Box Plot Maker

Create box and whisker plots to visualize the distribution of your data. Box plots display the five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum.

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Understanding Box Plots

A box plot (also called a box-and-whisker plot) is a standardized way of displaying the distribution of data based on the five-number summary. It provides a visual summary of the central tendency, spread, and skewness of a dataset.

Components

  • Box: Spans from Q1 (25th percentile) to Q3 (75th percentile)
  • Median line: Horizontal line inside the box at the 50th percentile
  • Whiskers: Lines extending to show data range (typically 1.5 × IQR)
  • Outliers: Individual points beyond the whiskers

Interpreting Box Plots

  • The box contains 50% of the data (the interquartile range)
  • A median closer to one edge suggests skewness
  • Longer whiskers indicate more spread in the tails
  • More outliers may indicate unusual observations or non-normal distribution

When to Use Box Plots

  • Comparing distributions across groups
  • Identifying outliers and extreme values
  • Visualizing the spread and skewness of data
  • Summarizing large datasets efficiently
Create your box plot!