In a box plot, the box represents the middle 50% of the data, showing the interquartile range and the dataset's central tendency.

A data distribution box, commonly seen in a box-and-whisker plot, visually summarizes a dataset using its five-number summary: minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum . The box itself extends from Q1 to Q3, representing the interquartile range (IQR), which contains the central 50% of the data . A line inside the box marks the median, dividing the dataset into two equal halves . Whiskers extend from the box to the minimum and maximum values within a defined range, showing the spread of most of the data . Data points outside the whiskers are considered outliers and are plotted individually . Box plots are particularly useful for:

• Visualizing the spread and skewness of the data
• Identifying outliers quickly
• Comparing distributions across multiple groups By examining the box and whiskers, you can quickly assess the central tendency, variability, and symmetry of a dataset without needing to look at every individual data point . This makes box plots a powerful tool for exploratory data analysis and comparing multiple datasets at a glance.