Chapter 6. Summarized Data Distributions
This chapter explores how to visualize summarized distributions of data.
6.1 Making a Basic Histogram
You want to make a histogram.
geom_histogram() and map a continuous variable to
x (Figure 6-1):
geom_histogram() requires is one column from a data frame or a
single vector of data. For this example we’ll use the
set, which contains two columns with data about the Old Faithful geyser:
eruptions, which is the length of each eruption, and
is the length of time to the next eruption. We’ll only use the
variable in this example:
#> eruptions waiting
#> 1 3.600 79
#> 2 1.800 54
#> 3 3.333 74
#> ...<266 more rows>...
#> 270 4.417 90
#> 271 1.817 46
#> 272 4.467 74
If you just want to get a quick look at some data that isn’t in a data
frame, you can get the same result by passing in
NULL for the data
frame and giving
ggplot() a vector of values. This would have the same
result as the previous code:
# Store the values in a simple vector
By default, the data is grouped into 30 bins. This number of bins is an arbitrary default value, and may be too fine or too coarse for your data. You can change the size of the ...