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The Tidyverse suite of integrated packages are designed to work together to make common data science operations more user-friendly.

By the end of this session, participants will be able to use key functions to help wrangle data from untidy data frames to tidy data frames with packages tidyr, dplyr, janitor and skimr.

All events are intended for women as leaders, mentors, members, and attendees. We are emphatically queer and trans friendly. Men are welcome to attend as guests and must be accompanied by the R-Lady who invited them (i.e., attend through the "guest" function on their host's RSVP, not as a separate RSVP). This group was created so those who identify as women have a comfortable place to learn. If you would like to attend and feel excluded, please contact the event organizer.

Agenda (Times in ET):
• 1:00pm - 1:10pm - Introductions
• 1:10pm - 1:50pm - Hands-on Workshop
• 1:50pm - 2:00pm - Wrap up

Who is this for?
This meetup is for beginners who have no experience programming in R (or another coding language). We will use live coding demonstrations and participants will actively engage with the instructor throughout the workshop.

We will be meeting in person.

🤝🏼We'd like to thank the North Carolina State University Main Library for the event space and for helping to make our event a success.

Please contact Sheila at sheila@rladies.org at least 48 hours (or earlier) before the event if you have any questions.

What should I bring?
Please bring a laptop with R and RStudio downloaded prior to the event.

Data Analytics
Programming in R
Open Source
R-Ladies
Women in Technology

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