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Exercise
Compute rolling latency stats for model routes
Implement this task with explicit validation, predictable output shape, and enough error handling that it could survive reuse in a real AI workflow.
Data Transformation / medium / Step 6 of 16
Practice stage
Transform and summarize data safely
Hint
Think like an evaluation or trace pipeline: group clearly, preserve the data story, and make edge cases visible instead of clever.
Success criteria
- - Handles missing or noisy records predictably
- - Produces summary output that is easy to inspect
- - Would be safe to rerun in a script workflow
Review checklist
- - Do grouped metrics stay readable?
- - Would malformed rows be debuggable?
- - Did I choose names that explain the transformation?
Practice
Generate a variation
Generate a new exercise variation to deepen understanding or practice a related concept.
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