khsdmbdy1/2xu7vED/85/eTxLUwDQceIOW0lbupOqYlWpAxas\n2Vmpt5iqS/5e8VGvWBkASOQta2xfrl7HbKreaT383b+v2PZZhbvG2I5uSd2W1G4JXpcqZQCg\n19uHfArenS/bxgNAuwl2JX1bU0J2zBxoLd//vhm//L415/zZXZvWvD31TmsYqQNeqzOMcRlq\nAGBV7Wcu/Plgzrn8grycQ7uXvDUpRkIDQOvRfzrHBgAtBz2yaV+OzmK8eGL7o/1SLn8ZSGhF\nUq/P1u4s1pgr8k7Pm3w5tp6zD9Z+ni89yp/EjmIy5RJV6oDPV+2o0FlM1cW7fpnXM0YGABJZ\nRpml9jyEy+3vmi8xW228MRMAUnv/XnflhGjzV3VUs7ZtK4vLHHrnhDnzv/33eJ6HpbxverNm\nXycVCwAMm/jw6/O37z10+vihVV+9d12aCgAUDAX2iZ33NQdrm3vfCT0cZFbd0gIAojOfcaj8\n0p+jAIBm1Md0jlmaA1tiRwix5rs3rzzvUObnIRkA0GXaHuJTYufdJvKpw7vbnt43X+AHMYSC\noikmdis6JACAIv4mXxcs3PG4db+9/9ujDrN+mtrNerhZWWawTnGZ2PlUg/WYCwCy6GtPOf3S\ndfZrr2QAiMl6zWH6j0MyAECVfL9tii2lYBVt/qm0O6FYuv9Z66ylJTo/YrYevlvf/ZetzF93\ntQKANo/1BwCJvJXt9EnNxTet1S4p1PoUvDueEztv1tRU/beSoQFg2Bz7i++E5Cx71Fr46b0l\nHmIwVKy3Fnt4R6HDrB2TOwJAVEbtdWpbbEndZ5hFXzxmzR4FTQEAI0vfXiGOmbs/WQUASV1+\ntk3yqXX8SOwAgFV22FNld267ZO/lTfdpQe11Ye8TO59itvIpsSOEGEr2v/jgLSlKx4fZ1alt\nR/xv4uKftzucxvOp6Tfc1wYAaEb1+R67zmDWHOofK7ucBFxJ7HyqOSjb3KdO6OEgU350mrUt\n/q62i+T9zgkAkHzNQlIXcWJ35L1rACC+w7viAgJX3UIuAYAFhVriS2Ln5SYKPLHzqfkCP4gh\nFBRNMbFb1j4BABQJt/q64NfdmwFAVHMXd5bw5qJMuQQAur283zrFZWLnUw22Y671nFbd4XVI\nAAB1+iSHW4tMVQUXLly4mFtUO+XKwbHri3sdKrHojltnzb9ycPQp5r3PXwUAioQRtjJ3JykB\n4L1zJ6xnMj7O11inH3yrJwDIYvr7Grw7nhM7b9b0wMweACCPv9HlxbvHU9UAkH79Kg8xWPQ5\ny5cvX758eYXT7V3HPu4NAOqUh51jm3S0zKHwTfEKAGg5coPD9L9uywKA+LZf2qb41Dr+JXY9\nZjre98abLt8FPzu3xjbR+8TOp5itfE3srASu5r9t6z5449nbbugVK7UbHTe27fCVp6ttJX1o\nesGUJZcAQNv7/3AueXHdKGv9tsTOp04VlG3uUyf0dJDh9R2ULAD0X5Jjm2bW/me9hfGRf+ve\nJcWJnaF8LQBQtPyo6Dxf6YEnQPQb26fEzptNFHhi51PzBX4QQygomuJTsfFpCgDg9D4PYjL/\nTBUAtH3sMedZNJs8q10cAFz8cZfz3ABrGDKmhTfh9XnuWgDQ5n/aqt+oD778+cCpAuuzYtKY\n1BYtWmQ2d/GQ4M2PtHWYQjGKQGJuN+leADCUr9labQIAi+7gz2UGiSxjclb7p9KjAOCHX3Kt\nJdctOQsAGcNf8zt4n3izphu+PgcA6UNmSF09njduWBoAVOWs8vApEkW7MWPGjBkzJu7KgKqE\nMxScP/Hnz4uemHXI3VK9kxwjUVmv8tzk2O4Sp1NQgffJOt0yvpXDFIoJaFiKeojZimKiug+4\n+elX567avLdCV/Hf1jVvz3j0qhQlAFSd+uPurr33XBk1zfum15euuGDkAGDsG72dS2YM+VhK\n21XhX6cKZJv71wldHGRoxQc3ZgDAoVlf2aad//Fpk0BYZYcP3dwi6Y48/pbHUtVEMD7ze65t\n4t/PrwWA1ve/7lNVVkHvli751HyhPogh5KWmmNil3ZwGABbD6V01Zs8lDWUrnnzyySeffHJJ\nvhaAP6yzAEDyYNf7Z/Y1CQBg1hxwX5+fNXRSsq6KO2ozYfVXM+6OkdCXdv3yzEN392iXropv\nPuDmMa++/+XRYtdvSu2qqrNm32KOynjaevvR3J3FAFBx5G1CSEyrGTIKRo1vBQCnPv0TAAhX\nMTe3BgBueqWb38H7xIs1hW1VRgA4u+J6ypX+35wCAIvuaJ31nN7204tPPjh8YO/s5skyqSq9\nVcfhdz+2vdTtWtBuhnlgpG5fwXRF4H2ybm2DPDp3fcTsjJJEdx946/NzFh7MK1z09AAAsOhP\njJ/6j3Wu901v0V4O7LYEx3QcAGhp6oAYmXiKf50q8G3uayd0eZDpPeceANDkvmc7VH7y6n8A\n0HLUfJW7Xuvek9M7AcCel5Zb/yS89tnthQAwaXonX6uC4HdL13xqvlAfxBDyUlN8oULmXTfD\ns3sA4N2thStv83Qy7PyPH86f/w8ALHrp7TqrpSU0AIBg8jswdzUoGS+PocyEOSvumX565Ypf\n/9yybdeuf3Ly8v5ev+Lv9SvenPHMw3NXL3yqv8MCbMCJvWPMlGT2dckjN+UdeOsfuDnz2Pt7\nAaDNxBsAIPuh22H2werzb+uEqZYL71ZxAiNNntk+3u/gfeLNmlZYBABQNGuRHu02C5TIYz3U\nQPjq1+7sN2v1UQBgVcnde3bvPbRly1atO17VI73g5YFP7PY57sD40CeJ2xH0fP8GD0iA+9HO\niePevlQTlT7lhwVDXRagmOhHPtiyZWnUshJ93vpvAQaAL01P0S4ehhVrZt/V/OtUgWxz/zqh\ny4NMbJvXuqnfO6g1v/jrha0T2hrKf5ufrwGAKW9d40dg2RNep565uerMzEO66V1VbMXxF88Z\nOXn8jY+n+nOmLdBu6b7Di/nYfKE9iCHkpaaY2EW3eKF39Jx/akybJ73JjVjk4S2E38/LAQCJ\notX/mikBqM5K9j+tuXhLMfROcS58fm85ALBqF8NuXcEEXEPdZPFtxjz+/JjHnweAmsIzO7dv\nWvzeq7/tK1087fqeY2oe9fkY6nPMvd/oD5uWlR2cLcDohduKAODukZkAENX82WTp7GJz8Qd5\nmpsWrweA+E6z4uy3frCD900HJbtHY24z4edD7/Tyr4YDbw2dtfoozca//uUv0/43UHxW4/Q3\nodjXgtajeLPrwWNDILR7gfHSzrVrL6qS48BNYgcAAPQt8YplJXogl09Eed/0rPpygbXlhp5q\n5y97YY/9S7EC71S+CmYnpKTv3ZY55IczB2d+AxPePPHhTABQJo2ddGVgFJ/I4m58IlX1WYH2\n2TW5G8e23vn8KgDIvu91P6oKnJcd3o/mC+9BDCFompdigZJ+MasvAGjyFt/2kdv3PZcf/HDO\nmSoAyBj2kfXgODk7BgBOL/jCubDAlb16rBwAmt95vYdPDrwGdwivmT59+vTp05ecrbFNjE7N\nvmnM4z/vPJzIMoQI3/3pz5e3rzEn9XhTwVAW3ZFFZ3f9XGZgZOkTU9UAQDHql1rHAMDKb879\ntOwCAPR6Y1iog/fJPVcnAkD+um0u5+5YPP/999//cr2nMH5YlAMALe9c8cq91ztcqzKV+X8q\n1wP/epRRcDxdkb/W072DwRW6vQAA2jzWBQB0xd/NO1bprgwRdB/lawAgpt2t1ineN70i8Y5s\nhQQAlr3xr3PJqtPvnDHYvaYs8E7lq+B2wl6zxgNAzYV392hML36WAwBdX37Z79gmzegMAPte\n/p4Iume2FgDAxOc6+12b9/zu8N43XwM5iCEE0CTfPEEIEbiahzvFAwBFMQ98uMbs9MRT+ZHf\nro2RAQDNRG0ovzzyQsH2y8MUPfSD46Cdvz7dw1rbTyV66xSXT8X6VIPtgbVfyvTerJT1+6bV\nKMcxwCy6Y9bxq0ZsvjyOl/h9DA6FOeN56yzbs6I+xWw1s3UsALR6oBsAxHf4xDb9xII+AKBO\ne0xBUxTF7NPUPo/mffDuWJ9oazvhb/FEn9a04sRsAKAoatoKx5FXS/bMZykKAB7b7enRtsuj\nvYze6DDdVHVoeKIC3DwVaxtvxWZUohJcvb1g29hssH8q1qfW0eR/bC0863iFuKRFd/za6Mt3\nhjk/FescnsBVWWc5P6HpsP1d8qNHef9ULGfK66qWAoA87tpVJ6tcFeG/ndrTGsCrR8qtk3xq\n+o0T2gIAzagX7bd7nJk3F45vffnttLa286nmoGxznzph3QcZwdI7WgYAPWY+DAAULf3H63Hd\nxU/FXv64yj8piqJo9o/dEwFAHjdcXN6np2K92UQ+dXjianv61HyBH8QQCoommtgRQkzVe3on\nXr79ObHL4BlvL1j1+8Yd2zb9/MMXU8fdGC25fC7z3gXiwWDNT3dPBACKlo95bt6Ow6eKivKO\n7Pr9+XuutRbu9MgKW1k3AxT7UIOvid3qMa0BgKIkt0+ds+mfI3lFxedPHt3404Jb2scCgESR\nffLKOFU+pTs+xWxlfVeYVe+PaweC1xYusk1Xp032L3h3vmoXDwBJ3eYaBSJwJn/WlJD3bm4O\nABQtGzH5zT//PXKpsDDn8N5FsyYnsQwAJHab4vnFQFusX/ls/Otf/F5SbRB4w4Wcgz/MnZKl\nZCmaAgCpulueF19R3id2PrUOby6yjq2vSOy78Pf9lQaON2v2/fH18JZRtnbxO7Fzuf1d871H\n+TTcSf5fb1iH5KAZ5bD7psz/asUfm7bs2rVj04ZVC95/9ZYel6//tr9niXgp75verNnXXskC\nACNNfnz2wn8O51w4m7PppwU3d4wDgKx0x7bzvuagbHOfOqE3B5ltD7SzdY+EznO9aQIr58SO\nEDIlIwoAopurAKDz1H/Es4Ke2PnU4d1tT++bL/CDGEJB0XQTO0KIqfLA/X0zwQ2GTZr+xU6H\nRczaI+O6Jbos33nM7GovXinmfQ2+JnYW3dFbW0a7rFmiyJy3pXa0Ul/THe9jvrzupStsBd7L\n04ir73Tl6dSesw6KF/E+eHe2/S/bWp6ipcoYF++K9WZNeVPetOEtXYbRrOe9Rz2++YMQYtYe\nHNis9lVOzJULYYndxmw88NaV1Ym7/qX9JFiJnY+tc/Cjsba5FMXYXsrUZvTH1q9AvxM7l9vf\n/YbyrUf5Oo7d+fUfXZvu9mYmipLc+MQ8g32S7lPTl+77orXLx0gf/uLvCW0d2s77moOyzX3q\nhN4cZGouvmurbexfPpxzcpnYHf+0j622T/PFB4fgJ3bElw7vbnt633yBH8QQCoomndhZHfz9\nyykT7uzSOjM+Wsmw8oRmaT0H3jpt5uc5FW7OOvD6dYtmjryhR0pCtEQiS0zNvOGOCQvXHnQo\n5S6x874GXxM7QghvLvnqnelDruuaGKOW0IwyOq5Dr4FPvDzvSLldDL6mO97HbDM8Tg4AjCxN\nb//1+cOV++UXFDi+zN7L4N2x6I5MGdU3OU7JsPLMzmP9X1PC71wxb9yt/dOT46UMGx2fcs3g\nO97+Yp2Xrxy1aE+9Pe3ebtmpCimjik28asBts5ZssC67eNKtSTFyqTJuxHtHSPASO0J8a51j\naz67e9DVSdFKmqKs33ZDn3i/ihNSA0vsXG5/T3yJ2Y8BigVL+c+L35swclDbls3j1HJGqohL\nTOned+gj09/ecsTd60N8aHpT5fF3nn2wV9vMaCWrjEns3Pe2d7//hxCyY0I7V23nVc3B2ube\nd0LvDjL8QOv792SZ4hea1cllYmes2mztePK4YQ7lQ5HYEa87PPHUh73tGAEexBAKCop499Q3\nQijC8MaqM6fOq1t0So+pYwgP1MQ9mR41v0Cbdfua8ytvDXcs/sMOj5oITOwQQgi5pS/5XpV8\nHwDMPlP10pWnQxBCDVaTHO4EIYSQd7ZPnwkA8rjhL2BWh1Bj0BQHKEYIIeRZ+f6/jhrlpUfW\nPrD0LAD0mf0hngZAqFHAS7EIIYQc7X6iY58FJ6z/VqUMv5D7e2LgryBECIUe7qgIIYQcxXbo\nmqCWqRMzhk14cUfOaszqEGos8IwdQgghhFCEwB9hCCGEEEIRAhM7hBBCCKEIgYkdQgghhFCE\nwMQOIYQQQihCYGKHEEIIIRQhMLFDCCGEEIoQmNghhBBCCEUITOwQQgghhCIEJnb+4DhOq9Vq\ntdpwBxI0FovFYDCEO4qgMRqNWq3WaDSGO5CgMRgMFosl3FEEjXX3iZg1IoRotVpBEMIdSHDY\njm8RM3w9x3F6vT7cUSBUTzCx8wfP80ajMZLyBp7nzWZzuKMIGovFYjQaI2mNzGYzx3HhjiJo\nrLsPz/PhDiRojEZjxKRBgiDg8Q2hxgsTO4QQQgihCIGJHUIIIYRQhMDEDiGEEEIoQmBihxBC\nCCEUITCxQwghhBCKEJjYIYQQQghFCEzsEEIIIYQiBCZ2CCGEEEIRAhM7hBBCCKEIgYkdQggh\nhFCEwMQOIYQQQihCYGKHEEIIIRQhJGH51OLdLz0y54h4yoNfrbgjQQ4AAMLW5Z+t2f7fJQ3T\nvvM1E558oJVS4nG651kIIYQQQk1FeBKgqoNVioQRUx/pZJvSIoq1/uPcLy9/+OPFeydNfjCO\nW7fw05eeNi9dOIl2P93DIgghhBBCTUp4EruS4zWxHfv06dPJcQYxf/Djidb3vHf3kNYAkP0u\ndff4d5fmT7gvjXU9PV3ldpF0Vb2vFkIIIYRQOIUnsTtYY4rrHssbako1QnKzWOrKdFP19lwj\n/8TQdOufsth+3dXz9m8tGn3LeZfT7xvX2t0i941r7fy5hBCe5wOP31YJx3GB19YQCIJACImY\n1SGEWP8fSWskCELErI5VxKyRtb/xPG/9R2MnPr5RFOW5cKNgbZr672wMw0TGBkSNS3gSuwNa\nC9nx8ehPciyESFRJw/839bERVwGAWXcYADoqWVvJDkrJhsPV5utdT4dxbheBcS4+VxCEqqqq\nIK5IcGsLuwhbHYvFEklrxHGcwWAIdxTBpNfr9Xp9uKMImpqamnCHEGTV1dXhDiGY6v9oEBUV\nJZPJ6vlDEQpDYseb87UMm5XY552lM2OJ5t/fv5y7+GVZm28ntI8VTDoASJDU3iCXyDKc1uhu\nOgB4mIUQQggh1KSEIbFjpOkrVqy48pes/5jnTm3Yv3nJ0Qnv9aOlCgCo5AQ1w1hnl1t4Jlbq\nbjoAeJjljKbp2NjYwFfBbDZbzzQEpbaGwGw2m81mtVod7kCCQ6/Xm81mlmVVqgi51VKr1bIs\nGzG//q3nTpRKpVTqeldtXAgh1dXV0dHRNB0JT21ZLBadTgcAMTExkXEl0Ww2m0ymqKioev5c\n5sq3EkL1qUEMC9I9WbGpohQAWFUXgO0nDVxz2eX94bSBi+kX6266h0VcfhBFURJJEFbZdg9K\nUGprCKw300TM6li/jSJsjWiajpjVsYqYNbLeWscwTGR8kQuCYP2HRCKJjMSO5/lIOhog5FkY\nfl9Wnfr0oYcnFZmFKxOEbQX62I5tAUAee0OalPljR4l1hkV3cI/G3GNIirvpHhap33VCCCGE\nEAq/MCR20a3GJOiLn3994d6jJ08fO7h83nPbdVGPPtwWAICSPjuq/ZmvX9+0/2ThuaNfvvq+\nMnXw+Ay12+keFkEIIYQQamKosDyfb6o89tWCpTsPnTYyUa3adL7jwUevy7ySihF+47fzfty4\np9xIte468PFpj2SrJJ6me54VovhNJo1GAwCJiYkh/aB6YzQaTSZTTExMuAMJDo1GYzKZpFJp\ndHR0uGMJjurqaqlUqlAowh2Ij4hg1hVxphqKkrCKOIkiwTq5rKwMANRqtVwuD2t8wUEIKS8v\nj4uLi4xLsWaz2fqEb0JCQmRcijWZTAaDIWJuiUbIs/Akdo0dJnYNHCZ2YUd4c03+v5rCvRZD\nBeEtQNE0I5VFp8dkDlAmtMfEriHDxA6hRg1vJkUIBRlvqik5vsJQfpIIHCNT06wKAATepCs9\nbqy+FJPRh8T0pKhIeIAUIYQaGkzsEELBRHhzyfEVutJjElkMI60dboZmFRJ5jEVfVpW7jU0y\nK1L7hjFIhBCKVPijGSEUTDUFewzlJyWyaHFWdwXFKpNA4Iyle3ljaRiCQwihSIeJHUIoaAgR\nNAV7CeEZqdsn01lFIjHVmMuP1mdgCCHURGBihxAKGouu2GIot95U5xbNAEVZNOfrKyiEEGpC\nMLFDCAUNZ6ohAkczbB3laFawaInA10tQCCHUhGBihxAKGoqWAFBQ9yBKBICmIuLNqggh1KDg\ngRUhFDSsIp5mpDxnqqMcb5EokgAiYYw0hBBqUDCxQwgFjUQeJ4/JJBa9h5N2AmcEmmGjW9Vn\nYAgh1ERgYocQCqbo5v1oWZTZUOYytyNEsOjLGXmSNOGq+o8NIYQiHiZ2CKFgUia0i8noS1G0\nWV8CxO7xCMIbzZpCVpGgyhxOMbJwRYgQQhEM3zyBEAqy+NbDaYmsKvdvs7aYAEUxEooAIRag\nGHlMRmK7kVo+Qt5KjBBCDQ0mdgihYKOo2KwblEkdtYX/GSrPcqYqoBiZqpkioV1Uai9aIteW\nlYU7RIQQikyY2CGEQkKqSo7PvgkAgAhA4V0fCCFUH/BoixAKMczqEEKovuABFyGEEEIoQmBi\nhxBCCCEUITCxQwghhBCKEJjYIYQQQghFCEzsEEIIIYQiBCZ2CCGEEEIRAhM7hBBCCKEIgYkd\nQgghhFCEwMQOIYQQQihCYGKHEEIIIRQhMLFDCCGEEIoQmNghhBBCCEUITOwQQgghhCIEJnYI\nIYQQQhECEzuEEEIIoQiBiR1CCCGEUITAxA4hhBBCKEJgYocQQgghFCEwsUMIIYQQihCY2CGE\nEEIIRQhM7BBCCCGEIgQmdgghhBBCEQITO4QQQgihCIGJHUIIIYRQhMDEDiGEEEIoQmBihxBC\nCCEUITCxQwghhBCKEJjYIYQQQghFCEm4A0Co0eAtOn3lGZOuSOBNjEQuU6cpYrMZiTzccSHk\nF84I2HsRijiY2CHkBUKqCnZXFezijJWCYAYAQgjDyCWKhITm10c16wYU5bSEoK04oas8ZdaX\nCIKFlcYoYrKiEruwsthwrABCAABABPPF/ZbcfVzRacKZQCKVJLaWZvWUtrwWKLyAg1AkwMQO\noToQIpSdXVNdtE/gTaw8nmVkAECAEM5o1hYUn1lpNpQlZA0VL2I2lBadWWXU5PKcgaIZANoo\n5GrKj1UW7E7IGBCbei2AYyKIUKgRQ7Vu11eWS4cEk5Zi5RRNE6Ngrsqz5O4zn/5b2fdBWp0Y\n7hgRQoHCxA6hOlTl76ou3EvRlEyVaptIAUVJFDKVwmIsrcrfKVU2i2rW1TrLpC8uOPGDSVco\nkUWz8njbIoJgMRsqSs6v5zl9QvNB9b0aqGkTTFrdlk8s+UcoebQkMUv804Loq00X9wkmTdTQ\nZylFTPhiRAgFAZ57R8gT3qypLtgtCJxEFu9iNgUSRSJn0VXlbRN4MwAQgSs+u9qkK2SVSQyr\nFpelaVauSiaEq8jfqas8VT/xI2RlPLjKUnCUViXSyjiHE8aUMoaOSuaKT+v3/Riu8BBCwYKJ\nHUKe6CpOWYyVrNztjXEUUKw8xqQvNVSdAwBN+TGjJlcij6Fp1mV5qSKRt2gqC3aGKmKEnAja\nUvPZncBIKZnKZQFaqgBWbr64n6/IrefYEELBhYkdQp6Y9EWCYKFpqd1UAiDwhDMDEABgGKVg\nMZj1RQCgqzwtcEZGonRfJUWzKoMmz2woDWnkCNlYCo4LhmpaGeeh7uEx3gAAIABJREFUDKOK\nJ8YaS8HReosKIRQKeI8dQp4InJGiKNtDr4TnBG2ZYKwC3gJAgKIpVkWr4oCiBM4IACZ9EUVL\nPD8bwTAyzqIzG8qliqT6WAfU5AmaEsJbKInMUyFaAoIgaErx5z5CjRomdgh5wkgUhAhACFCU\nYKzhK/MIbwQCFMUARYHAEUsFb6qhGMY6WoTAm0jdw0bQQAQiWOohfoQAAAQeSN2lCBAi8KGP\nBiEUQvjbDCFPpKoUmpYKglkwafiKXOAMNCOjWQUlkVIMS0lkIFUSQiizwVRwhAgWVhZL+Doy\nNkI4ipI4PFqBUOhQyjiKponAeSpEBADK8+VahFDDh4kdQp6o4tqyiniLoZyvyie8mWIVrsZx\nJRQrt9TkaXJ3KaKzKAo8f4PyZp1EqlJEpYcubITE2OS2lDyK6Ks9lBGMNbRMJUluW29RIYRC\nARM7hDxhpOrYtD40ZyFmLc1IHW6eIwCENwPNsMoUQnjNpZ3quA4SWazFWOGuQoE3EsJHJXWj\nHB7IQChkmIQsNq2TYNK4PZ0scERXxSa3ZVM71G9oCKEgw8QOoTrEpl0nk8aDQATBQkjtHUiE\n8IQ3AkVJFQkSWbREFsMbq8Cij0u9DmjGZW4ncCazoUIRlRmf1rce1wA1eRSl6DGKicvgK/OA\nMzvMJLyZr8yjY1LkPe/GF4sh1Ng1rYcnCCEmkynwejju8oU2o9EYeG0NgcViEQQhYlaH53kA\nCOIaMZJoRqoWQCACJxALAAAFFNAUI5fI4xlptCAIhJYIphp9dbEq9VqTsVpTekBfk8dKoyhG\nRtE04S28RUcIJ1VlxLW41cIzFt6H2ARB4DguYhrIymKJkMdHCCEAYDKZaLoBZ0WKRPbaCeSf\nbyyVlyhGQsnUQDNAeGLSAWehYtPYq8dxUemc0Wg7vgXlaNkQcBxHCKn/3YdlWYZh6vlDEcLE\nzh+CIFj/ETEHPkEQBEGIpNUBAJ7ng7VGHM8BLWWVSYJFTwQTIQJFMRQjoyVKAMqaRwIRBCLw\nnMVksqiaXU+xybrSvRZTGeGqAICiGFqiUsV1UiVeTWi1r4FZEztbx4sMEbZGZrOZohr2K4Bj\nWlD9J9Ont5K8A4KpBgQeaAZksXSrrky7wZwqkTOZAI9vwcMwDCZ2qP5R1t+ayCcmk0mj0QBA\nYmKEvDPbaDSaTKaYmAh5TaRGozGZTFKpNDo6OigVlh35QXNppyy6uYcygkUncKak7g8pEttd\nmUaM2kKLsVwQLBJplFydwUgU/gVQXV0tlUoVCj8Xb2jKysoAQK1Wy+XycMcSBISQ8vLyuLi4\nRvMtzpm5qnxi1FAyNRObRrF2rWA2m2tqagAgISGhoaeq3jGZTAaDITbW7ftjEIokTeuMHUL+\nkce31hXs5S0GhnWbWnGmGlaZJIvNEk2j5Oo0uTot9AEi5AuJVJLYMtxBIIRCogHfEYJQg6Fs\ndpVUncoZysHNMK+CRUdRtDqjN+15cH+EEEIolDCxQ6huNKuIbTdCoogzawocx6gjRDBrOEOV\nPL5ddIv+YQoQIYQQAsBLsQh5SZHYIaHDXRUnV1u0xRQtoVg5RdHAc7xFT0lkqpSu8Z1GUwye\nrkMIIRROmNgh5C1lSjdpdIYmd4e+5Lhg0YLAU4xUEZOpSu+lSu1J0eHamwjHGQTeyDAKvx/O\nQI2FUHyOz9kl5J8CXSXIVHRKKzr7aqZlN4iIpxwQQoHDxA4hH0iUiXHt74htewtvrCa8iWLV\nEnnYHiXmOWNl+cHqyuMmYzkQgaIYuTI5Jq5jbMJVNM2GKyoUKpzZsvV77tAmoikDiqJolhCO\nP7efOvgnk301O+xRSo2veUUIYWKHkO8ompUowzzSjVFflHdhjV6XTwSekcgoWiIIJk3VSW3N\n+aqKIxlZt0ll8eGNEAWTwJvXfcId2UzRErpZFtAMWF9vRwjRlPFHNhNNmfTulyllhIxYhBDy\nGz48gVDjYzZV5J77Wae5KJVGKVQpUlkcy0ZJpbFyZSotUWiqz+ae/YWzaMMdJgoabt867th2\nkCqp+DRrVncZRVHRSRCTzJ8/bPnrq/AFiBBqKDCxQ6jRIYWX/jToi2TyRJpxHOCXlShl8ji9\n7lJxwbawBIeCjpj0ln1rwWKio12fJ6bkKkqu5k/uFgrP1HNsCKGGBhM7hBoZnfaStua8RKKi\nGdc30tG0jKLZ6opjJmN5PceGQkG4eBSqS6noJA9lqOgEoqvmz+6vt6gQQg0TJnYINTI6zUXO\nopewag9lWDaK4/Q67cV6iwqFjlBZQMx6Su7xkWeaAcKTioL6Cgoh1EBhYodQI2MxVwMFFOVp\n56VplggWi6mq3qJCoUNxZiAEPLa4tSAxG+ojIIRQA4aJHUKNkes3m4lRFF13IdQoqGKBYYGz\neCpDgADQUQn1FRNCqIHCxA6hRoZloyigCBE8lCECBxQtlUbXW1QodOi0dpRCTfTVHsoQk45i\n5XR6u3qLCiHUMGFih1Ajo4rKYiRKjtN5KGOxaCUSlSoqq76CQiFEJ2UyLbuCvsbtSTtCSFUR\nndicaXN1/YaGEGpwMLFDqJFRRbVQRbXgzBpCOJcFeN4k8MaYuA4yeZhHUUbBQVGS/uMgsTkp\nywXO7DhXEISyXEodxw74H8hU4YgPIdSAYGKHUOOTmjFErmhm0JcKvOPXPM8ZzKYKhSq9WdqA\nsMSGQoFu1kJ682RIzBTKLpHKQmLSAWcmZj1UlwrF5yhVHDvwPqZD33CHiRAKP3ylGEKNj0zR\nrHnru/IvrDHoCwGAYRQ0xfACJ/AGimaiolultbiVleLbpSIK06q7/J43LLt/5k/vBV2NwFuA\nYUCmYjr0kVx3N9Oic7gDRAg1CJjYIdQoKVUZrdrdX16yr7ryuMVcIxCepiUKZYuY+M7xid1p\nRhbuAFHwUQnp0lunEm2FUHiW6KsphZpKyKATMsIdF0KoAcHEDqEGgljf6u49RqJsljagWVp/\ns6la4E2MRM5Ko32tBDU6lDqeaRMf7igQQg0UJnYIhZNBm1dTfkRfc4GzaChKKlenqGPbRid0\noWnXrwtzhZLKYkMYIkIIocYDEzuEwoMIXGnepsqS/yzmGpqSUBRDQGMyFGsqjleV7E9pOUKu\nTAl3jAghhBoZTOwQCgNChKILaytL9lMUI1elUKLn03lOr685l3dyWfN2/5Mpk8MYJEIIoUYH\nhztBKAyqyw5Ulx6kaVYqj6fsd0NGopTKk0yG4sIL6zy/XgIhhBBygIkdQvWNEL6icDfHm1g3\n98ZRtEQijTZqcrWVObVLCRxvrOZNGsz2EEIIuYOXYhGqbwZtvtlUyUqjPJSRsGqjuUBbdToq\nvqOp4qzh7DZN5XmamIGiaKla3qyTukVfiapZvcWMEEKoUcDEDqH6ZjFVCrzZi0dZGZOhtDpn\ntfbiDou+kmakIJVTArFoCy3Vl/QF+6Lb3qzOxJcNIIQQqoWJHUL1jQicN6PW0QBC8SmN4TAA\nMKpUmmEYhgEABoAIHKcrqT6+kgJKldmnPoJGCCHUGOA9dgjVN4k0iqIkgmCpo5xRQ9WUAUVL\nVM2AsssCKVoiiUrlzdrqU79zurIQxooQQqhRwcQOofqmUDeXsCrOovNQRuDNEr2WEnhG4fod\nAxRQrKoZry/XXdodmjARQgg1PpjYIVTfGIkiJrErEI7njK5LUMSiL6HNnEQWS1Fud1KKYYGi\njCXHQhUoQgihxgYTO4TCID61jzKqhcVUIfAmh1mECGZdKQMsy6ooVuG5HpqR8aZqwV2CiBBC\nqInBxA6hMJCw6tTWI5XRLS2mKqO+hLfoeN7EcwazqdKkL2JYdXzKNbREAaSOeoj1PxzZDiGE\nEABgYodQuMgUzTLbj09qPkSmSBQIx1u0Am9kGFlMYrfm7f4XnzGQZqTE6XyeA8KbaKmaltRx\nYg8hhFATgcOdIBQSvKHKVHLMUp0nWPQ0q5BEpcmTOzNKuychGIkiKeOGxPT+Rl0RZ9HSjEwm\nT5BIo61zpbGZ+sJDBOIpNwOjEIEDQuTNOjg8M4sQQqjJwsQOoSAjRNCd26I9u1UwlFuHrCO8\nALwZgFCsilE1k8WkSZt1UDS/lmYVAEBREoU6w7keVWZfU/kZXl8pUbp6MJYQTl/KyONUza8L\n9RohhBBqLDCxQ8gfxKSnGAlIpE4zSM2RFbqLuwhvYVUJwEg5XZlgKBE4E4AARo1grOG1hYbC\nw/oLO6K73C1LaufuIxQpVynTr9bm7uT05cBG288ULNpiipFFZw9lo1KDv3oIIYQaJ0zsEPKB\nUHTGcmwLf/EQMWqAopmYZLpVT7bLEEoVZy2gu/C37uIuiqIl0WkAwGmKOG0JEIGWygFowluI\nwFESOSNVmyvPV+79Ku7qB9zndlRsp7sAQJ+/j9MWAKukWBkBIJyRcCZGERfVarC61fX1st4I\nIYQaB0zsEPKOwJt3/2g5sF7QlFEMS7EyQghXXQKXjlmO/CW74UFJ9jWCWac7t4VwZmtWJ5g0\nvK4MiEAxcmsdFMMSzsTryxlFrCQqndMUVB/+MbH/M7RU5fIzKUYad9VYRXLn8jPbiOYSITwA\nRcui5ent/8/efUbZdV0Hgt77nJtefq9yFVAo5EQCJAKDCGZRpCQGZdmSbbUsS7a7ZY090+22\nPR4v93Ive3m83O6xu+UwlseiZSuYdEtMEoMEMQGMAEiQyIVCBVROL990ztnz4xWAAiqhCpUA\nne8HVuG+e889t1D13sYJe8dX32GlWxbv8TVN07SrgQ7sNO0yEPkv/VN48Ckg4rWrgXE4V+qV\nQo+GOv3n/ifi14KIIcpDPJqp7GaQpSElQmZGxm9+QG6SDJVf5JGMEasN8z3lzjfi6++d+t7o\n1G+LO6tMFAa5yDiPZJjhLOjjapqmaVcpne5E02Ym294Wh59HZKxqRSWqOw9NB2tXU2HIf/Gb\nYui0Cn1mRgGAZKiCEnJ+6ZZWZACKhA8AaDgoRdD//uX0Ac2olVppJhp1VKdpmqZNRQd2mjaz\n8OAzqpzFdMOkryJjmGlSQ53U9g6eyzyihE+kEPmklxDJsa+4FRT6gGbKRKxpmqZpl0EHdpo2\nA8oNyP7TLJKc5hw0HVISB3sACIEAAIGAgKZIMHch4OMcSMH5OE/TNE3TroBeY6dpM1D5AQo9\ntKLTn4aWA56LmA5yPQwYyRCkBCC4ZDZWSUB+oQis8HmiCZj+TdQ0TdPmgf440bQZkJRABGyG\n4W0ipby8KhAJVyFHBJAhSCIu0XTOX04qRCPCrDgAEElSappUdpqmaZo2Kzqw07QZsEQVGhYE\nHtgxAFBBSfp5FZRJhcg4M6PMSjDTUcUBaZncahSggCQYDiIj4YEIQSmwI8A4CR+QG/FaZBwA\nZGmQRzOR5puX+hE1TdO0a4QO7DRtBqx6Jcs0ibNHeTwTFnqllyMlABARlQpV6KKbBSlYGFDj\nKiPTDKUhWRog4QIzkZmkQlIS/TJxDoZpRGu5kwYgWRwEZLG1d5upSeqJaZqmadoc6MBO02aE\n5g33y/62YOCUpACRMcOppLE7l8rOZV5RGZaqawIAI1bDDEuUBlXoASIgAhEpidzgsTpmxqQ7\nooIisxLxNXckNn1kSR9N0zRNu6bowE7TZsavu0ce+j61nmWmBfbFaeSImOcRMD+TJJE3IQUA\nzE5aVkKFZRIuSaFCV3k5QA6kVFhihm3XXR9f/0GnYRvgFPtmNU3TNG32dGCnaTMjFZbrM8Zw\nxswXoDAKhkGGgchASBChYhCmM6I6A36Bh+VKgmJAZFYMztUKk26WZJC8/tM8UW/Gani8bimf\nR9M0TbtG6cBO02bm9R+VuW5VlVQczHwegwBEQIhgWaquwbdJRmzgJglP+cWxwO5iyA0gaaab\nrZr1i99/TdM07WeEDuw0bQbKyxcP/SsURhANkUrLTBUPQwoCVEqaDOIJpQJQCgEJgGQweSuk\nAPmMyfA0TdM07UrowE5bjsJCjzd4Uvk5IuJOyq5ebyVXzuNyNFJC+QUC4nYSp08OrGThwL/I\nkU5ABCtS6YG0LLAsACAp0C0wzhWO1QQjmLw4mPJLRqLBiOkZ2MWmVFDOnvaKPUq4yC07WhdL\nb+BmbKn7pWmatiB0YKctL9IdzZ14xu1/X/lFIEUIiIyZMaduS2rTg0as9grbD7KdpY79/vAJ\nGboIAIYTqd0cW3WrlV496fle1wG/9z1mx6UKiBTiRWmKkRtARCIghsAFAEweJkofSDordiDX\nv3HzgUiePUbt76rRPpIC41W8eQtbtwtN+5ITi8NHhrv2+uUBKVwEJCDGLdPOpBs/ULXiNl1T\nUdO0a4/+mNGWkbDYP3Lw0SDbgUbEiNeNBUlKyiBf6nozzHVX7fglK71qjq0T5U//uNi2V7ij\nyC1m2IoAvNHimRfd3nfia+9Orr8f8NJPeq/zTQrKLFGPXpakD8grGUwIKlOvgJyhAkRQwgfG\nJllgJ0WYHzAzq6Lr755jz7VxKDcY/PgfVNtBKmdBASIRgXBirH6tec8X+Jobz5850v3qcNdP\nRFAynZTpZAAQgJT0A3dosP1HQbmvfv0nLhTt1TRNuybowE5bLkiGo4e/G4y281gtM8YNvTDO\nnQwzY2H+7Oh736u99auT7k6YUf70j/MnnwUVmMkVFw+8qbA0mD/1HCmV2vTRi7oUuuFIOyAX\nhV5SIclQIRJjxODcvDAiABjAiAFDICAZkBJjISlJ5RWknzdTTamdn+dOag7d1sajkd7g3/5E\ndp9g0STWrqkUakMicAvU+X7wgz+3PvzrfMvtAFAcOT7ctVeGrhNvgAvFepFxx441hF42N3DQ\ndKqqm+9duqfRNE2bf0s/E+FlR8tq8mVJ2s+UUtcb/kgbj2QuiurOQW4Zsdog11Vs3zeHxoNc\nZ7FtL6jAiNXjpcNyzIzVg5LF9pf8kdPjX1B+UZZHhDcivTwyAzlXHBUHQiBSoAgUACABSQzB\njkRX3cK4LQr9YbYrzHaKXC8ROSt2pD/w63oz7DyQIvjh/5Bnj2NVEyRrL1TvRYRoEuvWqNxg\n8MI31FAnkRo5+6IIC3a0blxUd4HppAEo2/dm6I8u6iNomqYtsCUesfOGX/uVL//pnX/z7V9r\nOL+WWb343b9+6uWDXQW++fqbv/i1X14bNaY9Pv1L2lXD63uXZMisKVe1o+EAKbfvneT6+2a7\nkaLUsV+4o2ZyxVQXGrG6INdV6txvV607f9AfPim9LCjJrBgQSSaBFBIBVCZiCUABIRIRIjBu\nVK9K7/y8P3BClodBKRZJWzXrrZp1k8YW2mzJY6+qrqMsVQNWZJKXGTNqV8nBDvnGD8I7HvFK\nvaaVmObnxLAzoTdSHDmeafzAAnZa0zRtcS3liB0p969/9y8L8qLhurZ/+7/++/deu/WTX/nD\n3/pC/PRPfv9//zs17fHpX9KuFip0g0IvNyf7wB6HmVFRHhHuyKwaJyW8oePIrQljdeMgMtPx\nhk6S8Maukn7hzMsAVFmGJVEoIEBERITK3lcEICACZNyKcTtdPvu2DN3Yhg8mb/hscsfPxzd/\n2KpZr6O6+SJPvkl+CSLpqU4gboDliNYD4XCbEh4zppuyZ8wkKfxS7wL0VNM0bcksZWB36Ju/\nfyh190WHKPiL7x1b97k/+sx9H7hu1x2/+We/Uep97l+6S1Men+YS7aqihEtK0kwr2RE5kKTQ\nnV3jQVGF3qQzvBc1bjgkfOHlKn/1B46JQi/GqwEISCoSAIDAADkwjsgRGSIHRETOIlVGrEr6\nObfn4Kz6pl0uItV3CozI9HEyOnHwimr4LJGaeWMEghLleeyjpmnakluywC7X+r/+5FnvD/7w\nU+MP+rmXOz35oQ+tqPzVTt++I24deLFvquPTXLKIj6LNA2ZEkHEkOf1pRBKRz3rzBNG5P2Y+\n7fx5QbZDhR6mG8GMKBEA0Pg1+IAIyAARiIBxHqsGZMgsf+jk7PqmXSYlKPCRzxSrcU5KoiJE\nRjP9OAHB9KN6mqZpV52lWYumgt4//oN/+fDv/N2G6EVv00HpMABsjZrnj2yJGs8ezgV3T34c\nfmHKS+AXJrmvlDKfz195/+ncZ//o6DWy8pqIiGhpH4es6rB4QpnJac5RXoEnVuY9gGnXvCul\nACAMw8oTkRKSOIVFMqZLSyt9l1nxog8gRgHAyw0pJaVCSDXSSAepAJFdCO0IxuZhAcGOCwWg\nQklI5fzo8AAwc+r7zIVSSkrped78Nru0yuWy685i8NXgFoYeheE056DvEWFo1pBv+m5hmkTE\npAQBCkjO14/9vLy3LAfn39+y2ezS9mS+LNX7WywWsyxrkW+qaUsT2P3oz/4gu/OrX95VQ/Ki\n3zTllwCg2rgwjlhjclH0pjo+zSVT3VrKmf4TPxvz29qSW9rHYdWbIXtahWU0Jl9pR8InQFa1\nVarLWkVJROeeCHl6XdjzGpGccpSaiKTPktdJMEBKACA0KofBilGqEQpdQArU+MgOgXFCBMOp\nfBaiksC4VAgzjhXNHs085HiVUZf373geNmzgA2dIqem2zrgFStZDww3G2Va/1MF4ZKqTZZBl\nRsKMrZmvH/tr7N0ArrknWvzHufZ+Z7WrwhIEdgOvf/0fjzX87TfvnvgSsyIAMCpU/NyEy3Ao\nedqa6vg0l0x6a0SMRGZYnn85pJRBEADAvLS2HAghpJS2PcMqtAXlrPoAjRwJR1rRMBm/tCek\nQuGPmpmW5No7por8zguCQErJOT//32Wz5QP50ePkjfIpinrJ8pDhJOMtt5nn/k0x1Sh6TI4K\nmAmxTOgNgwqBAEgBACADZgAikOSGwzgHAEGhlVoZiY6b3SNFg+1QHEFkEK+GmuaJOZAvh+/7\nnHPDmP9fWCV9UepVoozM4k6V4VTN+y0mqgzUmaY5uyfaege1vsHLWUrWTPo6BR4qBVtujyYz\nuOLO4fYnKBw1IpNUK5FBDhlP1t8UTzbM6Qku5bqu4zg4f1XvltC19/4mpRRCLP77G59x5YCm\nLYAlCOwGXzkcFHq/9KmPnz/yzK9+7oXYDY9/57+asW0AL59wRbM99vtwyhWp29NTHQeAaV6a\niDEWi81DjUjf9ytvfPPS2nLgeZ7v+0v+OM7OXxo++E1/tJPMiOEkgRkAQEoqP6+CopNeWbXj\nF63U5B/q41UmLjnnF54otgUL9+RPPa/cYTNWc1F0RUqUhxhjibV3pVZuv9CZ5p1B+0+VnzPi\n9QBc2gnljTDDoXEf3iQ8xm0jkkTGVVDippNYuSNauakMxeGfiEPPqVwfCR8A0bAw02juesi4\n/u7ZhndCCMuy5veDVgbF3NlXi30HRVAEJQAZ47aTXJVquSuSWdise5XAzrZtx3FmcdnWDwSt\nt4t3X2BeAWMTfsdDX2X7+MpN1u2fxlgsFtvBVGH47E+F22/YaW5FgCqVJwLh5wBZumFnw7r7\n56XyBBG5rhuJRK6ND/IgCCrvb9Fo9NoIVX3fV0ot+fubpi2OJQjs1n3h//yLT4ytkiGV/4//\n6b/s+f0//kxdNQA46XuarL997tWB+x5qBoCw9M6bheCT9zU46VWTHp/mksV/Lu3KGfH6mpt+\nNXf8Kbf/aFgaAKUIABC5FY+tvDm1+aErqRWb3PAAEZXaXw7y3cxwsLJJVvhKeMxJxVtuT268\nqOwEj9XEWm7Nn3xO+QVmJ8x4jR+UpPSZMRaLkAwBGI9WIzNIhqI8YtdujKy8CQDAK/o/+ro4\n9QaIAGJJjKWBEEJXdZ/whzplx2H7/l+bPBnbYgmKvYNHv+fmOxhyZsXRiAIRSa84eNjLd6RW\n3ZVpuXe2yQIXHKJ5/1fAzYvWt8HNY6KS0A5J+FDKkVfEhnXmg1/DeKZyetXKOw0nM9L108Ad\nEIVsZfMLctMCOx1WRboKwZm/AyfB69fy1TvQ1rsoNE27FixBYOfUt6yvH/u6ssYu3bJ2bSVB\nMVr/6dObf/ub/+XHjf/5ukz45Nf/W7Txg19YGQeAqY5Pc4l2NeKRTNWOL4T5bn/olHBHiMiI\nZOzqdVZq1ZXGGchSmz7q1G4qdb7mDZ0gEQAQ2onYip2xVbfZVZOMUSU2fiTMdbt97ynhG5GM\nEa8XxV4SHjKTlAAAHknzWJXy89LLWcmmzPafR24BKf/5vxNHX8Z4GquaLjRnRzBWRcUh8d5P\nwDDtB/7DUkVO0s8PHv2emz9jOjXn41QAANPhdiooD2Tb93Izllxx65J0bxoYSVif+l32+vfD\nQ89TcZhGewEAuInRpLHlAfPOz2Gmcfz5yZpt8cymUrbVL/XIsMSY6Zw6hqffg+KhUASVcr9o\nOaxqpXnrp80tdy7NU2maps0fXNrVnSRHP/aJf/fg//udC5UnSL7wT//P9154c9jDdTfc9ev/\nx1fWx4zpjk//0sLwfb9QKABATc3M04JXhcpUbCp1jRQzLRQKvu9blpVMTr7HlqQvvTyRMpwU\nGtPNBpLwcseecM++Lbw8EpEKpV8AkoAMzQg3YwCKmTG7em3yus+YyUYAkMde8X/4V8AMTFRP\n3mZ+AIDZH/9tvnbXZT5RLpebx6nY4VNPjXbsNSPVE9cyAgAQBKUeM1q7YtdvcHu6TcpzNjQ0\nBADxeHx2U7HjUDkn29+DbB8pyeIZXLmF1TTPcI0MvR/+pTixD0lhshbMyq2JvJLKDbBoyrrl\nU+atn55LZ4iGh4czmcw1MxVb2eFbXV19zUzFuq6bTk+Z2lrTriVLHNhdpXRgt8zNGNjNVpDt\n9PrfF/lu6ReYGSFSAEgyQG6asTqrZlOk4frzy+b8x/5InnwN69dN3R6pvjbjhvvsh//jZXZg\nHgM7Jcpdr/834Resqee1lQyEN1Kz8eOp5juu/I4TXXlgNwfBq/8SvPavYMdYfJINInK4i9kx\n56O/ydffMtuWdWC3zOnATvuZomuqaj/bSMm2A6L9Xcr2ghSYqGErNhsbP4DORbP5VnqVlV51\nWQ26edl3muz49PUR0I7KziMgfJipHsa883KdMixxa7rlCoyNn74QAAAgAElEQVRbQNLLnVmg\nwG7xqdHe8N0XANmkUR0A8OqVauBM8Ma/RdbsAq7fGDVNu1rp9y/tWha4Q8LPAYBhp6zIpcOr\navhssPcb4uwx8IoEgIyTDPH9vcHbT9h7Pmds2jOHO6riKIgAzJmykhoWiIBKOUxNnn5l4Ui/\nQCpkM8UuiIZwr5H82wAg296m0jBLN059CrJ4lRzskD0nePN1i9czTdO0eaUDO+1aRBTkjhVG\n3lXhMKkQAJCZdqwh3XRrrGYbIgMANdjhPflnaqAdYxmsX3vh2qAsB874z/8NeSXzhvtnfWvD\nAsZwxhUORIAMjHkuUHE5kBsAjGj6mqtAoHDSFXhXJzXYAUKAMW3AbcehdFYNdejATtO0q9eS\n1YrVtAWiZJDrfCbf9UOvcBpIMSPCDQeUKo2e7Dvx+MCp75MMKPT9F/5GDZxh1SvPZ8cYY0V5\n7Roq54NXv6P6Ts/27ixRjU4C/BkqZZFfYvEMRpdgUaMZqWHcIjltdTICUNKKzj25zHJDXpFm\nXC3GDVCK/NJidEjTNG1h6MBOu7YQDbX9sDR0CACtaKNhp7gRYUbUcFJOfAUi5vveHGx7Rhx/\nRfacwmTd5EM4iFi9UuX7wwNPzboDhsXX7gTpoxJTniMCIMXW3zS3KhRXyE6sMKO1MihU6t1O\nSoYFNKKR6k2L2bEFhdEkzjBGCSBDYBydxKL0SNM0bUHowE67ppRHTxYGDgEzuDXJfljDTiOz\nCgOHvCM/htDFyJQf4cg42jHR8S6VZl0H3djxEUg1yKGzk0dOpNTIWcw0mTc+MNuW5wey1Ko7\nmBER3uRL6EiGws9FM2tjNVsvOa78wlhFtasNq10N3IAwmOYc8orgxFjdmkXrlaZp2rzTa+y0\n5U4J1892KL+AjPNItZVqxqkHuvL9B0RYNOw6NcUqN8PJBPnusLfVMmdIHYJOjPyyyvbyidWr\npsVqmq07Ph/89B9V/xlWtQLMCyvVKHBptBcT1da9v4zJJZvoTDTs9HMd+e7Xg/KAFamG82W1\niGRYkn7OTjRVbXhkbEBRBl7ba0HXATHaRaSQGWbdBqt5l71q15KMOM4NX7cb36hTuT5WM8Xu\nZlKqOGKs3sEbNyxu1zRN0+aTDuy05UsGxUL7i8Wet5VfJBUCIuO2Ea1Nrr47tmIXTJhZIxm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Kn/0b6jmBVU1oRcwwToUeJT1kJpiGMNJG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1ZuSs4Pxrg7OveZz8FIgHzn153Ltpdtdtrjnh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\n9vOdEyoQh6tlATchJuSpri0GR08nT6x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WgrLHQk1QmzJdEnj3jHRCJWjHJdilKi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     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data = daily_activity, aes(x = TotalSteps, y = Calories, color = SedentaryMinutes)) + \n",
    "  geom_point(size = 3, alpha = 0.7) + \n",
    "  scale_color_gradient(low = \"lightgreen\", high = \"red\") +\n",
    "  geom_smooth(method = \"loess\", se = FALSE, color = \"black\", size = 1) +\n",
    "  labs(title = \"Daily Activity: Total Steps vs. Calories\", \n",
    "       subtitle = \"Color shows the amount of Sedentary Minutes\",\n",
    "       x = \"Total Steps\", y = \"Calories\") + \n",
    "  theme_minimal() +\n",
    "  theme(plot.title = element_text(size = 20, face = \"bold\"),\n",
    "        plot.subtitle = element_text(size = 16),\n",
    "        axis.title.x = element_text(size = 14),\n",
    "        axis.title.y = element_text(size = 14),\n",
    "        legend.title = element_text(size = 12),\n",
    "        legend.text = element_text(size = 12)) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eeb0a049",
   "metadata": {
    "papermill": {
     "duration": 0.012245,
     "end_time": "2023-04-17T15:05:43.044838",
     "exception": false,
     "start_time": "2023-04-17T15:05:43.032593",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Interpretation of this first visual:\n",
    "\n",
    "* There is a clear correlation between total steps and calories. This is trending upward. Meaning the more the users are active, the more calories they will burn. It's a fact. \n",
    "\n",
    "* The viaual also shows that some sedentary users still burns about 1500 calories with very minimal activities (Little to 0 steps). According to this [Harvard university article](https://www.health.harvard.edu/staying-healthy/burning-calories-without-exercise#:~:text=It's%20called%20the%20%22basal%20metabolic,that%20you%20burn%20some%20calories.), this is explained but what is called the \"Basic metabolic rate\" or MBR. It is the quantity of energy burnt in order to maintain baci body function while at rest.\n",
    "\n",
    "* When the number of steps is reaches 10K-13K, the sedentary minutes tend to decrease significantly. Meaning customer becomes somewhat inactive after reaching 10K steps."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0630d53a",
   "metadata": {
    "papermill": {
     "duration": 0.012466,
     "end_time": "2023-04-17T15:05:43.069756",
     "exception": false,
     "start_time": "2023-04-17T15:05:43.057290",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**2- Total Distance**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3f8d1c0e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-17T15:05:43.098329Z",
     "iopub.status.busy": "2023-04-17T15:05:43.096637Z",
     "iopub.status.idle": "2023-04-17T15:05:43.421780Z",
     "shell.execute_reply": "2023-04-17T15:05:43.419949Z"
    },
    "papermill": {
     "duration": 0.342177,
     "end_time": "2023-04-17T15:05:43.424359",
     "exception": false,
     "start_time": "2023-04-17T15:05:43.082182",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“\u001b[1m\u001b[22mThe `size` argument of `element_rect()` is deprecated as of ggplot2 3.4.0.\n",
      "\u001b[36mℹ\u001b[39m Please use the `linewidth` argument instead.”\n"
     ]
    },
    {
     "data": {
      "image/png": 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P6V/yt26UzGxN/+N2PoC51rVw8sVcJD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\n82TV5AV6JAAAAABJRU5ErkJggg=="
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(daily_activity, aes(TotalDistance)) +\n",
    "  geom_histogram(binwidth=1, color=\"white\", fill=\"darkgreen\") +\n",
    "  labs(title=\"Total Distance\", x=\"Total Distance\", y=\"Frequency\") +\n",
    "  theme_minimal() +\n",
    "  theme(plot.title = element_text(size = 20, face = \"bold\", hjust = 0.5),\n",
    "        axis.text = element_text(size = 14),\n",
    "        axis.title = element_text(size = 16),\n",
    "        panel.grid.major = element_blank(),\n",
    "        panel.grid.minor = element_blank(),\n",
    "        panel.background = element_blank(),\n",
    "        panel.border = element_rect(color = \"black\", fill = NA, size = 1.2),\n",
    "        legend.position = \"none\") +\n",
    "  geom_vline(aes(xintercept = mean(TotalDistance)), \n",
    "             color = \"red\", \n",
    "             size = 1.2, \n",
    "             linetype = \"dashed\") +\n",
    "  annotate(\"text\", \n",
    "           x = mean(daily_activity$TotalDistance), \n",
    "           y = max(daily_activity$TotalDistance)*0.8, \n",
    "           label = paste0(\"Mean: \", round(mean(daily_activity$TotalDistance),2)), \n",
    "           color = \"red\",\n",
    "           size = 5)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24e60edc",
   "metadata": {
    "papermill": {
     "duration": 0.013953,
     "end_time": "2023-04-17T15:05:43.452163",
     "exception": false,
     "start_time": "2023-04-17T15:05:43.438210",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "* We notice a peak in frequency when the distance reaches 5.49Km. Which means, most users walk about 5Km."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2eb50ea8",
   "metadata": {
    "papermill": {
     "duration": 0.013262,
     "end_time": "2023-04-17T15:05:43.478823",
     "exception": false,
     "start_time": "2023-04-17T15:05:43.465561",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**3- Comparing LightlyActiveMinutes, FairlyActiveMinutes, VeryActiveMinutes and SedentaryMinutes**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7fa43957",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-17T15:05:43.508450Z",
     "iopub.status.busy": "2023-04-17T15:05:43.506924Z",
     "iopub.status.idle": "2023-04-17T15:05:43.960040Z",
     "shell.execute_reply": "2023-04-17T15:05:43.957979Z"
    },
    "papermill": {
     "duration": 0.470485,
     "end_time": "2023-04-17T15:05:43.962459",
     "exception": false,
     "start_time": "2023-04-17T15:05:43.491974",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vPRq044atrnDfaQAKg3YQfN0uLvJm233XaHXPB6zYXpVMmD80tbdFjOLwqO53aJ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     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select the columns of interest and calculate the sum of minutes for each activity\n",
    "df <- daily_activity %>%\n",
    "  select(LightlyActiveMinutes, FairlyActiveMinutes, VeryActiveMinutes, SedentaryMinutes) %>%\n",
    "  summarize_all(sum)\n",
    "\n",
    "# Calculate the percentage of each activity\n",
    "df_percent <- df %>%\n",
    "  pivot_longer(everything(), names_to = \"activity\", values_to = \"minutes\") %>%\n",
    "  mutate(percent = scales::percent(minutes / sum(minutes)))\n",
    "\n",
    "# Create a bar chart using ggplot()\n",
    "ggplot(df_percent, aes(x = activity, y = minutes, fill = activity)) +\n",
    "  geom_bar(stat = \"identity\", width = 0.5, color = \"white\") +\n",
    "  labs(x = \"\", y = \"\", fill = \"\") +\n",
    "  theme_minimal() +\n",
    "  theme(legend.position = \"bottom\",\n",
    "        axis.line.y = element_blank(),\n",
    "        axis.text.y = element_blank(),\n",
    "        axis.ticks.y = element_blank()) +\n",
    "  geom_text(aes(label = percent, y = minutes + max(minutes) * 0.05), position = position_dodge(width = 0.5), size = 4) +\n",
    "  scale_y_continuous(limits = c(0, max(df$LightlyActiveMinutes, df$FairlyActiveMinutes, df$VeryActiveMinutes, df$SedentaryMinutes) * 1.2),\n",
    "                     expand = c(0, 0.05))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f563b28",
   "metadata": {
    "papermill": {
     "duration": 0.015954,
     "end_time": "2023-04-17T15:05:43.993371",
     "exception": false,
     "start_time": "2023-04-17T15:05:43.977417",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "What can we say reading this graph?\n",
    "\n",
    "* We can see that the majority of the time recorded in the dataset is spent in a sedentary state, which accounts for 81% of the total time. This suggests that the users are not engaging in much physical activity throughout the day.\n",
    "\n",
    "* On the other hand, the very active and fairly active minutes are both below 1.5% each, which indicates that the users are not engaging in much vigorous physical activity.\n",
    "\n",
    "* The lightly active minutes account for 15.82% of the total time, which suggests that the users are engaging in some light physical activity, such as walking or light household chores.\n",
    "\n",
    "* Overall, this data suggests that the users may benefit from increasing their level of physical activity, particularly by reducing sedentary time and increasing moderate-to-vigorous physical activity.\n",
    "\n",
    "* According to the [WHO](https://apps.who.int/iris/bitstream/handle/10665/337001/9789240014886-eng.pdf), it is recommended at least 150 to 300 minutes of moderate aerobic activity per week (or the equivalent vigorous activity) for all adults"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69af64f0",
   "metadata": {
    "papermill": {
     "duration": 0.01381,
     "end_time": "2023-04-17T15:05:44.021256",
     "exception": false,
     "start_time": "2023-04-17T15:05:44.007446",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**4- Total minutes asleep vs Total time in bed**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a49d9be5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-17T15:05:44.052422Z",
     "iopub.status.busy": "2023-04-17T15:05:44.050779Z",
     "iopub.status.idle": "2023-04-17T15:05:44.420926Z",
     "shell.execute_reply": "2023-04-17T15:05:44.418220Z"
    },
    "papermill": {
     "duration": 0.390206,
     "end_time": "2023-04-17T15:05:44.425123",
     "exception": false,
     "start_time": "2023-04-17T15:05:44.034917",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[1m\u001b[22m`geom_smooth()` using formula = 'y ~ x'\n"
     ]
    },
    {
     "data": {
      "image/png": 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2elaTo+LP7exveObD8yIcJ1DAoVoij+de6v1YdXH7h8wMyZ48PiVz+72mVNBDsA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\nFVTmpa2R23/PNBbdZ52CI6LWK87np68nIsZr/smz2NWkHh5ERBp9F0m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     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Total minutes asleep vs Total time in bed\n",
    "\n",
    "ggplot(data = sleep_day, aes(x = TotalMinutesAsleep, y = TotalTimeInBed)) + \n",
    "  geom_point(color = 'darkgreen', size = 3, alpha = 0.7) + \n",
    "  geom_smooth(method = \"loess\", color = 'darkblue', fill = 'lightblue', alpha = 0.2) +\n",
    "  labs(title = \"Minutes Asleep vs Total Time in Bed\", \n",
    "       x = \"Total Minutes Asleep\", \n",
    "       y = \"Total Time in Bed\") +\n",
    "  theme_minimal() +\n",
    "  theme(plot.title = element_text(size = 18, face = \"bold\", hjust = 0.5), \n",
    "        axis.title = element_text(size = 16), \n",
    "        axis.text = element_text(size = 14)) +\n",
    "  scale_x_continuous(expand = c(0, 0)) +\n",
    "  scale_y_continuous(expand = c(0, 0), limits = c(0, 1000))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0b95107",
   "metadata": {
    "papermill": {
     "duration": 0.016684,
     "end_time": "2023-04-17T15:05:44.459040",
     "exception": false,
     "start_time": "2023-04-17T15:05:44.442356",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Interpretation of this second visual:\n",
    "\n",
    "* This visual explains, on a timeframe of 1000 minutes (16hours) in bed, users tend to be asleep only 7.5 hours (450mins).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ccb2642",
   "metadata": {
    "papermill": {
     "duration": 0.016139,
     "end_time": "2023-04-17T15:05:44.491852",
     "exception": false,
     "start_time": "2023-04-17T15:05:44.475713",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# F - Act ✅\n",
    "\n",
    "Recommendations for the marketing team and skateholders: \n",
    "\n",
    "* Gather more data for an accurate analysis, specifically for the tagerted audience\n",
    "* Educate the users to to engage in activities by setting up reminders or sending email/push notifications.\n",
    "* Just like the the Appwatch or fitbit app, Beallabeat app can have a reward winning system that reward users after completed a certain type of activities.  Like walking/running certain distance per hour, day or month.\n",
    "\n",
    "* The majority of the time recorded in the dataset is spent in a sedentary state, which accounts for 81% of the total time. This suggests that the users are not engaging in much physical activity throughout the day. Bellabeat should encourage it's users to engage in activities by setting up reminders or sending email/push notifications. Bellabeat can also organize training sessions with expert for it's members, as working in a group can be engaging and users may like this offering.  \n",
    "\n",
    "* If Bellabeat users want to improve their sleep, the Bellabeat app can recommend reducing sedentary time. App notification and education compain should also be considered. \n",
    "\n",
    "-------------------------------------------------------\n",
    "**Thanks for reading my first data analysis project with R, I would appreciate any feedback to improve it! 🤝🏾**"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.0.5"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 9.08625,
   "end_time": "2023-04-17T15:05:44.629716",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
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