A substrate for modular, extensible data-visualization

Background As the scope of scientific questions increase and datasets grow larger, the visualization of relevant information correspondingly becomes more difficult and complex. Sharing visualizations amongst collaborators and with the public can be especially onerous, as it is challenging to reconci...

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Veröffentlicht in:	Big data analytics Jg. 5; H. 1; S. 1 - 15
Hauptverfasser:	Matelsky, Jordan K., Downs, Joseph, Cowley, Hannah P., Wester, Brock, Gray-Roncal, William
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 01.01.2020 BMC
Schlagworte:	Algorithm Analysis and Problem Complexity Big Data Browser Code reuse Computational Biology/Bioinformatics Computer Science Data analysis Data Mining and Knowledge Discovery Data science Data Structures Data Structures and Information Theory Data visualization Graph visualization Scientific visualization Software Substrates Visualization WebGL WebGL Visualization JavaScript Data science Big data Graph visualization Jupyter Browser Python
ISSN:	2058-6345, 2058-6345
Online-Zugang:	Volltext
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