chore: adjust the strength x for beeSwarm

[lxfu1]

Checklist

• npm test passes
• benchmarks are included
• commit message follows commit guidelines
• documents are updated

Description of change

[gemini-code-assist]

Summary of Changes

Hello @lxfu1, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request refines the beeSwarm visualization by adjusting its layout algorithm to remove the x-axis attraction force, which will alter how elements cluster horizontally. It also standardizes the data used in examples and tests by introducing a static JSON dataset, and simplifies the visual encoding by removing the size channel, leading to a cleaner and more predictable beeswarm layout.

Highlights

• Beeswarm X-axis Force Adjustment: The forceX strength in the beeswarm mark's simulation was set to 0, effectively removing the horizontal attraction force and allowing for a different distribution along the x-axis.
• Static Data Integration: Random data generation was replaced with a new static bee.json dataset for both tests and examples, ensuring consistent and reproducible visualization outcomes.
• Visual Encoding and Legend Refinements: The size encoding and its associated scale were removed from the beeswarm configurations, and the color legend was updated to disable shape and position it at the top center for improved presentation.
• Test Activation: The alphabetBeeswarm test is now active, indicating it's ready for execution and part of the regular test suite.

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[gemini-code-assist]

Code Review

This pull request adjusts the strength of the x-force in the beeswarm simulation and updates the test and demo data to use a static dataset instead of random data. The change to the force simulation seems correct for achieving the desired beeswarm effect. However, I've noticed some areas for improvement in the data handling within the test and demo files, specifically regarding data duplication and inefficient data transformation logic. My comments provide suggestions to refactor this for better maintainability and performance.

[gemini-code-assist]

This file duplicates a large amount of data (200+ lines) that is also present in __tests__/data/bee.json. To improve maintainability and avoid inconsistencies, this data should not be duplicated. Instead, you should import it from a shared location. For example, you could move __tests__/data/bee.json to a shared data directory and import it in both the test and this demo file.

[gemini-code-assist]

The data transformation logic can be simplified and made more efficient. Using Array.prototype.map for side effects (pushing into an external array) is an anti-pattern, and using any[] for data is not type-safe.

A more idiomatic and safer approach is to use flatMap to produce the new array directly. This improves readability, performance, and type safety.

Suggested change

	const data: any[] = [];
	Data.map((item: Record<string, number>, i) => {
	Object.keys(item).map((key) => {
	data.push({
	x: key,
	y: item[key],
	});
	});
	});
	const data = Data.flatMap((item) => Object.entries(item).map(([key, value]) => ({ x: key, y: value })));

[gemini-code-assist]

Similar to the test file, this data transformation logic can be simplified. Using Array.prototype.map for side effects is an anti-pattern. Using flatMap would be more idiomatic and efficient.

Suggested change

	const data = [];
	DATA.map((item) => {
	Object.keys(item).map((key) => {
	data.push({
	x: key,
	y: item[key],
	});
	});
	});
	const data = DATA.flatMap((item) => Object.entries(item).map(([key, value]) => ({ x: key, y: value })));