What is used to represent a distribution box

A distribution box is represented using a box plot, also known as a box-and-whisker plot.A box plot is a graphical tool used to display the distribution of numerical data through its quartiles, highlighting the central tendency, spread, and potential outliers of a dataset . The main components of a box plot include:Box: Extends from the first quartile (Q1) to the third quartile (Q3), representing the middle 50% of the data, also called the interquartile range (IQR), .Median Line: A line inside the box indicates the median (Q2), dividing the dataset into two equal halves .Whiskers: Lines extending from the box to the minimum and maximum values within 1.5 times the IQR, showing the range of most of the data .Outliers: Individual points plotted beyond the whiskers to indicate extreme values that differ significantly from the rest of the dataset . Box plots are particularly useful for comparing distributions across multiple groups, as they provide a compact summary of data symmetry, skewness, and variability . They can be drawn either vertically or horizontally and are non-parametric, meaning they do not assume a specific underlying data distribution . By using a box plot, analysts can quickly assess the spread, central tendency, and presence of outliers in a dataset, making it a standard tool for exploratory data analysis and statistical visualization .