Empty Source¶
The Empty Source task allows users to create datasets from scratch. In order to do that, users have to specify the number of columns and rows of the dataset to be created, and add the values using a Data Manager task.
The Empty Source task is made of only one tab:
the Options tab.
The Options tab¶
Within this tab, users can find and set the following options:
Number of attributes: it defines the number of columns to be included in the dataset.
Number of records: it defines the number of rows to be included in the dataset.
Case sensitive: if selected, uppercase letters values are considered different from the lower cases ones, so strings are considered in case-sensitive mode.
Compress white spaces: if selected, it removes contiguous occurrences of white spaces from within strings. For example the string “university program” would be imported as “university program”.
Strip spaces: if selected, it removes leading and trailing spaces from strings. For example, the string “ class “ will be imported as “class”.
Example¶
Drag and drop an Empty Source task onto the stage.
Double-click to open the task.
Configure the task as explained in the section above.
Link the Empty Source task to a Data Manager task to visualize the results.
