{"adoption": {"forks": 663, "observed_at": "2026-08-28T04:04:04.219601+00:00", "stars": 1231}, "canonical_url": "https://ross.abutalabs.com/products/statistics-for-data-scientists", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Code and data associated with the book \"Statistics for Data Scientists: 50 Essential Concepts\"", "domain": ["data-science", "tutorials"], "enriched": true, "function": ["data-science", "analytics"], "health_score": 20, "homepage": null, "language": "R", "license": null, "license_family": "other", "maturity": "maintenance", "member_repos": ["andrewgbruce/statistics-for-data-scientists"], "name": "andrewgbruce/statistics-for-data-scientists", "platform": ["python", "cross-platform"], "pushed_at": "2022-12-16T01:16:27+00:00", "repo": "andrewgbruce/statistics-for-data-scientists", "stars": 1231, "tags": ["r", "statistics", "book-companion", "educational"], "topics": [], "urls": [], "use_cases": ["learn statistics for data science with practical R code", "replicate book figures and examples in R", "study essential statistical concepts like sampling, regression, and classification", "download and explore datasets used in a statistics textbook", "supplement self-study of practical statistics"], "what_it_is": "Companion code and data repository for the book 'Practical Statistics for Data Scientists: 50 Essential Concepts', containing R scripts organized by chapter that replicate the book's figures and examples. It serves as a hands-on learning resource for applying statistical concepts in data science.", "when_to_avoid": ["you need a production statistics library rather than educational scripts", "you work in Python and want the original book's code (the maintained repo is gedeck/practical-statistics-for-data-scientists)", "you expect a maintained software package with releases and support"], "when_to_choose": ["you are reading the book and want runnable code for its examples", "you want to learn applied statistics through R scripts", "you need example datasets for practicing statistical analysis"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/statistics-for-data-scientists", "repo": "andrewgbruce/statistics-for-data-scientists", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:04.219601+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T08:22:24.980792+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7e80d80f5f01231b25fd429659fd94a262fa7eb1aad8b62bbb7a8442e699f698", "fetched_at": "2026-08-28T04:04:04.219601+00:00", "kind": "readme", "missing": false, "url": "https://github.com/andrewgbruce/statistics-for-data-scientists"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3412, "days_push": 1357, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}