Box Plot(Box and Whiskers Plot): What does it tell you?

Box Plot (also called as Box and Whiskers Plot) is a very popular and widely used plot for visualizing data in the field of Statistics and Data Analysis. In comparison with other graphical techniques, Box Plot not only shows the distribution/spread of data but also indicates the minimum and maximum values, quartiles, the symmetry and skewness of the data. Box Plot is also used to detect outliers. In Machine Learning, you might have used this plot in Exploratory Data Analysis.

Let us understand more about it -

This article includes:
1.What is Box Plot?
2.How to read a Box Plot?
3.Comparing Box Plots
4.Advantages & Disadvantages
5.Plotting Box Plot using Python
6.Conclusion
7.Other Sources

1.What is a Box Plot?

Box Plot is a graph/plot which is used to depict the important statistics such as minimum value, maximum value, median, quartiles e.t.c from the given data graphically. It is a standardized way to display the distribution of any numerical data. In Explanatory Data Analysis, Box Plot is often used to show the distribution of numerical data along with the symmetry and skewness of the data.