Data Visualization Web Application

This is a web application built with Flask for visualizing datasets uploaded by users. Users can upload CSV files, select features, and choose from various plot types to visualize their data.

Features User Authentication: Users can register, log in, and log out securely.

Dataset Management: Users can upload CSV datasets, which are stored securely.

Visualization: Users can select datasets, choose x and y features, and select plot types for visualization.

Interactive Plots: Various plot types are supported, including scatter plots, line plots, histograms, box plots, and pair plots.

Prerequisites: Python 3.6+ Flask Pandas Matplotlib Seaborn Bootstrap (for front-end styling)

Usage

Register: Create a new account to access the dashboard.

Log in: Log in with your credentials.

Upload Dataset: Navigate to the upload page to upload CSV datasets.

Visualize Data: Navigate to the visualize page to select a dataset, x and y features, and plot type for visualization.

Log out: Log out from your account.

Contributing: Contributions are welcome! Please fork the repository and create a pull request with your improvements.

License: This project is licensed under the MIT License - see the LICENSE file for details.