![]() The list of arrays that we created above is the only required input for creating the boxplot. It takes three arguments, mean and standard deviation of the normal distribution, and the number of values desired.Ĭollectn_1 = np.random.normal(100, 10, 200)Ĭollectn_2 = np.random.normal(80, 30, 200)Ĭollectn_3 = np.random.normal(90, 20, 200)Ĭollectn_4 = np.random.normal(70, 25, 200) A box and whisker plot is a representation of statistical data that displays information about the distribution of the values. We use the () function to create the fake data. The whiskers go from each quartile to the minimum or maximum. A vertical line goes through the box at the median. The center line in the box shows the median for the data. ![]() See the 'Comparing outlier and quantile box plots' section below for another type of box plot. It is one of the easiest ways to visualize the meaning o f the range of dataset. Box Plot Chart: The box plot is a type of chart that describes a group of numerical data. The box plots are also known as the Whisker diagram. ![]() A box plot consists of two parts, a box, and a set of whiskers. A box plot is perhaps the easiest method for visualizing a dataset without listing the individual values. In a box plot, we draw a box from the first quartile to the third quartile. The term box plot refers to an outlier box plot this plot is also called a box-and-whisker plot or a Tukey box plot. The box plot, also referred to as a box and whiskers plot, was introduced in 1970 by American statistician, Dr. A box plot which is also known as a whisker plot displays a summary of a set of data containing the minimum, first quartile, median, third quartile, and maximum. ![]()
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