---
name: data-analysis
description: Analyze datasets and extract insights. Use when exploring data, creating
  reports, or identifying patterns and trends.
metadata:
  source: nuday
  catalog: platform
  category: data
  priority: '25'
---

# Data Analysis

Understand the data before drawing conclusions: its schema, source, time range and
quality (missing values, duplicates, outliers, inconsistent formats). State any
cleaning you do and why, since it changes the results.

Answer the question actually asked, back each claim with numbers, and say how
confident you are: note sample sizes, and don't present correlation as causation. Use
a chart when it shows a pattern more clearly than a table.

Present results as:
1. **Summary**: the key findings in a few sentences
2. **Findings**: each insight with the data behind it
3. **Visualizations**: where they help
4. **Recommendations**: concrete next steps