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    Randy Krum

    Randy Krum is an infographics and data visualization designer from the Fort Worth, TX area, and host of DataVizTV.com, an online video training site for data visualization. He is the author of the book, Cool Infographics: Effective Communication with Data Visualization and Design, and runs the popular website CoolInfographics.com, the top-ranked curated infographics website where he has shared over 1,500 of the World’s best infographics designs. The Founder and President of the data visualization design firm InfoNewt, instructor of Data Visualization, Dashboard and Infographics Design at Southern Methodist University's Continuing and Professional Education program (CAPE), keynote speaker at conferences and workshops, Organizer of the Dallas-Fort Worth Data Visualization Meetup group with over 1,900 members, and a former VP of Product Development with consumer product companies.


    Data Visualization Design Principles to Create that “Ah-Ha!” Moment

    Your charts suck! You’ve spent massive resources on consumer research, development and product testing, but when it comes time to present your results, your default charts from PowerPoint are nothing special. Learn how to apply core data visualization design principles to create charts that clearly make your audience go “Ah-ha!”

    Product managers, data analysts, engineers, designers and researchers are often expected to effectively communicate their insights to non-data professionals; customers, executives, co-workers or the general public. This audience doesn’t want to see the numbers or the detailed analysis, they just want to understand the insights from the data.

    Good data visualization design means going beyond the default chart settings and designing custom visualizations that reveal insights and tell stories to your audience. These charts and data visualizations are used in presentations, reports, websites, infographics and more. There are hundreds of ways to visualize data, and once you have chosen an appropriate visualization style for your data, you need to customize the design to tell a story and make sure your audience easily understands your message.

    • Simplify your charts to make your data stand out
    • Visually tell your story step-by-step
    • Leverage the Picture Superiority Effect to make your data memorable
    • Use Pre-Attentive Attributes to direct your audience’s focus
    • Build your credibility with data transparency
    • Choose the right types of chart for different datasets
    • Start building your own data visualization toolbox

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