vizura 0.1.9

Tool for Data Analysis

Vizura

Welcome to the Vizura package, a comprehensive tool for analyzing and visualizing basic statistics.

Vizura is a data analysis and visualization tool developed using Python and Streamlit. It provides valuable insights into datasets by generating summary statistics and offering interactive visualizations.

Installation

To install Vizura, execute the following command:

pip install git+https://github.com/ash-sha/vizura.git #on Project Root directory

or use the standard installation via PyPI:

pip install vizura

Usage Example

import vizura

# Example usage of Vizura
data = ...  # Load your dataset
vizura.numerical(data) # Generates a dashboard displaying summary statistics for numerical columns in the dataset.
vizura.categorical(data) # Displays a dashboard of summary statistics for categorical columns.
vizura.calculate_correlations(data) # Computes correlations between filtered numerical columns using Pearson, Kendall, and Spearman methods.
vizura.plot_correlation(data) # Visualizes the correlation matrices for Pearson, Kendall, and Spearman.

For a live demo and example statistics, you can explore the demo at: https://vizura.streamlit.app

Contributing

We welcome contributions to improve Vizura! To contribute:

1. Fork the repository
2. Create a new branch (git checkout -b feature-name)
3. Make your changes
4. Commit your changes (git commit -am 'Add new feature')
5. Push to your branch (git push origin feature-name)
6. Create a pull request