Question 1

What JSON structures are supported?

Accepted Answer

The tool supports both flat and nested JSON structures, including arrays of objects and objects with nested fields. It is designed to handle typical JSON data used in APIs, databases, and data pipelines.

Question 2

How are nested objects handled during conversion?

Accepted Answer

Nested objects are flattened during the conversion process. Each nested property is represented as a separate column in the CSV, using a dot notation (e.g., parent.child) to indicate the hierarchy.

Question 3

How does the tool manage missing fields across rows?

Accepted Answer

When a field is missing in some rows, the tool leaves the corresponding CSV cell empty for those rows. This ensures that all columns are consistently present in the output, even if some values are missing.

Question 4

Can I control the column order in the CSV output?

Accepted Answer

Yes, you can specify the desired column order before exporting the CSV. The tool allows you to select and arrange columns according to your requirements.

Question 5

How does type inference work when converting CSV to JSON?

Accepted Answer

The tool analyzes each CSV value and attempts to infer its data type, such as number, boolean, or string. This helps produce a JSON output that closely matches the original data types where possible.

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