Open AccessDescriptive and distribution analysis of GitHub repository data
Author(s) -
Dinesh Rao,
Shishir Dubey,
J. Mohan Kumar,
Deepak Rao,
B. Balaji
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.12489
Subject(s) - computer science , descriptive statistics , world wide web , interface (matter) , set (abstract data type) , data science , work (physics) , database , operating system , programming language , mechanical engineering , statistics , mathematics , bubble , maximum bubble pressure method , engineering
The usage of GitHub by developers is increasing. The organizations are also using GitHub for their project development. As a huge set of users are involved, it leads researchers to analyze the GitHub data. GitHub provides the API (Application programmable interface), to collect its data related to its repository. In our work, the collected data is extensively queried and data is visualized. In this paper, a descriptive analysis is done GitHub data. The results give a lot of insight on the GitHub usage.