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Interactive Data Visualization for Census Data

by Naina Bharadwaj, Prachi Mishra, Prajyoti Dsilva
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 4
Year of Publication: 2016
Authors: Naina Bharadwaj, Prachi Mishra, Prajyoti Dsilva
10.5120/ijca2016911387

Naina Bharadwaj, Prachi Mishra, Prajyoti Dsilva . Interactive Data Visualization for Census Data. International Journal of Computer Applications. 149, 4 ( Sep 2016), 20-26. DOI=10.5120/ijca2016911387

@article{ 10.5120/ijca2016911387,
author = { Naina Bharadwaj, Prachi Mishra, Prajyoti Dsilva },
title = { Interactive Data Visualization for Census Data },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 4 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number4/25985-2016911387/ },
doi = { 10.5120/ijca2016911387 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:53:49.099841+05:30
%A Naina Bharadwaj
%A Prachi Mishra
%A Prajyoti Dsilva
%T Interactive Data Visualization for Census Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 4
%P 20-26
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Interactive data visualization is a technique of analyzing data, where a user interacts with the system that results in visual patterns for a given set of data. In this paper, seven basic modules and their corresponding operations have been proposed that an interactive big data visualization tool for Census dataset should possess. The current visualization tools for Census dataset are limited in their results due to lack of interactivity. This paper aims to eliminate the limitation by enhancing the interactive visualization process with more relevant operations for manipulation of resultant visuals according to various attributes. Gaps and discontinuities in data have also been considered for visualization. Reliability factor for the sources of the big data has been introduced. It also explains why Census dataset requires additional features and modules in comparison to the ones in existing visualization tools. The working of every module and operations associated with it has been described using a real life example of Census Data for a country

References
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Index Terms

Computer Science
Information Sciences

Keywords

Big data Census data interactive visualization visualization tool

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