https://github.com/nermeenkamal/population_growth_analysis_and_visualization
Python
https://github.com/nermeenkamal/population_growth_analysis_and_visualization
analysis data-science dataset matplotlib numpy pandas python seaborn visualization
Last synced: 2 months ago
JSON representation
Python
- Host: GitHub
- URL: https://github.com/nermeenkamal/population_growth_analysis_and_visualization
- Owner: NermeenKamal
- License: mit
- Created: 2024-05-06T04:21:46.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-25T10:01:42.000Z (about 2 years ago)
- Last Synced: 2025-01-14T14:24:00.310Z (over 1 year ago)
- Topics: analysis, data-science, dataset, matplotlib, numpy, pandas, python, seaborn, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 875 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README

---
# World Population Growth Analysis
This repository contains Python code for analyzing and visualizing world population growth using data from [The World Bank](https://data.worldbank.org/).
## Dataset
The dataset used in this analysis contains annual population growth rates for various countries from 1960 to 2022.
### Data Source
- [The World Bank Population Growth (annual) Dataset](https://data.worldbank.org/indicator/SP.POP.GROW)
## Analysis
### Descriptive Questions
- **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?**
### Diagnostic Questions
- **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?**
### Predictive Questions
- **What might be the population growth rate trends for the next few years?**
### Visualization
- Visualizations include line plots, box plots, and heatmaps to represent the population growth trends and outliers.
## Repository Structure
- `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.
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