https://github.com/palwisha-18/time_series_analysis_lex_vs_gdp

Analyzes how a country’s GDP per capita correlates with the life expectancy of its citizens over a period of about 100+ years
https://github.com/palwisha-18/time_series_analysis_lex_vs_gdp

data-analysis data-visualization pandas plotl time

Last synced: about 18 hours ago
JSON representation

Analyzes how a country’s GDP per capita correlates with the life expectancy of its citizens over a period of about 100+ years

• Host: GitHub
• URL: https://github.com/palwisha-18/time_series_analysis_lex_vs_gdp
• Owner: Palwisha-18
• Created: 2025-01-30T03:55:07.000Z (13 days ago)
• Default Branch: main
• Last Pushed: 2025-01-30T04:06:02.000Z (12 days ago)
• Last Synced: 2025-01-30T05:18:36.956Z (12 days ago)
• Topics: data-analysis, data-visualization, pandas, plotl, time
• Language: Jupyter Notebook
• Homepage:
• Size: 601 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Life Expectancy vs. GDP Per Capita (Animated Chart)

## Project Overview

This project visualizes the relationship between **life expectancy** and **GDP per capita** for countries around the world over a span of **100+ years**. The data is analyzed using **pandas**, and an **animated chart** is created using **Plotly**.

## Final Output

The final animated chart is saved as a GIF:  

![Life Expectancy vs. GDP Per Capita](USERCODE/animated_chart.gif)

## Features

- **Time Series Analysis**: Uses historical data spanning over a century.  

- **Interactive Visualization**: Created with **Plotly** for rich visual representation.  

- **Animation**: Shows the progression of GDP per capita and life expectancy over time.  

## Technologies Used

- **Python**

- **pandas** (for data analysis)  

- **Plotly** (for visualization)

- **pycountry_convert** (for country code conversions)  

- **PIL (Pillow)** (for image processing)  

## Prerequisites

- Use python 3.12 and install packages using requirements.txt before running the notebook.