Metadata-Version: 2.1
Name: outlier-detection
Version: 1.0.6
Summary: Detect outliers from pandas dataframe using various statistical tools
Home-page: UNKNOWN
License: UNKNOWN
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: seaborn (==0.11.1)
Requires-Dist: matplotlib (==3.2.2)

# Outlier Detection

[![Downloads](https://pepy.tech/badge/outlier-detection)](https://pepy.tech/project/outlier-detection)
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Detect outliers from pandas dataframe using various statistical tools
# INSTALLATION AND USAGE
```python
!pip install outlier-detection
from outlier_detection import detect_outliers_using_iqr
import pandas as pd

# Pandas Dataframe
data = pd.read_csv('titanic.csv')

# Detect outliers using IQR Method
# On overall data
detect_outliers_using_iqr(df, 'Fare')

# Based on factors data
detect_outliers_using_iqr(data, 'Fare', is_factor=True, factor='Sex')
```

**Github Repository: https://github.com/bilalProgTech/outlier-detection.git**

**Tutorial Data Credit: https://www.kaggle.com/c/titanic**

