New York Open Statistical Programming Meetup
Join our members on Slack and Meetup
August 11: Data exploration of Pixar films: Which one is the best?
This month we have the long awaited Pixar talk from Eric Leung.
Thank you to NYU for hosting us.
Everybody attending must RSVP through the registration form at nyhackr. There is a charge for in-person and virtual tickets are free.
Space is extremely limited and in-person registration closes at 3 PM the day of the talk.
About the Talk: Pixar makes beloved films, like Toy Story, Cars, and Inside Out. But which one is the best? Which franchise is the best? In this light-hearted but informative talk, Eric will go over an R data package he's created called {pixarfilms}. Eric will share some of his insights in answering some basic and not-so-basic questions he's had about Pixar films. For example, how have they done in the box office, and how they rank across critics on the internet and media. This latter ranking is done by consensus, where I'll aggregate rankings across different sources to come up with a data-backed, consensus ranking of Pixar films. The talk will also briefly highlight data challenges in curating the data and also highlight other data that can be found in the R package.
About Eric: Eric is a senior data scientist and "small-batch data architect", where they have spent years measuring marketing effectiveness for iconic media brands including ESPN and ABC. Currently deepening their expertise in statistical programming, Eric is actively applying Bayesian methods and causal inference to both large-scale business problems and artisanal curation projects, such as structuring data for the Brooklyn Botanic Gardens and building a comprehensive Pixar film database. They are an active member in the New York data community and draws on a former work life as a computational biologist to contribute to open-source data and web development communities.
The venue doors open at 6:30 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 7:00 PM America/New_York.
Slack