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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Bibliographic Details
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
Description
Summary: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.