data visualization
How old is too old for an Olympic medal?
I a recent Trigger request, I was asked about the average age of female biathletes getting on the podium at World Championships and the Olympic winter games since the 2016/17 season. See here the result!
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
Getting pumped for the new Biathlon season?
A quick re-run of the last race of last season, by ranking
Using Real Biathlon data to create a dashboard in Tableau
This blogpost shows how to load data from a real biathlon Patreon data subscription into Tableau and make dashboards that help you pick the next winners for biathlon fantasy pools.
Shooting Speed
An analysis of shooting speed in biathlon, using the women’s individual race in Kontiolahti as an example.
Improvements season-to-season, putting it to use
A step-by-step on how to make a quick interactive chart based on data from the real biathlon website
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