Every chart has a width and a height, either in pixels on a screen or in physical dimensions on paper or on a projection screen. And those dimensions determine what charts can contain: bigger charts can contain more data, and more and bigger text elements. But it is not only size that matters: the ratio between the width and height of a chart are at least as important for what a chart can show.

“Natural” aspect ratios

Certain chart types tend to grow to a wide layout, while others will quickly evolve to a tall layout.

Bar charts with vertical bars will tend to be wider than high, unless they show only a couple of values. Horizontal bar charts grow in the vertical direction, and have a tendency to be higher than wide.

Source: Maarten Lambrechts, CC BY 4.0

Source: Maarten Lambrechts, CC BY 4.0

Another example of an inherent aspect ratio is the high layout of slope charts. Slope charts are line charts that show values for only 2 moments in time, so they require only a limited horizontal space. They do need enough vertical space to show the evolution between the 2 moments in time, especially when they contain a lot of time series.

Source: Maarten Lambrechts, CC BY 4.0

Source: Maarten Lambrechts, CC BY 4.0

And of course, a pie chart is a circle and will occupy a more or less square space in a grid based design (see Grid and arrangement).

Source: Maarten Lambrechts, CC BY 4.0

Source: Maarten Lambrechts, CC BY 4.0

So if you know the dimensions and the aspect ratio of the space assigned to a visualisation in a publication, this can help you in choosing a chart type that fits the aspect ratio of the available space.

Of course the reverse is more ideal: choose a chart type that fits best the data and the message you want to convey, and reserve a space in your design that has an aspect ratio that fits the chosen visualisation.

Line chart aspect ratios

One chart that is especially sensitive to differences in aspect ratios are line charts.

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A wide layout, with a high width to height ratio, will flatten trends in time series. A high layout, with a low width to height ratio, will do the reverse and stress or even dramatise trends in the data.

A wide and flat layout suggest slow trends or even flat lines. Source: Maarten Lambrechts, CC BY 4.0

A wide and flat layout suggest slow trends or even flat lines. Source: Maarten Lambrechts, CC BY 4.0

Narrow and high designs exaggerate trends. Source: Maarten Lambrechts, CC BY 4.0

Narrow and high designs exaggerate trends. Source: Maarten Lambrechts, CC BY 4.0

So what is a “good”, “correct” or “honest” aspect ratio for line charts? One often cited rule, called “banking to 45 degrees”, says that the average slope of the lines on a chart should be 45 degrees.

This rule stems from a paper dating back to 1988: But the topic of the paper was how well people were able to compare the slopes of two lines on a chart. So it was not about extracting insights from a single time series, or about seeing the big picture in a line chart with many time series plotted.

On top of that, the researchers did not include average slopes lower than 45 degrees in their study. A follow up study actually showed that people performed better with lower average slopes.