Pie Chart
In this article, we will explain how to create and customize a pie chart. So let's get started!
Last updated
In this article, we will explain how to create and customize a pie chart. So let's get started!
Last updated
A Pie Chart is a circular statistical graphic that displays data as slices of a whole, representing proportional relationships between categories. It is an intuitive way to compare parts of a dataset, showing how each category contributes to the total. Pie charts are commonly used in market share analysis, budget breakdowns, and survey responses to provide a quick visual representation of proportions.
Comparing parts of a whole: Ideal when each data point represents a fraction of a total (e.g., sales distribution by product category).
Showing relative proportions: Helps visualize percentages or contributions of different groups.
Highlighting key contributors: Useful when identifying dominant categories in a dataset.
Limited number of categories: Works best when displaying fewer than six categories to ensure readability.
Navigate to the Chart Type dropdown in the chart editor.
Select "Pie" from the available chart options.
Click Add Data Series and define the required fields:
Category (Slices): The variable that represents different sections of the pie (e.g., product type, department).
Measures (Size of Slices): The metric that determines the proportion of each category (e.g., revenue, percentage of total).
The chart will automatically distribute the slices based on their proportional values.
Use the Advanced Editor to refine chart background, tooltips, and labels.
The Pie Chart setup and customization options are the same as for Donut Charts and 3D Pie Charts. The Donut Chart is essentially a Pie Chart with a hollow center, making it useful for emphasizing inner content, such as total values. A 3D Pie Chart adds a three-dimensional effect for aesthetic appeal but follows the same fundamental setup. Since the core functionality remains unchanged, we will not be covering Donut or 3D Pie Charts separately, as all customization and configuration options apply across these formats.
