ETC5523: Communicating with Data

Lecturers

• Emi Tanaka (Chief Examiner)
• Stuart Lee

Tutor

• Mitchell O’Hara-Wild

Consultations

All consultations will be in using zoom. Check Moodle for the links.

• Emi Tanaka: Fri 3.30-4.30pm (Wk 1-2,4-6), Thu 12.30-1.30pm (wk 3)
• Stuart Lee: Fri 3.30-4.30pm (Wk 7-12)
• Mitchell O’Hara-Wild: Tue 2.30-4.00pm (Wk 2-12)
• R Help Desk: Tue 6-8pm and Fri 11-12pm by Mitchell O’Hara Wild

Expectations

• Unless your question is a personal issue or an administrative matter, please do not send us direct email. The moodle discussion forum is appropriate for questions related to the course.
• For personal or private administrative issues, the email contact is: ETC5523.Clayton-x@monash.edu
• Lectures are recorded, and you are expected to have either attended the lecture, or watched the recordings fully, prior to the tutorial for the week.
• Tutorials may not be recorded, and attendance is expected.
• If you register after the start of the semester or if you miss a lecture/tutorial, it is your responsibility to catch up with missed material, learn about due dates for material to be turned in, and getting assigned to a group for team work, as necessary.
• The computer software R and RStudio will be used for the unit.

Tentative Schedule

• Lectures: Tue 4-6pm on zoom (see Moodle for link)
• Tutorial A: Wed 4-5.30pm on zoom (see Moodle for link)
• Tutorial B: Thu 5-6.30pm on zoom (see Moodle for link)

There are no lectures or tutorials during the midsemester break.

Week	Lecturer	Slides	Tutorial	Topic	Tools	Readings	Assessments
1	Emi			Advanced Reproducible Practices	rmarkdown, bookdown	R Markdown: The Definitive Guide
2	Emi			Introduction to Web and Data Technologies	HTML/CSS/JS, htmlwidgets, crosstalk	Introduction to Data Technologies Ch 2-8
3	Emi			Fashionable Model Output and Data Tables	broom, kableExtra, knitr, DT, formattable	stargazer: Well-Formatted Regression and Summary Statistics Tables and Ten Guidelines for Better Tables
4	Emi			Data Storytelling on the Web	blogdown, distill, git & github	blogdown: Creating Websites with R Markdown	24 hour take home assessment due Tue 24 Aug 7PM
5	Emi			Communicating Data with Interactive Web Apps	shiny, plotly	Interactive web-based data visualization with R, plotly, and shiny, Mastering Shiny (WIP)	Blog entry 1 due Fri 3 Sep 11:55 PM
6	Emi			Effective Data Visualisation	ggplot, colorspace	colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes, Fundamentals of Data Visualization
7	Stuart			Interactive data visualisation	plotly		Video group discussion due Fri 17 Sep 11:55 PM
Midsemester Break (2 weeks)
8	Stuart			Data Dashboard	flexdashboard, shinydashboard	Avoid Dashboard Fatigue	48 hour assessment due Fri 22 Oct 11:55 PM
9	Stuart			Captivating Statistical Presentations	xaringan		Blog entry 2 due Fri 24 Sep 11:55 PM
10	Stuart			Clearly Communicating with Code	devtools, usethis, testthat, roxygen2, pkgdown	R Packages	Video group discussion due Fri 31 Sep 11:55 PM
11	Stuart			Stylishly Communicating with Code	devtools, usethis, testthat, roxygen2, pkgdown	R Packages	48 hour assessment due Fri 8 Oct 11:55 PM
12	Stuart			Reproducible Research Tools & Analysis Workflow	drake		Video group presentation due Fri 22 Oct 11:55 PM