# Data Analysis Testing Data Analysis Code

> Sub-skill of data-analysis: Testing Data Analysis Code.

- Skill: `vamseeachanta/data-analysis-testing-data-analysis-code` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/data-analysis-testing-data-analysis-code`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/data-analysis-testing-data-analysis-code/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/data-analysis-testing-data-analysis-code

---


# Testing Data Analysis Code

## Testing Data Analysis Code


```python
import pytest
import polars as pl

def test_aggregation_logic():
    """Test aggregation produces expected results."""
    test_data = pl.DataFrame({
        "category": ["A", "A", "B"],
        "value": [100, 200, 150]
    })

    result = aggregate_by_category(test_data)

    assert result.filter(pl.col("category") == "A")["total"][0] == 300
    assert result.filter(pl.col("category") == "B")["total"][0] == 150

def test_dashboard_callback():
    """Test dashboard callback returns valid figures."""
    from dash.testing.composite import DashComposite

    # Test callback outputs are valid plotly figures
    main, pie, bar = update_charts("revenue")

    assert main.data is not None
    assert pie.data is not None

*See sub-skills for full details.*