March 2017
Beginner to intermediate
1065 pages
27h 7m
English
As we can also notice from the scatterplot, whereas most of the samples have a relatively balanced proportion of red or even numbers, these proportions are very small or large in some cases. We could examine the dispersion of those values using a histogram again, but the boxplot is much more interesting, so we will use it instead. Boxplots are representations of the distribution of an attribute. We could have a look at only one attribute by specifying its name as an argument from the boxplot() function. We will instead look at all the arguments at once by giving the data frame as an argument:
boxplot(samples)

Boxplots of all the attributes ...
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