Crates.io | pareto |
lib.rs | pareto |
version | 2.1.1 |
created_at | 2025-07-02 16:51:27.529928+00 |
updated_at | 2025-07-09 12:36:52.739952+00 |
description | Pareto Principle (80/20 rule) analysis CLI - convenience wrapper for lawkit pareto |
homepage | https://github.com/kako-jun/lawkit |
repository | https://github.com/kako-jun/lawkit |
max_upload_size | |
id | 1735350 |
size | 9,617 |
A convenience command for Pareto Principle analysis, part of the lawkit statistical analysis toolkit.
# 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
The Pareto Principle (80/20 rule) states that roughly 80% of effects come from 20% of causes. This pattern appears in:
# 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
This pareto
command is a convenience wrapper for lawkit pareto
. For complete statistical analysis capabilities, use lawkit:
lawkit benf
- Fraud detection and anomaly analysislawkit pareto
- 80/20 rule and concentration measurementlawkit zipf
- Power-law distribution analysislawkit normal
- Normality testing and outlier detectionlawkit poisson
- Rare event analysislawkit compare data.csv
lawkit generate pareto --samples 1000 --concentration 0.8
--optimize
flag for large datasets# 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
# 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
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.