Data Wrangling in R

This is a multi-part workshop that will cover R code and techniques for data wrangling (i.e. data cleaning, reshaping, and manipulating) using transparent and reproducible methods. We will use the tidyverse packages to make data tidy and to make R code more readable and intuitive. Topics covered will include: adding/removing columns, filtering, removing NAs, cleaning up messy data, collapsing categorical data, working with strings and factors, reshaping data from wide to long format, joining data, and more. There will be some time to practice skills during the workshop. Introduction to R and RStudio is a prerequisite for this class Pre-workshop homework will be assigned to be sure everyone has the appropriate basic R skills. Follow the instructions on http://bit.ly/berd_tidyverse_homework Part 1b https://echo360.org/media/c1abdba0-379d-4fd3-b1c2-49cb618b853a/public Part 2 https://echo360.org/media/fee54f23-bbe6-4742-8226-87a9deec57d8/public

Intermediate

Free