Data Type Analyzer
Automatically detect and analyze data types in your dataset
What This Tool Does
The Data Type Analyzer examines your JSON dataset and provides comprehensive insights into the data types present in each field. It identifies whether fields contain strings, numbers, booleans, arrays, or objects, counts null values, and shows sample values to help you understand your data structure. This analysis is essential for data validation, schema design, and ensuring data quality before processing or importing.
Who It's For
- Data engineers designing schemas
- Developers validating API responses
- Data analysts exploring new datasets
- QA engineers testing data quality
Typical Use Cases
- Understanding unfamiliar datasets
- Validating data before import
- Designing database schemas
- Identifying data quality issues
- Documenting data structures
Input JSON Array
Analysis Results
Analysis results will appear here...
How It Works
Parse JSON Data
The tool validates and parses your JSON array, extracting all objects for analysis. It ensures the input is a valid array of objects before proceeding.
Scan All Fields
Every field in every object is examined. The tool identifies all unique field names and tracks the data type of each value encountered, including handling of null and undefined values.
Aggregate Statistics
For each field, the tool counts occurrences of each data type, tracks null values, and collects sample values to give you a complete picture of your data.
Generate Report
Results are presented in an easy-to-read format showing field names, detected types with counts, null value statistics, and representative sample values.
Examples
Example 1: Consistent Data Types
Input:
[
{"name": "John", "age": 30, "active": true},
{"name": "Jane", "age": 25, "active": true},
{"name": "Bob", "age": 35, "active": false}
]Output:
Field: name
Types: string (3)
Null Count: 0
Samples: John, Jane, Bob
Field: age
Types: number (3)
Null Count: 0
Samples: 30, 25, 35
Field: active
Types: boolean (3)
Null Count: 0
Samples: true, true, falseExample 2: Mixed Types and Nulls
Input:
[
{"id": 1, "value": "text"},
{"id": 2, "value": 123},
{"id": 3, "value": null}
]Output:
Field: id
Types: number (3)
Null Count: 0
Samples: 1, 2, 3
Field: value
Types: string (1), number (1)
Null Count: 1
Samples: text, 123Common Errors
- Not an array: Input must be a JSON array
[...], not a single object - Empty array: Cannot analyze an empty array - provide at least one object
- Invalid JSON: Check for syntax errors like missing commas or quotes
- Non-object items: Array should contain objects, not primitive values
When to Use This Tool
Use This Tool When:
- You receive a new dataset and need to understand its structure
- You're designing a database schema from JSON data
- You want to validate data types before processing
- You need to identify inconsistent data types
- You're documenting an API response structure
Compared to Other Tools:
- vs JSON Formatter: Use this for analysis; use formatter for readability
- vs Schema Preview: Use this for type details; use schema for structure visualization
- vs Consistency Checker: Use this for type analysis; use checker for validation
Limitations & Important Notes
File Size Limits
This tool analyzes data in your browser. JSON files larger than 5MB may cause performance issues. For very large datasets, consider sampling your data or using server-side analysis tools.
Data Integrity
While this tool accurately identifies data types, it does not validate business logic or semantic correctness. A field containing numbers doesn't guarantee those numbers are valid for your use case.
Type Detection
The tool detects JavaScript data types (string, number, boolean, object, array, null). It does not infer semantic types like dates, emails, or phone numbers from string values.
For Reference Only
This analysis is provided for reference and exploration. Always validate your data against your specific requirements and business rules before using it in production.
Privacy: All analysis happens locally in your browser. Your data is never uploaded to our servers.