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Donut Chart

Emphasize large differences in part-to-whole relationships in your data

Written by Peter Novosel


Plan Availability

All plan types

Permissions

Solution Creators and Workspace Admins: Add, configure, and manage Donut Charts.

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Overview

A Donut Chart presents the same information as a Pie Chart, representing percentage or proportionality of values. The key difference is that a Donut Chart features a hole in the center, making it visually distinct.


When to Use a Donut Chart

  • Part-to-Whole Comparison: Ideal for showing the proportional breakdown of a dataset.

  • Highlighting Large Differences: Provides a clear visual distinction between small and large categories.

  • Displaying Fewer Categories: Best suited for 2 to 4 categories for readability.

When Not to Use a Donut Chart

  • Avoid if comparing more than 4 or 5 categories—Pie Charts are better suited.

  • Not ideal for tracking changes over time—use Line or Area Charts instead.

  • If exact value comparison is needed, consider Bar or Column Charts.


Configuring Donut Chart Saved Views

1. Adding a Donut Chart

  1. Create a New Chart Saved View.

  2. Select "Donut Chart" as the Chart Type.

  3. Specify Values for the Chart.

  4. (Optional) Select a "Group By" Field.

Donut Chart Type

Select Donut Chart under Chart Settings to get started with your configuration.

2. Specifying Donut Chart Values

  • Select a Numeric Field (e.g., Number, Currency) or count occurrences of a Text/List Field.

  • Available Aggregation Options:

    • Sum – Adds all values together.

    • Avg – Computes the average value.

    • Min – Displays the smallest value.

    • Max – Displays the largest value.

  • Single Value and an Optional Group By: Choose a field for grouping slices.

  • Multiple Values with NO Group By: Displays independent values without grouping.

    Note: If you choose to add multiple values to your Donut, click Add New to include additional fields like this (note that the Group By selector is disabled and displays a locked icon:
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3. Grouping Data

  • If selecting a Single Value, a Group By field can be applied (Text, Date, or List fields only).

  • If selecting Multiple Values, Group By is disabled.
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4. Chart Total

  • Displays the total value of the donut chart.

  • You can choose to calculate the total for a specific field, with options for SUM, MIN, MAX, and AVG values.
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5. Dynamic Filter

  • Set filters for data that can change over time with a single click, such as status, priority, or numeric fields.
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6. Advanced Options

  • Provides additional customization, including the ability to show data labels on the chart for better readability.
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Configuring Donut Chart Widgets

Donut Charts can also be used within dashboards.
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  1. Open the Dashboard View and click "Add Widget."

  2. Select "Donut Chart" from the widget options.

  3. Configure Widget Settings:

    • Widget Name: Define a title for clarity.

    • Table Selection: Saved Views are configured in the context of a specific Table, but widgets live at the Solution level. Start your configuration by picking which Table contains the data you want on your chart.
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  4. Click "Add Widget" to finalize placement on your dashboard.

Note: You can also filter data by specific criteria within the widget view. To learn more, visit this article.


Practical Use Cases and Scenarios

1. Category Composition

Scenario: A business wants to visualize product category sales distribution.

Solution: Use a Donut Chart to highlight the breakdown of sales by product type.

Outcome: Quickly identifies dominant product categories.
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2. Emphasizing a Small Fraction

Scenario: A company wants to show that a particular segment accounts for only a small fraction of the market.

Solution: Use a Donut Chart to emphasize the small slice compared to the whole.

Outcome: Enhances the visual impact of minor segments in a dataset.
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3. Comparing a Few Key Categories

Scenario: A marketing team needs to show customer preferences between a few select products.

Solution: A Donut Chart is used to compare preferences among 3 major product lines.

Outcome: Provides a clear view of the dominant product and customer trends.

4. Highlighting a Key Statistic

Scenario: A company wants to show the percentage of revenue generated by their top-selling product compared to all others.

Solution: A Donut Chart displays the top product as a large portion, with remaining products grouped as "Other."

Outcome: Emphasizes the importance of a single high-performing product.

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