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 publications.
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 tasks.
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 example of using R to visualize Statistics Canada CANSIM data, step-by-step.