Automatic IQR-based outlier detection library
Project description
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.
🚀 Installation (Local)
Clone the repository:
git clone https://github.com/vishakha-python772200/smartiqr.git
Then go inside folder and install:
pip install .
📦 Usage
from smartiqr import analyze_iqr
data = [10, 12, 14, 15, 18, 100]
result = analyze_iqr(data)
print(result)
✅ Output Includes
- Q1 (First Quartile)
- Q3 (Third Quartile)
- IQR Value
- Lower Bound
- Upper Bound
- Outliers List
👩💻 Author
Vishakha Badgujar
📄 License
MIT License
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