Descriptive and distribution analysis of GitHub repository data | Zendy

D.C. Rao | Zendy; Shishir Dubey | Zendy; Mohan Kumar J | Zendy; Deepak Rao | Zendy; B. Bhaskar | Zendy

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Descriptive and distribution analysis of GitHub repository data

Author(s) -

D.C. Rao,

Shishir Dubey,

Mohan Kumar J,

Deepak Rao,

B. Bhaskar

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.

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