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Exploring Datasets
In this section, we will use the built-in datasets to investigate the relationships between continuous variables, such as temperature and airquality. We'll explore and understand the datasets available in R.
Let's begin by executing the following steps:
- Type data() in the command line to list the datasets available in R. You should see something like the following:
- Choose the following datasets: mtcars, air quality, rock, and sleep.
The number of levels only applies to factor data.
- List two variables of each type, the dataset names, and the other columns of this table.
- To view the data type, use the str command (for example, str(airquality) ).
Take a look at the following output screenshot:
- After viewing the preceding datasets, fill in the following table. The first entry has been completed for you. The following table includes all variables of the types num and int:
The outcome should be a completed table, similar to the following:
More details about variables can be found at http://www.statisticshowto.com/types-variables/.