Kindle-Book-Success-Analysis-Python

Kindle-Book-Success-Analysis-Python

Mahmudul-Hasan-24

Analyzing how publisher reputation and cover design influence Kindle book sales, ratings, and bestseller status — using Python, Pandas, Seaborn, and statistical modeling on a structured Kindle dataset.

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Jupyter Notebook Language
21 SrcLog Score
Cost to Build
$36.9K
Market Value
$5.9K
How is this calculated?

Growth over time

2 data points  ·  2026-07-25 → 2026-08-09
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What is the Mahmudul-Hasan-24/Kindle-Book-Success-Analysis-Python GitHub project? Description: "Analyzing how publisher reputation and cover design influence Kindle book sales, ratings, and bestseller status — using Python, Pandas, Seaborn, and statistical modeling on a structured Kindle dataset.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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