RadViz-Plotly 0.0.5

2D RadViz and 3D RadViz library, using plotly 2D and 3D scatter plot

RadViz-Plotly

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Short Description

The Radviz-Plotly package has two functions, 2DRadViz that plots the 2D Radial visualization and 3DRadViz that plots Radial visualization, using the powerful interactive tools in Plotly library.

Quickstart

Without Locally Installation

Try the RadViz-Plotly package without locally Installation Follow these steps
1- Click this link here. It's a collection of interactive Jupyter notebooks that contains three folders. Each folder contains Dataset and a Jupyter file that use RadViz-Plotly.
Hint: sometimes this link takes a long time to open as jupyter's environment.
2- After the jupyter environment comes out, open Car Evaluation Dataset, Election Dataset, or Iris Dataset folder.
3- Open file with extension .ipynb (the jupyter file)
4- After the jypyter file loading, from the cell list on the toolbar click Run All
Hints:
A- At the first running time, it takes time to install the dependences.
B- This is an interactive RadViz package where you can make zoom, fillter lables, and rotate the 3D graph
C- This packge depends on the plotly.py packge

With Locally Installation

1- Install RadViz Plotly using this command
pip install RadViz-Plotly
2- Download examples repository using this command
git clone https://github.com/elewah/RadViz-Plotly-Examples.git
or Download by clicking here
3- Run these examples using jupyter labs to understand how to use RadViz-Plotly package

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About

The RadViz-Plotly package has two functions, 2DRadViz for plotting the 2D Radial visualization, and 3DRadViz for drawing the 3D Radial visualization, using the powerful interactive tools in the Plotly library. A research group on the IoT lab at Ontario tech university developed it.

Citations

Kindly cite this paper in your research if it helps your work.
A. Elewah, A. A. Badawi, H. Khalil, S. Rahnamayan and K. Elgazzar, "3D-RadViz: Three Dimensional Radial Visualization for Large-Scale Data Visualization," 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 1037-1046, doi: 10.1109/CEC45853.2021.9504983.

Contact Us

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Copyright and Licenses

Code released under the MIT license.