Extending understanding of federal statistics in tables

Authors:
Gary Marchionini;Carol Hert;Liz Liddy;Ben Shneiderman
Affiliations:
University of North Carolina at Chapel Hill;Syracuse University;Syracuse University;University of Maryland
Venue:
dg.o '00 Proceedings of the 2000 annual national conference on Digital government research
Year:
2000

Citing 9
Cited 0

The visual display of quantitative information

The visual display of quantitative information
Designing the user interface (2nd ed.): strategies for effective human-computer interaction

Designing the user interface (2nd ed.): strategies for effective human-computer interaction
The table lens: merging graphical and symbolic representations in an interactive focus + context visualization for tabular information

CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DEVise: integrated querying and visual exploration of large datasets

SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Visual revelations: graphical tales of fate and deception from Napoleon Bonaparte to Ross Perot

Visual revelations: graphical tales of fate and deception from Napoleon Bonaparte to Ross Perot
TINTIN: a system for retrieval in text tables

DL '97 Proceedings of the second ACM international conference on Digital libraries
Interface and data architecture for query preview in networked information systems

ACM Transactions on Information Systems (TOIS)
The grammar of graphics

The grammar of graphics
Previews and overviews in digital libraries: designing surrogates to support visual information seeking

Journal of the American Society for Information Science - Special topic issue on digital libraries: part 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes progress toward improving user interfaces for US Federal government statistics that are presented in tables. Based on studies of user behaviors and needs related to statistical tables, we describe interfaces to assist diverse users with a range of statistical literacy to explore, find, understand, and use US Federal government statistics.