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How to use a data set which has a large number of distinct values for each variable

Here is an example of a problem I am working on. This data set has many possible combinations of topic and user. Each topic can have any number of unique users. In this data set, there are 1,275 distinct users for each topic. As there are a large number of both users and topics, the percentage that will appear in my sample is small. I want to create a data set (or other method) that represents the current underlying data in a way that is easily scalable. I want to minimize the effect of sampling on my results.

I am not sure how to do this, if possible. The only method I can think of is to create 1,275 new variables that correspond to each unique user in the data set and have a "1" for each row where the user is that 0b46394aab

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