Why should stories be based off a static dataset?

Stories based on a static dataset ensure that the narrative presented remains consistent and reliable, even if the source data is later altered or becomes unavailable. This stability is crucial in maintaining context and coherence in analytical storytelling. A static dataset allows for the analysis to be complete and finalized, which helps in preserving the original insights and conclusions drawn from the data at a specific point in time.

Using static datasets mitigates the risks associated with data fluctuations, ensuring that any interpretations made in the story reflect the exact state of the data when it was analyzed. This is particularly important in instances where decisions must be made based on the insights derived from the data story, as it safeguards against unexpected changes that could lead to misunderstandings or inaccurate conclusions.

In contrast, the other options suggest benefits that do not align with the integrity and reliability provided by static datasets, such as the need for real-time updates, simplifying data edits, or allowing multiple users to edit simultaneously, which can compromise the consistency of the analytical narrative.