Many people unfortunately focus just on the analysis modeling phase while that phase is crucial, it is of little use without the other phases of the data analysis pipeline. This is focuses on scalable big data systems, which include a set of tools and mechanisms to load, extract, and improve disparate data while leveraging the massively parallel processing power to perform complex transformations and analysis. This is based on COVID 19 patients data on accessible big data systems that include a set of tools and technique to load, extract, and improve dissimilar data while leveraging the immensely parallel processing power to perform complex transformations and analysis. Praveen Kumar | Jyoti Kataria "Study on Big Data Analysis using R Studio on COVID 19" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33408.pdf Paper Url: https://www.ijtsrd.com/medicine/other/33408/study-on-big-data-analysis-using-r-studio-on-covid-19/praveen-kumar
International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 6, September-October 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD33408 | Volume – 4 | Issue – 6 | September-October 2020
Page 414
Study on Big Data Analysis using R Studio on COVID 19
Praveen Kumar1, Jyoti Kataria2
1M Tech Scholar, 2Asistant Professor,
1,2Department of Computer Science & Engineering,
1,2Manav Institute of Technology and Management, Jevra, Haryana, India
ABSTRACT
Many people unfortunately focus just on the analysis/modeling phase: while
that phase is crucial, it is of little use without the other phases of the data
analysis pipeline. This is focuses on scalable big-data systems, which include a
set of tools and mechanisms to load, extract, and improve disparate data while
leveraging the massively parallel processing power to perform complex
transformations and analysis. This is based on COVID 19 patients data on
accessible big-data systems that include a set of tools and technique to load,
extract, and improve dissimilar data while leveraging the immensely parallel
processing power to perform complex transformations and analysis.
KEYWORDS: Big Data, COVID 19, R Studio, etc
How to cite this paper: Praveen Kumar |
Jyoti Kataria "Study on Big Data Analysis
using R Studio on
COVID 19" Published
in
International
Journal of Trend in
Scientific Research
and
Development
(ijtsrd), ISSN: 2456-
6470, Volume-4
|
Issue-6, October 2020, pp.414-418, URL:
www.ijtsrd.com/papers/ijtsrd33408.pdf
Copyright © 2020 by author(s) and
International Journal of Trend in Scientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the
Creative
Commons Attribution
License
(CC
BY
4.0)
(http://creativecommons.org/licenses/by
/4.0)
1. INTRODUCTION
Big Data has to be managed in context, which may be noisy,
heterogeneous and