External registration required at nyhackr.org.

Following up his previous improv data analysis, David Robinson is at it again with a fresh dataset.

Thank you to Microsoft for hosting us.

Everybody attending must RSVP through the registration form at nyhackr.org. There is a charge for in-person and virtual tickets are free.

After the talk we will randomly select two attendees (both in-person and virtual) to receive free tickets to The New York R Conference taking place July 11-14.

About the Talk: The best approach to a technical presentation is careful planning and preparation. But where's the fun in that? In this talk, I'll demonstrate an exploratory data analysis in R on a dataset I've never seen in advance, and which was chosen by a friend for its novelty value. I'll demonstrate the use of tools such as dplyr and ggplot2 for data transformation and visualization, as well as other packages from the tidyverse as they're needed. I'll narrate my thought process to show how a data scientist thinks through a problem, and take suggestions from the audience at key points. This talk is a sequel to my 2019 nyhackr meetup talk.

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 5:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 6:00 PM America/New_York.

Remember, register at nyhackr.org.