Search⌘ K

Classifying Incomes of The World

Explore the relationship between literacy rates and income levels worldwide and in US states. Learn to import, clean, and analyze income data from the World Bank, handle missing values by averaging, and classify countries into income groups using quartiles. This lesson helps you develop skills in data preprocessing, classification, and visualization within a Jupyter environment to better understand socioeconomic patterns.

Overview

In this chapter, we will explore the literacy rates and incomes of the regions around the world and try to understand their relation. Also, we will do the same analysis for the US states.

Importing income group data

For the income of different countries, we’ll use the worldbank’s GNIGross National Income per capita data in USD (CSV file). The data provides the income of different ...