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pivot-table-cross-analysis

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利用交叉表与热力图对分类数据进行多维度占比分析，适用于奖项分布、绩效评估或市场占有率等结构化数据的清洗与可视化。

skills/sn-da-excel-workflow/capability/excel-data-analysis/pivot-table-analysis/SKILL.md

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Nov 9, 2026

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Nov 3, 2026
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Step1 对原始数据进行清洗与重构，处理 Excel 合并单元格导致的缺失值，并筛选核心分析列。
```python
import pandas as pd

def preprocess_pivot_data(file_path, target_cols=['奖项', '项目名称', '成员', '单位']):
    """
    清理并重构数据列，处理合并单元格填充。
    """
    df = pd.read_excel(file_path)
    # 映射通用列名
    df.columns = target_cols
    
    # 关键技巧：处理合并单元格。ffill 前需确保数据按原始分类顺序排列
    # 假设第一列为分类标签（如奖项名称）
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