Can you use Excel to create a powerful chart?

Spreadsheet tools such as Microsoft Excel or Numbers might not be the first thing on your mind when considering data visualization tools, but they can be pretty solid choices to build data visuals. Don’t let anyone convince you that using Excel to create data visuals is unprofessional. In my practice as an information designer I have created many charts in both Excel and PowerPoint, in particular for clients who wanted some degree of flexibility in modifying the visuals themselves.

Spreadsheet tools are more powerful than you might think

Spreadsheet applications allow us to create almost any type of chart in the family of bar charts, line charts and pie charts – including stacked bar charts, area charts, and so on. But even more ‘exotic’ alternatives such as treemaps, sunburst diagrams, candlestick charts, radar charts and waterfall charts are available.

The strength of spreadsheet tools lies more in building the charts than in polishing their design. We could use Excel to create the basic shapes that will make up the core of the data visual, and then export them to another, more design-oriented tool such as PowerPoint or Adobe Illustrator to further modify the colours, annotations and layout – or to combine multiple graphs into a single chart. Nevertheless, most of these things are possible in spreadsheet tools as well, although they might require a bit more tinkering and clicking around.

Move away from the defaults

The challenge in these situations is to move away from the default options. It takes some time and patience, and maybe some visual trickery, but it pays off!

This is how a default visual might look like: it has no visual hierarchy, boring default colors, the legend takes up a lot of space, and the numbers are hard to read.

Groundwater use by agriculture in Flanders

In the reworked visual below we changed the orientation of the bar chart from vertical to horizontal, we chose a better colour scheme, and we used direct labelling to remove the legend and gridlines. The end result contains exactly the same data as the default chart, but presented in a much clearer and more structured way.

Reworked visual of the groundwater bar chart

Both of these charts were created from scratch using nothing but Microsoft Excel. Creating powerful charts is not about the tools you use, it’s all about applying the right principles!

If you want to know more about visualizing data in the right way, you can check out the other videos in this series. Or I invite you to read my book, Powerful Charts, that will give you actionable insights and practical guidelines to create data visuals that truly engage and inspire your audience.

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.

The uncomfortable relationship between scientific illustrations and AI

Scientific journal Nature devoted the headline of its 23 July 2026 issue to “the human art of scientific illustration in the age of artificial intelligence”. Of course, that sparked my attention.

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Review: Info We Trust

Info We Trust is an ambitious, visually stunning book that sits somewhere between philosophy, information design, and a collection of visual essays.

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Gridlines are better than axes

Almost always, gridlines are better than axes. Vertical axes are the default option, and they have been around for centuries, so they are very well known. But they also have downsides. My biggest problem with vertical axes is that they’re often so far away from where the action is really happening.

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Review: A History of Data Visualization and Graphic Communication

Michael Friendly and Howard Wainer clearly love graphs. But A History of Data Visualization and Graphic Communication isn’t just about graphs — it’s about the stories behind them: the context, the people, the new measurements that made them necessary, and the discoveries they enabled.

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Report visuals don’t have to suck

Discover how CREG, Belgium’s electricity regulator, turns complex data into clear and engaging visuals. From smart annotations to small multiples and uncommon chart types, their Monitoring Report shows how thoughtful data visualization makes technical reports easier to read and understand.

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