The data is from March 15th to May 1st (~45 days). It is a noisy estimation based on foursquare and twitter location check-ins (estimated samples from a population of about 100k users in San Francisco, CA with a technology bias). I haven't analyzed user-specific data, such as who went to both venues. I am open to suggestions on future analysis.