SoSciKit 0.4.0

## 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.

[](https://pepy.tech/project/soscikit) [](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/)