UseR! - Revision history

Dmitry.gorodnichy at 12:19, 27 October 2021

2021-10-27T12:19:02Z

Dmitry.gorodnichy at 00:14, 28 August 2021

2021-08-28T00:14:05Z

Dmitry.gorodnichy at 16:54, 27 August 2021

2021-08-27T16:54:40Z

Dmitry.gorodnichy at 15:08, 27 August 2021

2021-08-27T15:08:17Z

Dmitry.gorodnichy: added topics

2021-08-27T15:04:41Z

added topics

Dmitry.gorodnichy at 16:52, 13 August 2021

2021-08-13T16:52:09Z

Dmitry.gorodnichy at 17:44, 6 August 2021

2021-08-06T17:44:13Z

Dmitry.gorodnichy at 17:39, 6 August 2021

2021-08-06T17:39:02Z

Dmitry.gorodnichy: Created and added list of discussions and tutorials organized by GC CoP

2021-08-06T17:31:31Z

Created and added list of discussions and tutorials organized by GC CoP

New page

This page provides summaries of discussions and tutorials organized by '''User R!''' CoP

Discussions at '''[[gccollab:groups/about/7391537|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 Web App development, Interactive Data Visualization and Analysis
* '''R Markdown''' for reproducible research and development
* 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

Tutorials and webinars at [[gccollab:groups/about/7855030|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 API for open data portal within R (recording, code)
* Analyzing PSES results using R and Shiny: 21 Apr 2021
* Building R packages: 16 Apr 2021 - 21 Apr 2021 (recording, code)

Tutorials and webinars at RStudio:

* Shiny Apps from Concept to Production

@@ Line 1: / Line 1: @@
 <small>[[Data Science Communities of Practice]] - UseR!</small>
-====== 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.''']] ======
+====== This page provides the list of discussions organized by the GCcollab's  '''[[gccollab:groups/about/7391537|R4GC (Use R!) community]].''' Please consider contributing to those discussions by joining this community and participating in community's weekly [[gccollab:groups/about/7855030|'''"Lunch and Learn Data Science with R" meetups.''']] ======
 * General topics:
 ** Why R?
@@ Line 21: / Line 21: @@
 **''Text Analysis'' in R
 **''Machine Learning and Modeling'' in R
-* 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)
+* R4GC community "Lunch and Learn Data Science with R" weekly meetups : (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)
+** 12 Nov - 19 Nov 2021: Text Analysis with R follow-up  / Converting codes to Shiny App
-** 16 Jul 2021: Dual Coding - Python and R unite !
+** 8 Oct 2021: Text Analysis with R. Part 1: identifying near-duplicate documents
-** 9 Jul 2021: Exploring ggplots (recording, code)
+** 1 Oct 2021: Shiny App to summarize very large, high-dimensional tables (code & app provided)
-** 2 Jul 2021: Parsing GC Tables (code)
+** 30 Jul  - 17 Sep 2021: Geo/Spatial coding and visualization with R. (code provided)
 ** 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
-** 16 Apr-15 May 2021: Building R packages  (recording, code)
+** 16 Apr - 15 May 2021: Building R packages  (recording, codes provided)
 * Webinars at RStudio - https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)

@@ Line 1: / Line 1: @@
-[[Data Science Communities of Practice]] - UseR!
+<small>[[Data Science Communities of Practice]] - UseR!</small>
 * 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/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)]]
 ** 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]]
 ** Open R codes for GC: on GCcode and GitHub
@@ Line 21: / Line 17: @@
 **[[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
+**''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
+**''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)
-** 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)
 ** 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])
 ** 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)

@@ Line 29: / Line 29: @@
 Webinars and Tutorials:
-* [[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)
+* [[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)
 ** 30 Jul 2021: Geospatial data tools in R (code)
 ** 16 Jul 2021: Dual Coding - Python and R unite!
@@ Line 35: / Line 35: @@
 ** 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
+** 21 Apr 2021: Analyzing PSES results using R and Shiny
-** Building R packages: 16 Apr 2021 - 21 Apr 2021 (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)

@@ Line 1: / Line 1: @@
-<small>[[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 table of contents for discussions and Tutorials organized by '''the'''  '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''
-<nowiki>***</nowiki>Discussion topics at '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''
 * General topics:
@@ Line 26: / Line 27: @@
-Webinars and Meetups:
+Webinars and Tutorials:
-* [[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)
+* [[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!
@@ Line 37: / Line 38: @@
 ** 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)
+* Webinars at RStudio - https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)

@@ Line 1: / Line 1: @@
-[[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>
-* Best way to start and keep learning R
+Webinars and Meetups:
-Webinars at [[gccollab:groups/about/7855030|Friday's "Lunch and Learn Data Science with R" meetups]]:
+*  Webinars at RStudio:    https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)

@@ Line 1: / Line 1: @@
 [[Data Science Communities of Practice]] - UseR!
-''This page provides summaries of discussions and tutorials organized by '''User R!''' GC Community of Practice''
+This page provides summaries of discussions and tutorials organized by '''Use R!''' Community of Practice
-Discussions at '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''
+Discussion topics at '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''
 * 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
 * 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
-* '''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
-* 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
 * Machine Learning and Modeling in R
@@ Line 30: / Line 30: @@
 * 9 Jul 2021: Exploring ggplots (recording, 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
 * Building R packages: 16 Apr 2021 - 21 Apr 2021 (recording, code)
-See also webinars at RStudio: https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)

← Older revision		Revision as of 17:39, 6 August 2021
Line 1:		Line 1:
−	This page provides summaries of discussions and tutorials organized by '''User R!''' ~~CoP~~	+	[[Data Science Communities of Practice]] - UseR!
		+
		+	''This page provides summaries of discussions and tutorials organized by '''User R!''' GC Community of Practice''
		+