Download Visualize This: The Flowing Data Guide to Design, by Nathan Yau PDF

By Nathan Yau

Sensible info layout assistance from an information visualization professional of the fashionable ageData doesn?t reduce; it's ever-increasing and will be overwhelming to prepare in a manner that is sensible to its meant viewers. Wouldn?t it's marvelous if lets really visualize information in the sort of means that shall we maximize its capability and inform a narrative in a transparent, concise demeanour? because of the inventive genius of Nathan Yau, we will. With this full-color ebook, information visualization guru and writer Nathan Yau makes use of step by step tutorials to teach you ways to imagine and inform tales with info. He explains the right way to assemble, parse, and structure info after which layout top of the range snap shots that assist you discover and current styles, outliers, and relationships.Presents a distinct method of visualizing and telling tales with info, from an information visualization specialist and the author of flowingdata.com, Nathan YauOffers step by step tutorials and sensible layout counsel for developing statistical pix, geographical maps, and data layout to discover which means within the numbersDetails instruments that may be used to imagine data-native photos for the internet, resembling ActionScript, Flash libraries, personal home page, and JavaScript and instruments to layout photographs for print, similar to R and IllustratorContains a number of examples and outlines of styles and outliers and explains easy methods to convey themVisualize This demonstrates tips on how to clarify facts visually so you might current your details in a fashion that's effortless to appreciate and attractive. From the writer: Telling tales with info writer Nathan Yau a standard mistake in info layout is to procedure a undertaking with a visible structure prior to your facts. This results in portraits that lack context and supply little worth. Visualize This teaches you a data-first procedure. discover what your facts has to claim first, and you'll layout photographs that suggest anything. Visualization and information layout all come more straightforward with perform, and you may increase your talents with each new dataset and undertaking. to start notwithstanding, you wish a formal origin and be aware of what instruments can be found to you (but no longer allow them to bathroom you down). I wrote Visualize This with that during brain. you will be uncovered to quite a few software program and code and bounce correct into real-world datasets for you to research visualization by means of doing, and most significantly be capable to follow what you learn how to your personal facts. 3 facts Visualization Steps: 1) Ask a query (Click image to work out greater model) should you get a dataset, it occasionally is a problem realizing the place to begin, in particular while it is a huge dataset. procedure your facts with an easy interest or a query that you really want responded, and move from there. 2) discover Your information (Click picture to work out greater model) an easy interest usually results in extra questions, that are an excellent consultant for what tales to dig into. What variables are relating to one another? are you able to see adjustments over the years? Are there any positive factors within the facts that stand out? discover all you could approximately your info, as the extra you recognize what is in the back of the numbers, the higher tale you could inform. three) Visualize Your info (Click photo to work out greater model) when you be aware of the real elements of your facts, you could layout portraits the way in which you notice healthy. Use shapes, colours, and sizes that make feel and support inform your tale essentially to readers. whereas the bottom of your charts and graphs will proportion a number of the related homes – bars, slices, dots, and features – the ultimate layout components will and will fluctuate by means of your specified dataset.

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Extra info for Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics

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They of course increase and decrease, but by how much do they change per day? Per week? Per month? Are there periods when the stock went up more than usual? If so, why did it go up? Were there any specific events that triggered the change? As you can see, when you start with a single question as a starting point, it can lead you to additional questions. This isn’t just for time series data, but with all types of data. Try to approach your data in a more exploratory fashion, and you’ll most likely end up with more interesting answers.

What do these circles, bars, and colors represent? William Cleveland and Robert McGill have written about encodings in detail. Some encodings work better than others. But it won’t matter what you choose if readers don’t know what the encodings represent in the first place. If they can’t decode, the time you spend designing your graphic is a waste. Note See Cleveland and McGill’s paper on Graphical Perception and Graphical Methods for Analyzing Data for more on how people encode shapes and colors.

The easiest solution is to store the data as a plain text file with comma-delimited values, but if you have a database set up, you can also store the values in there. Things can get trickier as you run into web pages that use JavaScript to load all their data into view, but the process is still the same. Formatting Data Different visualization tools use different data formats, and the structure you use varies by the story you want to tell. So the more flexible you are with the structure of your data, the more possibilities you can gain.

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