Palmer Penguins
Installation
You can install the development version of palmerpenguins from GitHub with:
devtools::install_github("openwashdata/palmerpenguins", dependencies = TRUE)
Download as CSV Files
If you prefer to work with the data outside of R, you can download individual datasets as CSV files.
- Right-click on the “Download CSV” link for the dataset you want.
- Select “Save Link As”
or “Download Linked File”
.
- Choose where you’d like to save the file on your computer.
dataset | CSV |
---|---|
penguins | Download CSV |
Data
penguins
The dataset penguins
has 344
observations and 9
variables.
Variable Types: 3 character, 6 numeric
get("penguins") |>
head(3) |>
gt::gt() |>
gt::as_raw_html()
rowid | species | island | bill_length_mm | bill_depth_mm | flipper_length_mm | body_mass_g | sex | year |
---|---|---|---|---|---|---|---|---|
For an overview of the variable names, see the following table.
variable_name | variable_type | description |
---|---|---|
License
Data are available as CC-BY.
Citation
#> To cite package 'palmerpenguins' in publications use:
#>
#> Massari N, Schöbitz L, Tilley E (2025). "palmerpenguins: Palmer Penguins." doi:10.32614/CRAN.package.palmerpenguins
#> <https://doi.org/10.32614/CRAN.package.palmerpenguins>, <https://openwashdata.github.io/palmerpenguins>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Misc{massari_etall:2025,
#> title = {palmerpenguins: Palmer Penguins},
#> author = {Nicolo Massari and Lars Schöbitz and Elizabeth Tilley},
#> year = {2025},
#> doi = {10.32614/CRAN.package.palmerpenguins},
#> url = {https://openwashdata.github.io/palmerpenguins},
#> abstract = {The Palmer Penguins dataset contains penguins measurements.},
#> version = {0.0.1},
#> }