z-logo
open-access-imgOpen Access
DATA VISUALIZATION TECHNIQUES: A REVIEW
Author(s) -
Rajvir Kaur,
Beant Kaur
Publication year - 2020
Publication title -
global journal of engineering science and research
Language(s) - English
Resource type - Journals
ISSN - 2348-8034
DOI - 10.29121/gjesr.v7.i8.2020.3
Subject(s) - visualization , computer science , data visualization , information visualization , data science , data mining , creative visualization , outlier , artificial intelligence
Data visualization involves representing data and information in a graphical or pictorial form so that it can be easily understandable. At Present time, data is increasing at a very fast rate so, it is important to visualize and analyze the massive amount of data by using various visualization techniques. Data Visualization techniques are very helpful to visualize and understand outliers, trends, and patterns in data and thus helpful in decision making. This paper presents a review of the basic concepts of data visualization and various techniques and tools used for visualizing data. Some big data visualization techniques, which are the need of the hour, are also being discussed.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here