BigQuery, Google’s cloud service for fast queries over large volumes of structured data, now includes a function for determining the correlation between two variables. Upload some data, enter some SQL code, get back a Pearson correlation score (you know, the scale from -1.0 to 1.0 where -1.0 means a perfect negative correlation, 1.0 means a perfect positive correlation and zero means no correlation.) Google’s Felipe Hoffa showed off the new capability in a blog post on Thursday, using data collected from the sensors the company had placed throughout San Francisco’s Moscone Center during the Google I/O conference in May.