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.

<ASIN: 1032477318 >


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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Classic Computer Science Problems in Python

Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: ‎ ‎ B09782BT4Q
Level: Intermediate
Audience: Python developers
Category: Python
Rating: 4
Reviewer: Mike James
Classic algorithms in Python - the world's favourite language.

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Author: Marco L. Napoli
Publisher: Wrox
Pages: 528
ISBN: 9781119550853
Print: 1119550823
Kindle: B07YCVJW2D
Audience: Mobile developers
Rating: 4.5
Reviewer: Sanjay Kanade

Flutter is Google's SDK for writing mobile apps using the Dart language. It needs a good book - does this on [ ... ]

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