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EDA.qmd
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EDA.qmd
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@ -433,8 +433,8 @@ In the exercises, you'll be challenged to figure out why.
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`cut` is an ordered factor: fair is worse than good, which is worse than very good and so on.
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Many categorical variables don't have such an intrinsic order, so you might want to reorder them to make a more informative display.
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One way to do that is with the `fct_reorder()` function.
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One way to do that is with `fct_reorder()`.
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You'll learn more about that function in @sec-modifying-factor-order, but we wanted to give you a quick preview here because it's so useful.
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For example, take the `class` variable in the `mpg` dataset.
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You might be interested to know how highway mileage varies across classes:
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@ -153,7 +153,7 @@ Those operations are described in the sections below.
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How can you find out with a table?
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How can you find out with a visualization?
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## Modifying factor order
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## Modifying factor order {#sec-modifying-factor-order}
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It's often useful to change the order of the factor levels in a visualization.
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For example, imagine you want to explore the average number of hours spent watching TV per day across religions:
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