Scatter and statistical

The Scatter and statistical family contains 14 renderer-backed chart variants. Use this page as the entry point for choosing the right variant, then open the variant page for the screenshot, data shape, Rust API notes, and example code.
The chart family is still ordinary Fission UI. Each variant is constructed from typed Rust data, participates in layout and theme decisions, and can be driven by app state, reducers, resources, jobs, or services just like any other widget.
Candlestick with movement screenshot

Variants

Chart
Data shape
Use when
Rows of open, close, low, high values.
Use it for market and range-over-time data.
Ordered label/value pairs.
Use it for sales or onboarding funnels.
Vec<(value, size)>.
Use it when a second axis adds noise.
Vec<(value, size)>.
Use it for event density and distributions.
OHLC rows.
Use it for intraday or short-range market views.
Five-number summary rows.
Use it when distribution matters more than averages.
Vec<(x, y, size)>.
Use it for three-dimensional business comparisons.
Vec<Vec<f32>> observations.
Use it for multidimensional comparison.
Five-number summary rows.
Use it for process quality and batch comparisons.
Vec<Vec<f32>> observations.
Use it for filtering and comparing profiles.
Ordered label/value pairs.
Use it when stage drop-off matters.
Vec<(risk, return, exposure)>.
Use it for portfolio-style comparisons.
Vec<(f32, f32)>.
Use it for correlation and clustering.
Vec<(f32, f32)> plus effect scatter styling.
Use it to make exceptions visible.

Choosing within this family

Start with the user's question, not the visual effect. Pick the simplest variant that makes the answer clear, add interaction only when it reduces work for the user, and keep animation purposeful enough that it explains a change rather than decorating the page.

Authoring from a Fission component

Use this reference page as the chart expression inside ordinary Fission component conversion. The chart is a Widget, so it can sit inside a Card, Grid, Scroll, responsive page section, or any other layout container.
use fission::prelude::*;
use fission::charts::{Axis, Chart, LineSeries};

pub struct ScatterAndStatisticalChart;

impl From<ScatterAndStatisticalChart> for Widget {
    fn from(_: ScatterAndStatisticalChart) -> Widget {
        Chart::new()
            .title("Scatter and statistical")
            .x_axis(Axis::category(vec!["A", "B", "C"]))
            .y_axis(Axis::value())
            .series(vec![LineSeries::new("Series").data(vec![1.0, 2.0, 3.0]).into()])
            .into()
    }
}
Keep expensive data loading outside component conversion. A reducer, job, service, or server route should prepare the typed chart data, then the component should read that state and construct the chart deterministically.

Options, accessibility, and diagnostics

Area
What to decide
How to verify
Data shape
Keep source rows in typed Rust structs, then map them into the series type shown in the example.
Unit test the mapping separately from rendering.
Options
Choose axes, legends, labels, animation, and interaction based on the user's task.
Add a screenshot test when changing visual behavior.
Accessibility
Provide a clear title and adjacent summary text for important trends or outliers.
Inspect the generated semantics and make sure the chart is understandable without color alone.
Failure handling
Render an empty, loading, or error state before constructing the chart if data is unavailable.
Test empty data, partial data, and failed fetches.
Performance
Prefer summarized or windowed data for very large datasets; keep full raw history in the data layer.
Profile frame time and interaction latency with representative data volumes.
Fission
A cross-platform, GPU-accelerated user interface framework for Rust. MIT licensed.
Copyright (c) 2026 Fission
Ready to use today. Widget APIs are expected to remain stable; some runtime and shell APIs may change before 1.0.0.
Fission 0.7.0