Key takeaway: The data shows that certain products are strongly associated with specific categories, which can help in targeted marketing and inventory management. The data indicates that grouping products by their topic classification significantly affects the distribution of products across categories. Fourteen product categories show notable differences when grouped this way. For instance, the percentage of Printers in the Office Equipment category is 100%, which is a significant increase from its overall average of 6%. Similarly, External Hard Drives are 100% in the Storage Devices category, compared to their overall average of 10%. Laptops are 100% in the Other category, a substantial increase from their overall average of 10%. Tablets are 100% in the Computing Devices category but are absent (0%) in Office Equipment, Office Furniture, Other, Computer Accessories, and Storage Devices categories, which is a notable decrease from their overall average of 16%. Desks and Chairs show significant increases in the Office Furniture category, with Desks at 56% and Chairs at 44%, compared to their overall averages of 10% and 8%, respectively. Keyboards, Monitors, and Headphones show moderate increases in the Computer Accessories category, with Keyboards at 32%, Monitors at 30%, and Headphones at 25%, compared to their overall averages of 13%, 12%, and 10%, respectively. The statistical test results indicate that these differences are significant for most products, except for Headphones and Mouse, where the p-values are higher than the Bonferroni threshold, suggesting that their differences might not be statistically significant. This analysis can be useful for making informed decisions about product placement, marketing strategies, and inventory management based on the strong associations between products and their categories.