Overview of contents #

Rationale #

In many cases, R will be used to communicate data.

A whole course (or suite of courses) could be dedicated to data communication. This is just an introduction, focusing on how R can support such communication.

When using R, this will involve the following steps:

1. Extract and “Clean” raw data
2. Analyse data and create visualisation
3. Produce them in a chosen medium for communication

On this website we explain the basics of how some of those steps can be performed:

1. Manipulate data
2. Visualise data
3. Produce media

Of course, this all starts with understanding R, so we start with Base R. This structure is reflected on the side.

References #

Main references are:

• Base R:
  • The R Software
  • some LinkedIn Learning videos which are referenced in the materials
• tidyverse and advanced data visualisation:
  • tidyverse
  • R for Data Science
  • some LinkedIn Learning videos which are referenced in the materials
• production of media:
  • R for Data Science, “Communicate” section
  • bookdown
  • blogdown
  • some LinkedIn Learning videos which are referenced in the materials

Credentials #

Those materials were created by the following people, while being employed in the institutions in parentheses

• Benjamin Avanzi (University of New South Wales, University of Melbourne) — for all contents
• Pierre Lafaye de Micheaux (Université de Montréal, University of New South Wales, Université de Montpellier) — especially for Base R contents
• Xinda Yang (University of New South Wales) — especially for Base R contents and some tidyverse and data visualisation contents
• Johnny Wong (University of New South Wales) — especially for dplyr contents
• Alan Xian (University of New South Wales, Macquarie University) — especially for Base R contents and some tidyverse and data visualisation contents
• Guillaume Boglioni Beaulieu (University of New South Wales) — especially for Base R contents and some tidyverse and data visualisation contents
• Arkington Owen (University of New South Wales) — for Base R contents to a limited extent, but especially for the tidyverse, advanced data visualisation contents, and document generation via R Markdown contents

It all started with an initial set of slides on Base R that were created by Pierre Lafaye de Micheaux, and aligned with textbook The R Software. Contents were then re-developped and augmented for a first year course taught by Benjamin Avanzi collaboratively with Xinda Yang, which was subsequently taught by Alan Xian and Guillaume Boglioni Beaulieu. The tidyverse, advanced data visualisation, and document generation via R Markdown contents were developed for a data visualisation course by Benjamin Avanzi with the assistance of Arkington Owen.