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CPD146 - Advanced Data visualisation with R

Start
8 Dec 2021
End
9 Dec 2021
Schedule
2 sessions
#1.
8 Dec 2021, 9:00 AM 12:00 PM (AEDT)
#2.
9 Dec 2021, 9:00 AM 12:00 PM (AEDT)
Location
Online via Zoom
Spaces left
0

Registration

ABS Sponsored
Non-Member – $460.00
Registration for a non-member of SSA. Available until 3 December.
Non-Member -- Early Bird – $420.00
Early bird registration for a non-member of SSA. Available until 24 November 2021.
SSA Member – $220.00
Registration for both days for an SSA regular member. Available until 3 December 2021.
SSA Member - Early Bird – $190.00
Early bird registration for a SSA regular member. Available until 24 November 2021
SSA Student Member – $120.00
Registration for SSA student member. Available until 3 December 2021.
SSA Student Member -- Early Bird – $100.00
Early bird registration for SSA student member. Available until 24 November 2021.

Registration is closed

The SSA Canberra Branch warmly invites you to a workshop on Advanced Data Visualisation with R, taught by Professor Di Cook and Dr Emi Tanaka.

This workshop will build upon the skills and experience acquired from the "Data Visualisation with R" workshop, which Emi and Di have run successfully several times across multiple SSA branches*, as participants dive deeper into advanced programming with ggplot2 and extensions for interactive graphics, web apps, and so on.

*Note participants need not have attended the "Data Visualisation with R" workshop in order to attend this workshop. However, please see the Requirements and Desired knowledge below.

About the workshop:

Are you familiar with how to use ggplot2 for creating graphics? Do you want to delve deeper into advanced programming with ggplot2, extend your plots with interactivity and embed them in a web app? In this workshop, we teach about the internals of the ggplot2, meta-programming concepts to help you program with ggplot2, and deliver web apps for flexible and effective data visualisation.

The workshop will be hands-on with plenty of practical examples.

Learning objectives:

Day 1

Drawing with the grid package
Internals of ggplot2 and writing extensions
Programming with ggplot2

Day 2

Overview of tools for interactive plots
Digging deeper into reactive elements in shiny
Web apps to deliver effective data visualisation

Target audience:

The workshop is suitable for those who are familiar and comfortable with R and ggplot2.

Please note the workshop is capped at 25 participants, so don't miss out and register as early as possible!

Requirements:

Intermediate R knowledge (you use R on a regular basis, are comfortable writing code from scratch, routinely create data plots using ggplot2, familiar with concepts in Cookbook for R by Winston Chang)
basic statistics (e.g. simple linear regression, hypothesis testing, basic summary statistics and plots)
computer (with ability to install R and R-packages), microphone and web camera
stable internet connection
Install the video conferencing software, zoom and know how to use zoom
Have a (free) account on shinyapps.io

Desirable Skills:

Some familiarity with tidyverse
Understand quasiquotation
Know the S3 object oriented programming system
Familiar with functional programming
Familiarity with shiny

About the presenters:

Dianne Cook is Professor of Business Analytics at Monash University in Melbourne, Australia. She is a world leader in data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit. She is currently focusing on bridging the gap between exploratory graphics and statistical inference. Di is a Fellow of the American Statistical Association, past editor of the Journal of Computational and Graphical Statistics, current editor of the R Journal, elected Ordinary Member of the R Foundation, and elected member of the International Statistical Institute.

Emi Tanaka is a Lecturer in Statistics at Monash University and the incoming President of SSA Vic. She is currently working on a statistical theory for conducting inference using data plots and is an early career researcher in multi-level modelling, and experimental design. She is an experienced and enthusiastic R user and instructor, and regularly teaches university courses and workshops to the broader community on data visualisation, including ggplot2.

Timetable (tentative):

Day 1

9am – 9:45am	Session 1
9:45am – 10am	Break / networking
10am – 10:45am	Session 2
10:45am-11am	Break / networking
11am-11:45am	Session 3
11:45am-12pm	Break / networking

Day 2

9am – 9:45am	Session 4
9:45am – 10am	Break / networking
10am – 10:45am	Session 5
10:45am-11am	Break / networking
11am-11:45am	Session 6
11:45am-12pm	Break / networking

Deadline:

Early bird registrations closes on midnight of Wednesday 24th November 2021.
Regular registrations close on midnight of Friday 3rd December 2021.

Cancellation policy:

Cancellations received prior to midnight of Friday 3rd December 2021 will be refunded, minus a $20 administration fee. From then onwards, no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.