Individual skill
category-filtering-and-difficulty-analysis
对Excel数据进行自定义分类统计、交叉分析与可视化,并基于多维度指标(如文本长度、术语密度、正则匹配等)进行综合评分与分级,适用于多类别数据分布统计及文本内容难度/质量评估场景。
skills/sn-da-excel-workflow/capability/excel-data-filtering/category-filtering/SKILL.md
Source commit 004a2426fa092097d65ac9233ca0bcb2be793f57
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- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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- 6,063
- Repository last updated
- Nov 3, 2026
- License
- MIT
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- agent Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- ai-assistant Repository topic
- data-analysis Repository topic
- document-processing Repository topic
- office-automation Repository topic
- presentation-slides Repository topic
- engineering Derived category
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## Skill Steps
### Step1 加载数据与环境配置
```python
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import re
# 配置中文字体,确保图表正常显示
plt.rcParams['font.sans-serif'] = ['SimHei', 'DejaVu Sans', 'WenQuanYi Zen Hei']
plt.rcParams['axes.unicode_minus'] = False
def load_excel_data(file_path: str, skip_rows: int = 2):