Converting JSON to Data Formats: CSV, XML, YAML, and Tabular Data

# Converting JSON to Data Formats: CSV, XML, YAML, and Tabular Data Modern software stacks rarely operate in an isolated format. A typical data pipeline receives JSON from microservice APIs, exports rows to CSV for financial analysts, writes YAML manifests for Kubernetes clusters, and interfaces with legacy SOAP banking systems using XML. Understanding the transformation mechanics between these formats prevents silent data loss during format migrations. --- ## 1. Flattening Hierarchical JSON into Tabular CSV CSV is inherently 2-dimensional (rows and columns), whereas JSON is an n-dimensional hierarchical tree. To convert nested JSON objects into RFC 4180 CSV rows, nested paths must be flattened using **dot-notation**. ### Before Conversion (JSON): ```json [ { "id": 1, "user": { "name": "Jane", "address": { "city": "Seattle" } } } ] ``` ### After Flattening (CSV): ```csv "id","user.name","user.address.city" 1,"Jane","Seattle" ``` Convert your arrays and flatten nested records instantly with our [JSON to CSV Converter](/tools/json-to-csv) or reverse the operation with our [CSV to JSON Converter](/tools/csv-to-json). --- ## 2. Managing Attributes when Converting JSON to XML JSON has no direct concept of XML attributes—only key-value pairs. Standard conversion conventions prefix attributes with `@_` or `@`: ```json { "employee": { "@_id": "emp_99", "name": "Alice Cooper" } } ``` Translates directly into well-formed XML: ```xml Alice Cooper ``` Test attribute handling and custom root tag wrappers with our [JSON to XML Converter](/tools/json-to-xml).