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Activity Number: 247
Type: Contributed
Date/Time: Monday, August 1, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Graphics
Abstract #320966 View Presentation
Title: Identifying the Effects of Clear Visualization: Reduced Time to a Deeper Understanding of Data
Author(s): Kathleen Campbell* and Nicolle Clements and Virginia Miori and Corey Jones
Companies: Saint Joseph's University and Saint Joseph's University and Saint Joseph's University and Saint Joseph's University
Keywords: visualization ; randomized block design ; survey analysis
Abstract:

Presentation of data analysis, especially for big data, must rely on graphics to clearly display patterns and provide evidence of relationships within the data. With clear, concise and meaningful graphics, one can gain insight and share information quickly. This study uses a survey data, survey analysis and a randomized block design. The purpose is to ascertain how well participants answer simple questions when looking at two types of graphics: poorly scaled (crowded) representation of data, or clean, clear and concise representation of data. The first factor under study is whether questions are answered correctly for each type of visualization. The second, and underlying, factor is the time spent examining the visual before answering the questions. The graphics include sports and financial data.


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

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