The dataset consists of over 38000 books collected from the Best Books Ever list on Goodreads.com in 2020.

## Files

*   **books_train.csv** - the training set
*   **books_test.csv** - the test set
*   **books_sample_submission.csv** - a sample submission file in the correct format

## Columns

*   `id` - id of the book
*   `title` - the title of the book
*   `series` - the series the book belongs to, if any
*   `author` - the author of the book
*   `rating` - the average rating of the book on GoodReads
*   `description` - a brief description of the book
*   `language` - the language the book is written in
*   `isbn` - the ISBN number of the book
*   `genres` - the genres the book falls into
*   `characters` - the characters featured in the book
*   `bookFormat` - the format of the book (e.g paperback or e-book)
*   `edition` - the edition of the book
*   `pages` - the number of pages in the book
*   `publisher` - the publisher of the book
*   `publishDate` - the date the book was published
*   `firstPublishDate` - the date the book was first published
*   `awards` - any awards the book has received
*   `numRatings` - the number of ratings the book has received
*   `ratingsByStars` -  the ratings the book has received broken down by star ratings
*   `likedPercent` - the percentage of readers who liked the book
*   `setting` - the setting of the book
*   `bbeScore` - the score of the book on GoodReads' Best Books Ever list
*   `bbeVotes` - the number of votes cast for the book on GoodReads' Best Books Ever list
*   `price` -  the price of the book, Target variable