From the course: Data Management Essential Training

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Common data visualization challenges

Common data visualization challenges

From the course: Data Management Essential Training

Common data visualization challenges

- [Instructor] In the previous video, we talked about best practices. Now, we are going to talk about common challenges. You'll notice these are basically the inverse of our best practices, and if we can avoid these pitfalls, we'll have some excellent data visualizations to show off. One common challenge is overcomplicating things. By adding too many visuals to a report or too many notes and annotations to a specific chart, we can make things overcrowded and hard to understand. We'll also want to make sure our colors are used in moderation. Keep on brand, but make sure the palette used is easy on the eyes, friendly to any color deficiencies, and fits together well. The biggest thing we want to avoid though is to create misleading visuals. An example of this is using scale inappropriately or manipulating axes so the charts show skewed data in a way that leads the person reading it to improper conclusions. Our graphs should display the data in a way that makes it easy to read and the…

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