Question

In the Python Integration we covered how Python scripts can be integrated into Power BI to extend its functionality. What are the ways that Python can be integrated into Power BI? (Select ALL that apply)

a) Data Transformation Applied
b)Report
c)Visual
d)Data Source

Answer 1

Python can be integrated into Power BI for data transformation, as a data source, to create custom visuals, and to enhance reports. This integration enhances the data processing and visualization capabilities of Power BI.

Step-by-step explanation:

Python scripts can be integrated in Power BI in several ways to extend its functionality, which allows you to leverage the flexibility of Python within the structured environment of Power BI. The integration points are:

• Data Transformation: Python can be used in the Power Query Editor to perform data cleansing, transformation, and to carry out complex data mashup tasks.
• Data Source: Python scripts can serve as a data source in Power BI, allowing you to get data that might not be available through built-in connectors or to perform operations that require the complexity of Python.
• Visual: Power BI allows the creation of Python visuals, enabling the use of libraries like matplotlib, seaborn, or plotly to create rich, custom visualizations that are not available as default Power BI visuals.
• Report: Python can be utilized in the report view to automate tasks, customize report elements, or provide additional functionality through Python scripting.

By integrating Python in these ways, Power BI gains a powerful ally for data science and complex data processing tasks, beyond its native capabilities.