ANALISIS BIG DATA PENJUALAN VIDEO GAMES MENGUNAKAN EDA

Davit Toramli Husni, Daniel Ryan Hamonangan Sitompul, Stiven Hamonangan Sinurat, R. Rubén, Andreas Situmorang, Dennis Jusuf Ziegel, Julfikar Rahmad, Evta Indra
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引用次数: 1

Abstract

Advertising is a very effective way for product marketing, this method is often used to disseminate product information to be marketed. Errors in the analysis of products to be marketed resulted in significant losses to the company due to errors in the exploration of Big Data processing. Big data is described as large-scale data that can be presented, processed and analyzed using existing technologies, methods and theories. Therefore, an assessment of the big data of video game operators that is in demand by the market is carried out to determine the highest and lowest sales of video games using the Exploratory Data Analysis method so that a company can determine the games to be promoted and produced. The results obtained in this study that have the highest and lowest sales of video games in the global market by genre are action at 1745.27 and strategy at 174.5. And for sales by platform, PS2 is 1255.64 and PCFX is 0.03. With this method, video game sales can be presented graphically, making it easier for companies to determine which games to market and promote small game sales.
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EDA在线视频游戏大销售数据分析
广告是产品营销的一种非常有效的方式,这种方式经常被用来传播产品信息进行营销。由于对大数据处理的探索错误,对上市产品的分析错误给公司造成了重大损失。大数据被描述为可以使用现有技术、方法和理论来呈现、处理和分析的大规模数据。因此,利用探索性数据分析的方法,对市场有需求的视频游戏运营商的大数据进行评估,确定视频游戏的最高和最低销量,从而确定公司要推广和制作的游戏。本研究得出的结果是,在全球市场上,按类型划分的电子游戏销量最高和最低的分别是动作游戏(1745.27)和策略游戏(174.5)。分平台销售,PS2为1255.64,PCFX为0.03。通过这种方法,电子游戏的销售可以以图形化的方式呈现出来,这让公司更容易决定要推广哪些游戏,并促进小型游戏的销售。
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