Data Visualization in R with ggplot2
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Data Visualization in R with ggplot2
This course is part of Data Visualization & Dashboarding with R Specialization
Instructor: Collin Paschall
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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 videos•Total 26 minutes
- Welcome to the Course•3 minutes
- Getting Started with ggplot Part 1•7 minutes
- Getting Started with ggplot Part 2•9 minutes
- Distributions•7 minutes
11 readings•Total 160 minutes
- Note on Previewing Figures in R Studio•5 minutes
- Wickham et al, Chapters 1 and 2•30 minutes
- ggplot Cheat Sheet•15 minutes
- ggplot2 Overview and Reference•15 minutes
- R Graphics Cookbook - Scatter Plots•30 minutes
- Sample Data•5 minutes
- R Graphics Cookbook - Histograms•20 minutes
- R Graphics Cookbook - Box Plots•10 minutes
- R Graphics Cookbook - Making a Density Plot•10 minutes
- R Graphics Cookbook - Making a Violin Plot•10 minutes
- A Note About Peer Review Assignments•10 minutes
2 assignments•Total 15 minutes
- ggplot2 Introduction and Scatter Plots•10 minutes
- Univariate Figures Quiz•5 minutes
1 peer review•Total 60 minutes
- Practice with Univariate Figures and Scatter Plots•60 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 videos•Total 39 minutes
- Bar Plots Part 1•6 minutes
- Bar Plots Part 2•6 minutes
- Bar Plots Part 3•5 minutes
- Line Plots Part 1•6 minutes
- Line Plots Part 2•4 minutes
- Learning New Figures Part 1•7 minutes
- Learning New Figures Part 2•5 minutes
4 readings•Total 65 minutes
- Bar plots in the R Graph Gallery•10 minutes
- Cookbook for R - Bar and line graphs•15 minutes
- R Graphics Cookbook - Line Graphs•30 minutes
- R Graph Gallery•10 minutes
2 assignments•Total 15 minutes
- Bar plots•5 minutes
- Line plots quiz•10 minutes
1 peer review•Total 60 minutes
- Practice with Bar Plots and Line Plots•60 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 videos•Total 38 minutes
- Annotations Part 1•5 minutes
- Annotations Part 2•6 minutes
- Colors, Legends, and Themes Part 1•8 minutes
- Colors, Legends, and Themes Part 2•6 minutes
- Inkscape Part 1•4 minutes
- Inkscape Part 2•9 minutes
8 readings•Total 140 minutes
- Wickham et al, Chapter 8•20 minutes
- Wickham et al, Chapter 10•30 minutes
- Wickham et al, Chapter 16•15 minutes
- ggplot2 Themes Documentation•15 minutes
- ggthemes Gallery•10 minutes
- Download Page for Inkscape•10 minutes
- Inkscape Tutorial Parts 1-3•30 minutes
- Inkscape Manual Quick Start Section•10 minutes
3 assignments•Total 15 minutes
- Annotations Quiz•5 minutes
- Modifying Graphical Elements and Themes Quiz•5 minutes
- Vector Graphics•5 minutes
1 peer review•Total 120 minutes
- Showcasing Your Skills•120 minutes
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Reviewed on Dec 18, 2024
Great. Well explained and interactive. Simulatenaously going through practical examples to teach, rather than just talking and it becoming a video to watch.
Reviewed on Mar 30, 2021
Extremely useful, clear, and easy to follow course of ggplot2
Reviewed on Sep 27, 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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