Enter numbers separated by commas or newlines for each group
A box plot (also called a box-and-whisker plot) is a statistical chart that displays the distribution of data through its five-number summary: minimum, Q1, median, Q3, and maximum. It reveals central tendency, spread, and outliers at a glance.
The box spans from Q1 to Q3, with a line at the median. The box height represents the interquartile range (IQR = Q3 - Q1). Whiskers extend to the farthest data points within 1.5\u00d7IQR from the box edges. Points beyond the whiskers are plotted as individual outliers.
Box plots are widely used in quality control, experimental data analysis, and A/B test comparisons. They are especially useful for comparing distributions across multiple groups, such as test scores by class, income by region, or product ratings.
Box plots focus on the five-number summary and outliers, ideal for comparing multiple groups. Histograms show the frequency distribution shape, ideal for analyzing a single group's distribution pattern.
Not necessarily. Outliers are statistically extreme values that may represent genuine rare events or data entry mistakes. Always consider the business context when interpreting outliers.