Data Sketches ( A K Peters/CRC Press)
Friday, 05 March 2021

In this book, described as  "A journey of imagination, exploration, and beautiful data visualizations", Nadieh Bremer and Shirley Wu document the creative process behind 24 data visualization projects, and combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right.

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Author: Nadieh Bremer and Shirley Wu
Publisher: A K Peters/CRC Press
Date: February 2021
Pages: 428
ISBN: 978-0367000080
Print: 0367000083
Kindle: B08S1MKPV1
Audience: General interest
Level: Introductory/Intermediate
Category: Data Science

datasketches2

 

 

  • Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks
  • Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts
  • Practical lessons based on the data and design challenges overcome during each project
  • Full-color pages, showcasing all 24 final data visualizations

 

 

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

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Python Machine Learning, 2nd Ed

Author: Sebastian Raschka and Vahid Mirjalili
Publisher: Packt
Pages: 622
ISBN: 978-1787125933
Print: 1787125939
Kindle: B0742K7HYF
Audience: Python developers interested in machine learning
Rating: 4.8
Reviewer: Mike James
Python and machine learning are made for each other.



Data Science with Java

Author:  Michael R. Brzustowicz
Publisher:  O'Reilly
Pages: 236
ISBN: 978-1491934111
Print: 1491934115
Kindle: B072MKRQBQ
Audience: Java programmers wanting to use the Apache Commons math library
Rating: 3
Reviewer: Alex Armstrong

 

Java is a candidate for doing data science, so a book [ ... ]


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