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[[Data Science Communities of Practice]] - UseR!
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<small>[[Data Science Communities of Practice]] - UseR!</small>
  
This page provides summaries of discussions and tutorials organized by '''Use R!''' Community of Practice
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<small>This page provides summaries of discussions and tutorials organized by '''Use R!''' Community of Practice</small>
  
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<nowiki>***</nowiki>Discussion topics at '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''
  
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* General topics:
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** Why R?
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** Best way to start (and keep learning) R
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** [[gccollab:discussion/view/7391599/enevents-and-forums-for-learning-and-talking-about-rfr|Events and Forums for R users]]
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** [[gccollab:discussion/view/7789646/enexcel-rfr|From Excel to R]]
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**[[gccollab:discussion/view/7404883/enwhy-r-r-or-python-no-r-and-pythonfr|R with Python (and other languages/tools)]]
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** Efficient programming in R (coding style, memory-efficient coding, collaboration-ready codes, source control)
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** '''data.table''' for efficient data processing
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**[[gccollab:discussion/view/7909837/enreading-all-sorts-of-data-in-r-efficientlyfr|Reading various kinds of data in R]]
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** Open R codes for GC: on GCcode and GitHub
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** RStudio news and tricks
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* Specialized topics:
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**[[gccollab:discussion/view/7391596/endata-visualization-with-ggplot2-and-its-extensionsfr|'''ggplot2'''  and its extensions for data visualization]]
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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]]
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**'''R Markdown''' for automated and reproducible data science
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** ''Record Linking'' and other Data Engineering tasks in R
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**[[gccollab:discussion/view/7391598/engeospatial-coding-and-visualization-in-rfr|''Geo/Spatial'' coding and visualization in R]]
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** ''Text Analysis'' in R
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** ''Machine Learning and Modeling'' in R
  
Discussion topics at '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''
 
  
* Best way to start and keep learning R
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Webinars and Meetups:
* [[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
 
* Machine Learning and Modeling in R
 
  
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* [[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)
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** 30 Jul 2021: Geospatial data tools in R (code)
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** 16 Jul 2021: Dual Coding - Python and R unite!
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** 9 Jul 2021: Exploring ggplots (recording, code)
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** 2 Jul 2021: Parsing GC Tables (code)
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** 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])
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** Analyzing PSES results using R and Shiny: 21 Apr 2021
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** Building R packages: 16 Apr 2021 - 21 Apr 2021 (recording, code)
  
Webinars at [[gccollab:groups/about/7855030|Friday's "Lunch and Learn Data Science with R" meetups]]:
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*  Webinars at RStudio:   https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)
 
 
* 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)
 

Revision as of 11:04, 27 August 2021

Data Science Communities of Practice - UseR!

This page provides summaries of discussions and tutorials organized by Use R! Community of Practice

***Discussion topics at Use R! gccollab group :


Webinars and Meetups:

  • 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)