From the course: Data Visualization for Data Analysts and Analytics

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Setting scales in data visualization

Setting scales in data visualization

From the course: Data Visualization for Data Analysts and Analytics

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Setting scales in data visualization

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Data analysts of all people, probably know the basic rules about how to think about scale and data visualization, but I'm going to repeat them here because I've had some debates, even with very experienced data people, about the most basic rule of them all. And the reason the rule is so important is because of those Gestalt principles that we talked about earlier. So to start, I'm going to share a few charts. All right. So here's a chart. This is a company's sales figures for its six regions. So A is doing definitely the best, B is doing pretty well. And then C, D, E, and F, yeah, they're doing okay, but they're certainly not doing as well as the others. Here's another company. Also has six regions, and wow, all six regions are doing very poorly. And yeah, I guess A is the best, but not so high. And finally, we have this last company. A is killing it, B is close behind, and the rest are doing poorly, especially F, who has barely sold anything, right? So you're all data analysts who…

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