Metadata-Version: 2.1
Name: storyscience
Version: 1.4.5
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://raw.githubusercontent.com/23subbhashit/StoryTellar/8c802a003d15cd02cbc6fc6a13c187a7600dfd1b/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 analytical operations.
        It aims to provide support for business analytics and NLP purposes. It has the broader goal of becoming one of the most powerful and flexible open source data analysis / manipulation tool available in python language.
        
        ## 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
        ```
        
        ## Documentation
        The  documentation for this can be found here : [Getting Started](https://github.com/23subbhashit/StoryTellar/blob/master/documentation/Getting%20Started.md).
        
        
        
        ## Build
        
        ```
        python setup.py sdist bdist_wheel
        ```
        
        ## PYPI
        
        ```
        twine upload dist/*
        ```
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
