EDA-Steam-game-data

The purpose is to identify game development opportunities and sales as per user genre preference.

The Team and Stakeholders

Recognizing our stakeholders in this project - CTO Mr.X - Northern Region - Finance Department-Product Service Line - Game & UX designer Team

Team breifing involved lot of questions, primarily:

• What kind of games are being preferred by users today?
• Pricing options: are they seasonal?
• Categorize games based on genre, user reviews and game designing strategies (such as platform requirments;OS,Graphics etc.)

Preprocessing and Cleaning the Data

Data cleaning was perfomed with help of R and some of key challenges:

• Standardization of Dates and Prices

• Extracting Reviews and %-Reviews from the text
• Extracting vital information of minimum game-play/System requirments: OS, Processor, Memory, Graphics, Storage, DirectX and others from text.

• Extracting insights based on languages

Acknowledments

As per statista.com statistics regarding game genres worldwide, popular game tags can be categorised as:

• Shooter
• Action
• Adventure
• Simulation
• Racing
• Strategy
• RPG
• Battle Royale
• MOBA
• Horror (as per twitch users hours preference 2021 and 2023-rapid increase)

https://blog.gamesight.io/twitch-viewership-statistics-for-horror-games-during-the-halloween-season/

www.Statista.com

ChatGPT: https://chat.openai.com/

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