The markdown data provides instructions for creating and transforming five columns in a dataset. Each column requires a unique name, which must only contain lower-case letters, underscores, or dashes, with no spaces allowed. The type of each column must be specified, as well as the type of transformation to be applied to it. A task description is also required for each column, detailing the specific operations to be performed.
The process is repeated for five columns, labelled as Column 1 to Column 5. The instructions for each column are identical, emphasizing the need for a unique name, a specified column type, a defined transformation type, and a clear task description. The transformations are meant to modify the data in the columns in a specified manner.
Key takeaways:
Each column to be created should only contain lower-case letters and underscores or dashes, with no spaces allowed.
The type of the column to be transformed needs to be specified.
The type of transformation to be applied to each column must be determined.
A task description is required for each column, outlining the task to be performed.
