Validation Definition vs. Batch Definition
Now, let's practice validating your Expectation Suite using two different techniques.
The Renewable Power Generation dataset has already been loaded into a pandas DataFrame dataframe
and read into a Batch Definition batch_definition
. An Expectation Suite has been created and assigned to the variable suite
. 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.
# Create Validation Definition
validation_definition = gx.____(
data=batch_definition,
suite=suite,
name="my_validation_definition"
)
# Validate Expectation Suite
validation_results = ____.run(
batch_parameters={"dataframe": dataframe}
)
# Describe Validation Results
print(validation_results.____)