Mastering Shiny - Build Interactive Apps, Reports, and Dashboards Powered by R - Grand Format

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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... Lire la suite
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Résumé

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.

Caractéristiques

  • Date de parution
    15/06/2021
  • Editeur
  • ISBN
    978-1-4920-4738-4
  • EAN
    9781492047384
  • Format
    Grand Format
  • Présentation
    Broché
  • Nb. de pages
    348 pages
  • Poids
    0.77 Kg
  • Dimensions
    17,5 cm × 23,5 cm × 2,5 cm

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À propos de l'auteur

Biographie de Hadley Wickham

Hadley Wickham is chief scientist at RStudio. a winner of the 2019 COPES Presidents' Award, and a member of the R Foundation. He builds computational and cognitive tools to make data science easier, faster, and more fun. His work includes packages for data science and principled software development. He's also a writer. educator, and speaker, promoting the use of R for data science.

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