A statistical analysis, mainly over the 'UN: World Happiness Report' data: https://worldhappiness.report.
Built in Python, using: numpy, pandas, statsmodels, matplotlib, seaborn and yellowbrick libraries for statistical validations and ploting.
v1.0 (2020.07.29) - Initial release.
This is the first public release of this project.
Developed for subject 'Taller de Lenguajes II', at CAECE University, Buenos Aires, Argentina.
This source code is licensed under MIT licence.
Please send me your feedback about this report: andres.garcia.alves@gmail.com