{"ok":true,"nota":{"id":"fb81b598af017c2a","slug":"como-evitar-que-datos-erroneos-deformen-las-curvas-en-un-analisis-fb81b5","titulo":"Cómo evitar que datos erróneos deformen las curvas en un análisis","resumen":"Serie técnica sobre estimación robusta que explica cómo construir curvas precisas con polinomios y splines cuando los datos contienen valores espurios.","fuente":"tds","fuenteNombre":"Towards Data Science","color":"#2d6a3e","autor":"Aamir Hussain Chughtai, PhD","url":"https://towardsdatascience.com/dont-let-messy-data-bend-your-curves/","imagen":"/hoy/portada/fb81b598af017c2a","tema":"tecnologia","subtemas":["ciencia de datos","estadistica","estimacion robusta","visualizacion de datos","splines"],"entidades":["Towards Data Science"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-23T15:30:00.000Z","indexTs":"2026-10-24T00:38:06.114Z","hash":"e7249ddeb50f8323ca037e9613cb67ab68aff9191ee01dbffc26380e5546928b","tsa":{"time":"Oct 24 00:39:18 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Cualquier gráfico que combina cifras de encuestas, mediciones o registros puede mostrar una tendencia falsa si unos pocos datos malos quedan sin filtrar. Para quien trabaja con números sin ser especialista, la lección es desconfiar de las curvas perfectas. Un error de carga puede cambiar la historia que cuenta un gráfico. ¿Cuántas conclusiones publicadas descansan en datos que nadie revisó?","quienFirma":"Towards Data Science","confianza":"divulgacion","consulta":null},"sello":{"hash":"e7249ddeb50f8323ca037e9613cb67ab68aff9191ee01dbffc26380e5546928b","sello":"edfeade0249b0ec12e6bde0e2f333ccdcc0cfc72ae01417f9f6a9cf04023a65f","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6579043,"aleatorio":"c97f15080e508ac5d537ce2cbc9b8d3c73b2ee69ef8b718f29f2e506b202ad12","tiempo":"2026-10-24T00:38:30.000Z"},"nist":{"cadena":2,"pulso":1996715,"salida":"7B84563C783D6D59C2F8743D2C88ABB94B77309E73629D1CB2073F057DBF4F56C6C5700E2FAD98109511D5FFFA5F29D99E44C5C064EC375468CAFFBB9159E0F0","tiempo":"2026-10-24T00:38:00.000Z"},"noAntes":"2026-10-24T00:38:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 24 00:39:18 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Don’t Let Messy Data Bend Your Curves","descripcion":"Robust Estimation Series: Building Accurate Curves with Polynomials and Splines With Spurious Data The post Don’t Let Messy Data Bend Your Curves appeared first on Towards Data Science .","pubDate":"Fri, 23 Oct 2026 15:30:00 GMT","url":"https://towardsdatascience.com/dont-let-messy-data-bend-your-curves/"},"indexado":"2026-10-24T00:38:06.114Z"}}