Lecturers

Tutors

Consultations

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

Tentative Schedule

There are no lectures or tutorials during the midsemester break.

Week Lecturer Slides Tutorial Topic Tools Readings Assessments
0 Emi Information
1 Emi A: ; B: Advanced Reproducible Practices rmarkdown, bookdown R Markdown: The Definitive Guide
2 Emi A: ; B: Introduction to Web and Data Technologies HTML/CSS/JS, htmlwidgets, crosstalk Introduction to Data Technologies Ch 2-8
3 Emi A: ; B: Fashionable Model Output and Data Tables broom, kableExtra, knitr, DT, formattable Ten Guidelines for Better Tables
4 Emi Data Storytelling on the Web rmarkdown, distill, git & github Distill for R Markdown
5 Emi Communicating Data with Interactive Web Apps shiny, plotly Mastering Shiny (WIP) 24 hour take home assessment due Tue 24 Aug 7PM
6 Emi A: ; B: Effective Data Visualisation ggplot, colorspace colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes, Fundamentals of Data Visualization Blog entry 1 due Fri 3 Sep 11:55 PM
7 Stuart Interactive data visualisation plotly Interactive web-based data visualization with R, plotly, and shiny Video group discussion 1 due Fri 10 Sep 11:55 PM
8 Stuart Data Dashboard flexdashboard, shinydashboard Avoid Dashboard Fatigue Blog entry 2 due Fri 17 Sep 11:55 PM
9 Stuart Captivating Statistical Presentations xaringan 48 hour assessment due Fri 24 Sep 11:55 PM
Midsemester Break (1 week)
10 Stuart Clearly Communicating with Code devtools, usethis, testthat, roxygen2, pkgdown R Packages Video group discussion 2 due Fri 8 Oct 11:55 PM
11 Stuart Stylishly Communicating with Code devtools, usethis, testthat, roxygen2, pkgdown R Packages Video group presentation due Fri 15 Oct 11:55 PM
12 Stuart Reproducible Research Tools & Analysis Workflow targets 48 hour assessment due Fri 22 Oct 11:55 PM

Expectations