Acta Scientific Computer Sciences

Research Article Volume 4 Issue 3

Data Analysis Using Pandas Library of Python

Rupal Snehkunj1* and Khushboo Vachiyatwala2

1Department of Computer Science, Sarvajanik University, India
2Department of Computer Science, VNSG University, India

*Corresponding Author: Rupal Snehkunj, Department of Computer Science, Sarvajanik University, India.

Received: November 25, 2021; Published: February 25, 2022

Reprints View PDF Related Articles

Abstract

This research paper mainly focuses on usage of Pandas library of python. This rich library provides various integrated support for analysis of data. It is useful for grouping queries, graphical design of data in tabular format. This library is foundational layer for future statistical computing of data in python through various Pandas API. The work is researched with structure data set file accessing various formats as xls, csv, pdf and many more. The work is implemented on randomly created employee database for performing various operations and data visualization in Python using pandas library.


Keywords: Pandas; NumPy; Matplotlib; Scipy

References

  1. Stančin Igor and Alan Jović. "An overview and comparison of free Python libraries for data mining and big data analysis”. 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE (2019).
  2. McKinney Wes. "Pandas: a foundational Python library for data analysis and statistics”. Python for High Performance and Scientific Computing 9 (2011).
  3. Kumar Rakesh. "Future for scientific computing using Python”. International Journal of Engineering Technologies and Management Research 2 (2015): 30-41.
  4. Hoyer Stephan and Joe Hamman. "xarray: ND labeled arrays and datasets in Python”. Journal of Open Research Software1 (2017).
  5. Mitrpanont Jarernsri., et al. "A study on using Python vs Weka on dialysis data analysis”. 2017 2nd International Conference on Information Technology (INCIT). IEEE (2017).
  6. https://rabernat.github.io/research_computing/pandas.html
  7. https://www.simplilearn.com/why-python-is-essential-for-data-analysis-article
  8. https://towardsdatascience.com/a-guide-to-pandas-and-matplotlib-for-data-exploration-56fad95f951c
  9. S van der Walt., et al. "The NumPy Array: A Structure for Efficient Numerical Computation". in Computing in Science and Engineering 13.2 (2011): 22-30.
  10. Sessa Jadran and Dabeeruddin Syed. "Techniques to deal with missing data”. 2016 5th international conference on electronic devices, systems and applications (ICEDSA). IEEE (2016).

Citation

Citation: Rupal Snehkunj and Khushboo Vachiyatwala. “Data Analysis Using Pandas Library of Python”. Acta Scientific Computer Sciences 4.3 (2022): 37-41.

Copyright

Copyright: © 2022 Rupal Snehkunj and Khushboo Vachiyatwala. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

Indexed In




News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is December 25, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"

Contact US





+91 9182824667

     info@acta-scientific.com

Creative Commons License Open Access by Acta Scientific is licensed under a Creative Commons Attribution 4.0 International License
Based on a work at https://actascientific.com

ff

Acta-Publications

ff

© 2021 Acta Scientific, All rights reserved.