Interactive Exploration of the Employment Situation Report: From Fixed Tables to Dynamic Discovery
Peter Mancini, Benjamin Bengfort, Ben Shneiderman

TL;DR
This paper introduces interactive visual analysis tools for the U.S. Employment Situation Report, transforming static tables into dynamic, user-driven data exploration to enhance understanding and civic engagement.
Contribution
It presents two prototypes that enable interactive exploration of employment data, improving data accessibility and interpretability compared to traditional static reports.
Findings
Interactive tools facilitate rapid data interpretation
Prototypes support temporal and spatial analysis
Enhanced user engagement with employment data
Abstract
The monthly Bureau of Labor Statistics Employment Situation Report is widely anticipated by economists, journalists, and politicians as it is used to forecast the economic condition of the United States. The report has broad impact on public and corporate economic confidence; however, the online access to this data employs outdated techniques, using a PDF format containing solely text and fixed tabular information. Creating an interactive interface for dynamic discovery on the BLS website could elicit more dialogue between the public and government spheres, drawing more traffic to government websites and triggering greater civic engagement. Our work suggests that the implementation of interactive visual analysis techniques to enable dynamic discovery leads to rapid interpretation of data as well as provides the means to explore the data for further insights. This paper presents two…
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Taxonomy
TopicsData Visualization and Analytics · Data Analysis with R · Species Distribution and Climate Change
