ironbars 0.1.0a2

Intelligent Data Visualization & EDA Assistant

Ironbars

⚠️ This is the Alpha branch, code here is untested and may break things. You can check the changelogs at Ironbars.changelogs

IronBars is a Python library that automatically analyzes tabular datasets and suggests the most suitable visualizations and preprocessing ideas. Instead of manually guessing which plots to use, IronBars guides you with clean, interpretive visual suggestions tailored to your data types and relationships.

 Transform raw datasets into meaningful visual insights through automated,
 Intelligent plot selection.

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Scope

IronBars focuses on :-

1. Focused on Auto EDA (Exploratory Data Analysis)
2. Suggests and generates suitable plots
3. Designed for structured tabular datasets (CSV / pandas DataFrame)
4. Intended for students, analysts, and ML beginners

Out of Scope

IronBars does not aim to:-

1. Replace full business intelligence platforms
2. Perform automated machine learning
3. Provide deep statistical infer
4. Act as a dashboard framework

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Installation Instructions

• Installed python version must be >=3.10

pip install ironbars

Usage

You will find the usage at Usage Guide

How IronBars Thinks

IronBars analyzes each column using structural signals:

1. Uniqueness ratio
2. Missing ratio
3. Volatility score (normalized difference)
4. Datatype detection

These signals are combined into deterministic rules to assign a semantic type to each column.