https://github.com/parneet-sandhu/population-visualization

https://github.com/parneet-sandhu/population-visualization

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• Host: GitHub
• URL: https://github.com/parneet-sandhu/population-visualization
• Owner: Parneet-Sandhu
• Created: 2024-09-15T11:16:59.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-15T11:24:15.000Z (4 months ago)
• Last Synced: 2024-09-15T13:21:24.662Z (4 months ago)
• Language: Jupyter Notebook
• Size: 1.99 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Population-Visualization

# Global Population Distribution Visualizations

This repository contains visualizations of global population data sourced from the [World Bank](https://data.worldbank.org/indicator/SP.POP.TOTL). The data spans from 1960 to 2023 and provides insights into population growth trends, country comparisons, and other key aspects of demographic changes.

## Overview

The notebook `population_distribution.ipynb` analyzes and visualizes population data from the World Bank, focusing on:

- Global population growth from 1960 to 2023.

- Country-specific population trends.

- Yearly population changes and comparisons across regions.

## Data Source

The population data used in this project is from the [World Bank Population Total](https://data.worldbank.org/indicator/SP.POP.TOTL) dataset, which contains population estimates for countries and regions worldwide.

## Features

- **Data Analysis**: Population data is cleaned and processed for analysis.

- **Visualizations**: Various types of visualizations (line charts, bar charts, heatmaps) are generated to explore trends and patterns.

- **Interactive Elements**: Certain visualizations include interactive features to explore the dataset in depth.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.

## Acknowledgements

- The [World Bank](https://data.worldbank.org/) for the open dataset.

- Libraries used in this project: `pandas`, `matplotlib`, and `seaborn`.