AdventureWorks Database: Find average bonus and total SalesYTD for each territory

SQL Query - AdventureWorks: Exercise-86 with Solution

86. From the following table write a query in SQL to calculate the average bonus received and the sum of year-to-date sales for each territory. Return territoryid, Average bonus, and YTD sales.

businessentityid|territoryid|salesquota|bonus|commissionpct|salesytd    |saleslastyear|rowguid                             |modifieddate           |
----------------+-----------+----------+-----+-------------+------------+-------------+------------------------------------+-----------------------+
             274|           |          |    0|            0| 559697.5639|            0|48754992-9ee0-4c0e-8c94-9451604e3e02|2010-12-28 00:00:00.000|
             275|          2|    300000| 4100|        0.012|3763178.1787| 1750406.4785|1e0a7274-3064-4f58-88ee-4c6586c87169|2011-05-24 00:00:00.000|
             276|          4|    250000| 2000|        0.015|4251368.5497| 1439156.0291|4dd9eee4-8e81-4f8c-af97-683394c1f7c0|2011-05-24 00:00:00.000|
             277|          3|    250000| 2500|        0.015|3189418.3662| 1997186.2037|39012928-bfec-4242-874d-423162c3f567|2011-05-24 00:00:00.000|
             278|          6|    250000|  500|         0.01|1453719.4653| 1620276.8966|7a0ae1ab-b283-40f9-91d1-167abf06d720|2011-05-24 00:00:00.000|
             279|          5|    300000| 6700|         0.01| 2315185.611| 1849640.9418|52a5179d-3239-4157-ae29-17e868296dc0|2011-05-24 00:00:00.000|
             280|          1|    250000| 5000|         0.01|1352577.1325|  1927059.178|be941a4a-fb50-4947-bda4-bb8972365b08|2011-05-24 00:00:00.000|
             281|          4|    250000| 3550|         0.01|2458535.6169| 2073505.9999|35326ddb-7278-4fef-b3ba-ea137b69094e|2011-05-24 00:00:00.000|
             282|          6|    250000| 5000|        0.015|2604540.7172| 2038234.6549|31fd7fc1-dc84-4f05-b9a0-762519eacacc|2011-05-24 00:00:00.000|
             283|          1|    250000| 3500|        0.012|1573012.9383| 1371635.3158|6bac15b2-8ffb-45a9-b6d5-040e16c2073f|2011-05-24 00:00:00.000|
             284|          1|    300000| 3900|        0.019|1576562.1966|            0|ac94ec04-a2dc-43e3-8654-dd0c546abc17|2012-09-23 00:00:00.000|
             285|           |          |    0|            0| 172524.4512|            0|cfdbef27-b1f7-4a56-a878-0221c73bae67|2013-03-07 00:00:00.000|
             286|          9|    250000| 5650|        0.018|1421810.9242| 2278548.9776|9b968777-75dc-45bd-a8df-9cdaa72839e1|2013-05-23 00:00:00.000|
             287|           |          |    0|            0|  519905.932|            0|1dd1f689-df74-4149-8600-59555eef154b|2012-04-09 00:00:00.000|
             288|          8|    250000|   75|        0.018|1827066.7118| 1307949.7917|224bb25a-62e3-493e-acaf-4f8f5c72396a|2013-05-23 00:00:00.000|
             289|         10|    250000| 5150|         0.02|4116871.2277| 1635823.3967|25f6838d-9db4-4833-9ddc-7a24283af1ba|2012-05-23 00:00:00.000|
             290|          7|    250000|  985|        0.016|3121616.3202| 2396539.7601|f509e3d4-76c8-42aa-b353-90b7b8db08de|2012-05-23 00:00:00.000|

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Sample Solution:

-- Selecting the territory ID, average bonus, and total Year-to-Date (YTD) sales
SELECT TerritoryID, AVG(Bonus) AS "Average bonus", 
       SUM(SalesYTD) AS "YTD sales"  

-- From the Sales schema's SalesPerson table
FROM Sales.SalesPerson  

-- Grouping the results by territory ID
GROUP BY TerritoryID;

Explanation:

• The SQL query retrieves data from the SalesPerson table within the Sales schema.
• It calculates the average bonus and the total Year-to-Date (YTD) sales for each territory.
• The AVG() function calculates the average bonus for each territory.
• The SUM() function calculates the total YTD sales for each territory.
• The GROUP BY clause groups the results by territory ID.

Sample Output:

territoryid|Average bonus         |YTD sales   |
-----------+----------------------+------------+
          8|   75.0000000000000000|1827066.7118|
           |0.00000000000000000000|1252127.9471|
          4| 2775.0000000000000000|6709904.1666|
          3| 2500.0000000000000000|3189418.3662|
          7|  985.0000000000000000|3121616.3202|
         10| 5150.0000000000000000|4116871.2277|
          9| 5650.0000000000000000|1421810.9242|
          1| 4133.3333333333333333|4502152.2674|
          5| 6700.0000000000000000| 2315185.611|
          2| 4100.0000000000000000|3763178.1787|
          6| 2750.0000000000000000|4058260.1825|

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