Data Visualisation

Data Visualisation day 1

This workshop is designed to give you a thorough introduction to the basics of the R language and how to use it to get data into R and do real things with it in RStudio. The content has been deliberately designed for those who are completely new to R, but also for those who’ve been using R for a while but don’t feel that they particularly “get” the language.
The importance of a reproducible data workflow will also be discussed, and compared with the irreproducible data manipulations that are made when working purely within Excel on data. By the end of today you’ll be able to write code that imports, cleans, analyses and exports data that you can guarantee will work on anyone else’s computer.

 

Objectives

To give an understanding of:
1.    R and RStudio
2.    The R language (vectors, data.frames, lists and more)
3.    Data science (with a small d and s) using the tidyverse
4.    Reproducible code through the use of RStudio Projects
5.    Importing data from Excel, csv and SPSS
6.    Creating static visualisations for publications using ggplot2


Data Visualisation day 2
Creating interactive maps, charts and networks with R and RStudio 
This workshop builds on the previous workshop to introduce you to how to build interactive data visualisations with R and RStudio using htmlwidgets and shiny. 
See https://idn.it.ox.ac.uk/visualisation-showcase for examples of what can be built with Shiny.

 

Objectives
To give an understanding of:
1.  htmlwidgets: packages that allow us to create interactive charts, maps and network diagrams.

2.  Shiny: this is a web framework that allows R users to create fully functioning interactive web applications entirely with R code. 

 

Book Day 1  - 11th November 10:00 - 16:00

 

Book Day 2 - 12th November 10:00 - 16:00

You will need to install two separate software applications onto your machine, R then RStudio. Instructions for installing R have been provided for Mac and Windows but not Linux. If you are using Linux please refer to this page: https://www.stats.bris.ac.uk/R/bin/linux/
R FOR WINDOWS
Select the “Download R” link at the top of the page: https://www.stats.bris.ac.uk/R/bin/windows/base/
Install the application selecting the default options during the installation process.
R FOR MAC
Download the R-3.3.0.pkg from https://www.stats.bris.ac.uk/R/bin/macosx/
Open the installer and select the default options for installation.
RSTUDIO FOR MAC, WINDOWS AND LINUX
Select the appropriate installer from here: https://www.rstudio.com/products/rstudio/download/
Open the installer once downloaded and accept the default options.
 

List of site pages