World Happiness Dashboard by Ismael CharpentierWorld Happiness Dashboard by Ismael Charpentier

World Happiness Dashboard

Ismael Charpentier

Completed work

Data Analyst

Data Visualizer

Virtualization Engineer

Dash Plotly

pandas

Python

Data

World Happiness Report Dashboard

An interactive Dash web application that visualizes and analyzes the World Happiness Report data. The app allows users to explore happiness scores across different countries and years using dynamic graphs and filters.

📸 Screenshots

Map View

Happiness vs Freedom (Selectable Factor)

✨ Features

Interactive visualizations: Explore happiness scores through dynamic charts and graphs.

Filters & Selections: Select countries, regions, years, or specific factors to analyze trends.

Comparisons: Compare different countries based on happiness indicators.

Data Insights: Get key statistics and rankings directly from the dataset.

📊 Dataset

The app uses the World Happiness Report, a dataset that measures global happiness based on factors such as GDP per capita, social support, life expectancy, freedom, generosity, and corruption perception.

Source: World Happiness Report

Columns Include:

Country

Year

Happiness Score

GDP per Capita

Social Support

Life Expectancy

Freedom to Make Life Choices

Generosity

Perceptions of Corruption

🚀 Installation & Usage

1. Clone the repository

git clone https://github.com/MrIsCM/World-Happiness-Report.git

2. Create a virtual environment and activate it (optional but recommended)

conda create --name WHR_Dashboard
conda activate WRH_Dashboard

3. Install dependencies

pip install -r requirements.txt

4. Run the Dash app

python app.py

Then, open your browser and go to http://127.0.0.1:8050/ to access the dashboard.

📂 Project Structure

world-happiness-dash/
│-- app.py             # Main application file
|-- color_themes.py    # Aux functions file
│-- Data/              # Folder for dataset (xlsx file)
│-- Images/            # Folder for the images
│-- requirements.txt   # Dependencies
│-- README.md          # Project documentation

🛠 Technologies Used

Dash for building the interactive web app.

Plotly for visualizations.

Pandas for data manipulation.

Python as the main programming language.

🔮 Future Improvements

Host the app online for public access.

Automate ETL.

🤝 Contributing

Contributions are welcome! If you'd like to improve this project, feel free to fork the repository, create a new branch, and submit a pull request.

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🚀 Enjoy exploring happiness trends worldwide!

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Completed work

Posted Apr 2, 2025

Interactive Dash application that visualizes insights from the World Happiness Report. The app allows to explore happiness scores across different countries.

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