TidyTuesday adventures
I try my best to put in a few Tuesday hours working on a TidyTuesday dataset when I can. If you are in Claremont, I hope you will join us; reach out to me for information on time and place.
- Official GitHub Repo for TidyTuesday: https://github.com/rfordatascience/tidytuesday
- The week’s data is posted each Tuesday on GitHub: https://github.com/rfordatascience/tidytuesday/tree/master/data/2022
- My TidyTuesday adventures
Novice
- Log in to https://posit.cloud/.
- If you go to Pomona College, log in to Pomona’s RStudio server at https://rstudio.pomona.edu/
- Or download R and RStudio (both free) onto your own computer. R is available at http://www.r-project.org/. Additionally, install the RStudio IDE in order to use RMarkdown, https://posit.co/downloads/.
To load the data in, create an R chunk and copy in the lines of code which are just below the phrase: # Or read in the data manually on the tidytuesday GitHub site for the particular day of interest. It will look something like this:
```{r}
dataset_1 <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/some_date/dataset_1.csv')
dataset_2 <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/some_date/dataset_2.csv')
```Beginner
Getting started with R: https://education.rstudio.com/learn/ and https://posit.cloud/learn/recipes
The introverse package is truly meant for beginners to the tidyverse. https://sjspielman.github.io/introverse/index.html
A fantastic ggplot2 tutorial
Intermediate
Go through the R for Data Science book (highly recommended!): https://r4ds.had.co.nz/
All of the fantastic cheatsheets
Experienced
More Advanced R for data science: https://adv-r.hadley.nz/
Great idea to get started with GitHub: https://happygitwithr.com/
Tidy Modeling with R by Max Kuhn and Juli Silge.
Text Mining with R by Julia Silge and David Robinson.