Goodreads Top 100 Classics by Kaggle | Media and Entertainment

About this Dataset

Goodreads Top 100 Classics

Context

These are the top 25 of that list as compiled by Entertainment Weekly. All had to have been published in the last 25 years (1983-2008). Add more, vote for your favorites, or tell us where they went wrong!

Being an avid book reader and a member of goodreads.com, I always wanted to combine my love for data and books. So here's goodreads top 100 classics in the last 25 years.

Content

The data was acquired by scrapping goodreads.com. Goodreads is an American social cataloging website and a subsidiary of Amazon that allows individuals to search its database of books, annotations, quotes, and reviews. Users can sign up and register books to generate library catalogs and reading lists. It's one of the biggest community for readers with books ranging from classics to more new releases.

I have been part of this community for a long time and wanted to share this data with you kaggle community to see their work.

Acknowledgements

Source:
Goodreads Top 100 classics

Inspiration

Your data will be in front of the world's largest readers' community. What questions do you want to see answered?

Tables

Goodreads Dataset

@kaggle.notkrishna_goodreads_top_100_classical_books_of_all_time.goodreads_dataset

82.57 KB
100 rows
10 columns


CREATE TABLE goodreads_dataset (
  "unnamed_0" BIGINT,
  "title" VARCHAR,
  "language" VARCHAR,
  "series" VARCHAR,
  "author" VARCHAR,
  "pages" VARCHAR,
  "avg_rating" VARCHAR,
  "no_ratings" BIGINT,
  "description" VARCHAR,
  "awards" VARCHAR
);