Datasets

Now the Notebook page facilitates the user to add the datasets.

Check out the given walk-through on how to add a dataset using the Notebook page,

Reading a dataset

Reading a Data sandbox file using Copy Path

Adding Datasets

• Navigate to the Notebook page.

• Click on the Add Dataset option.

• The Add Datasets dialog box appears.

• Select Data Sets or Data Sandbox from the Data Source drop-down menu.

• Select dataset(s) as per the requirement using the check box.

• Click the Add option.

• A notification message appears.

• The selected Dataset(s) get added to the given Dataset tab.

• Click on the More icon.

• The drop-down menu appears displaying the Preview and Data Preparation actions for the added dataset appears.

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Uploading Datasets

The Upload option is provided for the Sandbox files inside the Data Science Notebook.

• Navigate to the Add Datasets panel from a Data Science Notebook.

• Click the Upload option.

• The Upload Data Sandbox window appears.

• Provide a Sandbox Name.

• Provide Description (it is optional).

• Use the Choose File option to select a file.

• Click the Save option to upload the selected file.

• A notification message appears to inform completion of the action.

• The uploaded file lists below with a checkbox to select it.

​Reading Datasets

• Datasets can be read in two methods as:

  • Using get_data function datasets and data sandbox files (csv & xlsx files) can be read.

  • Using Copy Path functionality data sandbox files (xls, txt, png, json, jpg, jpeg, mp4 files) can be read.

Reading a Data Sandbox file using get_data function.

Reading a Data Sandbox file Copy Path functionality.

Please Note: Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell. Click here to get redirected to the quick start flow page.