abilashraghuram/data-analysis
cintegrity/examples/data_analyst/.cintegrity/skills/data-analysis/SKILL.md
Analyze datasets using pandas, generate reports, and create visualizations
data-ai
Updated Mar 27, 2026
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SKILL.md
- name:
- data-analysis
- description:
- Analyze datasets using pandas, generate reports, and create visualizations
- version:
- 1.0.0
- author:
- cintegrity
Data Analysis Skill
Expert guidance for analyzing datasets, generating insights, and creating reports.
Analysis Approach
When analyzing data, follow this systematic approach:
- Understand the question - What specific insight is needed?
- Load and inspect - Get the data, check columns, row counts, data types
- Aggregate and query - Group, sum, filter to answer the question
- Format results - Present findings clearly with context
- Save deliverables - Output reports in the requested format
Common Analysis Patterns
Revenue/Sales Analysis
- Group by region, product, time period
- Calculate totals, averages, percentages
- Compare across dimensions
Data Quality Checks
- Count missing values per column
- Identify outliers (values > 3 std from mean)
- Check for duplicates
Time Series
- Group by date/month/quarter
- Calculate period-over-period changes
- Identify trends and seasonality
Report Structure
A good analysis report includes:
# [Title]
## Summary
- Key finding 1
- Key finding 2
## Details
[Breakdown by dimension with numbers]
## Methodology
[Brief description of approach]
Workflow Templates
See scripts/analyze_csv.py for a reusable workflow pattern.
See references/examples.md for common query patterns.
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