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Auto Data Analyzer

该 Skill 面向 CSV/Excel 数据，提供缺失值、异常值、重复值处理，基础统计与分位数分析，直方图、箱线图、散点图、热力图，以及相关性、回归、聚类和时间序列分析，并输出 HTML 报告、PNG 图表和 CSV 统计结果。使用时需安装指定 Python 依赖并通过脚本或命令行运行。

热度 51.91

最近更新 2026-05-11 17:34:59

分类：数据依赖：代码执行 / 读写文件应用场景：数据处理 / 报告撰写 / 市场分析

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add auto-data-analyzer-chen

Metadata

name: auto-data-analyzer
description: Automated data analysis tool - Input CSV/Excel data and automatically generate comprehensive analysis reports. Includes data cleaning, statistical description, visualization, correlation analysis, and regression analysis. Ideal for rapid data analysis needs.
tags: ["data","analysis","report","visualization","automation"]
version: 1.0.0
author: chenq

auto-data-analyzer

Automated data analysis tool that generates comprehensive reports from input data.

Features

1. Data Cleaning

Missing value detection and handling
Outlier detection
Data type conversion
Duplicate value handling

2. Statistical Description

Basic statistics (mean, median, standard deviation, etc.)
Quantile analysis
Distribution visualization

3. Visualization

Histograms
Box plots
Scatter plots
Heatmaps

4. Advanced Analysis

Correlation analysis
Regression analysis
Clustering analysis
Time series analysis

Usage

Installation

pip install pandas numpy matplotlib seaborn scikit-learn

Basic Usage

from analyzer import DataAnalyzer

analyzer = DataAnalyzer('data.csv')
analyzer.clean()
analyzer.describe()
analyzer.visualize()
analyzer.report()  # Generate HTML report

Command Line

python main.py data.csv --output report.html

Output

HTML analysis report
PNG charts
CSV statistical results

Use Cases

Business data analysis
Market research reports
User behavior analysis
Sales data analysis