When working with Python data science tools, having your CSV in the right JSON structure is critical. Our converter outputs a JSON array of objects that maps directly to pd.DataFrame.from_records() or pd.read_json() with orient='records'. Boolean columns are typed correctly (not as 'True'/'False' strings), numeric columns are integers or floats (not strings), and empty values become null (Python's None). This prevents the common type-casting errors that plague data pipelines when reading CSVs directly with inferred dtypes.