- Paperback: 256 pages
- Publisher: For Dummies; 1 edition (January 21, 2014)
- Language: English
- ISBN-10: 1118502892
- ISBN-13: 978-1118502891
- Product Dimensions: 7.4 x 0.4 x 9 inches
- Shipping Weight: 1.1 pounds (View shipping rates and policies)
- Average Customer Review: 14 customer reviews
- Amazon Best Sellers Rank: #758,441 in Books (See Top 100 in Books)
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Data Visualization For Dummies 1st Edition
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From the Publisher
Big Data Is Big Business
When it comes to interpreting the tremendous amounts of information available in today's business world, data visualization is a critical tool. Organizations are clamoring to find visualization experts to help express and explain data in meaningful ways so that their big data can lead to big business.
Get to Know Your Audience
When you think about creating data visualizations, your mind probably goes immediately to the type of chart style you’ll use or the data that will populate it. But, before you make those choices, you need to take a step back and consider who the audience is for your visualization and how you will ensure that it has value to them.
It's About More Than Good Design
It’s true that there are critical decisions that should be made about a variety of details that go into your visualization, but without robust user adoption, it will be a wasted effort. Here are five things you need to consider when creating visualizations that will enthusiastically be used.
Five Ways to Win Users for Your Data Visualizations:
- Understanding Your User's Goals: It would be very easy to establish goals for your visualization if everyone who used them had the same agenda. Unfortunately, this is rarely the case. Even in a small department, users have different needs that may not overlap. While the differences may seem subtle, they really aren't, and the only way to ensure you have a handle on these nuances is to meet with your major stakeholders to identify their needs and secure their buy-in.
- Knowing How Often the Data Will Be Accessed: The data you choose to populate your visualization with is the key to its value. When choosing data you want to be very clear about how often you expect users will need fresh data. Once that is determined, make sure users know when they can expect the data to be refreshed and how to go about accessing new content.
- Choosing the Right Look: When we talk about the right "look", we are referring to things like the type of colors, navigation, fonts, and icons that are used. When creating your visualization, be sure to consider things like colors associated with a company's brand, readability of fonts, and the best way to display your data so that users can navigate it with little to no instruction.
- Displaying Credibility: If users believe that your visualization lacks credibility, no amount of marketing will encourage them to use it, but how do you add something intangible, like credibility, to your design? It's simple if you consistently include copyright information letting users know that you stand by your data, terms and conditions that outline how the visualization can be displayed, and your company logo to help users recognize and remember your brand.
- Announcing Its Availability: Don't make your users find your data by accident. Whether your audience is internal or external, you have to vigorously promote your visualizations to let people know they exist and that they will be maintained and updated on a regular basis. You'll be surprised at how much attention your visualizations can receive with just a little promotion. So, don't be afraid to herald their entrance everywhere you can.
a good place to start if you are involved in capturing information with a view of presenting it to various audiences, but still leaves plenty of room for you to apply your own imagination. (BCS: The Chartered Institute for IT, April 2014) This straightforward colour guide will help you present data in an easy-to-read and interesting manner. (Talk Business, April 2014)
From the Back Cover
- Develop meaningful illustrations of large volumes of data
- Create eye-catching visualizations
- Make your data stand out in a crowd
Forget mind-numbing charts and spreadsheets. Createcompelling visuals that wow!
Data is king, but if you can’t present it in a meaningfulway, you could be missing actionable information. Fromdemonstrating trending and relationships in data to presentingcomplex details and effective visuals, this guide shows you how.You’ll be wowing audiences in no time as you learn how toanalyze and display data to really make an impact.
- Making sense of it all — learn how to add context andapply text analysis to make your data intelligent
- Stand out in style — discover how to add easy-to-usenavigation using the right menu types and apply an effective colorscheme
- Watch your step — follow a checklist as you build yourvisualization to avoid falling into the various traps that canspell doom to a project
- What do you want to say? — find out how to help your datatell interesting stories that give you a competitive edge
Open the book and find:
- Ways to explore common types of data visualizations
- How to turn Big Data problems into opportunities
- Methods for using charts more effectively
- Steps for building your first Big Data visualization
- How to develop a clear mock-up and add stunning visuals
- Examples of good and bad applications of datavisualization
- Tips on avoiding common beginner pitfalls
Top customer reviews
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The entire book is all about very simple topics, e.g., size and color of fonts, arrow placement, history of data viz, etc. It is almost like the authors know nothing at all about interactive visualizations and were just putting this together because the title is flashy and they would make money.
It is true there are references in the back, but I went through all of these and found them little if at all useful. Probably the only benefit I found in the next book is that I plan to read (Data Visualization book by Tufte).
Sorry authors- I'm sure you worked very hard on this book, but I just don't see how this book would help a professional in the least..maybe others will find it more useful.
With the visual nature of this medium, aesthetics, color, placement, "actionability" of the information and interactions users can perform with the solution are all critical to a successful solution and therefore I feel that chapters 7 to 9 of this book is worth the book's weight in platinum ... let me explain why I write that. Even with multiple data visualization or guided analytic projects under our belts, we still hear business users say "I'll know what I want when I see it.". Using the prescribed process outlined in those chapters of this book guided us to getting through that phase and achieved a WELL-DEFINED TARGET at the end.
Before you take on a dashboard effort, read this book and encourage your business clients to read it as well so that the appropriate expectations are set and the same successful approach we benefited from is laid out by the book for every one of your project participants to understand.
If you want a click-by-click guide on how to create a dashboard, download the PDF user guide of your dashboard software of choice. But if you want to learn how to go about conducting a successful data visualization effort, read this book.
Most recent customer reviews
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