Abd Rahman, Muhammad Ashraf and Othman, Mahfudzah
(2023)
Obesity levels during COVID-19 based on eating habits and physical condition dashboard.
In:
Research Exhibition in Mathematics and Computer Sciences (REMACS 6.0).
Faculty of Computer and Mathematical Sciences, UiTM Cawangan Perlis, pp. 11-12.
ISBN 978-629-97440-5-4
Abstract
According to this study, Body mass Index (BMI) status increased with rising prevalence of overweight during the COVID-19 pandemic. Furthermore, the only thing that significantly altered BMI status throughout this pandemic was following a suitable eating plan. As a result, by utilizing Power Bi as a data visualization platform, the data acquired from Kaggle can be simply viewed. As a result, one of them is producing this data visualization to open the eyes of the responsible body to be more sensitive to obesity. In addition to data visualization, data visualization aids in drawing conclusions and seeing viewpoints fast.
Metadata
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Abd Rahman, Muhammad Ashraf UNSPECIFIED Othman, Mahfudzah UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Database management |
| Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences |
| Page Range: | pp. 11-12 |
| Keywords: | Body Mass Index (BMI) |
| Date: | 2023 |
| URI: | https://ir.uitm.edu.my/id/eprint/138060 |
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