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Data wrangling, exploration, and analysis with R

UBC STAT 545A and 547M

Learn how to

  • explore, groom, visualize, and analyze data
  • make all of that reproducible, reusable, and shareable
  • using R

Selected topics

  • Introduction to R and the RStudio IDE; scripts, the workspace, RStudio Projects
  • Generate reports from R scripts and R Markdown
  • Care and feeding of data in R
  • Data aggregation; "apply" functions, plyr, dplyr
  • Data visualization with ggplot2
  • Graphs and descriptive stats for quantitative and categorical variables
  • Writing R functions
  • Coding style and project organization
  • Version control with Git; collaboration via GitHub
  • Character data; regular expressions
  • Interactive pages, apps, and graphics with Shiny and ggvis
  • Get data off the web and expose data, code, results on the web
  • Distribute data and code via an R package
  • Automate an analytical pipeline, e.g. via Make

More info?

Use the navigation bar above!

\@STAT545 on Twitter

The course organization on GitHub: https://github.com/STAT545-UBC

Repo that creates this website: https://github.com/STAT545-UBC/STAT545-UBC.github.io