A data science project to perform Data Visualization on World Happiness Index 2020.The World Happiness Report is a landmark survey of the state of global happiness that ranks 156 countries by how happy their citizens perceive themselves to be. The World Happiness Report 2020 for the first time ranks cities around the world by their subjective well-being and digs more deeply into how the social, urban and natural environments combine to affect our happiness.
The World Happiness Report is an annual publication of the United Nations Sustainable Development Solutions Network. It contains articles, and rankings of national happiness based on respondent ratings of their own lives, which the report also correlates with various life factors.As of March 2020, Finland was ranked the happiest country in the world three times in a row.
- Perform Data Visualization for better/deep understanding of Stats.
- To compare the stats between various Countries.
pip install pandas numpy seaborn
git clone https://github.com/kanishksh4rma/World-Happiness-Index-2020--data-visualization.git
* pandas
* numpy
* matplotlib
* seaborn
Dataset Source : World Happiness Report
Developed by : Kanishk sharma
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent