AdventureWorks Database: Find the statistical variance of the sales quota for each quarter

SQL Query - AdventureWorks: Exercise-108 with Solution

108. From the following table, write a query in SQL to return the quota date (Year), quarter, and sales quota for a specific salesperson. Additionally, calculate the population variance of the sales quota over the quarters for the year 2012 for this salesperson. Filter the results for the salesperson with businessentityid 277 and the year 2012. Order the results by quarter.

businessentityid|quotadate              |salesquota|rowguid                             |modifieddate           |
----------------+-----------------------+----------+------------------------------------+-----------------------+
             274|2011-05-31 00:00:00.000|     28000|99109bbf-8693-4587-bc23-6036ec89e1be|2011-04-16 00:00:00.000|
             274|2011-08-31 00:00:00.000|      7000|dfd01444-8900-461c-8d6f-04598dae01d4|2011-07-17 00:00:00.000|
             274|2011-12-01 00:00:00.000|     91000|0a69f453-9689-4ccf-a08c-c644670f5668|2011-10-17 00:00:00.000|
             274|2012-02-29 00:00:00.000|    140000|da8d1458-5fb9-4c3e-9ead-8f5ce1393047|2012-01-15 00:00:00.000|
             274|2012-05-30 00:00:00.000|     70000|760cef84-b980-417b-a667-7358c38857f0|2012-04-15 00:00:00.000|
             274|2012-08-30 00:00:00.000|    154000|fb29e024-f26a-49aa-a7cc-c99ae7ba4853|2012-07-16 00:00:00.000|
             274|2012-11-30 00:00:00.000|    107000|13947d2c-a254-47c9-8817-cbd186ffa526|2012-10-16 00:00:00.000|
             274|2013-02-28 00:00:00.000|     58000|bc1a222f-47a0-48d1-9c56-ac873269dc98|2013-01-14 00:00:00.000|
             274|2013-05-30 00:00:00.000|    263000|8b4e3cbf-f0ef-49c5-9a8c-87679055057e|2013-04-15 00:00:00.000|
             274|2013-08-30 00:00:00.000|    116000|e9de95e3-b119-4441-bd1d-b27fc4516022|2013-07-16 00:00:00.000|
             274|2013-11-30 00:00:00.000|     84000|7cea47b5-8391-4414-a866-ff6ec6628cd3|2013-10-16 00:00:00.000|
             274|2014-03-01 00:00:00.000|    187000|0cfb6474-20aa-46d3-a5c0-29dba2eda025|2014-01-15 00:00:00.000|
-- more --

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Sample Solution:

-- Selecting specific columns from the salespersonquotahistory table
SELECT 
    -- Alias for the quotadate column as Year
    quotadate AS Year, 
    -- Extracting the quarter part from the quotadate and aliasing it as Quarter
    date_part('quarter', quotadate) AS Quarter, 
    -- Selecting SalesQuota column
    SalesQuota AS SalesQuota,  
    -- Calculating the population variance of SalesQuota over the years and quarters
    var_pop(SalesQuota) OVER (
        -- Ordering the data by year and quarter
        ORDER BY date_part('year', quotadate), date_part('quarter', quotadate)
    ) AS Variance  
-- Filtering data for a specific salesperson identified by businessentityid
FROM 
    sales.salespersonquotahistory  
-- Filtering records for the salesperson with ID 277 and the year 2012
WHERE 
    businessentityid = 277 
    AND date_part('year', quotadate) = 2012  
-- Ordering the result set by quarter
ORDER BY 
    date_part('quarter', quotadate);

Explanation:

• This SQL code operates on a table named sales.salespersonquotahistory.
• It retrieves data related to sales quotas for a specific salesperson (identified by businessentityid) for the year 2012.
• The retrieved data includes the year (quotadate aliased as Year), quarter (extracted from quotadate and aliased as Quarter), sales quota (SalesQuota), and the population variance of sales quotas (Variance) over the years and quarters.
• The population variance is calculated using the var_pop function, which calculates the variance of a population.
• The result set is ordered by quarter.

Sample Output:

year                   |quarter|salesquota|variance             |
-----------------------+-------+----------+---------------------+
2012-02-29 00:00:00.000|    1.0|    952000|                    0|
2012-05-30 00:00:00.000|    2.0|   1600000|104976000000.00000000|
2012-08-30 00:00:00.000|    3.0|   1352000| 71267555555.55555556|
2012-11-30 00:00:00.000|    4.0|    839000| 93529187500.00000000|

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