UK -> US spelling, addresses #1160
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# Data visualization {#sec-data-visualisation}
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# Data visualization {#sec-data-visualization}
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```{r}
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#| results: "asis"
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## Summary
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In this chapter, you've learned the basics of data visualization with ggplot2.
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We started with the basic idea that underpins ggplot2: a visualization is a mapping from variables in your data to aesthetic properties like position, colour, size and shape.
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We started with the basic idea that underpins ggplot2: a visualization is a mapping from variables in your data to aesthetic properties like position, color, size and shape.
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You then learned about increasing the complexity and improving the presentation of your plots layer-by-layer.
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You also learned about commonly used plots for visualizing the distribution of a single variable as well as for visualizing relationships between two or more variables, by levering additional aesthetic mappings and/or splitting your plot into small multiples using faceting.
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