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Deedle distinguishes columns based on their names. Each column in a Deedle dataframe has a unique name, which is used to identify and access the values in that column. Deedle's core data structure is a series, which is a named one-dimensional array containing the values in a particular column. By using the column name and series, Deedle makes it easy to work with and manipulate data in a variety of ways. Some common tasks include selecting, filtering, aggregating, and transforming data based on specific columns or combinations of columns. Overall, Deedle's column-based approach provides a powerful and flexible way to work with data and gain insights into patterns, trends, and relationships.