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 11,000 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.

Attending

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.

Jobs

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

Upcoming Meetup

Reproducible Computation at Scale in R with Targets

December 1, 2020 07:00:00 PM

Following up our earlier meetup about drake, we have its creator talking about its successor, targets.

Thank you to EcoHealth Alliance for providing the Zoom link.

This meetup is the kickoff to the second 2020 R week with The R Conference for Government & Public Sector on December 2-4. Much like our recent NYR, this is virtual, so anyone around the world can attend. Visit https://rstats.ai/gov/ to learn more and use code nyhackr for a 20% discount on tickets, including workshops.

About the Talk:
Ambitious workflows in R, such as machine learning analyses, can be difficult to manage. A single round of computation can take several hours to complete, and routine updates to the code and data tend to invalidate hard-earned results. You can enhance the maintainability, hygiene, speed, scale, and reproducibility of such projects with the targets R package. targets resolves the dependency structure of your analysis pipeline, skips tasks that are already up to date, executes the rest with optional distributed computing, and manages data storage for you. It surpasses the permanent limitations of its predecessor, drake, and provides increased efficiency and a smoother user experience. This talk demonstrates how to create and maintain a Bayesian model validation project using targets-powered automation.

About Will:
Will is a statistician and software developer. He likes to solve scientific problems and engage with data analysis technologies.

The talk will begin at 7 PM EST and we will start admitting people to the event shortly before. Since this is completely remote there will be no pizza but everyone is encouraged to have pizza individually.

Website

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 donโ€™t break the site.