Metadata-Version: 2.4
Name: smartiqr
Version: 0.1.1
Summary: Automatic IQR-based outlier detection library
Author: Vishakha
Author-email: badgujarvishakha8@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: pandas
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: license
Dynamic: license-file
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# SmartIQR 📊

SmartIQR is a simple Machine Learning utility library to automatically calculate IQR (Interquartile Range) and detect outliers from data.

It works with Python lists and Pandas Series.

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## 🚀 Installation (Local)

Clone the repository:

git clone https://github.com/vishakha-python772200/smartiqr.git

Then go inside folder and install:

pip install .

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## 📦 Usage

from smartiqr import analyze_iqr

data = [10, 12, 14, 15, 18, 100]

result = analyze_iqr(data)

print(result)

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## ✅ Output Includes

- Q1 (First Quartile)
- Q3 (Third Quartile)
- IQR Value
- Lower Bound
- Upper Bound
- Outliers List

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## 👩‍💻 Author

Vishakha Badgujar

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## 📄 License

MIT License
