Well done! Of course, you can also visualize data that are stored in each column. For numeric values, you can use histograms. Recall that you can draw a histogram using hist(). We'll use the dollar sign ($) to specify the column we wish to visualize:
hist(cities$population)
This will display a histogram of population values to the output console:
As you can see from the picture, most of the candidate cities have less than one million inhabitants, but there are still some outliers that are heavily populated (like Paris and Berlin).
What does the distribution look like for country populations? Given that population values are stored for each country in the population column of the countries data frame, display a histogram of that population data.
hist() function on the
population column from the
countries data frame.
