![]() It's a great way to get an idea of how different pieces of data will affect your application. Also the data can be used in train different models. So these dummy data generator tools give a large dataset that can be used for such purposes. It gives a better idea of how effective the software is, helps to identify bugs & issues, and load test the software with a large amount of data. One of the most important tools for a software developer and a QA (quality analyst) is to be able to test their software with realistic fake data. It is basically a dummy data generator built into a web page. ![]() ![]() This is great for getting data for testing purposes in your application. For example, it can help you generate hundreds of user profile information or credit card data or weather data, fake address, and a lot more, or Free. Test data generator or fake data generator or dummy data generator is a useful tool to help you generate a lot of realistic fake data that you may not be able to get otherwise. Test data is a bunch of random data that have been generated from a variety of different sources. Test data are also called fake data or dummy data. What is test data or fake data or dummy data? Just download the test data in CSV format, and import it in your database using a csv importer. Yes, easily the test data can be imported to any database like MySQL/MSSQL or others. Check the Field type selection above, some of them are Name, Email, Mobile number, Address, Sentences and a lot more.Ĭan we import this test dataset to database? What different data types are supported in this fake data generation tool?ġ5+ different types of data types are supported in this dummy data generator tool. Click Generate: And the dataset file will get downloaded.Output Format: Select the fake dataset output format, it can be JSON or CSV.Total Rows: Enter the total number of rows required in fake dataset.Add Field/Columns: Click on the green "Add field" button to add a column.Enter Field name & select Field Type: Enter field name & select the field type based on your data need.How can we use this Fake data generator tool?
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