Sports vs. Happiness

By Abhinav Raghunathan

The work in this repository was implemented for an article written on Medium.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

Special thanks goes to the below sources for their data and the masterminds behind the R Programming Language and its assorted libraries.

Data Sources:

1. World Bank
2. World Happiness Report
3. ESPN
4. FIFA
5. FIBA
6. FINA
7. FIVB
8. FIH
9. World Rugby
10. Scrum Queens
11. Wikipedia

Relevant R Packages:

1. H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2009.

2. Jeffrey B. Arnold (2017). ggthemes: Extra Themes, Scales and Geoms for 'ggplot2'. R package version 3.4.0. https://CRAN.R-project.org/package=ggthemes

3. Hadley Wickham (2017). tidyverse: Easily Install and Load the 'Tidyverse'. R package version 1.2.1. https://CRAN.R-project.org/package=tidyverse

4. Hadley Wickham, Romain François, Lionel Henry and Kirill Müller (2020). dplyr: A Grammar of Data Manipulation. R package version 0.8.5. https://CRAN.R-project.org/package=dplyr

5. Hadley Wickham, Jim Hester and Romain Francois (2018). readr: Read Rectangular Text Data. R package version 1.3.1. https://CRAN.R-project.org/package=readr

6. Stefan Milton Bache and Hadley Wickham (2014). magrittr: A Forward-Pipe Operator for R. R package version 1.5. https://CRAN.R-project.org/package=magrittr