Data Science in the tidyverse, a two-day workshop @ rstudio:conf(2018)
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
cheatsheets
resources
slides
.gitignore
00-Getting-started.Rmd
01-Visualize.Rmd
02-Transform.Rmd
03-Tidy.Rmd
04-Case-Study.Rmd
05-Data-Types.Rmd
06-Iterate.Rmd
07-Model.Rmd
08-Organize.Rmd
99-Setup.md
README.md
data-science-in-the-tidyverse.Rproj
email-to-participants.md

README.md

This is the repo for "Data Science in the tidyverse" given at rstudio::conf(2018) in Jan 2018.

Description

This is a two-day hands on workshop based on the book R for Data Science. This workshop is designed for people who are familiar with R and want to learn how to achieve their data analysis goals the "tidy" way. You will learn how to visualize, transform, and model data in R and work with date-times, character strings, and untidy data formats. Along the way, you will learn and use many packages from the tidyverse including ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, lubridate, and forcats.

Software Requirements

You'll be using RStudio Cloud, so (all going well) on the day of the workshop all you'll need is a laptop that can access the internet (wifi will be available).

However, as a backup (e.g. in case of wifi issues) it would be best if you also have R and RStudio installed locally, along with the following packages:

install.packages(c("tidyverse", "fivethirtyeight",
   "gapminder", "rmarkdown"))

Don't forget to bring your power cable!

Instructor Info

Charlotte Wickham

License

Creative Commons License

Data Science in the tidyverse by Charlotte Wickham is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at https://github.com/rstudio/master-the-tidyverse.