wiki - User contributions [en]

UseR!

2021-10-27T12:19:02Z

Dmitry.gorodnichy:

[[Data Science Communities of Practice]] - UseR!

====== 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?
** 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
**Using R with GC data infustructure (gcdocs, AWS, etc)

* 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)
** 12 Nov - 19 Nov 2021: Text Analysis with R follow-up / Converting codes to Shiny App
** 8 Oct 2021: Text Analysis with R. Part 1: identifying near-duplicate documents
** 1 Oct 2021: Shiny App to summarize very large, high-dimensional tables (code & app provided)
** 30 Jul - 17 Sep 2021: Geo/Spatial coding and visualization with R. (code provided)
** 16 Jul 2021: Dual Coding - Python and R unite ! (code provided)
** 9 Jul 2021: Exploring ggplots (recording, code provided)
** 2 Jul 2021: Parsing GC Tables (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, codes provided)

* Webinars at RStudio - https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)
** The new insights from these webinars and other R-related blogs and events are discussed at R4GC community meetups

Data Science Communities of Practice

2021-10-14T16:00:52Z

Dmitry.gorodnichy:

There are several communities of practice from across the GC that you can join to help find people working on problems similar to you. We invite you to explore these communities. If you know of a community not listed here, please add it!

== Open communities (requires account) ==
* [https://gcconnex.gc.ca/groups/profile/62219803 Data Science]
* [[gccollab:groups/profile/18923/enopen-sciencefrscience-ouverte|Open Science]]
* [[gccollab:groups/profile/3787646/enmachine-learning-and-data-science-seminarsfrsu00e9minaires-de-machine-learning-et-de-science-des-donnu00e9es|Machine Learning and Data Science Seminars]]
* [[gccollab:groups/profile/2194960/enartificial-intelligence-and-data-science-groupfr|Artificial Intelligence and Data Science Group]]
* [[gccollab:groups/profile/3911257/endiscover-datafr|Discover Data]]
* [[gccollab:groups/profile/8818/endata-visualizationfr|Data Visualization]]
* [[gccollab:groups/profile/4427318/enenterprise-data-community-of-practicefrcommunautu00e9-de-pratique-sur-les-donnu00e9es-integru00e9es|Enterprise Data Community of Practice]]
* [[gccollab:groups/profile/3567531/enartificial-intelligence-policy-community-of-practicefrcommunautu00e9-de-pratique-sur-les-politiques-en-matiu00e8re-du2019intelligence-artificielle-cppia|Artificial Intelligence Policy]]
* [[gccollab:groups/profile/449284/enartificial-intelligence-practitioners-and-users-networkfr|Artificial Intelligence Practitioners and Users Network]]
*[[gccollab:groups/about/7391537|R4GC (Use R!) Community]] (gccollab)
**[[gccollab:groups/about/7855030|'Lunch and Learn' Data Science with R: Friday Meet-ups]] (gccollab subgroup)
**[https://gccode.ssc-spc.gc.ca/r4gc r4gc] (gccode)
**[https://github.com/open-canada/UseR Open Canada UseR] (github)
**[[UseR!|Data Science with R (gcwiki)]]

== GC internal communities ==
* [https://gcconnex.gc.ca/groups/profile/62219803 Artificial Intelligence and Data Science]
* [https://gcconnex.gc.ca/groups/profile/24825105 Data Analytics Coalition]
* [https://gcconnex.gc.ca/groups/profile/27840826 Machine Learning and Artificial Intelligence for Science]
Some departments also have their own communities:
* [https://gcconnex.gc.ca/groups/profile/49790612 Data Science @ TBS]
* [https://gcconnex.gc.ca/groups/profile/53210189 VAC Data Science CoP]
* [https://gcconnex.gc.ca/groups/profile/56632124 StatCan Data Science CoP Hub]
* [https://gcconnex.gc.ca/groups/profile/43530826 CRA-CBSA Data Analytics]
* [[gccollab:groups/profile/778815/eneccc-network-of-experts-and-researchers-in-data-science-nerdsfrlabo-de-donnu00e9es|ECCC Network of Experts and Researchers in Data Science]] (N.E.R.D.S)
[[Category:Data Science]]

UseR!

2021-08-28T00:14:05Z

Dmitry.gorodnichy:

[[Data Science Communities of Practice]] - UseR!

====== 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:
** 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

* 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 !
** 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)

UseR!

2021-08-27T16:54:40Z

Dmitry.gorodnichy:

[[Data Science Communities of Practice]] - UseR!

This page provides table of contents for discussions and Tutorials organized by '''the''' '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''

Discussions:

* 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

Webinars and Tutorials:

* [[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!
** 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)

UseR!

2021-08-27T15:08:17Z

Dmitry.gorodnichy:

[[Data Science Communities of Practice]] - UseR!

This page provides table of contents for discussions and Tutorials organized by '''the''' '''[[gccollab:groups/about/7391537|Use R! gccollab group]] :'''

Discussions:

* 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

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)
** 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)

UseR!

2021-08-27T15:04:41Z

Dmitry.gorodnichy: added topics

[[Data Science Communities of Practice]] - UseR!

This page provides summaries of discussions and tutorials organized by '''Use R!''' Community of Practice

<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

Webinars and Meetups:

* [[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)

UseR!

2021-08-13T16:52:09Z

Dmitry.gorodnichy:

[[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
* [[gccollab:discussion/view/7404883/enwhy-r-r-or-python-no-r-and-pythonfr|R with Python]]
* [[gccollab:discussion/view/7789646/enexcel-rfr|From Excel to 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
* [[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
* [[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

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 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 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)

UseR!

2021-08-06T17:44:13Z

Dmitry.gorodnichy:

[[Data Science Communities of Practice]] - UseR!

''This page provides summaries of discussions and tutorials organized by '''User R!''' GC Community of Practice''

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

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)

See also webinars at RStudio: https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars)

UseR!

2021-08-06T17:39:02Z

Dmitry.gorodnichy:

[[Data Science Communities of Practice]] - UseR!

''This page provides summaries of discussions and tutorials organized by '''User R!''' GC Community of Practice''

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

UseR!

2021-08-06T17:31:31Z

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

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

Data Science Communities of Practice

2021-08-06T15:49:23Z

Dmitry.gorodnichy: Added link to Data Science with R

There are several communities of practice from across the GC that you can join to help find people working on problems similar to you. We invite you to explore these communities. If you know of a community not listed here, please add it!

== Open communities (requires account) ==
* [https://gcconnex.gc.ca/groups/profile/62219803 Data Science]
* [[gccollab:groups/profile/18923/enopen-sciencefrscience-ouverte|Open Science]]
* [[gccollab:groups/profile/3787646/enmachine-learning-and-data-science-seminarsfrsu00e9minaires-de-machine-learning-et-de-science-des-donnu00e9es|Machine Learning and Data Science Seminars]]
* [[gccollab:groups/profile/2194960/enartificial-intelligence-and-data-science-groupfr|Artificial Intelligence and Data Science Group]]
* [[gccollab:groups/profile/3911257/endiscover-datafr|Discover Data]]
* [[gccollab:groups/profile/8818/endata-visualizationfr|Data Visualization]]
* [[gccollab:groups/profile/4427318/enenterprise-data-community-of-practicefrcommunautu00e9-de-pratique-sur-les-donnu00e9es-integru00e9es|Enterprise Data Community of Practice]]
* [[gccollab:groups/profile/3567531/enartificial-intelligence-policy-community-of-practicefrcommunautu00e9-de-pratique-sur-les-politiques-en-matiu00e8re-du2019intelligence-artificielle-cppia|Artificial Intelligence Policy]]
* [[gccollab:groups/profile/449284/enartificial-intelligence-practitioners-and-users-networkfr|Artificial Intelligence Practitioners and Users Network]]
*[[gccollab:groups/about/7391537|Use R!]] (gccollab)
**[https://gccode.ssc-spc.gc.ca/r4gc r4gc] (gccode)
** [https://github.com/open-canada/UseR Open Canada UseR] (github)
**[[gccollab:groups/about/7855030|'Lunch and Learn' Data Science with R: Friday Meet-ups]] (gccollab)
** [[UseR!|Data Science with R (gcwiki)]]

== GC internal communities ==
* [https://gcconnex.gc.ca/groups/profile/62219803 Artificial Intelligence and Data Science]
* [https://gcconnex.gc.ca/groups/profile/24825105 Data Analytics Coalition]
* [https://gcconnex.gc.ca/groups/profile/27840826 Machine Learning and Artificial Intelligence for Science]
Some departments also have their own communities:
* [https://gcconnex.gc.ca/groups/profile/49790612 Data Science @ TBS]
* [https://gcconnex.gc.ca/groups/profile/53210189 VAC Data Science CoP]
* [https://gcconnex.gc.ca/groups/profile/56632124 StatCan Data Science CoP Hub]
* [https://gcconnex.gc.ca/groups/profile/43530826 CRA-CBSA Data Analytics]
* [[gccollab:groups/profile/778815/eneccc-network-of-experts-and-researchers-in-data-science-nerdsfrlabo-de-donnu00e9es|ECCC Network of Experts and Researchers in Data Science]] (N.E.R.D.S)
[[Category:Data Science]]

Data Science Communities of Practice

2021-08-06T14:14:11Z

Dmitry.gorodnichy: Added links to R groups

There are several communities of practice from across the GC that you can join to help find people working on problems similar to you. We invite you to explore these communities. If you know of a community not listed here, please add it!

== Open communities (requires account) ==
* [https://gcconnex.gc.ca/groups/profile/62219803 Data Science]
* [[gccollab:groups/profile/18923/enopen-sciencefrscience-ouverte|Open Science]]
* [[gccollab:groups/profile/3787646/enmachine-learning-and-data-science-seminarsfrsu00e9minaires-de-machine-learning-et-de-science-des-donnu00e9es|Machine Learning and Data Science Seminars]]
* [[gccollab:groups/profile/2194960/enartificial-intelligence-and-data-science-groupfr|Artificial Intelligence and Data Science Group]]
* [[gccollab:groups/profile/3911257/endiscover-datafr|Discover Data]]
* [[gccollab:groups/profile/8818/endata-visualizationfr|Data Visualization]]
* [[gccollab:groups/profile/4427318/enenterprise-data-community-of-practicefrcommunautu00e9-de-pratique-sur-les-donnu00e9es-integru00e9es|Enterprise Data Community of Practice]]
* [[gccollab:groups/profile/3567531/enartificial-intelligence-policy-community-of-practicefrcommunautu00e9-de-pratique-sur-les-politiques-en-matiu00e8re-du2019intelligence-artificielle-cppia|Artificial Intelligence Policy]]
* [[gccollab:groups/profile/449284/enartificial-intelligence-practitioners-and-users-networkfr|Artificial Intelligence Practitioners and Users Network]]
* [https://gccode.ssc-spc.gc.ca/r4gc r4gc] (gccode)
** [[gccollab:groups/about/7391537|Use R!]] (gccollab)
*** [[gccollab:groups/about/7855030|'Lunch and Learn' Data Science with R: Friday Meet-ups]] (gccollab)
** [https://github.com/open-canada/UseR Open Canada UseR] (github)

== GC internal communities ==
* [https://gcconnex.gc.ca/groups/profile/62219803 Artificial Intelligence and Data Science]
* [https://gcconnex.gc.ca/groups/profile/24825105 Data Analytics Coalition]
* [https://gcconnex.gc.ca/groups/profile/27840826 Machine Learning and Artificial Intelligence for Science]
Some departments also have their own communities:
* [https://gcconnex.gc.ca/groups/profile/49790612 Data Science @ TBS]
* [https://gcconnex.gc.ca/groups/profile/53210189 VAC Data Science CoP]
* [https://gcconnex.gc.ca/groups/profile/56632124 StatCan Data Science CoP Hub]
* [https://gcconnex.gc.ca/groups/profile/43530826 CRA-CBSA Data Analytics]
* [[gccollab:groups/profile/778815/eneccc-network-of-experts-and-researchers-in-data-science-nerdsfrlabo-de-donnu00e9es|ECCC Network of Experts and Researchers in Data Science]] (N.E.R.D.S)
[[Category:Data Science]]