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|Use R! group]].''' Please consider contributing to those discussions by joining the '''[[gccollab:groups/about/7391537|Use R! group]]''' and participating in group'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 |
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| − | * [[gccollab:groups/about/7855030| | + | * 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) | ||
Revision as of 20:14, 27 August 2021
Data Science Communities of Practice - UseR!
This page provides the list of discussions organized by the GCcollab's Use R! group. Please consider contributing to those discussions by joining the Use R! group and participating in group'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
- Webinars and Tutorials (NB: you need to join the "Lunch and Learn Data Science with R" meetups group to access 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)
