Data Repository
Vuthithorn Chinthammit
June 12, 2019
Screen Time Data
This dataset contains adminstrative data of the time I spent looking at iPhone from May3 - May 31, 2019. The data was collected through iPhone Screen Time setting. I manually record the time into spreadsheet each week and take an average for each day of the week.
The dataset includes the average screen time for each day of the week, week Day.
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Steps Data
This dataset contains passive data on the number of steps I took from May3, 2019 to May31, 2019. The data was retreived through iPhone Health App with the “export” function. This data is only collected when iPhone is with me, so this is obviously an underestimation and we will treat those and negligable comparing to the steps when I have iPhone with me. The variables were collected: -Date, week Day, steps.
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## col_factor## [1] "export.xml" "export_cda.xml"## $nameCounts
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## Record ExportDate HealthData Me
## 14749 1 1 1
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## $numNodes
## [1] 14752## Date in ISO8601 format; converting timezone from UTC to "America/Los_Angeles".## Record.type year month
## Length:29 Length:29 Length:29
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
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## day sum
## Length:29 Min. : 2.037
## Class :character 1st Qu.: 4.453
## Mode :character Median : 5.354
## Mean : 5.779
## 3rd Qu.: 7.099
## Max. :11.239
Sleeping Data
The Sleep Cycle app collects how many hours I sleep per night, and record the sleep quality. It also see whether how much I snore or wake up at night. It is also record when I go to sleep and when I wake up in the morning. It is also see whether my sleeping quality affected by air pressure or the weather. However, for this experimental purpose, I decide to focus on sleeping quality and the amount of sleep I get per night.
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## days, hours, minutes, seconds, years## Start End Sleep.quality Wake.up Sleep.Notes Heart.rate
## 1 2019-05-03 2019-05-04 71% NA NA 0
## 2 2019-05-04 2019-05-05 73% NA NA 0
## 3 2019-05-05 2019-05-06 75% NA NA 0
## 4 2019-05-06 2019-05-07 81% NA NA 0
## 5 2019-05-08 2019-05-08 0% NA NA 0
## 6 2019-05-09 2019-05-09 7% NA NA 0
## 7 2019-05-09 2019-05-10 100% NA NA 0
## 8 2019-05-10 2019-05-11 100% NA NA 0
## 9 2019-05-11 2019-05-11 4% NA NA 0
## 10 2019-05-11 2019-05-12 75% NA NA 0
## 11 2019-05-12 2019-05-13 77% NA NA 0
## 12 2019-05-13 2019-05-13 8% NA NA 0
## 13 2019-05-14 2019-05-15 88% NA NA 0
## 14 2019-05-15 2019-05-16 99% NA NA 0
## 15 2019-05-16 2019-05-17 86% NA NA 0
## 16 2019-05-17 2019-05-18 94% NA NA 0
## 17 2019-05-20 2019-05-21 95% NA NA 0
## 18 2019-05-21 2019-05-22 85% NA NA 0
## 19 2019-05-22 2019-05-23 78% NA NA 0
## 20 2019-05-23 2019-05-24 85% NA NA 0
## 21 2019-05-24 2019-05-25 99% NA NA 0
## 22 2019-05-25 2019-05-26 77% NA NA 0
## 23 2019-05-28 2019-05-29 92% NA NA 0
## 24 2019-05-29 2019-05-30 90% NA NA 0
## 25 2019-05-30 2019-05-31 90% NA NA 0
## 26 2019-05-31 2019-06-01 87% NA NA 0
## Activity..steps. minutes
## 1 0 481
## 2 0 485
## 3 0 511
## 4 0 469
## 5 0 0
## 6 0 31
## 7 0 495
## 8 0 522
## 9 0 20
## 10 0 451
## 11 0 522
## 12 0 37
## 13 0 500
## 14 0 504
## 15 0 500
## 16 0 509
## 17 0 520
## 18 0 510
## 19 0 508
## 20 0 492
## 21 0 497
## 22 0 447
## 23 0 528
## 24 0 464
## 25 0 483
## 26 0 463