7 most common data visualization mistakes

In my last article, I mentioned some of the best tools for data visualization. While all of them were powerful tools, they are only as useful as the hands they are in. Selection of the right tool is just the first step, the bigger job is to create an easy-to-understand visualization that makes data interesting and unambiguous. In dataviz, as in any other field, there are rules, best practices, guidelines and then there is common sense. And contrary to what we might believe, common sense gets ignored quite often, as we’ll see in the examples below. Let’s get started with…

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