Metadata-Version: 1.0
Name: SoSciKit
Version: 0.4.0
Summary: Social Science Kit - Open Source Software for Social Science
Home-page: https://github.com/scarsellifi/soscikit
Author: Marco Scarselli
Author-email: scarselli@gmail.com
License: MIT
Description-Content-Type: text/markdown
Description: 
                  # SoSciKit
                    ## Social Science Kit - Open Source Software for Social Science
                    
                    SoSciKit is a web application for simplified data analysis based on Python scientific libraries and Flask.
                    The web application allows to use the python libraries through a graphical interface even to those who do not know programming language. At the moment the application allows to perform monovariate, bivariate, cross tabulation and k-mean classification operations. In addition, it allows to recode categorical variables and create typologies.
                    
                    [![Downloads](https://pepy.tech/badge/soscikit)](https://pepy.tech/project/soscikit)
                    [![Downloads](https://pepy.tech/badge/soscikit/week)](https://pepy.tech/project/soscikit/week)
                    
                    ## Installation and dependencies
                    You need a python interpeter installed on PC / Server. 
                    You need Python 3 (tested 3.6 - 3.7) to run this package. Other dependencies can be found in the requirements files
                    
                    ### Using pip
                    
                    You can install using the pip package manager by running
                    
                        pip3.x install soscikit
                    
                    ## Usage
                    
                    You can start SoScikit by running
                    
                        python3.x -m soscikit
                    
                    it's start server and open your browser on localhost http://127.0.0.1:5555/
                    
                    
                    ## How to contribute
                    
                    The package is actively maintained and developed as open-source software. If SoSciKit was helpful or interesting to you, you might want to get involved. There are several ways of contributing and helping. If you would like to be a industry partner or sponsor, please [drop us a line](mailto:scarselli@gmail.com).
                    
                    ## Demo
                    
                    You can try a [DEMO](http://soscikit.eu.pythonanywhere.com/)
                  
                  
Keywords: Social Science,Software,Data,Analysis
Platform: UNKNOWN
