Pelerinage2016 statistics

I have finally tabulated the data from the gpx files for each day. I’ll do something more informative with these data in the next few weeks but here it is for now. You can see all the days here and can scroll horizontally to see all the variables.

DayDateDistanceTimeMoving_timeAscentDescentMax_ascentMean_speedMax_speedMean_HRMax_HRMean_tempMin_tempMax_temp
12-Aug-1689.06:46:005:45:001118108918413.249.712218018.215.022.0
23-Aug-1673.74:57:004:21:0075487514615.359.111216618.314.025.0
34-Aug-1681.96:32:005:40:001141111812312.562.311516020.215.026.0
45-Aug-1686.85:52:004:41:004775189314.849.211614522.318.028.0
56-Aug-1669.85:04:003:58:0047242620013.852.910812925.022.029.0
67-Aug-1686.47:12:005:12:0053754017112.138.910914029.020.034.0
78-Aug-16124.48:25:007:10:0074561216015.245.811614519.115.024.0
89-Aug-167.110:30:000:27:0069684414.639.1NANA20.919.024.0
910-Aug-16147.47:52:007:00:0056260013619.249.211814018.515.022.0
1011-Aug-16106.07:53:006:17:0067973111113.636.110917323.018.032.0
1112-Aug-1624.01:03:001:01:006065323.029.014115326.420.031.0
1220-Aug-1661.34:04:003:37:0053648411415.242.713115924.121.034.0
1321-Aug-16108.57:29:006:16:00984101318414.549.011614224.015.029.0
1422-Aug-1649.93:07:002:37:0037445016516.249.811914030.323.033.0
1523-Aug-1666.24:49:004:20:005155146613.843.911513834.824.039.0
1624-Aug-1690.45:37:004:57:004584235016.133.811914725.718.029.0
1725-Aug-1696.35:44:005:18:004614446416.842.011314129.524.037.0
1826-Aug-1685.95:19:004:46:003673635916.254.811214327.417.033.0
1927-Aug-1666.74:42:003:46:003823824714.639.311815932.624.039.0
2028-Aug-16120.97:14:006:29:006356536516.847.710913921.620.025.0
2129-Aug-1656.93:54:003:27:0046130014014.648.410513520.617.028.0
2230-Aug-1657.84:31:003:54:0014631080103912.963.412216321.015.029.0
2331-Aug-1655.84:40:003:19:0061977763012.672.111015822.212.034.0
241-Sep-1669.24:33:004:07:0099895257715.859.911815530.419.036.0
252-Sep-1649.33:59:003:32:0064739158212.445.911016133.218.043.0
263-Sep-1668.24:14:003:58:00727520102816.154.011815224.314.035.0
274-Sep-1692.95:28:005:06:0052856685217.058.511114025.115.037.0
285-Sep-16107.56:15:005:44:0057857089917.850.811514723.79.038.0
296-Sep-1671.44:20:003:59:00674366101817.151.311414322.813.042.0
307-Sep-1656.43:31:003:10:007121326146216.060.610616116.913.022.0
318-Sep-1672.15:01:004:33:0013091401131318.166.711516813.79.023.0
329-Sep-1663.54:43:004:16:001117108672013.964.410214416.68.031.0
3310-Sep-1657.03:45:003:27:00826101843915.263.510414318.615.023.0

This link here should open an analysis of those data with plots of the main variables.

Created 4.ix.26. Header image is from day 23, 31.viii.26 Zubiri to Puenta-la-Reina, in many ways a pivotal day I am revisiting 4.ix.26, analyses added 11.ix.26.