1. Learn
    2. /
  2. Courses
    3. /
  3. Introduction to the Tidyverse

Exercise

Loading the gapminder and dplyr packages

Before you can work with the gapminder dataset, you'll need to load two R packages that contain the tools for working with it, then display the gapminder dataset so that you can see what it contains.

To your right, you'll see two windows inside which you can enter code: The script.R window, and the R Console. All of your code to solve each exercise must go inside script.R.

If you hit Submit Answer, your R script is executed and the output is shown in the R Console. DataCamp checks whether your submission is correct and gives you feedback. You can hit Submit Answer as often as you want. If you're stuck, you can ask for a hint or a solution.

You can use the R Console interactively by simply typing R code and hitting Enter. When you work in the console directly, your code will not be checked for correctness so it is a great way to experiment and explore.

This course introduces a lot of new concepts, so if you ever need a quick refresher, download the Tidyverse For Beginners Cheat Sheet and keep it handy!

Instructions

100 XP
  • Use the library() function to load the dplyr package, just like we've loaded the gapminder package for you.
  • Type gapminder, on its own line, to look at the gapminder dataset.