Ranking data across multiple categories within same column

[rajivraina]

Hi,

I have a table of data that has macroeconomic data on countries over a period of years. I am trying to assign a rank to each country based on their value, while still taking into account the Year, Indicator, and Grouping columns AND skipping over any blank Values. The end result would read like the "Rank" column in the below sample picture. I've tried adapting lots of different forum posts to my problem but nothing has been successful and I just cannot seem to figure it out..I know it should be possible with some combination of the Rankx(Filter(All( functions.

To me the logic would be something like: If the Value is not blank then Rank the country's value against all other nonblank country values within the same Indicator, Grouping, and Year. 

I would also probably need to use RANKX function as I need a way to switch from ASC to DESC ranking depending on the Indicator, as for some indicators the lower value the better while others a higher value the better. 

Finally, all the data is from one table and the columns are either calculated columns or just raw data columns, no measures. The "Rank" column will likely need to be a measure.

I really appreciate any help, thanks in advance.

-Raj

[Zubair_Muhammad]

@rajivraina 

Could you copy paste sample data or share your file?

[rajivraina]

---

@Zubair_Muhammad wrote:

@rajivraina 

Could you copy paste sample data or share your file?

---

Indicator	Grouping	Country	Year	Value
GDP	High Income	United States	2007	14477640000000.00
GDP	High Income	United States	2006	13855890000000.00
GDP	High Income	Canada	2007	1464980000000.00
GDP	High Income	Canada	2006	1315420000000.00
GDP	Middle Income	Mexico	2007	1052700000000.00
GDP	Middle Income	Mexico	2006	975390000000.00
GDP	Middle Income	Chile	2007	173600000000.00
GDP	Middle Income	Chile	2006	154800000000.00
Balance of Trade	High Income	Canada	2007	42449060026.27
Balance of Trade	High Income	Canada	2006	41839680995.80
Balance of Trade	Middle Income	Chile	2007	24083120000.00
Balance of Trade	Middle Income	Chile	2006	22897170000.00
Balance of Trade	Middle Income	Mexico	2006	-6133210000.00
Balance of Trade	Middle Income	Mexico	2007	-10073730000.00
Balance of Trade	High Income	United States	2007	-705376000000.00
Balance of Trade	High Income	United States	2006	-761715000000.00

@Zubair_Muhammad Above is the sample data in case you do not want to click link (understandable haha)

Thanks again.

[Zubair_Muhammad]

@rajivraina 

Tagging some experts

@MFelix 
@TomMartens 

[MFelix]

Hi @Zubair_Muhammad ,

Agree with your approach however, without full data set is difficul to understand where you measure could have gone incorrect.

Regards,

MFelix

[rajivraina]

---

@MFelix wrote:

Hi @Zubair_Muhammad ,

Agree with your approach however, without full data set is difficul to understand where you measure could have gone incorrect.

Regards,

MFelix

---

@MFelix  @Zubair_Muhammad Please find my powerbi file with suggested Rank measure here: http://www.filedropper.com/samplefile_5

Thanks,

Raj

[rajivraina]

---

@Zubair_Muhammad wrote:

@rajivraina 

Tagging some experts

@MFelix 
@TomMartens 

---

Any luck guys?

[rajivraina]

---

@Zubair_Muhammad wrote:

@rajivraina 

Could you copy paste sample data or share your file?

---

@Zubair_Muhammad  I don't seem to have an option to attach files directly on this forum, so I have uploaded it to file sharing service "filedropper", here is the link: http://www.filedropper.com/data1

Let me know if you need anything else.

[Zubair_Muhammad]

@rajivraina 

Try this MEASURE.

See the attached file as well with your sample data

Measure =
RANKX (
    CALCULATETABLE (
        Table1,
        ALLEXCEPT ( Table1, Table1[ Grouping ], Table1[ Indicator ], Table1[ Year ] )
    ),
    CALCULATE ( SUM ( Table1[ Value ] ) ),
    ,
    DESC,
    DENSE
)

[rajivraina]

---

@Zubair_Muhammad wrote:

@rajivraina 

Try this MEASURE.

See the attached file as well with your sample data

Measure =
RANKX (
    CALCULATETABLE (
        Table1,
        ALLEXCEPT ( Table1, Table1[ Grouping ], Table1[ Indicator ], Table1[ Year ] )
    ),
    CALCULATE ( SUM ( Table1[ Value ] ) ),
    ,
    DESC,
    DENSE
)

---

@Zubair_Muhammad This is the result for me...it looks like it is ranking correctly according to the value but it is not taking into account Year or Grouping or Indicator. The highest rank should be around 200-300 as that is the max # of countries. Any idea what's going on?

[Zubair_Muhammad]

Could you share file or full data

[rajivraina]

@Zubair_Muhammad Can I send you the file in a private message? If not, I can post here but would rather avoid that.

Thanks,

-Raj