# rfordatascience/tidytuesday

Official repo for the #tidytuesday project

Repository: https://github.com/rfordatascience/tidytuesday
Canonical: https://ross.abutalabs.com/products/tidytuesday
Language: HTML
License: CC0-1.0
License Family: permissive
Last push: 2026-08-24T13:16:39+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 3094, "days_push": 9, "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 8359, forks 2585 (observed 2026-08-28T04:10:20.498936+00:00)

## What it is
TidyTuesday is a weekly social data project that publishes real-world datasets for people to practice data wrangling, visualization, and modeling in R, Python, Julia, or other tools. It is organized by the Data Science Learning Community and includes curated datasets, download helpers, and a sharing community.

## Use cases
- find real-world datasets to practice data cleaning
- weekly data visualization practice challenges
- learn data science with curated example datasets
- teach a data science course with real data
- practice plotting and tidying in R or Python
- join a community data analysis challenge

## When to choose
- you want realistic datasets for learning or teaching data skills
- you want a recurring challenge to build a visualization portfolio
- you want community feedback on your data analysis code

## When to avoid
- you need production-quality, documented, or guaranteed-accurate data
- you need a software library or tool rather than datasets
- you need datasets with strict licensing or privacy guarantees

## Facets
- artifact type: dataset
- maturity: active
- function: data-science, data-visualization, etl
- domain: data-science, education, data-visualization, tutorials
- platform: cross-platform, python, jvm-scripting
- tags: r, weekly-datasets, learning-project, community, practice-data, tidyverse

## Member repositories
- rfordatascience/tidytuesday (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:20.498936+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 2026-08-29T17:27:34.410423+00:00, confidence not recorded.
  - readme: https://github.com/rfordatascience/tidytuesday (fetched 2026-08-28T04:10:20.498936+00:00, sha 6f287a4c3c6c)
- Data as of 2026-08-30T08:39:29.467469+00:00.