"Using R for Agricultural Data: A Virtual Brown Bag Series" will introduce the basics of data management, cleaning, analysis and visualization in R. Examples and discussion will focus on workflows and data relevant for agricultural research. This workshop will be demonstration only and is intended as an introduction to the usefulness of R as a tool. Episode one highlights machine readable formatting for spreadsheets and an introduction to using the Tidyverse package in R for data formatting. Kay Bjornen - https://info.library.okstate.edu/kay-bjornen Episode two focuses on data manipulation in R and how R can be used to automate subsetting, filtering, and cleaning research data before analysis. Clarke Iakovakis - https://info.library.okstate.edu/clarke-iakovakis Episode three looks at statistical evaluation of data using R packages. Phil Alderman - https://directory.okstate.edu/index.php/module/Default/action/ViewPerson?dirkey=687949&campus=1 Episode four centers around using R to survey data for the "story" and creating visual communications to convey the story. Kay Bjornen - https://info.library.okstate.edu/kay-bjornen