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@ -117,6 +117,7 @@ AS $$
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'income_200000_or_more',
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'land_area'];
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RETURN QUERY
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EXECUTE
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'select * from cdb_observatory._OBS_GetCensus($1, $2 )'
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USING geom, target_cols
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RETURN;
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@ -653,71 +654,21 @@ BEGIN
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END;
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$$ LANGUAGE plpgsql;
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CREATE OR REPLACE FUNCTION OBS_GetSegmentSnapshot(geom geometry, geometry_level text default '"us.census.tiger".census_tract')
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RETURNS json
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AS $$
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BEGIN
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RETURN row_to_json(cdb_observatory._OBS_GetSegmentSnapshot(geom, geometry_level));
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END;
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$$ LANGUAGE plpgsql;
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CREATE OR REPLACE FUNCTION _OBS_GetSegmentSnapshot(
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CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetSegmentSnapshot(
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geom geometry,
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geometry_level text DEFAULT '"us.census.tiger".census_tract'
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)
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RETURNS TABLE(
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segment_name TEXT,
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total_pop_quantile NUMERIC,
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male_pop_quantile NUMERIC,
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female_pop_quantile NUMERIC,
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median_age_quantile NUMERIC,
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white_pop_quantile NUMERIC,
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black_pop_quantile NUMERIC,
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asian_pop_quantile NUMERIC,
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hispanic_pop_quantile NUMERIC,
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not_us_citizen_pop_quantile NUMERIC,
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workers_16_and_over_quantile NUMERIC,
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commuters_by_car_truck_van_quantile NUMERIC,
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commuters_by_public_transportation_quantile NUMERIC,
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commuters_by_bus_quantile NUMERIC,
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commuters_by_subway_or_elevated_quantile NUMERIC,
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walked_to_work_quantile NUMERIC,
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worked_at_home_quantile NUMERIC,
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children_quantile NUMERIC,
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households_quantile NUMERIC,
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population_3_years_over_quantile NUMERIC,
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in_school_quantile NUMERIC,
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in_grades_1_to_4_quantile NUMERIC,
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in_grades_5_to_8_quantile NUMERIC,
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in_grades_9_to_12_quantile NUMERIC,
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in_undergrad_college_quantile NUMERIC,
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pop_25_years_over_quantile NUMERIC,
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high_school_diploma_quantile NUMERIC,
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bachelors_degree_quantile NUMERIC,
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masters_degree_quantile NUMERIC,
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pop_5_years_over_quantile NUMERIC,
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speak_only_english_at_home_quantile NUMERIC,
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speak_spanish_at_home_quantile NUMERIC,
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pop_determined_poverty_status_quantile NUMERIC,
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poverty_quantile NUMERIC,
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median_income_quantile NUMERIC,
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gini_index_quantile NUMERIC,
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income_per_capita_quantile NUMERIC,
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housing_units_quantile NUMERIC,
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vacant_housing_units_quantile NUMERIC,
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vacant_housing_units_for_rent_quantile NUMERIC,
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vacant_housing_units_for_sale_quantile NUMERIC,
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median_rent_quantile NUMERIC,
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percent_income_spent_on_rent_quantile NUMERIC,
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owner_occupied_housing_units_quantile NUMERIC,
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million_dollar_housing_units_quantile NUMERIC
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)
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RETURNS JSON
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AS $$
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DECLARE
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target_cols text[];
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seg_name Text;
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geom_id Text;
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q Text;
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result json;
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seg_name Text;
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geom_id Text;
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q Text;
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segment_name Text;
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BEGIN
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target_cols := Array[
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'"us.census.acs".B01001001_quantile',
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@ -768,7 +719,7 @@ target_cols := Array[
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EXECUTE
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$query$
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SELECT (categories)[1]
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SELECT (_OBS_GetCategories)->>'name'
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FROM cdb_observatory._OBS_GetCategories(
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$1,
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Array['"us.census.spielman_singleton_segments".X10'],
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@ -782,8 +733,8 @@ target_cols := Array[
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format($query$
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WITH a As (
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SELECT
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names As names,
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vals As vals
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array_agg(_OBS_GET->>'name') As names,
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array_agg(_OBS_GET->>'value') As vals
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FROM cdb_observatory._OBS_Get($1,
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$2,
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'2009 - 2013',
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@ -792,15 +743,19 @@ target_cols := Array[
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), percentiles As (
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%s
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FROM a)
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SELECT $4, percentiles.*
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FROM percentiles
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$query$, cdb_observatory._OBS_BuildSnapshotQuery(target_cols));
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SELECT row_to_json(r) FROM
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( SELECT $4 as segment_name, percentiles.*
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FROM percentiles) r
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$query$, cdb_observatory._OBS_BuildSnapshotQuery(target_cols)) results;
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RETURN QUERY
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EXECUTE
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q
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into result
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USING geom, target_cols, geometry_level, segment_name;
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return result;
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END;
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$$ LANGUAGE plpgsql;
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