Software
Below you will find various projects sorted by programming language or skill.
If you wish to support my work and help me to continue developing open source projects, you can sponsor me through the GitHub sponsor program:
R
Shiny apps and dashboards
- Statistics 101: a guide on how to compute probabilities for the main probability distributions - how to read statistical tables (See how it works)
- Statistics 201: an app to perform inferential statistics - confidence interval and hypothesis testing for mean(s), proportion(s) and variance(s) (See how it works)
- Statistics 202: an app for simple linear regression - parameters estimation and visualization (See how it works)
- Correlogram: example of a correlations matrix to highlight the most correlated variables of a dataset (See how it works)
- A practical guide on asset allocation, based on the book A Random Walk Down Wall Street by Burton G. Malkiel (See how it works)
- Word cloud as part of text mining analysis (See how it works)
- Coronavirus dashboard: the case of Belgium provides an overview of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic for Belgium. See this blog post for more information and to see how to adapt it to your own country
R package
Others
Web development
- This website using Jekyll and GitHub
- My blog (www.statsandr.com) about statistics and its applications in R, using the {blogdown} R package and Hugo
- Website of a doctor using Wordpress