Pie chart with a center cut-out.
A donut chart is a modern and visually appealing way to show how different categories contribute to a whole. Similar to a pie chart but with an open center, a donut chart makes comparison easier and offers space for labels or totals in the middle. If you are looking for a fast and simple donut chart maker, this guide explains what a donut chart is, when to use it, and how to create one instantly.
A donut chart displays each category as a slice of a circular ring. The size of each slice represents its percentage of the total. The empty center improves readability and allows room for additional information.
Donut charts help you:
* Visualize category proportions
* Highlight dominant segments
* Communicate simple distributions
* Make charts cleaner and more modern than standard pie charts
They are great for presentations, dashboards, and quick insights.
A good donut chart tool should allow you to:
* Paste or upload your data
* Automatically calculate percentages
* Create clean, color coded slices
* Customize labels, center text, and legends
* Export the chart for reports or presentations
Most donut charts only require two columns: category and value.
A donut chart is ideal when you want to:
* Show how parts make up a whole
* Compare categories by size
* Highlight one or two dominant segments
* Use a visually clean alternative to pie charts
* Add a metric or title in the center
Common use cases include:
* Market share
* Budget breakdowns
* Survey responses
* Sales by category
* Device or platform distribution
* Customer demographics
If you have too many categories, a bar chart or treemap may work better.
Instead of formatting slices or calculating percentages manually, you can generate a donut chart instantly with AI.
In Better Analyst, just paste your dataset and type:
"Create a donut chart based on this data."
The tool analyzes your values, builds the slices, and produces a clean donut chart in seconds.
Because they are simple and visually appealing, donut charts are used in almost every field. Examples include:
* Marketing performance breakdowns
* Traffic sources in analytics
* Financial spending categories
* Product mix
* Survey or poll distributions
* Operational metrics by segment
If you need to show category proportions quickly and clearly, a donut chart is a perfect choice.
A donut chart maker helps you turn your data into a clean, modern visualization in seconds. Whether you are presenting business metrics, analyzing category performance, or summarizing survey results, donut charts make your insights easy to understand. With AI powered tools, creating a donut chart is as simple as pasting your data and requesting the chart you want.
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Filled line chart showing magnitude over time.
Compares values across categories using bars.
Displays a normal distribution curve.
Shows median, quartiles and outliers in data
Scatter plot with bubble size representing a third variable.
Shows daily values across a calendar layout.
Financial chart showing open/high/low/close prices.
Colors regions on a map based on values.
Mixes bars and lines to compare different metrics.
Shows smoothed distribution of numeric values.
Compares two sets of categories side-by-side.
Visualizes steps in a process or workflow.
Shows how often values appear in ranges.
Visualizes stages of a process with decreasing values.
Shows tasks over time with start/end dates.
Visualizes data points on a world or country map.
Shows values using colors across a grid.
Shows distribution of numeric values grouped in bins.
Displays trends over time using connected points.
Bar-style financial chart for open/high/low/close.
Ordered bars showing biggest factors with cumulative line.
Shows parts of a whole as slices of a circle.
Circular chart showing values in radial segments.
Compares multiple variables on a circular axis.
Shows flows or transfers between stages.
Displays relationships between two numeric variables.
Smooth curved version of a line chart.
Shows how multiple series add up over time.
Shows category totals broken into sub-categories.
Line graph that changes in steps instead of curves.
Shows hierarchical data as nested rectangles.
Shows how values add/subtract step-by-step.
Compare your options
Open a neutral research prompt in the AI tool you already use. Compare capabilities, limitations, and fit before you choose.
AI answers can be incomplete. Check source links, current pricing, and product documentation before deciding.