Vis-sieve

Vis-sieve is a project that aims to analyze the use of visualizations in academia.

This research is based on a small sample of journal data from Princeton, covering the years 2022 to 2023. The key aspects of the project include:

1. Different types of charts and their distribution across various domains.
2. Changes in chart types over a time series.
3. Visualization of data on a 3D canvas for navigation.
4. A visualization database that facilitates searching, sorting, and other operations.