Difference between revisions of "UseR!"
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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 | + | <small>This page provides summaries of discussions and tutorials organized by '''Use R!''' Community of Practice</small> |
| + | <nowiki>***</nowiki>Discussion topics at '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :''' | ||
| + | * 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 | ||
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| − | + | Webinars and Meetups: | |
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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) | ||
| + | ** 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) | ||
| − | + | * Webinars at RStudio: https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars) | |
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| − | Webinars at RStudio: https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars) | ||
Revision as of 10:04, 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 :
- 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 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)
- Webinars at RStudio: https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)
