# Excel - Score or Rank

Hi Experts

I have a data set which has got Two Columns, named - Product and Value % Change, respectively.

I am looking for some DIFFERENT METHODS which could be used for Ranking this data from 1 to 100, in such a manner that the Highest Positive Value gets the Highest Score i.e. 100 and the Lowest Value " it would be negative value in this data set" should get the Lowest Score of 0.

Can you please provide me some ideas in this regards. What could be various methods that could be used for such ranking purpose.

Any ideas are most welcome. If you could provide any links where such methods are described, then that would be a great help too.

I am using the following software versions -
Microsoft SQL Server Management Studio version-  12.0.2000.8,
Microsoft Office 2016 x64
and Windows 7 x64

I have attached the Excel File having the data.
Excel---Rank-or-Score.xlsx

Thanks
###### Who is Participating?

Commented:

=RANK(D2, D\$2:D\$231,1)

...where D2 is the value and D\$2:D\$231 contains the range of values to rank. The "1" indicates that the highest number on the range is ranked the highest. This assigns a number of 1 to n, where n is the number of points being ranked. If you want a rank between 1 and 100, use this formula...

=INT(RANK(D2, D\$2:D\$231,1)/COUNT(D\$2:D\$231)*100)

...but note that you will end up with different numbers with the same rank when you are ranking >100 values.
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freelancerCommented:
Using a SQL Server query there are several opportunities:

rank() over()
dense_rank() over()
ntile() over()

But I think you want NTILE(100) OVER()

``````select
Product, Value_Change,ntiled_100
from (
select
Product, Value_Change
, ntile(100) over(order by Value_Change) as ntiled_100
from YourTable
) d
order by ntiled_100 DESC, Product, Value_Change
``````
Example Result
``````Messages
Product Value_Change ntiled_100
------- ------------ ----------
A191    19           100
A37     6            100
A119    4            99
A80     6            99
A48     4            98
A83     4            98
A158    4            97
A196    4            97
A155    3            96
A174    3            96
A179    3            95
A6      3            95
A20     3            94
A29     3            94
A55     3            93
A71     3            93
A51     2            92
A52     2            92
A41     2            91
A59     2            91
A24     2            90
A73     2            90
A126    2            89
A97     2            89
A113    2            88
A114    2            88
A178    2            87
A184    2            87
A169    2            86
A203    2            86
A197    1            85
A201    1            85
A187    1            84
A195    1            84
A163    1            83
A210    1            83
A150    1            82
A162    1            82
A156    1            81
A170    1            81
A172    1            80
A227    1            80
A120    1            79
A133    1            79
A118    1            78
A124    1            78
A106    1            77
A109    1            77
A105    1            76
A79     1            76
A1      1            75
A15     1            75
A27     1            74
A69     1            74
A39     1            73
A58     1            73
A45     1            72
A50     0            72
A49     0            71
A54     0            71
A43     0            70
A44     0            70
A38     0            69
A42     0            69
A64     0            68
A65     0            68
A62     0            67
A63     0            67
A60     0            66
A61     0            66
A56     0            65
A57     0            65
A23     0            64
A72     0            64
A21     0            63
A22     0            63
A25     0            62
A30     0            62
A33     0            61
A36     0            61
A10     0            60
A7      0            60
A13     0            59
A9      0            59
A12     0            58
A19     0            58
A18     0            57
A89     0            57
A46     0            56
A91     0            56
A81     0            55
A82     0            55
A74     0            54
A75     0            54
A104    0            53
A78     0            53
A102    0            52
A103    0            52
A108    0            51
A96     0            51
A107    0            50
A93     0            50
A115    0            49
A125    0            49
A123    0            48
A98     0            48
A121    0            47
A122    0            47
A111    0            46
A112    0            46
A110    0            45
A132    0            45
A130    0            44
A131    0            44
A128    0            43
A129    0            43
A127    0            42
A138    0            42
A136    0            41
A137    0            41
A143    0            40
A144    0            40
A140    0            39
A142    0            39
A225    0            38
A226    0            38
A229    0            37
A230    0            37
A176    0            36
A177    0            36
A173    0            35
A175    0            35
A149    0            34
A171    0            34
A148    0            33
A154    0            33
A152    0            32
A153    0            32
A157    0            31
A160    0            31
A165    0            30
A166    0            30
A221    0            30
A202    0            29
A219    0            29
A220    0            29
A208    0            28
A209    0            28
A217    0            28
A205    0            27
A206    0            27
A207    0            27
A204    0            26
A214    0            26
A215    0            26
A185    0            25
A186    0            25
A213    0            25
A188    0            24
A199    0            24
A200    0            24
A190    -1           23
A192    0            23
A198    0            23
A164    -1           22
A180    -1           22
A189    -1           22
A151    -1           21
A159    -1           21
A161    -1           21
A167    -1           20
A168    -1           20
A183    -1           20
A182    -1           19
A222    -1           19
A228    -1           19
A145    -1           18
A92     -1           18
A95     -1           18
A100    -1           17
A101    -1           17
A94     -1           17
A76     -1           16
A77     -1           16
A99     -1           16
A17     -1           15
A84     -1           15
A87     -1           15
A11     -1           14
A14     -1           14
A16     -1           14
A2      -1           13
A3      -1           13
A8      -1           13
A34     -1           12
A35     -1           12
A5      -1           12
A26     -1           11
A31     -1           11
A32     -1           11
A67     -1           10
A68     -1           10
A70     -1           10
A40     -1           9
A53     -1           9
A66     -1           9
A28     -2           8
A47     -2           8
A90     -2           8
A117    -2           7
A86     -2           7
A88     -2           7
A116    -2           6
A134    -2           6
A135    -2           6
A139    -2           5
A223    -2           5
A224    -2           5
A146    -2           4
A147    -2           4
A181    -2           4
A193    -2           3
A194    -2           3
A212    -2           3
A211    -2           2
A216    -2           2
A218    -3           2
A141    -3           1
A4      -5           1
A85     -5           1
``````
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Author Commented:
@ Wayne Taylor, thank you so much. Both those formulas are working fine. The second one is more useful in my case, because I need to limit the ranks from 0 to 100. But as you mentioned, this method has the weakness of assigning the same rank to different values, as in the case of products A37 and A80, both getting a rank of 99, although they have different values of 6.13 and 5.54 respectively.

@ Paul Maxwell, thanks a lot for making me aware of the options that are present in SQL Server. Highly Appreciated.
Although I am a bit confused, regarding the tool that I should use, Excel or SQL Server for this work ! Because the raw data is available within excel, and if I want to make use of SQL Server for ranking, then I will first have to find out some easy method to move this data from excel to sql server, without too much manual effort. And I am not yet able to figure out an easy way to move such data from many different excel files to sql server.

Thank you so much for the help provided.
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