# IFVI Global Value Factors Dataset - Decimal Place Analysis

**Analysis Date:** 2025-08-21  
**Total Values Analyzed:** 104,564  
**Files Analyzed:** 5

## Overall Decimal Place Distribution

| Decimal Places | Count | Percentage |
|----------------|-------|------------|
| 0 (Integers) | 10,062 | 9.62% |
| 1 | 2,055 | 1.97% |
| 2 | 18,698 | 17.88% |
| 3 | 6,260 | 5.99% |
| 4 | 67,489 | 64.54% |

## Per-File Breakdown

| File | Total Values | 0 Decimal | 1 Decimal | 2 Decimal | 3 Decimal | 4 Decimal |
|------|-------------|-----------|-----------|-----------|-----------|-----------|
| air-pollution.json | 7,772 | 67 (0.86%) | 750 (9.65%) | 6,955 (89.49%) | - | - |
| land-use.json | 7,848 | 139 (1.77%) | 792 (10.09%) | 6,917 (88.14%) | - | - |
| waste.json | 5,232 | 939 (17.95%) | 425 (8.12%) | 3,868 (73.93%) | - | - |
| water-consumption.json | 872 | 317 (36.35%) | 44 (5.05%) | 511 (58.60%) | - | - |
| water-pollution.json | 82,840 | 8,600 (10.38%) | 44 (0.05%) | 447 (0.54%) | 6,260 (7.56%) | 67,489 (81.47%) |

## Key Findings

- **4 decimal places** is the most common precision (64.54% of all values)
- **water-pollution.json** contains 79% of the total dataset (82,840 values)
- **water-consumption.json** has the highest proportion of integers (36.35%)
- **air-pollution.json** and **land-use.json** show similar patterns with ~89% having 2 decimal places
- No null values were found in any file

## Files Generated

- `decimal_place_analysis.json` - Complete structured analysis
- `decimal_place_summary.csv` - Quick reference CSV
- `decimal_place_analysis.py` - Analysis script