# allisonhorst/palmerpenguins

A great intro dataset for data exploration & visualization (alternative to iris).

Repository: https://github.com/allisonhorst/palmerpenguins
Canonical: https://ross.abutalabs.com/products/palmerpenguins
Homepage: https://allisonhorst.github.io/palmerpenguins/
Language: R
License: CC0-1.0
License Family: permissive
Last push: 2024-09-19T22:20:38+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2280, "days_push": 713, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1014, forks 253 (observed 2026-08-28T04:03:13.967830+00:00)

## What it is
An R package providing the Palmer Station Antarctica penguin dataset as a friendly alternative to the classic iris dataset for data exploration, visualization, and teaching. It includes a simplified dataset (penguins) and the raw version (penguins_raw) with measurements like bill length, flipper length, and body mass across three penguin species.

## Use cases
- teaching data exploration and visualization to beginners
- finding an alternative to the iris dataset for classification examples
- practicing ggplot2 plotting with real ecological data
- demonstrating data cleaning with missing values
- learning R data frames and tibbles with a small real dataset
- introductory statistics and machine learning classification exercises

## When to choose
- you need a small, clean, real-world dataset for teaching or tutorials
- you want a more interesting alternative to iris for classification or visualization demos
- you are writing R educational content about exploratory data analysis

## When to avoid
- you need large-scale or production ecological data
- you need a dataset outside R without loading the package
- you need time-series or high-dimensional data

## Facets
- artifact type: dataset
- maturity: stable
- function: data-science, data-visualization, machine-learning
- domain: data-science, education, data-visualization
- platform: python, cross-platform
- tags: r-package, penguins, teaching-dataset, iris-alternative, exploratory-data-analysis, cran

## Member repositories
- allisonhorst/palmerpenguins (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:13.967830+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:11:31.710022+00:00, confidence not recorded.
  - readme: https://github.com/allisonhorst/palmerpenguins (fetched 2026-08-28T04:03:13.967830+00:00, sha 652023d26bd6)
  - homepage: https://allisonhorst.github.io/palmerpenguins/ (fetched 2026-08-29T13:10:47.072480+00:00, sha 8cee2325e59b)
- Data as of 2026-08-30T08:39:29.467469+00:00.