Data abstraction

Data abstraction is a process that simplifies complex data by focusing on essential features while hiding unnecessary details. Think of it like using a map: the map shows key landmarks and roads but omits intricate details like every small building or tree. This helps us understand the overall layout without being overwhelmed by information. In general knowledge, data abstraction helps us grasp concepts or systems more easily, allowing us to make informed decisions without needing to know every single fact or data point. It's about recognizing patterns and structures in information.