from-github.md

• Reproducible Reporting – RStudio
• Interactive Reporting – RStudio
• Managing package dependencies in R with packrat – RStudio
• Data wrangling with R and RStudio – RStudio
• Collaboration and time travel: version control with git, github and RStudio – RStudio
• Dynamic Dashboards with Shiny – RStudio
• How to start with Shiny – Part 1 – RStudio
• How to start with Shiny – Part 2 – RStudio
• How to start with Shiny – Part 3 – RStudio
• Getting started with R Markdown – RStudio
• RStudio Essentials Webinar Series – Managing Change Part 1 – RStudio
• Interactive Graphics with Shiny – RStudio
• Team Productivity – RStudio
• Importing Data into R – RStudio
• Profiling and performance – RStudio
• RcppParallel: A Toolkit for Portable, High-Performance Algorithms – RStudio
• covr: Bringing test coverage to R – RStudio
• Shiny Gadgets: Interactive Tools – RStudio
• Extending Spark using sparklyr and R – RStudio
• Introduction to Shiny – RStudio
• Introducing Drivers – RStudio
• Tidy Eval – RStudio

from-rstudio-website-rstudio-webinars.md

• Programming Part 1 (Writing code in RStudio)
• Programming Part 2 (Debugging code in RStudio)
• Programming Part 3 (Package writing in RStudio)
• Managing Change Part 1 (Projects in RStudio)
• Managing Change Part 2 (Github and RStudio)
• Managing Change Part 3 (Package version with Packrat)
• Team Productivity
• Administering RStudio Server Pro
• Importing Data into R
• Profvis: Profiling tools for faster R code
• RcppParallel: A Toolkit for Portable, High-Performance Algorithms
• covR: Bringing test coverage to R
• Extracting data from the web – Part 1
• Extracting data from the web – Part 2
• RStudio Connect Internals – The Basics
• Administration of RStudio Connect in Production
• The Tidyverse and RStudio Connect
• How to start with Shiny – Part 1
• How to start with Shiny – Part 2
• How to start with Shiny – Part 3
• Dynamic Dashboards with Shiny
• Shinyapps.io Overview & Tour
• Interactive Graphics with Shiny
• Understanding Shiny Modules
• Administering Shiny Server Pro
• Shiny Gadgets: Interactive Tools
• Introducing bookmarkable state for shiny
• Making websites with R Markdown
• What’s new with readxl?
• Introducing Notebooks with R Markdown
• Understanding Add-ins
• Get your data into R
• Data Wrangling with R and RStudio
• The Grammar and Graphics of Data Science
• Reproducible reporting
• Interactive reporting
• Getting Started with R Markdown
• The Ecosystem of R Markdown
• Working with Big Data in R
• Introducing flexdashboards
• Introducing bookdown
• Sparklyr: Using Spark with R Markdown
• Introducing an R interface for Apache Spark by Edgar Ruiz
• Thinking inside the box: you can do that inside a data frame?!
• Creating and Preprocessing a Design Matrix with Recipes
• Creating JavaScript data visualizations
• Managing package dependencies in R with packrat
• Pipelines for data analysis in R
• Understanding Spark and sparklyr deployment modes by Edgar Ruiz
• Advanced features of sparklyr by Javier Luraschi
• Extending Spark using sparklyr and R by Javier Luraschi
• Introducing an R interface for Apache Spark by Edgar Ruiz

from-wayback.txt

https://www.rstudio.com/resources/webinars/administering-rstudio-server-pro/
https://www.rstudio.com/resources/webinars/administering-shiny-server-pro/
https://www.rstudio.com/resources/webinars/administration-of-rstudio-connect-in-production/
https://www.rstudio.com/resources/webinars/collaboration-and-time-travel-version-control-with-git-github-and-rstudio/
https://www.rstudio.com/resources/webinars/covr-bringing-test-coverage-to-r/
https://www.rstudio.com/resources/webinars/creating-and-preprocessing-a-design-matrix-with-recipes/
https://www.rstudio.com/resources/webinars/creating-javascript-data-visualizations-in-r/
https://www.rstudio.com/resources/webinars/data-wrangling-with-r-and-rstudio/
https://www.rstudio.com/resources/webinars/dynamic-dashboards-with-shiny/
https://www.rstudio.com/resources/webinars/extracting-data-from-the-web-part-1/
https://www.rstudio.com/resources/webinars/extracting-data-from-the-web-part-2/
https://www.rstudio.com/resources/webinars/getting-started-with-r-markdown/
https://www.rstudio.com/resources/webinars/getting-your-data-into-r/
https://www.rstudio.com/resources/webinars/how-to-start-with-shiny-part-1/
https://www.rstudio.com/resources/webinars/how-to-start-with-shiny-part-2/
https://www.rstudio.com/resources/webinars/how-to-start-with-shiny-part-3/
https://www.rstudio.com/resources/webinars/importing-data-into-r/
https://www.rstudio.com/resources/webinars/interactive-graphics-with-shiny/
https://www.rstudio.com/resources/webinars/interactive-reporting/
https://www.rstudio.com/resources/webinars/introducing-blogdown/
https://www.rstudio.com/resources/webinars/introducing-bookdown/
https://www.rstudio.com/resources/webinars/introducing-bookmarkable-state-for-shiny/
https://www.rstudio.com/resources/webinars/introducing-flexdashboards/
https://www.rstudio.com/resources/webinars/introducing-notebooks-with-r-markdown/
https://www.rstudio.com/resources/webinars/managing-package-dependencies-in-r-with-packrat/
https://www.rstudio.com/resources/webinars/pipelines-for-data-analysis-in-r/
https://www.rstudio.com/resources/webinars/profvis-profiling-tools-for-faster-r-code/
https://www.rstudio.com/resources/webinars/rcppparallel-a-toolkit-for-portable-high-performance-algorithms/
https://www.rstudio.com/resources/webinars/reproducible-reporting/
https://www.rstudio.com/resources/webinars/rstudio-connect-internals-the-basics/
https://www.rstudio.com/resources/webinars/rstudio-essentials-webinar-series-managing-change-part-1/
https://www.rstudio.com/resources/webinars/rstudio-essentials-webinar-series-managing-part-2/
https://www.rstudio.com/resources/webinars/rstudio-essentials-webinar-series-managing-part-3/
https://www.rstudio.com/resources/webinars/rstudio-essentials-webinar-series-part-1/
https://www.rstudio.com/resources/webinars/rstudio-essentials-webinar-series-programming-part-2/
https://www.rstudio.com/resources/webinars/rstudio-essentials-webinar-series-programming-part-3/
https://www.rstudio.com/resources/webinars/shiny-developer-conference/
https://www.rstudio.com/resources/webinars/shiny-gadgets-interactive-tools/
https://www.rstudio.com/resources/webinars/shinyappsio-overview-and-tour/
https://www.rstudio.com/resources/webinars/shinyappsio-overview-and-tour/feed/
https://www.rstudio.com/resources/webinars/team-productivity/
https://www.rstudio.com/resources/webinars/the-ecosystem-of-r-markdown/
https://www.rstudio.com/resources/webinars/the-grammar-and-graphics-of-data-science/
https://www.rstudio.com/resources/webinars/the-tidyverse-and-rstudio-connect/
https://www.rstudio.com/resources/webinars/tidyverse-visualization-and-manipulation-basics/
https://www.rstudio.com/resources/webinars/understanding-add-ins/
https://www.rstudio.com/resources/webinars/understanding-shiny-modules/
https://www.rstudio.com/resources/webinars/using-spark-with-shiny-and-r-markdown/
https://www.rstudio.com/resources/webinars/webinar-feedback-experience-survey/
https://www.rstudio.com/resources/webinars/whats-new-in-dplyr-0-7-0/
https://www.rstudio.com/resources/webinars/whats-new-with-readxl/
https://www.rstudio.com/resources/webinars/working-with-big-data-in-r/

z-scrape-gh.R

library(git2r)
library(stringi)
library(httr)
library(rvest)
library(tidyverse)

GGET <- purrr::safely(httr::GET)

git2r::clone("git://github.com/rstudio/webinars.git", "/tmp/webinars") # takes a while

list.files("/tmp/webinars/", pattern="^[[:digit:]]") %>%
  stri_replace_first_regex("^[[:digit:]]+-", "") %>% 
  sprintf("https://www.rstudio.com/resources/webinars/%s", .) %>% 
  map(GGET) -> res
  
discard(res, ~is.null(.x$result)) %>% 
  discard(~status_code(.x$result) != 200) %>% 
  map_df(~{
    data_frame(
      src = content(.x$result, as="text"),
      doc = content(.x$result, as="parsed"),
      title = html_node(doc, "title") %>% html_text(),
      url = .x$result$url,
      md = sprintf("- [%s](%s)", title, url)
    )
  })

unlink("/tmp/webinars", recursive = TRUE)