Exporting Data from a Flow

After you have finished working on your data, you might need them to perform further analysis.

Rulex provides you with several export tasks, which allow you to export data in the following formats:

Once any export task is opened, they have the same layout:

  • On the top panel of the task, you will find the task toolbar, where the undo, redo, save, compute task, export buttons are contained.

  • The Options tab, where you can find the source options and you can choose the files to import. You can choose multiple paths where the file will be exported.

  • The Export Options tab, where you configure the Dataset Structure and the Rules. This panel changes according to the type of the file to import.

In the Options tab, the Source panel provides you with two different source types:

  • The Saved source type: it refers to the connections created in the Environment. All the filesystems can be saved, apart from the Local Filesystem, that is the machine’s memory.

If you are exporting a flow which uses a Saved source and you need to import it again in another environment, make sure that the same source is saved in both environments, otherwise the imported flow won’t work.

  • The Custom source type: it allows to add a new connection to one of the supported filesystems and to use it in the current export task only.



Export to Database

Exporting to a Database

Export to Excel File

Exporting to an Excel File

Export to Json File

Exporting to a Json File

Export to Text File

Exporting to a Text File

Export to Xml File

Exporting to an Xml File

Export to Parquet File

Exporting to a Parquet File

Export to PDF File

Export to PDF File task

Export to a Word File

Exporting to a Word File

You can also export data directly from the Data Manager task, using the Export command in the toolbar.

Export tasks accept multiple input tasks and a single output. Although export tasks are frequently used at the end of the Rulex process, they can be used at any point in the process.

The tasks can be used to export any part of the process, such as:

  • the dataset itself

  • the results

  • clusters

  • execution information

  • models

  • relevances

  • if-then matrix

  • rules

KNN boxes are available only for the K-Nearest Neighbor task, which is not provided in the standard version of Rulex.