Compose jq filters to inspect, select, map, and aggregate JSON data.
Find delayed orders over $500 in a nested JSON export without loading the whole file into a spreadsheet. Inspect -> iterate -> select -> map -> aggregate. The common trap is flattening everything first. That discards structure, creates duplicate rows, and makes totals harder to trust. Inspect the shape Run .orders[0] to view one order and confirm fields: status, items, customer_id, and id. jq filters should be written against observed structure, not guessed field paths. Iterate the collection Use .orders[] so each order becomes the current input for the rest of the pipeline. The iterator is what changes the problem…
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