This lab demonstrates how TensorFlow Data Validation can be used to investigate and visualize a dataset.

You’ll begin with:

• steps to install TensorFlow Data Validation,

• then continue on to compute and visualize statistics,

• infer a schema,

• check evaluation data for errors,

• check for and fix evaluation anomalies,

• check for drift and skew,

and finally, freeze a schema.