PIPING HOT DATA: Project Oriented Workflows

Shannon Pileggi

Figure organize by functions, options, and the RStudio IDE, with icons to indicate traceback, interactive debugger, your code, their code.

Figure 1: Overview of debugging tools in R.

Overview

A 2-hour zoom workshop on Project Oriented Workflows for R-Ladies St. Louis.

Under the Creative Commons Share Alike 4.0 International license, workshop materials have been adapted from the 2022 RStudio What They Forgot To Teach You About R Workshop.

Learning objectives:

Establish the concept of the project as the basic organizational unit of work. RStudio offers rich support for this way of working via Projects.
Describe benefits of project oriented workflows.
Apply best practices for working in RStudio projects, including
- Creating robust file paths that travel well in time and space (someone else’s computer, your computer a year from now) with base R and with the {here} and {fs} packages.
- Constructing human and machine readable file names that sort nicely.
- Differentiating workflow elements, analysis inputs, and analysis outputs in project structure to create navigable programming interfaces.
- Restarting R frequently, with a blank slate.

Citation

For attribution, please cite this work as

Pileggi (2023, Sept. 11). PIPING HOT DATA: Project Oriented Workflows. Retrieved from https://www.pipinghotdata.com/talks/2023-09-11-project-oriented-workflows/

BibTeX citation

@misc{pileggi2023project,
  author = {Pileggi, Shannon},
  title = {PIPING HOT DATA: Project Oriented Workflows},
  url = {https://www.pipinghotdata.com/talks/2023-09-11-project-oriented-workflows/},
  year = {2023}
}