pareto 2.1.1

Pareto Principle (80/20 rule) analysis CLI - convenience wrapper for lawkit pareto
pareto-2.1.1 is not a library.

pareto - Pareto Principle (80/20 Rule) Analysis

A convenience command for Pareto Principle analysis, part of the lawkit statistical analysis toolkit.

Quick Start

# Install both pareto and lawkit
cargo install lawkit pareto

# Basic 80/20 analysis
echo "100 50 30 20 10 5 3 2 1" | pareto

# Business analysis
pareto sales-data.csv --business-analysis

# Advanced analysis (requires lawkit)
lawkit pareto revenue.xlsx --gini-coefficient --percentiles 70,80,90,95

What is the Pareto Principle?

The Pareto Principle (80/20 rule) states that roughly 80% of effects come from 20% of causes. This pattern appears in:

  • Business: 80% of revenue from 20% of customers
  • Quality Control: 80% of problems from 20% of defects
  • Economics: 80% of wealth held by 20% of population
  • Productivity: 80% of results from 20% of effort

Features

  • Gini Coefficient: Measure inequality and concentration
  • Custom Percentiles: Analyze any ratio (70/30, 90/10, etc.)
  • Business Insights: Automated recommendations for resource allocation
  • International Support: Japanese (１２３), Chinese (一二三), Arabic (١٢٣) numbers
  • Multiple Formats: CSV, JSON, YAML, Excel, PDF, Word documents

Usage Examples

# Identify top revenue drivers
pareto customer-revenue.csv --business-analysis

# Quality control analysis
pareto defect-counts.csv --gini-coefficient

# Custom concentration analysis
pareto wealth-distribution.csv --percentiles 80,90,95,99

# Resource allocation planning
lawkit pareto project-efforts.xlsx --verbose --format json

Full Statistical Toolkit

This pareto command is a convenience wrapper for lawkit pareto. For complete statistical analysis capabilities, use lawkit:

Available Statistical Laws

  • Benford Law: lawkit benf - Fraud detection and anomaly analysis
  • Pareto Principle: lawkit pareto - 80/20 rule and concentration measurement
  • Zipf Law: lawkit zipf - Power-law distribution analysis
  • Normal Distribution: lawkit normal - Normality testing and outlier detection
  • Poisson Distribution: lawkit poisson - Rare event analysis

Advanced Features

  • Multi-law comparison: lawkit compare data.csv
  • Data generation: lawkit generate pareto --samples 1000 --concentration 0.8
  • Performance optimization: --optimize flag for large datasets
  • Comprehensive reporting: Multiple output formats with detailed statistics

Business Intelligence Applications

# Customer Revenue Analysis
pareto customer-sales.csv --business-analysis
# Output: "Focus on top 23% customers generating 80% revenue"

# Product Performance Review
pareto product-profits.csv --gini-coefficient
# Output: Gini = 0.65 (high concentration, few star products)

# Resource Allocation Planning
pareto task-impacts.csv --percentiles 70,80,90
# Output: Top 20% tasks deliver 78% of value

# Inventory Optimization
lawkit pareto inventory-turnover.xlsx --verbose --optimize
# Comprehensive analysis for warehouse management

Installation

# Install the full toolkit (recommended)
cargo install lawkit

# Or install just this convenience command
cargo install pareto

# Or download binaries
# https://github.com/kako-jun/lawkit/releases

Output Interpretation

  • Concentration Ratio: How much the top 20% contributes to the total
  • Gini Coefficient: 0 = perfect equality, 1 = maximum inequality
  • Business Recommendations: Automated insights for decision making
  • Risk Assessment: Identifies over-dependence on few elements

Documentation

License

MIT License - see LICENSE for details.

💡 Tip: For comprehensive business intelligence with multiple statistical laws and advanced analytics, use the full lawkit command instead of individual law commands.