HCAug 11, 2016

Interactive Exploration of the Employment Situation Report: From Fixed Tables to Dynamic Discovery

arXiv:1608.03569v1
Originality Synthesis-oriented
AI Analysis

This work addresses the need for more engaging and accessible economic data for economists, journalists, politicians, and the public, though it is incremental as it builds on existing interactive visualization methods.

The paper tackles the problem of outdated access to the Bureau of Labor Statistics Employment Situation Report by proposing interactive visual analysis techniques, resulting in prototypes that enable dynamic discovery and rapid data interpretation.

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report has broad impact on public and corporate economic confidence; however, the online access to this data employs outdated techniques, using a PDF format containing solely text and fixed tabular information.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 inspirational prototypes: a dashboard of interactive visualizations and an interactive time series explorer, allowing for temporal and spatial analyses and enabling users to combine data sets to create their own customized visualization.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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