Difference between revisions of "UseR!"
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Webinars and Tutorials: | 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]] (NB: you need to join the group to access to video-recordings of these sessions) |
** 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 35: | Line 35: | ||
** 2 Jul 2021: Parsing GC Tables (code) | ** 2 Jul 2021: Parsing GC Tables (code) | ||
** 25 Jun 2021: Using the Open Government Portal API within R ([[gccollab:file/view/8864413/envideo-notes-meetup-2021-07-25-using-the-api-for-open-data-portal-within-rfr|recording]], [https://github.com/open-canada/lunch_and_learn_opengov code on github.com/open-canada]) | ** 25 Jun 2021: Using the Open Government Portal API within R ([[gccollab:file/view/8864413/envideo-notes-meetup-2021-07-25-using-the-api-for-open-data-portal-within-rfr|recording]], [https://github.com/open-canada/lunch_and_learn_opengov code on github.com/open-canada]) | ||
| − | ** Analyzing PSES results using R and Shiny | + | ** 21 Apr 2021: Analyzing PSES results using R and Shiny |
| − | ** | + | ** 16 Apr-15 May 2021: Building R packages (recording, code) |
* Webinars at RStudio - https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars) | * Webinars at RStudio - https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars) | ||
Revision as of 11:54, 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 (NB: you need to join the group to access to video-recordings of these sessions)
- 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)
- 21 Apr 2021: Analyzing PSES results using R and Shiny
- 16 Apr-15 May 2021: Building R packages (recording, code)
- Webinars at RStudio - https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)
