Evaluate effective data design with respect to time frame, sampling, and granularity.
Free SOA Exam PA (Predictive Analytics) lesson in Data Exploration and Visualization. 12 min read, ~1,817 words.
Time frame trades data volume against representativeness: older rows add sample size but may reflect conditions that no longer hold. Random sampling gives every row an equal chance; stratified sampling forces proportional representation within defined subgroups. Systematic sampling takes every k-th row; it fails if the ordering has a hidden...
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What this lesson covers
- Content
- Example 1
- Example 2
- Common Mistakes
- Check Your Understanding
- Exam Shortcuts
Learning objectives
- 2c
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