Different units, different patterns

In the last few days, I thought a lot about choropleth maps: these maps where regions are filled with colors that represent a certain value, like unemployment, life expectancy, votes for a certain party. On Tuesday, I published an article explaining what to consider when creating choropleth maps. Today, nothing makes more sense than to create one for this week’s Weekly Chart:

Yes, it’s true: I copied this map. If you’ve read my “What to consider” article, you noticed it right at the bottom of the map, where I give good examples of choropleth maps. The original map is by the super talented peeps at Berliner Morgenpost, a local newspaper here in Berlin, a few kilometers away from the Datawrapper office. They showed the average annual population growth in all European municipalities, which is a crazy high level of detail! Datawrapper doesn’t offer a municipalities map of Europe, so I decided to show the data in the so-called NUTS-3 regions; still a pretty small unit.

Different patterns become visible depending on the unit you choose, and the differences are fascinating. For comparison, here are five maps that show the same data with the same color palette¹ but with a decreasing level of detail. We start with the map by the Berliner Morgenpost; the other four maps I created with Datawrapper:

Most of the time, we can’t choose: We only get the data in one specific unit. But if we can choose, we should be aware that the level of detail can have a big impact on the statement we want to make. And we should remind ourselves regularly: There’s always more nuance in reality than a map or chart can show us.

If you’re not aware of their work, make sure to check out the Interactive team and their portfolio at the Berliner Morgenpost. I see you again next week!