How to Read a Box Plot: A Powerful Guide to Medians, Whiskers, and Outliers
Box plots (also called box-and-whisker plots) are powerful tools for visualizing distributions, spotting outliers, and quickly understanding how your data is spread. Here’s how to decode one. Invented by statistician John Tukey in the 1970s, box plots — also known as box-and-whisker plots — offer a compact way to visualize the distribution of data. Whether you are analyzing website behavior, survey results, or scientific measurements, a box plot helps you quickly see the center, spread, and any unusual values in your dataset. In this post, we will walk you through how to read a box plot step-by-step using real sample