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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52175

Amazon Bestselling Book Analysis

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52175

Volume:

9 |

8 |

Aug 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PM1

Puttanaik M 1

MSPP2

Mr. Sheethal P P 2

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Abstract

The rapid growth of e-commerce platforms has revolutionized the publishing industry, with Amazon emerging as a dominant marketplace for books. Analyzing the patterns, features, and factors influencing best-selling books can provide valuable insights for authors, publishers, and readers. This project focuses on the analysis of Amazon best-selling books using Python-based data analysis and visualization techniques.

KEYWORDS

E-commerce platforms Amazon Marketplace for books Best-selling books Visualization techniques Factors influencing sales Patterns and features Data analysis

Cite This Article

Puttanaik M 1, Mr. Sheethal P P 2, "Amazon Bestselling Book Analysis," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 8, Aug 2025.

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Publication Date

8/26/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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