microeda 0.2.0

Ultra-lightweight micro EDA (exploratory data analysis) tool for small datasets

microeda

microeda is an ultra-lightweight Python library for Exploratory Data Analysis (EDA) on small datasets. It provides quick insights into your data with minimal setup—detecting column types, summarizing distributions, spotting missing values, outliers, and exploring pairwise relationships.

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✨ Features

• Detect column types: numeric, categorical, boolean, datetime, text, or IDs
• Summarize numeric columns: mean, std, quartiles, missing values, outliers
• Summarize categorical columns: top values, unique counts
• Summarize datetime columns: min, max, missing values
• Quick text analysis: token counts, most frequent words
• Missing value patterns and pairwise missing correlations
• Outlier detection: IQR and Z-score methods
• Pairwise hints for correlations and associations (Pearson, Cramer's V, Mutual Information)
• Command-line interface (CLI) for generating reports in Markdown or HTML

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📦 Installation

Install via PyPI:

pip install microeda

Or install from source:

git clone https://github.com/SaptarshiMondal123/microeda.git
cd microeda
pip install .

Usage

Python API

import pandas as pd
from microeda import analyze

df = pd.read_csv("your_data.csv")
report = analyze(df, name="My Dataset")

# View summaries
print(report["summaries"])
# View column types
print(report["column_types"])
# Missing values and pairwise hints
print(report["missingness"])
print(report["pairwise_hints"])

CLI

Generate a Markdown report directly from the terminal:

microeda path/to/data.csv --style md --out report.md

Options:

--style: md (Markdown) or html (HTML)

--out: output file path

Contributing

Contributions are welcome! Feel free to submit issues or pull requests.

• Fork the repo

• Create a new branch (git checkout -b feature-name)

• Make your changes

• Run tests (pytest)

• Submit a pull request

License

MIT License © 2025 Saptarshi Mondal

Links

GitHub: https://github.com/SaptarshiMondal123/microeda

PyPI: https://pypi.org/project/microeda/