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Data Management in R
This seminar introduces R packages and functions that help users import, transform and manage their data in preparation for analysis. The seminar focuses on the “tidy data” philosophy encouraged by the “tidyverse” collection of R packages, but draws on other packages for useful functions as needed. Topics include data import, transforming variables, string functions, missing data, merging datasets, reshaping data, grouped data processing, and looping.
NOTE: All researchers are welcome to attend.