# Data Analyzer

The following content contains execution instructions from the Skill package.

- Package: test-skills
- Version: 0.0.3
- Install: oo skills install test-skills
- Source: https://wanta.ai/en/skills/test-skills/data-analyzer/

---
name: data-analyzer
title: Data Analyzer
description: Analyzes datasets and generates statistical summaries with visualizations using pandas and matplotlib
---

# Data Analyzer Skill

This skill helps analyze datasets and generate comprehensive statistical reports.

## Capabilities

- Load data from CSV, JSON, or Excel files
- Generate descriptive statistics (mean, median, std, quartiles)
- Create visualizations (histograms, scatter plots, box plots)
- Identify missing values and data quality issues
- Export analysis results

## When to Use

Use this skill when the user asks to:
- Analyze a dataset
- Generate statistical summaries
- Create data visualizations
- Check data quality
- Explore data distributions

## Example Usage

```python
import pandas as pd
import matplotlib.pyplot as plt

# Load data
df = pd.read_csv('data.csv')

# Generate summary statistics
summary = df.describe()

# Create visualization
df.hist(figsize=(12, 8))
plt.tight_layout()
plt.savefig('distribution.png')

# Check for missing values
missing = df.isnull().sum()
```

## Dependencies

- pandas>=2.0.0
- matplotlib>=3.7.0
- numpy>=1.24.0