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 24 hour take home assessment due Fri 21 Aug 7PM
4 Emi Data Storytelling on the Web blogdown, distill, git & github blogdown: Creating Websites with R Markdown
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 4 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 Clearly Communicating with Code devtools, usethis, testthat, roxygen2, pkgdown R Packages Blog entry 2 due Fri 18 Sep 11:55 PM
Midsemester Break (2 weeks)
8 Stuart Stylishly Communicating with Code devtools, usethis, testthat, roxygen2, pkgdown R Packages Assignment due Fri 9 Oct 11:55 PM
9 Stuart Captivating Statistical Presentations xaringan Blog entry 3 due Fri 16 Oct 11:55 PM
10 Guest/Stuart Guest Lecture on Reproducible Research Tools & Analysis Workflow drake Assignment due Fri 23 Oct 11:55 PM
11 Stuart Data Dashboard flexdashboard, shinydashboard Avoid Dashboard Fatigue Blog entry 4 due Fri 30 Oct 11:55 PM
12 Emi/Stuart Presentations Group presentation Tue 3 Nov 4-6:00PM