Plot

Plot charts

What are they?

Scatterplots, dot plots, dumbbell charts and box and whisker plots are related types of visualizations that use dots to represent individual data points on one or two axes.

 

 


 

Scatterplots

Scatterplots show the relationship between two measures. Each dot is plotted based on their x and y values. They are useful for showing patterns and trends.

 

Find your platform components here:

Figma | Tableau

 


 

Dot plots

Dot plots represent data points along a single axis representing a single metric.

 

Find your platform components here:

Figma | Tableau

 


 

Dumbbell

Dumbbell charts are dot plots that show the difference between two sets of data points.

 

Find your platform components here:

Figma | Tableau

 

 


 

Box and Whisker

Box and whisker plots compare distributions of multiple data sets. They illustrate medians and percentiles and are useful when comparing that information.

 

Find your platform components here:

Figma | Tableau

 

 

Consider other chart types before using

Consider other chart types before using charts with this label. They might be appropriate, but less familiar charts are often misinterpreted—book office hours with the data viz team if you’re unsure.

 

 


 

Plot Chart Guidelines

Don’t forget to sort

Sort the chart to help show patterns. Sort by greatest to least (or vice versa) for one set of dots or sort by the difference between the dots. Avoid using a random order for the categories.

 

Don’t overcrowd the dumbbell

Show two dots, or at most three, in a dumbbell chart. Dumbbell charts generally show the differences between points and too many dots for each category makes the chart hard to read.

 

Use transparency and outlines to help show overlapping dots

When data points overlap, use transparent dots with outlines rather than solid dots to improve chart legibility.

 

Don’t use bubbles for metrics with small differences

It is difficult to see small size differences among circles. Consider using bubbles only if you expect differences among the data values to be large enough to be distinguishable. Also keep in mind that circles can’t be a negative size, so if you’re considering using bubbles for a third metric make sure that metric remains positive.

 

Don’t use a single box and whisker plot

If you have just a single data set, consider using a histogram or some other chart type. A simpler chart like a dot plot may work better than a box and whisker plot if medians and percentiles are not critical to the data story.