DataViz3D: An Novel Method Leveraging Online Holographic Modeling for Extensive Dataset Preprocessing and Visualization

Abstract

DataViz3D is an innovative online software that transforms complex datasets into interactive 3D spatial models using holographic technology. This tool enables users to generate scatter plot within a 3D space, accurately mapped to the XYZ coordinates of the dataset, providing a vivid and intuitive understanding of the spatial relationships inherent in the data. DataViz3D’s userfriendly interface makes advanced 3D modeling and holographic visualization accessible to a wide range of users, fostering new opportunities for collaborative research and education across various disciplines. This project is hosted at:DataViz3D Frontpage

Features

• 3D Object Manipulation: Users can add and interact with 3D objects like cubes, cylinders, and spheres.
• Data Visualization: Facilitates the conversion of data points from CSV files into visual 3D elements in real-time.
• 3d model Editing: Allows for the modification of properties of 3D objects such as position (x, y, z), color, and more.
• Local and Server Storage: Provides options to save the current state locally or on the server.
• FPS Testing: Includes functionality to test frames per second (FPS) in the 3D environment.
• Holographic Display: Includes functionality to present Holographic display through Holoplay.js on Looking Glass

Prerequisites

• Web browser with WebGL support.

Hardware Compatibility

• For our demonstration, we utilized the Looking Glass 32" display. DataViz3D is also compatible with other visualization hardware from Looking Glass Factory that supports holoplay.js.

Local Installation

1. Clone or download the repository to your local machine.
2. Install flask and run app.py

Dependencies

• Three.js (included in /build/three.min.js)
• jQuery (included in /w2ui/jquery-3.5.1.min.js)
• w2ui (included in /w2ui/w2ui-1.5.min.js and its corresponding CSS file)

Usage

• To add objects, click on the 'Add' menu and select the type of object you want to add.
• Select an object to view and edit its properties in the properties panel.
• Import CSV data through the 'upload CSV' option in the 'Application' menu for data visualization.
• Save the current state either locally or on the server using the 'save' option.

Contributing

Contributions to DataViz3D are welcome. Please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature.
3. Commit your changes.
4. Push to the branch.
5. Create a new Pull Request.

License

DataViz3D is open-source software licensed under the MIT License.