Calculate Employee Turnover the Easy Way
turnover_calcs_made_easy_short_version_with_comments.knit In today’s tutorial I show you how to calculate employee turnover from just three columns of data: employee id, start date, and the termination...
How to Make Your Own HR Analytics Reporting Template using R and RMarkdown
Today I want to give you a very basic HR analytics reporting template in RMarkdown. As a reminder, R Markdown (Rmd) files provide a convenient...
HR Analytics Pitfalls: 3 Simple Steps to Avoid Them
Many companies today have a fully dedicated HR analytics team, replete with data scientists, a solid budget, data access, and high-quality reporting tools that help...
The Golden Rule of HR Analytics: The Why and How for Beginners
Lots of companies now have a fully fledged HR analytics team and fairly mature reporting processes that help organizations make better people decisions. But what...
How to Use the Pipes Function (%>%) in R: A Two-Minute Tutorial
The pipes function (you know, that funky "%>%" symbol in R) is an incredibly powerful tool for fast, efficient, and understandable R code. But many...
R for the Total Beginner: Basics of Column Selection and Row Filtering
https://youtu.be/Nne-oo_i2lY This installment for R for the Total Beginner teaches the basics of column selection and row filtering. We take the mystery out of the...
R Dataframes for the Total Beginner
This short tutorial video explains the very basics of dataframes in R, the single most important data structure when using R for HR analytics task....
How Correlations Can Fool You: The Hidden Dangers of Non-Linearity
In today’s post I’ll highlight how correlations can fool you if you blindly generate them without first plotting the data, particularly when you have non-linearities...
A Simple Model with Major Insights on Selection Bias
I mentioned earlier that I have been reading (and rereading) Scott Page’s masterful book “The Model Thinker”. If you are serious about understanding models and...
How to Avoid Aggregation Errors and Simpson’s Paradox In HR Analytics: Part 2
In our previous post we described the basic premise of Simpson’s Paradox: aggregate data and see one trend, separate your analyses and see another. Today...
How to Avoid Aggregation Errors and Simpson’s Paradox in HR Analytics: Part 1
Recently I’ve been reading Scott Page’s masterful book “The Model Thinker”. It’s full of powerful insights so in this and future posts, I will be...
How to Break Down Your Turnover Data
Breaking Down Turnover In previous posts and video tutorials we covered how to calculate turnover from your raw HR data. Today, I’m going show you...
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