This book sets out to teach the R skills needed to become a data analyst. Scott McCoy starts with just the parts of the R language relevant to data analysis before moving on to hen,the use of R with the tidyverse package to get, clean, prepare, analyze, and visualize data at a professional level. By the end of the book readers will be creating linear regression models and classification models and using them to make predictions. This book contains three realistic analyses that use real-world data.
Author: Scott McCoy
Date: December 2022
Audience: People wanting to use R
Category: Data Science and Other Languages
For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.
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Pro Database Migration to Azure
Author: Kevin Kline et al
Audience: Managers & architects
Reviewer: Ian Stirk
This book aims to give you a holistic approach to migrating on-premise databases to Azure, how does it fare?
WordPress Plugin Development, 2nd Ed
Author: Brad Williams, Justin Tadlock, John James Jacoby
Audience: WordPress developers
Reviewer: Kay Ewbank
The authors of this book are well-known in the WordPress world, with more than 100 published plug [ ... ]