Forum Discussion

Tony2021's avatar
Tony2021
Iron Contributor
Jul 17, 2023
Solved

Variance by Month

Hello Experts,

 

I have attached a pared down db with 2 tables and 2 queries. 

What I want to do is show the variance between the Amount for each month.  

For example, show the variance between tblDraws.Amount vs tblDrawsFCModel.AmountFC but summed by month.  The number of months are different between the tables meaning that tblDraws has more data than tblDrawsFCModel (this is not material though...just FYI).  I have 2 queries and these are the data sets I need to compare. 

 

I tried making a Union but I dont think this is the solution. 

 

Grateful for the help. 

Let me know if there are any questions. 

 

  • Tony2021 

    Is that you, Tony with the big numbers?

     

    Anyway, first create a query, qryDrawsMonth:

     

     

    SELECT DateSerial(Year([FundingDate]),Month([FundingDate])+1,0) AS FundingMonth, Sum(tblDraws.Amount) AS AmountActual
    FROM tblDraws
    WHERE (((tblDraws.Type)="Loan" Or (tblDraws.Type)="LDC") AND ((tblDraws.Amount)<>0))
    GROUP BY DateSerial(Year([FundingDate]),Month([FundingDate])+1,0);

     

     

    Then use this in yet a query, qryVarianceMonth:

     

     

    SELECT qryDrawsMonth.FundingMonth, tblDrawsFCModel.AmountFC, qryDrawsMonth.AmountActual, [AmountActual]-[AmountFC] AS Variance
    FROM qryDrawsMonth 
    LEFT JOIN tblDrawsFCModel ON qryDrawsMonth.FundingMonth = tblDrawsFCModel.DrawDtFC;

     

     

    to obtain your variance:

    qryVarianceMonthFundingMonth AmountFC AmountActual Variance
    2021-09339.081.952,00472.600.000,00133.518.048,00
    2021-10245.781.440,0052.300.000,00-193.481.440,00
    2021-1195.818.376,0090.800.000,00-5.018.376,00
    2021-12118.605.588,00110.800.000,00-7.805.588,00
    2022-0170.590.278,0018.000.000,00-52.590.278,00
    2022-0236.230.702,0015.800.000,00-20.430.702,00
    2022-0356.966.827,0016.200.000,00-40.766.827,00
    2022-0442.533.517,0010.700.000,00-31.833.517,00
    2022-0562.181.186,0025.000.000,00-37.181.186,00
    2022-0689.889.856,0083.400.000,00-6.489.856,00
    2022-0749.974.639,0019.100.000,00-30.874.639,00
    2022-08159.237.465,0062.000.000,00-97.237.465,00
    2022-09118.466.128,00145.900.000,0027.433.872,00
    2022-10179.382.175,0085.600.000,00-93.782.175,00
    2022-1160.929.308,0072.000.000,0011.070.692,00
    2022-1299.828.733,00162.600.000,0062.771.267,00
    2023-01130.116.940,0058.000.000,00-72.116.940,00
    2023-02144.821.454,0063.000.000,00-81.821.454,00
    2023-03102.897.205,0077.400.000,00-25.497.205,00
    2023-04105.321.485,0048.000.000,00-57.321.485,00
    2023-0535.378.753,0094.400.000,0059.021.247,00
    2023-06 85.300.000,00 
    2023-07 66.500.000,00 

4 Replies

  • Gustav_Brock's avatar
    Gustav_Brock
    Iron Contributor

    Tony2021 

    It doesn't sound like you think of the mathematical variance - as explained, for example, at https://www.scribbr.com/statistics/variance/

    So, could you provide some sample data and the expected results, please?

    • Tony2021's avatar
      Tony2021
      Iron Contributor

      Gustav_Brock 

       

      Hello there Mr Gustav, good to hear you chime in.
      You are correct. It is not the variance as described by Scribbr.
      Its just simply A - B.

      Let me know if you have any other questions.  

      thank you Gustav. 

       

      here is an example using the data in the access file:

      grouped by month and show difference ("variance")

      DateForecastActualVariance
      Sep-21$339,081,951.99$472,600,000.00133,518,048.01
      Oct-21$245,781,440.49$52,300,000.00-193,481,440.49
      Nov-21$95,818,376.19$90,800,000.00-5,018,376.19
      Dec-21$118,605,587.96$126,600,000.007,994,412.04
      Jan-22$70,590,277.95$18,000,000.00-52,590,277.95
      Feb-22$36,230,702.49$37,200,000.00969,297.51
      Mar-22$56,966,826.73$30,200,000.00-26,766,826.73
      Apr-22$42,533,517.28$10,700,000.00-31,833,517.28
      May-22$62,181,186.06$25,000,000.00-37,181,186.06
      Jun-22$89,889,856.37$83,400,000.00-6,489,856.37
      Jul-22$49,974,638.96$19,100,000.00-30,874,638.96
      Aug-22$159,237,465.37$80,000,000.00-79,237,465.37
      Sep-22$118,466,128.45$145,900,000.0027,433,871.55
      Oct-22$179,382,175.25$85,600,000.00-93,782,175.25
      Nov-22$60,929,308.20$72,000,000.0011,070,691.80
      Dec-22$99,828,733.11$162,600,000.0062,771,266.89
      Jan-23$130,116,940.03$58,000,000.00-72,116,940.03
      Feb-23$144,821,454.02$63,000,000.00-81,821,454.02
      Mar-23$102,897,205.00$34,900,000.00-67,997,205.00
          
      • Gustav_Brock's avatar
        Gustav_Brock
        Iron Contributor

        Tony2021 

        Is that you, Tony with the big numbers?

         

        Anyway, first create a query, qryDrawsMonth:

         

         

        SELECT DateSerial(Year([FundingDate]),Month([FundingDate])+1,0) AS FundingMonth, Sum(tblDraws.Amount) AS AmountActual
        FROM tblDraws
        WHERE (((tblDraws.Type)="Loan" Or (tblDraws.Type)="LDC") AND ((tblDraws.Amount)<>0))
        GROUP BY DateSerial(Year([FundingDate]),Month([FundingDate])+1,0);

         

         

        Then use this in yet a query, qryVarianceMonth:

         

         

        SELECT qryDrawsMonth.FundingMonth, tblDrawsFCModel.AmountFC, qryDrawsMonth.AmountActual, [AmountActual]-[AmountFC] AS Variance
        FROM qryDrawsMonth 
        LEFT JOIN tblDrawsFCModel ON qryDrawsMonth.FundingMonth = tblDrawsFCModel.DrawDtFC;

         

         

        to obtain your variance:

        qryVarianceMonthFundingMonth AmountFC AmountActual Variance
        2021-09339.081.952,00472.600.000,00133.518.048,00
        2021-10245.781.440,0052.300.000,00-193.481.440,00
        2021-1195.818.376,0090.800.000,00-5.018.376,00
        2021-12118.605.588,00110.800.000,00-7.805.588,00
        2022-0170.590.278,0018.000.000,00-52.590.278,00
        2022-0236.230.702,0015.800.000,00-20.430.702,00
        2022-0356.966.827,0016.200.000,00-40.766.827,00
        2022-0442.533.517,0010.700.000,00-31.833.517,00
        2022-0562.181.186,0025.000.000,00-37.181.186,00
        2022-0689.889.856,0083.400.000,00-6.489.856,00
        2022-0749.974.639,0019.100.000,00-30.874.639,00
        2022-08159.237.465,0062.000.000,00-97.237.465,00
        2022-09118.466.128,00145.900.000,0027.433.872,00
        2022-10179.382.175,0085.600.000,00-93.782.175,00
        2022-1160.929.308,0072.000.000,0011.070.692,00
        2022-1299.828.733,00162.600.000,0062.771.267,00
        2023-01130.116.940,0058.000.000,00-72.116.940,00
        2023-02144.821.454,0063.000.000,00-81.821.454,00
        2023-03102.897.205,0077.400.000,00-25.497.205,00
        2023-04105.321.485,0048.000.000,00-57.321.485,00
        2023-0535.378.753,0094.400.000,0059.021.247,00
        2023-06 85.300.000,00 
        2023-07 66.500.000,00 

Resources