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BytesAgain β€Ί Skills β€Ί Data Analyzer
πŸ¦€ ClawHub

Data Analyzer

by @jpengcheng523-netizen

Data analysis and visualization skill. Supports CSV, Excel, JSON data with statistical analysis, charts, and reports.

Versionv1.0.0
Downloads881
#clawhub
TERMINAL
clawhub install jpeng-data-analyzer

πŸ“– About This Skill

name: jpeng-data-analyzer description: "Data analysis and visualization skill. Supports CSV, Excel, JSON data with statistical analysis, charts, and reports." version: "1.0.0" author: "jpeng" tags: ["data", "analysis", "visualization", "statistics", "charts"]

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"
}

    ⚑ When to Use

    TriggerAction
    - Generate charts and visualizations
    - Statistical analysis and summaries
    - Data cleaning and transformation

    πŸ’‘ Examples

    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