Data folder restructuring in preparation for 361 (#376)

* initial checkin

* gitignore and docker-compose update

* readme update and error on hud

* encoding issue

* one more small README change

* data roadmap re-strcuture

* pyproject sort

* small update to score output folders

* checkpoint

* couple of last fixes

data/data-pipeline/etl/sources/ejscreen/etl.py

@@ -0,0 +1,37 @@
+import pandas as pd
+
+from etl.base import ExtractTransformLoad
+from utils import get_module_logger
+
+logger = get_module_logger(__name__)
+
+
+class EJScreenETL(ExtractTransformLoad):
+    def __init__(self):
+        self.EJSCREEN_FTP_URL = "https://gaftp.epa.gov/EJSCREEN/2019/EJSCREEN_2019_StatePctile.csv.zip"
+        self.EJSCREEN_CSV = self.TMP_PATH / "EJSCREEN_2019_StatePctiles.csv"
+        self.CSV_PATH = self.DATA_PATH / "dataset" / "ejscreen_2019"
+        self.df: pd.DataFrame
+
+    def extract(self) -> None:
+        logger.info(f"Downloading EJScreen Data")
+        super().extract(
+            self.EJSCREEN_FTP_URL,
+            self.TMP_PATH,
+        )
+
+    def transform(self) -> None:
+        logger.info(f"Transforming EJScreen Data")
+        self.df = pd.read_csv(
+            self.EJSCREEN_CSV,
+            dtype={"ID": "string"},
+            # EJSCREEN writes the word "None" for NA data.
+            na_values=["None"],
+            low_memory=False,
+        )
+
+    def load(self) -> None:
+        logger.info(f"Saving EJScreen CSV")
+        # write nationwide csv
+        self.CSV_PATH.mkdir(parents=True, exist_ok=True)
+        self.df.to_csv(self.CSV_PATH / f"usa.csv", index=False)