Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01bz60d000j
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Moretti, Christopher | - |
dc.contributor.author | Chen, Zhan | - |
dc.date.accessioned | 2018-08-14T17:57:25Z | - |
dc.date.available | 2018-08-14T17:57:25Z | - |
dc.date.created | 2018-05-07 | - |
dc.date.issued | 2018-08-14 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01bz60d000j | - |
dc.description.abstract | E-Sports is a quickly growing industry with viewerships and fanbases matching that of traditional professional sports. Multiplayer Online Battle Arena (MOBA) is currently the most popular genre of E-Sports yet there is a lack of readily available and meaningful statistics. This project aims to produce a web application that provides relevant and meaningful statistics for a popular MOBA game League of Legends. | en_US |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | en_US |
dc.title | Medium For Visualization of Competitive e-Sports Statistics | en_US |
dc.type | Princeton University Senior Theses | - |
pu.date.classyear | 2018 | en_US |
pu.department | Computer Science | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | - |
pu.contributor.authorid | 960984240 | - |
Appears in Collections: | Computer Science, 1988-2020 |
Files in This Item:
File | Description | Size | Format | |
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CHEN-ZHAN-THESIS.pdf | 708.58 kB | Adobe PDF | Request a copy |
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