
Developed an automated data refresh feature for the Election Night dashboard in the BPR-Data-Team/Election-Night repository, focusing on real-time data management and dashboard reliability. The work involved refactoring server-side R code to replace legacy event-driven updates with a periodic two-minute refresh, utilizing reactive values and observers in R Shiny. This approach ensured that election data remained consistently up to date without manual intervention, supporting timely decision-making. Leveraging skills in dashboard development, R, and JavaScript, the implementation improved data consistency and reduced operational overhead, demonstrating a methodical approach to enhancing real-time data workflows within a critical reporting application.
November 2024: Key feature delivery for Election Night dashboard focused on automatic data freshness. Replaced the previous event-driven update with a periodic two-minute refresh using reactive values and an observer in server-side R, enabling near real-time updates and reducing manual refresh overhead. The change improves data consistency and dashboard reliability for timely decision-making in elections. Repository: BPR-Data-Team/Election-Night. Commit reference: 6e68296d3e923bd2db68871c6bda552f56815b44 (fix).
November 2024: Key feature delivery for Election Night dashboard focused on automatic data freshness. Replaced the previous event-driven update with a periodic two-minute refresh using reactive values and an observer in server-side R, enabling near real-time updates and reducing manual refresh overhead. The change improves data consistency and dashboard reliability for timely decision-making in elections. Repository: BPR-Data-Team/Election-Night. Commit reference: 6e68296d3e923bd2db68871c6bda552f56815b44 (fix).

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