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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.

When you submit your code, your R script is executed and the output is shown in the console/shell. DataCamp checks whether your submission is correct and gives you feedback. You can submit your code as often as you want. If you're stuck, you can ask for a hint or a solution by clicking the lightbulb icon.

You can use the console/shell 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!

This exercise is part of the course

Introduction to the Tidyverse

View Course

Exercise instructions

  • 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.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Load the gapminder package
library(gapminder)

# Load the dplyr package


# Look at the gapminder dataset
Edit and Run Code