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.
Starting Point and Goals
In this first blog post I want to share my work on this week’s #MakeoverMonday challenge. The Community took a look at US per capita consumption of poultry and livestock and the original visualization was a nice and clean (static) line chart (find the data here).
I decided to focus also on pork, beef and chicken as the main meat types and wanted to give some context to the overall meat consumption trend in addition to the lower level trends.