Using the orange juice data in "oj_data.csv," the goal is for you to provide visualizations to assist your retailer client in understanding your price recommendations. Using a log-log demand model, you want to estimate demand using all the data, but allowing for (i) a product-specific price elasticity, (iii) separate intercepts by product, (iv) separate intercepts by store, and (v) controls for holiday weeks and display promotion weeks. In other words, you should include the following terms in your regression: intercept (included by default in R), product and store specific dummies (to allow for level of demand to vary by store and product), two different price terms to allow for product-specific price elasticities (i.e. a log(price) term with no interaction and another one interacted with a product dummy) and separate dummies for holiday and display