This will be the program’s starting point. Open the integrated terminal in Visual Studio Code and run npm init -y to quickly create a “package.json” file.Ĭreate a file in the main directory named “app.js”. Open the directory in Visual Studio Code. This’ll be the base directory of our program. Setting up the overall project structureįirst, create the main directory and name it “Fakedata”. Now that we know all that, let us dive into the tutorial. You can check out others as documented here. You can choose a sub-category by first requiring “faker”, calling the main category, then adding the sub-category after a period. Some examples of data that can be generated include, but not limited to the below categories: Developers can then analyze the data as one would have done in real-life situations and come up with desired decisions. It can generate a massive amount of data thereby allowing a developer to push their programs to the limit during testing. It does this generation by randomly choosing from an online server some of the variables requested for each time it is executed. This can be generated either while running your program locally or remotely by deploying it in a web browser as a webpage. Setting up the application starting pointįaker.js is a Node.js library that allows users to generate massive amounts of fake data for their project use.Setting up the overall project structure.What type of data does Faker.js generate.
#Fake id generator for internet how to#
You can check out how to install MongoDB on your computer here. We shall preferably use Visual Studio Code. A basic IDE is installed on the machine.The basic requirements for this course include: Linking the Fake data generated to the webpage.How to create a simple webpage structure.Key takeawaysīy the end of this tutorial, you will know the following: We shall run our process locally on our computer but fetch the information from an online server. We will then output the fake data in a webpage as a table. In this tutorial, we will learn how to generate fake data in Node.js using the Faker module. Manually generating fake data takes time, hence slowing down the testing process since it is hard to come up with a lot of new data.
#Fake id generator for internet full#
This is because it prevents one from using ones real identity, especially in for data like identification numbers, full names, and date of birth, among others. During system development and testing, employment of Fake data can be very useful.