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portada People Analytics & Text Mining With r (in English)
Type
Physical Book
Year
2019
Language
English
Pages
369
Format
Paperback
Dimensions
23.5 x 19.1 x 2.0 cm
Weight
0.64 kg.
ISBN13
9781091118539

People Analytics & Text Mining With r (in English)

Mong Shen Ng (Author) · Independently Published · Paperback

People Analytics & Text Mining With r (in English) - Ng, Mong Shen

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Synopsis "People Analytics & Text Mining With r (in English)"

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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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