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五范丹戈数据集

五范丹戈数据集

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Business,Arts and Entertainment,Movies and TV Shows,News Classification

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    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

    Content # Fandango This directory contains the data behind the story [Be Suspicious Of Online Movie Ratings, Especially Fandango’s](http://fivethirtyeight.com/features/fandango-movies-ratings/). `fandango_score_comparison.csv` contains every film that has a Rotten Tomatoes rating, a RT User rating, a Metacritic score, a Metacritic User score, and IMDb score, and at least 30 fan reviews on Fandango. The data from Fandango was pulled on Aug. 24, 2015. Column | Definition --- | ----------- FILM | The film in question RottenTomatoes | The Rotten Tomatoes Tomatometer score for the film RottenTomatoes_User | The Rotten Tomatoes user score for the film Metacritic | The Metacritic critic score for the film Metacritic_User | The Metacritic user score for the film IMDB | The IMDb user score for the film Fandango_Stars | The number of stars the film had on its Fandango movie page Fandango_Ratingvalue | The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained. RT_norm | The Rotten Tomatoes Tomatometer score for the film , normalized to a 0 to 5 point system RT_user_norm | The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system Metacritic_norm | The Metacritic critic score for the film, normalized to a 0 to 5 point system Metacritic_user_nom | The Metacritic user score for the film, normalized to a 0 to 5 point system IMDB_norm | The IMDb user score for the film, normalized to a 0 to 5 point system RT_norm_round | The Rotten Tomatoes Tomatometer score for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star RT_user_norm_round | The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star Metacritic_norm_round | The Metacritic critic score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star Metacritic_user_norm_round | The Metacritic user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star IMDB_norm_round | The IMDb user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star Metacritic_user_vote_count | The number of user votes the film had on Metacritic IMDB_user_vote_count | The number of user votes the film had on IMDb Fandango_votes | The number of user votes the film had on Fandango Fandango_Difference | The difference between the presented Fandango_Stars and the actual Fandango_Ratingvalue `fandango_scrape.csv` contains every film we pulled from Fandango. Column | Definiton --- | --------- FILM | The movie STARS | Number of stars presented on Fandango.com RATING | The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained. VOTES | number of people who had reviewed the film at the time we pulled it. Context This is a dataset from [FiveThirtyEight](https://fivethirtyeight.com/) hosted on their [GitHub](https://github.com/fivethirtyeight/data). Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight [organization page](https://www.kaggle.com/fivethirtyeight)! * Update Frequency: This dataset is updated daily. Acknowledgements This dataset is maintained using GitHub's [API](https://developer.github.com/v3/?) and Kaggle's [API](https://github.com/Kaggle/kaggle-api). This dataset is distributed under the [Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license.
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