A data visualization tool for trend analysis and correlations between top 100 cryptocurrencies, implemented with D3.js library and Python (for dimensionality reduction). In the first stage the project was developed for Visual Analytics course at University of Rome, La Sapienza.
Dataset: top-100-cryptocurrency-historical-data.
The project is developed by Pietro Manganelli Conforti ([email protected]), Matteo Emanuele ([email protected]), Pietro Nardelli ([email protected]), G. Santucci and M. Angelini.
The data visualization tool is accessible from this link (actually PC version only).
The research work can be found in the following short paper on Eurographics. The supplemental material can be found in the latter link or here.
Tested on Google Chrome (version 97.0.4692.99 or 98.0.4758.82, official build 64-bit) and Opera (83.0.4254.27 64-bit) browsers.
We encourage you to avoid using CryptoComparator in Firefox and IE browsers due to possible compatibility issues.
Use this BibTex to cite this work:
@inproceedings {10.2312:eurova.20221078,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Bernard, Jürgen and Angelini, Marco},
title = {{CryptoComparator: A Visual Analytics Environment for Cryptocurrencies Analysis}},
author = {Conforti, Pietro Manganelli and Emanuele, Matteo and Nardelli, Pietro and Santucci, Giuseppe and Angelini, Marco},
year = {2022},
publisher = {The Eurographics Association},
ISSN = {2664-4487},
ISBN = {978-3-03868-183-0},
DOI = {10.2312/eurova.20221078}
}