Χiplot: Web-First Visualisation Platform for Multidimensional Data
Abstract
$\chi$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 $\chi$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. $\chi$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 $\chi$iplot optimal for developing machine learning and new interaction methods.
Cite
Text
Tanaka et al. "Χiplot: Web-First Visualisation Platform for Multidimensional Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43430-3_26Markdown
[Tanaka et al. "Χiplot: Web-First Visualisation Platform for Multidimensional Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/tanaka2023ecmlpkdd-iplot/) doi:10.1007/978-3-031-43430-3_26BibTeX
@inproceedings{tanaka2023ecmlpkdd-iplot,
title = {{Χiplot: Web-First Visualisation Platform for Multidimensional Data}},
author = {Tanaka, Akihiro and Tyree, Juniper and Björklund, Anton and Mäkelä, Jarmo and Puolamäki, Kai},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2023},
pages = {335-339},
doi = {10.1007/978-3-031-43430-3_26},
url = {https://mlanthology.org/ecmlpkdd/2023/tanaka2023ecmlpkdd-iplot/}
}