EDA Findings Summary: [Dataset Name]
Date: [YYYY-MM-DD]
Analyst: [Name]
Full report: assets/eda_report_template.md
Dataset at a Glance
[Dataset name] contains [N] rows representing [grain — e.g. "one row per user session"]. The analysis covers [date range]. Overall data quality is [Good / Acceptable / Poor — one sentence why].
Top Quality Issues
List the 3–5 most significant findings in priority order. Each should answer: what is the issue, how bad is it, and what should happen next.
Issue 1: [Short title]
- What: [Specific column or pattern — e.g. "
revenuehas 12% nulls"] - Impact: [How this affects downstream analysis or business decisions]
- Recommended action: [Fix in pipeline / impute / exclude column / accept risk]
- Owner: [Data engineering / Analyst / Business stakeholder]
Issue 2: [Short title]
- What:
- Impact:
- Recommended action:
- Owner:
Issue 3: [Short title]
- What:
- Impact:
- Recommended action:
- Owner:
What Looks Good
- [Column X is 100% complete and within expected range.]
- [No full-row duplicates detected.]
- [Date coverage is continuous from [start] to [end] with no gaps.]
Next Step
[ ] Data is ready for analysis — proceed to [next skill / analysis type]
[ ] Data fix required before proceeding — ticket created: [link]
[ ] Further investigation needed: [specific question]