When to Use a Pie Chart—and When Not to

Updated on May 22, 2025

Pie charts are one of the most recognizable and user-friendly ways to visualize data. As a type of graph designed to show how different parts make up a whole, pie charts are ideal for representing proportions, percentages, and categorical distributions. Whether you're displaying budget allocations, market share, or survey results, a pie chart offers a clean, intuitive format that helps audiences quickly grasp the key message.

However, pie charts are not always the best choice for every dataset. Knowing when to use a pie chart—and when to avoid it—is essential for clear and accurate data presentation.

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When to Use a Pie Chart

1. Visualizing Part-to-Whole Relationships

Pie charts are best used when you need to show how various parts contribute to a whole. Each slice of the pie represents a proportion, making it easy to see how categories compare at a glance. For example, if you're analyzing traffic sources for your website, a pie chart can clearly show what share comes from direct visits, organic search, social media, and referrals.

2. Comparing a Small Number of Categories

Pie charts work well when you have fewer than six categories. With just a few slices, the differences between segments are visually clear. For example, a pie chart showing smartphone market share helps highlight which brands dominate the market and which are less competitive.

3. Communicating Simple Data to a Broad Audience

One of the biggest advantages of pie charts is their simplicity. Because they’re so widely recognized, they’re ideal for audiences with limited data experience. If you’re presenting financial allocations or survey responses in a report or slideshow, a pie chart can deliver the message quickly and effectively.

When Not to Use a Pie Chart

1. Too Many Categories

Pie charts lose clarity when too many slices are included. If you have more than six or seven categories, the chart can become cluttered and hard to interpret. In these cases, a bar chart or stacked bar chart—which handles multiple values more cleanly—may be a better option.

2. When Precision Matters

The human eye struggles to compare angles accurately, especially when slices are close in size. If your goal is to compare exact values, such as product sales or revenue figures, a bar chart is typically more effective for conveying the data clearly.

3. Highlighting Small Differences

Pie charts are not great at showing subtle variations. If your data involves small differences—say, market shares that are only a few percentage points apart—those variations might be lost in a pie chart. Bar or line charts are better suited to show these finer details.

4. Displaying Trends Over Time

Pie charts are static; they represent a single moment. If your data changes over time, such as monthly growth or yearly revenue, a line chart or area chart is more appropriate. These types of graphs help viewers track patterns and trends across a timeline.

Conclusion

Pie charts are a powerful tool—but only when used wisely. They shine when showing part-to-whole relationships, comparing a few categories, or presenting simple data to a general audience. But when your dataset is complex, requires precision, includes small differences, or involves time-based trends, other types of graphs like bar or line charts will communicate your message more effectively.

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For more tips, examples, and templates, check out our full step-by-step guide to creating pie charts and learn how AI can enhance your data storytelling with AI Graph Maker.

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