data-analyst-cn

Clean datasets and generate statistics, correlations, and visualization templates.

7|2|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/SJTU-IPADS/SkVM-data --skill data-analyst-cn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-analyst-cn
Source: https://github.com/SJTU-IPADS/SkVM-data/tree/main/skills/data-analyst-cn
Command: npx skills add https://github.com/SJTU-IPADS/SkVM-data --skill data-analyst-cn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

数据分析工作中常面临数据清洗困难、统计分析复杂、可视化与报告产出耗时的问题。本 Skill 提供统一的清洗、分析与可视化建议,帮助数据分析师、产品经理和运营快速获得可用洞察。

Core Features & Use Cases

  • 数据清洗、缺失值处理、格式化与去重,提升数据质量和可用性。
  • 统计分析与描述性统计、相关性分析,辅助洞察发现与决策支持。
  • 可视化建议与代码模板,快速生成可复用的可视化实现。
  • 报告模板与输出,便于将分析结果转化为可分享的成果。

Quick Start

加载你的数据集并让系统自动完成清洗、分析与可视化建议以生成分析报告。

Frequently Asked Questions about data-analyst-cn

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate data cleaning and missing value handling for product analytics datasets?

Automate data cleaning by loading your dataset into the system to identify data quality issues, handle missing values, format entries, and remove duplicates for product analytics workstreams.

How do I generate descriptive statistics and correlation analysis using pandas and python?

Generate descriptive statistics and correlation analysis by applying the built-in python templates to your prepared dataset, enabling quick discovery of insights and decision support.

What is the best way to create visualization guidance and reusable code templates for operations reports?

Create visualization guidance by utilizing the provided reusable Python code templates, which help quickly generate visual implementations tailored for operations reports and various data analytics workstreams.

Can I use this data analysis solution for datasets of varying formats without manual preparation?

You can use this solution for datasets of varying formats; loading your dataset triggers automated data cleaning, preparation, and analysis directly without requiring extensive manual preprocessing.

Do I need to install specific dependencies or components to run the statistical analysis templates?

No specific dependencies or components are required to run the statistical analysis templates, as the solution operates independently to apply descriptive statistics and automated cleaning logic.

Why does my data preparation workflow fail to produce shareable analysis reports from raw datasets?

Data preparation workflows fail when raw datasets contain unresolved quality issues; this solution resolves them through automated cleaning, statistical analysis, and report template generation for shareable results.