Combinations

Returns how many distinct combinations of breakdown column values there are below each node in the hierarchy.

Given this data table:

Region Country 1 Day Change % (USD) Mcap Rank 1 Month Change % (USD)
Europe AT -7.4% 32 71.31%
Europe AT -6.56% 68 51.07%
Europe AT -2.78% 66 -17.28%
Asia Pacific AU -0.72% 57 22.35%
Asia Pacific AU 3.28% 72 13.99%
Europe BE -4.94% 45 49.33%
Europe BE -9.23% 48 78.89%
Europe BE 4.19% 28 22.68%
Europe BE -2.63% 51 22.60%
North America CA -5.19% 25 13.82
North America CA 12.19% 41 19.11%
North America CA 1.20% 16 17.14%

 

Sample 1

Below is the defined breakdown in a Table visualization:

Adding 1 Day Change % (USD) column to the Records variable will produce the following table with the aggregate set to Sum (default):

    1 Day Change % (USD)
Asia Pacific AU 0.03
Europe AT -0.17
  BE -0.13
North America CA 0.08

 

Changing the aggregate of 1 Day Change % (USD) to Count will display how many instances of 1 Day Change % (USD) (rows from the data table) there are in each country:

    1 Day Change % (USD)
Asia Pacific AU 2
Europe AT 3
  BE 4
North America CA 3

 

Adding Mcap Rank to the Records variable will result to the following table with the aggregate set to Sum (default):

    1 Day Change % (USD) Mcap Rank
Asia Pacific AU 2 129
Europe AT 3 166
  BE 4 172
North America CA 3 82

 

Changing the aggregate of Mcap Rank to Combinations will display how many countries (rows in fully expanded visual table) there are.

    1 Day Change % (USD) Mcap Rank
Asia Pacific AU 2 1
Europe AT 3 1
  BE 4 1
North America CA 3 1

 

Changing the visible depth in the breakdown to Region should show:

  1 Day Change % (USD) Mcap Rank
Asia Pacific 2 1
Europe 7 2
North America 3 1

 

Asia Pacific has 1 (AU), Europe has 2 (AT and BE), and North America has 1 (CA).

 

 

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