September 2024
Intermediate to advanced
390 pages
10h 23m
Spanish
Content preview from Fundamentos de la visualización de datos
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Notas técnicas
Todo el libro se escribió en R Markdown, utilizando los paquetes bookdown,rmarkdown, y knitr. Todas las figuras se hicieron con ggplot2,con la ayuda de varios paquetes complementarios, como cowplot, geofacet, ggforce, ggmap, ggrepel, ggridges, hexbin, patchwork, sf, statebins, tidybayes, y treemapify. Las manipulaciones del color se hicieron con los paquetes colorspace y colorblindr. Para muchos de estos paquetes, es necesaria la versión de desarrollo actual para compilar todas las partes del libro.
El código fuente del libro está disponible en https://github.com/clauswilke/dataviz. El libro también requiere un paquete R de apoyo, dviz.supp, cuyo código está disponible en https://github.com/clauswilke/dviz.supp.
El libro se compiló por última vez utilizando el siguiente entorno:
## R version 3.5.0 (2018-04-23) ## Platform: x86_64-apple-darwin15.6.0 (64-bit) ## Running under: macOS Sierra 10.12.6 ## ## Matrix products: default ## BLAS: /Library/Frameworks/ ... /libRblas.0.dylib ## LAPACK: /Library/Frameworks/ ... /libRlapack.dylib ## ## locale: ## [1] en_US.UTF-8/en_US.UTF-8/ ... /C/en_US.UTF-8/en_US.UTF-8 ## ## attached base packages: ## [1] stats graphics grDevices utils datasets methods base ## ## other attached packages: ## [1] nycflights13_1.0.0 gapminder_0.3.0 RColorBrewer_1.1-2 ## [4] gganimate_1.0.0.9000 ungeviz_0.1.0 emmeans_1.3.1 ## [7] mgcv_1.8-24 nlme_3.1-137 broom_0.5.1 ## [10] tidybayes_1.0.3 maps_3.3.0 statebins_2.0.0 ## [13] sf_0.7-1 maptools_0.9-4 ...
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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.