August 15, 2020

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How to get RStudio Conference 2020 workshop materials free online

Even if you attended RStudio’s pre-conference two-day schooling very last month, you could only go...

Even if you attended RStudio’s pre-conference two-day schooling very last month, you could only go to just one workshop—and there had been a lot more than half a dozen. Now, even though, several materials like slides and R code are out there totally free on the web. Here’s how to get them.

Most of the code and slides have been posted on GitHub. If you really do not have git model manage set up on your process, you can download a zipped file of any repository. But git and GitHub do make it much easier and a lot more exquisite. Examine out episode 33 of Do Far more with R underneath if you’d like to find out about git and GitHub in RStudio:

Tidy time collection and forecasting in R

Instructor Rob J. Hyndman, professor figures at Monash College, practically wrote the ebook on time collection forecasting in R — not to point out the R forecast package. I was torn concerning attending this just one and the equipment-finding out workshop I ended up having. Fortunately, even even though it is not very as great as currently being in a classroom in individual, the published materials and code are on the web.

The GitHub repository is at https://github.com/rstudio-conf-2020/time-collection-forecasting and his Forecasting Concepts and Follow textbook is totally free on the web at  https://otexts.com/fpp3/.

Present day geospatial data assessment in R

“You will find out to go through, manipulate, and visualize spatial data and you’ll be released to operation that will have you stating, ‘I failed to know you could do that in R!’” touts this workshop’s overview. This is an additional just one I desire I could have attended.

This course showcased the sf, tmap, mapview, raster, and dplyr offers.

Most of the workshop information is not on GitHub immediately, but there is a essential repo at https://github.com/rstudio-conf-2020/geospatial with recommendations on how to download the rest.

Workshop chief Zev Ross said he posted both substantial-res slides for viewing and a PDF model for download.

See information at the base of this page on how to download and put in the workshop R package with exercises and options.

Device finding out in R

There had been two workshops on equipment finding out this calendar year: an introduction to the still-evolving tidymodels equipment finding out package ecosystem and a a lot more highly developed session with Max Kuhn, creator of the properly-acknowledged caret package.

Introduction to equipment finding out with the tidyverse

This workshop has its personal web page exactly where you can download slides, exercises, and options from Alison Hill’s classes: https://conf20-intro-ml.netlify.com/materials/. There is also a GitHub repo.

Utilized equipment finding out in R

Max Kuhn’s session has a web page at https://rstudio-conf-2020.github.io/applied-ml/README.html. Towards the best there are inbound links to see areas one by means of 6 separately. There is also a GitHub repo.

Deep finding out with Keras and TensorFlow in R

Examine out the robust GitHub repo which consists of a amount of R Markdown notebooks with code and explanations as properly as inbound links to slides and data. This was taught by Brad Boehmke, director of data science at 84.51°.

Textual content mining with tidy data concepts

Julia Silge, co-creator of Textual content Mining with R, led this workshop. Her slides are at http://bit.ly/silge-rstudioconf-one (Day one) and bit.ly/silge-rstudioconf-2 (Day two). The GitHub repo at https://github.com/rstudio-conf-2020/textual content-mining includes slides and R Markdown documents with code.

Massive data assessment in R

This workshop, taught by RStudio engineer James Blair, centered on utilizing dplyr with data.desk, databases, and Spark for large-scale data. It also made use of the vroom, dtplyr, and DBI offers.

The GitHub repo at https://github.com/rstudio-conf-2020/massive-data includes an intro, slides, and workbook directory with R Markdown documents. The workshop exercises and code are also out there as on on the web ebook at https://rstudio-conf-2020.github.io/massive-data/introduction-to-vroom.html.

Shiny from begin to complete

If you’ve desired to find out the Shiny R interactive website framework — or if you’ve labored with it but desired to up your video game — Macalester Higher education professor Danny Kaplan’s Shiny workshop GitHub repository capabilities slides and job code. You can also clone the job with a totally free RStudio Cloud account at https://rstudio.cloud/job/865256.

JavaScript for Shiny people

Also Shiny-related, this workshop by Garrick Aden-Buie was built to assistance people customise essential Shiny applications by utilizing JavaScript, HTML, and CSS to make them seem improved and do a lot more. This is an additional workshop I desire I could have attended. I just can’t wait to dig into the code. 

In addition to the workshop GitHub repo, there is a js4shiny.com web page that is definitely value a go to.

R Markdown and interactive dashboards

This two-day workshop by Yihui Xie (creator of several R offers like knitr and DT and the co-creator of Shiny, R Markdown, and leaflet) and RStudio education and learning director Carl Howe was aimed at serving to attendees generate impressive interactive documents and dashboards.

The targets, in accordance to the workshop description, involved the subsequent:

  • The total capabilities of R Markdown
  • How to parameterize and publish stories from R Markdown
  • How to generate interactive dashboards utilizing htmlwidgets and Shiny

The workshop GitHub repo at https://github.com/rstudio-conf-2020/rmarkdown-dashboard includes a materials directory with slides, exercises, cheat sheets, and a lot more.

What they forgot to teach you about R

It sounds like an introductory workshop, but this was really “designed for professional R and RStudio people who want to (re)style their R way of life,” in accordance to the session overview. “You’ll find out holistic workflows that handle the most widespread resources of friction in data assessment. We’ll get the job done on job-oriented workflows, model manage for data science (Git/GitHub), and how to approach for collaboration, communication, and iteration (like R Markdown).” Instructors Kara Woo, Jenny Bryan, and Jim Hester are all properly-acknowledged in the tidyverse planet. 

Discover the GitHub repository at https://github.com/rstudio-conf-2020/what-they-forgot and “the just one legitimate URL that inbound links to everything!” at https://rstd.io/wtf-2020-rsc.

Constructing tidy instruments

Taught by Charlotte Wickham and Hadley Wickham, this workshop was aimed at “those who have embraced the tidyverse and now want to extend it to satisfy their personal requirements,” in accordance to the workshop overview. It discusses API style, purposeful programming instruments, the fundamentals of object style in Amazon S3, and the tidy eval process for non-normal evaluation.

There is a GitHub repo with slides, R Markdown documents, and a lot more.

A realistic introduction to data visualization with ggplot2

This workshop lined “basic concepts behind effective data visualizations” as properly as finding out how to create great graphics with ggplot2. It was taught by Duke College professor Kieran Healy, creator of Knowledge Visualization: A Sensible Introduction. The workshop repo is at https://github.com/rstudio-conf-2020/dataviz.

My organization’s 1st R package

If you’re fascinated in generating offers at your office for “easier data entry, shared features for data transformation and assessment, and a widespread seem and come to feel for reporting,” you may perhaps want to examine out this workshop materials by application engineer Rich Iannone and R developer and Ph.D. pupil Malcolm Barrett.

You can come across the GitHub repo at https://github.com/rstudio-conf-2020/my-org-1st-pkg. 

Workshops for R newcomers

R for Excel Users was, not surprisingly, a workshop aimed at electrical power Excel people who want to begin incorporating R into their workflow.

And Introduction to Knowledge Science in the Tidyverse, taught by Hadley Wickham and Amelia McNamara, was a “two-day, fingers-on workshop built for men and women who are model new to R and RStudio.”