Big Data Visualization: 3 Errors To Avoid

Avoid common visualization mistakes. Here’s advice on how to clarify goals and get better results.
There has been a lot of talk about data visualization lately — almost as much as there has been about big data. We’re told that visualization is the best way (or the only way) to understand data, and that if we’re not visualizing it, we’re missing out.
Visualization is a great way to gain and share insight, but many big data teams are doing it the wrong way. How can it be done wrong? It turns out there are several ways to undermine data visualizations. Let’s look at a few of the most common mistakes.

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