September 2024
Intermediate to advanced
390 pages
10h 23m
Spanish
Content preview from Fundamentos de la visualización de datos
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Capítulo 1. Introducción Introducción
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La visualización de datos es en parte arte y en parte ciencia. El reto consiste en hacer bien el arte sin equivocarse en la ciencia, y viceversa. Una visualización de datos debe, ante todo, transmitir con precisión los datos. No debe engañar ni distorsionar. Si una cifra es el doble de grande que otra, pero en la visualización parecen más o menos iguales, entonces la visualización es errónea. Al mismo tiempo, una visualización de datos debe ser estéticamente agradable. Las buenas presentaciones visuales tienden a realzar el mensaje de la visualización. Si una figura contiene colores discordantes, elementos visuales desequilibrados u otras características que distraen, entonces al espectador le resultará más difícil inspeccionar la figura e interpretarla correctamente.
Según mi experiencia, los científicos suelen saber (¡aunque no siempre!) cómo visualizar los datos sin que resulten excesivamente engañosos. Sin embargo, es posible que no tengan un sentido muy desarrollado de la estética visual y que, sin darse cuenta, tomen decisiones visuales que desvirtúen el mensaje deseado. Los diseñadores, por su parte, pueden preparar visualizaciones que parezcan bonitas, pero que jueguen a la ligera con los datos. Mi objetivo es proporcionar información útil a ambos grupos.
Este libro intenta cubrir los principios, métodos y conceptos ...
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