Data visualization is at the heart of analytics. Choosing the right chart or visual can make the difference between insights that are clear and actionable, and insights that remain hidden. There are many visualization types available for showcasing your data, and choosing the right ones for your use cases is important. Below, we’ll walk through some common scenarios and share information on the charts best suited for them, and will also touch on some Power BI–specific visuals you should know about.

1. Showing Trends Over Time

When to use: To track how a measure changes over days, months, or years.

Best charts:

• Line Chart: The classic choice for time series data. Best when you want to show continuous change. In Power BI, the line chart visual can also be used for forecasting trends.
• Area Chart: Like a line chart but emphasizes volume under the curve—great for cumulative values or when you want to highlight magnitude.
• Sparklines (Power BI): Miniature line charts embedded in tables or matrices. Ideal for giving quick context without taking up space.

2. Comparing Categories

When to use: To compare values across distinct groups (e.g., sales by region, revenue by product).

Best charts:

• Column Chart: Vertical bars for category comparisons. Good when categories are on the horizontal axis.
• Bar Chart: Horizontal bars—useful when category names are long or when ranking items. Is usually a better choice than the column chart when there are many values.
• Stacked Column/Bar Chart: Show category totals and subcategories in one view. Works for proportional breakdowns, but can get hard to compare across categories.

3. Understanding Relationships

When to use: To see whether two measures are related (e.g., advertising spend vs. sales revenue).

Best charts:

• Scatter Chart: Plots data points across two axes. Useful for correlation analysis. Add a third variable with bubble size or color to generate more insights. This chart can also be useful for identifying anomalies/outliers in the data.
• Line & Scatter Combination: Power BI lets you overlay a line for trend direction while keeping the scatter points.
• Line & Bar/Column Chart Combination: Power BI offers some of these combination charts also to allow you to relate your comparison measures to your trend measures.

4. Highlighting Key Metrics

Sometimes you don’t need a chart—you just want a single number to stand out. These types of visuals are great for high-level executive dashboards, or for the summary page of dashboards in general.

Best visuals in Power BI:

• Card Visual: Displays one value clearly, like Total Sales.
• KPI Visual: Adds target context and status indicator (e.g., actual vs. goal).
• Gauge Visual: Circular representation of progress toward a goal—best for showing percentages or progress to target. For example, Performance Rating score shown on the scale of the goal.

5. Distribution Analysis

When to use: To see how data is spread across categories or ranges.

Best charts:

• Column/Bar Chart with bins: Useful for creating histograms in Power BI.
• Box-and-Whisker Chart (custom visual): Shows median, quartiles, and outliers.
• Pie/Donut Charts: While often overused, they can be effective for showing composition when categories are few (ideally 3–5). For example, show the number and percentage of employees in each department.

6. Spotting Problem Areas

When to use: To identify anomalies or areas needing attention across a large dataset.

Best charts:

• Heatmap: A table where color intensity represents value magnitude. Excellent for finding hot spots or gaps. This can be implemented in Power BI by using a Matrix visual with conditional formatting in Power BI.
• Treemap: Breaks data into rectangles sized by value—helpful for hierarchical comparisons and for easily identifying the major components of the whole.

7. Detail-Level Exploration

When to use: To dive into raw data while keeping formatting and hierarchy.

Best visuals:

• Table: Shows granular row-level data. Best for detail reporting.
• Matrix: Adds pivot-table–like functionality with rows, columns, and drill-down. Often combined with conditional formatting and sparklines for added insight.

8. Part-to-Whole Analysis

When to use: To see how individual parts contribute to a total.

Best charts:

• Stacked Charts: Show both totals and category breakdowns.
• 100% Stacked Charts: Normalize totals so comparisons are by percentage share.
• Treemap: Visualizes hierarchical data contributions in space-efficient blocks.

Quick Reference: Which Chart to Use?

Scenario	Best Visuals
Tracking trends, forecasting trends	Line, Area, Sparklines
Comparing categories	Column, Bar, Stacked
Showing relationships	Scatter, Line + Scatter, Line + Column/Bar
Highlighting metrics	Card, KPI, Gauge
Analyzing distributions	Histogram (columns with bins), Box & Whisker, Pie/Donut (for few categories)
Identifying problem areas	Heatmap (Matrix with colors), Treemap, Scatter
Exploring detail data	Table, Matrix
Showing part-to-whole	Stacked Column/Bar, 100% Stacked, Treemap, Pie/Donut

The below graphic shows the visualization types available in Power BI. You can also import additional visuals by clicking the “3-dots” (get more visuals) at the bottom of the visualization icons.

Summary

Power BI, and other BI/analytics tools, offers a rich set of visuals, each designed to represent data in a way that suits a specific set of analytical needs. The key is to match the chart type with the story you want the data to tell. Whether you’re showing a simple KPI, uncovering trends, or surfacing problem areas, choosing the right chart ensures your insights are clear, actionable, and impactful. In addition, based on your scenario, it can also be beneficial to get feedback from the user population on what other visuals they might find useful or what other ways they would they like to see the data.

Thanks for reading! And good luck on your data journey!