Exercise

Visualizing a sugar content dataset

In this exercise, you will create a 1-dimensional scatter plot of 25 soft drink sugar content measurements. The aim is to visualize distinct clusters in the dataset as a first step towards identifying candidate decision boundaries.

The dataset with 25 sugar content measurements is stored in the sugar_content column of the data frame df, which has been preloaded for you.

Instructions

100 XP

Load the ggplot2 package.
List the variables in dataframe df.
Complete the scatter plot code. Using the df dataset, plot the sugar content of samples along the x-axis (at y equal to zero).
Write ggplot() code to display sugar content in df as a scatter plot. Can you spot two distinct clusters corresponding to high and low sugar content samples?