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New York R Conference 2022

New York R Conference 2022

09 - June 10, 2022

Discover the 22 talks of this edition.

Jeroen Janssens - R and Raylib: All Fun and Games‽
Malorie Hughes - The Anatomy of a Plot: From gg to highcharter
Mike Band - The Many Ways to Create a Composite Score in Sports & Beyond
Molly Huie - Data for Everyone: Using Shiny to Make Data Accessible for Non-Technical Colleagues
Jared Lander - Using R for GIS and Mapping
Daniel Chen- Combining Analysis Work w/ Reports & Presentations What I Would Change About My Dissert
Bernardo Lares & Igor Skokan - Min. Human Bias in Marketing Mix Models using Meta Open Source Robyn
Andrew Gelman- When You do Applied Statistics, You're Acting Like a Scientist. Why Does this matter?
Matt Heaphy - Actuarial Experience Studies and Assumption Setting in R
Sarah Catanzaro - Started from the Bottom Now We’re Here: Revisiting the AI Hierarchy of Needs
Tom Bliss - Understanding Player Movement in the National Football League Using Tracking Data
Emil Hvitfeldt - I Did 'Advent of Code' and Here Is What I Learned
Daniel Lee - How to Win a Hackaton
Cat Zhou - Causal not Casual: Building Up Causal Measurement
Asmae Toumi - Using Data and R to Deliver Evidence-Based Care for Substance Use Disorders
Ipek Ensari - Functional Data Methods for Characterizing Health & Disease Patterns via mHealth Tech.
Stacy Lansey - The Perfect Data Science Stakeholder
Hamdan Azhar - An Introduction to Emoji Data Science in R
Wes McKinney & Jon Keane - Apache Arrow in an Interconnected World
Jennifer Hill - Deep Down, Everyone Wants to be Causal
Max Kuhn - Monitor Your Data As Well As Your Model
SDS 589: Narrative A.I. — with Hilary Mason

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New York R Conference 2022