Box and whisker chart

A box and whisker chart consists of these elements:

• Minimum: Smallest non-outlier value in the dataset.
• First Quartile (Q1): Value below which 25% of observations fall.
• Median (Q2): Middle value of the dataset.
• Third Quartile (Q3): Value below which 75% of observations fall.
• Maximum: Largest non-outlier value in the dataset.
• Box: Interquartile range (Q1-Q3).
• Whiskers: Lines that extend from the box to the minimum and maximum values.
• Outliers: Optional. Data points outside the expected range, displayed as individual markers.

Use a box and whisker chart to:

• Compare the value distribution across categories or groups.
• Measure variability and assess data spread.
• Identify skewness and symmetry in a dataset.
• Detect outliers and unusual observations.
• Analyze performance trends, quality metrics, and experimental results.

To make any measure as numeric attribute, perform these steps:

1. Select Modeler > Relate
2. Select the table in Sources that contains the measure you want to convert.
3. Click Edit Column Properties.
4. Select the required measure column or columns.
5. Click Column Type and select Both.
6. Add an appropriate Hierarchy, if required.
7. Click Publish.

This graph shows an example of a box and whisker chart:

For details on how to create a box and whisker chart, see Creating a report by chart type.