This repository explores Hans Rosling's data outlined in his book Factfulness. Rosling challenged traditional views of global income and development by dividing the world into four income levels instead of using outdated classifications like "developed" and "developing." This repository contains the code, data, and visualizations used in my analysis of income, health, and lifestyle distribution across these levels.
The primary R script used for analysis and visualizations. The data file containing global income and lifestyle metrics categorized by levels.
Clone the Repository: Use the following command to clone the repository: R Copy code install.packages(c("tidyverse", "ggplot2", "readxl", "writexl")) Load the Data: The Excel file country_income_mnts.xlsx. You can load it into R using the readxl package:
Hans Rosling’s Factfulness emphasizes the importance of data-driven insights over outdated perspectives. By shifting focus from binary classifications to levels, it challenges misconceptions and fosters a more nuanced understanding of global development.