From the course: Data Visualization for Data Analysis and Analytics
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Setting scales in data visualization
From the course: Data Visualization for Data Analysis and Analytics
Setting scales in data visualization
- 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 hot. And finally, we have this last company. A is killing it. B is close behind. And the rest are doing poorly.…
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Contents
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Using the right data4m 21s
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The power of story5m 19s
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Headlines bring focus4m 48s
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Picking the right chart4m 12s
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Exploring chart options6m 11s
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Simple tips and tools for using color in data visualization6m 10s
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Tips for axes, labeling, and legends3m 49s
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Setting scales in data visualization8m 48s
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Some thoughts about tools5m 3s
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Sketching and wireframing your data visualizations5m 21s
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What about leave behinds?2m 36s
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