Description: The Box Plot is a standardized way of displaying the distribution of data based on a five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum. This type of visualization is characterized by its ability to show the central tendency, variability, and potential outliers of a dataset. Box plots utilize a box to represent the interquartile range (IQR), which contains the middle 50% of the data, while the lines extending from the box, known as “whiskers,” indicate the range of the data outside the IQR. Box plots are especially useful in contexts where a clear comparison between different data groups is required, allowing users to discern relevant information efficiently. Their intuitive design and ability to communicate information visually make them valuable tools in data visualization, both in academic settings and in the business realm.
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