DataQualityCheck

laktory.models.DataQualityCheck

Bases: BaseModel

A Data Quality Check is the result of an expectation compared to a dataset.

ATTRIBUTE	DESCRIPTION
fails_count	Number of rows not meeting the expectation. TYPE: int
rows_count	Total number of rows in dataset. TYPE: int
status	Result of comparison, considering the expectation criteria and tolerances. TYPE: Literal['PASS', 'FAIL']

Examples:

from laktory import models

check = models.DataQualityCheck(
    rows_count=10,
    fails_count=2,
    status="FAIL",
)
print(check)
# > variables={} fails_count=2 rows_count=10 status='FAIL'

check = models.DataQualityCheck(
    rows_count=10,
    fails_count=2,
    status="PASS",
)
print(check)
# > variables={} fails_count=2 rows_count=10 status='PASS'

ATTRIBUTE	DESCRIPTION
failure_rate	Ratio of the number of rows not meeting the expectation to the total number of rows in the dataframe. Returns

Attributes

failure_rate property

failure_rate

Ratio of the number of rows not meeting the expectation to the total number of rows in the dataframe. Returns None when the type is "AGGREGATE".