Skip to main content
HomeRIntroduction to the Tidyverse

Introduction to the Tidyverse

4.8+
101 reviews
Beginner

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Start Course for Free
4 Hours16 Videos50 Exercises
317,886 LearnersTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
GroupTraining 2 or more people?Try DataCamp For Business

Loved by learners at thousands of companies


Course Description

This is an introduction to the programming language R, focused on a powerful set of tools known as the Tidyverse. You'll learn the intertwined processes of data manipulation and visualization using the tools dplyr and ggplot2. You'll learn to manipulate data by filtering, sorting, and summarizing a real dataset of historical country data in order to answer exploratory questions. You'll then learn to turn this processed data into informative line plots, bar plots, histograms, and more with the ggplot2 package. You’ll get a taste of the value of exploratory data analysis and the power of Tidyverse tools. This is a suitable introduction for those who have no previous experience in R and are interested in performing data analysis.
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more
Try DataCamp for BusinessFor a bespoke solution book a demo.
  1. 1

    Data wrangling

    Free

    In this chapter, you'll learn to do three things with a table: filter for particular observations, arrange the observations in a desired order, and mutate to add or change a column. You'll see how each of these steps allows you to answer questions about your data.

    Play Chapter Now
    The gapminder dataset
    50 xp
    Loading the gapminder and dplyr packages
    100 xp
    Understanding a data frame
    50 xp
    The filter verb
    50 xp
    Filtering for one year
    100 xp
    Filtering for one country and one year
    100 xp
    The arrange verb
    50 xp
    Arranging observations by life expectancy
    100 xp
    Filtering and arranging
    100 xp
    The mutate verb
    50 xp
    Using mutate to change or create a column
    100 xp
    Combining filter, mutate, and arrange
    100 xp
  2. 2

    Data visualization

    Often a better way to understand and present data as a graph. In this chapter, you'll learn the essential skills of data visualization using the ggplot2 package, and you'll see how the dplyr and ggplot2 packages work closely together to create informative graphs.

    Play Chapter Now
  3. 3

    Grouping and summarizing

    So far you've been answering questions about individual country-year pairs, but you may be interested in aggregations of the data, such as the average life expectancy of all countries within each year. Here you'll learn to use the group by and summarize verbs, which collapse large datasets into manageable summaries.

    Play Chapter Now
  4. 4

    Types of visualizations

    In this chapter, you'll learn how to create line plots, bar plots, histograms, and boxplots. You'll see how each plot requires different methods of data manipulation and preparation, and you’ll understand how each of these plot types plays a different role in data analysis.

    Play Chapter Now

In the following tracks

Associate Data Scientist in RData Analyst with RR DeveloperTidyverse Fundamentals with R

Datasets

Gapminder

Collaborators

Collaborator's avatar
Yashas Roy
Collaborator's avatar
Chester Ismay
David Robinson HeadshotDavid Robinson

Principal Data Scientist at Heap

See More

Don’t just take our word for it

*4.8
from 101 reviews
84%
14%
2%
0%
0%
Sort by
  • Pedro A.
    5 months

    A must in data analysis

  • Mayada A.
    5 months

    The topic was well explained

  • Jin Z.
    6 months

    Great course!

  • Antwyn M.
    6 months

    Enjoyed how the content was presented and the hands-on interactivity with real datasets.

  • Maya I.
    9 months

    Easy to follow and to get the most of it. Encourages you to keep learning

"A must in data analysis"

Pedro A.

"The topic was well explained"

Mayada A.

"Great course!"

Jin Z.

FAQs

Join over 13 million learners and start Introduction to the Tidyverse today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.