A **Donut chart is a variation of a pie chart where categories are represented as slices of a ring, with a hollow center, and corresponding values determine the proportional size of each slice**. This format is particularly useful when displaying parts of a whole, providing a clear and visual representation of distributions. It allows users to quickly understand proportions and compare segments efficiently.

# **Creating a Donut Chart**

**To add a new chart:**

1. Within the table, click on the "+" sign above the search bar.

2. From the drop-down menu, select Chart view.

3. A box will appear to enter a name for the view—choose a descriptive name that reflects its content.

4. Select who can edit:

   * **Collaborative** for team access and editing.

   * **Personal** for individual use. *Note: You can't add it in dashboards.*

5. Click "Add".

6. Click **Chart type**.

7. From the list, choose **Donut Chart**.

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# **Building a Donut Chart**

To create a Donut chart, users must configure the following components:

**Configuring a Donut Chart: Example - Risk Impact Analysis**

To illustrate how to create a Donut chart, let's build one that categorizes risks based on their impact level.

* For the x-**axis** (category)**:** we will select "Impact" to show the distribution of risk levels.

* For the y-axis (**values)**: we will choose "Titles" with the **Count** measure to calculate the total number of risks per impact level.

**1. Define the x-axis (Category/Slice)**

From the drop-down list, choose a column to represent different sections of the Donut.

In this example, we use "Impact" to categorize risks into different impact levels (e.g., Low, Medium, High).

**2. Define the Values (Amounts)**

From the drop-down list, choose a column to represent numerical values.

We select "Title", applying the **Count** measure to calculate the total number of risks within each impact level.

This setup ensures a structured and meaningful representation of risk distribution, making it easier to assess and mitigate high-impact risks.

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# **Available Measures Based on Column Types**

**For Numeric Columns**

* **Count** – Counts the number of entries in the selected column.

* **Sum** – Adds up all numerical values.

* **Avg** – Calculates the average of the values.

* **Min/Max** – Retrieves the smallest or largest value in the dataset.

**For Non-Numeric Columns**

* **Count ONLY** – Non-numeric columns can only be counted.

***Number formatting always follows the column setup within the table***

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# **Design Customization**

**Donut properties**

**Corner Radius:**

* Users can modify the **corner radius** to create rounded slice edges for a smoother appearance.

**Gap:**

* Users can adjust the **gap** between slices to enhance visibility and separate sections more clearly.

**Show Legend:**

* Displays a legend for better readability, especially useful when a breakdown is applied.

**Inner Radius:**

* Users can modify the inner radius by adjusting the central empty space.

**Color Customization:**

* Users can change the color palette or customize slice colors individually to match specific preferences.

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# **Filtering a Donut Chart**

Within the view, click on the funnel icon in the view bar.

A box will appear; click on "Add filter."

Three fields will be displayed:

1. **Choose a Column**

2. **Choose a Condition**

3. **Choose a Value to Filter by**

The filter will be applied directly to the view, updating the displayed data based on the selected criteria.

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# **Field Availability & Limitations**

## **Unavailable Fields for Both X-Axis & Y-Axis**

* Long text

* File

* Multiple select

* Collaborator

* Link to table

* Lookup

* Formula containing lookup output

* AI

* Formula containing AI output

## **Additional X-Axis Restrictions**

* Number

* Rating

* Count

*By integrating these features, Donut charts provide a structured and visually appealing way to represent categories, enabling users to analyze distributions and make data-driven decisions efficiently.*