Apache Spark 3 for Data Engineering and Analytics with Python - Create a Dashboard

The video tutorial guides viewers through the process of creating a dashboard using visuals. It begins with setting up the initial visual elements and proceeds to name and save the dashboard as 'sales analytics'. The tutorial then demonstrates how to add multiple visuals to the dashboard, align them, and finalize the layout. Viewers are encouraged to explore the dashboard settings and are shown how to navigate back to the dashboard if needed. The tutorial concludes with a brief summary and farewell.

What is the first step in creating a dashboard based on visuals?

• Align the visuals

• Scroll down to the first visual

• Exit the dashboard

• Select the view menu

How do you add a visual to the dashboard?

• Type the visual name in the text box

• Click the graph button and select add to dashboard

• Drag and drop the visual

• Use the alignment tool

What should you do after adding all visuals to the dashboard?

• Change the dashboard theme

• Rename the dashboard

• Align the visuals

• Delete unnecessary visuals

How can you return to the dashboard after closing it?

• Restart the application

• Use the undo button

• Recreate the dashboard

• Select the view menu and find sales analytics

What is the final step after completing the dashboard setup?

• Add more visuals

• Select exit

• Change the dashboard name

• Delete the dashboard