Metadata-Version: 2.4
Name: graph_visualizer
Version: 1.0.0
Summary: Interactive EDA graph visualizer for univariate, bivariate, multivariate, and datetime data.
Author: Ankit Kataria
Author-email: ankitsinghkataria5@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: plotly
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# ðŸ“Š GraphVisualizer

**GraphVisualizer** is a beginner-friendly Python library for interactive and guided exploratory data analysis (EDA). It supports multiple backends like Seaborn, Matplotlib, and Plotly.

## âœ¨ Features

- Univariate, Bivariate, Multivariate, and Datetime visualizations
- Supports Seaborn, Matplotlib, and Plotly
- Guided menus for user-friendly graph selection
- Save plots and build dashboards
- Great for students and educators

## ðŸš€ Quick Start

```python
from graph_visualizer import GraphVisualizer
import seaborn as sns

df = sns.load_dataset("taxis")  # or your own DataFrame
gv = GraphVisualizer(df)
gv.run()
```

## ðŸ”§ Installation

```bash
git clone https://github.com/yourusername/graph-visualizer.git
cd graph-visualizer
pip install -r requirements.txt
```

## ðŸ“„ License

This project is licensed under the MIT License.
