Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R

Wickham, Hadley

ISBN 10: 1492047384 ISBN 13: 9781492047384

Editorial: O'Reilly Media, 2021

Idioma: Ingl�s

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T�tulo

Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R

Editor

O'Reilly Media

Fecha de publicaci�n

2021

Idioma

Ingl�s

ISBN 10

1492047384

ISBN 13

9781492047384

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Encuadernaci�n de tapa blanda

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New

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Sinopsis

Master the Shiny web framework--and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visualizations, and much more.

Hadley Wickham from RStudio shows data scientists, data analysts, statisticians, and scientific researchers with no knowledge of HTML, CSS, or JavaScript how to create rich web apps from R. This in-depth guide provides a learning path that you can follow with confidence, as you go from a Shiny beginner to an expert developer who can write large, complex apps that are maintainable and performant.

Get started: Discover how the major pieces of a Shiny app fit together
Put Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniques
Master reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph components
Apply best practices: Examine useful techniques for making your Shiny apps work well in production

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Hadley is Chief Scientist at RStudio, winner of the 2019 COPSS award, and a member of the R Foundation. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (like the tidyverse, which includes ggplot2, dplyr, and tidyr)and principled software development (e.g. roxygen2, testthat, and pkgdown). He is also a writer, educator, and speaker promoting the use of R for data science.

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