Data storytelling combines data, visualizations and context into a clear explanation that helps the audience understand what the results mean.
Data storytelling
Data storytelling is a way of communicating analytical findings that combines data, visualizations and context into a clear message. It is not just about presenting charts, but about explaining what the results mean, why they matter and what decision or next step follows from them.
Good data storytelling starts with a clear question and relevant evidence. Visualization highlights the key finding, context explains its significance and the conclusion names the consequences or the recommended course of action. The structure should match the needs of the audience and their knowledge of the topic.
It is a good idea to select only important information, state scales and periods, distinguish facts from interpretations and not exaggerate conclusions. Data storytelling must not distort data or hide uncertainty.
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