graph-visualizer 1.0.0

Interactive EDA graph visualizer for univariate, bivariate, multivariate, and datetime data.

📊 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.

✨ 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

🚀 Quick Start

from graph_visualizer import GraphVisualizer
import seaborn as sns

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

🔧 Installation

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

📄 License

This project is licensed under the MIT License.