Degree Type

Thesis

Date of Award

2017

Degree Name

Master of Science

Department

Sociology

Major

Sociology

First Advisor

Shawn Dorius

Abstract

In recent years, researchers in the social sciences have re-embraced data visualization as a tool for exploring data and communicating results. This development has focused primarily on quantitative data with continuous variables. In general, there has been little work toward establishing a standard for categorical data. This paper tackles a small, but important, compo- nent of data visualizations for categorical data: data visualization of contingency tables. The purpose of this paper is to review visualization techniques used for categorical data to deter- mine which techniques are appropriate for contingency tables by ensuring the graphics follow the standards that have been established for continuous data.

Copyright Owner

Millicent Alexa Grant

Language

en

File Format

application/pdf

File Size

65 pages

Included in

Sociology Commons

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