9781091118539-1091118531-People Analytics & Text Mining with R

People Analytics & Text Mining with R

ISBN-13: 9781091118539
ISBN-10: 1091118531
Author: Ng, Mong Shen, Ng, Mong Shen
Publication date: 2019
Publisher: Independently published
Format: Paperback 369 pages
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Book details

ISBN-13: 9781091118539
ISBN-10: 1091118531
Author: Ng, Mong Shen, Ng, Mong Shen
Publication date: 2019
Publisher: Independently published
Format: Paperback 369 pages

Summary

Acknowledged authors Ng, Mong Shen, Ng, Mong Shen wrote People Analytics & Text Mining with R comprising 369 pages back in 2019. Textbook and eTextbook are published under ISBN 1091118531 and 9781091118539. Since then People Analytics & Text Mining with R textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

You don’t need to buy expensive statistical software like SPSS. This book teaches you R (R can be downloaded for free), People Analytics, Social Media Analytics, Text Mining and Sentiment Analysis. It is written for people with absolutely NO knowledge of R programming, with step-by-step print-screen instructions. The sample R codes are kept simple, short & straightforward so that you are not overwhelmed with too much unnecessary information, and focuses on the R codes relevant to people analytics, so that you’ll be up-and-running in no time. If you are new to R programming, this is the book for you. As R is developed specially for statistical analysis, you can run complicated statistical number crunching (Correlation, Multiple & Logistic Regression, etc.) by simply entering a few commands. This book covers a wide People Analytics scope (Benefits, Compensation, Culture, Diversity & Inclusion, Engagement, Leadership, Learning & Development, Personality Traits, Performance Management, Recruitment, Sales Incentives) with numerous real-world examples, and shows how People Analytics with R can help you:
1) Run Social Media Analytics, Text mining & Sentiment Analysis with R.
2) Predict employees’ flight-risk using R’s Correlation & Logistic Regression function.
3) Identify the personality traits of top performing Customer Service staff and Sales staff using R’s correlation function.
4) Predict impact of Employee Engagement on Customer Satisfaction, Revenue and Shareholder Returns, etc. using R’s Correlation & Multiple Regression function.
5) Predict impact of Learning & Development on Sales, using R’s Multiple Regression function.
6) Predict Diversity & Inclusion’s impact on Revenue and EBIT using R’s Multiple Regression function. You’ll be taught how to convert your company's ethnicity diversity mix (70% Chinese : 20% Malay : 10% Indian) to an index number (e.g. diversity index of 2.7), then use R’s Multiple Regression to predict your company sales, if your company’s “diversity Index” is 2.7 and if you spend $90 on advertising.

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