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SALES DATA PRODUCT TABLE The data is pretty straight forward: The Product ID Column is common between 2 tables, Since all Product prices are in

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SALES DATA PRODUCT TABLE The data is pretty straight forward: The Product ID Column is common between 2 tables, Since all Product prices are in dollars, consider an exchange rate of 66 Rupees for 1 Dollar Answer the following questions. Provide screenshots, where relevant A. Calculate Monthly Commission Payout. Note that commission is only paid on sales done via "Affiliates" channel B. Show Maximum Selling Product Name and its Sales month wise. C. How many high selling days were there in each month. High Selling Day = Total Sales of a Day > \$100. (For e.g., 6 Jan 2011 was a high selling day because the total sales were more than $100 ) SALES DATA PRODUCT TABLE The data is pretty straight forward: The Product ID Column is common between 2 tables, Since all Product prices are in dollars, consider an exchange rate of 66 Rupees for 1 Dollar Answer the following questions. Provide screenshots, where relevant A. Calculate Monthly Commission Payout. Note that commission is only paid on sales done via "Affiliates" channel B. Show Maximum Selling Product Name and its Sales month wise. C. How many high selling days were there in each month. High Selling Day = Total Sales of a Day > \$100. (For e.g., 6 Jan 2011 was a high selling day because the total sales were more than $100 )

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