Box Plot (Statistical Box & Whisker)
Statistical box and whisker plot displaying five-number summaries (min, Q1, median, Q3, max) alongside outlier anomalies.
◆Calculating Scaled Y Coordinates for Quartiles & Whiskers
Map numerical latency milliseconds into SVG viewbox units using a linear scaling function: svgHeight - (val / maxScale) * (svgHeight - padding).
const scaleY = (val: number) => svgHeight - (val / maxScale) * (svgHeight - 40) - 20;◆Drawing Interquartile Ranges (IQR) and Median Dividers
Render a rounded rect from yQ3 to yQ1 with fillOpacity={0.3}, topped by a crisp 2.5px white horizontal line at yMed.
A Box Plot (Statistical Box & Whisker) is ideal for developers and designers who need to display data clearly and effectively. Use this chart type when:
- ✓Building analytics overview pages with multiple metrics
- ✓SaaS product dashboards showing user activity
- ✓Business intelligence reporting screens
- ✓Admin panels with KPI summaries
What is a box plot (box and whisker plot) and what does it show?
A box plot (or box and whisker plot) visually summarizes a data distribution using five key numbers: minimum, first quartile (Q1, 25%), median (Q2, 50%), third quartile (Q3, 75%), and maximum, alongside outlier points beyond 1.5x the interquartile range (IQR).
How do you make a box plot in React (recharts box plot)?
Because Recharts does not feature a single native <BoxPlot> tag, developers render custom SVG elements or use a ComposedChart with Bar and ErrorBar components to draw the IQR boxes, median lines, and whisker caps.
Why use a box plot over a standard bar chart with averages?
A standard bar chart showing only the mean (average) hides data skew and extreme outliers. A box plot reveals whether your metric (such as server latency or user session duration) has long-tail skewness or high variability.