Data visualization for text-based documents
This paper examines the availability, and needs of simple, easy to use, and easy to install data visualization and debugging software. Recently, the prominent rise of the Internet of Things, and Artificial Intelligence has caused an increase of interest and research projects in big data. Along wi...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/6003/1/fyp_IA_2023_YKC.pdf http://eprints.utar.edu.my/6003/ |
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| _version_ | 1848452652628705280 |
|---|---|
| author | Yong, Chung Wei |
| author_facet | Yong, Chung Wei |
| author_sort | Yong, Chung Wei |
| building | UTAR Library |
| collection | Institutional Repository |
| content_provider | Universiti Tunku Abdul Rahman |
| content_source | UTAR Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper examines the availability, and needs of simple, easy to use, and easy to
install data visualization and debugging software. Recently, the prominent rise of the
Internet of Things, and Artificial Intelligence has caused an increase of interest and
research projects in big data. Along with this, there is an increased demand for simple
and easy to use visualization tools to assist in research. Among these sources of
demand is Dr. Ooi Boon Yaik, a researcher and lecturer at University Tunku Abdul
Rahman who is running quite a few research projects that need these simple to use
tools. Incorporating various web technologies, and software tools, this project aims to
produce a tool that fills a niche that has not yet been done but greatly needed by
researchers. Which is, a data visualisation and debugging tool that is lightweight, easy
to use, simple and customizable. |
| format | Final Year Project / Dissertation / Thesis |
| id | my-utar-eprints.6003 |
| institution | Universiti Tunku Abdul Rahman |
| publishDate | 2023 |
| record_format | eprints |
| spelling | my-utar-eprints.60032025-11-05T09:39:22Z Data visualization for text-based documents Yong, Chung Wei HA Statistics HJ Public Finance T Technology (General) This paper examines the availability, and needs of simple, easy to use, and easy to install data visualization and debugging software. Recently, the prominent rise of the Internet of Things, and Artificial Intelligence has caused an increase of interest and research projects in big data. Along with this, there is an increased demand for simple and easy to use visualization tools to assist in research. Among these sources of demand is Dr. Ooi Boon Yaik, a researcher and lecturer at University Tunku Abdul Rahman who is running quite a few research projects that need these simple to use tools. Incorporating various web technologies, and software tools, this project aims to produce a tool that fills a niche that has not yet been done but greatly needed by researchers. Which is, a data visualisation and debugging tool that is lightweight, easy to use, simple and customizable. 2023-05 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6003/1/fyp_IA_2023_YKC.pdf Yong, Chung Wei (2023) Data visualization for text-based documents. Final Year Project, UTAR. http://eprints.utar.edu.my/6003/ |
| spellingShingle | HA Statistics HJ Public Finance T Technology (General) Yong, Chung Wei Data visualization for text-based documents |
| title | Data visualization for text-based documents |
| title_full | Data visualization for text-based documents |
| title_fullStr | Data visualization for text-based documents |
| title_full_unstemmed | Data visualization for text-based documents |
| title_short | Data visualization for text-based documents |
| title_sort | data visualization for text-based documents |
| topic | HA Statistics HJ Public Finance T Technology (General) |
| url | http://eprints.utar.edu.my/6003/1/fyp_IA_2023_YKC.pdf http://eprints.utar.edu.my/6003/ |
| url_provider | http://eprints.utar.edu.my |