From the course: Data Visualization for Data Analysis and Analytics
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What about leave behinds?
From the course: Data Visualization for Data Analysis and Analytics
What about leave behinds?
- [Instructor] As I always say, when in doubt, just do less. Show less detail, use less information, edit, remove, simplify. But without exception, the excuse I always hear, especially from my data analyst clients, is that they have to show all the data. Sometimes it's because they feel they need to back up every point they're making with minutia and details, and I can usually get them past that argument. But I never win the next, most common argument, which is that the PowerPoint, or the PDF they're creating, is a leave-behind, not just speaker support for a meeting. And this is a fair point. If you're creating a leave-behind, so you won't be there to walk the audience through the data, then yes, you may have to include more details. But, and this is critical, that does not give you carte blanche to put every detail back in that I might've just started to convince you should come out. You should still work hard to…
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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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