Skip to main content
Raedy Ping avatar

Raedy Ping has completed

Case Study: Exploratory Data Analysis in R

Start course For Free
4 hours
4,800 XP
Statement of Accomplishment Badge

Loved by learners at thousands of companies

Course Description

Once you've started learning tools for data manipulation and visualization like dplyr and ggplot2, this course gives you a chance to use them in action on a real dataset. You'll explore the historical voting of the United Nations General Assembly, including analyzing differences in voting between countries, across time, and among international issues. In the process you'll gain more practice with the dplyr and ggplot2 packages, learn about the broom package for tidying model output, and experience the kind of start-to-finish exploratory analysis common in data science.
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 cleaning and summarizing with dplyr


    The best way to learn data wrangling skills is to apply them to a specific case study. Here you'll learn how to clean and filter the United Nations voting dataset using the dplyr package, and how to summarize it into smaller, interpretable units.

    Play Chapter Now
    The United Nations Voting Dataset
    50 xp
    Filtering rows
    100 xp
    Adding a year column
    100 xp
    Adding a country column
    100 xp
    Grouping and summarizing
    50 xp
    Summarizing the full dataset
    100 xp
    Summarizing by year
    100 xp
    Summarizing by country
    100 xp
    Sorting and filtering summarized data
    50 xp
    Sorting by percentage of "yes" votes
    100 xp
    Filtering summarized output
    100 xp
  2. 2

    Data visualization with ggplot2

    Once you've cleaned and summarized data, you'll want to visualize them to understand trends and extract insights. Here you'll use the ggplot2 package to explore trends in United Nations voting within each country over time.

    Play Chapter Now

In the following tracks

Data Manipulation


Collaborator's avatar
Nick Carchedi
Collaborator's avatar
Tom Jeon
David Robinson HeadshotDavid Robinson

Principal Data Scientist at Heap

See More

Join over 13 million learners and start Case Study: Exploratory Data Analysis in R today!

Create Your Free Account



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