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The 12 Basic Principles Of Data Visualization

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The best data in the world won’t be worth anything if no one can understand it. The job of a data analyst is not only to collect and analyze data, but also to present it to the end users and other interested parties who will then act on that data. Here’s where data visualization comes in.

Many data analysts are not necessarily experts in data communication or graphic design. This means a lot of them can be lost in the translation of data from the collection to the presentation in the boardroom. I often find myself teaching data visualization classes to more and more data science teams, who recognize this as an area of weakness.

If your job entails presenting findings from a set of data or analysis to a group of laymen, then it’s part of your job to present it to them in such a way that it’s easy to understand and therefore take appropriate action.

In this post, I’ll share a few tips to help you turn data into actionable insights that people will understand.

Keep your Audience in Mind

Any data visualization should be designed in such a way that it meets the needs of the audience and their information needs. …

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