Microsoft Power BI Questions & Answers

Here’s how you can create a line chart in Power BI:

• Load Your Data
• Add a Line Chart
• Assign Data Fields
• Customize the Chart
• Apply Filters & Enhancements

Here’s how you can create a heatmap in Power BI:

• Use Conditional Formatting
• Use Custom Visuals
• Create a Geographical Heatmap

Steps to Create a Report in Power BI

• Import Data – Open Power BI Desktop and connect to a data source (Excel, SQL, etc.).
• Transform Data – Use Power Query to clean and shape your data.
• Create Relationships – Define relationships between tables in the Model View.
• Build Visualizations – Drag fields onto the canvas to create charts, tables, and graphs.
• Apply Filters & Slicers – Use filters and slicers to refine data views.
• Add Calculations – Use DAX formulas to create custom measures.
• Format & Customize – Adjust colors, labels, and themes for better presentation.
• Publish & Share – Upload the report to Power BI Service for collaboration.

Steps to Create a Column Chart in Power BI

• Open Power BI Desktop – Launch Power BI and open your report.
• Select Your Data – Ensure your dataset includes categories (X-axis) and numerical values (Y-axis).
• Insert a Column Chart – Click on Visualizations and select Column Chart.
• Drag Data Fields
• Customize the Chart – Use the Format pane to adjust colors, labels, and gridlines.
• Save & Publish – Click Save and publish your report to Power BI Service.

Power BI helps in deeper visual analysis by offering interactive and dynamic visuals, allowing users to drill down into data and explore relationships, patterns, and outliers.

Power Bi does not have any dependencies, it is solely responsible for data visualization and representing it graphically with the help of elements like charts, maps, graphs, etc.

A dashboard is a single page canvas that can show us multiple data sheets over a single page. It clubs the information of multiple pages into a single page, thereby giving us an overview of our data.

Power BI's drill down feature allows for more detailed data analysis by expanding or collapsing data at various levels of granularity.

There are six building blocks of Power Bi, which are as follows:

• Dashboard
• Reports
• Workbooks
• Semantic Models
• Dataflow
• Applications

Power Bi does not support Binary columns or Complex numbers. Although it does support data types like Text, Whole number, Decimal number, Date/Time, and Boolean.