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πŸ¦€ ClawHub

CSV Data Analyzer

by @underbench2-gif

Load, explore, clean, analyze, and visualize CSV data to provide statistical summaries, correlations, filtered views, and charts for insights.

Versionv1.0.0
Downloads1,238
Installs5
TERMINAL
clawhub install ub2-csv-data-analyzer

πŸ“– About This Skill

CSV Data Analyzer

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

What This Skill Does

This skill equips Claw with a structured approach to CSV data analysis:

1. Data Loading & Inspection β€” Read CSV files, detect column types, and display basic structure (shape, columns, sample rows) 2. Data Cleaning β€” Identify and handle missing values, duplicates, and type inconsistencies 3. Statistical Summary β€” Compute descriptive statistics (mean, median, mode, standard deviation, percentiles) for numeric columns 4. Filtering & Grouping β€” Slice data by conditions and aggregate by categories 5. Correlation Analysis β€” Find relationships between numeric variables 6. Visualization β€” Generate charts (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 dataset"
  • "Create a chart showing monthly trends from this CSV"
  • "Compare group A vs group B performance in this experiment data"
  • Requirements

  • Input 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 environment
  • Output

  • Summary statistics table
  • Key insights in plain language
  • Charts saved as PNG files when visualization is requested
  • Cleaned dataset exported as a new CSV if data cleaning was performed