Goodreads-books

The primary reason for creating this dataset is the requirement of a good clean dataset of books. Being a bookie myself (see what I did there?) I had searched for datasets on books in kaggle itself - and I found out that while most of the datasets had a good amount of books listed, there were either a) major columns missing or b) grossly unclean data. I mean, you can't determine how good a book is just from a few text reviews, come on! What I needed were numbers, solid integers and floats that say how many people liked the book or hated it, how much did they like it, and stuff like that. Even the good dataset that I found was well-cleaned, it had a number of interlinked files, which increased the hassle. This prompted me to use the Goodreads API to get a well-cleaned dataset, with the promising features only ( minus the redundant ones ), and the result is the dataset you're at now.本数据集的创作初衷，源于对优质规整书籍数据集的迫切需求。身为一名书籍爱好者（此处玩了个文字梗），我曾在Kaggle平台上检索各类书籍数据集，却发现绝大多数数据集虽收录了数量可观的书籍条目，但要么存在核心字段缺失的问题，要么数据规整度极差。须知仅凭寥寥数条文本评论，根本无法客观评判一本书的优劣。我真正需要的是量化数据：用以统计书籍喜爱与厌恶人数的精准整数、用以衡量评分高低的浮点数等类似指标。即便我曾找到过一份整理较为完善的数据集，其却由多个相互关联的文件组成，操作起来极为繁琐。这促使我通过好读API（Goodreads API）构建一份真正规整的数据集，仅保留核心有用的字段（剔除冗余内容），也就是诸位如今所见的这份数据集。