Petr Baranovskiy

Correlation Analysis in R, Part 1: Basic Theory

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

Writing Functions to Automate Repetitive Plotting Tasks in ggplot2

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.

COVID-19 Canada Data Explorer

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.

GIS Day!

A collection of links to some great R-spatial resources, sources of geospatial data, and other GIS-related stuff that you may find useful.