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This page provides materials and practicals of the data visualisation course held at the University of Bristol, November 2019.

The course uses a variety of data examples, R packages and practical sheets. The easiest way of downloading and installing all dependencies is to install the R package associated with this course, named 'BristolVis'. It can be simply installed by running the following code lines into your R session.

install.packages("drat")
drat::addRepo("statcourses")
install.packages("BristolVis")

• Introduction to R: Slides - R script - Exercises - Solutions.

• Base graphics: Slides - R script - Exercises - Solutions.

• Advanced graphics: Slides - R script - Exercises - Solutions.

• More on advanced graphics: Slides - R script - Exercises - Solutions.

• Interactive plots: Slides - R script - Exercises - Solutions.

• Inroduction to R Markdown: Slides - Exercises - Solutions are as follows:

  • Exercise 1: Rmd file, html output, pdf output, word output.
  • Exercise 2: Rmd file, html output, pdf output, word output.
  • Exercise 3: Rmd file, html output, pdf output, word output.
  • Exercise 4: Rmd file, html output, pdf output, word output.
  • Exercise 5: Rmd file, html output

• Inroduction to Shiny: Slides - Exercises 1 - Exercises 2 - Exercises 3 - Exercises 4.

• Other useful materilas:

  • The R reference card summarises basic concepts of R.
  • The R studio cheat sheet for the ggplot2 summarises functions of the ggplot2 package.
  • The R studio cheat sheet for web applications summarises functions of the shiny package.

The practical exercises and their solutions can be displayed via the BristolVis package using:

vignette("prac_IntroR", package = "BristolVis")
vignette("prac_base", package = "BristolVis")
vignette("prac_advanced", package = "BristolVis")
vignette("prac_AdvMore", package = "BristolVis")
vignette("prac_interactive", package = "BristolVis")
vignette("prac_RMarkdown", package = "BristolVis")
vignette("prac1_shiny", package = "BristolVis")
vignette("prac2_shiny", package = "BristolVis")
vignette("prac3_shiny", package = "BristolVis")
vignette("prac4_shiny", package = "BristolVis")

Solutions of some of these practical exercises can be displayed via the BristolVis package as follows:

vignette("ans_IntroR", package = "BristolVis")
vignette("ans_base", package = "BristolVis")
vignette("ans_advanced", package = "BristolVis")
vignette("ans_AdvMore", package = "BristolVis")
vignette("ans_interactive", package = "BristolVis")

• You can view the entire set of courses delivered by Osama Mahmoud and their associated R packages from his personal website and the stat-courses website.

• You can view the github page created by Chris Penfold for the R Markdown materials associated with this course from here.

• A shiny application developed by Luke McGuinness can be viewed from here.