Ellis Hughes
{tidytuesdayR} has the main goal to make it easy to participate in the weekly #TidyTuesday project. Currently this is done by assisting with the import of data posted on the R4DataScience Tidy Tuesday repository.
This package is available on CRAN via:
install.packages("tidytuesdayR")
To get the latest in-development features, install the development version from GitHub:
#install.packages("remotes")
remotes::install_github("thebioengineer/tidytuesdayR")
There are currently two methods to access the data from the respository.
The simplest way is to use the ‘tt_load()’ function. This function has accepts two types of inputs to determine which data to grab. It can be a date as a string in the YYYY-MM-DD format like below.
library(tidytuesdayR)
tt_data <- tt_load("2019-01-15")
Or the function can accept the year as the first argument, and which week of the year as the second.
tt_data <- tt_load(2019, week=3)
tt_load()
naively downloads all the data that is available and
stores them in the resulting tt_data
object. To access the data, use
the $
or [[
notation and the name of the dataset.
tt_data$agencies
tt_data[["agencies"]]
To view the readme, either print the tt_data
object or use the readme()
function. When you print the tt_data
object, you also get the available
datasets names printed in the console.
readme(tt_data)
print(tt_data)
## Available Datasets:
## agencies
## launches
##
As part of the goal of making participating in #TidyTuesday easier, {tidytuesdayR} now also provides a template!
To use it, just use the use_tidytemplate()
function!
By default, the template will assume to be using the most recent TidyTuesday.
However, you can pass a date object or character string in YYYY-MM-DD format
defining a different date you want to use. If you don't recall the exact date,
no worries, you can use the tt_available()
function to figure out which date
and get the date to use!
## this weeks TidyTuesday!
tidytuesdayR::use_tidytemplate()
## TidyTuesday from Week 42 of 2019
tidytuesdayR::use_tidytemplate(refdate = "2019-10-15")
Additionally, by default the template will create the new file in your working directory, using the "YYYY_MM_DD" format per good practices. However, if you are so inclined, you can rename it to whatever you wish.
tidytuesdayR::use_tidytemplate(name = "My Super Great TidyTuesday.Rmd")
Please note that the ‘tidytuesdayR’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.