Data Analysis

Data analysis methodology and practice notes under "General Tracks": turning business questions into answerable data questions — metrics definition, extraction & cleaning, experiment verification, visualization and conclusion delivery. This page currently registers the five topic pages as placeholders, which will be filled in progressively.

Registered Placeholder Pages

• Analysis Workflow
• SQL & Data Extraction
• Metrics & Instrumentation
• Experiments & Statistics
• Visualization & Reporting

Planned Topics

Topic	Description	Status
Analysis workflow	Problem → metrics → data → conclusions closed loop	Placeholder
SQL & data extraction	Query patterns, performance, consistent definitions	Placeholder
Metrics & instrumentation	Metric trees, north star, event design	Placeholder
Experiments & statistics	A/B design, significance intuition, common biases	Placeholder
Visualization & reporting	Chart selection, dashboards, report structure	Placeholder

Next Steps

• [ ] Complete each placeholder page item by item against the planning checklist
• [ ] Register new pages in the config.mjs sidebar and sync this overview
• [ ] Change the status from "Placeholder" to "Collected" when done

For writing guidelines, please refer to the Writing Guide.