Descriptive statistics, or summary statistics, are simple values associated with a set of data, such as the mean, median, standard deviation, minimum, maximum, and quartile values. These values describe the location and spread of a dataset in various ways. The mean and median are measures of the center (location) of the data, and the other values measure the spread of the data from the mean and median. These statistics are vital in understanding a dataset and form the basis for many techniques for analysis.
In this recipe, we will see how to generate descriptive statistics for each column in a DataFrame.
Getting ready
For this recipe, we need the pandas package imported as pd, the NumPy package imported as np, the matplotlib pyplot module imported as plt, and a default random number generator created using the following commands:
from numpy.random import default_rng...
rng = default_rng(12345)
