Mock Data Generator

A powerful web application for generating customizable mock data using pattern matching. Ideal for testing, development, and data visualization projects.

✨ Features

• Custom Data Generation: Create multiple data columns with unique patterns
• Multiple Export Formats: Download data as CSV or Excel (XLSX)
• Advanced Pattern Matching: Support for various data types and formats
• Responsive Design: Works seamlessly on both desktop and mobile devices
• Real-time Preview: See generated data in a clean, tabular format
• Bulk Generation: Generate hundreds or thousands of records with a single click
• User-friendly Interface: Intuitive form-based interface with helpful tooltips

🛠 Pattern Guide

Basic Patterns

• # - Random digit (0-9)
• $ - Random lowercase letter (a-z)
• ###-###-#### - Format numbers (e.g., phone numbers)

Advanced Patterns

• #[min-max] - Random number in range (e.g., #[1-9] for 1-9)
• $[a-z] - Random lowercase letter in range (e.g., $[a-f] for a-f)
• $[A-Z] - Random uppercase letter in range (e.g., $[A-F] for A-F)
• ["value1", "value2"] - Random selection from array (e.g., ["Active", "Inactive"])

📝 Examples

Data Type	Pattern Example	Sample Output
Phone Number	+1-###-###-####	+1-555-123-4567
Email	user_$$$####@domain.com	user_abc1234@domain.com
Custom ID	ID-####-$$$	ID-1234-xyz
Age Range	#[18-65]	34
Status	["Active", "Inactive"]	Active
Nepali Mobile	+977-98#######	+977-9841234567

Add Patterns

Generate and Download Data as CSV or XLSX.

🚀 Getting Started

Prerequisites

• Modern web browser (Chrome, Firefox, Safari, Edge)
• No server required - runs entirely in the browser

Installation

1. Clone or download this repository
2. Navigate to the project directory
3. Open index.html in your preferred web browser

Usage

1. Add Columns: Click "Add Column" to create new data fields
2. Define Fields:
   • Enter a column name (e.g., "Email", "Phone")
   • Specify a pattern (e.g., user_####@domain.com)
3. Set Record Count: Choose how many records to generate
4. Generate Data: Click "Generate Data" to create your dataset
5. Export: Download the data as CSV or Excel

🌟 Tips

• Use # for numeric placeholders and $ for alphabetic ones
• Combine patterns with static text (e.g., ID-###-$$)
• For large datasets, consider generating in smaller batches for better performance
• The preview shows the first 100 rows, but all data will be included in the export

🛠️ Built With

• Tailwind CSS - For styling
• SheetJS - For Excel export functionality
• Vanilla JavaScript