Data Visualization in R with ggplot2

Data Visualization in R with ggplot2

This course is part of Data Visualization & Dashboarding with R Specialization

Instructor: Collin Paschall

Access provided by New York State Department of Labor

9,415 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

4.9

(122 reviews)

Intermediate level

Some related experience required

12 hours to complete

3 weeks at 4 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

4.9

(122 reviews)

Intermediate level

Some related experience required

12 hours to complete

3 weeks at 4 hours a week

Flexible schedule

Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments

Taught in English

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This course is part of the Data Visualization & Dashboarding with R Specialization

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There are 3 modules in this course

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.

This course is the second in a specialization in Data Visualization offered by Johns Hopkins. It is intended for learners who have either have some experience with R and data wrangling in the tidyverse or have taken the previous course in the specialization. The focus in this course learning to use ggplot2 to make a variety of visualizations and to polish those visualizations using tools within ggplot as well as vector graphics editing software. The course will not go into detail about how the data management works behind the scenes.

In this module, we will get started using ggplot2. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.

What's included

4 videos11 readings2 assignments1 peer review

4 videosTotal 25 minutes

Welcome to the Course2 minutesPreview module
Getting Started with ggplot Part 17 minutes
Getting Started with ggplot Part 28 minutes
Distributions6 minutes

11 readingsTotal 160 minutes

Note on Previewing Figures in R Studio5 minutes
Wickham et al, Chapters 1 and 230 minutes
ggplot Cheat Sheet15 minutes
ggplot2 Overview and Reference15 minutes
R Graphics Cookbook - Scatter Plots30 minutes
Sample Data5 minutes
R Graphics Cookbook - Histograms20 minutes
R Graphics Cookbook - Box Plots10 minutes
R Graphics Cookbook - Making a Density Plot10 minutes
R Graphics Cookbook - Making a Violin Plot10 minutes
A Note About Peer Review Assignments10 minutes

2 assignmentsTotal 15 minutes

ggplot2 Introduction and Scatter Plots10 minutes
Univariate Figures Quiz5 minutes

1 peer reviewTotal 60 minutes

Practice with Univariate Figures and Scatter Plots60 minutes

In this module, we will continue working with ggplot, learning additional types of visualization techniques. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.

What's included

7 videos4 readings2 assignments1 peer review

7 videosTotal 38 minutes

Bar Plots Part 16 minutesPreview module
Bar Plots Part 25 minutes
Bar Plots Part 34 minutes
Line Plots Part 15 minutes
Line Plots Part 24 minutes
Learning New Figures Part 17 minutes
Learning New Figures Part 24 minutes

4 readingsTotal 65 minutes

Bar plots in the R Graph Gallery10 minutes
Cookbook for R - Bar and line graphs15 minutes
R Graphics Cookbook - Line Graphs30 minutes
R Graph Gallery10 minutes

2 assignmentsTotal 15 minutes

Bar plots5 minutes
Line plots quiz10 minutes

1 peer reviewTotal 60 minutes

Practice with Bar Plots and Line Plots60 minutes

In this module, we will cover how to refine plots created in ggplot2. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up. Then, at the end of the module, you will submit an assignment for peer review that covers all of the material in this course.

What's included

6 videos8 readings3 assignments1 peer review

6 videosTotal 37 minutes

Annotations Part 14 minutesPreview module
Annotations Part 26 minutes
Colors, Legends, and Themes Part 18 minutes
Colors, Legends, and Themes Part 25 minutes
Inkscape Part 13 minutes
Inkscape Part 28 minutes

8 readingsTotal 140 minutes

Wickham et al, Chapter 820 minutes
Wickham et al, Chapter 1030 minutes
Wickham et al, Chapter 1615 minutes
ggplot2 Themes Documentation15 minutes
ggthemes Gallery10 minutes
Download Page for Inkscape10 minutes
Inkscape Tutorial Parts 1-330 minutes
Inkscape Manual Quick Start Section10 minutes

3 assignmentsTotal 15 minutes

Annotations Quiz5 minutes
Modifying Graphical Elements and Themes Quiz5 minutes
Vector Graphics5 minutes

1 peer reviewTotal 120 minutes

Showcasing Your Skills120 minutes

Instructor

Instructor ratings

4.8 (43 ratings)

Collin Paschall

Johns Hopkins University

5 Courses38,928 learners

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Johns Hopkins University

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4.9

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Reviewed on Apr 19, 2021

Excellent course, learned a lot; looking forward to the next one in the series.

Reviewed on Apr 15, 2021

The course is very interesting. It helped me improve my skills with different graphs and charts

Reviewed on Sep 28, 2021

Excellent introduction to ggplot capabilites and grammar of graphics. Usually the tutorials and ggplot documentation are not enough to reveal it's true potential.

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