On Tuesday, the world wake up with a new POTUS, and the media were filled with data visualizations of the result. An electoral dataviz that never gets old is the “choropleth map”, like the one below:
However, despite popularity and ease of interpretation, this map can be told inaccurate for a very simple reason: it suggests to the eye a disproportioned result, based on State’s areas, not actual votes.
At the beginning of this year, I decided to get involved in the Tableau Foundation Service Corps: a group of people volunteering for charities and no profit organizations using Tableau. At the time, I was really excited to join this project, as to me it represented a great opportunity to put my skills at the service of good causes.
And this has really been the case. Since then, I have been involved in a project that let me feel really helpful, and for which I am so grateful to who entrusted me with its implementation: the Humanitarian Response Map Review.
The output of the project is the dashboard below: basically a visual way for decision makers on emergency fields to quickly filter the multitude of maps created by various organizations and find the ones that suit their needs.