A straightforward, full-color guide to showcasing data so your audience can see what you mean, not just read about it
Big data is big news! Every company, industry, not-for-profit, and government agency wants and needs to analyze and leverage datasets that can quickly become ponderously large. Data visualization software enables different industries to present information in ways that are memorable and relevant to their mission. This full-color guide introduces you to a variety of ways to handle and synthesize data in much more interesting ways than mere columns and rows of numbers.
Learn meaningful ways to show trending and relationships, how to convey complex data in a clear, concise diagram, ways to create eye-catching visualizations, and much more!
* Effective data analysis involves learning how to synthesize data, especially big data, into a story and present that story in a way that resonates with the audience
* This full-color guide shows you how to analyze large amounts of data, communicate complex data in a meaningful way, and quickly slice data into various views
* Explains how to automate redundant reporting and analyses, create eye-catching visualizations, and use statistical graphics and thematic cartography
* Enables you to present vast amounts of data in ways that won't overwhelm your audience
Part technical manual and part analytical guidebook, Data Visualization For Dummies is the perfect tool for transforming dull tables and charts into high-impact visuals your audience will notice...and remember.
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Mico Yuk is founder of BIBrainz.com and BIDashboardFormula.com. She is a Business Intelligence coach, global keynote speaker, and analytics blogger. Stephanie Diamond is a former marketing director for AOL, founder of MarketingMessageMindset.com, and the author of seven business books, including Social CRM For Dummies.
<ul> <li>Develop meaningful illustrations of large volumes of data</li> <li>Create eye-catching visualizations</li> <li>Make your data stand out in a crowd</li> </ul> <p><b>Forget mind-numbing charts and spreadsheets. Create compelling visuals that wow!</b></p> <p>Data is king, but if you can’t present it in a meaningful way, you could be missing actionable information. From demonstrating trending and relationships in data to presenting complex details and effective visuals, this guide shows you how. You’ll be wowing audiences in no time as you learn how to analyze and display data to really make an impact.</p> <ul> <li>Making sense of it all — learn how to add context and apply text analysis to make your data intelligent</li> <li>Stand out in style — discover how to add easy-to-use navigation using the right menu types and apply an effective color scheme</li> <li>Watch your step — follow a checklist as you build your visualization to avoid falling into the various traps that can spell doom to a project</li> <li>What do you want to say? — find out how to help your data tell interesting stories that give you a competitive edge</li> </ul> <p><b>Open the book and find:</b></p> <ul> <li>Ways to explore common types of data visualizations</li> <li>How to turn Big Data problems into opportunities</li> <li>Methods for using charts more effectively</li> <li>Steps for building your first Big Data visualization</li> <li>How to develop a clear mock-up and add stunning visuals</li> <li>Examples of good and bad applications of data visualization</li> <li>Tips on avoiding common beginner pitfalls</li> </ul>
* 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. Create compelling visuals that wow!
Data is king, but if you can't present it in a meaningful way, you could be missing actionable information. From demonstrating trending and relationships in data to presenting complex details and effective visuals, this guide shows you how. You'll be wowing audiences in no time as you learn how to analyze and display data to really make an impact.
* Making sense of it all -- learn how to add context and apply text analysis to make your data intelligent
* Stand out in style -- discover how to add easy-to-use navigation using the right menu types and apply an effective color scheme
* Watch your step -- follow a checklist as you build your visualization to avoid falling into the various traps that can spell doom to a project
* What do you want to say? -- find out how to help your data tell 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 data visualization
* Tips on avoiding common beginner pitfalls
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