$\chi$iplot: web-first visualisation platform for multidimensional data
Human-Computer Interaction
2023-10-16 v1 Computational Engineering, Finance, and Science
Abstract
iplot is an HTML5-based system for interactive exploration of data and machine learning models. A key aspect is interaction, not only for the interactive plots but also between plots. Even though iplot is not restricted to any single application domain, we have developed and tested it with domain experts in quantum chemistry to study molecular interactions and regression models. iplot can be run both locally and online in a web browser (keeping the data local). The plots and data can also easily be exported and shared. A modular structure also makes iplot optimal for developing machine learning and new interaction methods.
Keywords
Cite
@article{arxiv.2306.12110,
title = {$\chi$iplot: web-first visualisation platform for multidimensional data},
author = {Akihiro Tanaka and Juniper Tyree and Anton Björklund and Jarmo Mäkelä and Kai Puolamäki},
journal= {arXiv preprint arXiv:2306.12110},
year = {2023}
}
Comments
5 pages, 1 figure, accepted to the demo track of ECML PKDD 2023, https://github.com/edahelsinki/xiplot