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verify-tagBeer Reviews from Beer Advocate (1.5 Million)

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数据标识:D17171225945762096

发布时间:2024/05/31

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数据描述

Beer Reviews from Beer Advocate (1.5 Million)

How did your favorite beer get its taste?


About this dataset

Do you love beer? Do you love trying new beers and rating them? Well, this dataset is perfect for you! It contains 1.5 million beer reviews from Beer Advocate, making it ideal for testing your data skills. The data includes ratings in terms of five aspects: appearance, aroma, palate, taste, and overall impression. Reviews also include product and user information. So what are you waiting for? Get started today!

How to use the dataset

This large dataset from Beer Advocate consists of 1.5 million beer reviews, making it ideal for testing data skills. The data includes ratings in terms of five aspects: appearance, aroma, palate, taste, and overall impression. Reviews also include product and user information

To use this dataset effectively, it is important to understand the structure of the data and the relationships between the different columns. The column 'brewery_name' is a good starting point for exploring the data as it provides an overview of all the breweries represented in the dataset. From there, it is possible to find reviews for specific breweries by using the 'review_time' and 'review_profilename' columns.

The 'beer_style' column is also important as it provides information on what type of beer each review is for. This can be used to filter the data so that only reviews for a certain type of beer are considered. Additionally, the 'beer_abv' column can be used to find out which beers are higher or lower in alcohol content.

Finally, the 'review_overall', 'review_aroma', 'review_appearance', 'review_palate', and 'review_taste' columns contain ratings for each aspect of the beer being reviewed. These ratings can be used to compare different beers or to determine which aspects are most important to reviewers

Research Ideas

  • Develop a model to predict the likelihood of a beer being reviewed well before it is even created.
  • Building a Beer Recommender System
  • Create a web app that uses the dataset to help users find nearby breweries according to their taste preferences

Acknowledgements

I would like to thank Beer Advocate for providing this dataset.

Columns


File: beer_reviews.csv

Column name Description
brewery_name The name of the brewery that made the beer. (String)
review_time The date and time of the review. (String)
review_overall The reviewer's overall rating of the beer on a scale of 1 to 5. (Float)
review_aroma The reviewer's rating of the beer's aroma on a scale of 1 to 5. (Float)
review_appearance The reviewer's rating of the beer's appearance on a scale of 1 to 5. (Float)
review_profilename The reviewer's username. (String)
beer_style The style of beer. (String)
review_palate The reviewer's rating of the beer's palate on a scale of 1 to 5. (Float)
review_taste The reviewer's rating of the beer's taste on a scale of 1 to 5. (Float)
beer_name The name of the beer. (String)
beer_abv The alcohol by volume of the beer. (Float)

License

> License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) > - You are free to: > - Share - copy and redistribute the material in any medium or format for non-commercial purposes only. > - Adapt - remix, transform, and build upon the material for non-commercial purposes only. > - You must: > - Give appropriate credit - Provide a link to the license, and indicate if changes were made. > - ShareAlike - You must distribute your contributions under the same license as the original. > - You may not: > - Use the material for commercial purposes.

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Beer Reviews from Beer Advocate (1.5 Million)
10
已售 0
192.3MB
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