Recent & Upcoming Events

See our Meetup Page for the most up-to-date info about our upcoming events!

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Details For our October Meetup, we welcome Liz Hare, who will lead a workshop titled “Writing Meaningful Alt-Texts for Data Visualizations in R.” Liz will introduce “alt-text” and offer guidance on best practices. Alt-text is important to incorporated into your work not only to adhere to accessibility laws but also to ensure your work reaches everyone. During the workshop, Liz will give the audience an opportunity to share their own data visualizations and discuss how they could be improved with alt-text.


Details Fill out this brief form by Thursday, September 1st to submit your application to be a speaker! Lighting talks are five minute talks. You can talk about anything R, Tech, and/or Data Science related. Looking for ideas? How about talking about a cool package you found, how you use R in your company, a favorite learning resource, your journey into Data Science, or a side project you’ve been working on?


Details For our August book club, we’ll be discussing “Queer Data : Using Gender, Sex and Sexuality Data for Action” by Dr. Kevin Guyan. The New York Public Library has copies of this book. This event will be in person at the Great Hill in Central Park. Enter at Central Park West and 106th. Bring a blanket if you have one! We will be sitting on the grass. In case of rain, this event will be held over zoom and the link and password will be shared the morning of the event.


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As New Yorkers do all we can to stay well in the times of coronavirus, all of our routines have changed. For some of us, this may mean more time devoted to strengthening our data skills. If this is you, here is a collection of resources that can get you up and running with learning a new skill in R. These were originally compiled for the R-Ladies NYC Code-llaboration Hangout back in January, and are organized by topic: Tidy Tuesday, Building a Package, Building a Website, Time Series Analysis and Everything Else.


R-Ladies NYC is proud and excited that one of our members, Emily Robinson, is co-authoring a book with a fellow R-lady, Jacqueline Nolis! The book, Build a Career in Data Science, is available for pre-order, which comes with online access to all currently available chapters (1-9) access to the rest of the chapters as they come out. This book is a practical guide to preparing for, finding, and excelling in a data science role.


The R-Ladies NYC call for a hex sticker design produced three creative and unique submissions. We would like to thank Ayanthi Gunawardana, Kat Hoffman, and Ludmila Janda for their involvement with the R-Ladies NYC community and time spent crafting their designs! Below, each of these R-Ladies shares her inspiration behind her design: Ayanthi Gunawardana: My goal was the keep the logo and colors as simple as possible to ensure it could be scaled to any size.


Thank you so much to Anisha BharathSingh, who originally wrote this post for her blog, found here. We are reposting her post with her consent. If you are an R-Lady interested in writing a blog post or cross-posting a blog post on your own blog, please let us know (via email or via DM on twitter @RLadiesNYC)! On Thursday, May 23, I attended my first R-Ladies NYC meetup! R-Ladies NYC is an organization that promotes gender diversity amongst the R community by organizing a series of events (including this meetup) to support women who want to learn R or want to share their experiences as R programmers.



Meet our board members

Dorota Rizik (Organizer)

Dorota (she/her) is a data analyst with a passion for programming, automating repetitive tasks, and workflow efficiency. She has a masters in applied statistics from NYU and currently works at MDRC, a nonprofit policy research organization. She loves fries, dogs, and going to the cinema.

Alejandra Gerosa

Alejandra works in fundraising in social organizations (now at the ACLU, previously at TECHO and Doctors Without Borders). With the goal to become more data-driven in her work, she earned an MBA from Duke University. There, she discovered R and fell in love with all things related to business intelligence and marketing analytics. Since then, she has been learning R and statistics through friends, online classes and the wonderful R-Ladies community. Alejandra is from Argentina, lived in Spain for 5 years, and now lives in Queens.

Ayanthi Gunawardana

Ayanthi Gunawardana (she/her/hers) is a Data Analytics Manager at the Wunderkind. Previously, Ayanthi worked at the NYC Department of Transportation where she analyzed crash and other transportation data to inform street design and transportation policy across all five boroughs. She holds a Bachelor of Arts in Sociology from Emory University and a Master of City and Regional Planning from Rutgers University. Ayanthi enjoys training Brazilian Jiu Jitsu, running, taking all forms of public transportation, and cooking/eating spicy food.

Erin Grand

Erin works as a Data Scientist at Uncommon Schools where she trains coworker in R as well as maintaining two R packages. Prior to Uncommon, she worked as a Data Scientist at Crisis Text Line while and a software programmer at NASA while completing her Data Science Masters at Columbia University. Before data science, Erin researched star formation and taught introductory courses in astronomy and physics at the University of Maryland.

Emily Halford

Emily Halford works at the New York State Psychiatric Institute and currently focuses on evaluations of suicide crisis services and suicide prevention media campaigns, as well as examining the impact of the COVID-19 pandemic on suicidality. She is enthusiastic about all things R, and is keenly interested in applications of data science in mental health. Emily received her MPH in Epidemiology from Columbia University’s Mailman School of Public Health and her BA in Biology and Environmental Studies from Bates College.

Angeline Protacio

Angeline Protacio (she/her) is a Data Scientist at Quartet Health, where she uses healthcare claims and product data to improve access to mental health care, and builds tools to support value based care for mental health providers. She has worked with data in a variety of settings, previously leading mental health data surveillance for the NYC Department of Health and Mental Hygiene, as well as dabbling in freelance data science consulting. She has an MPH in Epidemiology, and is passionate about health equity, social determinants of health, and data for social good. She moved to New York ten years ago from California, and remains perfectly happy with her decision to trade driving cars for riding the subway. When she’s not playing with data for work, she’s still playing with data to help her fantasy baseball team win, while trying to eat everything NYC has to offer.

Kristin Akey

Kristen Akey (she/her) is a Data Analyst at Civitech, where she helps build tools to increase civic participation. She graduated with a master’s degree from Columbia University in Quantitative Methods in the Social Sciences and received her BA from Barnard College in Political Science. She has previously worked on projects related to political redistricting, campaign finance, and NYC buildings. In her free time, she enjoys biking, rollerblading, and playing fetch with her cat, Sybil.

Mei Guan

Mei Guan is a Lead Data Analyst at New Visions for Public Schools where she helps build an academic planning data product used by every district public school in New York City. Previously, Mei has worked as high school science teacher in Brooklyn and as a data analyst at the New York City Department of Education. She holds a B.S. in Biology from Cornell University and a M.S. in Applied Urban Science and Informatics from New York University.

Past board members

Soumya Kalra (Founder) (2016-2019)

Birunda Chelliah (2016-2019)

Rika Gorn (2019-2021)

Gabriela Hempfling (2017-2020)

Emily Robinson (2017-2019)

Elizabeth Sweeney (2019-2020)

Brooke Watson (2016-2020)

Jasmine Williams (2016-2019)

Emily Zabor (2016-2019)

Ludmila Janda (2019-2021)

Kaelen Medeiros (2020-2021)

Anisha BharathSingh (2021)

Emily Dodwell (2019-2022)


To ensure that our Meetups are accessible for all members of our community, we ask you to please review and implement the below presentation recommendations. Let us know if you have any questions.

Please email your slides to by noon the day before your talk, or provide the link where you have them available online. It is fine if they represent a draft at this point, although let us know that – in the event that someone requests the slides ahead of the Meetup for accessibility reasons, we’d like to be able to share them.

Presentation Preparation * Slides created via R Markdown are more accessible (see Accessible R Markdown Documents) for people using screen reading software and therefore preferred over PowerPoint, PDF, and Google Slides. If you must use one of the latter, please take advantage of the accessibility features and accompany all slides with presenter notes and image alt text descriptions (see here).

  • Please add alternative text to your graphics, images, memes, and screenshots, in which you describe a graphic’s essential features in detail. For more information about writing alt text descriptions, see How to Create Alternative Text for Images for Accessibility and SEO and New in knitr: Improved accessibility with image alt text.

  • Use color schemes that are colorblind friendly (see for example the viridis and RColorBrewer packages for palettes, and colorBlindness and colorblindr for simulation of colorblindness in figures to check them).

  • Use a large sans serif font (minimum 22 point) on slides, and resize pictures to ensure they can be seen from smaller screens.

Presentation Tips * As best as possible, please present your talk in a quiet, well-lit environment.

  • Avoid vague wording like “here” or “this” that can’t be interpreted without seeing gestures.

  • If presenting a code demonstration, explicitly share where you are in the script (e.g. line number) when working through it. If you deviate from the prepared materials, please articulate exactly what is being changed in your code so the audience can follow along. Schedule breaks during long workshops/presentations (maybe in the middle)

  • Care needs to be taken with animations and things that flash, which can cause seizures and migraines (see here)

Additional Information If you are interested in learning more about accessibility for technical online presentations, the useR! 2021 blog on “Preparing for an Accessible Online Conference” has advice/considerations.

Credit Liz Hare is a quantitative geneticist focusing on working dog behavior, health, and welfare. As a blind R user, she works to improve the inclusivity of conferences, software, documentation, and training with Forwards and MiR.


Interested in giving a talk for R-Ladies NYC? Please fill out this form with your talk information.

Connect with us on slack! Please fill out this Google form to receive an invitation.


Would you like to support R-Ladies NYC? You can make a tax-free donation to our chapter via Open Collective.