Visualizing dynamic data

Dynamic data are qualitative or quantitative variables that changes asynchronously as new information becomes available over time. Dynamic data can come in any forms and could be found almost virtually anywhere on the Internet now. There are several examples of dynamic data and its applications. To...

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Main Author: Seet, Andrew Choon Nguan.
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/55142
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-551422023-03-03T21:03:27Z Visualizing dynamic data Seet, Andrew Choon Nguan. School of Computer Engineering He Bing Sheng DRNTU::Engineering::Computer science and engineering::Software Dynamic data are qualitative or quantitative variables that changes asynchronously as new information becomes available over time. Dynamic data can come in any forms and could be found almost virtually anywhere on the Internet now. There are several examples of dynamic data and its applications. To name a few, stock market indices which are used measures the value of a section of a stock market, geological data are used to predict natural disasters and sales data could measure the how well a company is doing. With the importance of dynamic data, it was essential that the consumer of the data could understand and make inference on the data presented to them. Bachelor of Engineering (Computer Science) 2013-12-19T08:36:46Z 2013-12-19T08:36:46Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/55142 en Nanyang Technological University 47 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Software
spellingShingle DRNTU::Engineering::Computer science and engineering::Software
Seet, Andrew Choon Nguan.
Visualizing dynamic data
description Dynamic data are qualitative or quantitative variables that changes asynchronously as new information becomes available over time. Dynamic data can come in any forms and could be found almost virtually anywhere on the Internet now. There are several examples of dynamic data and its applications. To name a few, stock market indices which are used measures the value of a section of a stock market, geological data are used to predict natural disasters and sales data could measure the how well a company is doing. With the importance of dynamic data, it was essential that the consumer of the data could understand and make inference on the data presented to them.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Seet, Andrew Choon Nguan.
format Final Year Project
author Seet, Andrew Choon Nguan.
author_sort Seet, Andrew Choon Nguan.
title Visualizing dynamic data
title_short Visualizing dynamic data
title_full Visualizing dynamic data
title_fullStr Visualizing dynamic data
title_full_unstemmed Visualizing dynamic data
title_sort visualizing dynamic data
publishDate 2013
url http://hdl.handle.net/10356/55142
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