--- title: Babe Ruth: How good was he? Mantle versus Ruth | daily.dev description: A data-driven comparison of Babe Ruth and Mickey Mantle's lifetime baseball statistics using the Sean Lahman dataset in R. The analysis uses the lahman R... canonical: https://daily.dev/posts/babe-ruth-how-good-was-he-mantle-versus-ruth-cq6cwwhyz twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Babe Ruth: How good was he? Mantle versus Ruth | daily.dev og:description: A data-driven comparison of Babe Ruth and Mickey Mantle's lifetime baseball statistics using the Sean Lahman dataset in R. The analysis uses the lahman R... og:url: https://daily.dev/posts/babe-ruth-how-good-was-he-mantle-versus-ruth-cq6cwwhyz og:image: https://api.daily.dev/og/posts/cQ6cwWhyz.png og:image:alt: Babe Ruth: How good was he? Mantle versus Ruth og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Babe Ruth: How good was he? Mantle versus Ruth **[R-bloggers](https://daily.dev/sources/rbloggers)** · 4 min read · 0 upvotes · 0 comments ## Summary A data-driven comparison of Babe Ruth and Mickey Mantle's lifetime baseball statistics using the Sean Lahman dataset in R. The analysis uses the lahman R package and dplyr to aggregate batting and fielding stats, showing Ruth's career numbers exceed Mantle's in nearly every offensive category except stolen bases. The post also examines outfield defensive metrics, noting Ruth's significantly higher assist count likely due to his background as a pitcher. The R code for the analysis is provided in full. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Ribbie turns real-time baseball stats into arcade-like, pixel art broadcasts](https://daily.dev/posts/ribbie-turns-real-time-baseball-stats-into-arcade-like-pixel-art-broadcasts-k84uxwk0l) · TechCrunch · 1 upvotes · 0 comments - [How to Analyze Ball-by-Ball Cricket Data in R \(cricketdata\)](https://daily.dev/posts/how-to-analyze-ball-by-ball-cricket-data-in-r-cricketdata--kv2ht41xx) · R-bloggers · 0 upvotes · 0 comments - [Data Manipulation in Clojure Compared to R and Python](https://daily.dev/posts/data-manipulation-in-clojure-compared-to-r-and-python-y9x2aopsz) · Hacker News · 0 upvotes · 0 comments - [Fight Data Science in R: Proven Boxing Metrics & Models](https://daily.dev/posts/fight-data-science-in-r-proven-boxing-metrics-models-lu0hsuugu) · R-bloggers · 0 upvotes · 0 comments - [R language is making a comeback – Tiobe](https://daily.dev/posts/r-language-is-making-a-comeback-tiobe-0hmgzdkkh) · InfoWorld · 0 upvotes · 0 comments --- Tags: [#r](https://daily.dev/tags/r), [#data-analysis](https://daily.dev/tags/data-analysis) [View this post on daily.dev](https://daily.dev/posts/babe-ruth-how-good-was-he-mantle-versus-ruth-cq6cwwhyz) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Babe Ruth: How good was he? 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