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Chris
Mar 01, 2014 rated it really liked it
Decided to quickly read this over the weekend. The last few chapters are relatively good with some quick examples on how to use R and Python to produce visualizations. There is also a good example of SVG-style graphics and with very limited skill set. You could easily set up many of those graphics by manipulating a few XML files. The first part of this book was ok. This book is more practical, which I find better than the book data point, which is just theory. Nathan Yau also presents his backgr ...more
Jen
Feb 24, 2013 marked it as to-read
Derek
Mar 05, 2013 marked it as to-read
Atul Maheshwari
Oct 28, 2013 marked it as to-read
Motobo
Apr 30, 2014 marked it as to-read
Daren Eiri
May 31, 2014 rated it liked it
Daria Huszar
Jun 15, 2014 marked it as to-read
Eric
Oct 03, 2014 rated it did not like it
Shelves: data-science
Nick
Nov 22, 2014 marked it as to-read
Fahim Hassan
Feb 17, 2015 rated it liked it
Shelves: data-science
Theresa
Oct 06, 2015 marked it as data-science
Radovan Kavický
Oct 22, 2017 rated it it was amazing
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Brian
Dec 26, 2016 marked it as to-read
David Adams
Jul 11, 2017 added it
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Heather Myers
Jul 07, 2018 marked it as to-read
Mohannad
Oct 19, 2019 marked it as to-read