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Advanced Data Visualization with R
  • Level Foundation
  • Duration 11 hours
  • Course by Johns Hopkins University
  • Offered by

About

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 third in the Specialization "Data Visualization and Dashboarding in R." Learners come into this course with a foundation using R to make many basic kinds of visualization, primarily with the ggplot2 package. Accordingly, this course focuses on expanding the learners' inventory of data visualization options. Drawing on additional packages to supplement ggplot2, learners will made more variants of traditional figures, as well as venture into spatial data. The course ends make interactive and animated figures. To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming.

Modules

Extensions of Scatterplots

    • 1 Videos
    • 5 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Scatterplot Variations Quiz

1 Videos

  • Variations on Scatterplots

5 Readings

  • Note on Previewing Figures in R Studio
  • Adding Best Fit Lines
  • Drawing Scatterplot Matrices
  • Correlation Plots
  • Dot Plots

More figures for temporal data

    • 1 Videos
    • 3 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Additional Temporal Figures Quiz

1 Videos

  • Variations on Line Plots

3 Readings

  • Shading in a line plot
  • Making a stacked area graph
  • Making dumbbell charts

Flows and Circles

    • 1 Videos
    • 4 Readings
    • 1 PeerReview
    • 1 Assignment
Show info about module content

1 Assignment

  • Flows and Circles Quiz

1 Peer Review

  • Advanced ggplot Figures

1 Videos

  • Flows and Circles

4 Readings

  • Making Alluvial Diagrams
  • Packed Circles Figures
  • Pie Charts
  • A Note About Peer Review Assignments

Choropleths and Bubble Maps

    • 3 Videos
    • 2 Readings
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3 Videos

  • Introduction to Maps
  • Choropleths
  • Bubble Maps

2 Readings

  • Wickham Chapter 7
  • R Graph Gallery for Maps

Maps using Simple Features

    • 1 Videos
    • 3 Readings
    • 1 PeerReview
    • 1 Assignment
Show info about module content

1 Assignment

  • Spatial Figures Quiz

1 Peer Review

  • Spatial Figures Peer Review

1 Videos

  • Simple Features Maps

3 Readings

  • Note on sf library
  • A Note on Data for Simple Features Maps and albersusa
  • Simple Features for R Documentation

Animations with gganimate

    • 3 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • gganimate Quiz

3 Videos

  • gganimate Part 1
  • gganimate Part 2
  • gganimate Part 3

2 Readings

  • Note: Known issue with gganimate
  • gganimate

Plotly

    • 2 Videos
    • 2 Readings
    • 1 PeerReview
    • 1 Assignment
Show info about module content

1 Assignment

  • ggplotly Quiz

1 Peer Review

  • Animations and Interactivity Peer Review

2 Videos

  • ggplotly Part 1
  • ggplotly Part 2

2 Readings

  • Making ggplot figures interactive with ggplotly()
  • Animating ggplot figures with ggplotly
Collin Paschall
Instructor

Collin Paschall