Download PDF Visualize This The FlowingData Guide to Design Visualization and Statistics

Get Visualize This The FlowingData Guide to Design Visualization and Statistics

Get Visualize This The FlowingData Guide to Design Visualization and Statistics

You can download in the form of an ebook: pdf, kindle ebook, ms word here and more softfile type. Get Visualize This The FlowingData Guide to Design Visualization and Statistics, this is a great books that I think are not only fun to read but also very educational.
Book Details :
Published on: 2011-07-20
Released on:
Original language: English

Practical data design tips from a data visualization expert of the modern ageData doesnt decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldnt 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.com, Nathan YauOffers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbersDetails 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 IllustratorContains numerous examples and descriptions of patterns and outliers and explains how to show themVisualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing. From the Author: Telling Stories with Data Author Nathan Yau A common mistake in data design is to approach a project with a visual layout before looking at your data. This leads to graphics that lack context and provide little value. Visualize This teaches you a data-first approach. Explore what your data has to say first, and you can design graphics that mean something. Visualization and data design all come easier with practice, and you can advance your skills with every new dataset and project. To begin though, you need a proper foundation and know what tools are available to you (but not let them bog you down). I wrote Visualize This with that in mind. You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing, and most importantly be able to apply what you learn to your own data. Three Data Visualization Steps: 1) Ask a Question (Click Graphic to See Larger Version) When you get a dataset, it sometimes is a challenge figuring out where to start, especially when it's a large dataset. Approach your data with a simple curiosity or a question that you want answered, and go from there. 2) Explore Your Data (Click Graphic to See Larger Version) A simple curiosity often leads to more questions, which are a good guide for what stories to dig into. What variables are related to each other Can you see changes over time Are there any features in the data that stand out Find out all you can about your data, because the more you know what's behind the numbers, the better story you can tell. 3) Visualize Your Data (Click Graphic to See Larger Version) Once you know the important parts of your data, you can design graphics the best way you see fit. Use shapes, colors, and sizes that make sense and help tell your story clearly to readers. While the base of your charts and graphs will share many of the same properties – bars, slices, dots, and lines – the final design elements will and should vary by your unique dataset. References - Visualising Data 100 Diagrams That Changed the World by Scott Christianson: Design As Art by Bruno Munari: The Design of Everyday Things by Donald A. Norman: Design for the Real ... New York Times Infographics and data visualizations ... The New York Times definitely has a well-respected team of interactive news developers and infographic designers. However its not always very easy to ... David McCandless: The beauty of data visualization TED ... David McCandless turns complex data sets (like worldwide military spending media buzz Facebook status updates) into beautiful simple diagrams that tease out unseen ... Blog About Infographics and Data Visualization - Cool ... Nathan Yau from FlowingData has created a cool new animated data visualization Two Centuries of Population Animated. The visualization shows the growth and spread of A Very Short History Of Data Science - Forbes The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young onecomputer ... Tutorials for learning R R-bloggers The best way to learn R is by doing. In case you are just getting started with R this free introduction to R tutorial by DataCamp is a great resource as well the ... 11 Ways to Visualize Changes Over Time A Guide FlowingData I like this listing of basic ways to visualize changes over time very much! There might be some additional information that could be interesting Ive held a ... MySQL 5.6 Reference Manual Abstract. This is the MySQL Reference Manual. It documents MySQL 5.6 through 5.6.36 as well as MySQL Cluster releases based on versions 7.3 and 7.4 of ... FlowingData How does the distribution of calories vary by fast food restaurant? Heres a chart that shows all the menu items for ten of the biggest national fast food chains. information aesthetics - Data Visualization & Information ... Data Flow 2: Visualizing Information in Graphic Design Klanten et al. Visual Complexity: Mapping Patterns of Information Manuel Lima: The Wall Street Journal Guide to ...
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