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Data Interview Question

Marriage Data Anomaly

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Requirements Clarification & Assessment

  1. Understanding the Dataset:

    • Identify the primary source of the dataset (e.g., backend database, external data source).
    • Determine the table structure and any relevant metadata, such as column descriptions and data types.
    • Clarify the intended use of the 'marriage' attribute and its expected values.
  2. Data Collection Process:

    • Investigate how data is collected for the 'marriage' attribute. Is it user-reported, derived, or imported from another system?
    • Assess any data entry processes or ETL pipelines that might affect this attribute.
  3. Historical Context:

    • Determine if the anomaly is recent or if it has persisted over time.
    • Identify any changes in data collection or processing methods that might have coincided with the onset of the anomaly.
  4. Demographic and Contextual Factors:

    • Consider demographic factors such as age, location, and cultural norms that might influence marriage rates.
    • Assess if the dataset is a subset or filtered view that could explain the anomaly.