median_value¶

median_value(arr)

Description¶

Return median value of array (inspired from sql-snippets repo)

Usage¶

Call or Deploy median_value ?

Call median_value directly

The easiest way to use bigfunctions

median_value function is deployed in 39 public datasets for all of the 39 BigQuery regions.
It can be called by anyone. Just copy / paste examples below in your BigQuery console. It just works!
(You need to use the dataset in the same region as your datasets otherwise you may have a function not found error)

Public BigFunctions Datasets

Region	Dataset
`eu`	`bigfunctions.eu`
`us`	`bigfunctions.us`
`europe-west1`	`bigfunctions.europe_west1`
`asia-east1`	`bigfunctions.asia_east1`
...	...

Deploy median_value in your project

Why deploy?

You may prefer to deploy median_value in your own project to build and manage your own catalog of functions.
This is particularly useful if you want to create private functions (for example calling your internal APIs).
Get started by reading the framework page

Deployment

median_value function can be deployed with:

pip install bigfunctions
bigfun get median_value
bigfun deploy median_value

Examples¶

1. When array length is odd

EUUSeurope-west1

select bigfunctions.eu.median_value([1, 4, 3])

select bigfunctions.us.median_value([1, 4, 3])

select bigfunctions.europe_west1.median_value([1, 4, 3])

+-------+
| value |
+-------+
| 3     |
+-------+

2. When array length is even

EUUSeurope-west1

select bigfunctions.eu.median_value([1, 4, 3, 2])

select bigfunctions.us.median_value([1, 4, 3, 2])

select bigfunctions.europe_west1.median_value([1, 4, 3, 2])

+-------+
| value |
+-------+
| 2.5   |
+-------+

Use cases¶

You have a table of users, and each user has a list of scores they've achieved in a game. You want to find the median score for each user.

WITH UserScores AS (
    SELECT 'UserA' AS user_id, [85, 92, 78, 95, 88] AS scores UNION ALL
    SELECT 'UserB' AS user_id, [70, 75, 68, 72, 77] AS scores UNION ALL
    SELECT 'UserC' AS user_id, [90, 95, 88, 92] AS scores
)

SELECT user_id, bigfunctions.us.median_value(scores) AS median_score
FROM UserScores;

This query uses the median_value function to calculate the median score from the scores array for each user. It will return a table like this:

user_id	median_score
UserA	88
UserB	75
UserC	91

This is a practical use case where you need to find a representative central value for a set of numbers associated with each row in a table. Other potential use cases include:

Sales Analysis: Finding the median sales amount per customer.
Financial Modeling: Calculating the median value of a portfolio of investments.
Sensor Data Analysis: Determining the median value of readings from a sensor over a period of time.
Performance Monitoring: Calculating the median latency of API calls.

In essence, anytime you have an array of numeric data associated with individual records, and you need to find a typical or central value that is robust to outliers, the median_value function becomes very useful.

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report a bug so that it can be improved.
or open the discussion with the community on Slack.

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