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Best Practices for Data Storytelling


            You can follow these guidelines given by experts:
            •  Always label your axes and give your plot a title.
            •  When legends are required, use them.
            •  Colours that are lighter on the eye and in proportion should be used.

            •   Avoid adding super uous details to your visualisation, such as backdrops or themes that make it difficult to read.
            •  Only a point can encode two quantitative values based on a horizontal and vertical location at the same time.
            •  When encoding time series, never use points for visualisation.
            Having a story to tell is the single most critical thing you can do to substantially enhance your metrics.
             ollo  Aristotle's standard five point plan for making a big effect

             .   ell a narrative or make a statement that a akens the audience's curiosity.
               (Example: “Unfortunately, by the time you read this, 1 Indian infant would be near death due to polluted air.” Source:
               State of Global Air 2020 report released October 21, 2020.)

            2.  Make a problem or ask a query that needs to be solved or answered.
               (Example: The last four generations of adults have given our children the misfortune of living shorter lives than the
               previous generations.)

            3.  Provide a remedy to the issue you raised.
               (Example: We have got to upgrade to e-vehicles. Period!)

             .  Describe the specific advantages of follo ing the course of action outlined in your ans er.
               (Example: We will save the lives of nearly 90,000 kids!)
            5.  Make a strong call for action.

               (Example: I wish for everyone to help create a strong, sustainable movement to educate every person to switch to
               e vehicles and empo er people every here to fight climate change.)






                      At a Glance


                  •  Stories offer immersive experiences that transfer the listener to another place and time.
                  •  Data storytelling is a means of delivering facts  ith a compelling narrative to a specific audience.
                  •  Data storytelling uses a structured approach to delivering data insights that always includes a combination
                   of three main elements: data, graphics, and narrative.
                  •  When the proper graphics and narrative are combined with the correct data, you have a data story that has
                   the potential to impact and drive change.
                  •  A narrative directs the audience's attention and keeps them engaged by sho ing them  here to look and
                   what not to miss.
                  •  Data storytelling can help to bridge the gap between the technical world of AI and everyday life.







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