Box and Whisker Plot Maker

Enter your dataset values and get a complete box and whisker plot with all key statistics. Input your data values (comma-separated or one per line) and the tool calculates your minimum, Q1, median (Q2), Q3, maximum, IQR, and flags any outliers using Tukey's method. Results render as a visual box plot chart alongside a full summary table.

Paste or type your numeric data. Non-numeric and empty values are ignored.

Label shown on the chart for this dataset.

Tukey's method flags values below Q1 − 1.5×IQR or above Q3 + 1.5×IQR as outliers.

Results

Median (Q2)

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Minimum

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Q1 (25th Percentile)

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Q3 (75th Percentile)

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Maximum

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IQR (Interquartile Range)

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Outliers Detected

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Data Points (n)

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Box and Whisker Plot Summary

Results Table

Frequently Asked Questions

What is a box and whisker plot?

A box and whisker plot (also called a box plot) is a standardized way of displaying a dataset's distribution based on a five-number summary: minimum, Q1, median, Q3, and maximum. The 'box' spans Q1 to Q3, the line inside the box marks the median, and the 'whiskers' extend to the minimum and maximum (excluding outliers when Tukey's method is applied).

How are quartiles calculated?

The dataset is first sorted in ascending order. Q2 (median) is the middle value. Q1 is the median of the lower half of the data (below Q2), and Q3 is the median of the upper half (above Q2). If the dataset has an even number of values, the median of each half is the average of the two middle values.

What is the IQR and why does it matter?

The Interquartile Range (IQR) is Q3 minus Q1. It represents the spread of the middle 50% of your data and is a robust measure of variability that is not affected by extreme values or outliers. A larger IQR indicates more spread in the central data.

How does Tukey's method detect outliers?

Tukey's method defines outliers as any data point that falls below Q1 − 1.5 × IQR or above Q3 + 1.5 × IQR. These fences are called the lower and upper fences. Points outside these fences are flagged as outliers and are typically plotted as individual dots beyond the whiskers.

What is the difference between the whisker ends and the min/max?

When outliers are shown, the whiskers extend to the actual minimum and maximum values in the dataset. When outliers are excluded (Tukey's method), the lower whisker extends to the smallest value still within the lower fence (Q1 − 1.5×IQR), and the upper whisker extends to the largest value within the upper fence (Q3 + 1.5×IQR).

How many data points do I need to create a box plot?

You need at least 5 numeric data points to generate a meaningful box and whisker plot. With fewer than 5 values, quartile calculations become unreliable. Most statistical analyses work best with 20 or more data points.

Can I use this tool to compare multiple datasets?

This tool currently analyzes one dataset at a time and displays its five-number summary with outlier detection. For side-by-side comparison of multiple datasets, you can run each dataset separately and compare the summary statistics shown in the results table.

What format should my data be in?

Enter numeric values separated by commas, spaces, or new lines — for example: 12, 15, 19, 22, 28. The tool automatically ignores empty cells, text labels, and non-numeric entries, so you can paste directly from a spreadsheet or CSV file.

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