Monthly networking over the lunch time for people involved in Electronic Design Automation as:

Developers Marketing Sales PR VC Consultants

Bring business cards and be prepared for a self-introduction and share what you are working on.

Speaker: Ted Laderas (http://laderast.github.io/) - Instructor, Medical Informatics and Clinical Epidemiology, OHSU

Abstract: Many graduate students in the basic sciences are afraid of data exploration and cleaning, which can greatly impact their downstream analysis results. By using a synthetic dataset, some simple dplyr commands, and a shiny dashboard, we teach graduate students how to explore their data and how to handle issues that can arise (missing values, differences in units). For this talk, we'll run through a simple EDA example (combining two weight loss datasets) with a general data explorer in shiny that can be easily customized to teach specific EDA concepts.