datawrapper featured image

Data visualization tools: Datawrapper

Data visualization tools: Datawrapper

Let’s not beat around the bush in this blog post. If you are writing articles online and need to quickly insert beautiful, interactive charts, maps or tables, Datawrapper is the tool you are looking for.

datawrapper

The Datawrapper team, based in Berlin, built an amazing product suitable for everyone who wants to tell stories using data. The free tier is very generous – unlimited visuals, live-updating charts, easy embedding, responsivity… The professional solution is expensive but mainly aims at newsrooms and journalists, removing the Datawrapper attribution and allowing to create print-ready graphics.

No coding skills are required, you can simply copy and paste your data, upload CSV files, or link to a URL or Google Sheet which allows live-updating charts. Obviously, you are limited to a certain set of possible chart types and designs, but the talented design team (led by Lisa Charlotte Rost) has ensured that all the available options and color schemes are well-crafted and elegantly designed.

You can find plenty of examples at the Datawrapper website, but of course a blog post about this tool would not be complete without an embedded example. So let’s try to create our own chart of, let’s say, the evolution of the price of Brent Crude Oil since January 2019. Uploading the data, as a CSV file, works very smoothly. Datawrapper automatically recognizes the type of data in each column, and support for different localizations is provided out of the box:

datawrapper upload step 2

The tool is sufficiently intelligent to suggest the best chart type, and makes some pretty good default decisions regarding axes and grid lines (taking into account Tufte’s guidelines to maximixe data-ink ratio):

datawrapper step 3

The next steps allow you to quickly finetune any other parameters you would like to change: colours, axes, grid lines, linestyles, hover labels, title, description, source links,… The final result can be downloaded as a PNG image, shared as a link, or simply embedded in your blog post:

It’s magic, it’s simple, and it’s so much fun! Did I already mention I am a fan?

Read more:

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.

Avoiding abbreviations

People are lazy. Make it as easy as possible for them to see what you are trying to show. There are tons of ways to reduce mental noise in your charts, but one of the easiest is avoiding abbreviations.

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Three-panel spread: the Nature magazine cover for 23 July 2026, featuring a detailed pencil-and-ink illustration of a rhinoceros beetle alongside drafting tools; a magazine page for the article 'Three Tips to Avoid AI Image Mistakes in Science' with an abstract red-and-blue line illustration of a hand and pencil; and a painted illustration of a hornbill's head with two circular inset diagrams showing colorful cross-sections of its skull anatomy.

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Gridlines are better than axes

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