From the course: Data Visualization for Data Analysis and Analytics
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Picking the right chart
From the course: Data Visualization for Data Analysis and Analytics
Picking the right chart
- [Narrator] No single short video can teach you what chart to use in every situation, but a lot of people have put thought into guidelines for how to pick the right chart for different types of data. You're not alone trying to figure this out. One example is the graphic continuum created by John Schwabish and Severino Ribecca. As you can see, what it's made up of is different categories of data types, so if you want to show the distribution of values or values over time or you want to compare things in categories, these are the types of visualization forms you might consider under these circumstances. For instance, how might I show a distribution of data? A histogram might be one of the choices available to me, and you see this connector line over here? A histogram uses columns to represent the distribution of data, it says, and so if I scroll over and down, I can see where that connects over here to this type of…
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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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