Measures of Central Tendency & Dispersion in R | Summarizing & Visualizing Distributions

This tutorial demonstrates how to compute measures of central tendency (e.g., mean, median) and dispersion (e.g., standard deviation, interquartile range) in R, where these measures are common types of descriptive statistics and are useful for describing variables that have interval or ratio measurement scales. I focus on using base R functions like mean, median, var, sd, min, max, IQR, and quantile. In addition, I demonstrate how to visualize scores in a distribution using the hist (histogram) and boxplot (box plot) functions from base R.
Other videos from my "R for Beginners" playlist can be found here: • R for Beginners . The videos in this playlist focus on simulated human resources (HR) data.
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: github.com/davidcaughlin/R-Tu.... Click "Clone or Download" followed by "Download ZIP".