Tutorials for R for Data Science and US Census Data • misc.tutorials

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

About this package

misc.tutorials is a collection of interactive tutorials covering R for Data Science essentials and US Census data analysis. Makes extensive use of the tools in the tutorial.helpers package.

Installation

Install the development version from GitHub with:

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

Tutorials

The recommended way to launch the tutorials 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 = "r4ds-1",
                     package = "misc.tutorials")

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, census, covering material from Analyzing US Census Data: Methods, Maps, and Models in R by Kyle Walker.

Miscellaneous Tutorials