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Five-Number Summary & Box Plot Calculator

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Calculate Minimum, Q1, Median, Q3, Maximum, and IQR with Tukey outlier detection and SVG box-and-whisker visualization.

Raw Data

Separate values by commas, spaces, or lines.

Five-Number Summary

Min
12
Q1
18
Median
23
Q3
28
Max
45

IQR (Q3 - Q1): 10.0 | Outliers: 45 (High)

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Descriptive Statistics & Summary Suite

Direct In-Browser Handoff

Chain this tool with complementary private browser utilities for a complete zero-server workflow:

Interquartile Range (IQR) & Outlier Detector

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CSV Dataset Column Profiler & Type Inferrer

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Descriptive Statistics Dataset Calculator

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Helpful Examples

Sample Dataset

12, 15, 18, 20, 22, 24, 25, 28, 30, 45

10 data points

How to Use the Five-Number Summary & Box Plot Calculator

Exploratory data analysis calculator. Generate the classic John Tukey Five-Number Summary for any dataset: Minimum, First Quartile (25th percentile), Median (50th percentile), Third Quartile (75th percentile), and Maximum. Detects mild and extreme statistical outliers with a rendered SVG box-and-whisker plot.

Privacy & Data Processing Notice

No user data leaves your browser. Computation is executed entirely on your device. We do not store, view, or transmit your inputs over our network. Your computation remains on your personal machine.

Frequently Asked Questions

How are outliers defined in a box plot?

Points located beyond 1.5 * IQR below Q1 (lower fence) or above Q3 (upper fence) are classified as statistical outliers.

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