October 2024
Intermediate to advanced
444 pages
9h 51m
Spanish
Content preview from R Graphics Cookbook, 2ª Edición
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Prefacio
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Cuando publicó la primera edición de este libro hace cinco años, la expresión "ciencia de datos" acababa de entrar en el léxico popular. Hoy en día, la expresión es inevitable si estás relacionado con las ciencias, el periodismo o las industrias de alta tecnología. Esto ha sido posible gracias a muchos avances interrelacionados: existe una conciencia generalizada de que comprender los datos cuantitativos tiene beneficios tangibles; hay recursos educativos mejores y más ampliamente disponibles sobre cómo hacer ciencia de datos; y, por último, las herramientas han evolucionado, siendo cada vez más fáciles de usar y de iniciarse.
El objetivo de de este libro es ayudarte a comprender tus datos visualizándolos, y ayudarte a transmitir esa comprensión a los demás. Puedes considerar el análisis de datos como el proceso de transformar los datos brutos en ideas en la mente de alguien. Una de las técnicas clave para hacerlo es crear visualizaciones de los datos. Nuestros cerebros tienen sistemas visuales de detección de patrones muy desarrollados, y las visualizaciones de datos son una forma de utilizar eficazmente esos sistemas visuales para hacer llegar información cuantitativa a la mente de una persona.
Cada receta de en este libro enumera un problema y una solución. En la mayoría de los casos, las soluciones que ofrezco no son la única manera de hacer las ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.