Descriptive Statistics in R

This tutorial demonstrates how to compute descriptive (summary) statistics in R, such as indicators of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, range) and counts/frequencies. In addition, several data visualizations are demonstrated. Here, I demonstrate how to apply these descriptive statistics in the HR context of employee surveys. For a written tutorial of computing descriptive statistics using R, check out my free ebook: https://rforhr.com/descriptives.html For a conceptual overview of descriptive statistics, check out this video: https://youtu.be/WCC4IXavits Other videos from my "R Tutorials" playlist can be found here: https://www.youtube.com/playlist?list=PLKkRkURCtPjCJOZHskCoyJCPb8wMDs2CW The data file(s) referenced in this R tutorial (and other R tutorials on this playlist) can be downloaded as a compressed (zipped) folder by visiting the following link: https://github.com/davidcaughlin/R-Tutorial-Data-Files.git. Click "Clone or Download" followed by "Download ZIP".