Filtering by multiple conditions using "type AND date" means applying two or more criteria simultaneously to narrow down data. Specifically, an "AND" operator requires all linked conditions to be true for a record to be included. For example, only entries matching both a specific product type (like "Book") and falling within a given date range (like "2023") would appear. This contrasts with "OR" filtering, where meeting any condition includes the record.

This capability is widely supported across tools like spreadsheets (Excel/Google Sheets filters), databases (SQL using WHERE type = 'Book' AND date BETWEEN '2023-01-01' AND '2023-12-31'), and business software (CRM systems filtering leads by "Status: Active" AND "Last Contacted: This Month"). It’s essential in reporting, inventory management, and data analysis for scenarios like identifying sales of a seasonal item during a promotion.

Using "AND" conditions enhances precision but requires accurate data and careful specification to avoid overly restrictive filters that return no results. Over-filtering can obscure trends, while under-filtering may yield irrelevant data. Future tools increasingly integrate natural language queries ("Show books from 2023") but still rely on underlying logical operators like AND for reliable results.