excel-statistical-viz-large-file SKILL.md skillA
excel-statistical-viz-large-file from opensensenova/sensenova-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add opensensenova/sensenova-skills/excel-statistical-viz-large-file@git:20260426.f0ab496Pins git:20260426.f0ab496 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- opensensenova/sensenova-skills
- Path
skills/sn-da-excel-workflow/capability/excel-data-visualization/scatter-plot-visualization/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 3,865 bytes
- Repository stars
- 6,031
- License
- MIT
对 Excel 数据进行多维度统计分析与可视化。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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
# 保留数字、小数点和负号，移除空格及非法字符
cleaned = re.sub(r'[^\d\.\-]', '', str(value))
try:
return float(cleaned)
except ValueError:
return None
df['x_val'] = df['target_col_x'].apply(clean_numeric_string)
df['y_val'] = df['target_col_y'].apply(clean_numeric_string)
# 过滤无效数据
df_clean = df.dropna(subset=['x_val', 'y_val']).copy()
```
Step2 执行多维度统计分析。计算分类占比、均值、标准差，并构建交叉分析表（crosstab/pivot），为可视化提供数据支撑。
```python
# 分类统计与占比
stats_summary = df_clean.groupby('group_col')['y_val'].agg(['count', 'mean', 'std', 'min', 'max'])
stats_summary['percentage'] = (stats_summary['count'] / stats_summary['count'].sum()) * 100
# 添加总计行
total_row = pd.DataFrame(df_clean[['y_val']].agg(['count', 'mean']).T)
total_row.index = ['Total']
# 交叉分析示例
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/excel-statistical-viz-large-file@sha256:40cd1c2706f009b1The line at the top of this page pins the label git:20260426.f0ab496, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_nogf2oxrnbfrtssn)
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Versions
The registry has recorded 1 version of this file, committed on Apr 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3865 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
opensensenova/sensenova-skills · 6,031 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nogf2oxrnbfrtssn GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/excel-statistical-viz-large-file GET https://markdownregistry.com/api/v1/blob/40cd1c2706f009b1d9013961ed491d4ce6dcf174ae9941ae17b4fc7da75178eb
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.