As big as it can be! But with a twist…
Commonly speaking, the community version of RATH caps data at 100MB. However, you can easily work with a much larger data source by sampling.
Sampling is the process to select a reasonable size of a subset from your original dataset. For example, you don’t have to knock on the doors of every resident in a large city to survey their opinion on a candidate, instead, you call a sample of, let’s say 1000 people.
For advanced users, you can also connect RATH to an MPP database, or subscribe to RATH Pro.