12.1 Exploration is not the final story

Exploration is broad, repetitive, and uncertain by design. Analysts examine many variables, test several explanations, revise definitions, and abandon unhelpful directions. Explanatory communication is selective. It presents the evidence the audience needs in an order that makes the conclusion understandable and trustworthy.

The final story should not recreate the chronology of analysis. “First we made a histogram, then we ran a correlation, then we tried a random forest” describes the analyst’s activity. It does not explain what the organization learned.

The Statistics Canada data-story framework identifies data, narrative, and visualization as connected components and emphasizes audience, planning, simplicity, and careful editing (Statistics Canada 2021). These ideas apply equally to written reports, presentations, dashboards, and short decision briefings.

References

Statistics Canada. 2021. “Telling the Data Story: How to Create Stories That Matter.” https://www.statcan.gc.ca/en/wtc/data-literacy/catalogue/892000062021005.