Popular Video Games 1980 - 2023 🎮
收藏www.kaggle.com2023-03-23 更新2025-01-16 收录
下载链接:
https://www.kaggle.com/arnabchaki/popular-video-games-1980-2023
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资源简介:
This dataset contains a list of video games dating from 1980 to 2023, it also provides things such as release dates, user review rating, and critic review rating.
Not only can you find the popular games mentioned here but also the obscure indie ones which we have forgotten in time!
Backloggd is a video game collection website mixed with social elements to focus on bringing your gaming profile to life. Create a free account to get started on logging the games you've played, and then rating and reviewing as you go! Go into detail with logging platforms, time played, and even a daily journal to keep track your daily gaming progress with playthroughs. It's all tailored to how much you want to log, so that your profile fits you. Then outside of that you can create lists of games, friend other users, follow their activities, and so much more!

# Inspiration
The purpose of this dataset is to gain insights into the trends of game genre popularity.
I am particularly interested in the following questions:
Which game genres are the most popular?
What are the trends in popularity for each game genre?
Can we identify any relationship between plot, genre, and popularity?
Can we use generative NLP to generate catchy game titles or plots?
Which games are users inclined to play right now and which ones do they keep hanging in their game shelves?
本数据集囊括了自1980年至2023年间发布的众多视频游戏,并提供了诸如发行日期、用户评论评分及评论家评分等详尽信息。在此,您不仅能发现广受欢迎的游戏作品,亦能探寻那些随着时间的流逝而被遗忘的独立游戏!
Backloggd,一款融合社交元素的电子游戏收藏网站,旨在生动展现您的游戏档案。您只需注册一个免费账户,即可开始记录您所玩的游戏,并随着游戏的推进进行评分与评论!您可以通过详细记录游戏平台、游戏时长,甚至每日游戏日记来追踪您的每日游戏进度。这些功能均根据您的记录需求量身定制,以确保您的档案与您的个人特色相契合。除此之外,您还可以创建游戏列表、结交朋友、关注他们的活动,以及更多其他功能!

# 启示
本数据集旨在深入探究游戏类型流行趋势。
我对以下问题尤为关注:
哪些游戏类型最受欢迎?
各游戏类型的流行趋势如何?
我们能否识别出剧情、类型与流行度之间的关联?
能否利用生成式自然语言处理技术创作吸引人的游戏标题或剧情?
目前用户倾向于玩哪些游戏,哪些游戏被他们保留在游戏架上?
提供机构:
Kaggle
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集收录了1980-2023年间热门电子游戏的详细信息,包括发行日期、开发团队、用户评分和评论等,数据来源于Backloggd网站,可用于分析游戏类型流行趋势和游戏特征与受欢迎程度的关系。
以上内容由遇见数据集搜集并总结生成



