Data visualization: formatting tips for transforming your dot plots

From dot plot to dumbbell chart.

Image by Freepik

One common method for visualizing numerical data is the dot plot, in which we can represent results for different groups in one line. They are a cleaner alternative for grouped bar charts because of the limited ink needed for encoding. Instead of using the lengthy bar, we can represent the data with a small dot. Additionally, because the value is encoded with position, the scale doesn’t have to start at 0. This allows zooming into the most applicable range and highlights the differences.

While the dot plots are useful for displaying data, they can sometimes be confusing or difficult to interpret, especially when poorly formatted. I worked on the PEW Research dot plot this week and enhanced it while transforming it into a dumbbell chart.

First, let’s take a look at the original visualization, where the answers to three questions are divided into two charts. Each chart focuses on the different categories of respondents — the top shows the differences between men and women, while the bottom focuses on the differences between parents. The visualization layout is minimalistic to the point that it makes it hard to read. Data points blend in with the background and secondary information, which turns this piece into a poorly aligned…