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Implementation of some mmmdata_validation #1043
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Project Robyn
This commit implements several validation methods in the MMMDataValidation class within mmmdata_validation.py. These methods are Python equivalents of the validation checks performed in the R version of Robyn, specifically in the checks.R file.
The implemented methods include:
check_missing_and_infinite: Checks for missing (NA) and infinite values in the input data.
check_no_variance: Identifies columns with no variance in the input data.
check_date_variable: Validates the date variable in the input data.
check_dependent_variables: Ensures the dependent variables are valid and of the correct type.
These implementations aim to maintain parity with the R version while adapting to Python's syntax and pandas DataFrame operations.
Fixes # (issue number, if applicable)
Type of change
How Has This Been Tested?
The code has been tested locally to ensure it runs without errors.
Unit tests for these methods will be added in a subsequent commit.
The implementations have been reviewed to ensure they match the functionality of the R version.
Note: This is part of an ongoing effort to port Robyn from R to Python. Additional validation methods will be implemented and committed based on feedback from this initial set of implementations.