DOWNLOAD PDF ↠ Visualize This: The FlowingData Guide to Design, Visualization, and Statistics - by Nathan Yau

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

  • Title: Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
  • Author: Nathan Yau
  • ISBN: 9780470944882
  • Page: 474
  • Format: Paperback
  • 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 ThanksPractical 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, data visualization guru and author Nathan Yau uses step by step tutorials to show you how to visualize and tell stories with data He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata, Nathan Yau Offers step by step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.
    Visualize This The FlowingData Guide to Design Visualization and Statistics 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

    One thought on “Visualize This: The FlowingData Guide to Design, Visualization, and Statistics”

    1. 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 is written in such an esoteric way I wish it were a wiki so that people could provide examples or make it sound 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 Inkscape.I would r [...]

    2. 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 and art Lacks materials about animation and interactive visualiza [...]

    3. 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 moving hav [...]

    4. 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 this bo [...]

    5. Visualize This is a book about designing visualizations for data graphs 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 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 directly scientific out [...]

    6. 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, you ll [...]

    7. 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 sepe [...]

    8. 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 t [...]

    9. 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 for inte [...]

    10. 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 not skip [...]

    11. 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 practical, which I find better than the book data point, which is just theory Nathan Yau also presents his background in da [...]

    12. 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, but I m sure a [...]

    13. 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 many ye [...]

    14. 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 fl [...]

    15. 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 separate from the actual exercises This made it hard to read on the train.

    16. 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

    17. 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.

    18. 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.

    19. 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.

    20. 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

    21. 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 on the thinking about and visualizing the data.

    22. 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

    23. 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.

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