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Additionally, the structure of stories provides a framework for organizing information in a coherent and meaningful
        way. Stories have a beginning, middle, and end, allowing us to create mental frameworks for processing and recalling
        information. This narrative structure helps us encode the information into our memory more effectively, making it easier
        to retrieve when needed.
                                                                                             Experiential Learning

                    Video Session

               Scan the QR code or visit the following link to watch the video: How stories shape our minds
               | The science of storytelling | BBC Ideas https://www.youtube.com/watch?v=vyZMSZG2Dmk
               After watching the video, do you agree that stories:
               •  make us more empathetic?





               •  improve our moods?










                Why is Storytelling Important?

        Some of the characteristics that make storytelling powerful are its ability to make knowledge more interesting, present a
        window to view the past, and eventually draw lessons and recreate the future by enacting essential changes. Storytelling
        also  transforms, empowers, and connects people by removing judgment or criticism  and promoting openness  to
        welcoming diversity.

        In the previous class, we have learnt about storytelling.  In this unit, we will learn more about data storytelling.

                Data Storytelling


        A well-told story with  an inspiring narrative will always  engage  the audience  across boundaries  and  cultures since
        they have an impact that statistics alone cannot provide. Data can be convincing, but tales are far more so. They alter
        our interactions with data, shifting it from a dry collection of "facts" to something that can be interesting, engaging,
        thought-provoking, and encouraging change.
        Data storytelling is a means of delivering facts  ith a compelling narrative to a specific audience. It is the final part of
        your data analysis, and perhaps the most critical. As humans, we are evolutionarily hard-wired to exchange stories as a
        means of conveying information.
         ach point in the story contains some information that may be ambiguous or conte tually deficient on its o n. As a
        result, the visualisations of such data are open to interpretation (and misinterpretation). Stories, on the other hand, are
        more likely to elicit action rather than statistics and data. As a result, when conveyed in the form of a narrative, it removes
        ambiguity, integrates facts  ith conte t, and defines a specific interpretation for effectively delivering the crucial points.
        The following are the steps involved in telling an effective data story:
        •   Recognising the audience

        •   Choosing the appropriate data and visualisations



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