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ABlea010's avatar
ABlea010
Copper Contributor
Jan 31, 2024

Product function returning 0

Product function keeps returning 0. I've checked that column is formatted numbers and not text. The formula I want is =Product(J5:J6378). It will calculate if I make it say J5:J1000. Is it saying 0 because the range is too big? I'll include numbers below

 

0.6529
0.5378
0.5373
0.5432
0.5054
0.4804
0.6408
0.5318
0.4106
0.4359
0.5549
0.4510
0.5734
0.5084
0.3961
0.4962
0.6053
0.4455
0.3722
0.6707
0.5059
0.6254
0.4128
0.5659
0.5961
0.6145
0.4951
0.3883
0.4889
0.6744
0.5904
0.4760
0.5667
0.5591
0.5958
0.6216
0.3441
0.5590
0.5979
0.5293
0.6220
0.6232
0.6064
0.5806
0.4864
0.4747
0.5367
0.6829
0.4967
0.6013
0.4021
0.6676
0.6027
0.6133
0.4895
0.5810
0.4574
0.4296
0.3481
0.5473
0.4175
0.4573
0.3486
0.4365
0.4226
0.5054
0.4485
0.5452
0.6977
0.4717
0.6105
0.5346
0.5039
0.4872
0.3854
0.4287
0.5911
0.5828
0.4208
0.4033
0.3813
0.3902
0.6471
0.4557
0.5359
0.4689
0.3780
0.5706
0.5995
0.5039
0.5143
0.6815
0.4226
0.4875
0.3925
0.5373
0.6529
0.4838
0.5860
0.4203
0.6601
0.6218
0.5451
0.5021
0.3305
0.5061
0.5810
0.5932
0.4973
0.5786
0.6135
0.5784
0.6105
0.4495
0.5406
0.3381
0.5381
0.4537
0.5862
0.3596
0.4960
0.6226
0.4884
0.4995
0.4784
0.4115
0.6491
0.6298
0.4306
0.3581
0.5545
0.6907
0.4346
0.5542
0.5374
0.6590
0.5261
0.3598
0.6365
0.5163
0.4667
0.5301
0.5504
0.4341
0.5972
0.5634
0.5645
0.5541
0.6392
0.5200
0.5073
0.5294
0.4699
0.5220
0.5370
0.4427
0.4053
0.4089
0.5061
0.5182
0.4775
0.6258
0.6573
0.5051
0.3116
0.3689
0.4579
0.6310
0.4084
0.5369
0.4368
0.5511
0.4585
0.6404
0.6055
0.4961
0.6292
0.5939
0.4841
0.5163
0.5008
0.6056
0.5778
0.5730
0.5153
0.5432
0.3158
0.4535
0.5104
0.4950
0.3996
0.5468
0.5227
0.5859
0.4200
0.6826
0.6091
0.6015
0.5673
0.5332
0.5923
0.6257
0.5964
0.4518
0.3891
0.5691
0.6311
0.4793
0.5530
0.4204
0.5198
0.5078
0.4013
0.5711
0.5189
0.6669
0.6254
0.4503
0.6559
0.5155
0.6218
0.5331
0.5479
0.5134
0.4103
0.5707
0.5239
0.6954
0.4160
0.3479
0.5294
0.5417
0.5694
0.5508
0.6451
0.6682
0.3961
0.6271
0.4678
0.5085
0.4806
0.2730
0.6519
0.5760
0.6758
0.5275
0.5540
0.6228
0.5271
0.5079
0.2787
0.4749
0.4373
0.3867
0.4387
0.6205
0.6182
0.3683
0.4884
0.4568
0.5020
0.5072
0.6057
0.6713
0.4190
0.4141
0.6346
0.3227
0.4857
0.5369
0.5586
0.4898
0.6631
0.4089
0.5979
0.6398
0.5501
0.5494
0.4354
0.6206
0.5627
0.7463
0.4208
0.5144
0.4554
0.5051
0.6146
0.5558
0.4662
0.4430
0.5227
0.5223
0.5405
0.4442
0.3718
0.4548
0.2939
0.5603
0.6611
0.3158
0.4005
0.3916
0.5002
0.4294
0.4078
0.3610
0.5429
0.6078
0.5360
0.4797
0.4704
0.6487
0.5598
0.6572
0.4881
0.3318
0.5707
0.4988
0.5348
0.4931
0.6134
0.3872
0.3989
0.5616
0.5632
0.5670
0.4525
0.6129
0.5557
0.5439
0.5511
0.4746
0.4927
0.6559
0.4676
0.6109
0.5470
0.4847
0.5148
0.4810
0.4769
0.4545
0.5174
0.6592
0.5239
0.4865
0.5213
0.4750
0.3865
0.7160
0.4535
0.6278
0.4710
0.5678
0.5130
0.4866
0.3389
0.5369
0.3412
0.5194
0.6023
0.4971
0.4289
0.4933
0.6189
0.6377
0.4360
0.3466
0.5958
0.6960
0.5429
0.5280
0.4658
0.5649
0.3615
0.5079
0.2587
0.4641
0.6859
0.5903
0.5232
0.5221
0.5805
0.6373
0.5519
0.4215
0.5038
0.5602
0.5367
0.3881
0.6770
0.6390
0.6801
0.4732
0.5591
0.5039
0.5518
0.3120
0.5223
0.4344
0.5725
0.6815
0.5356
0.5882
0.4750
0.6694
0.4497
0.5969
0.5331
0.5985
0.4564
0.6764
0.4688
0.3984
0.5945
0.3561
0.6207
0.4663
0.4852
0.5283
0.4382
0.7321
0.6151
0.5299
0.5533
0.4325
0.3950
0.5676
0.5378
0.4256
0.6530
0.5599
0.4614
0.4373
0.6403
0.6274
0.6460
0.6365
0.5562
0.5144
0.4632
0.4268
0.6245
0.5438
0.6229
0.5430
0.4827
0.6401
0.6834
0.6972
0.6704
0.5786
0.5313
0.5656
0.5173
0.3611
0.5051
0.3874
0.4838
0.5689
0.5029
0.5100
0.5871
0.5656
0.5568
0.3444
0.5638
0.6172
0.5613
0.5191
0.2776
0.4605
0.4815
0.5435
0.5407
0.4802
0.5476
0.4943
0.4305
0.3294
0.5287
0.4561
0.5237
0.6016
0.5696
0.4790
0.6268
0.4706
0.5872
0.6224
0.6002
0.4302
0.4287
0.4497
0.5911
0.4179
0.4864
0.4208
0.4261
0.5955
0.4013
0.4430
0.6236
0.5693
0.5785
0.4782
0.6940
0.6129
0.6531
0.4794
0.4339
0.5487
0.5581
0.5415
0.3424
0.6072
0.5522
0.4030
0.4530
0.5049
0.4244
0.4189
0.5967
0.5823
0.6189
0.4458
0.6011
0.5675
0.6592
0.5685
0.6438
0.4819
0.4828
0.4021
0.6602
0.5068
0.4747
0.5555
0.5420
0.6546
0.4554
0.4655
0.3834
0.4306
0.5158
0.3466
0.6322
0.6289
0.5337
0.5154
0.5060
0.3860
0.5841
0.6529
0.3624
0.5291
0.6585
0.6791
0.5974
0.5300
0.5641
0.6137
0.5342
0.3867
0.5281
0.4039
0.4775
0.3266
0.5342
0.6573
0.5988
0.2750
0.4826
0.5621
0.5115
0.4354
0.3717
0.5662
0.4761
0.5477
0.6128
0.5845
0.4381
0.5490
0.5348
0.6103
0.3092
0.3904
0.5800
0.4547
0.5206
0.4177
0.6109
0.5445
0.4485
0.4362
0.4908
0.5964
0.4175
0.5659
0.4735
0.6418
0.5061
0.5714
0.5976
0.5084
0.5141
0.4535
0.4326
0.4623
0.6438
0.5332
0.3215
0.4109
0.5407
0.6436
0.4205
0.3866
0.4506
0.4896
0.4268
0.6734
0.5795
0.5370
0.5035
0.5723
0.4592
0.5810
0.6245
0.4640
0.5570
0.5371
0.5494
0.3775
0.5862
0.5203
0.4851
0.3670
0.4469
0.4174
0.4413
0.4779
0.5494
0.5429
0.5222
0.4790
0.5746
0.4612
0.5744
0.4796
0.4537
0.6713
0.7413
0.5581
0.4525
0.5068
0.6268
0.5960
0.7075
0.6236
0.4626
0.6788
0.6770
0.6035
0.5483
0.4870
0.5862
0.4631
0.5259
0.5148
0.4024
0.6137
0.5431
0.6385
0.5274
0.3549
0.4884
0.7061
0.6015
0.3863
0.6385
0.5431
0.5274
0.4884
0.7061
0.6015
0.5378
0.3549
0.5346
0.5640
0.5503
0.5659
0.4750
0.3624
0.5711
0.5640
0.4654
0.4497
0.5378
0.5659
0.6376
0.5711
0.5250
0.4726
0.3863
0.5431
0.6451
0.7061
0.3985
0.4497
0.5378
0.5711
0.4750
0.6015
0.4329
0.6436
0.4565
0.4430
0.3564
0.5671
0.5435
0.5570
0.5694
0.4896
0.5342
0.4794
0.4306
0.5104
0.4658
0.4794
0.6436
0.4565
0.5671
0.5694
0.5570
0.4658
0.4896
0.4565
0.4295
0.4992
0.4295
0.5008
0.4931
0.5780
0.4931
0.5780
0.5705
0.5008
0.5069
0.4295
0.5295
0.4705
0.5482
0.5482
0.4705
0.6236
0.5252
0.4889
0.4341
0.5104
0.6611
0.4430
0.4899
0.5492
0.4895
0.4545
0.6469
0.5591
0.3683
0.5272
0.4557
0.4779
0.5290
0.3562
0.4206
0.3481
0.6151
0.4793
0.5050
0.3670
0.6096
0.4870
0.5881
0.5674
0.5504
0.6224
0.5934
0.7075
0.3599
0.5911
0.6271
0.4484
0.4614
0.4208
0.6011
0.4699
0.5239
0.5482
0.4355
0.6363
0.3925
0.6182
0.5198
0.5831
0.3982
0.4859
0.3046
0.6078
0.5435
0.6228
0.5811
0.5568
0.4473
0.4834
0.4701
0.4118
0.6739
0.3746
0.4304
0.7321
0.5569
0.6229
0.4419
0.4405
0.4097
0.5090
0.3616
0.5341
0.6000
0.4302
0.5988
0.5477
0.3583
0.4986
0.4798
0.4499
0.6133
0.6521
0.4236
0.7083
0.4440
0.6103
0.4402
0.4561
0.5758
0.5338
0.4827
0.7463
0.6226
0.4298
0.4384
0.6111
0.5111
0.4157
0.4668
0.5020
0.4725
0.5810
0.6559
0.3837
0.4689
0.4322
0.5083
0.3174
0.4537
0.5038
0.3916
0.6682
0.4834
0.6298
0.4492
0.4152
0.5335
0.6135
0.5322
0.5953
0.4014
0.5119
0.6392
0.4867
0.3891
0.5446
0.5916
0.5197
0.4600
0.4775
0.5260
0.3408
0.4842
0.5645
0.6530
0.5970
0.3946
0.4724
0.6229
0.5178
0.4519
0.5029
0.5025
0.6109
0.6089
0.6675
0.4373
0.5038
0.4190
0.5463
0.6184
0.5377
0.3185
0.5185
0.6330
0.3412
0.5674
0.4995
0.4430
0.4005
0.5136
0.6880
0.4884
0.4265
0.4570
0.4275
0.3755
0.5676
0.5191
0.5395
0.7061
0.5039
0.4949
0.5012
0.5356
0.5061
0.5432
0.4583
0.5049
0.4524
0.4884
0.4026
0.3866
0.5627
0.5059
0.4865
0.5905
0.5333
0.4684
0.4688
0.4640
0.4368
0.4127
0.5149
0.5721
0.6278
0.6220
0.4397
0.4033
0.4503
0.4808
0.5923
0.5733
0.5367
0.5261
0.6529
0.6559
0.5039
0.3466
0.6098
0.3881
0.6235
0.5271
0.4875
0.4981
0.6018
0.5189
0.4756
0.6531
0.5408
0.4741
0.5713
0.5671
0.4497
0.4787
0.3204
0.5792
0.6035
0.4075
0.6176
0.6305
0.5562
0.5969
0.5204
0.6336
0.3549
0.4143
0.6128
0.5227
0.5531
0.4983
0.4885
0.5728
0.4820
0.4757
0.6015
0.5551
0.6742
0.4117
0.3158
0.2776
0.4503
0.6556
0.3012
0.6346
0.5617
0.5060
0.5153
0.6312
0.5997
0.4106
0.4381
0.4200
0.3227
0.6098
0.5202
0.5116
0.5144
0.5884
0.5235
0.4652
0.4898
0.4419
0.4923
0.6682
0.4747
0.5216
0.4190
0.5494
0.5690
0.6187
0.4128
0.4098
0.5290
0.3256
0.4663
0.4881
0.4940
0.5561
0.4286
0.5972
0.4115
0.3293
0.4006
0.4590
0.3964
0.5119
0.6422
0.6056
0.5407
0.4632
0.4647
0.6390
0.4527
0.5388
0.5732
0.5247
0.5979
0.3078
0.5974
0.5823
0.4626
0.3925
0.4631
0.5472
0.4921
0.5447
0.5283
0.5689
0.6714
0.5283
0.4522
0.6151
0.3331
0.6491
0.5369
0.6207
0.5027
0.5287
0.5408
0.5068
0.4842
0.5346
0.4806
0.7213
0.5465
0.6129
0.4787
0.6991
0.5407
0.5805
0.5408
0.6439
0.5983
0.5558
0.5342
0.6186
0.4545
0.4676
0.3705
0.6105
0.5930
0.5206
0.5647
0.6436
0.4387
0.5470
0.7061
0.6365
0.5134
0.5237
0.6308
0.6373
0.4750
0.5492
0.4649
0.3996
0.2961
0.5541
0.4816
0.4726
0.3479
0.5904
0.5108
0.4837
0.3847
0.3651
0.6053
0.4874
0.5346
0.6133
0.4818
0.4442
0.7413
0.6268
0.3399
0.5641
0.5862
0.6770
0.6788
0.3634
0.5659
0.4517
0.4889
0.5374
0.4746
0.4642
0.5599
0.5859
0.5392
0.3863
0.2679
0.4109
0.6311
0.4612
0.3235
0.4852
0.4804
0.6242
0.5155
0.4706
0.6376
0.6785
0.5667
0.4746
0.4790
0.6016
0.4862
0.5432
0.5691
0.6829
0.5295
0.5430
0.4036
0.4171
0.5331
0.4651
0.3209
0.5725
0.4744
0.4561
0.4917
0.5570
0.6295
0.5070
0.4482
0.6631
0.4261
0.4678
0.5969
0.5051
0.5620
0.5478
0.4360
0.5960
0.6024
0.4006
0.4344
0.5711
0.6015
0.5143
0.4980
0.3711
0.5941
0.6392
0.4633
0.5415
0.5370
0.5876
0.4951
0.6403
0.4530
0.5685
0.4553
0.4595
0.7213
0.4365
0.7102
0.6207
0.6572
0.6268
0.5426
0.4078
0.5143
0.4283
0.5587
0.4525
0.5181
0.5410
0.6189
0.4459
0.6270
0.5764
0.5318
0.4797
0.4015
0.4967
0.3662
0.4916
0.5054
0.5294
0.5515
0.5569
0.5429
0.6389
0.5647
0.5089
0.4296
0.4266
0.5691
0.6682
0.7160
0.6206
0.5249
0.6602
0.4189
0.2730
0.4579
0.4826
0.4908
0.4382
0.3490
0.6105
0.4160
0.4318
0.6055
0.6293
0.5587
0.6094
0.3977
0.5649
0.4438
0.5058
0.5694
0.6257
0.4754
0.4329
0.6398
0.5634
0.3158
0.6884
0.5760
0.5348
0.4780
0.3826
0.4949
0.5778
0.4462
0.5911
0.5301
0.7160
0.5587
0.3582
0.5959
0.4561
0.6117
0.5040
0.3389
0.4666
0.4017
0.4922
0.6265
0.4769
0.5616
0.4555
0.5472
0.5796
0.4988
0.4809
0.5544
0.4294
0.6791
0.4575
0.3615
0.4089
0.3093
0.4244
0.6977
0.5825
0.6694
0.6803
0.4254
0.4467
0.4527
0.4138
0.5621
0.5659
0.5964
0.3726
0.5213
0.6406
0.4354
0.4569
0.4305
0.5640
0.6611
0.4489
0.6972
0.5969
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excel
Formulas and Functions

6 Replies

  • NikolinoDE's avatar
    NikolinoDE
    Platinum Contributor
    Jan 31, 2024

    ABlea010 

    The problem is due to the precision of the number representation in Microsoft Excel. Excel uses a floating-point representation for numbers that lie within a certain range between 0 and 1. When you calculate the product of a large number of numbers, the errors in the representation of the numbers can add up and lead to a result of 0.

    In your case, the values in the cells from J5 to J6000 are all within the range of 0 and 1. When you use the formula =PRODUCT(J5:J6000), these values are multiplied in one step. With a large number of numbers, this can lead to errors in the representation. These errors can become so large that the result becomes 0.

    To avoid this problem, you can split the formula =PRODUCT(J5:J6000) into multiple steps. In each step, you should only multiply a limited number of numbers. This can help to reduce the errors in the representation.

    Here is an example of a formula that solves the problem:

    =PRODUCT(J5:J1000) * PRODUCT(J1001:J2000) * ... * PRODUCT(J5901:J6000)

    This formula multiplies the numbers in the cells from J5 to J1000, then the numbers from J1001 to J2000, and so on. This can help to reduce the sum of errors and the result is more likely to be correct.

     

    Another way to solve the problem is to normalize the numbers in the cells before multiplying them. Normalization means that the numbers are scaled to a range between 0 and 1. This can help to reduce the errors in the representation.

    Here is an example of a formula that normalizes the numbers:

    =PRODUCT((J5-MIN(J5:J6000))/(MAX(J5:J6000)-MIN(J5:J6000)))

    This formula calculates for each cell the relative value to the smallest and largest value in the range. The relative value is then scaled to between 0 and 1. The formula =PRODUCT() can then be used with the normalized values. AI was partially deployed to support the text

    Which method you use depends on the specific requirements of your problem.

     

    My answers are voluntary and without guarantee!

     

    Hope this will help you.

    Was the answer useful? Mark as best response and Like it!

    This will help all forum participants.

     

    AI was partially deployed to support the text.

    • JoeUser2004's avatar
      JoeUser2004
      Bronze Contributor
      Jan 31, 2024

       

      ABlea010:  Note the corrections below.

       

      NikolinoDE  wrote:  "AI was partially deployed to support the text."

       

      The usual GIGO from "AI" -- at least, free chatGPT.

       

      I am always skeptical of "AI" results, and I always check the results carefully.  Of course, that presumes that I have the skills myself to check the results.  If I don't, I don't rely on the "AI" results.

       

      -----

      Presumably AI wrote:

      =PRODUCT((J5-MIN(J5:J6000))/(MAX(J5:J6000)-MIN(J5:J6000)))

      [....] The relative value is then scaled to between 0 and 1.

       

      Right!  And since 0 is indeed one of the multicands, the product of the "normalized" data must be zero, even when the product of the original is not (!).

       

      So, this is not a valid alternative.  It is a misdirection.  I've seen such "garbage out" every one of the few times that I've experimented with (free) chatGPT, just out of curiosity.  It scares me that anyone relies on it.  I believe that "AI" will be the next Theranos.

       

      -----

      Presumably AI wrote:

      =PRODUCT(J5:J1000) * PRODUCT(J1001:J2000) * ... * PRODUCT(J5901:J6000)

      [....] This can help to reduce the sum of errors and the result is more likely to be correct.

       

      Only under specific conditions.

       

      With ABlea010's data in its original order, since the product of the first two subsets results in zero due to floating-point underflow, the product of all the sub-products must be zero.

       

      And that is true, even if we reorder ABlea010's data, for the reasons that HansVogelaar  explained so well.

       

      [EDIT] In contrast, the product of sub-products, possibly with reordered data, might improve the result if some of the data were greater than one.

      • NikolinoDE's avatar
        NikolinoDE
        Platinum Contributor
        Feb 01, 2024

        JoeUser2004 

        “The power of artificial intelligence is so incredible that it will transform society in profound ways.”

        – Bill Gates

         

        Spring in AI is the most important development in computer science in my lifetime. Every month there are amazing new applications and transformative new techniques, as well as huge advancements in existing technologies. A tool that can develop tools. A tool that can also bring fear, fear in people who see it as their helplessness in their own further development.

         

        It is so easy to teach others and so difficult to teach ourselfs.

        For some people, the world is a stage play in which only they play the main role.

         

        Nevertheless, I thank you for the corrections.

        Knowing that you don't know anything is the highest thing. Lao Tzu

  • HansVogelaar's avatar
    HansVogelaar
    MVP
    Jan 31, 2024

    ABlea010 

    All numbers are less than 1, so with each multiplication, the product becomes smaller.

    The product of the first 1049 cells is 3.14250325815931E-308.

    The product of the first 1050 cells is smaller than 2.2251E-308, the smallest positive number that Excel can handle, so Excel rounds the result to 0.

    For more than 1050 cells, the result remains 0.

    (JoeUser2004 will probably correct me)

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