Introduction to the Tidyverse, part 1: wrangling data with dplyr

Abstract

Part 1 from a series at the USC Biostatistics Seminar introducing the Tidyverse. This talk introduces dplyr for manipulating data.

Date
Oct 11, 2018 10:00 AM — 12:00 PM
Event
USC Biostatistics Seminar
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Malcolm Barrett
Clinical Research Data Scientist

I am a data scientist, an R developer, and an epidemiologist. My work in public health has spanned on-ground clinical education and research for clinical and cohort studies. Previously, I was an intern at RStudio, and I served two years in AmeriCorps at federally-qualified health centers in Michigan and New York City.
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