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Scoop.it!
I think we’ve looked at the very essentials of data visualization, and the post from DB Friends is going to help you to avoid making common mistakes when it comes to visualizing your data. The tools in this post can definitely attract many opinions, so if you feel like you’ve got something to say – leave a comment and we’ll take it from there. 
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Scoop.it!
Data visualization is a powerful tool to communicate complex information in an engaging way. By visualizing information, our brains can synthesize and retain content more effectively, increasing its impact. But if data isn’t properly visualized, it can do more damage than good. The wrong presentation can diminish the data’s message or, worse, misrepresent it entirely. That’s why good data visualization relies on good design. And it’s about more than just choosing the right chart type. It’s about presenting information in a way that is easy to understand and intuitive to navigate, making the viewer do as little legwork as possible. Of course, not all designers are data visualization experts, which is why much of the visual content we see is, well, less than stellar. Here are 10 data visualization mistakes you’re probably making and the quick fixes to remedy them....
Jeff Domansky's insight:
10 great tips torepresent your data with easy-to-comprehend visuals.
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Here's a list of 10 free data visualization tools that are easy to use.