Interactive Visualization on Asp.Net using Python
Interactive Visualization technology
not only allows effective data graphic representation but also enables exploration
of data via the manipulation of chart images, with color, brightness, size, shape, and motion of visual objects
representing aspects of the dataset being analyzed.
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In this demo, I use
plotly, an interactive visualization software library
that, supporting both R and Python, enables rich interface for Machine Learning & Data Science web apps. To reproduce this work,
you just need to install Python
with
plotly. The package
matplotlib may be required for data visualization as per your convenience.
This web page was developed using C# with Ajax technology for frontend and Python for backend,
allowing
Interactive Visualization.
Connection between C# and Python was done using
IronPython,
an implementation of Python programming language targeting .NET Framework.
