https://github.com/sathyasris27/environmental-classification-based-on-gaming-patterns

The aim of this project is to create a more nuanced understanding of the interactions between socio-demographic characteristics, in-game behaviours, and global-scale environmental consciousness.
https://github.com/sathyasris27/environmental-classification-based-on-gaming-patterns

data-engineering data-mining data-science data-visualization python-3

Last synced: 9 days ago
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The aim of this project is to create a more nuanced understanding of the interactions between socio-demographic characteristics, in-game behaviours, and global-scale environmental consciousness.

• Host: GitHub
• URL: https://github.com/sathyasris27/environmental-classification-based-on-gaming-patterns
• Owner: SathyasriS27
• Created: 2024-06-11T14:53:19.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-06-11T16:19:31.000Z (5 months ago)
• Last Synced: 2024-10-07T17:04:51.942Z (about 1 month ago)
• Topics: data-engineering, data-mining, data-science, data-visualization, python-3
• Language: Jupyter Notebook
• Homepage:
• Size: 2.88 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Environmental-Classification-based-on-Gaming-Patterns

## Aim 🌎

The aim of this project is to create a more nuanced understanding of the interactions between socio-demographic characteristics, in-game behaviours, and global-scale environmental consciousness. 

## About the Dataset 🐣

The dataset used contains a wide range of information, including socio-demographic details, responses to world events, environmental viewpoints, gaming habits, in-game activities, and player emotional experiences. This dataset is a significant resource for investigating the global convergence of virtual gaming, environmental awareness, and human actions. 

The dataset used in this project is got from [Science data bank](https://www.scidb.cn/en/detail?dataSetId=cb5d36cce29f4e5695a586c9b85d04b6).

## Methodology 📚

Our methodology is divided into three stages: 

  1. Data quality checks - The aim of data quality assessment is to ensure the accuracy, consistency, and reliability of the dataset by identifying and rectifying discrepancies.

  2. Data characterization - The data characterization phase seeks to provide a comprehensive overview of key characteristics, patterns, and trends within the dataset.

  3. Detailed analysis objectives -  The detailed analysis is for conducting an in-depth examination of the dataset, extracting valuable insights and conclusions.

## Documentation 🗂️

In order to get the complete analysis and conclusion, please refer to this [documentation](https://github.com/SathyasriS27/Environmental-Classification-based-on-Gaming-Patterns/blob/main/Group%2B27_Coursework%2B1_Report-1.pdf). 

## Built with 👷🏻‍♀️

* Python

## Acknowledgements 😼

Team members who made this project possible 

1. Priyanka Singh

2. Omkar pawar

3. Akshay Deshmukh