Score F, testing methodology (#510)

* fixing dependency issue

* fixing more dependencies

* including fraction of state AMI

* wip

* nitpick whitespace

* etl working now

* wip on scoring

* fix rename error

* reducing metrics

* fixing score f

* fixing readme

* adding dependency

* passing tests;

* linting/black

* removing unnecessary sample

* fixing error

* adding verify flag on etl/base

Co-authored-by: Jorge Escobar <jorge.e.escobar@omb.eop.gov>

data/data-pipeline/data_pipeline/etl/sources/cdc_places/etl.py

@@ -0,0 +1,66 @@
+import pandas as pd
+
+from data_pipeline.etl.base import ExtractTransformLoad
+from data_pipeline.utils import get_module_logger, download_file_from_url
+
+logger = get_module_logger(__name__)
+
+
+class CDCPlacesETL(ExtractTransformLoad):
+    def __init__(self):
+        self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "cdc_places"
+
+        self.CDC_PLACES_URL = "https://chronicdata.cdc.gov/api/views/cwsq-ngmh/rows.csv?accessType=DOWNLOAD"
+        self.CDC_GEOID_FIELD_NAME = "LocationID"
+        self.CDC_VALUE_FIELD_NAME = "Data_Value"
+        self.CDC_MEASURE_FIELD_NAME = "Measure"
+
+        self.df: pd.DataFrame
+
+    def extract(self) -> None:
+        logger.info("Starting to download 520MB CDC Places file.")
+        file_path = download_file_from_url(
+            file_url=self.CDC_PLACES_URL,
+            download_file_name=self.TMP_PATH
+            / "cdc_places"
+            / "census_tract.csv",
+        )
+
+        self.df = pd.read_csv(
+            filepath_or_buffer=file_path,
+            dtype={self.CDC_GEOID_FIELD_NAME: "string"},
+            low_memory=False,
+        )
+
+    def transform(self) -> None:
+        logger.info("Starting CDC Places transform")
+
+        # Rename GEOID field
+        self.df.rename(
+            columns={self.CDC_GEOID_FIELD_NAME: self.GEOID_TRACT_FIELD_NAME},
+            inplace=True,
+            errors="raise",
+        )
+
+        # Note: Puerto Rico not included.
+        self.df = self.df.pivot(
+            index=self.GEOID_TRACT_FIELD_NAME,
+            columns=self.CDC_MEASURE_FIELD_NAME,
+            values=self.CDC_VALUE_FIELD_NAME,
+        )
+
+        # Make the index (the census tract ID) a column, not the index.
+        self.df.reset_index(inplace=True)
+
+    def load(self) -> None:
+        logger.info("Saving CDC Places Data")
+
+        # mkdir census
+        self.OUTPUT_PATH.mkdir(parents=True, exist_ok=True)
+
+        self.df.to_csv(path_or_buf=self.OUTPUT_PATH / "usa.csv", index=False)
+
+    def validate(self) -> None:
+        logger.info("Validating Census ACS Data")
+
+        pass