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People Analytics & Text Mining with R

A practical, beginner-friendly guide to using free R software to run People Analytics, predictive HR modeling, social media mining, and text/sentiment analysis to link HR levers to business outcomes.

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What it’s about

This book demystifies People Analytics for HR professionals with no prior programming experience by teaching them R step-by-step alongside a structured five-step ARHAT analytics framework. It bridges statistical theory and hands-on application, showing readers how to run correlation, multiple regression, and logistic regression in R to predict outcomes like employee flight risk, customer satisfaction, performance, sales, and diversity's impact on revenue. Packed with real-world case studies (Deloitte, Best Buy, ISS, Nielsen, Rentokil, Xerox), data storytelling guidance, Facebook Graph API mining, and word/sentiment cloud generation, it equips analysts to uncover relationships between people factors and business results and to communicate those insights persuasively to stakeholders.

The through-line

Who it’s for
An HR or rewards professional (often non-technical) who wants to use data to predict workforce outcomes and influence business results.
The problem
They lack affordable tools and programming know-how to run predictive people analytics. They feel intimidated by statistics and coding and unsure how to turn data into credible recommendations.
The plan
  1. Install free R and RStudio and learn the minimal needed syntax.
  2. Follow the ARHAT five-step framework to scope and run a project.
  3. Use correlation and regression in R to test hypotheses and predict outcomes.
  4. Mine text and social media for sentiment insights.
  5. Communicate findings through data storytelling and actionable recommendations.
The payoff
The reader predicts flight risk, performance, and engagement impact and acts preemptively. · HR earns credibility as a strategic, data-driven partner. · Business heads seek out the analytics team to solve people-related problems.

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