UseR!

Data Science Communities of Practice - UseR!

This page provides table of contents for discussions and Tutorials organized by the Use R! gccollab group :

Discussions:

• General topics:
  • Why R?
  • Best way to start (and keep learning) R
  • Events and Forums for R users
  • From Excel to R
  • R with Python (and other languages/tools)
  • Efficient programming in R (coding style, memory-efficient coding, collaboration-ready codes, source control)
  • data.table for efficient data processing
  • Reading various kinds of data in R
  • Open R codes for GC: on GCcode and GitHub
  • RStudio news and tricks
• Specialized topics:
  • ggplot2 and its extensions for data visualization
  • Shiny for Interactive Data Visualization, Analysis and Web App development
  • R Markdown for automated and reproducible data science
  • Record Linking and other Data Engineering tasks in R
  • Geo/Spatial coding and visualization in R
  • Text Analysis in R
  • Machine Learning and Modeling in R

Webinars and Tutorials:

• Friday's "Lunch and Learn Data Science with R" meetups - See gccollab group Files for all video-recoding and notes. (NB: you need to join the group to access to these files)
  • 30 Jul 2021: Geospatial data tools in R (code)
  • 16 Jul 2021: Dual Coding - Python and R unite!
  • 9 Jul 2021: Exploring ggplots (recording, code)
  • 2 Jul 2021: Parsing GC Tables (code)
  • 25 Jun 2021: Using the Open Government Portal API within R (recording, code on github.com/open-canada)
  • Analyzing PSES results using R and Shiny: 21 Apr 2021
  • Building R packages: 16 Apr 2021 - 21 Apr 2021 (recording, code)

• Webinars at RStudio - https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)