What's In a Name? Data Linkage, Demography and Visual Analytics (English)

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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.

  • Title:
    What's In a Name? Data Linkage, Demography and Visual Analytics
  • Author / Creator:
  • Published in:
  • Publisher:
    The Eurographics Association
  • Year of publication:
    2014
  • Size:
    5 pages
  • ISBN:
  • DOI:
  • Type of media:
    Conference paper
  • Type of material:
    Electronic Resource
  • Language:
    English
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Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

Ribbons: Enabling the Effective Use of HPC Utilization Data for System Support Staff
Sisneros, Robert / Fullop, Joshi / Semeraro, B. David / Bauer, Greg | 2014
Towards more Visual Analytics in Learning Analytics
Ritsos, Panagiotis D. / Roberts, Jonathan C. | 2014
A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data
Alsallakh, Bilal / Bögl, Markus / Gschwandtner, Theresia / Miksch, Silvia / Esmael, Bilal / Arnaout, Arghad / Thonhauser, Gerhard / Zöllner, Philipp | 2014
From Ill-defined Problems to Informed Decisions
Roberts, Jonathan / Keim, Daniel / Hanratty, Timothy / Rowlingson, Robert / Walker, Rick / Hall, Mark / Jackobson, Zack / Lavigne, Valerie / Rooney, Chris / Varga, Margaret | 2014
What's In a Name? Data Linkage, Demography and Visual Analytics
Wang, Feng / Ibarra, Jose / Muhammed, Adnan / Longley, Paul / Maciejewski, Ross | 2014
A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications
Fischer, Fabian / Davey, James / Fuchs, Johannes / Thonnard, Olivier / Kohlhammer, Jörn / Keim, Daniel A. | 2014
Interactively Visualizing Summaries of Rules and Exceptions
Sharma, Geetika / Shroff, Gautam / Pandey, Aditeya / Agarwal, Puneet / Srinivasan, Ashwin | 2014
Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
Agibetov, Asan / Vaquero, Ricardo Manuel Millan / Friese, Karl-Ingo / Patane, Giuseppe / Spagnuolo, Michela / Wolter, Franz-Erich | 2014
Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process
Oliveros, Silvia / Yang, Yang / Jang, Yun / Maule, Ben / Ebert, David | 2014
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces
Shao, Lin / Behrisch, Michael / Schreck, Tobias / Landesberger, Tatiana von / Scherer, Maximilian / Bremm, Sebastian / Keim, Daniel | 2014
Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics
Luboschik, Martin / Röhlig, Martin / Kundt, Günther / Stachs, Oliver / Peschel, Sabine / Zhivov, Andrey / Guthoff, Rudolf F. / Winter, Karsten / Schumann, Heidrun | 2014