https://github.com/hafidaso/world-happiness-report-analysis-2013-2023-and-compared-morocco

World Happiness Report Analysis (2013-2023)
https://github.com/hafidaso/world-happiness-report-analysis-2013-2023-and-compared-morocco

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World Happiness Report Analysis (2013-2023)

• Host: GitHub
• URL: https://github.com/hafidaso/world-happiness-report-analysis-2013-2023-and-compared-morocco
• Owner: hafidaso
• License: mit
• Created: 2023-08-23T17:18:09.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-23T18:03:18.000Z (over 1 year ago)
• Last Synced: 2023-08-23T18:47:46.693Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage: https://ymadigital.com/
• Size: 340 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# World Happiness Report Analysis (2013-2023)

Analysis of the World Happiness Report data spanning from 2013 to 2023.

([world Happiness.PNG](https://github.com/hafidaso/World-Happiness-Report-Analysis-2013-2023-And-Compared-Morocco/blob/bc4741c877dfcd5a27ea07f820cc9ab721ec2c87/world%20Happiness.PNG))

## Table of Contents

- [Introduction](#introduction)

- [Data Sources](#data-sources)

- [Key Findings](#key-findings)

- [Technologies Used](#technologies-used)

- [Setup](#setup)

- [Visualizations](#visualizations)

- [License](#license)

## Introduction

This repository contains an exploratory data analysis of the World Happiness Report datasets. It provides insights into global happiness trends over the years and a deep dive into Morocco's happiness index in comparison to the global average.

## Data Sources

The data for this analysis is sourced from the World Happiness Reports from 2013 to 2023. Each year's report provides a happiness score for various countries based on different factors like GDP, social support, life expectancy, freedom, etc.

## Key Findings

- The global happiness index has remained relatively stable over the past decade.

- Morocco's happiness index has seen fluctuations, with the country ranking 100th in 2023.

- Several countries consistently rank at the top, showcasing high happiness levels, while others remain at the bottom, highlighting potential areas of improvement.

## Technologies Used

- Python

- Pandas, Seaborn, Matplotlib, GeoPandas

## Setup

To run this project, you need to have Python installed and the mentioned libraries. Clone the repository and run the Jupyter notebook:

```bash

$ git clone https://github.com/your_username/World-Happiness-Report-Analysis.git

$ cd World-Happiness-Report-Analysis

$ jupyter notebook

```

## Visualizations

For detailed visualizations, check out the [Jupyter Notebook]([😀 World Happiness.ipynb](https://github.com/hafidaso/World-Happiness-Report-Analysis-2013-2023-And-Compared-Morocco/blob/6a49bb0b0ccef5de078820d9d14580355260fb7d/%F0%9F%98%80%20World%20Happiness.ipynb)) containing all the analyses.

...

## License

[License](https://github.com/hafidaso/World-Happiness-Report-Analysis-2013-2023-And-Compared-Morocco/blob/824cad14a9fc7d4313fca11669fc31f2e9bcca79/LICENSE)