Individual skill
excel-statistical-viz-large-file
对 Excel 数据进行多维度统计分析与可视化。
skills/sn-da-excel-workflow/capability/excel-data-visualization/scatter-plot-visualization/SKILL.md
Source commit 004a2426fa092097d65ac9233ca0bcb2be793f57
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 3, 2026
- License
- MIT
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# excel_statistical_visualization
> This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.
Step1 数据清洗与标准化。提取目标分析列,处理合并单元格(ffill),并利用正则表达式或类型转换清理数值字段,确保分析数据集的准确性。
```python
import re
# 假设 target_col_x 和 target_col_y 是分析目标
# 处理合并单元格导致的缺失值
df['group_col'] = df['group_col'].fillna(method='ffill')
def clean_numeric_string(value):
if pd.isna(value): return None