Vega-Lite Box Plot
A boxplot with full Tukey-style five-number summary (min, Q1, median, Q3, max) plus per-group outlier dots — and the entire thing is one line: `mark: 'boxplot'`. Vega-Lite computes every quartile internally from the raw values, draws the box, whiskers, median rule, and outlier ci
Template details
- chart
- boxplot
- distribution
- stats
- vega
- vega-lite
When to use this template
A box plot quickly reveals the central tendency, spread, and skewness of a quantitative distribution, making outliers immediately apparent. Analysts use it to compare these distributional characteristics across different categories or groups, identifying variations in performance, risk, or behavior.
- One quantitative variable for distribution analysis.
- One or more nominal or ordinal variables for grouping.
- Data where spread, median, and quartiles are key insights.
- Identifying outliers within distinct categories.
- Comparing distributions of a metric across several groups.
- Datasets with moderate group cardinality (too many groups become cluttered).