Approaches to Data Visualization for Business Applications and their Importance

Item

Media
Full Text PDFFull Text PDF
Title
Approaches to Data Visualization for Business Applications and their Importance
Creator
Xiaoqi Liu
Project Type
professional_project
Date
3/21/2018
Abstract
With the development of the Internet, people now need to process multitudes of information every day. Organizations process and analyze the data to extract valuable information that guides their operation. Data visualization is an important method for understanding the information. The paper addresses three aspects of data visualization:

Data visualization tools provide alternate ways to view data and make it more understandable.
Tableau is easy to use. It provides users a strong visualization performance and does not require a coding background.
R is an alternative for more complex data visualization and data manipulation, and it can explore data using other methods, such as statistical modelling.

Tableau is a software that produces interactive data visualization products; it does not require any coding background and technology knowledge. It is easy to start with, provides strong performance, and displays the visual data in beautifully organized graphics to help users understand and analyze the data. R is an open source programming language and software which provides a strong performance in data manipulation and data visualization; it requires a coding and mathematics background. Although R has a steep learning curve, people would receive significant rewards once they master it.
Committee Member
David Olson, Scot Morse, Tom L. Burrell
Rights
Western Oregon University Library has determined, as of 05/31/2023, this item is in copyright, which is held by the author. Users may use the item in accordance with copyright limitations and exceptions, including fair use. For other uses, please ask permission from the author.
http://rightsstatements.org/vocab/InC/1.0/
Language
eng
Date Available
3/21/2018
Type
Text
Identifier
computerscience_studentpubs/5
Subject
Data visualization
department or school name within institution
Computer Science