R for data science: import, tidy, transform, visualize, and model data

Explore. Data visualization with ggplot2 ; Workflow: basics ; Data transformation with dplyr ; Workflow: scripts ; Exploratory data analysis ; Workflow: projects

Wrangle. Tibbles with tibble ; Data import with readr ; Tidy data with tidyr ; Relational data with dplyr ; Strings with stringr ; Factors with forcats ; Dates and times with lubridate

Program. Pipes with magrittr ; Functions ; Vectors ; Iteration with purrr

Model. Model basics with modelr ; Model building ; Many models with purrr and broom

Communicate. R Markdown ; Graphics for communication with ggplot2 ; R Markdown formats ; R Markdown workflow.