Corrected typo in Unusual values (#512)
the unusually wide limits are either on the y-variable or on the x-axis
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EDA.Rmd
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EDA.Rmd
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@ -164,7 +164,7 @@ Many of the questions above will prompt you to explore a relationship *between*
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### Unusual values
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Outliers are observations that are unusual; data points that don't seem to fit the pattern. Sometimes outliers are data entry errors; other times outliers suggest important new science. When you have a lot of data, outliers are sometimes difficult to see in a histogram. For example, take the distribution of the `y` variable from the diamonds dataset. The only evidence of outliers is the unusually wide limits on the y-axis.
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Outliers are observations that are unusual; data points that don't seem to fit the pattern. Sometimes outliers are data entry errors; other times outliers suggest important new science. When you have a lot of data, outliers are sometimes difficult to see in a histogram. For example, take the distribution of the `y` variable from the diamonds dataset. The only evidence of outliers is the unusually wide limits on the x-axis.
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```{r}
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ggplot(diamonds) +
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