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statistical-distribution-and-outlier-analysis

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执行数值型数据的分布分析与异常值检测，支持通过正则表达式从文本中提取误差项并生成高分辨率的箱线图与直方图报告。

skills/sn-da-excel-workflow/capability/excel-data-visualization/histogram-visualization/SKILL.md

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Nov 9, 2026

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Nov 3, 2026
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MIT

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Step 1 加载数据并进行预处理，配置中文字体与环境参数
```python
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import re

# 设置中文字体，兼容不同环境
plt.rcParams['font.sans-serif'] = ['SimHei', 'WenQuanYi Zen Hei', 'DejaVu Sans']
plt.rcParams['axes.unicode_minus'] = False

# 加载数据并处理合并单元格
file_path = 'input_data.xlsx'
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