R Data Analysis Cookbook, Second Edition - Second Edition

How it works...

Step 1: All geom_histogram() geometry requires is a single quantitative column from a data frame or a single vector of data. In this recipe, we use the faithful dataset, which contains data about the Old Faithful geyser in two columns: eruptions, referring to the length of each eruption, and waiting, referring to the length of time until the next eruption.

Step 2: The geom_histogram(), by default, groups data into 30 bins and it may be too fine or too coarse for your data. We can change the size of the bins using the binwidth parameter.

Step 3: We used the density curve to compare the theoretical and observed distributions by overlaying it with the histogram. The area under the density curve always sums to 1. Histogram result ...