Five minutes before showtime, we were already waiting behind the huge stage of the ICC Auditorium for the grand #IronVizEurope final to start. I was taking a deep breath and Jade Le Van asked me: “Are you ok?“. I said “Yes, I am. But why am I doing this?” And she answered: “You are pushing your limits.”
Some of you may have seen the #IronVizEurope grand final, where trapezium tile maps (Neil Richards labeled them this way and I quite liked it) for Europe played a significant part in my winning viz on the Big Mac Index.
When I was playing around a little bit with this week’s #MakeoverMonday data on The World’s Most Expensive Prime Property I had the idea to compare prices for prime property in the selected cities with each other.
My first idea was to compare all prices of all cities with each other and therefore I built this crosstab/heat map:
For this week’s #MakeoverMonday I created a visualization to compare Premier League pre season predictions with reality after 38 rounds:
For the first #IronViz feeder contest I created a context machine for German literature (click the viz for an interactive version on Tableau Public):
In the past weeks, I had quite some fun to create visualizations for the Olympic and the Paralympic Winter Games. Beside a visualization of the most successful Olympic athletes of all times I created three visualizations on luge, on biathlon and on alpine skiing.
There are many blogposts on how to build a hex tile map in tableau (see for example this overview by Charlie Hutcheson). If you ever want to build a hex map just follow the instructions in these blogposts.
If you want to build one for Germany with its sixteen “Bundesländer” feel free to take my coordinates (hexmap germany) to rebuild the Germany shape.
In a 20-country YouGov international study men and women were asked which attributes they prioritise in a partner. The heatmap shows where men and women have similar priorities and where not based on cumulated absolute percentage point deviations. This viz was created as part of #makeovermonday.
For the #SWDchallenge I created this annotated line chart showing the Transfer Expenditures in German Football Bundesliga from 1990-2017. Check out the interactive Version on Tableau Public.