Quick reference guides for our tools and packages
Quick reference guide for use python with r with reticulate
Quick reference guide for string manipulation with stringr
Quick reference guide for shiny for r
Quick reference guide for shiny for python
Quick reference guide for rstudio ide
Quick reference guide for rmarkdown
Quick reference guide for rest apis with plumber
Quick reference guide for publish and share with quarto
Get your data ready for modeling using pipable sequences of feature engineering steps with recipes
Quick reference guide for positron
Quick reference guide for posit team
Quick reference guide for package development
Quick reference guide for natural language processing using llms in r & python
Learn about readr, readxl, and haven
Quick reference guide for gt
Quick reference guide for great tables
Quick reference guide for factors with forcats
Quick reference guide for deep learning with keras
Quick reference guide for dates and times with lubridate
Quick reference guide for data visualization with plotnine
Quick reference guide for data visualization with ggplot2
Quick reference guide for data transformation with dplyr
Quick reference guide for data tidying with tidyr
Quick reference guide for data science in spark with sparklyr
Quick reference guide for apply functions with purrr
Quick reference guide for ai chatbots with shinychat
