Part 2 of the series of tutorials on correlation analysis in R. In this part, I will provide an overview of the relevant packages and functions. I will also address some of the best practices to write up and visualize correlations as text, tables, and correlation matrices in online and print ...

Part 1 of the series of practical hands-on tutorials on performing correlation analysis in R. In this part, I will provide a simple and practical overview of what correlation coefficients are, what they tell and don't tell us, when they are meaningful (aka statistically significant) and when they aren't, and what ...

An R package containing themes for ggplot2 that have been optimized for blogs and similar online usage: theme_web_bw, theme_web_classic, and theme_web_void.

Sooner or later (usually sooner) a data analyst runs into a situation where one needs to make multiple visualizations on the same subject, which can be slow and time-consuming. By writing simple functions, it is possible to automate most of the work, thus greatly simplifying and speeding up repetitive plotting ...

A detailed tutorial on visualizing Canadian Census data using R.

An interactive dashboard to explore the Government of Canada's official statistics on the spread of the COVID-19 disease. Built with R Shiny, Leaflet, and plotly. Auto-updated every six hours.

A detailed tutorial on using R to retrieve, and work with Canadian Census data.

A detailed example of using R to visualize Statistics Canada CANSIM data, step-by-step.

A detailed tutorial on using R to retrieve and clean Statistics Canada CANSIM data, step-by-step.