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.

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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If you have any queries, let us know by commenting below. 

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Last updated: 04 Apr 2023
About Author

Kalla Saikumar is a technology expert and is currently working as a Marketing Analyst at MindMajix. Write articles on multiple platforms such as Tableau, PowerBi, Business Analysis, SQL Server, MySQL, Oracle, and other courses. And you can join him on LinkedIn and Twitter.

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