Calliope: Automatic Visual Data Story Generation from a Spreadsheet

Shi, Dongyang; Xu, Xinyue; Sun, Fuling; Shi, Yang; Cao, Nan

doi:10.1109/tvcg.2020.3030403

Cited by 96 publications

(72 citation statements)

References 52 publications

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“…Overall, these findings confirmed the importance of data storytelling as means to facilitate the understanding and memorization of the information [Shi et al, 2020].…”

Section: Discussionsupporting

confidence: 68%

Data-driven Storytelling to Support Decision Making in Crisis Settings: A Case Study

Airaldi¹,

Díaz-Pace²,

Irrazábal³

2021

jucs

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Data-driven storytelling helps to communicate facts, easing comprehension and decision making, particularly in crisis settings such as the current COVID-19 pandemic. Several studies have reported on general practices and guidelines to follow in order to create effective narrative visualizations. However, research regarding the benefits of implementing those practices and guidelines in software development is limited. In this article, we present a case study that explores the benefits of including data visualization best practices in the development of a software system for the current health crisis. We performed a quantitative and qualitative analysis of sixteen graphs required by the system to monitor patients' isolation and circulation permits in quarantine due to the COVID-19 pandemic. The results showed that the use of storytelling techniques in data visualization contributed to an improved decision-making process in terms of increasing information comprehension and memorability by the system stakeholders.

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“…Overall, these findings confirmed the importance of data storytelling as means to facilitate the understanding and memorization of the information [Shi et al, 2020].…”

Section: Discussionsupporting

confidence: 68%

Data-driven Storytelling to Support Decision Making in Crisis Settings: A Case Study

Airaldi¹,

Díaz-Pace²,

Irrazábal³

2021

jucs

View full text Add to dashboard Cite

show abstract

“…Automatic visualization approaches can be extended beyond single visualizations to more narrative forms of information dissemination. Shi et al [32] presented Calliope, a system for automatically generating visual data stories from a spreadsheet. Their system progressively generates story points using a Monte-Carlo tree search algorithm, then assembles these into a single data story.…”

Section: Related Work 21 Automatic Visualizationmentioning

confidence: 99%

Propagating Visual Designs to Numerous Plots and Dashboards

Khan

Nguyêñ

Abdul‐Rahman

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. Our novel propagation workflow makes it easy to propagate visual designs to numerous datasets. Reference visualizations are created for data streams, which are associated with several keywords in our ontology. A search and activate process is used to propagate the reference visualisation to other appropriate data streams. (1) Ontology keywords are used to construct a query in our search UI for suitable data stream combinations. (2) Search results consist of ranked data stream combinations that match query parameters, although some results may not be suitable for propagation. (3) A quality assurance step carried out by an expert ensures the visual design is only propagated to suitable data, resulting in new visualizations that are immediately deployed as web pages.

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“…Natural language description generation for Visualization (NLG4Vis) [143], [178] and Visual Question Answering (VQA) [111], [157] complement visual data analysis with natural language as output. Annotation [192], [215] and Narrative Storytelling [244] present fascinating visualizations by combining textual and visual elements.…”

Section: Scope Of the Surveymentioning

confidence: 99%

“…Similarly, Click2Annotate [34] and Touch2Annotate [35] are both semiautomatically annotations generators. To be interactive, Calliope [215] and ChartAccent [192] support creating stories via interactive annotation generation and placement. Most recently, ADVISor [142] can generate visualizations with annotations to answer the user's NL questions on tabular data.…”

Section: Annotationmentioning

confidence: 99%

Towards Natural Language Interfaces for Data Visualization: A Survey

Shen,

Luo

et al. 2021

Preprint

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Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary input modality to direct manipulation for visual analytics can provide an engaging user experience. It enables users to focus on their tasks rather than worrying about operating the interface to visualization tools. In the past two decades, leveraging advanced natural language processing technologies, numerous V-NLI systems have been developed both within academic research and commercial software, especially in recent years. In this article, we conduct a comprehensive review of the existing V-NLIs. In order to classify each paper, we develop categorical dimensions based on a classic information visualization pipeline with the extension of a V-NLI layer. The following seven stages are used: query understanding, data transformation, visual mapping, view transformation, human interaction, context management, and presentation. Finally, we also shed light on several promising directions for future work in the community.

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Calliope: Automatic Visual Data Story Generation from a Spreadsheet

Cited by 96 publications

References 52 publications

Data-driven Storytelling to Support Decision Making in Crisis Settings: A Case Study

Data-driven Storytelling to Support Decision Making in Crisis Settings: A Case Study

Propagating Visual Designs to Numerous Plots and Dashboards

Towards Natural Language Interfaces for Data Visualization: A Survey

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