Beautiful Data

Author: Toby Segaran & Jeff Hammerbacher
Publisher: O'Reilly, 2009
Pages: 480
ISBN: 978-0596157111
Print: 0596157118
Kindle: B002L4EXGA
Aimed at: Those with an interest in data presentation
Rating: 3

Pros: Lots of varied content
Cons: Little of it either inspiring or essential
Reviewed by: Mike James

This is a very mixed bag and how you react to it depends on what you think a book called “Beautiful Data” might be all about. Given the subtitle of “The Stories Behind Elegant Data” you might expect that its focus would be on data structures or perhaps elegant database design. If so you would be disappointed because most of the book is about data visualisation or some other strange aspect of interacting with data.

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If you are interested in data presentation then some of the stories will be worth reading – however none of them make it into the category of generalisable techniques. As a result the main reason for reading this book is for fun or to gain some insight into how a fairly random group of people tackled a fairly random group of projects.

We have something about using GPS data to allow people to log what they are doing and see their effect on the environment. Then something about data collection which proposes the obvious truism that customisable forms are better. Then some thing very technical – embedded image data processing on Mars – great fun but how many of us are going to have the chance to design anything like it. Then we tackle cloud storage, encounter an essay on the role of the “data scientist”, together with chapters about presenting geographic data, indexing form data, capturing real time movement, visualising urban data, interactive visualisation, data and statistics, natural language exemplar data, DNA, data cleaning, data mining the web, presenting housing data, presenting political data and how the semantic web/AI can break down data silos….

As promised the book is a considerable random walk through the less technical aspects of data. If you are new to any of the topics then you might find the comments useful, but if you know your stuff you will probably find the level on the low side. Either the authors are not expert enough to present us with an overview or they are expert enough and try to present an overview in too few pages.

The irony is that for a book on beautiful data it is also spoiled by poor print quality, including in the the colour plates bound into the middle. Beautiful data should at least be presented beautifully. The bottom line is that this isn’t an inspiring book and it isn’t an essential book – it has some entertaining chapters but they suit a magazine format rather better than a book.

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Quantum Computing for Everyone

Author: Chris Bernhardt
Publisher: MIT Press
ISBN: 978-0262039253
Print: 0262039257
Kindle: B07P7KN23F
Audience: People interested in quantum computing
Rating: 4
Reviewer: Mike James
Quantum computing for everyone is a tall order, can it be delivered?



Computer Graphics Programming in OpenGL with C++

Author: V. Scott Gordon
Publisher: Mercury
Date: September 2018
Pages: 384
ISBN: 978-1683922216
Print: 1683922212
Kindle: B07MHD8TKB
Audience: Developers wanting to learn OpenGL
Rating: 5
Reviewer: Mike James


C++ and OpenGL are a natural pair and this book will help you get started.


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Last Updated ( Saturday, 28 April 2018 )