Graphical Data Analysis with R (Chapman & Hall/CRC)
Wednesday, 19 April 2023

This book shows what information can be gained from graphical displays. Antony Unwin focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages. The book guides you in choosing graphics and understanding what information you can glean from them, such as data cleaning, exploring data structure, detecting outliers and unusual groups, and identifying trends and clusters.

 

Author: Antony Unwin
Publisher: Chapman & Hall/CRC
Date: January 2023
Pages: 310
ISBN: 978-1032477312
Print: 1032477318
Kindle: B07H7LV3TK
Audience: developers interested in data analysis
Level: Intermediate
Category: Data Science

For recommendations of data mining books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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Machine Learning Q and AI (No Starch Press)

Author: Sebastian Raschka
Publisher: No Starch Press
Date: April 2024
Pages: 264
ISBN: 978-1718503762
Print: 1718503768
Kindle: B0CKKXCK3T
Audience: Developers interested in AI
Rating: 4
Reviewer: Mike James
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Clean Craftsmanship

Author: Robert C. Martin
Publisher: Addison-Wesley
Date: November 2021
Pages: 416
ISBN: 978-0136915713
Print: 013691571X
Kindle:B095C16LSW
Audience: General
Rating: 4
Reviewer: Mike James
Well, I'm a clean craftsman - are you?


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