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Abstract Details

Activity Number: 194
Type: Contributed
Date/Time: Monday, July 30, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Marketing
Abstract - #306813
Title: Visualization Methods for the Analysis of Time Series of Television Audiences: A Case Study
Author(s): Mario Andres Morales*+ and Krishna Balasubramanian and Jack Smith and Jeffrey Storan and Yuliya Torosjan
Companies: Simulmedia Inc./Stanford University and Simulmedia Inc. and Simulmedia Inc. and Simulmedia Inc. and Simulmedia Inc.
Address: 670 Broadway, 2nd Floor, New York, NY, 10012, United States
Keywords: geo experiments ; television viewing ; time series ; exploratory data analysis ; simulmedia ; marketing measurement
Abstract:

Time series were used to conduct exploratory data analysis of anonymous television viewer behavior during the first seven episodes of the 10th season of American Idol [Jan 19 2011 to Feb 9th 2011]. A variety of visualization and graphical representation methods for this data will be compared to illustrate the observations from this analysis.


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