Vega packaged by Data Science Dojo

Data Science Dojo

Vega packaged by Data Science Dojo

Data Science Dojo

A declarative language interpreter for generating and sharing advanced visualizations

Data Science Dojo delivers data science education, consulting, and technical services to harvest the power of data.

Trademarks: This software listing is packaged by Data Science Dojo. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.


About the offer:

Vega is an open-source visualization grammar integrated into a web interface that can be used for interactive data analytics and visualization. It is a declarative language that offers the capabilities to support advanced data exploration, programmatically customizable visualizations of datasets, and variable combinations of vibrant designs. The JSON nature of Vega makes it simple to comprehend, develop, and modify. You can render views in HTML5 Canvas or SVG and can share your work with collaborators.

Who benefits from this offer:

  • Research Students
  • Data Analysts
  • Data Engineers
  • UI/UX Developers
  • And anyone else interested in Data Science and wants to visualize their data

What is included in this offer:
  • A web-based Vega environment
  • High functioning in-browser Vega and Vega-Lite code editors
  • Various examples of visualizations containing JSON code specifications
  • Numerous tutorials for understandibility
  • Feature to export your visuals in PNG, JSON, SVG, PDF and HTML formats
  • Flexibility to create distribution, tree and network diagrams, geographic maps, heatmaps, clocks, and interactive movable visualizations
  • Ability to share and load via URL or GitHub Gist
Technical Specifications:

  • Minimum memory: 8 GB
  • Minimum vCPU: 2 vCPUs
  • Operating System: Ubuntu 20.04
Instructions to get started:

Open the VM terminal and run the following commands to start the web server:

  • cd /opt/vegadir/vega/docs
  • yarn docs --host

The default HTTP port Vega listens to is 4000. You can access the web interface at http://your_ip:4000/vega/