ECharts Boxplot Distribution
A boxplot (a.k.a. box-and-whisker) showing the distribution of a metric across multiple categories side-by-side. ECharts computes the five-number summary (min, Q1, median, Q3, max) via its `dataTool.prepareBoxplotData` helper from raw arrays, then renders each box with its whiske
Template details
- chart
- boxplot
- distribution
- statistics
- echarts
When to use this template
This visualization clearly reveals the spread, central tendency, and outliers of a quantitative metric across distinct categories. Analysts use it to compare variations between groups, identify potential issues in specific segments, and understand the overall consistency of a process or outcome.
- Datasets with one quantitative variable for distribution analysis.
- Data grouped by one or more categorical variables for comparison.
- When comparing the full distribution, not just means or medians, is critical.
- Identifying skewness, spread, and potential outliers within groups.
- Raw, unaggregated data suitable for statistical summary computation.
- Moderate number of categories (e.g., 5-20) for effective side-by-side comparison.