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Visualize This: The Flowingdata Guide To Design, Visualization, And Statistics
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Practical Data Design Tips From A Data Visualization Expert Of The Modern Agedata Doesn?T Decrease; It Is Everincreasing 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 Fullcolor Book, Data Visualization Guru And Author Nathan Yau Uses Stepbystep 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 Yau Offers Stepbystep 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 Datanative 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 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 Dataauthor 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 Datafirst 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 Realworld 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.
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
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- Q: How many pages does this book have? A: This book has three hundred fifty-eight pages. It provides extensive insights into data visualization, featuring step-by-step tutorials.
- Q: What are the dimensions of the book? A: The book measures seven point twenty-five inches in length, one inch in width, and nine point twenty-five inches in height. These dimensions make it a suitable size for both reading and reference.
- Q: What type of binding does this book have? A: This book is available in paperback binding. This makes it lightweight and easy to handle for reading.
- Q: Who is the author of this book? A: The author of this book is Nathan Yau, a recognized expert in data visualization. He is also the creator of the popular website flowingdata.com.
- Q: What category does this book belong to? A: This book falls under the category of Data Modeling & Design. It focuses on practical data visualization techniques.
- Q: How do I apply the concepts from this book? A: You can apply the concepts by following the step-by-step tutorials to visualize your data. The book emphasizes a data-first approach for effective graphics.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It starts with foundational concepts in data visualization and gradually progresses to more complex topics.
- Q: Can I use this book for advanced data visualization techniques? A: Yes, the book includes advanced techniques for data visualization. It teaches you how to explore data and design graphics effectively.
- Q: What is the focus of the tutorials in this book? A: The tutorials focus on creating statistical graphics, geographical maps, and information design. They provide practical tips for visualizing data.
- Q: How should I store this book to keep it in good condition? A: Store the book in a cool, dry place, standing upright or flat to avoid bending the spine. Avoid exposure to direct sunlight to prevent fading.
- Q: Are there any specific care instructions for this book? A: No specific care instructions are needed for this paperback book. However, handle it gently to prevent wear and tear.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or replacement. Most sellers will have a customer service policy to address such issues.
- Q: Can I return this book if I am not satisfied? A: Yes, most sellers allow returns if you are not satisfied with your purchase. Check the seller's return policy for specific details.
- Q: Is this book appropriate for professionals in data fields? A: Yes, this book is appropriate for professionals. It provides valuable insights and techniques that can enhance their data visualization skills.
- Q: What software tools are mentioned in this book? A: The book discusses tools like ActionScript, Flash libraries, PHP, and JavaScript for web graphics, as well as R and Illustrator for print graphics.