Generating the range of a dataset

The range also helps us understand the spread of a dataset or how far apart the dataset’s numbers are from each other. It is the difference between the minimum and maximum values within a dataset. It is a very useful statistic, especially when used alongside the variance and standard deviation of a dataset.

To analyze the range of a dataset, we will use the max and min methods from the numpy library in Python.

Getting ready

We will work with the COVID-19 cases again for this recipe.

How to do it…

We will compute the range using the numpy library:

1. Import the numpy and pandas libraries:

   import numpy as np
   import pandas as pd

2. Load the .csv into a dataframe using read_csv. Then subset the dataframe to include only relevant columns:

   covid_data = pd.read_csv("covid-data.csv")
   covid_data = covid_data[['iso_code','continent','location','date','total_cases',...