majiayu000/claude-arsenal
xiaohongshu
xiaohongshu
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Analytics Design
analytics-design
Design data analysis from purpose clarification to visualization. Use when analyzing data, exploring BigQuery schemas, building queries, or creating Looker Studio reports.
SKILL.md
Full skill instructions
Analytics Design
Rules: Follow document-writing and text-formatting-ja for Japanese documents.
Workflow
Use references/analytics-design-template.md to document every analysis.
-
Clarify Purpose: What do you want to know? Why is this analysis needed? Who will use it? One-time or ongoing monitoring?
-
Discover Data: Explore available datasets and understand schema.
- Ask user for project/dataset context and business background
- Use
/bq-queryskill for BigQuery schema exploration db/schema.rbfor Rails projects- API docs or sample data for external services
- Document schema and table relationships in the report
-
Build Query: Use
/bq-queryskill to design and execute queries.- Requirements and schema from Steps 1-2 provide context
- Interpret results and document findings
-
Create Dashboard (if ongoing monitoring needed):
- Use references/looker-studio-template.md to design
- Define decisions: What actions will users take based on this dashboard?
- Check existing resources: Similar dashboards or queries already exist?
- Align time granularity with usage frequency (daily/weekly/monthly)
- Design data sources, pages, and charts
Looker Studio Best Practices
Reference Documentation
- Data types: Field data types (Number, Text, Date & Time, Currency, Percent, etc.)
- Types of charts: Chart types (Time series, Combo chart, Table, etc.)
- Parameters: Data source parameters
Settings Documentation
- Verify setting names against actual Looker Studio UI before documenting
- Use exact terminology from the UI
Data Source Design
- One data source per analytical purpose
- Pre-aggregate in SQL for performance
- Include bucket fields for distribution analysis
- Include sort-order fields for proper chart ordering
- Descriptive data source names
Report Structure
- Separate pages by time granularity (daily/monthly)
- Group related metrics per page
- Consistent filter scopes within pages
Chart Type Selection
| Purpose | Chart Type |
|---|---|
| KPI current value | Scorecard |
| Time series trend | Time series chart |
| Category breakdown over time | Stacked area / Stacked bar |
| Category comparison | Bar chart |
| Composition | Pie chart |
| Detailed data | Table |
| Distribution (percentile) | Time series (multiple metrics) |
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