Each visual type is designed with a specific purpose in mind, allowing you to highlight key metrics, trends, comparisons, and more, so that you can effectively communicate insights to your audience.
Card
Good for highlighting key metrics with simple formatting that keeps the design clean and focused.
Card (new)
Best for highlighting key metrics, with new and improved formatting options not available in the default card visual.
KPI
Use to display key performance indicators, showing current value, target, and status, like monthly revenue vs. goal.
Multi-row card
Use for displaying multiple key metrics, like revenue, profit, and expenses in a single visual.
Gauge
Best for tracking progress toward a target, such as current sales vs. target or customer satisfaction score against a goal.
Line chart
Best for showing trends over time, like tracking monthly revenue, expenses, or customer growth.
Area chart
Good for showing cumulative data over time, like tracking the growth in customer subscriptions or revenue.
Stacked area chart
Use for showing the cumulative total over time, highlighting the contributions of different categories to that total.
Ribbon chart
Use for showing rank changes over time, like tracking how the top-selling products or regions change month to month.
Table
Best for displaying detailed data, such as transaction records, financial statements, or any tabular data.
Matrix
Ideal for displaying data in a grid with categories and subcategories, like product sales by region and month.
Clustered bar chart
Use to compare discrete categories, such as sales performance of different products or services in various regions.
Clustered column chart
Use to compare discrete categories, such as sales performance of different products or services in various regions.
Line and clustered column chart
Great for comparing trends over time (line) alongside category-specific totals (columns), like revenue over time with region-based breakdowns.
Line and stacked column chart
Best for showing trends over time, like tracking monthly revenue, expenses, or customer growth.
Stacked bar chart
Ideal for comparing the contribution of different categories to a total, like total sales per region by product.
Stacked column chart
Ideal for comparing the contribution of different categories to a total, like total sales per region by product.
Pie chart
Good for showing simple part-to-whole relationships, like market share or revenue distribution by category.
Donut chart
Use for simple part-to-whole relationships, like showing the proportion of total sales by product category.
Funnel
Use to analyze stages in a process, such as a sales pipeline from lead generation to closed deals.
Treemap
Use to show hierarchical data in a space-efficient way, such as sales by product category and subcategory.
Waterfall chart
Ideal for showing incremental changes in a process, like how revenue builds or decreases from one stage to another.
100% Stacked area chart
Ideal for showing percentage changes over time while emphasizing the total size, such as product category contribution to overall sales.
100% Stacked column chart
Use when comparing the percentage distribution of categories over different groups, such as market share by region.
100% Stacked bar chart
Use when comparing the percentage distribution of categories over different groups, such as market share by region.
Map
Good for plotting geographical data points, like customer distribution or sales territories on a map.
Filled map
Ideal for showing regional data density, such as sales volume or service coverage across countries or states.
Shape map
Use for displaying geographical regions and shapes, like custom sales regions or districts that don’t fit standard map formats.
Azure map
Use to display data points geographically, like visualizing deliveries, shipments, or sales per region on an Azure map.
ArcGIS for Power BI
Use for advanced geographical analysis, like assessing sales performance across store locations with spatial layers.
Power Apps for Power BI
Integrate custom app functionality within your report, such as allowing users to input data directly from the report.
Power Automate for Power BI
Automate workflows based on report actions, like sending a notification when a sales target is reached.
Paginated report
Use for generating detailed, formatted reports, like invoices, balance sheets, or other financial summaries.
Metrics
Track business performance metrics over time, such as monthly goals and actuals, and easily share insights with the team.
Slicer
Best for showing trends over time, like tracking monthly revenue, expenses, or customer growth.
Slicer (new)
Add filtering options with new and improved visual formatting options not available in the default slicer visual.
Scatter chart
Great for identifying correlations between two variables, like the relationship between advertising spend and sales.
Decomposition tree
Great for breaking down a metric (like revenue) into its contributing factors (region, product line, etc.), to explore root causes.
Key influencers
Helps identify factors that influence a specific metric, like discovering what drives high customer retention or sales growth.
Q&A
Enable users to ask natural language questions about data, like “What were last quarter’s sales?” and get instant visual responses.
Python visual
Use when advanced analytics or custom visualizations are needed, such as forecasting or machine learning analysis.
R script visual
Best for custom statistical analysis or visualizations using R, ideal for deeper data analysis like clustering or regression.
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