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Always get consent.       Avoid making
                              Respect privacy if    assumptions about     Employ empowered
                              the individual says    the experiences of         writing
                                    ' O'                  others.





                                               Avoid                 Avoid
                                          Over-Dramatization      Stereotypes





                Creating a Story from Data


        Data storytelling is a structured approach for presenting insights obtained from data. It has three key elements: data,
        visuals, and narrative.
            Data: The foundation of a data story is the data that has been accurately collected and analysed. Data analysis tools
            can be used to collect data from various sources.
            Narrative: Effectively communicating insights from the data requires the use of a verbal or written plot known as
            the narrative. The narrative should explain the material in its proper context and attempt to provide an convincing
            e planation for any actions or decisions that are taken. Data based narratives should clearly e plain the significance
            of the data and what it represents.
            Visuals: Visualizations are used to enhance narrative and data representations in order to make the story more
            understandable. Diagrams, graphs, charts, and images can serve as visualizations.
        When  we  talk  about  data  storytelling, we  are  referring  to  stories in which  data  is the  focal  element.  The  story  is
        intended to explain the statistics and why it is important. Presenting the data in a
        disconnected succession of charts and graphs may cause the audience to struggle
        to understand it—or, worse, come to the wrong conclusions entirely.

        As a result, the significance of a narrative stems from the fact that it explains
        what is happening within the data set. It provides context and meaning, as well as
        relevance and clarity. A narrative directs the audience's attention and keeps them
        engaged by showing them where to look and what not to miss.

        Finally, when narrative and visuals  are combined, they  enlighten an audience.
        When the right visuals and narrative are combined with the right data, you have a
        data story that can motivate and in uence change.

         ood stories do not arise from data alone  they must be uncovered through data relationships. A closer look reveals ho
        each data point links to the other. The following are some simple steps that can help you create engaging data stories:

        1.  Include relevant context
        2.  Include authentic data
        3.  Add in compelling visuals
         .    amine the relationships in the data pinpoint the significant data
         .   se a simple narrative surrounded by con ict.
            No matter how great an analysis or how high-quality the data is, unless the people involved understand what is
            communicated through a story, it will not compel change.
            Stories that combine statistics and analytics are more persuasive than ones that are only based on anecdotes or
            personal experiences.

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