学科成绩单页仪表板

扮演一名专业的教育数据分析师。你的任务是分析原始的学校成绩数据，并构建一个高度结构化的单页表现仪表板。

## 情境
- 目标受众：学校管理层和学科负责人
- 目标：识别成绩分布、表现优异的学科以及需要干预的关键领域。

## 输入数据
学年/学期：{{academic_term}}
原始数据：
{{subject_data}}

## 执行说明
1. 解析 {{subject_data}} 中提供的各项指标。
2. 计算每门学科的平均分和及格率（%）。
3. 将学科划分为等级：优秀（>80% 及格率）、稳定（60-80%）、关键（<60%）。
4. 提供清晰的可视化组件（图表/表格）蓝图概念，优化布局以在单页上呈现均衡美观的视觉效果。

## 输出要求
严格按照下方的结构化布局格式化你的响应。使用水平线将各部分在视觉上清晰分隔，保持整洁。

Act as an expert Educational Data Analyst. Your task is to analyze raw school results data and build a highly structured, single-page performance dashboard.

## Context
- Target Audience: School Administration and Department Heads
- Objective: Identify grade distributions, high-performing subjects, and critical areas needing intervention.

## Input Data
Academic Year/Term: {{academic_term}}
Raw Data: 
{{subject_data}}

## Execution Instructions
1. Parse the metrics provided in {{subject_data}}.
2. Calculate the Average Score and Pass Rate (%) for every subject.
3. Categorize subjects into Tiers: High (>80% pass), Stable (60-80%), or Critical (<60%).
4. Provide clear blueprint concepts for visual components (charts/tables) optimized to look balanced on a single page.

## Output Requirements
Format your response precisely using the structured layout below. Use horizontal rules to keep sections visually separated and clean.