event

Q&A with Authors of "Build a Career in Data Science"

Authors of “Build a Career in Data Science” Emily Robinson and Jacqueline Nolis will read selections from their book and discuss why they were meaningful and what thinking went into making it. In this session you’ll learn about some of the higher-level thinking that went into designing a book to help people excel in their data science careers, as well as hear stories from Emily and Jacqueline’s pasts that ended up shaping the narrative.

Leading R Trainings & Prototyping with flexdashboards

Our very own R-Ladies NYC board members Erin Grand and Kaelen Medeiros will give two short talks this month on leading R trainings for coworkers and flexdashboard! This event will be hosted over Zoom, and the link will be available on this Meetup page and sent to all attendees at noon on the day of the event. Agenda: 7-7:05 pm: R-Ladies NYC Announcements 7:05-7:30: “Leading R Trainings for Coworkers” by Erin Grand

Mappy Hour with R-Ladies: Spatial Data Analysis in R

Our very own Ayanthi Gunawardana and R-Ladies Chicago board member Angela Li join us this month to talk spatial statistics in R! This event will be hosted over Zoom, and a link will be sent to all attendees at noon on the day of the event. Agenda: 7-7:05 pm: R-Ladies NYC Announcements 7:05-7:30: “Uncharted Territory: An Introduction to Making Clear and Accurate Maps” by Ayanthi Gunawardana 7:30-7:55: “How to Be a Resilient Geospatial R useR: First Steps, Learning More, and the Spatial R-Ladies Community” by Angela Li

All About Blogs

We’re so excited to have Angeline, Anisha, Emily, and Sharla talk about their experience with sharing their work through blog posts and twitter! Please email us at nyc@rladies.org with your question(s) for our amazing panelists to address, or submit them below in the comments. This event will be hosted over Zoom. A link will be sent to all attendees at noon on the day of the event. Panelist Bios Emily Robinson Emily Robinson is a senior data scientist at Warby Parker, where she works on a centralized team tackling some of the company’s biggest projects.

timetrackR and gtsummary

Our speakers for the night will be Jessica Lavery and Margie Hannum from Memorial Sloan Kettering Cancer Center. Jessica will be talking about the timetrackR app. Margie will be discussing the gtsummary package. Agenda: 6:30-6:55 pm Introductions and Social Time 6:55-7 pm R-Ladies New York Announcements 7-7:10 Sponsor Message from IBM Developer New York 7:10-7:40 It’s Time to Shine with timetrackR App, Jessica Lavery 7:40-8:10 Creating publication-ready and reproducible analytical tables with gtsummary, Margie Hannum

R-Ladies Code-llaboration Hangout

We’ll kick off the year with a hands-on working session where we’ll work together on our own projects or tutorials. Come in curious about a subject or looking to make progress on a project you’re working on! We’ll divide ourselves into groups who’ll be working on similar topics, and we’ll have prompts and tutorials at hand for those who don’t have a particular project in mind. We believe that by collaborating with other R-Ladies who share your curiosity you’ll get much further than you would at home with google, and that even if you don’t have a set goal you’ll learn through sharing and receiving tips and tricks.

End-of-Year Celebration with Jenny Bryan

To close out 2019, we are thrilled to welcome Jenny Bryan for our R-Ladies New York end-of-year celebration and social! In the potluck tradition of year-end socials past, you are welcome to bring a dessert. Thank you to WarnerMedia for hosting us. Agenda: 6:30-6:55 pm Introductions and socializing 6:55-7 R-Ladies New York Announcements 7-7:10 Welcome from WarnerMedia 7:10-7:45 Jenny Bryan on debugging and troubleshooting 7:45-8:30 Socializing and networking Jenny Bryan is a Software Engineer and Data Scientist at RStudio and an Adjunct Professor of Statistics at the University of British Columbia with a Ph.

R in healthcare - Ensuring data quality and conducting survival analyses

Book Club Meeting

Using R to Make Psychological Scales and Data Dictionaries