Scope and Challenges in Data Visualisation: Presentation of Data in a Graphical Format
Asoke Nath1 , Tejash Datta2 , Faisal Ahmed3 , Nitin Gupta4
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-5 , Page no. 1596-1601, May-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i5.15961601
Online published on May 31, 2019
Copyright © Asoke Nath, Tejash Datta, Faisal Ahmed, Nitin Gupta . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Asoke Nath, Tejash Datta, Faisal Ahmed, Nitin Gupta, “Scope and Challenges in Data Visualisation: Presentation of Data in a Graphical Format,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1596-1601, 2019.
MLA Style Citation: Asoke Nath, Tejash Datta, Faisal Ahmed, Nitin Gupta "Scope and Challenges in Data Visualisation: Presentation of Data in a Graphical Format." International Journal of Computer Sciences and Engineering 7.5 (2019): 1596-1601.
APA Style Citation: Asoke Nath, Tejash Datta, Faisal Ahmed, Nitin Gupta, (2019). Scope and Challenges in Data Visualisation: Presentation of Data in a Graphical Format. International Journal of Computer Sciences and Engineering, 7(5), 1596-1601.
BibTex Style Citation:
@article{Nath_2019,
author = { Asoke Nath, Tejash Datta, Faisal Ahmed, Nitin Gupta},
title = {Scope and Challenges in Data Visualisation: Presentation of Data in a Graphical Format},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1596-1601},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4456},
doi = {https://doi.org/10.26438/ijcse/v7i5.15961601}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.15961601}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4456
TI - Scope and Challenges in Data Visualisation: Presentation of Data in a Graphical Format
T2 - International Journal of Computer Sciences and Engineering
AU - Asoke Nath, Tejash Datta, Faisal Ahmed, Nitin Gupta
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1596-1601
IS - 5
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
362 | 447 downloads | 113 downloads |
Abstract
Data visualization calls to mind the old saying: “a picture is worth a thousand words.” Data visualization techniques exploit this fact: they are all about turning data into visual form by presenting data in pictorial or graphical format. This makes it easy for decision-makers to comprehend the information contained within vast amounts of data at a glance to understand and draw inferences from it. In the present paper the authors have presented techniques and approaches for how huge quantities of data can be represented visually. The authors have designed an intuitive interface to make it easier for an end user to plot data and interact with it. It also demonstrated how data presented visually can be used to draw meaningful inferences from datasets representing real-world scenarios.
Key-Words / Index Term
Big data, Data visualisation, Interactive data representation, Data analytics
References
[1] Mayer-Schonberger, V. & Cukier, K. (2013). Big Data: A Revolution That Will Transform How We Live, Work, and Think. Houghton Mifflin Harcourt.
[2] Favaretto, M., Clercq, E. & Elger, B. (2019). Big Data and discrimination: perils, promises and solutions. A systematic review. Journal of Big Data.
[3] Singh, D. & Reddy, C. (2014). A survey on platforms for big data analytics. Journal of Big Data.
[4] Healy, K. (2018). Data Visualization: A Practical Introduction. Princeton University Press.
[5] Fang, X. & Zhan, J. (2015). Sentiment analysis using product review data. Journal of Big Data.
[6] K. Parimala, G. Rajkumar, A. Ruba, S. Vijayalakshmi, "Challenges and Opportunities with Big Data", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.5, pp.16-20, 2017
[7] Rakesh. S.Shirsath, Vaibhav A.Desale, Amol. D.Potgantwar, "Big Data Analytical Architecture for Real-Time Applications", International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.4, pp.1-8, 2017
[8] Oluigbo Ikenna V., Nwokonkwo Obi C., Ezeh Gloria N., Ndukwe Ngoziobasi G., "Revolutionizing the Healthcare Industry in Nigeria: The Role of Internet of Things and Big Data Analytics", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.6, pp.1-12, 2017