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Activity Number: 333 - Topics in Reliability, Data Visualization and Modeling
Type: Contributed
Date/Time: Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
Sponsor: Quality and Productivity Section
Abstract #313262
Title: Visualization of Interval Data
Author(s): Muzi Zhang* and Dennis K.J. Lin
Companies: and The Pennsylvania State University, University Park
Keywords: Cross Plot; Segment Plot; Dandelion Plot; Exploratory Data Analysis; Rectangle Plot
Abstract:

Interval data are widely used in many fields, notably economics, industry. Similarly to the scatter plot for single-value data, the rectangle plot and cross plot are the conventional visualization methods for the relationship between two variables in interval forms. These methods do not provide much information to assess the complicated relationship, however. In this paper, we propose two visualization methods: Segment and Dandelion Plots. They offer much more information than the existing visualization methods and allow us to have a much better understanding of the relationship between two variables in interval forms. A general guideline for reading these plots is provided. Relevant theoretical supports are developed. Both the empirical and real data examples are provided to demonstrate the advantages of the proposed visualization methods.


Authors who are presenting talks have a * after their name.

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