Metadata-Version: 2.1
Name: insightpy
Version: 0.0.4
Summary: A data profiling library for in-depth data analysis.
Home-page: https://github.com/habib-z/insightpy
Author: habib-z
Author-email: my.email@gmail.com
License: MIT
Project-URL: homepage, https://github.com/habib-z/insightpy
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=2.2.2
Requires-Dist: setuptools>=75.1.0
Requires-Dist: click>=8.1.7
Requires-Dist: matplotlib>=3.9.2
Requires-Dist: seaborn>=0.13.2
Requires-Dist: numpy>=1.26.4
Requires-Dist: scikit-learn>=1.5.1
Requires-Dist: scipy>=1.13.1
Provides-Extra: dev
Requires-Dist: pytest>=6.0; extra == "dev"
Requires-Dist: flake8>=3.8; extra == "dev"

# InsightPy

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```markdown
 ⚠️ Notice: Project Under Development
```
**InsightPy is currently in development and not ready for production use. Please avoid installing or using it until a stable version is released.**

## Data Profiler
This is a data profiling tool that provides quick insights into your dataset.

### Features:
- Summary statistics (mean, median, standard deviation)
- Missing value analysis
- Recommend Different transformation and Encoding and feature interaction based on various statistical analysis 
- Correlation analysis
- Histogram and scatter plot visualizations

### Installation:
```bash
pip install insightpy
```

### Usage:
```python
df=pd.read_csv("./data.csv")
insightpy.analyze(df,column_name)
```

More features and UI will be added soon!
