Diagnostic Report missing RangeCoverage for numerical columns

[npatki]

Environment Details

Please indicate the following details about the environment in which you found the bug:

• SDMetrics version: 0.8.0
• Python version: 3.7
• Operating System: Linux

Error Description

According to the Diagnostic Report docs, the Coverage property is computed by applying the RangeCoverage to numerical columns and the CategoryCoverage to categorical columns.

However, when I try this on some demo data, I am not seeing the RangeCoverage property being applied.

Steps to reproduce

Python code below --

from sdv.demo import load_tabular_demo
from sdv.tabular import GaussianCopula
from sdmetrics.reports.single_table import DiagnosticReport

data = load_tabular_demo('student_placements')
data = data[['gender', 'salary', 'placed']]

metadata = {
    "fields": {
        "gender": {
            "type": "categorical"
        },
        "salary": {
            "type": "numerical", 
            "subtype": "float"
        },
        "placed": {
            "type": "categorical"
        }
    }
}

model = GaussianCopula(table_metadata=metadata)
model.fit(data)
new_data = model.sample(num_rows=200)

report = DiagnosticReport()
report.generate(data, new_data, metadata)
report.get_details('Coverage')

Notice that only the categorical columns (gender and placed) are shown in the details. The salary column is missing