Importing dataset(s) from the local system
Last updated
Last updated
Use this procedure to import the file to the canvas from the local system on which you want to perform the predictions and generate a modelling pipeline. The maximum number of files you can upload is 25, and the file size is 5GB.
To import the file from the local system:
Click the project to which you want to upload the file. The Canvas page is displayed.
Click the plus icon |ico1| and select Dataset to navigate to the Create New Data set window.
You can also use the + NEW DATASET button. However, this option is displayed only when there are no datasets uploaded onto the canvas. The Create New Dataset page is displayed.
By default, the project name is populated in the Project field.
Select the source from where you want to upload. By default, File Import is selected.
You can either upload the file from the local system or create a new connection using the +New Connection to import files from external Data connectors. For more information, see Connect to data connectors
After establishing the connection and importing the files, the imported files are populated in this drop-down list.
Select the Mode to upload the file. Possible options:
Single file import - Use this option to import only a single file onto the canvas.
Merge - Use this option to merge multiple files into one file. Ensure that schema in all the files is same.
Segregate - Use this option to upload multiple files together onto the canvas as separate files.
Select Single file upload.
Click Import Files from Local to browse and upload the file from your local system.
Click Import. Once the file is imported, you can view the file name and file size.
You can perform these actions:
If you want to delete the uploaded file, click the delete icon corresponding to this file name.
If you want to rename the file name, click the edit icon in the Dataset name.
Click File Configuration to expand and view the file configuration fields, such as Separator and Encoding
Separator and Encoding are auto-detected by the platform when you upload the file and this file has a single column containing all column names separated by a specified separator.
Note: The separator option allows you to split all the values separated by a separator into different columns.
Select separator from the drop-down list if the platform failed to auto-detect. Possible values:
11. Select the encoding option if it is not auto-detected by the platform.
Click Apply to apply the separator and encoding options you have selected. Please note that these options are only available for CSV files.
You can now see the data in the file clicking the Open Dataset option. This takes you to the View data page.
13. View the sample data and the data type of each column in the Sample Data section. To change the data type of a specific column, click the data type drop-down under the column name and select the new data type.
Click Done. Once the dataset is added, you are redirected to the Canvas view page where you can see the uploaded dataset node.
