Our Blog - HR Analytics 101

04 Oct

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...

19 Jul

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...

06 Jul

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...

26 Jun

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...

pipe
04 Jun

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...

no-imag
12 Feb

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....

01 Jun

How Correlations Can Fool You: The Hidden Dangers of Non-Linearity

knitr::opts_chunk$set(echo = TRUE) library(wesanderson) #color palettes library(dplyr) #tidyverse to make our lives better library(fMultivar) wp <- wes_palette("Darjeeling1") #specific color palettes Correlations are the simplest and...

11 May

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...

27 Apr

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...

20 Apr

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...

06 Apr

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...

Contact Us

Yes, I would like to receive newsletters from HR Analytics 101.