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11 changes: 8 additions & 3 deletions docs/en/part12/ch41_visual_reasoning_tool_data_engineering.md
Original file line number Diff line number Diff line change
Expand Up @@ -101,9 +101,14 @@ The dataset's shark-attack example illustrates subchart partitioning, question c

#### Case A.3.1 Physical Layers of One Compound Infographic

![Figure 41-4: Shark-attack compound infographic example](../../images/part12/ch39_04_shark_attack_infographic.jpg)

*Figure 41-4. Example of a multi-chart infographic sample from the dataset (Shark Attacks), consisting of four distinct subcharts covering three categories of statistics: historical shark-attack county ranking in the United States, state-level shark attacks in the last ten years, and average annual accidental deaths in the United States.*
<div style="display: flex; gap: 4px; align-items: center;">
<img src="../../images/part12/ch39_where-the-most-shark-attacks-occur-in-the-united-states_1.jpg" height="300">
<img src="../../images/part12/ch39_where-the-most-shark-attacks-occur-in-the-united-states_2.jpg" height="300">
<img src="../../images/part12/ch39_where-the-most-shark-attacks-occur-in-the-united-states_3.jpg" height="300">
<img src="../../images/part12/ch39_where-the-most-shark-attacks-occur-in-the-united-states_4.jpg" height="300">
</div>

*Figure 41-4. Example of a multi-chart infographic sample from the dataset (Shark Attacks), consisting of four distinct subcharts covering three categories of statistics: historical shark-attack county ranking in the United States, state-level shark attacks in the last ten years, and average annual accidental deaths in the United States. The original figure is vertically elongated and hard to read as a whole; it is thus divided into horizontally aligned subfigures.*

The example is one integrated science infographic. Its internal regions belong to different chart types, statistical scopes, and data dimensions, while sharing the page title and side annotations:

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11 changes: 8 additions & 3 deletions docs/zh/part12/ch41_visual_reasoning_tool_data_engineering.md
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@@ -1,6 +1,6 @@
# 第41章:视觉推理数据工程:图表证据、医学图像与工具调用轨迹

<div class="chapter-authors">徐霖(Lin Xu);陈昕宇(Xinyu Chen)</div>
<div class="chapter-authors">徐霖(Lin Xu);陈新宇(Xinyu Chen)</div>

## 摘要

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#### 案例A.3.1 单张复合信息图的子图分层结构

![图41-4:多图表信息图样本(鲨鱼袭击)](../../images/part12/ch39_04_shark_attack_infographic.jpg)
<div style="display: flex; gap: 4px; align-items: center;">
<img src="../../images/part12/ch39_where-the-most-shark-attacks-occur-in-the-united-states_1.jpg" height="300">
<img src="../../images/part12/ch39_where-the-most-shark-attacks-occur-in-the-united-states_2.jpg" height="300">
<img src="../../images/part12/ch39_where-the-most-shark-attacks-occur-in-the-united-states_3.jpg" height="300">
<img src="../../images/part12/ch39_where-the-most-shark-attacks-occur-in-the-united-states_4.jpg" height="300">
</div>

*图 41-4:多图表信息图样本(鲨鱼袭击)。该信息图包含四个独立子图,内容涉及美国历史累计鲨鱼袭击县域排行榜、美国近 10 年各州鲨鱼袭击汇总统计、全美年均意外死亡人数统计。*
*图 41-4:多图表信息图样本(鲨鱼袭击)。该信息图包含四个独立子图,内容涉及美国历史累计鲨鱼袭击县域排行榜、美国近 10 年各州鲨鱼袭击汇总统计、全美年均意外死亡人数统计。原图纵向幅面远大于横向幅面,直接呈现可读性不佳,故拆解为多张子图横向排布展示。*

案例原图为一张一体化科普信息图,内部被天然划分为四大独立子图分区,四个子图分属不同图表类型、不同统计口径、不同数据维度,同框排布、共用页面标题与侧边注释:

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