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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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