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Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
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Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

3.86  ·  Rating Details ·  893 Ratings  ·  39 Reviews
Practical data design tips from a data visualization expert of the modern age Data doesn't decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks ...more
Paperback, 358 pages
Published July 20th 2011 by John Wiley & Sons (first published June 13th 2011)
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(showing 1-30)
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Chelsea Ursaner
Aug 01, 2015 Chelsea Ursaner rated it it was amazing
Nathan Yau is the BEST. I have been trying to learn R on my own for some time now and it has been quite frustrating. The documentation on rdocumentation.org is written in such an esoteric way. I wish it were a wiki so that people could provide more examples or make it sound more like plain English. Anyway, Visualize This covered everything I was looking for to learn basic data visualization in R, from timelines to proportions/relationships and maps, as well as some instruction for Illustrator/In ...more
Uroš
Feb 14, 2012 Uroš rated it liked it
Shelves: non-fiction
This is a BEGINNERS guide to (mostly) static data graphics design for websites and newspapers. Don't expect a lot about both data science (statistics and data analysis) and data art (artistic visualization, animation, interactive video, etc).

Pros:
- Very practical, with a lot of code
- Good combination of statistics and design practice
- Online examples
- Clear writing style
- Useful design tips

Cons:
- Lacks subtlety and depth in terms of both science and art
- Lacks materials about animation and inter
...more
Alyson Hurt
Dec 29, 2012 Alyson Hurt rated it liked it
Shelves: design, datavis
Targeted toward beginners who don't fear code, this is a useful introduction to the world of data visualization, from data collection/research to display. Coming at the book from a graphic/web design background, I found the code examples most useful – particularly those relating to the statistical software R, which I've always found a bit intimidating.

Note: Some of the software/frameworks cited are out of date: Protovis is now D3.js, and Flex Builder is now Flash Builder (and most folks are movi
...more
Cyrus Molavi
Jan 26, 2017 Cyrus Molavi rated it it was amazing
This was a very complete book. It reads very much like a textbook or workbook. A concept is introduced, a challenge is laid out, and then the author walks through the steps of getting there while the reader works through the problem actively. Data and code is made available for download to use while following along. It dives into pragmatic uses of Python, R, CSS, Illustrator, XML, and a variety of visualizations. This is the depth of coding and design that I'm interested in as an analyst, and th ...more
This Is Not The Michael You're Looking For
Visualize This is a book about designing visualizations for data ("graphs" more or less, although there are visualizations which are not, strictly speaking, graphs). The focus of the book was not what I expected; given that the author is a graduate student in statistics, I expected the book to have more of a scientific focus. Instead, it is mostly focused on designing visualizations for websites and/or newspapers and magazines. While there can be a lot of overlap between these tasks and more dir ...more
Jake Losh
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics is a worthy effort to make a primer on data visualization. You'll learn all the tricks of the trade for finding data, cleaning data, making a graphic and cleaning the graphic to make it fit to print. If you're already a data nut or a fan of Nathan Yau's blog, you'll likely enjoy the ride.

In some sense, though, the book tries to do too much in too small a space. Aside from the core content revolving around data viz, yo
...more
Jonathan Jeckell
Sep 09, 2011 Jonathan Jeckell rated it really liked it
Recommended to Jonathan by: Sky Gerrond
This is a nice supplement to the Tufte series, focusing exclusively on data, numeric, and statistical graphics, including animations. Edward Tufte even referred to this book during his One Day Seminar. Unlike Tufte, this contains a lot of detailed, step-by-step directions to obtain data and how to build the graphics he shows in the book. While I love the practical directions, rather than just showing us the graphic and letting us ponder how to make something like it, I wish there was a greater s ...more
Gina
Jul 04, 2012 Gina rated it liked it
Yau is best when he talks about data and how to acquire it and about how to present various types of data. He is fixated on the notion that people need to code their own visualizations, preferably using R, an open source program that is quite good but not for the faint of heart. The documentation is spotty, and while I gamely carried out multiple exercises from the book, there were errors in the coding one was instructed to use, and multiple gaps that assumed readers would have greater knowledge ...more
Yahia El gamal
May 15, 2015 Yahia El gamal rated it liked it
Shelves: data-related
The idea of writing this book is really good. Having a book to fill the gap between heavy-on-code tutorials of a visualization tool(s) and purely theoretical, conceptual, have-no-idea-how-to-create-those-examples books. But the book fails in the former side.

I would have at least given it 4 stars if it used a proper set of tools. The book is using base-r for plotting (which no one who is taking visualization seriously should use in the presence of ggplot). And is using Flash (Action Script stuff)
...more
Ariadna73
Jan 26, 2012 Ariadna73 rated it it was amazing
Shelves: data-analysis
10-19-2011: This book is a wealth of good resources for visualization. I felt like a kid in a candy store. It must be read in front of a computer with internet connection. There are so many different places where we can find data and ideas to visualize it! I loved this book!



09-18-2011: This book has been a nice surprise: I was expecting another boring recount of graphics and enless tables; but this one is really well written and entertaining. I have been reading it with real attention and I have
...more
Chris
Mar 01, 2014 Chris 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
David
Jan 05, 2017 David rated it liked it
Great beginner text, but potentially a little dated now (flash anyone?). The narrative and observations however are well communicated and timeless. A little put off by the constant jumping between tool sets. includes R and python (horray!) but also provis, illustrator and tableau and *cough* action script and flash. Further complicated by the fact he keeps pushing the reader to take the output of all these tools and 'perk them up' in illustrator at the end of every chapter. 2009 was a while ago, ...more
Leslie
Mar 01, 2013 Leslie rated it it was amazing
Great hands on book about data visualization. It helps to know a little bit about stats and visualization before starting, but this book does a great job of explaining how to put some very advanced and interesting visualizations together, and how to use various software and programming languages to get the visualizations you want. As someone who isn't a programmer, this is was a super helpful guide in getting started in the world of R in particular. Love it. Will keep and reference again for man ...more
Ji
Jan 26, 2014 Ji rated it it was ok
Shelves: technical
It's probably an OK book for people who has not done any data visualization before. But then, even so, you might want to pick up another book that is better organized in the basics and foundational knowledge than this one, which is pieced together by examples where no obvious logic can be detected on how they are really put together, even with those chapter titles. I recommend anybody from any level to try to skip this book. It's no better than the blog posts that are already freely available at ...more
Brian Kelly
May 04, 2014 Brian Kelly rated it liked it
Recently started reading this. It's a good book though a little bit dated at this point.

My main issue is that it's pretty much a workbook - you're meant to use apps and write programs as you read the book and information about how to better display different types of information is sprinkled through that. I would've liked that information to be more separate from the actual "exercises". This made it hard to read on the train.
Tyler
Nov 16, 2013 Tyler marked it as stopped-reading
Shelves: non-fiction
Outdated already. I started this book, and the first major chunk is just about different programs and websites related to data visualization. I spent over an hour installing Python and troubleshooting because the author's directions weren't very clear and didn't quite work. (Though back in 2011 it may have been easier.) Got stuck :P
Maria
Jun 07, 2015 Maria rated it it was amazing
A very good beginner's guide to data visualization, with an easy-to-read and fun writing style.
I liked that the author touches all basic concepts with concrete examples and I think this book can be a good source of inspiration for digging deeper later on. The programming code is also very useful, as well as the tips and notes that the writer gives.
Mick Bordet
Mar 17, 2012 Mick Bordet rated it really liked it
A very easy read, but after racing through it in two days, I know that this is a book that will also be used as a reference. Some very useful insights into producing clear visualisations and interesting starter code for various systems. I did skip over the sections on using flash, but everything else was very useful.
Derrick Schneider
Jan 29, 2012 Derrick Schneider rated it really liked it
This book is a great hands-on start to the world of data visualization. Yau provides exercises that use a wide variety of tools, giving breadth that allows you to be smarter about which toolset you use for any given visualization task. Along the way, he also discusses the theory behind different visualizations -- when to use them and how.
S.M.
Dec 17, 2011 S.M. rated it really liked it
I'd recommend this to anyone who is working with large data sets and needs a quick intro into good visualization techniques. Of course, it is not a substitute for years of work with R or gnuplot but does a great job of explaining what a good data visualization is expected to be. Oh and did I mention I own a signed copy of the book? :D
Eric Bell
Jan 13, 2013 Eric Bell rated it liked it
Nice book on data visualization, but could have been much shorter, and contained much less code. We need a book written like this book that shares less about the how to the obtain the data and more on the thinking about and visualizing the data.
Ryan
Feb 20, 2013 Ryan rated it it was amazing
Far and away one of the best reads of this type of book in years. I'm a data visualization geek, and his method of presenting ideas (compelling examples, hands-on code and data, and humor) make it a joy. I devoured this book and have used its techniques a number of times. Go Nathan!
Genie
Some good information here but too focused on R as a tool, for my tastes.
Jack
Jan 16, 2012 Jack rated it liked it
Fantastic introduction to the principles and techniques of modern data visualisation.
Lochana Menikarachchi
Jul 31, 2013 Lochana Menikarachchi rated it really liked it
I think I expected too much from this introductory text (Most readers will realize that they already know most of the stuff). Not for experienced folks.
Amani Yamani
Jan 12, 2017 Amani Yamani rated it it was amazing
كتاب رائع لشرح الأمور المعقدة
vanch
Jun 27, 2014 vanch rated it it was amazing
good book for freshman to learn data analysis
Hunter Hustus
Aug 29, 2012 Hunter Hustus rated it really liked it
Good complement to other approaches. Along with Tufte, a must-read for my staff.
Yi
Jul 09, 2015 Yi rated it liked it
Shelves: 中译本
for beginners, have a lot of examples.
Diana
Nov 26, 2014 Diana rated it it was amazing
Super. Wish I had time to do more work in this area.
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dubious 1 6 Feb 07, 2013 01:45PM  
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