Data Cleaner
Input Data (JSON)
Cleaning Rules
Example Input
[
{
"name": " John Doe ",
"email": "[email protected]",
"age": "25",
"notes": "",
"status": null
},
{
"name": "Jane Smith",
"email": "[email protected]",
"age": "30",
"phone": "+1-123-456-7890",
"status": "active"
}
]Example Cleaning Operations:
- Trim whitespace from all text fields
- Normalize email addresses to lowercase
- Convert age strings to numbers
- Remove empty or null fields
- Fill missing status with "inactive"
- Remove duplicate records