Main background
img

The source of the book

This book was brought from archive.org under a Creative Commons license, or the author or publishing house has agreed to publish the book. If you object to the publication of the book, please contact us.

img
img

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

(0)

Number Of Downloads:

74

Number Of Reads:

7

Language:

English

File Size:

7.70 MB

Category:

Technology

Section:

Pages:

557

Quality:

excellent

Views:

1271

img

Quate

img

Review

Save

Share

Book Description

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 togetherPut Shiny in action: Explore Shiny functionality with a focus on code samples, example apps, and useful techniquesMaster reactivity: Go deep into the theory and practice of reactive programming and examine reactive graph componentsApply best practices: Examine useful techniques for making your Shiny apps work well in production
img

Hadley Wickham

Hadley Alexander Wickham (born 14 October 1979) is a statistician from New Zealand and Chief Scientist at RStudio Inc. and an adjunct Professor of statistics at the University of Auckland, Stanford University, and Rice University.[9] He is best known for his development of open-source software for the R statistical programming language for data visualisation, including ggplot2,and other tidyverse packages, which support a tidy data approach to data science.
Read More
img

Read

Rate Now

1 Stars

2 Stars

3 Stars

4 Stars

5 Stars

Comments

User Avatar
img

Be the first to leave a comment and earn 5 points

instead of 3

Quotes

Top Rated

Latest

Quate

img

Be the first to leave a quote and earn 10 points

instead of 3