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Confused price with cut (#190)

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OaCantona 2016-07-25 22:00:06 +02:00 committed by Hadley Wickham
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@ -311,7 +311,7 @@ ggplot(data = diamonds, mapping = aes(x = price, y = ..density..)) +
geom_freqpoly(aes(colour = cut), binwidth = 500) geom_freqpoly(aes(colour = cut), binwidth = 500)
``` ```
There's something rather surprising about this plot - it appears that fair diamonds (the lowest quality) have the highest average cut! But maybe that's because frequency polygons are a little hard to interpret - there's a lot going on in this plot. There's something rather surprising about this plot - it appears that fair diamonds (the lowest quality) have the highest average price! But maybe that's because frequency polygons are a little hard to interpret - there's a lot going on in this plot.
Another alternative to display the distribution of a continuous variable broken down by a categorical variable is the boxplot. A **boxplot** is a type of visual shorthand for a distribution of values that is popular among statisticians. Each boxplot consists of: Another alternative to display the distribution of a continuous variable broken down by a categorical variable is the boxplot. A **boxplot** is a type of visual shorthand for a distribution of values that is popular among statisticians. Each boxplot consists of: