#SportsVizSunday Challenge Dec 2018
Dec 1, 2018Klaus Schulte
When Simon, Spencer and James asked me earlier this year if I could join the #sportsvizsunday team as a guest host for one of the upcoming months I was very honored, and my answer was of course ‘yes’. I have followed this initiative since it was established, and it has always been fun to work with datasets on various sports in or beside the monthly challenges throughout the year. I have always used these challenges as opportunities to learn new techniques and chart types.
As a guest host you are allowed to select the dataset. Since I am a sucker for winter sports in general and alpine skiing in specific and I love both, going skiing by myself and watching alpine skiing on TV, I was very happy when I discovered the large FIS (Fédération Internationale de Ski) database at fis-ski.com.
In this database you can find results of all disciplines organized by the FIS. Due to my love for alpine skiing I eventually focused on this discipline only (the database also includes cross-country skiing, ski jumping and other disciplines) and scraped the data for all races of the World Cup since it was established in 1967. The World Cup is a series of races in different competitions (Downhill, Super G, Giant-Slalom, Slalom, Combined/Alpine Combined) where the best racer of a season wins a so-called Crystal Globe, a small Crystal Globe for the winner of a competition (e. g. Slalom) and a big Crystal Globe for the overall winner.
The vizzing challenge is to create a visualization based on this dataset. It’s up to you if you want to focus on a certain athlete, a certain season, a certain competition or certain nations, like I did in a visualization on alpine skiing at the Paralympic Winter Games earlier this year.
For those unfamiliar with alpine skiing and the FIS World Cup I’ve prepared a workbook on Tableau Public, that can be used to explore the data and to find stories in it.
Click the dashboards to play with the interactive version on Tableau Public.
Number of events by discipline
Crystal Globe winners by season
Wins & Podiums
Results by race
Venues by Region
I hope you will enjoy this challenge. If you have any questions don’t hesitate to shoot me a message here in the comments section or on Twitter.
Please publish your visualization(s) on data.world and on Twitter including the hashtag #sportsvizsunday and tagging me (@ProfDrKSchulte), Simon Beaumont (@SimonBeaumont04), Spencer Baucke (@JSBaucke) and James Smith (@sportschord) to get feedback.
Hi Klaus, I had an idea and was ready to execute, but just realized that the implied assumption was probably wrong. For the same gender and event, time is only comparable for the same race at the same venue, not for races in the same season nor along time, unless it’s speed which is not available through FIS. Even with speed, it depends on many other factors which might not be fair to compare amongst different races and years. The distance and difficulties must vary from one venue to another and one year to another for the same race. Agreed?
Yes, totally agreed. Each race is unique!
The first ever sports data set that interested me, lol ! Will definitely put some time in for this challenge!! thanks Klaus
Ha, I knew that you would like this 🙂 Cannot wait to see what you come up with!