Data Visualization on GitHub Repository Parameters Using Elastic Search and Kibana

J. Mohan Kumar, Shishir Dubey, B. Balaii, Dinesh Rao, Deepak Rao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Data Visualization makes data mean more through storytelling. Any data will have an inside story when it is addressed with relevant query. In this paper, GitHub data is collected, cleansed and visualized for its repository parameters on various questions. GitHub being the platform for many developers is not only used for version controlling their project but also for sharing it. Through this technique the inside story and the use of GitHub is seen.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Trends in Electronics and Informatics, ICOEI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages554-558
Number of pages5
ISBN (Electronic)9781538635704
DOIs
Publication statusPublished - 29-11-2018
Event2nd International Conference on Trends in Electronics and Informatics, ICOEI 2018 - Tirunelveli, India
Duration: 11-05-201812-05-2018

Publication series

NameProceedings of the 2nd International Conference on Trends in Electronics and Informatics, ICOEI 2018

Conference

Conference2nd International Conference on Trends in Electronics and Informatics, ICOEI 2018
CountryIndia
CityTirunelveli
Period11-05-1812-05-18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Signal Processing

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  • Cite this

    Mohan Kumar, J., Dubey, S., Balaii, B., Rao, D., & Rao, D. (2018). Data Visualization on GitHub Repository Parameters Using Elastic Search and Kibana. In Proceedings of the 2nd International Conference on Trends in Electronics and Informatics, ICOEI 2018 (pp. 554-558). [8553755] (Proceedings of the 2nd International Conference on Trends in Electronics and Informatics, ICOEI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOEI.2018.8553755