Visualization Techniques with Data Cubes: Utilizing Concurrency for Complex Data
Daniel Szelogowski · arXiv (Cornell University) · 2021
With web and mobile platforms becoming more prominent devices utilized in data analysis, there are currently few systems which are not without flaw. In order to increase the performance of these systems and decrease errors of data oversimplification, we seek to understand how other programming languages can be used across these platforms which provide data and type safety, as well as utilizing concurrency to perform complex data manipulation tasks.