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Social Science Kit - Open Source Software for Social Science

Project 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.

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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.

Demo

You can try a DEMO

Project details


Download files

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Files for SoSciKit, version 0.3.3
Filename, size File type Python version Upload date Hashes
Filename, size SoSciKit-0.3.3-py3-none-any.whl (794.8 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size SoSciKit-0.3.3.tar.gz (759.7 kB) File type Source Python version None Upload date Hashes View hashes

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