Metadata-Version: 2.1
Name: storyscience
Version: 1.3.7
Summary: A storyteller
Home-page: https://github.com/23subbhashit/StoryTellar/
Author: subbhashit mukherjee
Author-email: subbhashitmukherjee@gmail.com
License: MIT
Description: 
        <p align="center">
            <img src="https://github.com/23subbhashit/StoryTellar/blob/master/Welcome%20to%20Vectr%20(2).svg" width="400" height="400"><br/>
            Simple yet flexible Data Analytics tool for Data Scientists.
        </p>
        <p align="center"">
          <a href="https://github.com/23subbhashit/StoryTellar/issues"><img alt="GitHub issues" src="https://img.shields.io/github/issues/23subbhashit/StoryTellar"></a>
          <a href="https://github.com/23subbhashit/StoryTellar/network"><img alt="GitHub forks" src="https://img.shields.io/github/forks/23subbhashit/StoryTellar"></a>
          <a href="https://github.com/23subbhashit/StoryTellar/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/23subbhashit/StoryTellar"></a>
          <a href="https://github.com/23subbhashit/StoryTellar/blob/master/LICENSE"><img alt="GitHub license" src="https://img.shields.io/github/license/23subbhashit/StoryTellar"></a>
          <a href="https://badge.fury.io/py/storyscience"><img src="https://badge.fury.io/py/storyscience.svg" alt="PyPI version" height="18"></a>
        </p>
        
        ## What is it?
        
        **storyscience** is a Python package that provides flexible, and easy to use functions for various anayltical operations.
        It aims to provide support for bussiness analytics and nlp purposes.Currently , it's in the developing stage and we would 
        like to improve it further and extend its support for various platforms.
        
        ## Main Features
        Here are just a few of the things that it can provide:
        
          - Easy handling of missing data.
          - Provides summary of data and error scores of models for regression and classification.
          - Provides suggestive methods for  imputing and deleting rows and columns.
          - Support for map visuals,using plotly.
          - Provides statistical methods like zscore and iqr(interquartile range)
          - Support for categorical and numerical data plotting, using matplotlib and seaborn.
        
        ## Installation
        
        ```
        pip install storyscience
        ```
        
        ## Build
        
        ```
        python setup.py sdist bdist_wheel
        ```
        
        ## PYPI
        
        ```
        twine upload dist/*
        ```
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
