When:
Tuesday, May 7, 2024
12:00 PM - 1:00 PM CT
Where: Online
Contact:
Leticia Vega
Group: Northwestern IT Research Computing and Data Services
Category: Training
Expand your R skills beyond the basics at these one-hour remote lessons. You do not need to attend each session to participate - each week is a new lesson.
Each one-hour session meets via Zoom on Tuesdays at noon CDT.
Connecting and interacting with databases in R
In this workshop, we will go over how to connect to databases and make queries using packages in R.
Prerequisites: Participants should be familiar with R at an introductory level.
When:
Tuesday, May 14, 2024
12:00 PM - 1:00 PM CT
Where: Online
Contact:
Leticia Vega
Group: Northwestern IT Research Computing and Data Services
Category: Training
Expand your R skills beyond the basics at these one-hour remote lessons. You do not need to attend each session to participate - each week is a new lesson.
Each one-hour session meets via Zoom on Tuesdays at noon CDT.
Scraping with Rvest (and SelectorGadget)
Rvest is a user-friendly package for web scraping. In combination with SelectorGadget (an extension that can be added to your Chrome browser), Rvest becomes a powerful tool for scraping. This workshop introduces users to the Rvest library and the SelectorGadget browser extension. It focuses on how to deploy these tools together to scrape websites.
Prerequisites: Participants should be familiar with R at an introductory level.
When:
Tuesday, May 21, 2024
12:00 PM - 1:00 PM CT
Where: Online
Contact:
Leticia Vega
Group: Northwestern IT Research Computing and Data Services
Category: Training
Expand your R skills beyond the basics at these one-hour remote lessons. You do not need to attend each session to participate - each week is a new lesson.
Each one-hour session meets via Zoom on Tuesdays at noon CDT.
Writing reusable R code
This workshop will cover best practices to make your R code more organized, modular, and easily read. You will learn to write DRY (Don't Repeat Yourself) code by re-using existing code and writing modular functions.
Prerequisites: Participants should be familiar with R at an introductory level.