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

Wickham, Hadley

ISBN 10: 1492047384 / ISBN 13: 9781492047384

Verlag: O'Reilly Media, 2021

Beschreibung

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Bestandsnummer des Verkäufers mon0000473120

Bibliografische Details

• Titel: Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R
• Verlag: O'Reilly Media
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 1492047384
• ISBN-13: 9781492047384
• Einband: paperback
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

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

Über die Autorin bzw. den Autor

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.