Speaker: David Robinson
Slides: Not available
Video link: Video
MeetUp link: MeetUp

We are very excited to both be virtual and IN-PERSON. Since this is our first time doing this hybrid model please bear with us as we work out the kinks. Notice the external registration and health check.

Everybody attending should RSVP through the registration form below here at nyhackr.org. Virtual attendees are free while there is a small charge for in-person to cover the pizza.

If you are attending the event in-person, please read the following:

Please fill out prior to event: Must use the HealthCheck portal to show proof of vaccination or a negative COVID-19 test within 7 days prior to the event.
Must show photo ID at check-in.
Enter through the Microsoft-branded Welcome Center (8th Avenue between 41st and 42nd Street).
Masks are encouraged.

If attending virtually:

You will receive the viewing link in your confirmation email.
You can ask questions using the livestream chat or the #monthly-meetup-chat channel in the nyhackr Slack.

During the meetup we will give away a free ticket or two (either virtual or in-person) at random to the eighth annual New York R Conference taking place June 8-10. Attendees can get 30% off tickets using code nyhackr30.

About the Talk:
The best approach to building an interactive data application is careful planning and preparation. But where's the fun in that?

In this talk, I'll demonstrate how to use the R package Shiny to build an exploratory data visualization in an hour, using a dataset I haven't seen in advance and that was chosen by a friend for its novelty value. I'll demonstrate the basics of Shiny along with a general formula for thinking through interactive applications, and likely demonstrate some more advanced tricks in the framework. I'll narrate my thought process to show how a data scientist thinks about an exploratory interface, and take suggestions from the audience at key points.

About David:
David Robinson is Director of Data Science at Heap Analytics, where he's helping to build the next generation of product analytics technology. He's the co-author with Julia Silge of the tidytext package and the O’Reilly book Text Mining with R. He also created the broom, fuzzyjoin, and widyr packages, and authored the e-book Introduction to Empirical Bayes. David is passionate about R, statistics, education, live-coding, probability, and his two children.

The venue doors open at 5:45 PM America/New_York where we return to enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 6:30 PM America/New_York.

Remember, register at nyhackr.org.

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