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Line 1: − + − + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + − + − Discussion topics at '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''+ − − * Best way to start and keep learning R − * [[gccollab:discussion/view/7404883/enwhy-r-r-or-python-no-r-and-pythonfr|R with Python]] − * [[gccollab:discussion/view/7789646/enexcel-rfr|From Excel to 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 − * RStudio news and tricks − * [[gccollab:discussion/view/7391599/enevents-and-forums-for-learning-and-talking-about-rfr|Events and Forums for R users]] − * '''data.table''' for efficient data processing − * [[gccollab:discussion/view/7391596/endata-visualization-with-ggplot2-and-its-extensionsfr|'''ggplot2''' and its extensions for data visualization]] − * [[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 − * 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]] − * Text Analysis in R − − − − − − * 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 ([[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 − * Building R packages: 16 Apr 2021 - 21 Apr 2021 (recording, code) − − See group [[gccollab:file/group/7855030/all|Files]] for all video-recoding and notes. NB: you need to join the group to be granted access to these files − − − Webinars at RStudio: https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)
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[[Data Science Communities of Practice]] - UseR!
<small>[[Data Science Communities of Practice]] - UseR!</small>
This page provides summaries of discussions and tutorials organized by '''Use R!''' Community of Practice
====== 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:
** Why 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/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)]]
** Efficient programming in R (coding style, memory-efficient coding, collaboration-ready codes, source control)
**'''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]]
** Open R codes for GC: on GCcode and GitHub
** RStudio news and tricks
* Specialized topics:
**[[gccollab:discussion/view/7391596/endata-visualization-with-ggplot2-and-its-extensionsfr|'''ggplot2''' and its extensions for data visualization]]
**[[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
**''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]]
**''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 [[gccollab:groups/about/7855030|"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 ([[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
** 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
* Machine Learning and Modeling in R
Webinars at [[gccollab:groups/about/7855030|Friday's "Lunch and Learn Data Science with R" meetups]]:
