Boxplots summarize the distribution of a numeric measure per category, showing the median, interquartile range, and outliers in a single mark. Use them to compare spread and skew across groups rather than just averages.Documentation Index
Fetch the complete documentation index at: https://cubed3-docs-cub-2416-update-semantic-snowflake-semantic-vie.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Variant
Box-and-whisker
One dimension on the X axis groups the data into categories. One measure on the Y axis provides the raw values. The chart computes the distribution statistics internally.Reading a boxplot
| Element | Description |
|---|---|
| Box | Interquartile range — 25th to 75th percentile |
| Center line | Median (50th percentile) |
| Whiskers | Extend to min/max within 1.5× the IQR |
| Points | Values beyond the whiskers (outliers) |
Data structure
Boxplots require raw, row-level data — each row is one observation. Do not pre-aggregate before using a boxplot; the chart engine computes the distribution itself.- X axis — the grouping dimension (e.g. product category)
- Y axis — the measure to distribute (e.g. sale price)