Analysis of HR Emails

[This article was first published on Coastal Econometrician Views, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

This study has made an attempt to understand, what HR’s in a day dealt with at different working hours, by analyzing their emails from a particular organization. Sample size of the study consists of 7 HRs emails who are located at two different locations of the same organization in a country and for 15 different days that are selected randomly from a quarter.

After sanitizing the data and removing unnecessary characters and punctuation’s, data has been prepared and transformed in such a way to get frequency of words used by each hour. A day has been divided into seven categories viz., first hour, second hour, etc. Correspondence analysis has been chosen keeping in the mind for graphical representation of the processed data (below is the output – prepared for presentation purposes). All analysis has been carried out using open source statistical computing tool “R”.


Analysis tells us that, ‘First’ hour of the day’s had always been dealt with HR policies, queries, and aspects related to appraisal, roles and productivity (higher number of aspects (5) in first one hour). And, ‘Second’ hour went completely for addressing leaves and grievances of the employees. Coming to ‘Third’ the turn of reviews and offers, however, both second and third dealt with less number of aspects i.e. only two. Surprisingly, none of the aspects at the fourth hour. Moving to fifth hour again good number of aspects (4) have been dealt viz., payroll aspects of the employees, diversity and safety in the organization and about interviews. Sixth hour went for addressing training needs and calendar related aspects. Last hours (2.23 hours on average) has been dealt with development, retention and performance aspects.


Author has worked extensively in the HR analytics and can be reached at mavuluri.pradeep@gmail for related discussions.

To leave a comment for the author, please follow the link and comment on their blog: Coastal Econometrician Views.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)