Data Visualization using dplyr and ggplot2 in R

Offered By
Coursera Project Network
In this Guided Project, you will:

Understand the use of tidyverse, the dplyr and the ggplot2 package

Manipulate the gapminder dataset using different dplyr verbs

Create different plots from the results of dplyr verbs using ggplot2

Clock2 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R. By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. You will also learn how to use the ggplot2 package to render beautiful plots from the data returned from using the dplyr verbs. Note that this is a follow-up to the project on Data Manipulation with dplyr in R. I recommend that you take the Data Manipulation with dplyr in R project before taking this project. This will give you better experience working on this project.

Skills you will develop

Data ManipulationR ProgrammingGgplot2dplyrData Visualization (DataViz)

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Import packages & dataset

  2. Scatterplots

  3. Additional Aesthetics: Color & Size Aesthetics

  4. Facetting

  5. Visualizing summarized data: Scatterplots

  6. Visualizing summarized data: Line plots

  7. Visualizing summarized data: Bar plots

  8. Visualizing summarized data: Histograms

  9. Visualizing summarized data: Boxplots

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.