Evaluate Validation Results
Now, you'll gain some more familiarity with the Validation Results of an Expectation validation. You'll try out a couple of ways of evaluating these results.
The Renewable Power Generation dataset has already been loaded into a Batch, assigned to the variable batch. The Expectation you created in the last exercise is assigned to the variable expectation, and the Validation Results are assigned to the variable validation_results. Great Expectations and pandas are available as gx and pd, respectively.
This exercise is part of the course
Introduction to Data Quality with Great Expectations
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Validate Expectation
validation_results = batch.validate(
expect=expectation
)
# Describe Validation Results
print(validation_results.____())