Tuesday 9 January 2024

How many types of default Graphs (Visualizations) are available in Power BI? Power BI interview questions and answers 317

 How many types of default Graphs (Visualizations) are available in Power BI?

There are over 30 default visualization types available in Power BI, covering a wide range of data representation needs. Here are some of the most common categories and examples:


  • Bar chart: Compares values across categories.

  • Column chart: Similar to a bar chart, but with vertical bars.

  • Line chart: Shows trends over time.

  • Area chart: Emphasizes the magnitude of change over time.

  • Pie chart: Represents proportions of a whole.

  • Doughnut chart: Similar to a pie chart, but with a hole in the center.

  • Funnel chart: Visualizes stages in a process, often for sales or conversion analysis.


  • Filled map: Displays data distribution across geographic regions.

  • Shape map: Uses custom shapes to represent different regions.

  • ArcGIS map: Integrates with ArcGIS mapping services for advanced spatial analysis.


  • Card: Displays a single key metric or value.

  • Multi-row card: Shows multiple metrics in a compact format.


  • Table: Presents data in a grid format, allowing for sorting and filtering.

  • Matrix: Creates a cross-tabulation of two or more fields.

Other Visuals:

  • Scatter chart: Shows relationships between two numerical variables.

  • Bubble chart: Similar to a scatter chart, but with bubble sizes representing an additional dimension.

  • Treemap: Visualizes hierarchical data using nested rectangles.

  • Gauge: Displays a single value on a dial or scale.

  • R visual: Integrates R scripts for custom visualizations and statistical analysis.

  • Custom visuals: Downloadable visuals created by the Power BI community, expanding visualization options further.

Key Points:

  • The exact number and availability of visuals may vary slightly depending on your Power BI version and configuration.

  • New visuals are added regularly, so it's worth exploring the "Visualizations" pane to discover the latest options.

  • Choose the most appropriate visual based on the type of data you're analyzing and the insights you want to convey.

  • Experiment with different visuals to find the best way to communicate your data effectively.

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