Difference between revisions of "UseR!"
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| − | [[Data Science Communities of Practice]] - UseR! | + | <small>[[Data Science Communities of Practice]] - UseR!</small> |
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| + | ====== This page provides the list of discussions organized by the GCcollab's '''[[gccollab:groups/about/7391537|R4GC (Use R!) community]].''' Please consider contributing to those discussions by joining this community and participating in community's weekly [[gccollab:groups/about/7855030|'''"Lunch and Learn Data Science with R" meetups.''']] ====== | ||
* General topics: | * General topics: | ||
** Why R? | ** Why R? | ||
** Best way to start (and keep learning) R | ** Best way to start (and keep learning) R | ||
| − | ** [[gccollab:discussion/view/7391599/enevents-and-forums-for-learning-and-talking-about-rfr|Events and Forums for R users]] | + | **[[gccollab:discussion/view/7391599/enevents-and-forums-for-learning-and-talking-about-rfr|Events and Forums for R users]] |
| − | ** [[gccollab:discussion/view/7789646/enexcel-rfr|From Excel to R]] | + | **[[gccollab:discussion/view/7789646/enexcel-rfr|From Excel to R]] |
**[[gccollab:discussion/view/7404883/enwhy-r-r-or-python-no-r-and-pythonfr|R with Python (and other languages/tools)]] | **[[gccollab:discussion/view/7404883/enwhy-r-r-or-python-no-r-and-pythonfr|R with Python (and other languages/tools)]] | ||
** Efficient programming in R (coding style, memory-efficient coding, collaboration-ready codes, source control) | ** Efficient programming in R (coding style, memory-efficient coding, collaboration-ready codes, source control) | ||
| − | ** '''data.table''' for efficient data processing | + | **'''data.table''' for efficient data processing |
**[[gccollab:discussion/view/7909837/enreading-all-sorts-of-data-in-r-efficientlyfr|Reading various kinds of data in R]] | **[[gccollab:discussion/view/7909837/enreading-all-sorts-of-data-in-r-efficientlyfr|Reading various kinds of data in R]] | ||
** Open R codes for GC: on GCcode and GitHub | ** Open R codes for GC: on GCcode and GitHub | ||
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**[[gccollab:discussion/view/7391594/enshiny-for-interactive-data-visualization-analysis-and-web-app-developmentfr|'''Shiny''' for Interactive Data Visualization, Analysis and Web App development]] | **[[gccollab:discussion/view/7391594/enshiny-for-interactive-data-visualization-analysis-and-web-app-developmentfr|'''Shiny''' for Interactive Data Visualization, Analysis and Web App development]] | ||
**'''R Markdown''' for automated and reproducible data science | **'''R Markdown''' for automated and reproducible data science | ||
| − | ** ''Record Linking'' and other Data Engineering tasks in R | + | **''Record Linking'' and other Data Engineering tasks in R |
**[[gccollab:discussion/view/7391598/engeospatial-coding-and-visualization-in-rfr|''Geo/Spatial'' coding and visualization in R]] | **[[gccollab:discussion/view/7391598/engeospatial-coding-and-visualization-in-rfr|''Geo/Spatial'' coding and visualization in R]] | ||
| − | ** ''Text Analysis'' in R | + | **''Text Analysis'' in R |
| − | ** ''Machine Learning and Modeling'' in R | + | **''Machine Learning and Modeling'' in R |
| − | + | **Using R with GC data infustructure (gcdocs, AWS, etc) | |
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| − | * [[gccollab:groups/about/7855030| | + | * R4GC community "Lunch and Learn Data Science with R" weekly meetups : (NB: you need to join the [[gccollab:groups/about/7855030|"Lunch and Learn Data Science with R" meetups]] group to access recordings of these sessions) |
| − | ** 30 Jul 2021: | + | ** 12 Nov - 19 Nov 2021: Text Analysis with R follow-up / Converting codes to Shiny App |
| − | ** 16 Jul 2021: Dual Coding - Python and R unite! | + | ** 8 Oct 2021: Text Analysis with R. Part 1: identifying near-duplicate documents |
| − | ** 9 Jul 2021: Exploring ggplots (recording, code) | + | ** 1 Oct 2021: Shiny App to summarize very large, high-dimensional tables (code & app provided) |
| − | ** 2 Jul 2021: Parsing GC Tables (code) | + | ** 30 Jul - 17 Sep 2021: Geo/Spatial coding and visualization with R. (code provided) |
| + | ** 16 Jul 2021: Dual Coding - Python and R unite ! (code provided) | ||
| + | ** 9 Jul 2021: Exploring ggplots (recording, code provided) | ||
| + | ** 2 Jul 2021: Parsing GC Tables (code provided) | ||
** 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]) | ||
| − | ** 21 Apr 2021: 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, | + | ** 16 Apr - 15 May 2021: Building R packages (recording, codes provided) |
* 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) | ||
| + | ** The new insights from these webinars and other R-related blogs and events are discussed at R4GC community meetups | ||
Latest revision as of 08:19, 27 October 2021
Data Science Communities of Practice - UseR!
This page provides the list of discussions organized by the GCcollab's R4GC (Use R!) community. Please consider contributing to those discussions by joining this community and participating in community's weekly "Lunch and Learn Data Science with R" meetups.
- 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
- Using R with GC data infustructure (gcdocs, AWS, etc)
- R4GC community "Lunch and Learn Data Science with R" weekly meetups : (NB: you need to join the "Lunch and Learn Data Science with R" meetups group to access recordings of these sessions)
- 12 Nov - 19 Nov 2021: Text Analysis with R follow-up / Converting codes to Shiny App
- 8 Oct 2021: Text Analysis with R. Part 1: identifying near-duplicate documents
- 1 Oct 2021: Shiny App to summarize very large, high-dimensional tables (code & app provided)
- 30 Jul - 17 Sep 2021: Geo/Spatial coding and visualization with R. (code provided)
- 16 Jul 2021: Dual Coding - Python and R unite ! (code provided)
- 9 Jul 2021: Exploring ggplots (recording, code provided)
- 2 Jul 2021: Parsing GC Tables (code provided)
- 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, codes provided)
- Webinars at RStudio - https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)
- The new insights from these webinars and other R-related blogs and events are discussed at R4GC community meetups
