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categorize transformation: Assigns a categorical variable to a calc_source_type column which specifies the type of a sample. Currently limited to PNC values. It expects specific columns: host_scientific_name, host_common_name, food_product, environmental_site, environmental_material and will assign the following categories: "Human", "Animal", "Food", "Environmental", "Unknown", "Host Conflict" PR #20
Added auxillary missing_val() function to transform.py to check if a value is in our list of Special values (indicating things like "Not Available") or if it is a "True" null (like pandas.NA or None in python) PR #20