September 2024
Intermediate to advanced
578 pages
13h 44m
Spanish
book
R para la Ciencia de Datos, 2ª Edición
by Hadley Wickham, Mine Cetinkaya-Rundel, Garrett Grolemund
Content preview from R para la Ciencia de Datos, 2ª Edición
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Introducción
La ciencia de datos es una disciplina apasionante que te permite transformar datos brutos en comprensión, perspicacia y conocimiento. Los objetivos de R para la Ciencia de Datos son ayudarte a aprender las herramientas más importantes de R que te permitirán hacer ciencia de datos de forma eficiente y reproducible, ¡y divertirte un poco por el camino! Después de leer este libro, tendrás las herramientas necesarias para enfrentarte a una amplia variedad de retos de la ciencia de datos utilizando las mejores partes de R.
Prefacio a la Segunda Edición
¡Bienvenido a la segunda edición de R para la Ciencia de Datos (R4DS)! Se trata de una importante revisión de la primera edición, eliminando material que ya no consideramos útil, añadiendo material que desearíamos haber incluido en la primera edición y, en general, actualizando el texto y el código para reflejar los cambios en las buenas prácticas. También estamos muy contentos de dar la bienvenida a una nueva coautora: Mine Çetinkaya-Rundel, una destacada educadora en ciencia de datos y una de nuestras colegas de Posit (la empresa antes conocida como RStudio).
A continuación, un breve resumen de los cambios más importantes:
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La primera parte del libro ha pasado a llamarse "Juego completo". El objetivo de esta sección es darte los detalles aproximados del "juego completo" de la ciencia de datos antes de sumergirnos en los detalles.
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La segunda parte del libro es "Visualizar". Esta parte ofrece una cobertura más exhaustiva ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.