Data Science Lab
  • What is Data Science Lab?
  • Accessing the Data Science Lab Module
  • Homepage
  • List Projects
  • List Feature Stores
  • Create
    • Create Project
      • Container Status Message
    • Create Feature Store
  • Registered Models and APIs
  • Settings
  • Trash
  • Tabs for a DSL Project
    • Workspace
      • Workspace Folders
        • Repo Folder Attributes
          • Notebook Actions
            • Export
            • Register as Job
            • Notebook Version Control
            • Share
            • Delete
            • Information
        • Repo Folder Attributes for a Repo Sync Project
          • File Attributives
        • Utils Folder Attributes
          • Utility Actions
        • Files Attributes
      • Working with the Workspace tab
        • Create
        • Import
          • Importing Notebook
          • Pull from Git
        • Adding File and Folders
      • Linter
      • Git Console
    • Data
      • Adding Data
      • Data List Page
    • Model
      • Import Model
      • Explainer Generator
      • Export to GIT/ Model Migration
      • Model Explainer
      • Share a Model
      • Register a Model
      • Unregister a Model
      • Register a Model as an API Service
        • Register a Model as an API
        • Register an API Client
        • Pass Model Values in Postman
      • Delete Model
    • AutoML
      • Creating AutoML Experiment
      • AutoML List Page
        • View Explanation
          • Model Summary
          • Model Interpretation
            • Classification Model Explainer
            • Regression Model Explainer
            • Forecasting Model Explainer
          • Dataset Explainer
  • Data Science Notebook
    • Preview File
    • Save as Notebook
    • .ipynb File Cells
      • Using a Code Cell
      • Using a Markdown Cell
      • Using an Assist Cell
    • Resource Utilization Graph
    • Taskbar
    • Actions Icons
  • Model Creation using Data Science Notebook
  • Notebook Operations
    • Data
      • Copy Path Functionality
    • Secrets
    • Algorithms
    • Transforms
    • Artifacts
    • Variable Explorer
    • Writers
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On this page
  • Adding Data
  • ​Reading an added Data
  • Project Level Data Tab
  1. Notebook Operations

Data

The Data options enables a user to add data inside their project from the Data Science Notebook infrastructure.

PreviousNotebook OperationsNextCopy Path Functionality

Last updated 8 months ago

Adding Data

  • Navigate to a Data Science Notebook page (.ipynb file).

  • Click the Data icon given in the right side panel.

  • The Data option opens displaying the related icons.

  • Click on the Add icon.

  • The Add Data page appears.

  • Based on the selected Data source option, the steps to add data may vary based on the selected Data source.

Please Note: Refer to the Adding Data page for more details on how to add data.

​Reading an added Data

Please Note: Using the get_data function datasets and data sandbox files (csv & xlsx files) can be read.

  • Add a new Code cell to Notebook or access an empty Code cell.

  • Select a dataset from the Data tab.

  • The get_data function appears in the code cell.

  • Provide the df (DataFrame) to print the data from the selected Dataset. A Dataset can be an added dataset, data sandbox file, or feature store.

  • Run the cell.

  • The Data preview appears below after the cell run is completed.

Project Level Data Tab

The Data Sets/ Sandbox files/ Feature Stores added to a Data Science Notebook will also be listed under the Data tab provided under the same project. Hence, the added datasets will be available for all the Data Science Notebooks created or imported under the same project.

Please refer to these links: , , and for more information.

Adding Data Sets
Uploading and Adding Data Sandbox files
Adding Feature Stores