Data Wrangling in R
Before analyzing data, we often spend considerable effort wrangling the data into an analyzable form. In this follow-up to our Intro to R workshop, we introduce various data wrangling tasks such as filtering, merging, reshaping, and aggregating data using the dplyr and tidyr packages. We also cover working with dates and character data, and provide suggestions for working efficiently with R and RStudio. No matter your field of study, you’re sure to get something useful out of this workshop!
R is available to everyone, and the only prior knowledge assumed for this workshop is basic experience using R such as how to open an R script, read in and examine data, and submit R code. Please bring a laptop to fully participate.
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