10.11 Drop Columns
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By dropping columns from your dataset you can reduce the amount of memory taken up by your dataset, especially for very large datasets.
As an example, suppose we have loaded a dataset using the dataset
template or withing Rattle (so the dataset name is ds) Here we use
the audit dataset from Rattle. We can use the
object.size()
function to determine the current amount of memory the dataset is
taking up:
Within Rattle can select variables in the Dataset tab’s Roles page to be Ignored. we might choose to Ignore age, employment, education, marital, and occupation. In the Transform tab choose the Cleanup feature. Running the Delete Ignored function will remove the columns that we marked as Ignored. Now in the Console we can check how much space the dataset is now taking up:
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