This repository contains the Most read books of 2019 dataset analyzed in the paper:
Title: "A cross-country study on cultural similarities based on book preferences"
Authors: Nazanin Sabri, Sadaf Sadeghian, Behnam Bahrak
DOI: https://doi.org/10.1007/s13278-020-00695-y
If you use this dataset in your work, please cite our paper:
Sabri, N., Sadeghian, S. & Bahrak, B. A cross-country study on cultural similarities based on book preferences. Soc. Netw. Anal. Min. 10, 86 (2020). https://doi.org/10.1007/s13278-020-00695-y
The data was collected from Goodreads.
The most read books of 2019, the following information is available for each book.
- Country
- crawl_date
- duration_type
- generation_date
- rank
- book_url
- book_title
- book_cover_url
- published_year
- number_of_reads
- average_rating
- number_of_ratings
- author_url
import pandas as pd
most_read_books = pd.read_csv('most_read_books.csv')
most_read_books.head(3)| Country | crawl_date | duration_type | generation_date | rank | book_url | book_title | book_cover_url | published_year | number_of_reads | average_rating | number_of_ratings | author_url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Afghanistan | December 24 2019 | y | (Dec 22 2019 11:30AM) | 1 | /book/show/38746485-becoming | Becoming | https://i.gr-assets.com/images/S/compressed.ph... | 2018 | 10 | 4.58 | 333941 | https://www.goodreads.com/author/show/2338628.... |
| Afghanistan | December 24 2019 | y | (Dec 22 2019 11:30AM) | 2 | /book/show/6642715-the-forty-rules-of-love | The Forty Rules of Love | https://i.gr-assets.com/images/S/compressed.ph... | 2009 | 9 | 4.16 | 108593 | https://www.goodreads.com/author/show/6542440.... |
| Afghanistan | December 24 2019 | y | (Dec 22 2019 11:30AM) | 3 | /book/show/38820046-21-lessons-for-the-21st-ce... | 21 Lessons for the 21st Century | https://i.gr-assets.com/images/S/compressed.ph... | 2018 | 9 | 4.19 | 50164 | https://www.goodreads.com/author/show/395812.Y... |
The genre values for each book that have at least 10 votes.
import pandas as pd
genre_df = pd.read_csv('CleanedBookGenreVotesAbove10.csv')
genre_df.head(3)| Book_URL | Genre | Votes_num | Voters |
|---|---|---|---|
| /book/show/11588.The_Shining | to-read | 457858 | https://www.goodreads.com/user/show/214499-and... |
| /book/show/11588.The_Shining | currently-reading | 20401 | https://www.goodreads.com/user/show/351583-lor... |
| /book/show/11588.The_Shining | horror | 13464 | https://www.goodreads.com/user/show/358415-rob... |