Paper Title
A Comparative Analysis of Python and R: Two Dominant Languages for Data Science and Statistical Analysis
Article Identifiers
Authors
Ms. Harshita Joshi , Ms. Nidhi Upadhyay
Keywords
difference between R and Python, comparison of R and Python, Data Visualization.
Abstract
Python and R are two widely adopted programming languages in the domains of data science and statistical analysis. This research paper presents a comprehensive comparison between Python and R, focusing on various aspects such as ease of use, performance, ecosystem, libraries, and community support. We explore the strengths and weaknesses of each language and analyze their suitability for different data-related tasks. Through an in-depth examination of these languages, we aim to provide a valuable resource for professionals and researchers seeking guidance on choosing the most appropriate language for their specific data science and statistical projects.
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How To Cite (APA)
Ms. Harshita Joshi & Ms. Nidhi Upadhyay (November-2023). A Comparative Analysis of Python and R: Two Dominant Languages for Data Science and Statistical Analysis. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), d719-d723. https://ijnrd.org/papers/IJNRD2311380.pdf
Issue
Volume 8 Issue 11, November-2023
Pages : d719-d723
Other Publication Details
Paper Reg. ID: IJNRD_209567
Published Paper Id: IJNRD2311380
Downloads: 000121992
Research Area: Information TechnologyÂ
Country: Indore, madhya pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2311380.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311380
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
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Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
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