From the course: Data Visualization: Best Practices
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Being a data fiduciary - Illustrator Tutorial
From the course: Data Visualization: Best Practices
Being a data fiduciary
- [Instructor] Now that you've learned how to identify the right data sets and charts to use, it's important to ensure that you avoid the common pitfalls of data visualization mistakes. Your role when presenting data is to be a data fiduciary, to visualize data in a way that is easy to comprehend while also being the most accurate representation of the information at hand. You see, with big data being such an intricate part of our lives, charts and graphs have become commonplace and commercialized. And these days, organizations of all kinds are trying to hook their audiences with compelling visualizations. But sometimes to a fault. Whether intended or unintended, mistakes in Data Viz are pervasive these days. At best, this can embarrass a brand. At worst, this can lead to false conclusions, further the spread of misinformation, and have real life consequences. Luckily, the most common mistakes in Data Viz are easy…
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Contents
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Being a data fiduciary1m 25s
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Mistake 1: Putting form over function2m 53s
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Mistake 2: Improper use of scales2m 31s
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Mistake 3: Manipulating the axis3m 14s
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Mistake 4: Forcing your audience to do math3m 20s
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Mistake 5: Organizing data passively2m 50s
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Mistake 6: Assuming percentage equals pie3m 47s
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Challenge: Data viz mistakes1m 27s
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Solution: Data viz mistakes2m 55s
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