Circularchart
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The Circular Chart is a visual tool used to represent data as segments of a circle, providing a quick overview of proportional relationships within a dataset. It is particularly effective when you need to:
Illustrate part-to-whole relationships.
Compare relative sizes of categories at a glance.
Highlight a dominant category or distribution patterns.
๐ Example Use Case
Market share analysis.
Customer segmentation by demographics.
Budget allocation or expenditure breakdown.
Survey result representation (e.g., satisfaction levels, preferences)
Circle Category: Define and display the primary dimension for data segmentation.
Enable Drill-down: Interactively explore sub-levels of data directly from the chart.
Change Date Format: Customize how dates appear in the chart labels or tooltips.
Segment Size: Control the arc size based on numerical values assigned to each category.
Add Complementary Value: Include a secondary value for context, e.g., comparison or delta.
Add User Chart Guide: Provide inline guidance to help users understand the chart.
Learn how to create a circularchart using the new design with this step-by-step guide. Explore the interactive walkthrough below to get started quickly, then dive into the full configuration reference table for in-depth details.
Chart Configuration Step-by-Step
Category
Circle category
The circle category corresponds to a column in your dataset, such as 'Product Type'.
Enable drill-down
Allows users to interactively click on a chart segment to reveal deeper data layers or subcategories.
Proportion
Segment size
Select the aggregation to use, and the column on which the aggregation will be applied
Precision
Precision determines the level of detail in how your values are displayed. By default, measures use a .2f
format, meaning they are shown with two decimal places.
Example:
A value of 3.14159
will be displayed as 3.14
when using .2f
formatting.
Unit
Unit represents the total quantity or category being measured for a KPI. It defines what the values correspond to, providing context for better interpretation.
Sentiment
Four different sentiment statuses (positive, warning, negative, neutral) can be used to color bars, enhancing visual distinction.
Note: Sentiments can be customized in the app theme.
Additional parameters
ID
Unique chart Id
Add complementary value
The complementary value is displayed in the data label, providing additional context and making it easier for viewers to interpret the data at a glance. It is possible to add a precision, an unit and a sentiment.
Add user chart guide
Lead your chart viewers through the narrative of your data.
Chart performance
Technical performance
Style Configuration
Arcs
Arcs
Customize arc color to align with your branding preferences.
Distinguish by colors
Automatically assigns different colors to each chart arc for easy visual distinction.