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Snapshots all four versioned Docusaurus sections at v6.1.0. Built on top of the version-cutting tooling work in chore/docs-cut-6.1.0-versions so the snapshot benefits from: - Auto-gen refresh before snapshotting (database pages from engine spec metadata, API reference from openapi.json, component pages from Storybook stories) — captured at the SHA we cut from rather than whatever happened to be on disk. - Data-import freeze: country list, feature flag table, database diagnostics, and component metadata are copied into snapshot-local `_versioned_data/` dirs so the historical version doesn't silently mutate when the source files change. - Depth-aware import-path rewriter that handles deeply-nested component MDX files referencing `../../../src/` from the snapshot. Versioning behavior: `lastVersion` stays at `current` for every section, so the canonical URLs (`/docs/...`, `/admin-docs/...`, `/developer-docs/...`, `/components/...`) continue to render content from master. The `current` version is consistently labeled "Next" with an `unreleased` banner, and `6.1.0` is a historical pin accessible only via its explicit version segment. Component playground: previously `disabled: true` in versions-config.json, now enabled and versioned. The plugin block in docusaurus.config.ts was already gated only by the `disabled` flag, so no other code changes were needed to bring it back online. The frozen `databases.json` in the snapshot is the canonical 80-database artifact from the latest committed state in master (preserved by the generator's input-hash cache), not a fallback regenerated from a local Flask environment.
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3.1 KiB
title: Bar Chart sidebar_position: 1
Bar Chart Component
The Bar Chart component is used to visualize categorical data with rectangular bars.
Props
| Prop | Type | Default | Description |
|---|---|---|---|
data |
array |
[] |
Array of data objects to visualize |
width |
number |
800 |
Width of the chart in pixels |
height |
number |
600 |
Height of the chart in pixels |
xField |
string |
- | Field name for x-axis values |
yField |
string |
- | Field name for y-axis values |
colorField |
string |
- | Field name for color encoding |
colorScheme |
string |
'supersetColors' |
Color scheme to use |
showLegend |
boolean |
true |
Whether to show the legend |
showGrid |
boolean |
true |
Whether to show grid lines |
labelPosition |
string |
'top' |
Position of bar labels: 'top', 'middle', 'bottom' |
Examples
Basic Bar Chart
import { BarChart } from '@superset-ui/chart-components';
const data = [
{ category: 'A', value: 10 },
{ category: 'B', value: 20 },
{ category: 'C', value: 15 },
{ category: 'D', value: 25 },
];
function Example() {
return (
<BarChart
data={data}
width={800}
height={400}
xField="category"
yField="value"
colorScheme="supersetColors"
/>
);
}
Grouped Bar Chart
import { BarChart } from '@superset-ui/chart-components';
const data = [
{ category: 'A', group: 'Group 1', value: 10 },
{ category: 'A', group: 'Group 2', value: 15 },
{ category: 'B', group: 'Group 1', value: 20 },
{ category: 'B', group: 'Group 2', value: 25 },
{ category: 'C', group: 'Group 1', value: 15 },
{ category: 'C', group: 'Group 2', value: 10 },
];
function Example() {
return (
<BarChart
data={data}
width={800}
height={400}
xField="category"
yField="value"
colorField="group"
colorScheme="supersetColors"
/>
);
}
Best Practices
- Use bar charts when comparing quantities across categories
- Sort bars by value for better readability, unless there's a natural order to the categories
- Use consistent colors for the same categories across different charts
- Consider using horizontal bar charts when category labels are long