Unless your question is a personal issue or an administrative matter, please do not send us direct email. The ED site is appropriate for questions related to the course material.
Borrow a laptop: If you are enrolled in a MoVE unit and forget your laptop, or do not own one as yet, please visit Monash Connect to borrow a laptop for an activity or part of a day:
Clayton: 7.45AM - 5PM
You may be required to provide proof of ID (student card or personal ID) in order to borrow a laptop. We have a limited amount of laptops available for students to borrow (during semester only). Collect an IT Services ticket when you go to Monash Connect.
We will use the rstudio cloud server. In the future we may have R and Rstudio installed locally. When this happens, you can use USB stick, attach to the borrowed laptop, and install R, RStudio and all your packages on this. Use can then use the USB stick as your working environment, with the borrowed laptop simply as the computing engine.
Week 1: Introduction to the language of data analysis.
Week 2: Tidy data principles, reshaping your data into tidy form, and basic data wrangling
Week 3: Plotting your data, and wrangling temporal data
Week 4: Advanced wrangling, joining tables, and advanced data visualisation
Week 5: Handling missing values and scraping data
Week 6: Introduction to modeling, and programming (Also an Exam for the first hour of Wednesday)
Week 7: Intermediate models and programming
Week 8: Analysing text data
Week 9: Wrangling, plotting and modeling network data
Week 10: Computational modeling, and good data collection practices
Week 12: Project presentations
Assignment 2 Due 5pm, Thursday, September 5th: Instructions zip (Unzip the file and double click on the rstudio project, “assignment-2-2019-s2.Rproj” This contains the data and Rmd file). Note that the assignment is also on rstudio.cloud as well under assignment-2-2019-s2.
Assignment 3 Due 5pm, Friday, October 11: (Assignment will be released by Friday, September 20th)
There are several ways to do the storyboard:
learnr package that the lecture notes are written in. Example files with css
- flexdashboard package, and there is an example here
- or a basic shiny app
Past Example projects from ETC1010:
Examples from different web sites: