Lecturers

Tutor

Consultations

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

Expectations

Tentative Schedule

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