Data types documentation

Data types

Welcome to the Data types section, where you can explore various data types available for generating synthetic data. This guide provides an overview of popular data types and additional options.

Popular

These popular data types are commonly used for generating synthetic data:

Data type	Description	Example
Words	Random words will be generated	”Hello”
Number	Generates random numbers within a chosen range	35
Boolean	True and False will be used as values	True
AI	For the types that ar not listed here. Write a prompt with description of the data type (e.g. 6-digits binary number)	“101010”
Custom	Add your own set of values to be used for that specific field (e.g. “a”,“b”,“c”)	“b”
Derived	Specify the relations between fields. (e.g. {{First Name}}@gmail.com)	“luigi@gmail.com”
Template	Use a Template with other Data Fields nested in the actual field	-
API Response	The field will be filled with Data received from a given API endpoint (API Response)	-
DB Response	The field will be filled with Data received from a given DB connection(API Response)	-
Mapped	Map the data fields to new values	-

Others

Explore additional data types for more specialized use cases:

Data type	Description	Example
UUID	An universally unique identifier will be created for each entry	”c2ea59d3-1ca9-4737-ac84-406928ae98a3”
Float	Generates random numbers within a chosen range and includes decimals	423,841
Date	Will generate random dates	”02/05/2023”
Name	Random first name + surname for each field	”Mr. Luigi Brotta”
First name	Human first names	”Luigi”
Last name	Last names (surnames)	“Brotta”
E-mail	DataMaker will create a complete e-mail address, but unrelated to other fields	”luigi.brotta@gmail.com”
Address	Will generate street name with number and zip code for each field	”83570 Bins Trafficway Apt. 846”
City	Random city names	”Rainbow City”
Country	Random countries	”Burkina Faso”
Phone number	Random phone numbers	”+69-123-456-7890”
Zip code	Random zip codes	”65821”
Sex	M (masculine) or F (feminine)	“Male”
Gender	A radnom gender will be allocated to each field	”Trans woman”
Avatar	URLs to random public avatars from different internet sources will be added	”https://avatars.githubusercontent.com/u/10345168”
Job title	A random Job Title for each field will be generated	”Product mobility associate”
Random string	Random string within a given range of numbers and characters	”EGXT
Account name	Different bank account names	”Investment Account”
IBAN	Bank accounts in IBAN format will be generated	”DE89370400440532013000”
Currency name	Random full currency names	”Pakistan Rupee”
Credit card number	Random card numbers	”1234-5678-9012-3456”
Account number	Random identifier for accounts or profiles	”12345678”
Password	Random string simulating user passwords	”AociFM7CDlODf5T”
Domain name	Synthetic web address for testing websites	”waterlogged-brocolli.info”
Color	Random codes representing a color	”#FF5733”
Emoji	Random emojis	”😄“
IPv4	Synthetic numerical IP address for networking	”192.168.0.1”
MAC address	Synthetic hardware address for networking	”00:1A:2B:3C:4D:5E”
URL	Random web address for link testing	”https://datamaker.app”
Product	Random names for products or items	”Sausage”
Department	Category or department name	”Computers”
Product name	Random description of a product or item	”Generic Soft Cheese”
Datetime	Synthetic date and time value for testing	”2023-09-16T19:27:42.649Z”
Month	Random month name	”February”
Weekday	Random day of the week	”Wednesday”
Time zone	Synthetic time zone identifier for testing	”Europe/Warsaw”
Lorem	Random latina text commonly used as a placeholder	”Tergum adsuesco arca taedium conicio umbra vae.”
RegExp	Synthetic regular expression pattern for testing	”###test4”
MongoDB ObjectID	Synthetic identifier used in MongoDB databases	”9bdb767fbf3efacb1bb529f6”
Null	Placeholder for missing or null data	null
Nested	Complex data structure for testing and development	-

That concludes our overview of data types available in DataMaker. With these versatile options, you can easily generate synthetic data for various purposes, from testing to development. If you have any questions or need further assistance, please don’t hesitate to reach out to our support team.

Thank you for choosing DataMaker!