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

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