Handbook of Regression Modeling in People Analytics
With Examples in R, Python and Julia
Welcome to the website for the book Handbook of Regression Modeling in People Analytics by Keith McNulty.
Note: This book is published by Chapman & Hall/CRC and can be purchased directly from their website, as well as from Amazon and other book retailers. Please consider buying this book if you find it useful - all the author’s royalties are donated to the R-ladies Global organization which promotes diversity in the statistical programming community. The online version of this book is free to read here (thanks to Chapman & Hall/CRC), and licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. If you have any feedback, please feel free to file an issue on GitHub. Thank you!
Notes on data used in this book
For R, Python and Julia users, each of the data sets used in this book can be downloaded individually by following the code in each chapter. Alternatively, packages containing all the data sets used in this book are now available in R and Python. For R users, install and load the
peopleanalyticsdata R package.
# install peopleanalyticsdata package install.packages("peopleanalyticsdata") library(peopleanalyticsdata) # see a list of data sets data(package = "peopleanalyticsdata") # find out more about a specific data set ('managers' example) help(managers)
For Python users , use
pip install peopleanalyticsdata to install the package into your environment. Then, to use the package:
# import peopleanalyticsdata package import peopleanalyticsdata as pad import pandas as pd # see a list of data sets pad.list_sets() # load data into a dataframe = pad.managers() df # find out more about a specific data set ('managers' example) pad.managers().info()
Last update: 25 August 2021