dummy-dataset

1# Dummy Dataset Generation
2 
3Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Creates executable scripts or direct data files for immediate use.
4 
5**Use when:** Creating test data, generating sample datasets, building realistic mock data for development, or populating test environments.
6 
7**Arguments:**
8- `$PRODUCT`: The product or system name
9- `$DATASET_TYPE`: Type of data (e.g., customer feedback, transactions, user profiles)
10- `$ROWS`: Number of rows to generate (default: 100)
11- `$COLUMNS`: Specific columns or fields to include
12- `$FORMAT`: Output format (CSV, JSON, SQL, Python script)
13- `$CONSTRAINTS`: Additional constraints or business rules
14 
15## Step-by-Step Process
16 
171. **Identify dataset type** - Understand the data domain
182. **Define column specifications** - Names, data types, and value ranges
193. **Determine row count** - How many sample records needed
204. **Select output format** - CSV, JSON, SQL INSERT, or Python script
215. **Apply realistic patterns** - Ensure data looks authentic and valid
226. **Add business constraints** - Respect business logic and relationships
237. **Generate or script data** - Create executable output
248. **Validate output** - Ensure data quality and completeness
25 
26## Template: Python Script Output
27 
28```python
29import csv
30import json
31from datetime import datetime, timedelta
32import random
33 
34# Configuration
35ROWS = $ROWS
36FILENAME = "$DATASET_TYPE.csv"
37…