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Authors often add text annotations to charts to provide additional contextfor visually prominent features such as peaks, valleys, and trends. However,writing annotations that provide contextual information, such as descriptionsof temporal events, often requires considerable manual effort. To address thisproblem, we introduce Almanac, a JavaScript API that recommends annotationssourced from the New York Times Archive of news headlines. Almanac consists oftwo independent parts: (1) a prominence feature detector and (2) a contextualannotation recommender. We demonstrate the utility of the API using D3.js andVega-Lite to annotate a variety of time-series charts covering many differentdata domains. Preliminary user feedback shows that Almanac is useful to supportthe authoring of charts with more descriptive annotations.

Almanac: An API for Recommending Text Annotations For Time-Series Charts Using News Headlines