Data Carpentry aims to teach researchers basic concepts, skills, and tools for working with data to help improve efficiency. This 2-day workshop is intended for those interested in working with social sciences data in R.

PART 1 — Thursday, March 10:

1. 10:00AM – 11:00AM: Getting started with R — R syntax and the RStudio interface
2. 11:00AM – 12:30PM: Introduction to R — learning about data types, variables, operators, subsets, and missing values
3. 12:30PM – 1:00PM: Break for lunch on your own
4. 1:00PM – 3:00PM: Starting with data — how to import CSV files, data frames, summary dataset information, strings and dates

PART 2 — Friday, March 11:

1. 10:00AM – 11:30AM: dplyr & tidyr — Working with rows and columns, multiple commands, reformatting dataframes
2. 11:30AM – 12:00PM: Break for lunch on your own
3. 12:00PM – 2:00PM: Ggplot — scatterplots, boxplots, barplots, aesthetics of plots, multiple plots

This workshop assumes no prior knowledge of the skills or tools.

Before this session, please complete the lesson setup steps to ensure you have R, RStudio, and the tidyverse package within RStudio installed.

Learn more about Carpentries workshops.

Presented by: Ben Chiewphasa, Ben Tovar, and Jessica Young