Difference between revisions of "UseR!"
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[[Data Science Communities of Practice]] - UseR! | [[Data Science Communities of Practice]] - UseR! | ||
| − | + | This page provides summaries of discussions and tutorials organized by '''Use R!''' Community of Practice | |
| − | + | Discussion topics at '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :''' | |
* Best way to start and keep learning R | * Best way to start and keep learning R | ||
| − | * R with Python | + | * [[gccollab:discussion/view/7404883/enwhy-r-r-or-python-no-r-and-pythonfr|R with Python]] |
| − | * From Excel to R | + | * [[gccollab:discussion/view/7789646/enexcel-rfr|From Excel to R]] |
| − | * 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 | ||
* RStudio news and tricks | * RStudio news and tricks | ||
| − | * 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]] |
* '''data.table''' for efficient data processing | * '''data.table''' for efficient data processing | ||
| − | * '''ggplot2''' and its extensions for data visualization | + | * [[gccollab:discussion/view/7391596/endata-visualization-with-ggplot2-and-its-extensionsfr|'''ggplot2''' and its extensions for data visualization]] |
| − | * '''Shiny''' for | + | * [[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 reproducible | + | * '''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 | ||
| − | * 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 | ||
| Line 30: | Line 30: | ||
* 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 API for open data portal within | + | * 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 | * Analyzing PSES results using R and Shiny: 21 Apr 2021 | ||
* Building R packages: 16 Apr 2021 - 21 Apr 2021 (recording, code) | * 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 12:52, 13 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 :
- Best way to start and keep learning R
- R with Python
- From Excel to R
- Reading various kinds of data in R
- Open R codes for GC: on GCcode and GitHub
- RStudio news and tricks
- Events and Forums for R users
- data.table for efficient data processing
- 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 at Friday's "Lunch and Learn Data Science with R" meetups:
- 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)
See group 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)
