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  • documents are updated
Description of change
  • modify histogram docs

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Summary of Changes

Hello @interstellarmt, 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 significantly enhances the clarity and guidance for users creating histograms within the G2 charting library. It introduces a structured approach to histogram construction, emphasizing best practices for mark types and data transformations, and updates existing examples to reflect these improvements.

Highlights

  • New Documentation Section: A comprehensive section titled "How to Create a Histogram" has been added to both English and Chinese documentation, detailing the essential components for histogram creation in G2.
  • Rect Mark Emphasis: The documentation now explicitly recommends using the rect mark over the interval mark for histograms, providing clear reasons for this choice, such as its support for x and x1 channels.
  • binX Transform Explanation: A dedicated explanation of the binX transform has been included, outlining its role in data binning, aggregation, and output of interval positions.
  • Code Example Updates: All existing histogram code examples have been refactored to use the chart.options() method and rect mark, ensuring consistency with the new guidelines.
  • Content Streamlining: The "Probability Distribution Analysis with Density Histogram" example has been removed from the documentation to streamline content.
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Code Review

This pull request does a great job of updating the histogram documentation to use the modern chart.options API and rect mark. The changes make the examples more consistent and easier to follow.

However, I have a few concerns:

  1. A key example for creating density histograms has been removed from both documents. This is a significant loss of valuable content for users.
  2. There's a minor inconsistency in one of the new code snippets, which still uses the old API style.
  3. The stroke style has been removed from all examples, which alters the visual appearance by removing borders between bars. It would be good to clarify if this was intended.

My detailed comments provide specific suggestions for these points.

- The choice of bin number affects the display of distribution details; more bins can show more detailed distribution patterns
- Fewer bins can highlight the main distribution trends

Example 3: **Probability Distribution Analysis with Density Histogram**
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high

The example for 'Probability Distribution Analysis with Density Histogram' has been removed. Density histograms are an important and common chart type, and this example was valuable for users. Was this removal intentional? If not, please consider restoring it and updating it to use the new rect mark and chart.options API. Creating a density histogram typically involves a normalizeY transform after binX.

- 分箱数量的选择会影响分布的细节展示,较多的箱数可以显示更细致的分布情况
- 较少的箱数则可以突出主要分布趋势

例子 3: **密度直方图进行概率分布分析**
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high

The example for '密度直方图进行概率分布分析' (Probability Distribution Analysis with Density Histogram) has been removed. This is a valuable example. Was this removal intentional? If not, please consider restoring it and updating it to use the new rect mark and chart.options API.

Comment on lines +52 to +58
```javascript
.transform({
type: 'binX',
y: 'count', // Count the number in each interval
thresholds: 20, // Optional: specify the number of bins
})
```
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medium

The 'Basic Usage' example for the binX transform uses the old chained API style (.transform({...})). This is inconsistent with the declarative chart.options style (transform: [{...}]) used in the 'Complete Example' and throughout the rest of the updated documentation. To avoid confusion, it would be better to show this snippet in the declarative style as well.

Suggested change
```javascript
.transform({
type: 'binX',
y: 'count', // Count the number in each interval
thresholds: 20, // Optional: specify the number of bins
})
```
// In chart.options
transform: [
{
type: 'binX',
y: 'count', // Count the number in each interval
thresholds: 20, // Optional: specify the number of bins
}
]

Comment on lines +151 to +154
style: {
fill: '#1890FF',
fillOpacity: 0.9,
stroke: '#FFF',
});
},
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medium

In this and other examples, the stroke: '#FFF' style has been removed. This removes the border between the histogram bars. While histograms technically have no gaps, a thin stroke often improves readability by clearly separating adjacent bars. Was this visual change intentional? If not, I'd suggest adding the stroke back for better visual clarity.

Suggested change
style: {
fill: '#1890FF',
fillOpacity: 0.9,
stroke: '#FFF',
});
},
style: {
fill: '#1890FF',
fillOpacity: 0.9,
stroke: '#FFF',
},

Comment on lines +52 to +58
```javascript
.transform({
type: 'binX',
y: 'count', // 统计每个区间的数量
thresholds: 20, // 可选:指定分箱数量
})
```
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medium

The '基本用法' (Basic Usage) example for the binX transform uses the old chained API style (.transform({...})). This is inconsistent with the declarative chart.options style (transform: [{...}]) used in the '完整示例' (Complete Example) and throughout the rest of the updated documentation. To avoid confusion, it would be better to show this snippet in the declarative style as well.

Suggested change
```javascript
.transform({
type: 'binX',
y: 'count', // 统计每个区间的数量
thresholds: 20, // 可选:指定分箱数量
})
```
// 在 chart.options 中
transform: [
{
type: 'binX',
y: 'count', // 统计每个区间的数量
thresholds: 20, // 可选:指定分箱数量
}
]

Comment on lines +151 to +154
style: {
fill: '#1890FF',
fillOpacity: 0.9,
stroke: '#FFF',
});
},
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medium

Similar to the English documentation, the stroke: '#FFF' style has been removed in this example. This removes the border between histogram bars. A thin stroke often improves readability. Was this visual change intentional? If not, I'd suggest adding the stroke back.

Suggested change
style: {
fill: '#1890FF',
fillOpacity: 0.9,
stroke: '#FFF',
});
},
style: {
fill: '#1890FF',
fillOpacity: 0.9,
stroke: '#FFF',
},

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