Guide des Outils de Données

CSV, JSON, and XML each solve different problems. Knowing when to use each format and how to convert between them is a core developer skill that applies daily in data pipelines, APIs, and configuration management.

CSV — Key Edge Cases

• Values with commas must be quoted: "Smith, John"
• Double quotes in values are escaped by doubling: "He said ""hi"""
• Line endings vary: CRLF on Windows, LF on Unix
• No standard for encoding — verify UTF-8 vs Latin-1
• All CSV values are strings — type-cast numbers explicitly

CSV to JSON

// CSV: name,age,city / Alice,30,New York
// JSON output:
[{"name":"Alice","age":"30","city":"New York"}]
// Note: age is a string — cast with parseInt() if needed

Format Comparison

• CSV — tabular data, spreadsheet imports, large flat datasets, data science
• JSON — REST APIs, nested/hierarchical data, JavaScript applications
• XML — SOAP services, enterprise integrations, document formats (DOCX, SVG)

Frequently Asked Questions