- by Broadway0474, Blogger
- 6/19/2017 10:37:28 PM
That gives hope to all us non swimmers out there. One of the reasons I have always shied away from any triathlon is my lack of comfort and skills in the water --- that and the grueling exercise of course! But now that we have data proof that the biking and running are long enough to allow participants to make up significant time after dogging it with the doggie paddle.
- by kq4ym, Data Doctor
- 6/16/2017 10:36:46 AM
And as noted, there's usually going to be a bit of a hiccup in gathering and putting the data together as it was later found "Based on some helpful feedback from actual triathletes, it appears that the table on the Ironman website leaves out......" Those little details can surely mess up our premise if not cause some real confusion in trying to figure out what was really going on. Hopefully we'll catch those before it's too late.
- by PredictableChaos, Data Doctor
- 6/12/2017 12:08:08 PM
This data format is wonderful for being able to compare Ironman competitors at a glance.
I've known that some people are stronger (or weaker) in one of the events. What I see in this data is that the swim times have enourmous variability
I would not have expected to see people placing in the top 100 that are 10 minutes behind when they get out of the water after a relatively short swim component.
- by jaclx, Prospector
- 6/10/2017 6:41:35 PM
Thank You for taking to offer us this nice analysis.
As a 70.3 enthusiast myself it doesn't surprises me to see big relative differences between segments. As I come from a running background with some swim in my early youth, the bike segment for me is always (and by far) the weakest segment.
It would be really nice to see some scatter plots for all athletes: swim x bike, bike x run, swim x run. With those plots it would be easy (and interesting) to spot the oddities and the general trends.
ANALYTICS IN ACTION
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- by James M. Connolly