README.md

In statcourses/BristolVis: Data visualisation and web applications course

Introduction to Data Visualisation and Web Applications Using R

By: Osama Mahmoud, Luke A. McGuinness and Chris Penfold

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

Installing the BristolVis package

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")

Course Materials:

• 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.

Usage of practicals via BristolVis

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")

Other resources

• 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.

statcourses/BristolVis documentation built on Jan. 31, 2021, 9:24 p.m.