This section provides information on supported data types in Dataprep by Trifacta.
Dataprep by Trifacta supports the following data types.
Tip: Transforms that include functions work only if the inputs are of a data type and format valid for the function. You should clean up the type and format of your columns before you apply transformations to them.
Supported Data Types
String Data Type
Any non-null value can be typed as String. A String can be anything.
Integer Data Type
The Integer data type applies to positive and negative numeric values that have no decimal point.
Decimal Data Type
Decimal data type applies to floating points up to 15 digits in length.
Boolean Data Type
The Boolean data type expresses true or false values.
Social Security Number Data Type
This data type is applied to numeric data following the pattern for United States Social Security numbers.
Phone Number Data Type
This data type is applied to numeric data following common patterns that express telephone numbers and known valid phone numbers in the United States.
Email Address Data Type
This data type matches text values that are properly formatted email addresses.
Credit Card Data Type
Credit card numbers are numeric data that follow the 14-digit or 16-digit patterns for credit cards.
Gender Data Type
This data type matches a variety of text patterns for expressing male/female distinctions.
Zip Code Data Type
This data type matches five- and nine-digit U.S. zipcode patterns.
State Data Type
State data type is applied to data that uses the full names or the two-letter abbreviations for states in the United States.
Object Data Type
An Object data type is a method for encoding key-value pairs. A single field value may contain one or more sets of key-value pairs.
Array Data Type
An array is a list of values grouped into a single value. An array may be of variable length; in one record the array field may contain two elements, while in the next record, it contains six elements.
IP Address Data Type
The IP Address data type supports IPv4 address.
URL Data Type
URL data type is applied to data that follows generalized patterns of URLs.
HTTP Code Data Type
Values of these data types are three-digit numeric values, which correspond to recognized HTTP Status Codes.
Datetime Data Type
Dataprep by Trifacta supports a variety of Datetime formats, each of which has additional variations to it.
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