knitr::opts_chunk$set(collapse = TRUE, comment = "#>", fig.path = "README-")

Introduction to Data Visualisation and Web Applications Using R

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

Build Status

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.


Course Materials:

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

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