Add tests for all non-census sources (#1899)

* Refactor CDC life-expectancy (1554)

* Update to new tract list (#1554)

* Adjust for tests (#1848)

* Add tests for cdc_places (#1848)

* Add EJScreen tests (#1848)

* Add tests for HUD housing (#1848)

* Add tests for GeoCorr (#1848)

* Add persistent poverty tests (#1848)

* Update for sources without zips, for new validation (#1848)

* Update tests for new multi-CSV but (#1848)

Lucas updated the CDC life expectancy data to handle a bug where two
states are missing from the US Overall download. Since virtually none of
our other ETL classes download multiple CSVs directly like this, it
required a pretty invasive new mocking strategy.

* Add basic tests for nature deprived (#1848)

* Add wildfire tests (#1848)

* Add flood risk tests (#1848)

* Add DOT travel tests (#1848)

* Add historic redlining tests (#1848)

* Add tests for ME and WI (#1848)

* Update now that validation exists (#1848)

* Adjust for validation (#1848)

* Add health insurance back to cdc places (#1848)

Ooops

* Update tests with new field (#1848)

* Test for blank tract removal (#1848)

* Add tracts for clipping behavior

* Test clipping and zfill behavior (#1848)

* Fix bad test assumption (#1848)

* Simplify class, add test for tract padding (#1848)

* Fix percentage inversion, update tests (#1848)

Looking through the transformations, I noticed that we were subtracting
a percentage that is usually between 0-100 from 1 instead of 100, and so
were endind up with some surprising results. Confirmed with lucasmbrown-usds

* Add note about first street data (#1848)

data/data-pipeline/data_pipeline/etl/score/config/datasets.yml

@@ -289,4 +289,18 @@ datasets:
         field_type: percentage
         include_in_tiles: true
         include_in_downloadable_files: true
-        create_percentile: true
+        create_percentile: true
+  - long_name: "CDC Life Expeectancy"
+    short_name: "cdc_life_expectancy"
+    module_name: "cdc_life_expectancy"
+    input_geoid_tract_field_name: "Tract ID"
+    load_fields:
+    -  short_name: "LLEF"
+       df_field_name: "LIFE_EXPECTANCY_FIELD_NAME"
+       long_name: "Life expectancy (years)"
+       field_type: float
+       include_in_tiles: false
+       include_in_downloadable_files: true
+       create_percentile: false
+       create_reverse_percentile: true
+