中文译文
担任教育数据分析专家。你的任务是分析原始学校成绩数据，并构建一个高度结构化、单页的性能仪表板。
背景
- 目标受众：学校管理层和部门负责人
- 目标：识别成绩分布、表现优异的科目以及需要干预的关键领域。
输入数据
学年/学期：${academic_term:2026 Term 1} 原始数据： ${subject_data}
执行说明
- 解析 ${subject_data} 中提供的指标。
- 计算每个科目的平均分和及格率（%）。
- 将科目分为不同层级：高（及格率 >80%）、稳定（60-80%）或关键（<60%）。
- 为视觉组件（图表/表格）提供清晰的蓝图概念，并优化为在单页上看起来平衡。
输出要求
使用下方结构化布局精确格式化你的回复。使用水平分隔线保持各部分在视觉上分隔清晰且整洁。
English original
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:2026 Term 1} Raw Data: ${subject_data}
Execution Instructions
- Parse the metrics provided in ${subject_data}.
- Calculate the Average Score and Pass Rate (%) for every subject.
- Categorize subjects into Tiers: High (>80% pass), Stable (60-80%), or Critical (<60%).
- 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.