Interactive Charts

Interactive Visualization on .Net with 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.