Data Visualization for Mobile Game Design and Feature Selection
Zhao, Shijie (2017)
Metropolia Ammattikorkeakoulu
2017
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2017053111435
https://urn.fi/URN:NBN:fi:amk-2017053111435
Tiivistelmä
The project explored new ways of visualization of mobile game analysis data. The aim was to find better approaches of visualizing analysis results to help the clients in mobile game design and feature selection decision making. This study was carried out for GameRefinery Oy.
The project included researching data visualization, comparing different visualization tools, implementing game analysis visualizations and conducting a usability test of the visualizations. Technologies used in the project include Python, Pandas and D3.js.
As a result, two visualizations of mobile game genre trends and features that were very different from other visualizations within the company SaaS (software as a service) and the mobile game industry were developed and were proven to be easy to use and helpful.
The data visualizations provided a clear and easy way to acquire related data and helped making fact-based decisions in game design process for the clients in the mobile game industry, where time is of the essence.
The project included researching data visualization, comparing different visualization tools, implementing game analysis visualizations and conducting a usability test of the visualizations. Technologies used in the project include Python, Pandas and D3.js.
As a result, two visualizations of mobile game genre trends and features that were very different from other visualizations within the company SaaS (software as a service) and the mobile game industry were developed and were proven to be easy to use and helpful.
The data visualizations provided a clear and easy way to acquire related data and helped making fact-based decisions in game design process for the clients in the mobile game industry, where time is of the essence.