Journal of Health Sciences and Epidemiology
Vol. 1 No. 1 (2023): April 2023

Analysis Using R Software: A Big Opportunity for Epidemiology and Public Health Data Analysis

Rinaldi Daswito (Health Polytechnic MoH Tanjungpinang, Indonesia)
Besral Besral (Department of Biostatistics, School of Public Health University of Indonesia)
Radian Ilmaskal (Alifah Padang Health Science College)



Article Info

Publish Date
21 Jul 2023

Abstract

R is a programming language, open-source, developed by various of the world's most active statisticians with powerful function and visualization for data analysis from simple to complex data such as machine learning and artificial intelligence. Data visualization technologies have the ability to assist public health professionals with decision-making. Visualization appears to help decision making by increasing the quantity of information communicated and reducing the cognitive and intellectual strain of processing information. There are numerous commercially available statistical software packages that are widely utilized by epidemiologists worldwide. For industrialized nations, the price of software is not a significant issue. However, for underdeveloped nations, the true expenses are frequently excessive. Some academics in developing nations rely on software that has been illegally copied a copy of the software program. There are several benefits to using R, including the possibility of using software packages for free (open source) and the volume and availability of software packages. It is simple to retain and repeat commands on the same data analysis with multiple data frames, facilitating the work of health monitoring officers who frequently analyze data with similar variables but at different times.

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Journal Info

Abbrev

jhse

Publisher

Subject

Health Professions Nursing Public Health

Description

Fokus dan ruang lingkup: JHSE adalah peer-review, jurnal akses terbuka yang berfokus pada topik yang berkaitan dengan ilmu kesehatan dan epidemiologi. Jurnal ini menerbitkan artikel penelitian asli, tinjauan sistematis, meta-analisis, dan komentar editorial tentang topik-topik seperti penyakit ...