time-series-and-categorical-analysis SKILL.md skillA
time-series-and-categorical-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/time-series-and-categorical-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/time-series-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260426.f0ab496, committed Apr 26, 2026
- Size
- 5,744 bytes
- Repository stars
- 6,031
- License
- MIT
对时间序列或分类数据进行多维度趋势分析、百分比清洗、绩效分级建模与预测，并生成高分辨率的可视化综合报告，适用于业务指标监控与预测场景。.
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
## Skill Steps
Step1 加载并检查原始数据，配置中文字体以确保图表正常显示。
```python
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings('ignore')
# 设置中文字体，兼容不同操作系统
plt.rcParams['font.sans-serif'] = ['SimHei', 'WenQuanYi Zen Hei', 'DejaVu Sans']
plt.rcParams['axes.unicode_minus'] = False
# 加载Excel文件
file_path = 'data.xlsx'
df = pd.read_excel(file_path)
print(f"数据形状: {df.shape}")
print(f"列名: {list(df.columns)}")
```
Step2 提取时间序列或分类维度数据，处理百分比格式，并计算变化趋势。
```python
def convert_percentage(pct_str):
"""将百分比字符串转换为数值，处理空值和非字符串类型"""
if pd.isna(pct_str):
return None
if isinstance(pct_str, str) and '%' in pct_str:
try:
return float(pct_str.replace('%', ''))
except ValueError:
return None
return pct_str
time_col = '时间列' # 占位示例
target_cols = ['指标1占比', '指标2占比', '指标3占比'] # 占位示例
# 转换百分比字符串为数值并提取数据
ts_df = df[[time_col] + target_cols].copy() if time_col in df.columns else df.copy()
for col in target_cols:
if col in ts_df.columns:
ts_df[col] = ts_df[col].apply(convert_percentage)
# 计算变化趋势并识别状态
diff_col = f'{col}_变化'
…Read the whole file at its exact version.
How to install
mdr add opensensenova/sensenova-skills/time-series-and-categorical-analysis@sha256:976886734b2615beThe 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_cdwskn2c6rq5datp)
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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 (5744 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_cdwskn2c6rq5datp GET https://markdownregistry.com/api/v1/resolve?ref=opensensenova/sensenova-skills/time-series-and-categorical-analysis GET https://markdownregistry.com/api/v1/blob/976886734b2615beb385d96ef8d78eb50811d0aedc3632948a24cf6ef61dbd4b
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.