VS Code Tutorials

Package website: https://ppbds.github.io/vscode.tutorials/

About this package

vscode.tutorials is a collection of tutorials for working with VS Code. Covers scripts, Quarto documents, git, Github, and Quarto websites. Makes extensive use of the tools in the tutorial.helpers package.

Installation

Install the development version from GitHub with:

remotes::install_github("PPBDS/vscode.tutorials")

Tutorials

There are many tutorials in the package. The recommended way to launch them is with the R Tutorials extension for VS Code, which lists every installed tutorial and lets you start one with a click.

As a backup, you can launch a tutorial from the R console with learnr::run_tutorial(), providing the short name of the tutorial and the package name.

learnr::run_tutorial(name = "01-code",
                     package = "vscode.tutorials")

VS Code Tutorials

The core tutorials introduce students to the VS Code integrated development environment.

• VS Code and Scripts (“01-code”). Introduce students to VS Code and to writing R code in simple scripts.

• VS Code and Quarto (“02-quarto”). Demonstrate more tricks for working with R code using VS Code, and also explain Quarto documents.

• Terminal (“03-terminal”). Teach the command line.

• VS Code and GitHub Introduction (“04-github-1”). Explain the basics of Git and GitHub, mostly in the context of VS Code.

• VS Code and GitHub Advanced (“05-github-2”). Provide more practice in working with Git/GitHub, including more details on the use of GitHub Pages.

• Quarto Websites Introduction (“06-websites-1”). Demonstrate the basics of website construction using Quarto projects.

• Quarto Websites Advanced (“07-websites-2”). Practice Quarto websites, with a focus on splitting data analysis tasks into separate files.

R for Data Science

These tutorials cover material from R for Data Science (2e) (R4DS) by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund. There are five related tutorials in the package: r4ds-1, r4ds-2, r4ds-3, r4ds-4, and r4ds-5. Different tutorials cover different chapters from the book as follows.

r4ds-1

Data import
Data visualization
Data transformations
Data tidying

r4ds-2

Spreadsheets
Layers
Exploratory data analysis
Communication

r4ds-3

Databases
Logical vectors
Numbers
Strings
Regular expressions

r4ds-4

Arrow
Factors
Dates and times
Missing values
Joins

r4ds-5

Hierarchical-data
Web scraping
Functions
Iterations

The organization of the tutorials is not the same as the organization of R4DS. Instead, each tutorial begins by sourcing data from a different sort of storage technology and then working with that data.

Analyzing US Census Data

We have one tutorial, tidycensus-1, covering material from Analyzing US Census Data: Methods, Maps, and Models in R by Kyle Walker.