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.
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Kalla Saikumar is a technology expert and is currently working as a content associate at MindMajix. Write articles on multiple platforms such as ServiceNow, Business Analysis, Performance Testing, Mulesoft, Oracle Exadata, Azure, and other courses. And you can join him on LinkedIn.
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