Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/55142
Title: Visualizing dynamic data
Authors: Seet, Andrew Choon Nguan.
Keywords: DRNTU::Engineering::Computer science and engineering::Software
Issue Date: 2013
Abstract: 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.
URI: http://hdl.handle.net/10356/55142
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP_Report2013_AndrewSeet_U1021454H_Final.pdf
  Restricted Access
Visualizing Dynamic Data1.65 MBAdobe PDFView/Open

Page view(s) 50

436
checked on Oct 21, 2020

Download(s) 50

71
checked on Oct 21, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.