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Predefined Constraint Classes
Predefined constraint classes are available for frequently occurring logic. The logic can be isolated to a single column, incorporate multiple columns in a table or be applied to multiple rows.
This logic can be applied to a single column of your data.
Constraint Class | Description | Example |
|---|---|---|
All the values in the column must be >0 | The room_rate must be positive | |
All the values in the column must be <0 | The credit_balance must be negative | |
All the values in the column have a fixed lower or upper bound | All checkin_date values must occur on or after Jan 1, 2020 | |
All the values in the column have fixed lower and upper bounds | All values in amenities_fee must be between 0 and 500.00 | |
All the numerical values are increments of a whole number | All values in salary must be divisible by 1000 |
This logic requires multiple columns.
Constraint Class | Description | Example |
|---|---|---|
No shuffling is allowed other than what's already observed in the data | The city and country values cannot be shuffled to create new permutations. | |
The original data columns represent a one hot encoding scheme | Exactly 1 of the following columns has a 1 in each row: not_subscribed, basic_subscriber, premium | |
The value in one column must always be greater than the other | The checkout_date must always be after the checkin_date | |
The value in one column is bounded by the values in other columns | The parent_age must be in between child_age and grandparent_age | |
A chain of 2 or more columns in an inequality | purchase_date < start_date < end_date < expiration_date < termination_date |
Last modified 28d ago