This repository contains Python code for analyzing and visualizing world population growth using data from The World Bank.
The dataset used in this analysis contains annual population growth rates for various countries from 1960 to 2022.
- What is the median population growth rate globally over the years?
- Which year had the highest population growth rate globally, and why did it happen?
- How does the population growth rate vary between high-income and low-income countries?
- Which countries had the lowest population growth rates in 2019, and why did it happen?
- Which countries have population growth rates that are unusually high or low compared to the majority of countries?
- What might be the population growth rate trends for the next few years?
- Visualizations include line plots, box plots, and heatmaps to represent the population growth trends and outliers.
population_growth_analysis.ipynb: Jupyter Notebook containing the Python code for data analysis and visualization.The_World_Bank_Population_growth_(annual_).csv: Dataset used for analysis.