How to Generate Synthetic Data with the Movies Dataset

 

1. Install a random data generator package

   To generate large volumes of synthetic data for development and testing, install a random data generator on the command line. In this example we use Falso.

   $ npm install @ngneat/falso

2. Connect to the MongoDB Shell

   The MongoDB Shell is an interactive JavaScript interface to MongoDB. You can use the MongoDB Shell to quickly and easily create, query, and update data.

   Connect via MongoDB Shell

3. Run this script in the shell to generate your data

   This script creates a dataset with 1,000 documents following the document pattern provided:

   const falso = require('@ngneat/falso');
   const data = [];
   for (let i = 0; i < 1000; i++) {
   data.push({
   plot: falso.randParagraph(),
   runtime: falso.randNumber({min:0,max: 200}),
   title: falso.randMovie(),
   lastupdated: falso.randPastDate(),
   num_theaters: falso.randNumber({min:0,max: 1000}),
   total_revenue: falso.randNumber({min:0,max: 10000}),
   viewers: falso.randNumber({min:0,max: 10000}),
    num_mflix_comments: falso.randNumber({min:0,max: 50})
   });
   }
   use('movie_app');
   db.movies.insertMany(data);

   Edit the JSON document to modify the data you generate.
   
   Change movie_app and movies to customize the name of your dataset.