Introduction

Interactivity is an important tool when it comes to visualizing big data.
Interactivity is commonly used for presentation final results to the reader.
However, it is underused during the analisys.
Though there are lots of packages that provide interactive inside into the most common data types, visualization of complex data still reuquire a considerable effort.
We explore the idea of linking multiple charts together to create a powerful yet easy to use workframe to generate both quick and dirty interactive solutions for on-the-fly vizualizations, and prettified server apps.

Linking charts

Example with oral cancer + code.
Figure D.
Emphasis on the on_click callback.

Workflow overview

Figure C

Syntax and structure

Figure B (?) - to emphasize the simplicity of the code.
Example with correlation heatmap. Another figure (?)
Figure A - all available functions.
Input forms

Discussion

Mention journals like F1000 (with interactive figures)
Server apps