DATA 202 (2024) - Resources

Software

• R
• Rstudio and their set of R packages
• Here's a video showing you how to install R and RStudio
• tinytex, a small LaTeX implementation within R
• Shiny
• Mastering Shiny
• SQLite and db browser for SQLite

Datasets

• Kaggle
• Machine Learning datasets at UCI

Online Books, Manuals, Tutorials

• R For Data Science by Garrett Grolemund and Hadley Wickham
• Modern Dive: A ModernDive into R and the Tidyverse
• A short guide to R
• Tutorials from Rstudio
• Tutorials about R especially this Introduction to R
• A guide to Rmarkdown
• Slides from a talk about RStudio basics
• The Book of R
• Debugging R
• Targets: an R packages for workflow pipelines
• Youtube lectures on R and Rstudio by Mike Marin

There are a number of books, most as eBooks, in the VUW library.

Other useful websites

• Google! - it's all here

Cheat Sheets

These are one page reminders of how to do things. Best looked at after you've done a few examples in a tutorial to get the hang of things. The ones marked * won't be needed by most students in the course

• A page full of cheatsheets
• R

Software Carpentry, Code School and edX courses

A set of online tutorials you might like.

• Version Control with Git - Software Carpentry
• Programming with R - Software Carpentry
• R for Reproducible Scientific Analysis - Software Carpentry
• https://www.codeschool.com/courses/try-r
• https://www.codeschool.com/courses/try-git
• https://www.edx.org/course/statistics-r-harvardx-ph525-1x-0

And some other things

• Working with big datasets in R
• For ecologists
• Harvard Data Science Review
• The Hitch Hiker's Guide to Responsible Machine Learning
• Targets: an R package for workflow pipelines
• webscraper.io: a free browser extension for webscraping
• https://allisonhorst.com/
• https://visme.co/blog/best-data-visualizations/
• https://ourworldindata.org/
• https://www.burns-stat.com/documents/books/the-r-inferno/