First Iteration of Quality Assessment module

Description

Rather than re-inventing the wheel we have integrated the SaQC python package into neptoon. This allows us to focus on implementation instead of re-defining functions that have been well constructed elswhere.

Related Issue

Closes #13 (closed)

Proposed Changes

• The proposed structure for QA in neptoon has been developed
• The QualityCheck abstract class has defined
• Examples of QualityCheck types have been created
• DataAuditLog works with QualityChecks
• The QualityAssessmentFlagBuilder supports a way to stage checks on a per column basis
• The DataQualityAssessor is a standalone module that takes a dataframe as an argument.
• DataQualityAssessor has functions for building a QualityAssessmentFlagBuilder or attaching a premade one
• It has a method which then also runs and returns a DataFrame with flag values

Testing

• [Describe the testing steps or scenarios to verify the changes]
• [Testing step 2]
• [Testing step 3]

Checklist

• I have tested the changes thoroughly
• I have updated the relevant documentation
• I have added necessary comments and explanations in the code
• I have considered backward compatibility, if applicable
• I have reviewed the code changes myself

Additional Notes

Still to implement:

• The CRNSDataHub needs a method for masking the crns_data_frame with the flagged dataframe
• Implement more check options