Data Analyzer

Analyze datasets and generate visualizations with statistical insights.

When to Use

• User wants to analyze a dataset
• Generate charts and visualizations
• Statistical analysis and summaries
• Data cleaning and transformation

Features

• Data formats: CSV, Excel, JSON, Parquet
• Statistics: Mean, median, std dev, correlations
• Visualizations: Bar, line, pie, scatter, heatmap
• Reports: Auto-generated analysis reports

Usage

Quick analysis

python3 scripts/analyze.py \
  --input ./data.csv \
  --output ./report/

Generate specific chart

python3 scripts/analyze.py \
  --input ./data.csv \
  --chart bar \
  --x "category" \
  --y "sales" \
  --output ./chart.png

Statistical summary

python3 scripts/analyze.py \
  --input ./data.csv \
  --stats \
  --columns "age,income,score"

Correlation analysis

python3 scripts/analyze.py \
  --input ./data.csv \
  --correlation \
  --output ./correlation_matrix.png

Data transformation

python3 scripts/analyze.py \
  --input ./data.csv \
  --transform "normalize" \
  --columns "price,quantity" \
  --output ./normalized.csv

Output

{
  "success": true,
  "rows": 1000,
  "columns": 10,
  "stats": {
    "mean": {"age": 35.2, "income": 55000},
    "std": {"age": 12.3, "income": 15000}
  },
  "charts": ["./chart1.png", "./chart2.png"],
  "report": "./report.html"
}