小说数据集

三个CSV格式的小说数据集，分别记录了小说的推荐数、月票数和收藏数。以下是每个数据集的简要介绍：

1. **phb_part3.csv** - 这个数据集列出了小说的名称、小说类型以及收藏数。例如，小说《灵境行者》属于科幻·进化变异类别，收藏数为11,610,906。

2. **phb_part2.csv** - 这个数据集包含了小说的名称、小说类型和推荐数。例如，《青葫剑仙》是一部仙侠·古典仙侠类型的小说，获得了195,773的推荐数。

3. **phb_part1.csv** - 这个数据集记录了小说的名称、小说类型和月票数。例如，《宿命之环》是玄幻·异世大陆类型的小说，拥有223,141的月票数。

每个数据集都以表格形式组织，每行代表一个小说条目，包括小说名、小说类型和相应的数值（推荐数、月票数或收藏数）。这些数据可以用来分析不同类型小说的受欢迎程度，或者研究读者对不同小说的喜好。

Three novel datasets in CSV format, which respectively record the recommendation count, monthly ticket count, and collection count of novels. Here is a brief introduction to each dataset:

1. **phb_part3.csv** - This dataset lists the novel name, novel genre, and collection count. For example, the novel *Lingjing Xingzhe* (Spiritual Realm Travelers) falls under the science fiction · evolutionary variation category, with a collection count of 11,610,906.

2. **phb_part2.csv** - This dataset includes the novel name, novel genre, and recommendation count. For example, the novel *Qinghu Jianxian* (Blue Gourd Sword Immortal) is a xianxia · classical xianxia genre novel, having received 195,773 recommendations.

3. **phb_part1.csv** - This dataset records the novel name, novel genre, and monthly ticket count. For example, the novel *Suming Zhihuan* (Ring of Destiny) is a xuanhuan · different world continent genre novel, with 223,141 monthly tickets.

Each dataset is organized in tabular form, with each row representing a single novel entry, including the novel name, novel genre, and the corresponding numerical value (recommendation count, monthly ticket count, or collection count). These data can be used to analyze the popularity of novels across different genres, or to study readers' preferences for various novels.

AI搜集汇总

背景与挑战

背景概述

该数据集是一个小说相关数据集，包含三个CSV文件，分别记录小说的月票数、推荐数和收藏数，每个文件包括小说名称、小说类型和对应数值。数据以表格形式组织，适用于分析不同类型小说的受欢迎程度或研究读者偏好，发布于2024年6月13日，数据量较小，属于公共数据集。