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STATCAL

Easy Statistical Application to Educate



STATCAL (Statistical Calculator) is one of free statistical application program.
STATCAL is created using R programming language in RStudio using various R packages to perform graphical and statistical analysis.
STATCAL is an userfriendly statistical application program which is designed as simple as possible so that only need a few step to obtain result.


How to Cite STATCAL
The following Scopus-indexed article provides a brief overview of the STATCAL Statistical Application Program and can be used as a citation reference for STATCAL.
Scopus citation information for Brief Overview of STATCAL Statistical Application Program

Brief Overview of STATCAL Statistical Application Program

Publication: Journal of Physics: Conference Series, Conference Paper, Open Access, 2018.

DOI: 10.1088/1742-6596/1028/1/012244

Authors: Dian Utami Sutiksno; Prana Ugiana Gio; Rezzy Eko Caraka; Ansari Saleh Ahmar.

This article can be used by researchers, students, and practitioners when referring to or citing the STATCAL Statistical Application Program in academic writing, scientific reports, theses, dissertations, and journal articles.

Recommended citation format:
Dian Utami Sutiksno et al 2018 J. Phys.: Conf. Ser. 1028 012244


Python-Streamlit & R-Shinylive Web Apps
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STATCAL ONLINE Innovation
Web-based statistical tools for data analysis, visualization, regression, mapping, browser-based Shiny applications, and scientific reporting.
STATCAL ONLINE is an innovation of STATCAL designed as a web-based statistical computing platform. The latest version is developed through two online application approaches: Python-Streamlit and R-Shinylive. These technologies enable users to access statistical tools directly through a web browser without requiring complex statistical software installation.
Python-Streamlit is used to build interactive statistical web applications with flexible data processing, visualization, and analytical features. In addition, R-Shinylive enables Shiny applications to run directly in the browser, supporting the development of online statistical tools based on the R ecosystem. More information about Shinylive is available on the CRAN page: shinylive: Run 'shiny' Applications in the Browser .
Through STATCAL ONLINE, users can perform data visualization, web page scraping, map generation, descriptive statistical analysis, categorical data analysis, regression analysis, panel data analysis, and other statistical procedures. The platform is developed to support academic, research, and professional activities by providing interactive analytical tools and publication-ready outputs.
✓ Online Access
Run statistical applications directly through a web browser.
✓ Python-Streamlit
Build interactive statistical web applications using Python-based technology.
✓ R-Shinylive
Run Shiny applications in the browser using R-based web technology.
✓ Data Visualization
Create charts, maps, tables, and scientific figures.
✓ Statistical Analysis
Perform descriptive statistics, regression, panel data analysis, and more.
✓ Scientific Reporting
Support academic, research, and professional outputs with publication-ready results.
Explore STATCAL ONLINE →


Articles in Journal Using STATCAL


Email: statcalonline@gmail.com