Abstract Number:
1726
Submission Type:
Topic-Contributed Paper Session
Participants:
John Eltinge (1), Wendy Martinez (3), Claire Bowen (2), Emily Molfino (4), Lisa Bramer (5), Randall Powers (6), Joseph Marshall (7), Kate Eckerle (8)
Institutions:
(1) US Census Bureau, N/A, (2) Urban Institute, N/A, (3) US Census, N/A, (4) U.S.Census Bureau, Suitland, MD, (5) Pacific Northwest National Laboratory, N/A, (6) U.S. Bureau of Labor Statistics, N/A, (7) U.S. Census Bureau, Suitland, MD, (8) Bureau of Labor Statistics, N/A
Chair:
Co-Organizer:
Session Organizer:
Speaker(s):
Session Description:
The overall JSM 2024 theme is, "Statistics and Data Science: Informing Policy and Countering Misinformation." Practical work to address that theme can be enhanced through statistical visualization concepts, tools and applications to analyze crucial empirical phenomena; to shed light on important policy issues; and to enhance clear, responsible, and carefully nuanced communication about data that are of importance for those issues. The five papers in this session explore complementary dimensions of these issues.
The first paper ("Effectively Communicating Statistics that Meet Statistical Quality Standards" - Molfino) discusses standards for visualization, with emphasis on utility, objectivity, and integrity of statistical information. It highlights tools, including graphical representations of uncertainty and conditional relationships, to (i) communicate results – and limitations thereof – in ways that are clear and resonate with a wide range of stakeholder groups; and (ii) reduce problems related to blurred, exaggerated or outright misleading interpretations of statistical analyses.
The second paper ("Effective Use of Small Multiples and Interactivity: Moving Beyond Static Summary Plots" - Bramer) discusses new tools and methods essential for multivariate exploratory data analysis, modeling, and visualization by decision-makers and data consumers to investigate large and complex datasets, with emphasis on interpretability and transparency. Demonstrations focus on use of Tufte's small multiples concept, coupled with metrics to aid data exploration, and linked interactive plots; and lead to discussion of practical mechanisms for sharing and disseminating data visualizations generated by these tools.
The third paper ("Using Linked Micromaps for Evidence-Based Policy" - Powers) builds on the work of Carr and Pickle (2010), integrating several visualization design principles, such as small multiples, discrete color indexing, and ordering. Emphasis is placed on exploration of relationships and distributions of statistics linked to US states; and use of linked micromaps for evidence-based decision-making with the Quarterly Census of Employment and Wages, Local Area Unemployment Statistics, and the American Community Survey.
The fourth paper ("Visualizing Community Resilience to Disasters for Small Areas in the United States" - Marshall) describes motivations and design choices for interactive data visualization(s) used with the Census Bureau's Community Resilience Estimates (CRE) of socioeconomic vulnerability to disasters at the county and Census tract levels of geography. The data dissemination strategy must strike a balance between rich, in-depth data and ease of use for a diverse CRE audience that includes public and private sector data users, state and local governments, members of the media, and federal agencies involved in emergency management.
The final paper ("Visualization Tools for Time Series Model Selection" - Eckerle) centers on graphical and analytic approaches to price indices that place quantity information on the same time scale as prices to capture real-time phenomena such as substitutions, and evolving consumer needs/tastes. Principal attention centers on forecasting of the weights needed by the index via a seasonal multivariate time series model of item-area expenditure expenditure shares, and incorporating item-area prices, which are presumed to drive much of substitution behavior.
Sponsors:
Government Statistics Section 2
Section on Statistical Graphics 1
Social Statistics Section 3
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
Yes
Applied
Yes
Estimated Audience Size
Large (150-275)
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I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is nonrefundable.
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