Transforming Data Discovery Through Behavior Modeling and Recommendation - Google Analytics Trace Data

Principal Investigator(s):  View help for Principal Investigator(s) Libby Hemphill, University of Michigan; Sara Lafia, National Opinion Research Center; A.J. Million

Version:  View help for Version V1

Name File Type Size Last Modified
README.md text/x-web-markdown 113 bytes 05/19/2023 08:04:AM
google-analytics-20120901-20160901.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 34 KB 10/29/2024 10:18:AM
icpsr-events-flow-2012-2016.png image/png 35.2 KB 05/19/2023 08:04:AM
icpsr-users-flow-2012-2016.png image/png 68.6 KB 05/19/2023 08:04:AM
user-flow.ipynb text/plain 3.7 MB 05/19/2023 08:04:AM

Project Citation: 

Hemphill, Libby, Lafia, Sara, and Million, A.J. Transforming Data Discovery Through Behavior Modeling and Recommendation - Google Analytics Trace Data. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-10-29. https://doi.org/10.3886/E209981V1

Project Description

Summary:  View help for Summary This dataset contains Google Analytics trace data describing user interactions with the Inter-university Consortium for Political and Social Research (ICPSR) website. 
Funding Sources:  View help for Funding Sources National Science Foundation. Directorate for Social, Behavioral and Economic Sciences (2121789)



Related Publications

This study is un-published. See below for other available versions.

Published Versions

V4 [2024-11-05]

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