포매터 및 코드
CSV → JSON 데이터셋
CSV + inferred column metadata for ML pipelines.
{
"metadata": {
"rowCount": 5,
"columnCount": 6,
"columns": [
{
"name": "id",
"type": "integer",
"nullCount": 0,
"uniqueCount": 5
},
{
"name": "name",
"type": "string",
"nullCount": 0,
"uniqueCount": 5
},
{
"name": "email",
"type": "string",
"nullCount": 0,
"uniqueCount": 1
},
{
"name": "age",
"type": "integer",
"nullCount": 0,
"uniqueCount": 5
},
{
"name": "active",
"type": "boolean",
"nullCount": 0,
"uniqueCount": 2
},
{
"name": "city",
"type": "string",
"nullCount": 0,
"uniqueCount": 5
}
]
},
"data": [
{
"id": 1,
"name": "Ada",
"email": "[email protected]",
"age": 36,
"active": true,
"city": "London"
},
{
"id": 2,
"name": "Grace",
"email": "[email protected]",
"age": 85,
"active": true,
"city": "New York"
},
{
"id": 3,
"name": "Alan",
"email": "[email protected]",
"age": 41,
"active": false,
"city": "Cambridge"
},
{
"id": 4,
"name": "Linus",
"email": "[email protected]",
"age": 55,
"active": true,
"city": "Helsinki"
},
{
"id": 5,
"name": "Margaret",
"email": "[email protected]",
"age": 87,
"active": true,
"city": "Boston"
}
]
}편집자 노트
Understanding · Tabular rows into nested objects — for ML training and API responses.
이 심층 챕터는 현재 영어로만 제공됩니다. 위의 변환 도구는 귀하의 언어로 작동하지만, 긴 설명 글은 아직 번역되지 않았습니다.
자주 묻는 질문
Quick answers.
›How does the tool handle data types?
The converter checks each value to see if it represents a number or a boolean. If a column consistently contains numeric patterns, it is output as a `number` type in the JSON rather than a string.
›Does my data leave my computer?
No. The parsing and transformation logic is executed locally within your browser session. No data is sent to our servers or stored in any database.
›What happens if my CSV has no header row?
The tool assumes the first row contains labels for the JSON keys. If headers are missing, the resulting objects will use the first row of data as keys, so it is best to provide a header-first file.
›Is there a limit on file size?
The limit depends on your browser's available memory. For datasets exceeding several hundred megabytes, we recommend using a dedicated local script to avoid browser tab crashes.
사람들이 다음도 검색합니다.
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