To calculate the percentiles of the product, we use the “percentile_cont()” function of Snowflake.
select
percentile_cont(0.1) within group(order by unit_price) over () as p1,
percentile_cont(0.2) within group(order by unit_price) over () as p2,
percentile_cont(0.3) within group(order by unit_price) over() as p3,
percentile_cont(0.4) within group(order by unit_price) over () as p4
from products1;
If we want to get those percentiles by category
select distinct category,
percentile_cont(0.2) within group(order by unit_price) over (partition by category) as p20,
percentile_cont(0.4) within group(order by unit_price) over (partition by category) as p40,
percentile_cont(0.6) within group(order by unit_price) over (partition by category) as p60,
percentile_cont(0.8) within group(order by unit_price) over (partition by category) as p80
from products1 order by category.
In the Snowflake, we can calculate the percentiles using the “percentile.cont()” function. We can use that function to compute the percentiles in different cases and using different parameters. I hope this blog is enough for calculating the percentiles.
Snowflake Related Articles
If you have any queries, let us know by commenting below.
Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:
Name | Dates | |
---|---|---|
Snowflake Training | Jun 21 to Jul 06 | View Details |
Snowflake Training | Jun 24 to Jul 09 | View Details |
Snowflake Training | Jun 28 to Jul 13 | View Details |
Snowflake Training | Jul 01 to Jul 16 | View Details |