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18,393 草叉评论

18,393 草叉评论

79.71M
247 浏览
0 喜欢
0 次下载
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Business,Music,Ratings and Reviews Classification

数据结构 ? 79.71M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    # Context [Pitchfork](https://pitchfork.com/) is a music-centric online magazine. It was started in 1995 and grew out of independent music reviewing into a general publication format, but is still famed for its variety music reviews. I scraped over 18,000 [Pitchfork][1] reviews (going back to January 1999). Initially, this was done to satisfy a few of [my own curiosities][2], but I bet Kagglers can come up with some really interesting analyses! # Content This dataset is provided as a `sqlite` database with the following tables: `artists`, `content`, `genres`, `labels`, `reviews`, `years`. For column-level information on specific tables, refer to the [Metadata tab](https://www.kaggle.com/nolanbconaway/pitchfork-data/data). # Inspiration * Do review scores for individual artists generally improve over time, or go down? * How has Pitchfork's review genre selection changed over time? * Who are the most highly rated artists? The least highly rated artists? # Acknowledgements Gotta love [Beautiful Soup][4]! [1]: http://pitchfork.com/ [2]: https://github.com/nolanbconaway/pitchfork-data [3]: https://github.com/nolanbconaway/pitchfork-data/tree/master/scrape [4]: https://www.crummy.com/software/BeautifulSoup/
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