Adding tests to ensure proper calculations (#1871)

* just testing that the boolean is preserved on gha
* checking drop tracts works
* adding a check to the agvalue calculation for nri
* updated with error messages

data/data-pipeline/data_pipeline/etl/score/etl_score.py

@@ -494,6 +494,7 @@ class ScoreETL(ExtractTransformLoad):
         # For some columns, high values are "good", so we want to reverse the percentile
         # so that high values are "bad" and any scoring logic can still check if it's
         # >= some threshold.
+        # Note that we must use dataclass here instead of namedtuples on account of pylint
         # TODO: Add more fields here.
         #  https://github.com/usds/justice40-tool/issues/970
         @dataclass