BigQuery ML now supports visualization of model monitoring metrics

## Feature BigQuery ML now supports [visualization of model monitoring metrics](https://cloud.google.com/bigquery/docs/model-monitoring-overview#monitoring%5Fvisualization). This feature lets you use charts and graphs to [analyze model monitoring function output](https://cloud.google.com/vertex-ai/docs/model-monitoring/run-monitoring-job#analyze%5Fmonitoring%5Fjob%5Fresults). The following functions support metric visualization: * [ML.VALIDATE\_DATA\_SKEW](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-validate-data-skew): compute the statistics for a set of serving data, and then compare them to the statistics for the data used to train a BigQuery ML model in order to identify anomalous differences between the two data sets. * [ML.VALIDATE\_DATA\_DRIFT](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-validate-data-drift): compute and compare the statistics for two sets of serving data in order to identify anomalous differences between the two data sets. This feature is in [preview](https://cloud.google.com/products/#product-launch-stages).