Can you combine column charts and cumulative lines?

It’s not something I would have thought of myself, but a German magazine recently tried it – and ever since, I’ve been wondering whether this is a clever idea or actually a very bad one. ChatGPT kindly translated the chart for me; the translation isn’t entirely accurate, but that’s not the point. What matters here is the visualization approach. In short, the data is about partnerships between the public sector and private investors.

A quick reminder: the purpose of data visualization is to make a subject easier to understand. Ideally, it also carries an intention – something that sharpens our perspective, changes our opinion, or even nudges us toward action. So, what does this visualization achieve?

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Which Visualization for Which Data?

Communicating data, information, and the insights derived from them is a key skill. Data visualizations should help the audience grasp concepts more quickly, making it essential to choose the type of visualization that conveys the message most effectively. Even though Microsoft Excel might suggest a pie chart, it’s often not the best option, as you can see on the left!

At university and in my job, I constantly work with data visualizations. To save everyone’s nerves, I’ve created a handy overview, inspired by the work of A. Abela:

The overview is continuously updated by me. If you’re interested, feel free to sign up for my newsletter and get instant access to the overview (plus a monthly update).