Pretty straightforward script and very similar to the 2000_census_demographics and 2000_census_economic. Updated the tags to follow the newest conventions laid out in today's meeting with OSE. Moved the global dictionaries to convert DCP population race codes and stat suffix mappers and the load data step to the utils/dcp_population_excel_helpers.py. This script ONLY ingests/aggregates 2000 housing tenure PUMS data: occupied_units, occupied_units_owner, occupied_units_renter
aggregation_helpers.py
Updated this function to handle the newest tag conventions.
utils/dcp_population_excel_helpers.py
As mentioned above, added two global dictionaries race_suffix_mapper which converts the convention DCP population uses in the column names to indicate race to the race suffix used for EDDT and converts the stat convention used by dcp population to our conventions (i.e. e to count)
internal_review
Wrote files following what was laid out in the issue/epic for this indicator.
pums_2000_hsq_housing_tenure.py
Pretty straightforward script and very similar to the
2000_census_demographics
and2000_census_economic
. Updated the tags to follow the newest conventions laid out in today's meeting with OSE. Moved the global dictionaries to convert DCP population race codes and stat suffix mappers and the load data step to theutils/dcp_population_excel_helpers.py
. This script ONLY ingests/aggregates 2000 housing tenure PUMS data:occupied_units, occupied_units_owner, occupied_units_renter
aggregation_helpers.py
Updated this function to handle the newest tag conventions.
utils/dcp_population_excel_helpers.py
As mentioned above, added two global dictionariesrace_suffix_mapper
which converts the convention DCP population uses in the column names to indicate race to the race suffix used for EDDT and converts the stat convention used by dcp population to our conventions (i.e.e
tocount
)internal_review
Wrote files following what was laid out in the issue/epic for this indicator.Things to check: