Introduction to the Tidyverse
Details
Speaker Bio - Melissa Lee (she/her)
Melissa Lee is an Assistant Professor of Teaching in the Department of Statistics at the University of British Columbia. She teaches and develops curriculum for undergraduate statistics and data science courses. Her work focuses on student-centered approaches to teaching, developing and assessing open educational resources, and promoting equity, diversity, and inclusion initiatives.
Workshop details
This workshop will provide a friendly introduction to data manipulation and visualization using the Tidyverse package in R. This workshop is suitable for those who have some experience in R and know how to read in data, but no experience with Tidyverse is required. Participants should install Tidyverse before the workshop: `install.packages("tidyverse")`.
Date and time: April 7, 2022 at 6:00pm
Webinar link: RSVP to view the link (password follows `?pwd=` in the link)
If you have trouble getting into the meeting, please message Jasmine
See you there!
Yuka, Jasmine and Lisa
IMPORTANT**
- Have your computer and a steady internet connection ready
- If this is your first R-Ladies event, please take a moment to review our R-Ladies Global code of conduct: https://github.com/rladies/.github/blob/master/CODE_OF_CONDUCT.md
- Who is allowed to attend the workshop?
Everyone is welcome to join us at our events and to be a part of our mission to empower gender minorities with the skills and knowledge to code in one of the top programming languages in data science, which is R.
To fulfill this mission we do ask participants to respect a focus on the encouragement and support for women and non-binary people during our events.
