Guides
Data modeling
Passing dynamic parameters in a query

# Passing dynamic parameters in a query

## Use case

We want to know the ratio between the number of people in a particular city and the total number of women in the country. The user can specify the city for the filter. The trick is to get the value of the city from the user and use it in the calculation. In the recipe below, we can learn how to join the data table with itself and reshape the dataset!

## Data modeling

Let's explore the `users` cube data that contains various information about users, including city and gender:

idcitygendername
1SeattlefemaleWendell Hamill
2ChicagomaleRahsaan Collins
3New YorkfemaleMegane O'Kon
............

To calculate the ratio between the number of women in a particular city and the total number of people in the country, we need to define three measures. One of them can receive the city value from the filter in a query. Cube will apply this filter via the `WHERE` clause to the dataset. So, we need to reshape the dataset so that applying this filter wouldn’t affect the calculations. In this use case, we can join the data table with itself to multiply the `city` column — applying the filter would remove the multiplication while still allowing to access the filter value:

YAML
JavaScript
``````cubes:
- name: users
sql: >
WITH data AS (
SELECT
users.id AS id,
users.city AS city,
users.gender AS gender
FROM public.users
),
cities AS (
SELECT city
FROM data
),
grouped AS (
SELECT
cities.city AS city_filter,
data.id AS id,
data.city AS city,
data.gender AS gender
FROM cities, data
GROUP BY 1, 2, 3, 4
)
SELECT *
FROM grouped

measures:
- name: total_number_of_women
sql: id
type: count
filters:
- sql: "gender = 'female'"

- name: number_of_people_of_any_gender_in_the_city:
sql: id
type: count
filters:
- sql: "city = city_filter"

- name: ratio
title: Ratio Women in the City to Total Number of People
sql: >
1.0 * {number_of_people_of_any_gender_in_the_city} /
{total_number_of_women}
type: number

dimensions:
- name: city_filter
sql: city_filter
type: string``````

## Query

To get the ratio result depending on the city, we need to pass the value via a filter in the query:

``````{
"measures": [
"users.total_number_of_women",
"users.number_of_people_of_any_gender_in_the_city",
"users.ratio"
],
"filters": [
{
"member": "users.city_filter",
"operator": "equals",
"values": ["Seattle"]
}
]
}``````

## Result

By joining the data table with itself and using the dimensions defined above, we can get the ratio we wanted to achieve:

``````[
{
"users.total_number_of_women": "259",
"users.number_of_people_of_any_gender_in_the_city": "99",
"users.ratio": "0.38223938223938223938"
}
]``````

## Source code

Please feel free to check out the full source code (opens in a new tab) or run it with the `docker-compose up` command. You'll see the result, including queried data, in the console.