Difference between revisions of "UseR!"
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| − | + | [[Data Science Communities of Practice]] - UseR! | |
| − | + | This page provides table of contents for discussions and Tutorials organized by '''the''' '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :''' | |
| − | + | ||
| + | Discussions: | ||
* General topics: | * General topics: | ||
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| − | Webinars and | + | Webinars and Tutorials: |
| − | * [[gccollab:groups/about/7855030|Friday's "Lunch and Learn Data Science with R" meetups]] | + | * [[gccollab:groups/about/7855030|Friday's "Lunch and Learn Data Science with R" meetups]] - See gccollab group [[gccollab:file/group/7855030/all|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) | ** 30 Jul 2021: Geospatial data tools in R (code) | ||
** 16 Jul 2021: Dual Coding - Python and R unite! | ** 16 Jul 2021: Dual Coding - Python and R unite! | ||
| Line 37: | Line 38: | ||
** Building R packages: 16 Apr 2021 - 21 Apr 2021 (recording, code) | ** 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) |
Revision as of 11:08, 27 August 2021
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)
