R & other artwork!
This repo contains my #rstats, data science & stats illustrations shared on my twitter account (@allison_horst)
All of this artwork is 100% available (and encouraged!) for open use by CC-BY license. That means: Hooray! I'm so happy that you want to share this artwork - especially if it helps when teaching R/rstats/stats. You can just cite with "Artwork by @allison_horst". That's it! Click on the images below for the hi-res versions.
This work is licensed under a Creative Commons Attribution 4.0 International License.
beepr let's you pick and play a notification sound when your code/analysis is done running:
dplyr::mutate creates or transforms a variable (column) while keeping the existing ones:
dplyr: get your data wrangling on.
gganimate: get a little action in(to your graphs)...
ggplot2 for visual data exploration:
...and use ggplot2 for creating beautiful data masterpieces!
here for more peaceful (file) paths:
Use lubridate to work more easily & intuitively with dates & times:
Like lubridate_ymd() to easily parse year/month/day data!
Part of tidymodels, the parsnip package creates standardized syntax across model engines:
You can do it!
Use recipes to streamline data preprocessing for stats & machine learning models:
Create reproducible examples to get (and give) help more easily with reprex!
Get your code, text & outputs in the same (reproducible) place with Rmarkdown:
Be an Rmarkdown knitting wizard.
Use the sf package for simpler spatial data analysis with geometries that stick to attributes:
Soon to be pivot_wider() & pivot_longer()! tidyr::spread() & gather():
Blast off into the...
For #rstats and friends!
Other stats artwork:
Type I errors:
Type II errors:
Brazilian Portuguese: rstats-artwork-PT
Please submit translations as an issue!
Thank you to all the R developers, maintainers, contributors, teachers and communicators who actually MAKE all of these amazing packages and documentation that have inspired this #rstats artwork! You're real-life superheroes. When I create an illustration with your package it's with immense gratitude for how your hard work has allowed me to do mine (using and teaching #rstats) more efficiently, more clearly, more reproducibly....just plain better. THANK YOU!