Report visuals don’t have to suck

Lots of reports have boring, ugly visuals. Or, even worse, visuals which are really, really hard to understand. The reports by CREG, the Belgian Federal Commission for Electricity and Gas Regulation, are completely different. For example, just browsing through the Monitoring Report — their yearly study on the functioning and price evolution of the Belgian wholesale electricity market — you can immediately see that it’s full of really thought-through visuals and graphs. There are three key principles they apply to bring their visuals to the next level.

Principle 1: add helpful annotations

Sometimes it’s in the small things, like adding a simple arrow to show that the yellow area is equal to the gray area between the grid load and the total load:

The total load and grid load in these curves have very strong seasonal patterns, making it hard to spot whether the delta between them also has seasonal patterns or not. Duplicating that delta at the bottom of the graph — nicely aligned with the horizontal axis — is the best way of making such patterns visual. In this case, there is some seasonality (the delta is slightly lower in winter), but much less pronounced than the seasonal patterns of the loads.

Principle 2: use small multiples to untangle complicated stories

When charts feel complicated, it’s often because they try to explain to many things at once. Different key stories in the data are fighting for our attention. Rather than just eliminating information to make a chart simpler, a helpful technique is to break it up into multiple smaller copies, each of which tells a single part of the story: a ‘small multiples’ approach.

The visual above shows the evolutions for four different countries over a 10-year time period in a small multiples arrangement. Comparing the exact values for the different countries side-by-side is a bit harder, because the bars are a bit further apart from each other than in a traditional clustered bar chart. But comparing the patterns between countries is now easy to do, and that’s the main objective of this chart — to show how different the electricity flow is among Belgium’s different borders.

Principle 3: don’t be afraid to use less common chart types

Not everything has to be a bar, line or pie chart. There are 100+ chart types available to us (if you want an extensive overview, you could check out the Data Viz Project or Data Visualisation Catalogue). Different chart types of course have similar things they can do, but each chart type does have its own strengths and weaknesses when it comes to highlighting certain aspects of your story. If you have an important key message to share, it’s worth considering a few different chart types and choosing the one that shows your message the most clearly.

In the CREG report, you will find bump charts, variable width bar charts (or Marimekko charts if you want to sound fancy), heatmaps, slopegraphs, waterfall charts, and ridgeline plots sprinkled in between the more traditional line and scatter plots. These more exotic charts are added on purpose, with a clear goal in mind, not just to make the report a little bit more fancy (although that is also an effect of chart variety: less boring reports).

Benefits of using better charts

The result of all of this? A 150-page report that doesn’t feel like a chore to read. There is variety, and everything is well explained. Thanks to the clear titles, subtitles and annotations every visual is its own self-contained mini-story — it’s not always necessary to read all the text before and after the figure to understand what’s going on. And most important of all: the graphs are clear and transparent. CREG gets its message across flawlessly, without being hampered by chart clutter, noise, or unnecessary complications. A clear, correct ánd beautiful presentation of the information — that’s what we should all strive for!

Disclaimer

I was (unfortunately!) not involved in the creation of these beautiful graphs. All visuals were created by Senior CREG Advisor Nico Schoutteet. You can read the report on the CREG website.

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Side-by-side comparison of two bar chart versions showing the number of inhabitants per paid political mandate across EU27 countries, ranked from lowest to highest. The left version labels countries with two-letter abbreviations (FR, CZ, SI, etc.), while the right version uses full country names (France, Czechia, Slovenia, etc.). Both show identical data: France has the lowest ratio at 134 inhabitants per mandate, rising through the EU27 average of 385 (highlighted in dark blue), up to Latvia with the highest ratio at 2,570. Source: European Committee of the Regions and VRT NWS.

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