water_quality: Water Quality Dataset

In zhjx19/mathmodels: Comprehensive Mathematical Modeling Algorithms in R

Water Quality Dataset

Description

A dataset containing water quality evaluation metrics for 20 rivers, including dissolved oxygen (O2, positive indicator), pH value (PH, centered indicator), total bacteria count (germ, negative indicator), and plant nutrient content (nutrient, interval indicator with optimal range 10-20). This dataset is suitable for multi-criteria decision analysis, such as weight calculation and fuzzy comprehensive evaluation in the mathmodels package.

Usage

water_quality

Format

A data frame with 20 rows and 5 columns:

ID

Numeric, unique identifier for each river (1 to 20).

O2

Numeric, dissolved oxygen content (mg/L), higher values are better (positive indicator).

PH

Numeric, pH value, values closer to 7 are optimal (centered indicator).

germ

Numeric, total bacteria count, lower values are better (negative indicator).

nutrient

Numeric, plant nutrient content (mg/L), optimal range is 10-20 (interval indicator).

Details

Water Quality Dataset

Source

Simulated data for water quality evaluation, created for demonstration purposes.

Examples

# Load the dataset
data(water_quality)

# Preview the data
head(water_quality)

zhjx19/mathmodels documentation built on June 2, 2025, 12:18 a.m.