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…
How did you analyze or prepare the data? I cleaned the data by removing missing values and correcting errors. Then I organized the columns properly and created key calculations like total revenue, average spend, total visitors, and average rating. I also used a visibility parameter to control which visuals are shown based…
These dashboards provide a comprehensive view of sales performance across products, customers, channels, and regions. It enables business and operations leaders to identify key revenue drivers, understand demand patterns, and evaluate performance across multiple dimensions. The analysis supports data-driven decisions to…
These dashboards analyze auto insurance performance by linking premiums, claims, and customer risk profiles through the Loss Ratio metric. It provides a structured view of where profitability is generated or lost, highlighting high-risk segments, geographic concentrations, and key drivers of claim costs. The analysis…
Built on my own dataset — AAA Reviews and Invoices — this dashboard was designed for a Sales & Marketing VP who needs fast, authoritative answers without switching tools, digging through reports, or losing the narrative. To power the analysis, I built a suite of custom calculations covering sales performance,…
1. Which dataset did you use? I used a dataset of aggregated telemetry data from Oracle Fusion which enables the calculation of various AI metrics. For this visualisation competition, I focused on two monthly aggregated measures: Cumulative AI-assisted tasks completed (by task type) Distinct AI users Additional context on…
1. Which dataset did you use? Life Science: Case Info dataset provided by Oracle (although I had to export it to amend some weird dates that was causing issues on joints). 2. How did you analyze or prepare the data? I used Oracle Analytics Auto-Insights and Explain to surface key patterns and understand the data structure.…
1. Which dataset did you use? Superstore Dataset provided by Oracle 2. How did you analyze or prepare the data? I used Explain, Auto-Insights and the AI-Assistant. 3. Who is the intended audience for your visualization? Superstore Sales manager. 4. What is your visualization about, and what question or problem does it…