Title :
Quick Vis: A Web-Based Visualization Delivering Flexible Exploration of User-Driven Analytics
Author :
Alessandro Agnello;Haim Levkowitz
Author_Institution :
Univ. of Massachusetts Lowell, Lowell, MA, USA
fDate :
7/1/2015 12:00:00 AM
Abstract :
Web visualizations have become an integral tool for representing data in an accessible and intelligible format. This paper presents a new workflow, Quick Vis, which enables an analyst to inspect data sets and manipulate properties within any data set. This subsequently engages our analytic engine, saves each property set as a profile (discussed in Section 5), and allows comparisons between profiles for further findings. In addition to describing our proposed techniques, we provide a case study that demonstrates the usefulness of Quick Vis for real life problems.
Keywords :
"Engines","Data visualization","Market research","Temperature","Visualization","Standards","Browsers"
Conference_Titel :
Information Visualisation (iV), 2015 19th International Conference on