Day 11: Create Dashboard From Databricks Notebook | 30 Days of Databricks

Introduction

In this tutorial, you will learn how to create a dashboard from a Databricks notebook. This guide is part of the "30 Days of Databricks" series and will also cover how to utilize widgets within your dashboard. By the end of this tutorial, you'll have practical skills to visualize and interact with your data effectively.

Step 1: Access Your Databricks Workspace

• Log in to your Databricks account.
• Navigate to your Databricks workspace.
• Open the notebook that you want to use for your dashboard.

Step 2: Prepare Your Notebook for Dashboard Creation

• Ensure your notebook contains the necessary visualizations and data analysis. This may include charts, tables, or any other relevant outputs.
• Run all the cells in your notebook to ensure the data is up-to-date.

Step 3: Create the Dashboard

• Click on the "Dashboards" icon in the left sidebar.
• Select “Create Dashboard” from the dropdown menu.
• Give your dashboard a name that reflects its content.

Step 4: Add Visualizations to the Dashboard

• Go back to your notebook.
• For each visualization you want to add:
  • Click on the visualization.
  • Select the option to add it to your dashboard.
• Confirm that the visualizations appear in your dashboard.

Step 5: Utilize Widgets in Your Dashboard

• Widgets allow for interactive elements such as dropdowns and sliders.

• To add widgets:

  • Use the dbutils.widgets library in your notebook.

  • Create a widget using the following code:

    dbutils.widgets.dropdown("my_dropdown", "option1", ["option1", "option2", "option3"], "Choose an option")
    

• Replace "my_dropdown", "option1", and the list of options as necessary.

• After creating the widget, run the cell to initialize it.

Step 6: Configure Widget Actions

• Set up actions that respond to widget inputs, allowing dynamic updates to your dashboard.

• For example, you can filter data based on the widget selection:

  selected_option = dbutils.widgets.get("my_dropdown")
  # Use selected_option in your data queries or visualizations.
  

Step 7: Finalize Your Dashboard

• Review your dashboard to ensure all visualizations and widgets are functioning as intended.
• Make any necessary adjustments to the layout or design for clarity and aesthetics.

Conclusion

You have successfully created a dashboard from a Databricks notebook and incorporated interactive widgets. This dashboard will allow you to visualize data and interact with it dynamically, enhancing your data analysis capabilities. As a next step, consider exploring more complex visualizations or integrating additional data sources to further enrich your dashboard.