Master-class November 2020: Data Visualisation: Online

This workshop has two objectives – to teach the design principles required to make plots that really stand out for the reader, and to teach the practical skills required to create these plots within R.

 

This course is being held online via Zoom

 

Courses will run on Australian Eastern Daylight Time (UTC +11)*

*Daylight savings

 

 

 

Dates: 
Thursday, November 12, 2020 - Friday, November 13, 2020
Early bird cutoff date: 
Thursday, October 8, 2020
Course details:

Studies have shown that readers will only spend 3 to 8 seconds looking at each plot in a report before deciding whether to invest more time examining that plot or to move on to the next part of the report.

 

This master-class has two objectives – to teach the design principles required to make plots that really have an impact on the reader, and to teach the practical skills required to create these plots within the R software package.

 

Consider the two plots below. In which plot can you easily see the pattern the author wants to convey within the plot, and what you should do as a result of the plot?”

 

 

 

 

 

 

 

This course will be run over 2 days in three sessions per day*:
 

10.00am - 11.30am - Session 1
12.30am - 2.00pm - Session 2
3.00 - 5.00pm - Session 3: exercises and consultation

 
Exercises will be provided and there will be opportunities for consultation with Mark in the afternoon sessions

 

*Australian Eastern Daylight Time (UTC +11)

 

 

 

 

 

 
Master Class - runs over 2 days
Instructor: 

Dr Mark Griffin is the Director of ResearchStats, which is a Division of Insight Research Services Associated (www.insightrsa.com). ResearchStats provides training and consulting in statistics for academic audiences. Mark is also an Industry Fellow with the School of Business, University of Queensland, and has established and written training materials for several of their courses in Business Analytics. Mark serves on the Executive Committee for the Statistical Society of Australia, and is Founding Chair of their Section for Business Analytics. Mark is also the Founding Chair of the Business Analytics Special Interest Group within the International Institute of Business Analysis. To date he has presented over 100 two-day and 30 five-day workshops in statistics around Australia.

Course dates: Thursday 12 November 2020 - Friday 13 November 2020
Course status: Course completed (no new applicants)
Venue: 
Online
Week: 
Week 1
About this course: 

Studies have shown that readers will only spend 3 to 8 seconds looking at each plot in a report before deciding whether to invest more time examining that plot or to move on to the next part of the report (Storytelling with Data, Cole). Hence as a data illustrator we need to design our plots very carefully so that within that very brief time window we have achieved the following aims:
    • To highlight the key pattern that we want readers to take away from the plot (we should not expect readers to be able to identify this pattern for themselves, instead we need to do everything we can to make this pattern obvious to them)
    • To motivate the reader to a “Call to Action” (if the reader simply learns something from a plot then that is of little value more than just entertaining the reader, instead we want to motivate the reader to perform a certain action or make a certain business decision as a result of that plot)
    • Hopefully to motivate the reader to invest additional time and mental effort to discern what else they might be able to learn from that plot.

 

This workshop has two objectives – to teach the design principles required to make plots that really stand out for the reader, and to teach the practical skills required to create these plots within R. (While R is the favoured software of the instructor, participants can use other software during this workshop if they choose. The instructor may not be able to help you with other software.)

 

The workshop is relevant to any employee or consultant who is writing reports or producing PowerPoint slides that really need to stand out for their readers (such as senior managers and clients).

 

Course syllabus: 

 

Day 1

Session 1 - Fundamentals of Plot Design

  • Types of plots
  • What is a Key Message
  • What is a Call to Action
  • What is Instant Recognition

Session 2 - Fundamentals of Data Visualization in R

  • How to produce different basic plots in R
  • How to prepare your data for visualization

 

Day 2

Session 1 - Advanced Data Visualization in R

  • Use of components - colour, size, location, reference lines and arrows, titles, text annotations, and footnotes

Session 2 - Advanced Plot Design

  • How do I use every component in the best way possible to achieve Instant Recognition (for readers to be able to identify the Key Message within the data as quickly and easily as possible)
Course format: 

Each day will be divided into four 1.5 hour sessions. The two sessions each morning will be spent discussing a set of PowerPoint slides. The two sessions each afternoon will be spent doing a set of computer exercises (where for each exercise you will be thinking through both the design elements and the use of computer software).

 

You will need to have R (and preferably R Studio) installed on your computer. You will also need the ggplot2 package from R installed. It is recommended that you have R and R Studio installed prior to the workshop, whereas you can readily install the add-on packages for R during the workshop if you have an internet connection.

 

The prepared exercises will be using data already present within the R environment. You may choose to also explore the application of R to your own data if you choose. You can alternatively use other software packages for your computer exercises, where the instructor may not be able to help you with other software.

Recommended Background: 

Some basic familiarity with the R software package is expected prior to the workshop. The participant does not need to have any previous experience using R for data preparation or data visualization. No knowledge of statistics is required.

Recommended Texts: 

If students would like a head start in using R for data visualization they may choose to look at: https://r-graphics.org/

 

Course fees
Member: 
$1,480
Non Member: 
$2,280
Full time student Member: 
$1,280
Supported by: 

 

 

Venues: 

Delivery of this course is online - via Zoom.

 

Please ensure you have the following:

  • Reliable Internet connection with at least 5Gb per day of data available (i.e. a 5 day course will use about 25Gb of data just on the Zoom application)
  • A computer/laptop with the Zoom application installed (free)
  • A webcam (built in to most laptops)
  • A headset with a microphone (not required but ideal)
  • A second monitor/screen if possible

 

Please also check the course page for specific software requirements (if any).

 

Venue and Timetable: 

You will be attending from home, and each course may specify a slightly different timing schedule. Please expect around 4 "contact" hours per day, with the remainder of the usual working day for exercises, group work and self-directed activities.

All times specified are in Australian Eastern Time (Melbourne/Sydney/Canberra time)