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Data Preparation in R

Data Preparation in R

Data analysis involves a large amount of preparing, cleaning, and "munging" data to facilitate downstream data analysis. This workshop is designed for those with a basic familiarity with R who want to learn modern tools and techniques for data manipulation. Upon completing this lesson, participants will be able to use the dplyr package in R to effectively manipulate and conditionally compute summary statistics over subsets of a "big" dataset containing many observations. This session will be taught via Zoom: a link to the Zoom session will be sent in the confirmation and reminder emails.

Prerequisites: attendance at Introduction to R or working knowledge of R/RStudio

Date:
Thursday, August 25, 2022
Time:
10:00AM - 12:00PM
Instructor:
David Martin

Registration is required. There are 44 seats available.