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Hi data nerds! 👋 Data visualization and storytelling make an interesting part of a data analyst/ data scientist's job. In today’s video, I’ll be walking you through some of the worst (and common) mistakes in data visualization I have encountered in my career. Designing an effective data visualization needs both art and science (perhaps more art than you would like to admit). With this video, I hope to help you avoid the most important mistakes that you might encounter daily at work, and how not to be fooled by those 😉.
I hope you enjoy this video 😄. Let me know if I missed any important mistakes in the comment below 👇
🔑 TIMESTAMPS
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0:00 - Intro
0:45 - #1 Not knowing context & audience
3:11 - #2 Choosing complex charts instead of simple charts
5:11 - #3 Misleading axes
6:02 - #4 Color overuse 🎨
7:45 - #5 Cluttered charts/ Gestalt principles
10:23 - #6 Lack of visual order
11:20 - #7 Adding text if your viz is not self-explanatory
11:59 - #8 Lack of accessibility
12:50 - #9 Showing too much information at once
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