{"id":11852,"date":"2014-10-23T18:23:48","date_gmt":"2014-10-23T07:23:48","guid":{"rendered":"https:\/\/creately.com\/blog\/?p=11852"},"modified":"2026-03-09T17:33:10","modified_gmt":"2026-03-09T06:33:10","slug":"creating-visual-appeal-for-numbers","status":"publish","type":"post","link":"https:\/\/creately.com\/blog\/diagrams\/creating-visual-appeal-for-numbers\/","title":{"rendered":"Creating Visual Appeal for Numbers Starts with Visualizing Data"},"content":{"rendered":"
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We all like visual presentations. That’s the impetus behind the popularity of infographics<\/a>. According to sources quoted by the Visual Teaching Alliance, our eyes can register 36,000 visual messages<\/a> per hour (Jensen, 1996) and “90 percent of information that comes to the brain is visual” (Hyerle, 2000).<\/p>\n

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What This Article Covers:<\/strong><\/p>\n

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  1. Visual Appeal for Numbers<\/li>\n
  2. Visualizing Mountains of Data<\/li>\n
  3. Follow The Data-Driven Leaders<\/li>\n
  4. Examples From Online Services<\/li>\n
  5. A Chart for Every Situation<\/li>\n
  6. Resources<\/li>\n<\/ol>\n<\/div>\n

    QuickSprout’s Neil Patel points out the oh-so-short attention span we are graced with as humans, putting it somewhere in the neighborhood of a mere 8 seconds but points out that infographics are “thirty times more likely to be read than text.”<\/p>\n

    Using infographic to dress up our numbers is one cool way to share our data, but before we can even think about that, we have to visualize the mountains of data now being collected and determine how to best present it to bosses, clients, customers and those within our organizations who need it for business decisions.<\/p>\n

    And when it comes to visualizing data<\/strong>, Rachel Delacour reminds us in her Wired.com article: aesthetics are not optional.<\/p>\n

    Visual Appeal for Numbers<\/h3>\n

    But too often, turning data sets into graphics happens with little or no respect for aesthetics. And aesthetics are not an optional part of visualizing data. They are crucial in helping us understand what we\u2019re looking at. That\u2019s why it is high time to think about how we all go about handling data and presenting it. — Rachel Delacour, Wired.com<\/p><\/blockquote>\n

    The key to dressing up numbers is knowing how to make sense of those numbers, and how to both present and choose the appropriate means for presentation based on the meaning we want to convey. We want to master the mountains of big data<\/a>, learn how to sift through it for what’s important, and understand how to choose the right chart for the story we want to tell.<\/p>\n

    Visualizing Mountains of Data<\/h3>\n

    Business today works with numerous online services in order to round out, make up for staff, expediency or extra productivity. Ranging from mobile point of sale to email marketing to retail technology to analytics to accounting to customer relationship management to project management. One thing all these services have in common is collecting data that you need to present to your clients or bosses or board members.<\/p>\n

    Some of us cut our teeth on crunching numbers and producing charts. Others, not so much. The challenge is in thinking about data<\/strong>, making sense out of new kinds kinds of data, and choosing an appropriate format for layout and presenting the data.<\/p>\n

    Rapid-Fire Technologies Produce New Data To Analyze<\/h3>\n

    Today, these technologies are not quite new, not exactly emerging, but because they have not been on the scene for decades, learning how to analyze the copious amounts of data produced by them poses challenges, both for understanding and for sharing with others.<\/p>\n

    What are some of these technologies?<\/p>\n