Box Plot Calculator with Outliers

Create a box plot from numeric data

Paste one numeric column from a spreadsheet-style table or plain text. The calculator sorts the values, calculates the quartiles, and renders a box-and-whisker plot for quick distribution checks.

• Use one value per row, or separate values with commas, spaces, tabs, or line breaks.
• Check the five-number summary, Q1, median, Q3, IQR, whiskers, mean, and sample size.
• Use the outlier list to spot values beyond the Tukey fences.

Understand quartiles, IQR, and Tukey outliers

The box shows the middle half of the data from Q1 to Q3. The median line marks the center, while the whiskers extend to the smallest and largest values inside the 1.5 IQR Tukey limits.

• A wide box means the middle values are more spread out.
• A shifted median can suggest skew in the distribution.
• Listed outliers may be errors, rare events, or meaningful extremes.

Compare skew and unusual values

The sample data includes one high value, 48, compared with the main group of values between 12 and 31. That makes it useful for checking whether the Tukey outlier logic, whiskers, and median placement match your expectations before using your own dataset.