Name: [ONLINE] #tidytuesday Work Group
Start: 2021-03-10T19:00:00-05:00
End: 2021-03-10T21:00:00-05:00

Join fellow R-Ladies in exploring a #tidytuesday data set! For those craving human connection and some practice flexing your data science skills, this is the event for you! We will hold our event via Zoom, where you can meet other R-ladies, improve your R skills, and build your data science portfolio. This event is for people at all levels of R (beginner through advanced).

The dataset we will explore will be posted before we meet.

Agenda:
7:00 - 7:15 pm Meet & Greet
7:15 - 8:30 pm #tidytuesday
8:30 - 9:00 pm Discussion

What is #tidytuesday?
#TidyTuesday is a weekly social data project created by the R4DS online learning community that is focused on using tidyverse packages. A new data set and accompanying article featuring an interesting plot is released on Github every Monday. The goal is to generate a copy of the original plot or create your own original approach!

For more information on #tidytuesday, check out this blog post: https://bit.ly/2HqEsdt

For this week, we will be looking at data related to the Bechdel Test. See https://github.com/rfordatascience/tidytuesday/blob/master/data/2021/2021-03-09/readme.md

Who is this for?
New and experienced R users alike! Let's learn together! All are welcome, including R-Ladies RTP members and R-Ladies from around the world.

What should I bring?
You'll need a computer with videoconferencing capabilities and R. Serve yourself a cozy beverage and a snack to fuel your evening!

Where will it take place?
**Please join us online via Zoom.** A link to join will be provided when you RSVP.

All events are intended for women as leaders, mentors, members, and attendees. We are emphatically queer and trans friendly. Men are welcomed to attend *as guests* and must be accompanied by the R-Lady who invited them. 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 introduce yourself to an organizer.

Stephanie Zimmer

Kateri Salk

Sheila Saia

R-Ladies RTP

R-Ladies

Duke University Libraries

Women in Quantitative Sciences

RStudio

TransLoc

Information Initiative at Duke (iid)

R Consortium

NCSU Statistics GSA

Technology

Open Source

Women in Technology

Statistical Computing

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Women Programmers

Women Science Technology Engineering & Mathematics

Computer Programming

R Project for Statistical Computing

Data Science

Applied Statistics

Women in Computing

[ONLINE] #tidytuesday Work Group

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[ONLINE] #tidytuesday Work Group

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