This visualization shows how varied well-being measures can be within a country and consequently how country-wide statistics can over-simplify. While it’s convenient to characterize whole populations by talking about national averages, we are often masking a lot of important complexity. This visualization attempts to make understanding this complexity approachable by allowing users to view the overall distribution of different well-being indexes as well as let them focus on a particular area. Additionally, being able to select one index and filter based on another allows you to see how the correlation between indexes is distributed.
It is important to understand that there is significant inequality in well-being within countries and I think this visualization let’s people discover that by exploring. There are also several “case studies” at the bottom of the page which focus on a particular region and have some comments. These also provide the user with examples on how to read and interact with the graphic.
From the Judges: The interactive winner “Scattered Well-Being” impressed us with a reduced, yet rich visualization of regional differences in Well-Being in Mexico. This interactive cartogram appropriately scales regions by number of inhabitants (rather than mere geographic area, as on a choropleth map) and invites deep exploration of the underlying variables income, education, housing, health, jobs and safety across Mexico. Despite its depth of information, the application is visually reduced and snappy in performance. Overall, a great way to represent large regional data sets in a digestible and interesting form. Additionally, more complex data is effectively revealed through drilling down into data.