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I have a BigQuery table that looks like this and that can't be modified:

|Country|Customer|Number of connections|Number of purchases|Country Metric 1|Country Metric 2
|Brazil|A|10|1|3|1000
|Brazil|B|90|5|3|1000
|Brazil|C|80|2|3|1000
|Namibia|B|20|1|5|2000
|Namibia|C|150|2|5|2000

About this table, please note that:
- Each combination of Country-Customer is unique.
- The country metrics, as their names suggest, only depend on the country.
- For some countries, some metrics are not available (`NULL` in the table).
- For some combinations Country-Customer, the number of connections/purchases are not available

I would like to obtain, in the same query, the following information:
- The mean of Country Metric 1 only taking into account combinations of Country-Customer having at least a number of purchases higher or equal than 2. In the example table, there are 3 combinations: Brazil-B, Brazil-C and Namibia-C. The mean should take into account Brazil only once so the result is `(3 + 5) / 2 = 4`.
- The mean of Country Metric 2 only taking into account combinations of Country-Customer having at least a number of connections higher than 100. There is only one combination which meets this criterion in the example table: Namibia-C. Thus, the expected result is 2000.

Those are just examples but there can be more metrics and other aggregations (sum, min, max, count...) but they should be very similar.

What I have tried:

SQL
SELECT AVG(IF(purchases > 2, country_metric_1, NULL)), -- => 6.5
AVG(IF(connections > 100, country_metric_2, NULL)) -- => 2000
FROM table


Issue: if the same country appears in multiple combinations, the same metric is taken into account multiple times.


SQL
SELECT AVG(IF(purchases > 2, country_metric_1_p, NULL)), -- => random
AVG(IF(connections > 100, country_metric_2_p, NULL)) -- => random
FROM (SELECT purchases, 
connections,
IF(ROW_NUMBER() OVER (PARTITION BY country) = 1, country_metric_1, NULL) country_metric_1_p
IF(ROW_NUMBER() OVER (PARTITION BY country) = 1, country_metric_2, NULL) country_metric_2_p
FROM table)


Issue: for each country, only one combination is taken into account giving lower and random results...
Posted
Comments
CHill60 26-Apr-21 11:06am
   
What if the data is
|Country|Customer|Number of connections|Number of purchases|Country Metric 1|Country Metric 2
|Brazil|A|10|1|3|1000
|Brazil|B|90|5|3|1000
|Brazil|C|80|2|4|1000
|Namibia|B|20|1|5|2000
|Namibia|C|150|2|5|2000
In other words, you state that data for Brazil should not be "duplicated" so in my example would you still use
(3 + 5) / 2 = 4
or
(4 + 5) / 2 = 4.5
or
(3 + 4 + 5) / 2 = 6

What about the null metrics - should they be included or not (e.g. include in the count of rows, or ignore the row entirely)
"there can be more metrics and other aggregations" - with the same criteria or with different criteria? This "single query" is going to be very confusing. Why must it be the same query? That is a very artificial criterion

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