# Datawrapper — pie charts, and stacked column charts Two "Data vis do's & don'ts" posts by Lisa Charlotte Muth, supplied as PDFs and read 2026-08-05. Answers queue rows 1 and 6. ## "What to consider when creating pie charts" (3 Jan 2018) `blog.datawrapper.de/pie-charts/` Opening line, which is the useful one for us: > Pie charts are great to show how 100% divide up into a few shares. And the positive case, which we should keep quoting when people accuse us of banning the form: > Pie charts work best for values around 25%, 50% or 75%. It's easier for > readers to spot these percentages in a pie chart than in a stacked bar or > column chart. Then the limits, both of which are our published sin: > Pie charts are not the best choice if you want readers to compare the size of > shares. That's especially true if the differences between the shares are > small. > Pie charts work best if you only have a few values – five max. Our sample pie has eight. Cited on `too-many-pie-slices`. **Caveat for backlog entries 2 and 3.** This post does *not* say in so many words that a pie's parts must be mutually exclusive and sum to 100% — so it can't be cited for the multi-select survey case as I'd hoped. What it does give is the premise those sins rest on: > One pie chart can only show one total and its shares. That's enough to support "there must be a whole," and nothing more. The backlog notes now say exactly that rather than implying a stronger claim. Also flags Robert Kosara's "Understanding Pie Charts" as a "great research-based explanation of how people read pie charts" — independent support for our `eagereyes` note (claim V7). URL not captured; queued. ## "What to consider when creating stacked column charts" (13 Feb 2018) `blog.datawrapper.de/stacked-column-charts/` The sentence backlog entry 6 is built on: > It's hard for readers to compare columns that don't start at the same > baseline. And the design guidance: > Bring the most important value to the bottom of the chart and use color to > make it stand out. Your readers can compare values easier with each other if > they have the same baseline. Useful nuance I hadn't accounted for: a 100%-stacked chart has **two** usable baselines, not one — > You will gain a second baseline at the top of your chart where you can place > the second most important category in your data. So the sin is sharper than "only the bottom is readable": everything *between* the two baselines floats. Worth writing the page that way. Also: "Make sure that you include all parts of the total in your charts – and only parts of the total." Pairs with the Economist's rainbow-stack example, where a partial selection of countries was stacked as if it were the whole.