TY - GEN
T1 - What's in a Name? Data Linkage, Demography and Visual Analytics
AU - Wang, Feng
AU - Ibarra, Jose
AU - Adnan, Muhammad
AU - Longley, Paul
AU - MacIejewski, Ross
N1 - Funding Information:
This work was supported in part by the U.S. Department of Homeland Security’s VACCINE Center under Award Number 2009-ST-061-CI0001 and by the Engineering and Physical Sciences Research Council UK EPSRC grant EP/J005266/1.
Publisher Copyright:
© 2019 International Workshop on Visual Analytics. All rights reserved.
PY - 2014
Y1 - 2014
N2 - This work explores the development of a visual analytics tool for geodemographic exploration in an online environment. We mine 78 million records from the United States public telephone directories, link the location data to demographic data (specifically income) from the United States Census Bureau, and allow users to interactively compare distributions of names with regards to spatial location similarity and income. In order to enable interactive similarity exploration, we explore methods of pre-processing the data as well as on-the-fly lookups. As data becomes larger and more complex, the development of appropriate data storage and analytics solutions has become even more critical when enabling online visualization. We discuss problems faced in implementation, design decisions and directions for future work.
AB - This work explores the development of a visual analytics tool for geodemographic exploration in an online environment. We mine 78 million records from the United States public telephone directories, link the location data to demographic data (specifically income) from the United States Census Bureau, and allow users to interactively compare distributions of names with regards to spatial location similarity and income. In order to enable interactive similarity exploration, we explore methods of pre-processing the data as well as on-the-fly lookups. As data becomes larger and more complex, the development of appropriate data storage and analytics solutions has become even more critical when enabling online visualization. We discuss problems faced in implementation, design decisions and directions for future work.
UR - http://www.scopus.com/inward/record.url?scp=84928785085&partnerID=8YFLogxK
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U2 - 10.2312/eurova.20141143
DO - 10.2312/eurova.20141143
M3 - Conference contribution
AN - SCOPUS:84928785085
T3 - International Workshop on Visual Analytics
SP - 37
EP - 41
BT - 5th International EuroVis Workshop on Visual Analytics, EuroVA 2014 at EuroVis 2014
PB - Eurographics Association
T2 - 5th International EuroVis Workshop on Visual Analytics, EuroVA 2014 at EuroVis 2014
Y2 - 9 June 2014 through 10 June 2014
ER -