Name: #tidytuesday Work Group + Farewell to Mine
Start: 2019-04-24T18:00:00-04:00
End: 2019-04-24T20:00:00-04:00
Location: Cocoa Cinnamon

Join fellow R-Ladies in exploring a #tidytuesday data set! Work individually or with the group and end the evening by sharing your work.

We will explore the comic book characters #tidytuesday data set: https://bit.ly/2UcQ9f8. You can read more about the data and the fivethirtyeight.com article it's presented in here: https://bit.ly/2jMRt2S.

We will also be celebrating all the hard work Mine has done to start and build R-Ladies RTP! Please join us in wishing her best of luck as she starts her new position in Edinburgh, Scotland.

Agenda:
6:00 - 6:15 pm Meet & Greet
6:15 - 7:30 pm #tidytuesday
7:30 - 8:00 pm Discussion + Celebration

This is a great opportunity to meet other R-ladies, improve your R skills, and build up your GitHub/Twitter/data science portfolio!

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

Who is this for?
New and experienced R users alike! Let's learn together!

What should I bring?
Please bring your own laptop (fully-charged!) and all learning materials you want to use. If you have time, please look at the data set beforehand and think about some questions you'd like to answer with it.

Where will it take place?
Cocoa Cinnamon Lakewood

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.

Rolliene Mallari

Sheila Saia

Ezinne Nwankwo

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

#tidytuesday Work Group + Farewell to Mine

Cocoa Cinnamon

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#tidytuesday Work Group + Farewell to Mine

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