The gap between a bad and good data visualization is small. The gap between a good and great data visualization is a vast chasm! The challenge is that we, and our HiPPOs, bring opinions and feelings and our perceptions of what will go viral to the conversation. This is entirely counterproductive to distinguishing between bad, good, and great. What we need instead is a rock-solid understanding of the updraft we face in our quest for greatness, and a standard framework that can help us dispassionately assess quality. Let’s do that today. Learn how to separate bad from good and good from great, and do so using examples that we can…
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