We wanted to test whether a single custom visualization could behave like a dashboard experience, instead of stitching together many separate tiles. The goal was an app-like flow: a “Student Overview” card wall with search/filtering and a drill-down “Student Progress Detail” in the same visual context. I hope you all enjoy…
1. Which dataset did you use? I used the Digital Lifestyle Benchmark Dataset authored by Tarek Masry and hosted on the Hugging Face platform. Used under the CC BY 4.0 license, this dataset allows research and commercial use with proper credit. Accordingly, I have included author attributions in the footer of every analysis…
1. Which dataset did you use? I used a custom dataset named DS_IPD_01, built on a simulated enterprise IPD (Integrated Product Development) database. The dataset contains 7 interconnected tables: Projects, Tasks, Risk_Register, Resource_Allocation, Phase_Gate_Reviews, BOM_Cost, and Monthly_Metrics — covering 10 hardware…
1. Which dataset did you use? I used the Spend Transactions dataset provided for the Challenge. 2. How did you analyze or prepare the data?I structured the Spend Transactions fields into analysis-ready attributes and measures, then built interactive views to analyze spend by invoice date, supplier, and category. The…
Welcome to Value Chain Bridge! This dashboard breaks down departmental silos by integrating Frontend Marketing (RFM), Inventory Diagnostics (ABC/XYZ/FSD/PLC), and Backend Procurement (A.T. Kearney's Chessboard) into a single, interactive What-If Simulation Engine. Leveraging OAC's Canvas Data Actions, it seamlessly bridges…
This dashboard provides a comprehensive view of Artificial Intelligence evolution across Growth, Economic Impact, and Governance. It integrates global research trends, investment patterns, workforce transformation, and policy developments into a unified analytical platform. Global AI landscape through power distribution…
I noticed that our communications office created a one-off visual ring chart for our Match Day communications and wanted to recreate that fast, at-a-glance readability in Oracle Analytics with a custom visualization focused on progress and breakdowns. I view this as a great method for conveying percentages across…
1. Which dataset did you use? I used publicly available, authoritative global datasets, integrated into a single analytical model: World Bank – unemployment rates and macroeconomic indicators ILO (International Labour Organization) – employment and labor force statistics OECD – productivity and workforce-related indicators…
I was inspired by some of the visualizations that our research faculty designed and wanted to see if I could reproduce it in Oracle Analytics. See the link I posted for an explanation of the use of an Upset Chart by one of its originators since it is better than I could put into words here. Which dataset did you use? An…
1.Which dataset did you use? Evolution of the EV Vehicle in United States 2. How did you analyze or prepare the data? Downloaded from Data.Gov, and make use of Insights, and the Best Visualizations and the reports used in Market 3. Who is the intended audience for your visualization? Analysts, policymakers, and automotive…