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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Author: Alex DeCaria and Grant Petty
Publisher: Sundog Publishing
Pages: 372
ISBN: 978-0972903356
Print: 0972903356
Audience: Scientists wanting to use Python
Rating: 2
Reviewer: Mike James
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Author: S. R. Vijayalakshmi and S. Muruganand
Publisher: Mercury Learning
Date: October 2019
Pages: 580
ISBN: 978-1683924579
Print: 1683924576
Kindle: B07YN6JC19
Audience: Developers interested in vision-enabled devices
Rating: 3
Reviewer: Harry Fairhead
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