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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 Web App development, Interactive Data Visualization and Analysis
* [[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 research and development
* '''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
* 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 R (recording, 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
* 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)