Comparación de ETE y TAC frente a QX en reparación aórtica

This is a post about the process of collecting measurements. The examples use weights but we face similar challenges with all of our measures. People often talk about the time spent cleaning data but even before this you need to understand where your data comes from and where errors can be introduced.

This project examines how retail fuel station performance drives daily liquidity within the treasury function of a Nigerian downstream oil and gas company. Using station-level sales data for October–December 2025, the analysis applies exploratory data analysis, visualization, hypothesis testing, correlation, and regression to identify the true drivers of cash inflows.