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.
Doors open after 6 - DO NOT SHOW UP BEFORE 6 - we'll start about 630. Also, DO NOT SHOW UP BEFORE 6. Repeat after me: DO NOT SHOW UP BEFORE 6.
We'll have some snack bars and some soft drinks/fancy water. Adult drinks afterwards.
Enter on the 8th Ave. entrance where there's gates - The gates may be locked, but a security person will let you in. If you have any trouble message me in the meetup app, or on Twitter at @pdxrlang or @sckottie
Hashtag for PDX R meetups: #pdxrlang (https://twitter.com/hashtag/pdxrlang?src=hash) & the Twitter account to follow/tweet at is @pdxrlang (https://twitter.com/pdxrlang) We also use http://pdxdata.slack.com/ for a back-channel during MeetUps and in between. Invite yourself here: http://pdxdata.org/slack/