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Advanced Data Manipulation with R

Advanced Data Manipulation with R

Data analysis involves a large amount of janitor work - munging and cleaning data to facilitate downstream data analysis. This workshop is designed for those with a basic familiarity with R who want to learn tools and techniques for advanced data manipulation. It will cover data cleaning and "tidy data," and will introduce participants to R packages that enable data manipulation, analysis, and visualization using split-apply-combine strategies. 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.

Date:
Wednesday, February 15, 2017
Time:
2:00pm - 5:00pm
Location:
Health Sciences Library Carter Classroom
Instructor:
VP Nagraj, SOM Research Computing
Registration has closed.

Pre-Requisites: Basic familiarity with R