# seeingtheory/Seeing-Theory

A visual introduction to probability and statistics.

Repository: https://github.com/seeingtheory/Seeing-Theory
Canonical: https://ross.abutalabs.com/products/seeing-theory
Homepage: http://seeingtheory.io
Language: HTML
License: Apache-2.0
License Family: permissive
Last push: 2023-09-25T21:00:45+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3461, "days_push": 1073, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2187, forks 342 (observed 2026-08-28T04:06:23.810720+00:00)

## What it is
Seeing Theory is an interactive website that teaches probability and statistics through D3.js-based visualizations, covering topics from basic probability to Bayesian inference and regression. It was created by Daniel Kunin at Brown University and is now archived, with the site hosted for reference only.

## Use cases
- learn probability and statistics visually
- supplement an intro stats course with interactive visualizations
- teach AP or college statistics concepts interactively
- explore Bayes' theorem and distributions interactively
- find visual explanations of the central limit theorem
- use as a free resource for statistics education

## When to choose
- you want interactive, visual explanations of core statistics concepts
- you are a student or educator looking for a free supplementary stats resource
- you prefer learning probability through simulation and visualization

## When to avoid
- you need actively maintained or updated educational software
- you need a comprehensive textbook or rigorous course rather than visual introductions
- you need multilingual support beyond the existing translations

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: data-visualization
- domain: education, data-visualization, mathematics
- platform: browser
- tags: statistics, probability, interactive-visualizations, d3js, archived, open-educational-resource, education, web-server

## Member repositories
- seeingtheory/Seeing-Theory (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:23.810720+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 2026-08-30T02:47:53.644849+00:00, confidence not recorded.
  - readme: https://github.com/seeingtheory/Seeing-Theory (fetched 2026-08-28T04:06:23.810720+00:00, sha dd636402fcb0)
  - homepage: http://seeingtheory.io (fetched 2026-08-29T10:28:12.514633+00:00, sha 7e0e60692ab2)
- Data as of 2026-08-30T08:39:29.467469+00:00.