R Markdown
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
## 'data.frame': 9779 obs. of 11 variables:
## $ Start : Factor w/ 9764 levels "1/1/2017 0:02",..: 6682 6683 6684 6685 6686 6687 6688 6689 6690 6691 ...
## $ Finish : Factor w/ 9652 levels "1/1/2017 0:02",..: 6646 6647 6648 6649 6650 6651 6652 6653 6654 6655 ...
## $ StartDate : Factor w/ 325 levels "1/1/2017","1/10/2017",..: 243 243 243 243 243 243 243 243 243 243 ...
## $ DayDivision : Factor w/ 5 levels "Afternoon","Early morning",..: 3 3 5 5 5 5 5 5 5 5 ...
## $ Day : Factor w/ 7 levels "Friday","Monday",..: 4 4 4 4 4 4 4 4 4 4 ...
## $ Season : Factor w/ 4 levels "Fall","Spring",..: 3 3 3 3 3 3 3 3 3 3 ...
## $ Distance : num 0.04569 0.16284 0.04017 0.00348 0.00395 ...
## $ Step : int 124 485 117 8 13 128 66 24 8 12 ...
## $ ActiveCalorie: num 12.4 48.5 11.7 0.8 1.3 12.8 6.6 2.4 0.8 1.2 ...
## $ HeartRate : int 90 83 90 90 87 95 107 107 113 87 ...
## $ Duration : int 5 5 3 0 0 2 4 5 0 1 ...
Summary of Distance Walked
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.003579 0.809300 1.663000 2.044000 3.171000 8.786000
Summary of Steps Count
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 8 1970 4360 5236 7846 24040
Summary of Active Calorie
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.8 197.0 436.0 523.6 784.6 2404.0
Summary of Heart Rate
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.0 87.0 100.0 100.9 115.0 164.0
Some details about maximum active calorie.
## StartDate DailyStep DailyDistance
## 1 7/16/2016 24037 8.786095
Some details about minimum active calorie.
## StartDate DailyStep DailyDistance
## 1 11/27/2016 8 0.003579098
Heart rate reached to burn maximum calorie
## [1] 164
Heart rate when minimum calorie burned
## [1] 85
Why minimum heart rate is zero in the summary? I am still alive!!!
## [1] 87
## StartDate Distance Step HeartRate ActiveCalorie
## 1 7/10/2016 0.013297344 29 0 2.9
## 2 7/12/2016 0.025215243 63 0 6.3
## 3 7/12/2016 0.037853933 101 0 10.1
## 4 7/29/2016 0.101097093 268 0 26.8
## 5 7/31/2016 0.010494959 26 0 2.6
## 6 7/31/2016 0.012887239 29 0 2.9
## 7 8/15/2016 0.082107989 215 0 21.5
## 8 8/15/2016 0.015453502 37 0 3.7
## 9 8/15/2016 0.129611817 314 0 31.4
## 10 8/15/2016 0.054612314 145 0 14.5
## 11 8/15/2016 0.018100543 47 0 4.7
## 12 8/15/2016 0.097586346 209 0 20.9
## 13 8/15/2016 0.073160244 178 0 17.8
## 14 8/15/2016 0.150819216 384 0 38.4
## 15 8/15/2016 0.160935139 433 0 43.3
## 16 8/15/2016 0.062472660 136 0 13.6
## 17 8/15/2016 0.197527688 432 0 43.2
## 18 8/15/2016 0.063280442 156 0 15.6
## 19 8/17/2016 0.009332995 21 0 2.1
## 20 8/17/2016 0.130879414 330 0 33.0
## 21 9/6/2016 0.123528593 332 0 33.2
## 22 9/6/2016 0.161550296 473 0 47.3
## 23 9/6/2016 0.024078134 59 0 5.9
## 24 10/5/2016 0.050604470 106 0 10.6
## 25 10/6/2016 0.029869313 69 0 6.9
## 26 10/6/2016 0.114611916 314 0 31.4
## 27 10/19/2016 0.009451056 29 0 2.9
## 28 10/20/2016 0.098841516 286 0 28.6
## 29 10/20/2016 0.055805347 157 0 15.7
## 30 11/5/2016 0.005716615 13 0 1.3
## 31 11/5/2016 0.033336564 77 0 7.7
## 32 11/5/2016 0.005287869 12 0 1.2
## 33 11/5/2016 0.025718554 60 0 6.0
## 34 11/5/2016 0.013315985 34 0 3.4
## 35 11/5/2016 0.043551907 131 0 13.1
## 36 11/5/2016 0.021257108 51 0 5.1
## 37 11/5/2016 0.022953452 56 0 5.6
## 38 11/5/2016 0.048870844 140 0 14.0
## 39 11/5/2016 0.072333820 182 0 18.2
## 40 11/5/2016 0.060757675 148 0 14.8
## 41 11/6/2016 0.019020172 51 0 5.1
## 42 11/6/2016 0.051648373 122 0 12.2
## 43 11/6/2016 0.003293267 10 0 1.0
## 44 11/20/2016 0.041196910 103 0 10.3
## 45 11/21/2016 0.163843156 456 0 45.6
## 46 11/21/2016 0.098555685 249 0 24.9
## 47 1/7/2017 0.091111658 252 0 25.2
## 48 1/10/2017 0.112002157 257 0 25.7
## 49 1/10/2017 0.152677116 357 0 35.7
## 50 2/1/2017 0.208830430 484 0 48.4
## 51 2/3/2017 0.114108606 324 0 32.4
## 52 2/3/2017 0.103905691 297 0 29.7
## 53 3/5/2017 0.006959357 16 0 1.6
## 54 3/5/2017 0.005101457 11 0 1.1
## 55 3/5/2017 0.092646445 242 0 24.2
## 56 3/5/2017 0.050983506 138 0 13.8
## 57 3/5/2017 0.025612921 70 0 7.0
## 58 3/5/2017 0.015161457 45 0 4.5
## 59 3/5/2017 0.005231945 12 0 1.2
## 60 3/5/2017 0.040861370 119 0 11.9
## 61 3/5/2017 0.008251809 16 0 1.6
## 62 3/5/2017 0.013222779 30 0 3.0
## 63 3/5/2017 0.010650302 24 0 2.4
## 64 3/5/2017 0.004436590 10 0 1.0
## 65 3/9/2017 0.078392190 203 0 20.3
## 66 3/9/2017 0.280312972 687 0 68.7
## 67 3/18/2017 0.015726905 42 0 4.2
## 68 3/20/2017 0.086855265 205 0 20.5
## 69 3/21/2017 0.012874811 28 0 2.8
## 70 4/14/2017 0.034989412 100 0 10.0
## 71 4/15/2017 0.042290523 125 0 12.5
## 72 4/15/2017 0.022133242 58 0 5.8
## 73 5/6/2017 0.021921976 51 0 5.1
## 74 5/6/2017 0.068941134 194 0 19.4
## 75 5/6/2017 0.133221984 386 0 38.6
## 76 5/6/2017 0.054854649 148 0 14.8
## 77 5/6/2017 0.080734759 192 0 19.2
## 78 5/6/2017 0.119940701 318 0 31.8
## 79 5/6/2017 0.098120725 249 0 24.9
## 80 5/6/2017 0.076844975 192 0 19.2
## 81 5/6/2017 0.128331792 335 0 33.5
## 82 5/6/2017 0.000671081 2 0 0.2
## 83 5/6/2017 0.057178577 166 0 16.6
## 84 5/6/2017 0.033255786 79 0 7.9
## 85 5/8/2017 0.007611797 17 0 1.7
## 86 5/8/2017 0.036362642 85 0 8.5
## 87 5/29/2017 0.018889684 42 0 4.2
Including Plots
Average heart rate Histogram
Daily Calorie burn pattern
Distance walked pattern
Weekdays walked pattern
Distance vs Calorie - Seasonal effect
Distance vs Calorie - More Details
Calorie burn vs Heart Rate
