Red wine tasting

In this exercise, you will have a look at the distributions of ratings for red wines from four different countries. The data are already pre-loaded in a data frame called red_wine_data. Check out the data in order to get a feel for it before you begin!

To obtain a histogram for each type of red wine, you will need to first rearrange the data into subsets. Use the subset() command to do this. Given a data frame, this function returns a new data frame containing only the elements that satisfy some condition. For example, red_wine_data$condition == "France" returns only the subset of data pertaining to French red wines.

Inspect the red_wine_data data frame by printing it to the console.
Provide some summary statistics for red_wine_data using the describe() function.
Split the data frame into one subset per country, as instructed above.
Make four new variables that contain the Ratings data from each of the newly created subsets. Use the $ operator.
Code is provided for you to organize your histograms into a 2x2 matrix using the par() function. Don't change this.
Plot a histogram of the ratings for each country using hist(). Display them in the same order as you defined them. Give your histograms sensible titles and label the x-axes with "score"

Exercise

Red wine tasting

Instructions