The interquartile range (IQR) is a statistical measure that assesses the spread or variability within a data set.
It is calculated as the difference between the third quartile (Q3) and the first quartile (Q1) of a dataset, representing the middle 50% of the data.
The IQR is robust against outliers and extreme values, making it useful for summarizing the central tendency and dispersion of data, especially in skewed or non-normally distributed datasets.
It is a valuable tool in descriptive statistics and box-and-whisker plots, aiding in the analysis and comparison of datasets.