Power BI Masterclass - How to Use Python in the Query Editor for Data Transformation in Power BI

The video tutorial demonstrates how to use Python for data visualization and transformation in Power BI. It covers downloading stock data, importing it into Power BI, and handling regional settings for data import. The tutorial also explains how to run Python scripts within Power BI to perform data manipulations and transformations, including creating new columns and filtering data based on specific criteria. The focus is on using Python to enhance data analysis capabilities in Power BI.

What are the two libraries mentioned for statistical insights in Python?

• NumPy and Pandas

• Matplotlib and Seaborn

• SciPy and Scikit-learn

• TensorFlow and Keras

Where can you download stock price data for analysis in Power BI?

• Reuters

• Bloomberg

• Yahoo Finance

• Google Finance

What file format is used for importing stock data into Power BI?

• JSON

• XML

• CSV

• XLSX

What issue might arise due to regional settings when importing data?

• Time zone difference

• Incorrect date format

• Decimal separator mismatch

• Currency symbol error

Which option allows you to run Python scripts in Power BI?

• Run Python scripts

• Run Java scripts

• Run HTML scripts

• Run SQL scripts

What is the default name given to the dataset in Power BI when using Python?

• DataFrame

• Dataset

• Sheet

• Table

What function is used in Python to calculate percentage change?

• change_percent()

• percent_change()

• pct_change()

• calc_change()

What should you do if you want to keep only specific columns in Power BI?

• Use the 'Select Columns' option

• Use the 'Hide Columns' option

• Use the 'Remove Columns' option

• Use the 'Filter Columns' option

How can you filter data based on percentage change in Power BI?

• Using date filters

• Using text filters

• Using custom filters

• Using number filters

What is the final step to apply transformations and load data in Power BI?

• Click 'Close and Apply'

• Click 'Apply and Load'

• Click 'Save and Close'

• Click 'Finish and Load'