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.
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).
Examples
# Load the dataset
data(water_quality)
# Preview the data
head(water_quality)
#> # A tibble: 6 × 5
#> ID O2 PH germ nutrient
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 4.69 6.59 51 11.9
#> 2 2 2.03 7.86 19 6.46
#> 3 3 9.11 6.31 46 8.91
#> 4 4 8.61 7.05 46 26.4
#> 5 5 7.13 6.5 50 23.6
#> 6 6 2.39 6.77 38 24.6