Beyond Spreadsheets with R (Manning)
Friday, 28 December 2018

This book shows how to take raw data and transform it for use in computations, tables, graphs, and more. Author Dr Jonathan Carroll shows how to build on simple programming techniques like loops and conditionals to create custom functions. Readers will come away with a toolkit of strategies for analyzing and visualizing data of all sorts using R and RStudio. If you're comfortable writing formulas in Excel, you're ready for this book

<ASIN:1617294594>

 

Author: Dr Jonathan Carroll
Publisher: Manning
Date: December 2018
Pages: 352
ISBN: 978-1617294594
Print: 1617294594
eBook: Free with print title
Audience: would-be R developers
Level: Introductory
Category: Other Languages 

beyondr

  • Introducing data and the R language
  • Getting to know R data types
  • Making new data values
  • Understanding the tools you'll use: Functions
  • Combining data values
  • Selecting data values
  • Doing things with lots of data
  • Doing things conditionally: Control
  • structures
  • Visualizing data: Plotting
  • Doing more with your data with extensions

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Bare Metal C

Author: Steve Oualline
Publisher: No Starch Press
Date: August 2022
Pages: 304
ISBN: 978-1718501621
Print: 1718501625
Kindle: B08YJB9BCF
Audience: C programmers
Rating: 3
Reviewer: Harry Fairhead
Bare metal C sounds exciting and very basic. Time to find out how the machine really works.



Grokking Machine Learning

Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09LK7KBSL
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
Another book on machine learning - surely we have enough by now?


More Reviews