Business Intelligence with Microsoft Power BI - with Material - Matrix

The video tutorial explains the importance of metrics in Power BI and demonstrates how to customize text size for better readability. It covers the process of converting a table into a matrix to improve data presentation and readability. The tutorial also provides a step-by-step guide on creating a matrix from scratch, highlighting the differences between tables and matrices in terms of rows, columns, and values.

Why is it beneficial to adjust the text size across all pages in Power BI?

• It saves time by applying changes to all pages at once.

• It enhances the color scheme of the dashboard.

• It automatically updates data sources.

• It allows for more detailed data analysis.

What is a limitation of using a table to display data with multiple dimensions?

• Tables cannot display numerical data.

• Tables cannot be exported to Excel.

• Tables require scrolling to view repeated data entries.

• Tables do not support text formatting.

How does a matrix improve data readability compared to a table?

• By organizing data into rows and columns with headings.

• By allowing for interactive data filtering.

• By displaying data in a single column.

• By automatically generating data summaries.

What are the additional options available when creating a matrix compared to a table?

• Data filters and slicers.

• Export and import settings.

• Rows, columns, and values.

• Conditional formatting and themes.

Which elements are placed into rows, columns, and values when creating a matrix?

• Subcategory into rows, region into columns, sales into values.

• Region into rows, subcategory into columns, sales into values.

• Sales into rows, subcategory into columns, region into values.

• Subcategory into columns, region into rows, sales into values.