gotablestats

gotablestats

gotablestats is a fast and flexible command-line tool for generating detailed statistical summaries from CSV and TSV files. It supports sampling for large datasets, making it ideal for quick exploratory data analysis (EDA) without loading entire files into memory.

Features

• 📊 Detects column data types and distributions
• 📁 Supports CSV and TSV files (auto-detect by extension)
• 🔍 Smart sampling with configurable sample size and confidence level
• 📈 Provides quality metrics for your tabular data
• ⚡ Efficient processing for large files with file size limit

Installation

Precompiled go-critic binaries can be found at releases page.

You can build gotablestats from source:

git clone https://github.com/WindowGenerator/gotablestats.git
cd gotablestats
go build -o gotablestats

Then move it to your $PATH, for example:

mv gotablestats /usr/local/bin/

Usage

gotablestats --input <file> [flags]

Required

• -i, --input: Input file (CSV or TSV)

Optional Flags

Examples

# Basic usage on a CSV file
gotablestats --input data.csv

# Use a larger sample size for a TSV file
gotablestats -i data.tsv -s 5000

# Adjust confidence level and number of sampling positions
gotablestats -i data.csv -c 0.99 -p 10

# Avoid full processing if file exceeds 50MB
gotablestats -i huge.csv -m 52428800

Output

The tool prints a human-readable report to stdout, including:

• Column names and inferred data types
• Value distribution (e.g., min/max, unique count)
• Missing value stats
• Quality checks based on sampling

How It Works

• Determines file format from extension (.csv or .tsv)
• Samples rows from random positions to ensure fair representation
• Computes descriptive statistics and structural info
• Avoids memory overload by limiting file size for full parsing

Limitations

• Currently supports only .csv and .tsv formats
• Assumes UTF-8 encoding
• Designed for tabular files where the first row is a header

Development

This CLI tool is built using:

• Go
• Cobra for CLI scaffolding
• Custom readers and statistical analyzers in the internal/stats package

License

MIT © 2025 Window Generator