Difference between revisions of "UseR!"
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| − | + | 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) | * 30 Jul 2021: Geospatial data tools in R (code) | ||
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| − | + | See also webinars at RStudio: https://www.rstudio.com/resources/webinars/ (codes at https://github.com/rstudio/webinars) | |
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Revision as of 12:44, 6 August 2021
Data Science Communities of Practice - UseR!
This page provides summaries of discussions and tutorials organized by User R! GC Community of Practice
Discussions 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 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 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)
