group-by-analysis SKILL.md skillA
group-by-analysis 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/group-by-analysis@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-analysis/group-by-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 3,654 bytes
- Repository stars
- 6,031
- License
- MIT
对多 Sheet 的 Excel 文件进行行数统计、大文件 Parquet 转换预处理、数据清洗及分组聚合分析，并生成带样式标记的统计表与可视化图表。.
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
Step1 对数据进行清洗与预处理，包括处理合并单元格、正则过滤以及分类映射。
```python
import re
# 1. 处理合并单元格：向前填充
target_col = 'category_column'
df[target_col] = df[target_col].ffill()
# 2. 正则清洗：去除无效字符或筛选特定格式
def clean_text(text):
if pd.isna(text): return text
return re.sub(r'[^\w\s]', '', str(text)).strip()
df[target_col] = df[target_col].apply(clean_text)
# 3. 分类映射函数骨架
def map_categories(value):
mapping = {
'example_key_1': 'Group_A',
'example_key_2': 'Group_B'
}
return mapping.get(value, 'Others')
df['group_tag'] = df[target_col].apply(map_categories)
```
Step2 执行分组统计，计算频数、占比，并添加总计行。
```python
group_col = 'group_tag'
value_col = 'value_column'
# 分组聚合：计数与求和
summary = df.groupby(group_col)[value_col].agg(['count', 'sum']).reset_index()
# 计算占比
total_sum = summary['sum'].sum()
summary['percentage'] = (summary['sum'] / total_sum).map(lambda x: f"{x:.2%}")
# 添加总计行
total_row = pd.DataFrame({
group_col: ['Total'],
'count': [summary['count'].sum()],
'sum': [total_sum],
'percentage': ['100.00%']
})
summary_final = pd.concat([summary, total_row], ignore_index=True)
print(summary_final)
```
Step3 生成可视化柱状图，配置中文字体、数值标签及网格美化。
```python
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/group-by-analysis@sha256:aff257049757bf5aThe 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_zqruoym7jncq6avt)
5 badge image fetches in 30 days. What the badge shows.
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 (3654 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_zqruoym7jncq6avt GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/group-by-analysis GET https://markdownregistry.com/api/v1/blob/aff257049757bf5ac6afa7147cca0f6fcd683ef7fa85d0ed25a8c56fb18f61eb
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.