# Example: Show the first 5 rows of the DataFrame
df.head()

# For Scala
// Example: Show the first 5 rows of the DataFrame
df.show(5)

Step 7: Perform Data Visualization (Optional) If you wish to visualize the data, Databricks provides various plotting libraries and visualization tools to present your findings effectively.

Step 8: Save or Export Results (Optional) After performing your analysis, if you want to save the processed data or export the results, Databricks supports various formats such as Parquet, CSV, JSON, etc.