DataTours: A Data Narratives Framework



Visual storytelling is commonly employed to communicate data analyses results. Alternatively, (semi-)automated [1, 2, 6] data narratives or “tours” have been proposed as a means to prompt exploration of massive multidimensional datasets, substituting the more prevalent static overviews. While these works demonstrate specific instances of data tours, a concrete model to describe the building blocks of such tours is lacking. We present a descriptive hierarchical framework, DataTours, to formalize and guide the design of (semi-) automated tours for data exploration and discuss challenges evoked by the framework in the (semi-)automated authoring of such tours.


  • [IMG]
    H. Mehta, A. Chalbi, F. Chevalier, and C. and Collins, “DataTours: A Data Narratives Framework,” , Proc. of IEEE Conf. on Information Visualization (InfoVis), Posters, 2017.
    [Bibtex] [PDF]

    author = {Hrim Mehta and Amira Chalbi and Fanny Chevalier and and Christopher Collins},
    title = {DataTours: A Data Narratives Framework},
    booktitle = {Proc. of IEEE Conf. on Information Visualization (InfoVis), Posters},
    series = {Poster},
    address = {Phoenix, USA},
    year = 2017


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