Multiple pie chartsOur Opinion On Pie Charts

 …Or The Case For And Against The Pie Chart.

If there’s a list of controversial charts types in this world, then assume the pie chart makes the top of that list on a very regular basis.

So, what’s wrong with the pie chart? Surely there are other charts that do more damage in the world of data and design?

I’ll start by saying that we lean toward the ‘pie chart apologist school’. We don’t make any claims that it’s the best – but they’re not worst out there either. It’s not in our opinion a ‘bad chart’ (see dual axis line/bar chart, tables, waterfall chart) … they just have a few issues is all.

 Why we like them?

Simply because the circle is a pleasing symmetrical shape. It gives variation to the angled corners that most of the chart types we use in dashboards and reporting possess.

Why we don’t?

Overuse. Too many variables. Often hard to interpret and compare. 3D.

Organisations who ban the pie.

When we do data viz workshops, we usually get a universal groan across the audience when we get to the chart section and hit the pie chart slide.
It ranges from annoyance all the way through to violent rage after which we get run out of town by a pitchfork wielding mob.

We take a more gentle approach. Don’t ban the pie. Understand the pie. Know the pie.

I’d imagine that’s probably how Bruce Lee would talk about it. Likely, before a lightning punch to it’s throat.

Well no one at Datalabs has ever won a fight against a chart or person so our advice is don’t over use it and definitely don’t do it in 3D. We also suggest not doing any chart in 3D. Ever.

That’s it. Like all good data viz and design moderation is key.


One of the starter exercises in the workshop we run is to take a piechart with its values adding up to 100 per cent and revisualize it. The simple trick here is to see the pie as simply an enclosed shape that had been divided into sections. If we see it as just a shape, then changing it to a rectangle (stacked bar) or square (treemap) or any other shape variation (triangle – pyramid, trapezoid – or other possible chart junk) and dividing that shape into sections is simple.

Or for variation sake, try a donut chart (try not to explode it…). We use these because you get some room to put a like extra context in the middle. For example, an icon so we can remove a heading or label or maybe a arrow indicating positive or negative trend.Two Pie Chart Variations

To compare or not to compare the pie chart.

As a general rule we say use two stacked bar rather than two pie charts to compare discreet numbers. A major problem people have with pie charts is that the representative part is the outer edge. The actual inner wedge of the pie chart, as it attenuates towards the centre, isn’t the part that ‘contains’ data. Therefore, the outside of the circle is the only part that contains data, essentially making the wedges superfluous.

Possible exceptions to this rule is when a pie chart only contains two values; say, for gender splits across a countries. It would be okay to have multiple pie charts so see show and compare the split here.

Small Multiples pie chart

The verdict.

There are pros and cons to any chart type, including the humble, though controversial, pie. When it comes to when not to use a pie chart, there are too many scenarios to list! But when it comes to when to make use of a pie chart, we can happily say you’ll get the most out of pie charts when showing a smaller amount of vairables that collectively add to 100 per cent. But you also may fall victim to that pitchfork wielding mob that we’re incontrovertibly certain is still after us…

Well folks that’s our hat cast into the pie chart ring. Bring it on Twitter. 

All opinions expressed here are of a personal nature and do not necessarily represent those of Datalabs, it’s parent companies or subsidiaries.

Okay, guess we’re not quite ready for that then…Probably for the best really.

Want to learn what we know about pie charts or impale us with your company pitchforks? Then convince us everything will be fine when you book one of our workshops…

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Datalabs is a data design agency, specialising in visual strategy, consulting, training, analytics and software development.
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