“The impact of data scientists’ work depends on how well others can understand their insights to take further actions” (blog)
In this workshop, I will introduce you to the concept of Declarative Reactive Web Frameworks, allowing for interactive user-friendly data visualization and data analytics, particularly Shiny. Shiny is an R package that creates interactive applications for data visualization.
You will learn some Shiny basics: how to build your reactive app and deploy it to the server.
- R installation Instructions – slides
- CSV file – download
- Workshop Slides – slides
- Shiny Workshop Files: zip file
- Video of the workshop: youtube
Credits: Some ideas are based on the great tutorial by Dean Attali.
ITMS – Interactive Text Mining Suite ITMS is a web application for text analysis. This application offers the computational and statistical power of R and the Shiny web application interactivity.
The new release includes the following features:
- Import Zotero rdf files, Google Book API, json and xml
- Dynamic preprocessing steps
- Stemming in multiple languages
- Tuning parameters for cluster classification
- Word cloud comparison
- Word cloud customization
- Metadata extraction
Contributors: Jefferson Davis, Irina Trapido and Jay Lee
As always, please do not hesitate to contact if you have any issues or to request new features!