Visualization of Data Availability on Meteorological and Climatological Observation
Abstract
Data visualization plays a crucial role in supporting the growth and development of a company because it enables organizations to transform raw data into meaningful information for decision-making. Through effective visualization, companies can gain deeper insights into their operational performance and become more proactive in managing the data resources they possess. This study focuses on the development of a dashboard to visualize observational data owned by the Technical Implementation Unit. The main objective of this research is to facilitate users in reading and understanding the catalog of data availability through an interactive visualization system. By utilizing Ben Fry’s data visualization technique, which emphasizes the stages of acquiring, parsing, filtering, mining, representing, refining, and interacting with data, the dashboard is designed to present information in a structured and user-friendly format. The resulting dashboard provides users with a comprehensive overview of observational data availability, including data completeness, update status, and category distribution. Interactive features such as filtering, drill-down analysis, and real-time exploration allow users to quickly identify missing, incomplete, or outdated data records. This significantly improves the efficiency of data monitoring processes compared to conventional tabular reports. Furthermore, the dashboard supports better decision-making by enabling managers and staff to prioritize maintenance activities and ensure data quality standards are achieved. In conclusion, the implementation of an interactive data availability dashboard contributes positively to organizational efficiency by simplifying the processes of identifying, evaluating, and maintaining data completeness. The study demonstrates that combining Business Intelligence concepts, Ben Fry’s visualization methodology, and Tableau software can produce an effective solution for modern data management needs.
