Abstract Details
|
Activity Number:
|
79
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, August 3, 2014 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Section on Statistical Graphics
|
|
Abstract #311026
|
|
|
Title:
|
Exploring Huge Collections of Scatterplots
|
|
Author(s):
|
Leland Wilkinson*+ and Tuan Dang
|
|
Companies:
|
Skytree and University of Illinois at Chicago
|
|
Keywords:
|
scagnostics ;
scatterplots ;
EDA
|
|
Abstract:
|
We introduce a method and an application for interactive exploration of a huge corpus of scatterplots. The method is based on scagnostics - nine characterizations of the 2D distributions of orthogonal pairwise projections on a set of points in multidimensional Euclidean space. These characterizations include measures such as, density, skewness, shape, outliers, and texture. Working directly with these measures, we can locate anomalies for further analysis or search for similar distributions in a giant scatterplot matrix. We also present an extension of this technique that can be applied to huge collections of images.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.