ChartAccent: Annotation for data-driven storytelling

@article{Ren2017ChartAccentAF,
  title={ChartAccent: Annotation for data-driven storytelling},
  author={Donghao Ren and Matthew Brehmer and Bongshin Lee and Tobias H{\"o}llerer and Eun Kyoung Choe},
  journal={2017 IEEE Pacific Visualization Symposium (PacificVis)},
  year={2017},
  pages={230-239}
}
Annotation plays an important role in conveying key points in visual data-driven storytelling; it helps presenters explain and emphasize core messages and specific data. However, the visualization research community has a limited understanding of annotation and its role in data-driven storytelling, and existing charting software provides limited support for creating annotations. In this paper, we characterize a design space of chart annotations, one informed by a survey of 106 annotated charts… CONTINUE READING

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