Winners and losers
New analysis has for the first time shown the impact of Treasurer Joe Hockey's fiscal policies in every suburb of Australia, revealing a compelling story of winners and losers based on geography and political leanings.
Choropleth maps are often used and even more often abused as they "… are based on statistical data aggregated over previously defined regions…" thus creating visual bias. In an ideal world the data in this example would be represented in a isarithmic map "…in which region boundaries are defined by data patterns." (ref), however such dataset is seldom available.
We can accept this inherent bias as long as our conclusions drawn independently from the dataset and the visualisation align.
Choropleth maps will remain the go to for many jobs, especially quick turnaround visualisations such as this example.
There are however some fantastic new methods to experiment with, especially for projects with longer lead time, such as elections. Here is one of my favourite article on the topic from the nytimes.com