A static column stores fixed values in a dataset. Unlike dynamic columns that generate data automatically, static columns contain predefined values that only change when manually updated.
Manual Data Entry: Static columns are ideal for storing user-provided values that do not change frequently. Users can input and update information manually without the need for automated processing.
Fixed Categorical Data: When datasets contain categorical values such as labels, predefined categories, or classifications, static columns help in maintaining a structured format without requiring additional computation.
Initial Data Setup: When setting up a dataset, static columns can be used to pre-fill rows with default values. This ensures that every entry in the dataset follows a consistent structure and prevents missing or null values from appearing in newly added rows.
Static columns provide a simple, reliable way to store structured data without needing complex processing. They are best suited for cases where values remain constant and do not require computation, making them an essential building block in data management.