I love trail running. And I love data and infographics. And running the UTMB ,considered to be the holy grail among ultra runners, is on my bucketlist. So I combined all these passions in a personal project. I jumped into the data of the UTMB and made a datavisualization about the (main) event. Really happy with it. Except the fact that I didn’t have time to run because of this project…;-)
Link to high resolution version
Does size matter? For the World Data Visualization Prize, an initiative from the #WorldGovSummit, I built a data visualization that focuses on small countries. The visualization shows the six World Governance Indicators, the ranking on the Human Development Index, the number of women in national parliaments (and a lot more) on the 67 smallest countries in the world (< 5.000.000 inhabitants), sorted by their distance to the equator.
Link to high resolution version
For #MakeoverMonday I made a datavisualization about the women represented in the House of Representatives over the last 100 years.
Link to the interactive visualisation can be found here
Last week FIFA 19 was released. For the #SWDchallenge I jumped into the stats of the 2018 version. Looking for the ‘hidden gems’. Potential wonderkids. Players who have the potential to become the stars of tomorrow.
First, 17,929 profiles of players were screened. The selection had been reduced to every single player in the range of 16-20 years. That are 3,255 players in total .
Then, the current rating of an individual player is plotted on the x-axis. The potential rating of a given player on the y-axis. Every dot is a single player. The size of the dot represents the growth margin. The bigger the dot the better a player could become. Finally the player are categorized by continent and prefered position on the pitch; goalkeeper, defender, midfielder or striker).
A link to the (static) .PDF can be found here:
The interactive version (external link to Tableau public) can be found here