Skip to content

data visualization

The ultimate review of the biathlon season for wax-amateurs.

Think of the men’s mass start in Antholz. Vetle Christiansen leaves the range after the final shooting with a large-enough lead to be confident he’s going to win. QFM is in second place, and he also should be confident about getting the silver. But Dale and Soerum put in a monster ski performance (or did they?) QFM’s on the other hand struggles with the wax and perhaps also his fitness. The ease with which the two Norwegians close in on the Frenchman, particularly on the downhill sections, is shockingly noticeable. In the snapshots below, Dale makes up an estimated 57m… Read More »The ultimate review of the biathlon season for wax-amateurs.

Trigger request – maintaining performance over a season

A couple of weeks ago, I received a Trigger request from Wyatt: “In general, are older athletes able to maintain performance over the course of a world cup season vs younger athletes who might burn out faster? Gut feel says yes, but what does the data say?” He checked off the boxes for all seasons, but to keep the data manageable I looked at the last three seasons only. And since we’re talking about form during the season, I only included athletes that participated in 17 races, roughly two thirds of all races, in a season. He imagined some kind… Read More »Trigger request – maintaining performance over a season

Learning R – reading books

After I worked with R in the past and starting playing around with R Studio Cloud recently, I thought it would be a good idea to actually read some books about it. And, as this specific book suggested, make some notes and follow examples in a Markdown Notebook, that can be easily published as an html-file. And low and behold, I can just save that file and upload it here, so that I just need to click once and see the same document. Very cool! So, one book I read through is Data Visualization, a practical introduction, by Kieran Healy.… Read More »Learning R – reading books