SPOT: Open Source Visual Data Analytics Platform for High-Dimensional Scientific Data

2018 ◽  
Author(s):  
F. Diblen ◽  
J.J. Attema ◽  
R. Bakhshi ◽  
B. Stienen ◽  
L. Hendriks ◽  
...  
Keyword(s):  
Open Source ◽  
Data Analytics ◽  
Scientific Data ◽  
High Dimensional ◽  
Visual Data ◽  
Visual Data Analytics

scholarly journals Why high performance visual data analytics is both relevant and difficult

2013 ◽  
Author(s):  
E. Wes Bethel ◽  
Prabhat Prabhat ◽  
Suren Byna ◽  
Oliver Rübel ◽  
K. John Wu ◽  
...  
Keyword(s):  
Data Analytics ◽  
High Performance ◽  
Visual Data ◽  
Visual Data Analytics

Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach

MIS Quarterly ◽  
2020 ◽  
Vol 44 (4) ◽  
pp. 1459-1492
Author(s):  
Donghyuk Shin ◽  
Shu He ◽  
Gene Moo Lee ◽  
Andrew B. Whinston ◽  
Suleyman Cetintas ◽  
...  
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Data Analytics ◽  
Media Analysis ◽  
Learning Approach ◽  
Visual Data ◽  
Social Media Analysis ◽  
Visual Data Analytics

scholarly journals BPG: Seamless, Automated and Interactive Visualization of Scientific Data

2017 ◽  
Author(s):  
Christine P’ng ◽  
Jeffrey Green ◽  
Lauren C. Chong ◽  
Daryl Waggott ◽  
Stephenie D. Prokopec ◽  
...  
Keyword(s):  
Open Source ◽  
Interactive Visualization ◽  
Scientific Data ◽  
High Dimensional ◽  
Seamless Integration ◽  
Web Based ◽  
Link Type ◽  
Interactive Tool ◽  
High Dimensional Datasets ◽  
Publication Quality

AbstractWe introduce BPG, an easy-to-use framework for generating publication-quality, highly-customizable plots in the R statistical environment. This open-source package includes novel methods of displaying high-dimensional datasets and facilitates generation of complex multi-panel figures, making it ideal for complex datasets. A web-based interactive tool allows online figure customization, from which R code can be downloaded for seamless integration with computational pipelines. BPG is available at http://labs.oicr.on.ca/boutros-lab/software/bpg

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