https://github.com/elishah-john/happiness-report-2019

Analysis of "Happiness Report 2019" using python.
https://github.com/elishah-john/happiness-report-2019

data-analysis data-visualization educational jupyter-notebook python

Last synced: 9 days ago
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Analysis of "Happiness Report 2019" using python.

• Host: GitHub
• URL: https://github.com/elishah-john/happiness-report-2019
• Owner: Elishah-John
• License: cc-by-sa-4.0
• Created: 2025-01-04T19:42:12.000Z (25 days ago)
• Default Branch: main
• Last Pushed: 2025-01-13T18:23:54.000Z (16 days ago)
• Last Synced: 2025-01-21T02:12:53.419Z (9 days ago)
• Topics: data-analysis, data-visualization, educational, jupyter-notebook, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.67 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# 🌍 World Happiness Report 2019 Analysis

This repository contains an analysis of the **World Happiness Report 2019** dataset, focusing on identifying factors that influence happiness. The project uses Python and popular data analysis libraries to uncover insights through data exploration and visualization.

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## 📌 Objectives

- Understand what factors have the greatest impact on happiness.

- Explore relationships between key feilds such as corruption, generosity, and happiness scores.

- Visualize the data for better interpretation and understanding.

- Provide insights into the determinants of societal happiness.

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## 🛠️ Tools & Libraries

The project utilizes the following Python libraries:

- `pandas` for data manipulation and analysis.

- `numpy` for numerical operations.

- `matplotlib` and `seaborn` for data visualization.

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## 📊 Dataset

The dataset used in this analysis is the **World Happiness Report 2019**.  

You can download the dataset from [Kaggle](https://www.kaggle.com/unsdsn/world-happiness) or directly use the preloaded path in the notebook.

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## 🖥️ How to Run the Notebook

1. Clone this repository:

   ```bash

   git clone https://github.com/Elishah-John/Happiness-Report-2019.git

2. Install required libraries:

    ```bash

   pip install -r requirements.txt

3. Open the notebook:

    ```bash

   jupyter notebook world-happiness-2019.ipynb

   cd world-happiness-2019

4. Run the notebook cells sequentially.

5. The dataset (World Happiness Report 2019.csv) is already included in the repository, so no additional downloads are necessary. The notebook will automatically read the file from the same directory.

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## 🤝 Contributing

Contributions are welcome! Please feel free to submit issues or pull requests to improve this project.

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## 📜 License

This project is licensed under the CC BY-SA 4.0 License. See the [License](LICENSE.txt) file for details.

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## 📬 Contact

If you have any questions or suggestions, feel free to reach out:

- **Email**: [email protected]

- **LinkedIn**: http://www.linkedin.com/in/elishah-johnej

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