Is this necessarily indicative of a regional preference? What lurking variables or confounders could there be?

Use the data file below to follow along with the tutorial and replicate the Pivot Tables shown as close as you can. Work each section on a new worksheet.
Quant Check 6 Pivot Table Data.xlsx  Download Quant Check 6 Pivot Table Data.xlsx
The data contains information about produce sales for a given company to various regions in a given sales year.

Modify your table using “Show Values as” so that you can meaningfully compare the split between categories across regions which have different subtotals.
Recode the “Category Recode” column in the spreadsheet to a 0/1 “dummy” coding, choosing “fruit” as the “1” category. Relabel the column so it is titled “Fruit”.
Create a Pivot Table which calculates total orders in each region, and then uses this “dummy” variable with the Sum and Average functions to calculate the number and percentage.
Create a Pivot Table which calculates the average sales per order for each product category  across the 7 sales regions. Also answer  whether there could be anything to explain the differences in the $ sales between categories across the 7 regions–is this necessarily indicative of a regional preference? What lurking variables or confounders could there be?