Rules Subset Generation

Question

Let's say that we have 5,000 users in the database. The user’s line has a table for sex, a place where he / she was born in the column and status (married or unmarried).

How to create a random subset (say, 100 users) that will satisfy these conditions:

• 40% should be men and 60% - women
• 50% should be born in the USA, 20% were born in the UK, 20% were born in Canada, 10% in Australia.
• 70% should be married and 30% not.

These conditions are independent , that is, they cannot do this:

• (0.4 * 0.5 * 0.7) * 100 = 14 users who are US-born men and married.
• (0.4 * 0.5 * 0.3) * 100 = 6 users who are US-born men and unmarried.

Is there an algorithm for this generation?

Answer 1

Is exact or rough breakdown required? Usually, if you create a sample like this, you do a statistical study, so just create an example sample.

Here's how to do it:

There is a genRandomIndividual () function.

Every time you create a person, use a random function to select gender - men with a 40% probability

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- Randomly select a row.  
- Mark the row examined.
- For each column constraint:
    * Get the value for the relevant column from the row
    * Test for selectability:
        If there a value target for the value, 
        and if we haven't already selected our target number of incidences of this value, 
        then the row is selectable with respect to this column
    * Else: the row fails.
- If the row didn't fail, select it: add it to the subset

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However, for the OP question, this is possible. As I explain, we can randomly select strings and test them individually, because each has one weight.