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[[Data Science Communities of Practice]] - UseR!

<small>[[Data Science Communities of Practice]] - UseR!</small>

 

This page provides table of contents for discussions and Tutorials organized by '''the'''  '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''

 

 

* 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

**[[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

 

 

* [[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)

* Webinars and Tutorials (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: 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 !

** 9 Jul 2021: Exploring ggplots (recording, code)

** 9 Jul 2021: Exploring ggplots (recording, code)

** 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])

** 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, code)

** 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)