CSV Data Analyzer — CSV Data 分析器

CSV Data 分析器

A 技能 that enables Claw to load, explore, analyze, and visualize CSV data设置s, providing statistical insights and answering questions about the data.

What This 技能 Does

This 技能 equips Claw with a structured 应用roach to CSV data analysis:

Data Loading & Inspection — Read CSV files, 检测 column types, and display basic structure (shape, columns, sample rows) Data 清理ing — Identify and handle missing values, duplicates, and type inconsistencies Statistical Summary — Compute descriptive statistics (mean, median, mode, standard deviation, percentiles) for numeric columns 过滤器ing & Grouping — Slice data by conditions and 聚合 by categories Correlation Analysis — Find relationships between numeric variables 可视化 — 生成 图表s (bar, line, scatter, histogram) to illustrate patterns How to Use

Provide a CSV file and ask Claw to analyze it:

"Analyze this sales data and tell me which product category has the highest revenue" "Find outliers in the temperature column of this data设置" "创建 a 图表 showing monthly trends from this CSV" "Compare group A vs group B performance in this experiment data" Requirements 输入 must be a valid CSV file (comma-separated by default; other delimiters can be specified) Python with pandas and matplotlib should be avAIlable in the 环境 输出 Summary statistics table Key insights in plAIn language 图表s saved as PNG files when 可视化 is 请求ed 清理ed data设置 导出ed as a new CSV if data 清理ing was performed