Visualization and analysis of co-occurrence and cross-tabulation data in medical research.
Analyzing raw data can be prohibitively time consuming. A variety of graphical techniques have been developed to address this problem. Although graphical analysis can provide a simple yet comprehensive overview of a large dataset, often these techniques fail to capture the essence of data trends. In addition, the ability to easily query any component of the data subset frequently remains burdensome. In this paper, we present a general method to address these issues for cross-tabulation tables and provide examples of their use in medical research.
Bormel
J I
JI
UCLA Center for Health Sciences.
Ferguson
L R
LR
D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D008722:Methods; D011381:Programming Languages; D012106:Research / Q000706:statistics & numerical data; D012984:Software; D012985:Software Design; D014584:User-Computer Interface