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November 19: Data Exploration of Pixar Films: Which One is the Best?

RSVP BELOW!

Note the 7 PM start time.

For November, Eric is bringing us a light hearted talk about Pixar films.

Thank you to NYU 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. 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, I will go over a data R package I’ve created called {pixarfilms}. I will share some of my insights in answering some basic and not-so-basic questions I’ve 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.

About Eric:Eric Leung is a data scientist working in marketing measurement in the media and entertainment space. He enjoys learning by teaching, and likes contributing to open-source projects on GitHub and creating great documentation. Eric has worked across a number of disciplines, including computational biology and voter history data, along with enjoying making use of a number of tools such as R, Python, and SQL. In his free time, you can find him playing the board game Go, editing Wikipedia, and figure skating.

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.

Remember, register below!

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