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How to Calculate Percentiles in Snowflake

In Snowflake, we use the “percentile_cont()” function for calculating the percentiles of the product. This blog enables us to use that function to compute the percentiles of the product.

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Snowflake - Calculate Percentiles

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.

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Conclusion

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.

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Last updated: 15 August 2022
About Author
SaiKumar Kalla

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.