Individual skill
excel-bar-chart-visualization
读取多工作表Excel文件,自动处理合并单元格与数据清洗,进行交叉分组统计并生成带总计行的结果表,最后绘制支持中英文字体的美化柱状图,适用于多维度数据汇总与可视化分析。
skills/sn-da-excel-workflow/capability/excel-data-visualization/bar-chart-visualization/SKILL.md
Source commit 004a2426fa092097d65ac9233ca0bcb2be793f57
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 6,059
- Repository last updated
- Nov 3, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- 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
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
## Skill Steps
> This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.
### Step1: 数据合并与清洗
```python
combined_df = pd.concat(data_frames, ignore_index=True)
# 数据清洗:使用正则表达式统一命名
if '题型' in combined_df.columns:
combined_df['题型'] = combined_df['题型'].astype(str).str.replace('判', '判断题', regex=False)
# 处理合并单元格技巧1:前向填充
if '流程描述' in combined_df.columns: