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CVS Health is analyzing its pharmacy sales data, and how well different products are selling in the market. Each drug is exclusively manufactured by a single manufacturer.
Write a query to identify the manufacturers associated with the drugs that resulted in losses for CVS Health and calculate the total amount of losses incurred.
Output the manufacturer's name, the number of drugs associated with losses, and the total losses in absolute value. Display the results sorted in descending order with the highest losses displayed at the top.
If you like this question, try out Pharmacy Analytics (Part 3)!
|25||222331||2753546.00||2974975.36||AbbVie||Lamivudine and Zidovudine|
|50||90484||2521023.73||2742445.90||Eli Lilly||Dermasorb TA Complete Kit|
The first three rows indicate that some drugs resulted in losses. Among these, Biogen had the highest losses, followed by AbbVie and Eli Lilly. However, the Medi-Chord drug manufactured by Biogen reported a profit and was excluded from the result.
The dataset you are querying against may have different input & output - this is just an example!
To determine the total profit or loss for each manufacturer, we can use the formula:
Total Profit/(Total Loss) = Total Sales - Total Cost of Goods Sold
where a positive value indicates profit and a negative value indicates a loss. The query would look like this:
Showing the output for 4 randomly selected drugs:
|AbbVie||Lamivudine and Zidovudine||-221429.36|
|Eli Lilly||Dermasorb TA Complete Kit||-221422.17|
This query will provide a result with the column showing the calculated profit or loss for each drug.
To filter for drugs that are making losses, we can add a clause to keep rows where the is equal to or less than 0, indicating a loss:
This query will return only the rows where the drug is making a loss.
Solution #2: Without ABS()
Alternatively, we can achieve the same result without using the function by switching the cogs and total_sales positions in the function and filtering for rows where in the clause: