Founded by Josh Reich and Drew Conway, the New York Open Statistical Programming Meetup started as the New York R Meetup with a handful of people in an office at Union Square Ventures. Since then it has grown to over 8,000 members and has been hosted at NYU, Columbia, AOL, iHeartRadio, eBay, Work-Bench and other locations.

Our mission is to spread knowledge of statistical programming techniques in open-source languages such as R, Python, Julia and Go, and data science in general. Another important aspect is community building and socializing. The meetups start with pizza, followed by a 45-90 minute talk, ending with a trip to the local bar.


To attend please visit the meetup page.

Presentations and Videos

Whenever possible we make presentations available at the Presentations page.

We now stream and host videos of meetups on Facebook and YouTube and older videos are scattered on a variety of services. They are also listed on the Presentations page.


Job openings and other announcements are on the meetup discussion board.

Upcoming Meetup

Simulating A Universe in Tidyverse: Using R to Generate Statistical Simulations

November 25, 2019 06:30:00 PM

Tidyverse meets simulations during this talk from Sebastian Teran Hidalgo.

Thank you to Rise NY for hosting us.

About the Talk:
This talk will cover different tidyverse packages (dplyr, tidyr, purrr, ggplot2) and how to use them to create and work with statistical simulations. We will look at how to use simulations for statistical insights, power analyses with A/B testing, and to create aRt. The target audience is R users that want to start using simulations in their work or those who have experience with simulations but not with the tidyverse.

About Sebastian:
Sebastian Teran Hidalgo is a data scientist at Vroom, an e-commerce start-up that focuses on selling used cars that are delivered to your door. Previously, Sebastian was doing research on cancer genomics as a postdoc at Yale University. He holds a PhD in Biostatistics from UNC-Chapel Hill.

Pizza ( begins at 6:30, the talk starts at 7, then after we head to the local bar.


The nyhackr website was built as a RMarkdown website and the source code can accessed by the community on GitHub.

How to contribute

If you wish to contribute to the website the process is pretty simple.

  1. Fork and clone the repository (an example can be found here)
  2. Create a new branch for your changes (warning, this step cannot be done in RStudio!)
  3. Make your changes. You can build and view your local version by using rmarkdown::render_site()
  4. When you are done, submit a pull request. Your changes might not appear on the public site right away as we have a development version for making sure changes don’t break the site.