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Data Narrative Crafting via a Comprehensive and Well-Founded Process

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13389))

Abstract

Data narration is the activity of crafting narratives supported by facts extracted from data exploration and analysis, using interactive visualizations. While data narration has recently attracted much attention, the process of crafting data narratives is loosely documented and has not yet been formally described. In this article, we propose a comprehensive and well-founded process to fill this need. It aims at (i) supporting the complete cycle of data narration, from the exploration of data to the visual rendering of the narrative, (ii) being flexible enough to cover a wide range of crafting practices, and (iii) being well founded upon with a conceptual model of the domain.

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Notes

  1. 1.

    We use the term dashboard since it is general enough to accommodate various types of visualizations (e.g. a Business Intelligence dashboard, an infographics, a section in a python notebook, a section in a blog or web page).

  2. 2.

    https://drive.google.com/drive/folders/1zDzP_ndSlQUJCbtFMVzJDnIbyXK1D2_l?usp=sharing (in French). Note that for some questions more than one answer was possible, and that journalists could leave the questions unanswered.

  3. 3.

    Since the question was open, we homogenized the answers and grouped them into few categories.

  4. 4.

    Sponsored by French CNRS https://www.madics.fr/event/titre1617704707-3351/#madona.

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Correspondence to Faten El Outa .

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El Outa, F., Marcel, P., Peralta, V., da Silva, R., Chagnoux, M., Vassiliadis, P. (2022). Data Narrative Crafting via a Comprehensive and Well-Founded Process. In: Chiusano, S., Cerquitelli, T., Wrembel, R. (eds) Advances in Databases and Information Systems. ADBIS 2022. Lecture Notes in Computer Science, vol 13389. Springer, Cham. https://doi.org/10.1007/978-3-031-15740-0_25

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  • DOI: https://doi.org/10.1007/978-3-031-15740-0_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15739-4

  • Online ISBN: 978-3-031-15740-0

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