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docs: cut 6.1.0 versions for docs, admin_docs, developer_docs, components
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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<!--
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Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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-->
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---
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title: Bar Chart
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sidebar_position: 1
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---
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# Bar Chart Component
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The Bar Chart component is used to visualize categorical data with rectangular bars.
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## Props
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `data` | `array` | `[]` | Array of data objects to visualize |
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| `width` | `number` | `800` | Width of the chart in pixels |
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| `height` | `number` | `600` | Height of the chart in pixels |
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| `xField` | `string` | - | Field name for x-axis values |
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| `yField` | `string` | - | Field name for y-axis values |
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| `colorField` | `string` | - | Field name for color encoding |
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| `colorScheme` | `string` | `'supersetColors'` | Color scheme to use |
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| `showLegend` | `boolean` | `true` | Whether to show the legend |
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| `showGrid` | `boolean` | `true` | Whether to show grid lines |
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| `labelPosition` | `string` | `'top'` | Position of bar labels: 'top', 'middle', 'bottom' |
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## Examples
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### Basic Bar Chart
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```jsx
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import { BarChart } from '@superset-ui/chart-components';
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const data = [
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{ category: 'A', value: 10 },
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{ category: 'B', value: 20 },
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{ category: 'C', value: 15 },
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{ category: 'D', value: 25 },
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];
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function Example() {
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return (
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<BarChart
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data={data}
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width={800}
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height={400}
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xField="category"
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yField="value"
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colorScheme="supersetColors"
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/>
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);
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}
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```
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### Grouped Bar Chart
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```jsx
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import { BarChart } from '@superset-ui/chart-components';
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const data = [
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{ category: 'A', group: 'Group 1', value: 10 },
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{ category: 'A', group: 'Group 2', value: 15 },
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{ category: 'B', group: 'Group 1', value: 20 },
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{ category: 'B', group: 'Group 2', value: 25 },
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{ category: 'C', group: 'Group 1', value: 15 },
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{ category: 'C', group: 'Group 2', value: 10 },
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];
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function Example() {
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return (
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<BarChart
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data={data}
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width={800}
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height={400}
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xField="category"
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yField="value"
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colorField="group"
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colorScheme="supersetColors"
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/>
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);
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}
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```
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## Best Practices
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- Use bar charts when comparing quantities across categories
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- Sort bars by value for better readability, unless there's a natural order to the categories
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- Use consistent colors for the same categories across different charts
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- Consider using horizontal bar charts when category labels are long
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