I created some analytics using Tableau for the 2019 Marathon and thought it would be interesting to share.
https://public.tableau.com/profile/scott.mitchell4119#!/vizhome/WDWMarathon2019/FinishTimeBreakdown
If you're a data junkie, you'll love it.
If you want to know the number of corral jumpers by corral, or how many runners had negative splits, or who passed the most runners, you'll love it too. I made the data public in Tableau, so take it, share it, and do whatever you want with it.
Here are a few stats that you'll see in the charts:
https://public.tableau.com/profile/scott.mitchell4119#!/vizhome/WDWMarathon2019/FinishTimeBreakdown
If you're a data junkie, you'll love it.
If you want to know the number of corral jumpers by corral, or how many runners had negative splits, or who passed the most runners, you'll love it too. I made the data public in Tableau, so take it, share it, and do whatever you want with it.
Here are a few stats that you'll see in the charts:
- Only 55 of 12,000 marathon participants improved their pace at each timing mat
- 9 participants passed more than 10,000 others en-route to the finish line.
- 33% of finishers bonked
- Only 1,332 participants had a negative split
- At the 5 mile mark, the most crowded was about 7:05 AM when 305 participants per minute were crossing the mat (that’s 5 per second!)