SHINY OFFICE-R: A Web-based Data Mining Tool for Exploring and Visualizing Company Profiles

DOI

10.2991/acsr.k.220202.028How to use a DOI?

Keywords

Office statistics; Performance indicators; Graphical visualization; Cluster; Path analysis; Company profile; Structural Equation Model (SEM); Web

Abstract

The profile of institutions or companies are often measured internally, nationally and internationally using several indicators that may be changed over time. We develop SHINY OFFICE-R a Web-GUI (Graphical User Interface) using R software to explore and visualize data on institution performance/ profile. Graphical visualization (such as bar-plot, line-plot, histogram, biplot and path diagram) can help a lot in gaining the insight of the data. The programs are flexible to accommodate different types of indicators that may be assigned for broad types of institutions and companies. In this paper we describe the main features of the program and illustrate application of the GUI using simulated data having various type of performance indicators (say local, national and international indicators). Various graphics visualizations are illustrated according to the objective of data explorations. Furthermore, our web GUI will be available online, so that it can be easily accessed and applied to explore and visualized the profile of users’ institutions or companies that possibly have different types of indicators.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - I Made Tirta
AU  - Mohamad Fatekurahman
AU  - Khairul Anam
AU  - Bayu Taruna Widjaja Putra
PY  - 2022
DA  - 2022/02/08
TI  - SHINY OFFICE-R: A Web-based Data Mining Tool for Exploring and Visualizing Company Profiles
BT  - Proceedings of the  International Conference on Mathematics, Geometry, Statistics, and Computation (IC-MaGeStiC 2021)
PB  - Atlantis Press
SP  - 146
EP  - 151
SN  - 2352-538X
UR  - https://doi.org/10.2991/acsr.k.220202.028
DO  - 10.2991/acsr.k.220202.028
ID  - Tirta2022
ER  -