In this study, we perform Market Basket Analysis in a supermarket, and find associations between different product categories by using Apriori and Éclat algorithms, and represent the findings by using Tableau program was used to represent the data graphically data visualization tool. We first analyzed the point of sales data (POS) data to see which SKUs are purchased together, and we categorize the SKUs into main product categories to find the associations between products. After finding the associations among product categories, we redesign the store layout based on these findings, and calculated the distance traveled by a typical customer to choose the best store layout.  It turns out that the first layout alternative tends to improve the walking distance by an average of 13.3%, for a typical customer, the second one will improve the distance traveled by 8% on average.