five

Top 100 Bestselling Book Reviews on Amazon

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www.kaggle.com2023-11-09 更新2025-01-15 收录
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https://www.kaggle.com/anshtanwar/top-200-trending-books-with-reviews
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# Check out [The Little Book of ML Metrics](https://www.nannyml.com/metrics?via=ansh) – an open-source guide every data scientist needs! This book deep-dives into essential metrics often overlooked in courses. You can preorder a hard copy and even contribute to the open source content. # Description > This dataset offers an in-depth look into Amazon's top 100 Bestselling books along with their customer reviews, Ratings, Price etc. Whether you're a book enthusiast, data scientist, or just curious about the latest literary trends, this dataset provides a window into the world of popular reading.{Scrapped dataset on November 2023} >- **Book Rank**: The ranking of the book among the top 100 Bestselling books on Amazon. - **Book Title**: The title of the book. - **Price**: The price of the book in USD. - **Rating**: The overall rating of the book, on a scale of 1 to 5. - **Author**: The author of the book. - **Year of Publication**: The year in which the book was published. - **Genre**: The genre or category to which the book belongs. - **URL**: The URL link to the book on Amazon's platform. - **Review Title**: The title of the book review. - **Reviewer**: The name of the person who has written a review for the book. - **Reviewer Rating**: The rating given by the reviewer for the book, on a scale of 1 to 5. - **Review Description**: The text description of the review given. - **Is_verified**: Indicates whether the review is verified as a genuine customer review. - **Date**: The timestamp indicates the date when the review was posted. - **Timestamp**: The timestamp indicates when the review was posted. - **ASIN**: Amazon Standard Identification Number assigned to products on Amazon. # Feel free to download the data and use it in your work. I will wait for interesting notebooks from your side. Thank you

敬请查阅[机器学习度量指标浅析](https://www.nannyml.com/metrics?via=ansh)——一本每位数据科学家不可或缺的开源指南!本书深入探讨课程中常被忽视的必要指标。您可预先订购精装版,甚至贡献于开源内容。 # 描述 > 本数据集对亚马逊前100名畅销书的详细信息进行了深入剖析,包括书籍评论、评分、价格等。无论您是书迷、数据科学家,还是对最新文学趋势充满好奇,本数据集都为您打开了一扇了解流行阅读世界的窗口。(数据采集于2023年11月) >- **书籍排名**:该书籍在亚马逊前100名畅销书中的排名。 - **书籍标题**:书籍的标题。 - **价格**:书籍的美元价格。 - **评分**:书籍的整体评分,评分范围为1至5。 - **作者**:书籍的作者。 - **出版年份**:书籍的出版年份。 - **类别**:书籍所属的类别或类型。 - **URL**:书籍在亚马逊平台上的链接。 - **评论标题**:书籍评论的标题。 - **评论者**:撰写书籍评论的人的名字。 - **评论者评分**:评论者给予书籍的评分,评分范围为1至5。 - **评论描述**:评论的文本描述。 - **是否验证**:指示评论是否被验证为真实的顾客评论。 - **日期**:评论发布的日期时间戳。 - **时间戳**:评论发布的具体时间。 - **ASIN**:亚马逊产品标准识别号。 }
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