Descriptive and distribution analysis of GitHub repository data

  • Authors

    • Dinesh Rao Manipal Academy of Higher Education, Manipal
    • Shishir Dubey Manipal Academy of Higher Education, Manipal
    • Mohan Kumar J Manipal Academy of Higher Education, Manipal
    • Deepak Rao Manipal Academy of Higher Education, Manipal
    • Balaji B Manipal Academy of Higher Education, Manipal
    2018-06-26
    https://doi.org/10.14419/ijet.v7i3.12489
  • Bigdata and Data Analytics, GitHub, GitHub Statistics, Predictive Model, Visualization.
  • 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.

     

  • References

    1. [1] Forbes, Bernard Marr, (December 2016), https://www.forbes.com/sites/bernardmarr/2016/02/12/big-data-35-brilliant-and-free-data-sources-for-2016/#19b807dfb54d

      [2] Hadoop Illuminated, (2018), http://hadoopilluminated.com/hadoop_illuminated/Public_Bigdata_Sets.html

      [3] Denzyre, (08 Feb 2016, Last Update Made On January 22, 2018) https://www.dezyre.com/article/types-of-analytics-descriptive-predictive-prescriptive-analytics/209

      [4] Halo Business Intelligence, (2018), https://halobi.com/blog/descriptive-predictive-and-prescriptive-analytics-explained/

      [5] K. Finley. (2012). “What Exactly Is GitHub Anyway?,†TechCrunch, 14-Jul-2012. [Online]. Available:https://techcrunch.com/2012/07/14/what-exactly-is-github-anyway/. [Accessed: 20-Apr-2017].

      [6] Shimura, Makoto, Fumiaki Monma, Shunji Mitsuyoshi, Masaki Shuzo, Taishi Yamamoto, and Ichiro Yamada.(2010), "Descriptive analysis of emotion and feeling in voice." In Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on, pp. 1-4. IEEE. https://doi.org/10.1109/NLPKE.2010.5587794.

      [7] Ab Manan, Siti Khadijah, Jaizah Othman, and Asmady Shahadan. (2011), "Descriptive analysis on the pattern of SME financing in Malaysia." In Sustainable Energy & Environment (ISESEE), 2011 3rd International Symposium & Exhibition in, pp. 139-147. IEEE. https://doi.org/10.1109/ISESEE.2011.5977122.

      [8] Song, Sa-Kwang, Donald J. Kim, Myunggwon Hwang, Jangwon Kim, Do-Heon Jeong, Seungwoo Lee, Hanmin Jung, and Wonkyung Sung. (2013), "Prescriptive analytics system for improving research power." In Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on, pp. 1144-1145. IEEE. https://doi.org/10.1109/CSE.2013.169.

      [9] Abbasi, Ahmed, Weifeng Li, Victor Benjamin, Shiyu Hu, and Hsinchun Chen. (2014) "Descriptive analytics: Examining expert hackers in web forums." In Intelligence and Security Informatics Conference (JISIC), 2014 IEEE Joint, pp. 56-63. IEEE.

      [10] Elbanhawy, Eiman Y. (2014) "Descriptive analysis of e-mobility system." In Environmental Friendly Energies and Applications (EFEA), 2014 3rd International Symposium on, pp. 1-7. IEEE. https://doi.org/10.1109/EFEA.2014.7059941.

      [11] Hussain, Shujaat, and Sungyoung Lee. (2015), "Visualization and descriptive analytics of wellness data through Big Data." In Digital Information Management (ICDIM), 2015 Tenth International Conference on, pp. 69-71. IEEE. https://doi.org/10.1109/ICDIM.2015.7381878.

      [12] BabiÄ, FrantiÅ¡ek, Jaroslav Olejár, Zuzana Vantová, and Ján ParaliÄ. (2017), "Predictive and descriptive analysis for heart disease diagnosis." In Computer Science and Information Systems (FedCSIS), 2017 Federated Conference on, pp. 155-163. IEEE. https://doi.org/10.15439/2017F219.

  • Downloads

  • How to Cite

    Rao, D., Dubey, S., Kumar J, M., Rao, D., & B, B. (2018). Descriptive and distribution analysis of GitHub repository data. International Journal of Engineering & Technology, 7(3), 1193-1197. https://doi.org/10.14419/ijet.v7i3.12489