Visualize This by Nathan Yau

Visualize This

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 to the creative genius of Nathan Yau, we can. With this full-color book, da...


Details Visualize This

TitleVisualize This
ISBN9780470944882
Author
Release DateJul 20th, 2011
PublisherWiley
LanguageEnglish
GenreDesign, Nonfiction, Reference, Science
Rating

Reviews Visualize This

  • Chelsea Ursaner
    2015-08-01
    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 ma...
  • Uroš
    2012-02-14
    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 tipsCons:- Lacks subtlety and depth in terms of both science ...
  • Alyson Hurt
    2012-12-29
    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the statistical software R, which I've always found a bit intimidating.Note: Some of the software/frameworks cited are out of date: Protovis is now D3.js, and Flex B...
  • Michael Scott
    2018-07-09
    TODO full review:+ Reads like a primer on information-visualization techniques, plus a primer on interesting software to use the information-visualization techniques in practice. Also comes with various links to meaningful datasets.+ The visuals are rich, interesting, and correctly executed. There is little of the egregious visualization that have annoyed Stephen Few and William S. Cleveland or, for a stricter take, Edward R. Tufte.+++ The data s...
  • Cyrus Molavi
    2017-01-26
    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 d...
  • Eric
    2018-06-26
    I didn’t learn a ton from this book, but there were a few interesting examples. Also it feels a bit dated with some of the examples and technologies employed (though that’s the nature of the discipline).
  • Sweemeng Ng
    2019-01-23
    Some of the tools is out dated. But it is still good insight on what is going on behind making data viz.
  • This Is Not The Michael You're Looking For
    2012-01-12
    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...
  • Jake Losh
    2012-12-01
    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 f...
  • Jonathan Jeckell
    2011-09-09
    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 ma...
  • Gina
    2012-07-04
    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...
  • Yahia El gamal
    2015-05-15
    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...
  • Ariadna73
    2012-01-26
    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 h...
  • Chris
    2014-03-01
    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 i...
  • David
    2017-01-05
    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 ...
  • Leslie
    2013-03-01
    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 particul...
  • Ji
    2014-01-26
    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 t...
  • Brian Kelly
    2014-05-04
    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.
  • Maria
    2015-06-07
    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
    2012-03-17
    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
    2012-01-29
    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.
    2011-12-17
    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
    2013-01-13
    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
    2013-02-20
    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
    2012-08-18
    Some good information here but too focused on R as a tool, for my tastes.
  • Jack
    2012-01-16
    Fantastic introduction to the principles and techniques of modern data visualisation.
  • Lochana Menikarachchi
    2013-07-31
    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
    2017-01-12
    كتاب رائع لشرح الأمور المعقدة
  • vanch
    2014-06-27
    good book for freshman to learn data analysis