Box plots
A box plot chart shows the five statistics (minimum, first quartile, median, third
quartile, and maximum). It is useful for displaying the distribution of a scale variable and
pinpointing outliers.
Creating a simple box plot
- In the Chart Builder's Chart Types section, click the Box
plot icon.

The canvas updates to display a box plot chart template.
- Select one or more scale variables as the Columns variable.
Note: The statistic for a dot plot is Box plot. You cannot change this.
Additional features
- Columns
- Lists dataset variables that are available for the chart's x-axis.
- Split by
- Select a categorical variable that creates a table of charts, with a cell for each category in the Split by variable. Like grouping, split by variables essentially add more dimensions to your chart by displaying information for each variable category. See the topic Adding Split by variables for more information.
- Category order
- Select the order in which variable categories are sorted.
- As read
- Variable categories are presented as they appear in the dataset.
- Ascending
- Sort variable categories in ascending order.
- Descending
- Sort variable categories in descending order.
- Normalize data
- When enabled, this setting transforms data into a normal distribution which allows you compare data from multiple data sets or multiple columns. This settings creates 100% stacking for counts and converts statistics to percents.
- Primary title
- The chart title.
- Subtitle
- The chart subtitle, which displays directly beneath the chart title.
- Footnote
- The chart footnote, which displays beneath the chart.