A good data visualization is easy to understand and makes the data interesting and unambiguous, but some common mistakes can get in the way of a clear data visualization. Nishith Sharma rounds up the most common mistakes in data visualization and how to correct them, including making sure the numbers add up and using annotations to add meaning to the numbers.
+ Earlier: Tips for producing impactful data visualizations, 5 questions to ask yourself before making a data visualization and more insights on data reporting and visualization
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from American Press Institute http://ift.tt/1JsE9sm
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