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1. Introduction Modern interactive time-series explorers make it easy for both novice and expert users to produce a factual, persuasive chart in seconds, before captioning it and sending it off over text or social media. Public health-related data exploration platforms, such as the Our World in Data COVID-19 Explorer [Our20] and the Johns Hopkins dashboards [Joh20], offer powerful controls for date windows, smoothing, and metric selection to inform users' health decisions.
1. Introduction Multivariate networks (MVNs) [KPW14] arise across domains such as transportation logistics, neuroscience, or social networks, where edges often carry multiple quantitative descriptors [KKGB10, BHRD*15, RCF21]. Including edge attributes in an analysis of a network provides critical context and enables meaningful analysis of complex relationships [KAB*14].
1. Introduction Computational notebooks allow for narrative data analysis combining code, data visualizations, text, figures, etc., in the spirit of literate programming [Knu84] proposed by Knuth. Data visualizations in computational notebooks are treated as outputs, similar to text or data tables. As notebooks are code-based, they are (conceptually) reproducible and reusable [KRP*16].
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