You Risk Producing Phone Number List Visualizations

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bithee32
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Joined: Thu Jun 09, 2022 10:34 am

You Risk Producing Phone Number List Visualizations

Post by bithee32 »

That confuse or mislead your audience and it causes a struggle to In determining the right insights to make wise business decisions. Data Viz Charts Take, for example, Chart 1 above. Can you easily count the number of 7’s in the chart? That probably took you phone number list some time to do, scanning each particular value, then identifying if the value was a 7 or not. Next, look at Chart 2. Does your ability to count the number of 7s change? If your answer is “Yes!” then phone number list taking advantage of “preattentive attributes, or things our brains process in milliseconds, before we pay attention to everything else” as is explained in Steve Wexler, Jeffrey Shaffer, and Andy Cotgreave’s The Big Book of Dashboards.

Coloring the 7’s with red, then defaulting all other numbers to grey, helps your brain spend less time processing if a number is 7 out of the nine phone number list, simplifying the question at hand to whether or not a value is red or grey. Alternatively, sizing could phone number list been used as another method of simplifying the key information your brain needs to process (is the number big or small?), as shown in Chart 3. However, looking at Chart 4, the use of coloring for phone number list distinct number makes it just as hard to count the number of 7’s as Chart 1.

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This is why it’s so important for data visualization to be driven by the questions being asked by you, the marketer, to help provide data visualizations that efficiently use concepts like preattentive attributes to reveal the answers to your questions. In Chart 5, the phone number list goes a step further. Using preattentive attributes to highlight the data you care to highlight, while also using a core function of data visualization – aggregation – to convert the information from Charts 1-4 into a phone number list bar chart that pre-counts the data for you. Now you can clearly see that there are 14 number 7’s in the data, without having to scan the table in Chart 2 and count up the 7’s yourself.
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