Line vs Bar vs Pie vs Radar: Which Chart Type to Use in Unreal Engine

Picking the right chart is the hard part, not drawing it

When you decide to put a graph on a HUD, a stats screen or a debug overlay, the question that actually slows you down is not how to render it - it is which chart type to use in Unreal Engine for the data you have. Plot the wrong shape and a clear trend turns into noise: a pie chart of values that change over time, a line chart of unordered categories, a bar chart where you really wanted a single proportion. The drawing is the easy bit; choosing the encoding is where most HUDs go wrong.

Fast Chart Widgets removes the drawing problem entirely. It is a runtime data-visualisation plugin for UE5 that adds a single Blueprintable UMG widget, UFastChartWidget, which draws every chart type in Slate inside NativePaint with no per-project drawing code and no image assets. That leaves you free to focus on the only decision that matters: matching the chart type to the question your player or your team is trying to answer.

The plugin supports eight chart types through one enum, EFastChartChartType: Line, Area, Scatter, Bar, Pie, Donut, Polar Area and Radar. This guide walks through what each one is for, the exact builder method that creates it, and the type-specific options that only make sense for that shape. Everything below is grounded in the plugin's actual API.

The eight chart types and what each one answers

Each chart type answers a different shape of question, and the fastest way to choose is to name the question first. Line and Area both show how a value moves across a continuous axis - frame time over the last few seconds, score over a match - with Area filling beneath the line when you want to emphasise volume or accumulation rather than the precise path.

Scatter plots two independent values against each other to expose a relationship or a cluster, with no implied ordering between points. Bar compares discrete categories side by side - damage by weapon, sales by region - and is the right default whenever your X axis is a set of labels rather than a continuous range.

Pie and Donut both show parts of a whole, so reach for them only when your values sum to something meaningful, like an inventory split or a resource breakdown, and only when you have a handful of slices rather than dozens. Donut is simply a pie with a hole in the middle, which gives you a centre to place a total or a label.

Polar Area is a circular cousin of the bar chart where each category is a wedge and the value drives the radius, useful for cyclical or directional data. Radar plots several axes from a shared centre to compare a profile across attributes at a glance - the classic character-stats spider chart, or an attribute comparison between two builds. Use the table below as a quick lookup from question to chart type to builder method.

A note on slice counts and crowding: Pie, Donut and Radar all degrade quickly as you add categories. Two or three slices read instantly; a dozen become an unreadable ring. When you find yourself with many categories, a Bar chart almost always communicates better than forcing them into a circle.

The builder method per type

Whichever shape you choose, the code path is the same and only the builder call changes. Add a UFastChartWidget to your UMG canvas, then in the Event Graph call CreateChartBuilder to get a UFastChartChartBuilder, and call the one factory method for the type you want. The builder and series objects are retained on the widget in ActiveChartBuilders, so Blueprint callers do not need to promote them to keep them alive past garbage collection.

The eight factory methods map one-to-one onto the eight types: CreateLineChart, CreateAreaChart, CreateScatterChart, CreateBarChart, CreatePieChart, CreateDonutChart, CreatePolarAreaChart and CreateRadarChart. Pick the one that matches your answer from the previous section and the chart frame, axes and defaults appropriate to that type are set up for you.

Feeding data is identical across every type. Call CreateSeries on the builder, then push points with the series API on UFastChartChartSeries: AddDataPoint(X, Y) for a single point, AddDataPointLabeled when your X is a category name, or AddBulkDataPointsXY and AddBulkDataPointsLabeled to load a whole set at once. SimulateRandomData is handy while you are laying out a HUD and have no live source yet.

Because the data API does not change between types, swapping a Bar chart for a Line chart while you experiment is usually a one-line edit: change the Create*Chart call and leave your series and styling alone.

Type-specific options: stacking, inner radius and auto-normalize

Most styling in Fast Chart Widgets is shared - per-axis titles and colours, multiple grid layers, custom ticks with unit prefixes and suffixes, legends in eight positions, themes with a series palette. But a few options only exist because a particular shape needs them, and these are the settings worth knowing before you commit to a type.

Bar charts add category padding, which controls the gap between bars or groups, and stacking, which lays multiple series on top of one another in each category instead of side by side - the difference between comparing parts within a total and comparing totals across categories. If you need to show composition per category, stacking is the option that makes Bar do the job a stacked-area or pie cannot.

Pie and Donut share an inner radius ratio, a start angle and a clockwise toggle. The inner radius ratio is what turns a Pie into a Donut: set it above zero to open the centre. The start angle and clockwise controls let you align the first slice where you want it, which matters when a specific category should always begin at the top.

Radar exposes axis labels and an auto-normalize option. Auto-normalize rescales each axis so attributes measured on different ranges still produce a readable, balanced shape rather than one axis dwarfing the rest - the difference between a meaningful profile and a spike. When you compare attributes that do not share units, leave auto-normalize on.

Across all types you can also control ranges independently of shape: SetFitToDataY and SetFitToDataX auto-scale to the data, while SetManualYRange and SetManualXRange pin the bounds; MinAutoRangeSpan floors the span so a near-flat series does not violently auto-zoom. For real-time charts, the animation and series-smoothing modes keep an updating line readable as new points arrive.

From a template to a live data feed

If you would rather not configure a chart by hand, Fast Chart Widgets ships 34 pre-configured templates as DataAssets, organised into six marketplace categories - Performance, Gameplay, Multi-Data, Visual Styles, Minimal and Other. Open a Widget Blueprint and click the Chart Template Marketplace button the editor module adds to the Widget Blueprint toolbar, pick a category, and a pre-styled UFastChartWidget drops onto your canvas already set to a sensible type.

Performance templates can auto-collect engine metrics - FPS, FrameTime, Memory, GameThreadTime, RenderThreadTime and GPUTime - so a debug overlay is largely a matter of applying a template, calling StartDataCollection and later StopDataCollection. For your own values, use the Custom source and feed it with AddDataPoint.

The data you chart often comes from outside the game. If you are pulling JSON from a REST API to drive a leaderboard bar chart or a live line graph, EasyHTTP gives you Blueprint nodes for GET and POST requests that you can parse and hand straight to a chart series. When you are documenting which chart goes on which screen, Markdown 4 Blueprints keeps per-Blueprint design notes in the editor, and Simple PDF Viewer can surface a static report or handbook in-world when an interactive chart is more than you need. All four sit in the same UE5 toolset.

Start by naming the question, choose the chart type from the table, call its builder method, and reach for the type-specific option only when the shape demands it. That order - question first, shape second, code last - is the fastest route to a HUD that reads correctly the first time.

Chart type selector: question, type and builder method

All eight types share the same data API; only the Create* call and a few type-specific options change.

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