- Learning Shiny
- Hernán G. Resnizky
- 110字
- 2021-07-09 21:46:07
Preface
R is a growing language that is gaining more and more space among data scientists. With over 7,000 packages, you can cover every stage within R: from data extraction, cleansing, and processing to advanced analysis, modelling, or visualization. In this context, Shiny is the tool that will take your R code to the next level, as you will be able to share all your outcomes with anyone through a dynamic web application. Shiny is not just a dashboard tool, but it is the gateway to unveiling hidden facts about data, even for nonexpert users. In other words, developing a Shiny application is like providing access to the R universe.
推薦閱讀
- C++ Builder 6.0下OpenGL編程技術
- Web交互界面設計與制作(微課版)
- Mastering Ubuntu Server
- 正則表達式經典實例(第2版)
- 琢石成器:Windows環境下32位匯編語言程序設計
- Node.js全程實例
- 零基礎Java學習筆記
- Geospatial Development By Example with Python
- Vue.js應用測試
- Mastering jQuery Mobile
- INSTANT JQuery Flot Visual Data Analysis
- Learning Dynamics NAV Patterns
- Python實戰指南:手把手教你掌握300個精彩案例
- Python程序設計現代方法
- Practical XMPP