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.

This is a report for the course. In this report, I downloaded the Coursera-SwiftKey.zip file, unzipped it, and loaded the Twitter, blogs, and news documents from the ‘en_US’ folder. I then computed line counts, word counts per line, and created histograms to visualize the distribution of document lengths for each data source. Finally, I computed the total word counts.