Title:	EXPLORING CORRELATION USING CIRCLE WAVES
Author(s):	Dhruv Ishpuniani
ISBN:	978-989-8704-21-4
Editors:	Yingcai Xiao, Ajith P. Abraham and Jörg Roth
Year:	2020
Edition:	Single
Keywords:	Correlation, Exploratory Data Analysis, Multivariate Data, Circle Waves
Type:	Short
First Page:	243
Last Page:	246
Language:	English
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Paper Abstract:	Correlation is widely used in data analytics applications to measure association between various variables. The common approaches to visualize multivariate correlation are clustered heatmaps and scatterplot matrices, however, they do not scale well when the number of variables is large. This paper presents a new animated, aesthetically pleasing alternative to the aforementioned approaches which also reduces the information overload experienced by the viewer. The proposed technique is applicable to scenarios where the analysis requires multiple target variables to be investigated and a high-level intuition about the correlation magnitude is enough.
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