Outstanding User Interfaces with Shiny Outstanding User Interfaces with Shiny
Chapman & Hall/CRC The R Series

Outstanding User Interfaces with Shiny

    • ¥11,800
    • ¥11,800

発行者による作品情報

Outstanding User Interfaces with Shiny provides the reader with necessary knowledge to develop beautiful and highly interactive user interfaces. It gives the minimum requirements in HTML/JavaScript and CSS to be able to extend already existing Shiny layouts or develop new templates from scratch. Suitable for anyone with some experience of Shiny, package development and software engineering best practices, this book is an ideal guide for graduates and professionals who wish to bring their app design to the next level.

Key Features: Provides a survival kit in web development to seamlessly get started with HTML/CSS/JavaScript Leverage CSS and Sass and higher-level tools like {bslib} to substantially enhance the design of your app in no time A comprehensive guide to the {htmltools} package to seamlessly customize existing layouts Describes in detail how Shiny inputs work and how R and JavaScript communicate Details all the necessary steps to create a production-grade custom template from scratch: packaging, shiny tags creation, validating and testing R components and JavaScript Expose common web development debugging technics Provides a list of existing templates, resources to get started and to explore

ジャンル
ビジネス/マネー
発売日
2022年
8月31日
言語
EN
英語
ページ数
510
ページ
発行者
CRC Press
販売元
Taylor & Francis Group
サイズ
91.2
MB
Mastering IDEAScript Mastering IDEAScript
2011年
Design and Implementation of a Test Framework Design and Implementation of a Test Framework
2012年
Automated Data Analysis Using Excel Automated Data Analysis Using Excel
2020年
Implementing SAP BPC Embedded 2nd Edition Implementing SAP BPC Embedded 2nd Edition
2021年
Implementing Models of Financial Derivatives Implementing Models of Financial Derivatives
2011年
Derivatives Algorithms - Volume 1: Bones (Second Edition) Derivatives Algorithms - Volume 1: Bones (Second Edition)
2015年
Introduction to Political Analysis in R Introduction to Political Analysis in R
2025年
Displaying Time Series, Spatial, and Space-Time Data with R Displaying Time Series, Spatial, and Space-Time Data with R
2025年
Copula Additive Distributional Regression Using R Copula Additive Distributional Regression Using R
2025年
Spatio-Temporal Statistics with R Spatio-Temporal Statistics with R
2019年
Microeconometrics with R Microeconometrics with R
2025年
Statistical Inference via Data Science Statistical Inference via Data Science
2025年