Profiling of 'household size' on housing applications shows multimodal spikes at 0 and 99. How should the DQ analyst interpret that signal?
Select an answer to reveal the explanation.
Short Explanation
Spikes at 0 and 99 in household size are like speedometers stuck on 'park' and 'max'—often codes, not real homes. Profiling patterns like that usually flag sentinel or default values. Confirm the business meaning before trusting the numbers.
Full Explanation
Profiling surfaces distributional anomalies that warrant investigation rather than automatic acceptance. Extreme spikes at values commonly used as unknowns or defaults often indicate sentinel coding. Analysts should confirm business definitions and capture behavior before treating those peaks as genuine household sizes. Misreading sentinels as facts corrupts downstream analysis.