continuing to rebase

This commit is contained in:
Andy Eschbacher
2016-05-11 09:38:45 -04:00
parent dcca7bef23
commit 42395efd21
15 changed files with 3411 additions and 3411 deletions

View File

@@ -85,7 +85,7 @@ $$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_LookupCensusHuman(
column_names text[],
-- TODO: change variable name table_name to table_id
table_name text DEFAULT '"us.census.acs".extract_block_group_5yr_2013_69b156927c'
table_name text DEFAULT 'us.census.acs.extract_block_group_5yr_2013_69b156927c'
)
RETURNS text[] as $$
DECLARE

View File

@@ -22,7 +22,7 @@
-- Creates a table of demographic snapshot
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetDemographicSnapshot(geom geometry, time_span text default '2009 - 2013', geometry_level text default '"us.census.tiger".block_group')
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetDemographicSnapshot(geom geometry, time_span text default '2009 - 2013', geometry_level text default 'us.census.tiger.block_group')
RETURNS SETOF JSON
AS $$
DECLARE
@@ -124,7 +124,7 @@ AS $$
END;
$$ LANGUAGE plpgsql;
-- CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetDemographicSnapshot(geom geometry, time_span text default '2009 - 2013', geometry_level text default '"us.census.tiger".block_group' )
-- CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetDemographicSnapshot(geom geometry, time_span text default '2009 - 2013', geometry_level text default 'us.census.tiger.block_group' )
-- RETURNS TABLE(
-- total_pop NUMERIC,
-- male_pop NUMERIC,
@@ -342,7 +342,7 @@ CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetCensus(
geom geometry,
dimension_names text[],
time_span text DEFAULT '2009 - 2013',
geometry_level text DEFAULT '"us.census.tiger".block_group'
geometry_level text DEFAULT 'us.census.tiger.block_group'
)
RETURNS SETOF JSON
AS $$
@@ -361,7 +361,7 @@ CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetCensus(
geom geometry,
dimension_name text,
time_span text DEFAULT '2009 - 2013',
geometry_level text DEFAULT '"us.census.tiger".block_group'
geometry_level text DEFAULT 'us.census.tiger.block_group'
)
RETURNS NUMERIC
AS $$
@@ -559,7 +559,7 @@ BEGIN
IF boundary_id IS NULL THEN
-- TODO we should determine best boundary for this geom
boundary_id := '"us.census.tiger".block_group';
boundary_id := 'us.census.tiger.block_group';
END IF;
IF time_span IS NULL THEN
@@ -611,7 +611,7 @@ BEGIN
IF boundary_id IS NULL THEN
-- TODO we should determine best boundary for this geom
boundary_id := '"us.census.tiger".census_tract';
boundary_id := 'us.census.tiger.census_tract';
END IF;
IF time_span IS NULL THEN
@@ -651,7 +651,7 @@ BEGIN
JOIN observatory.obs_column_tag ct
ON c.id = ct.column_id
WHERE cdb_observatory._OBS_StandardizeMeasureName(c.name) = $1
AND ct.tag_id = '"us.census.acs".demographics'
AND ct.tag_id = 'us.census.acs.demographics'
$string$
INTO measure_id
USING standardized_name;
@@ -684,8 +684,8 @@ BEGIN
-- ON c.id = ct.column_id
WHERE cdb_observatory._OBS_StandardizeMeasureName(c.name) = $1
AND c.type ILIKE 'TEXT'
AND c.id ILIKE '"us.census%' -- TODO this should be done by tag
--AND ct.tag_id = '"us.census.acs".demographics'
AND c.id ILIKE 'us.census%' -- TODO this should be done by tag
--AND ct.tag_id = 'us.census.acs.demographics'
$string$
INTO category_id
USING standardized_name;
@@ -710,7 +710,7 @@ DECLARE
result NUMERIC;
BEGIN
-- TODO use a super-column for global pop
population_measure_id := '"us.census.acs".B01001001';
population_measure_id := 'us.census.acs.B01001001';
EXECUTE format('SELECT cdb_observatory.OBS_GetMeasure(
%L, %L, %L, %L, %L
@@ -804,7 +804,7 @@ $$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory.OBS_GetSegmentSnapshot(
geom geometry,
geometry_level text DEFAULT '"us.census.tiger".census_tract'
geometry_level text DEFAULT 'us.census.tiger.census_tract'
)
RETURNS JSON
AS $$
@@ -817,50 +817,50 @@ DECLARE
segment_name Text;
BEGIN
target_cols := Array[
'"us.census.acs".B01001001_quantile',
'"us.census.acs".B01001002_quantile',
'"us.census.acs".B01001026_quantile',
'"us.census.acs".B01002001_quantile',
'"us.census.acs".B03002003_quantile',
'"us.census.acs".B03002004_quantile',
'"us.census.acs".B03002006_quantile',
'"us.census.acs".B03002012_quantile',
'"us.census.acs".B05001006_quantile',--
'"us.census.acs".B08006001_quantile',--
'"us.census.acs".B08006002_quantile',--
'"us.census.acs".B08006008_quantile',--
'"us.census.acs".B08006009_quantile',--
'"us.census.acs".B08006011_quantile',--
'"us.census.acs".B08006015_quantile',--
'"us.census.acs".B08006017_quantile',--
'"us.census.acs".B09001001_quantile',--
'"us.census.acs".B11001001_quantile',
'"us.census.acs".B14001001_quantile',--
'"us.census.acs".B14001002_quantile',--
'"us.census.acs".B14001005_quantile',--
'"us.census.acs".B14001006_quantile',--
'"us.census.acs".B14001007_quantile',--
'"us.census.acs".B14001008_quantile',--
'"us.census.acs".B15003001_quantile',
'"us.census.acs".B15003017_quantile',
'"us.census.acs".B15003022_quantile',
'"us.census.acs".B15003023_quantile',
'"us.census.acs".B16001001_quantile',--
'"us.census.acs".B16001002_quantile',--
'"us.census.acs".B16001003_quantile',--
'"us.census.acs".B17001001_quantile',--
'"us.census.acs".B17001002_quantile',--
'"us.census.acs".B19013001_quantile',
'"us.census.acs".B19083001_quantile',
'"us.census.acs".B19301001_quantile',
'"us.census.acs".B25001001_quantile',
'"us.census.acs".B25002003_quantile',
'"us.census.acs".B25004002_quantile',
'"us.census.acs".B25004004_quantile',
'"us.census.acs".B25058001_quantile',
'"us.census.acs".B25071001_quantile',
'"us.census.acs".B25075001_quantile',
'"us.census.acs".B25075025_quantile'
'us.census.acs.B01001001_quantile',
'us.census.acs.B01001002_quantile',
'us.census.acs.B01001026_quantile',
'us.census.acs.B01002001_quantile',
'us.census.acs.B03002003_quantile',
'us.census.acs.B03002004_quantile',
'us.census.acs.B03002006_quantile',
'us.census.acs.B03002012_quantile',
'us.census.acs.B05001006_quantile',--
'us.census.acs.B08006001_quantile',--
'us.census.acs.B08006002_quantile',--
'us.census.acs.B08006008_quantile',--
'us.census.acs.B08006009_quantile',--
'us.census.acs.B08006011_quantile',--
'us.census.acs.B08006015_quantile',--
'us.census.acs.B08006017_quantile',--
'us.census.acs.B09001001_quantile',--
'us.census.acs.B11001001_quantile',
'us.census.acs.B14001001_quantile',--
'us.census.acs.B14001002_quantile',--
'us.census.acs.B14001005_quantile',--
'us.census.acs.B14001006_quantile',--
'us.census.acs.B14001007_quantile',--
'us.census.acs.B14001008_quantile',--
'us.census.acs.B15003001_quantile',
'us.census.acs.B15003017_quantile',
'us.census.acs.B15003022_quantile',
'us.census.acs.B15003023_quantile',
'us.census.acs.B16001001_quantile',--
'us.census.acs.B16001002_quantile',--
'us.census.acs.B16001003_quantile',--
'us.census.acs.B17001001_quantile',--
'us.census.acs.B17001002_quantile',--
'us.census.acs.B19013001_quantile',
'us.census.acs.B19083001_quantile',
'us.census.acs.B19301001_quantile',
'us.census.acs.B25001001_quantile',
'us.census.acs.B25002003_quantile',
'us.census.acs.B25004002_quantile',
'us.census.acs.B25004004_quantile',
'us.census.acs.B25058001_quantile',
'us.census.acs.B25071001_quantile',
'us.census.acs.B25075001_quantile',
'us.census.acs.B25075025_quantile'
];
EXECUTE
@@ -868,7 +868,7 @@ target_cols := Array[
SELECT (_OBS_GetCategories)->>'name'
FROM cdb_observatory._OBS_GetCategories(
$1,
Array['"us.census.spielman_singleton_segments".X10'],
Array['us.census.spielman_singleton_segments.X10'],
$2)
LIMIT 1
$query$
@@ -910,7 +910,7 @@ $$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION cdb_observatory._OBS_GetCategories(
geom geometry,
dimension_names text[],
geometry_level text DEFAULT '"us.census.tiger".block_group',
geometry_level text DEFAULT 'us.census.tiger.block_group',
time_span text DEFAULT '2009 - 2013'
)
RETURNS SETOF JSON as $$

View File

@@ -66,7 +66,7 @@ BEGIN
SELECT id, description,
name,
aggregate,
replace(split_part(id,'".', 1),'"', '') source
NULL source -- TODO use tags
FROM observatory.OBS_column
where name ilike '%%' || %L || '%%'
or description ilike '%%' || %L || '%%'

View File

@@ -33,7 +33,7 @@ Done.
SELECT
cdb_observatory._OBS_GeomTable(
ST_SetSRID(ST_Point(-74.0059, 40.7128), 4326),
'"us.census.tiger".census_tract'
'us.census.tiger.census_tract'
);
_obs_geomtable
----------------------------------------------
@@ -45,7 +45,7 @@ SELECT
SELECT
cdb_observatory._OBS_GeomTable(
ST_SetSRID(ST_Point(-74.0059, 40.7128), 4326),
'"us.census.tiger".nonexistant_id' -- not in catalog
'us.census.tiger.nonexistant_id' -- not in catalog
);
_obs_geomtable
----------------
@@ -56,7 +56,7 @@ SELECT
-- SELECT
-- cdb_observatory._OBS_GeomTable(
-- ST_SetSRID(ST_Point(0,0)), -- should give back null since it's in the ocean?
-- '"us.census.tiger".census_tract'
-- 'us.census.tiger.census_tract'
-- );
-- OBS_GetColumnData
-- should give back:
@@ -67,8 +67,8 @@ SELECT
WITH result as (
SELECT
array_agg(a) expected from cdb_observatory._OBS_GetColumnData(
'"us.census.tiger".census_tract',
Array['"us.census.tiger".census_tract_geoid', '"us.census.acs".B01001001'],
'us.census.tiger.census_tract',
Array['us.census.tiger.census_tract_geoid', 'us.census.acs.B01001001'],
'2009 - 2013') a
)
select (expected)[1]::text = '{"colname":"geoid","tablename":"obs_d34555209878e8c4b37cf0b2b3d072ff129ec470","aggregate":null,"name":"US Census Tract Geoids","type":"Text","description":""}' as test_get_obs_column_with_geoid_and_census_1,
@@ -83,8 +83,8 @@ from result;
WITH result as (
SELECT
array_agg(a) expected from cdb_observatory._OBS_GetColumnData(
'"us.census.tiger".census_tract',
Array['"us.census.tiger".baloney'],
'us.census.tiger.census_tract',
Array['us.census.tiger.baloney'],
'2009 - 2013') a
)
select expected is null as OBS_GetColumnData_missing_measure
@@ -95,14 +95,14 @@ from result;
(1 row)
-- OBS_LookupCensusHuman
-- should give back: {"\"us.census.acs\".B19083001"}
-- should give back: {"us.census.acs.B19083001"}
SELECT
cdb_observatory._OBS_LookupCensusHuman(
Array['gini_index']
);
_obs_lookupcensushuman
---------------------------------
{"\"us.census.acs\".B19083001"}
{"us.census.acs.B19083001"}
(1 row)
-- should be empty array
@@ -138,15 +138,15 @@ SELECT
SELECT cdb_observatory._OBS_GetRelatedColumn(
Array[
'"es.ine".pop_0_4',
'"us.census.acs".B01001001',
'"us.census.acs".B01001002'
'es.ine.pop_0_4',
'us.census.acs.B01001001',
'us.census.acs.B01001002'
],
'denominator'
);
_obs_getrelatedcolumn
-------------------------------------------------------------
{"\"es.ine\".total_pop",NULL,"\"us.census.acs\".B01001001"}
_obs_getrelatedcolumn
-----------------------------------------------------
{"es.ine.total_pop",NULL,"us.census.acs.B01001001"}
(1 row)
-- should give back a standardized measure name

View File

@@ -35,41 +35,41 @@ _obs_searchtables_timespan_does_not_match
t
(1 row)
obs_search
("""es.ine"".total_pop","The total number of all people living in a geographic area.","Total Population",sum,es.ine)
("""us.census.acs"".B01001001","The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates.","Total Population",sum,us.census.acs)
("""us.census.acs"".B01001001_quantile","The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates.","Quantile:Total Population",quantile,us.census.acs)
("es.ine.total_pop","The total number of all people living in a geographic area.","Total Population",sum,es.ine)
("us.census.acs.B01001001","The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates.","Total Population",sum,us.census.acs)
("us.census.acs.B01001001_quantile","The total number of all people living in a given geographic area. This is a very useful catch-all denominator when calculating rates.","Quantile:Total Population",quantile,us.census.acs)
(3 rows)
boundary_id|description|time_span|tablename
"us.census.tiger".block_group|Block groups (BGs) are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number. For example, blocks 3001, 3002, 3003, ..., 3999 in census tract 1210.02 belong to BG 3 in that census tract. Most BGs were delineated by local participants in the Census Bureau\u2019s Participant Statistical Areas Program. The Census Bureau delineated BGs only where a local or tribal government declined to participate, and a regional organization or State Data Center was not available to participate.
us.census.tiger.block_group|Block groups (BGs) are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number. For example, blocks 3001, 3002, 3003, ..., 3999 in census tract 1210.02 belong to BG 3 in that census tract. Most BGs were delineated by local participants in the Census Bureau\u2019s Participant Statistical Areas Program. The Census Bureau delineated BGs only where a local or tribal government declined to participate, and a regional organization or State Data Center was not available to participate.
A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within the census tract. Within the standard census geographic hierarchy, BGs never cross state, county, or census tract boundaries but may cross the boundaries of any other geographic entity. Tribal census tracts and tribal BGs are separate and unique geographic areas defined within federally recognized American Indian reservations and can cross state and county boundaries (see \u201cTribal Census Tract\u201d and \u201cTribal Block Group\u201d). The tribal census tracts and tribal block groups may be completely different from the census tracts and block groups defined by state and county.|2013|obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1
"us.census.tiger".census_tract|Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.
us.census.tiger.census_tract|Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.
Some ranges of census tract numbers in the 2010 Census are used to identify distinctive types of census tracts. The code range in the 9400s is used for those census tracts with a majority of population, housing, or land area associated with an American Indian area and matches the numbering used in Census 2000. The code range in the 9800s is new for 2010 and is used to specifically identify special land-use census tracts; that is, census tracts defined to encompass a large area with little or no residential population with special characteristics, such as large parks or employment areas. The range of census tracts in the 9900s represents census tracts delineated specifically to cover large bodies of water. This is different from Census 2000 when water-only census tracts were assigned codes of all zeroes (000000); 000000 is no longer used as a census tract code for the 2010 Census.
The Census Bureau uses suffixes to help identify census tract changes for comparison purposes. Census tract suffixes may range from .01 to .98. As part of local review of existing census tracts before each census, some census tracts may have grown enough in population size to qualify as more than one census tract. When a census tract is split, the split parts usually retain the basic number but receive different suffixes. For example, if census tract 14 is split, the new tract numbers would be 14.01 and 14.02. In a few counties, local participants request major changes to, and renumbering of, the census tracts; however, this is generally discouraged. Changes to individual census tract boundaries usually do not result in census tract numbering changes.
The Census Bureau introduced the concept of tribal census tracts for the first time for Census 2000. Tribal census tracts for that census consisted of the standard county-based census tracts tabulated within American Indian areas, thus allowing for the tracts to ignore state and county boundaries for tabulation. The Census Bureau assigned the 9400 range of numbers to identify specific tribal census tracts; however, not all tribal census tracts used this numbering scheme. For the 2010 Census, tribal census tracts no longer are tied to or numbered in the same way as the county-based census tracts (see \u201cTribal Census Tract\u201d).|2013|obs_a92e1111ad3177676471d66bb8036e6d057f271b
"us.census.tiger".state|States and Equivalent Entities are the primary governmental divisions of the United States. In addition to the 50 states, the Census Bureau treats the District of Columbia, Puerto Rico, American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands as the statistical equivalents of states for the purpose of data presentation.|2013|obs_f3f0912fe24bc0c976e837b5a116d0c803cc01ce
"us.census.tiger".puma|PUMAs are geographic areas for which the Census Bureau provides selected extracts of raw data from a small sample of census records that are screened to protect confidentiality. These extracts are referred to as public use microdata sample (PUMS) files.
us.census.tiger.state|States and Equivalent Entities are the primary governmental divisions of the United States. In addition to the 50 states, the Census Bureau treats the District of Columbia, Puerto Rico, American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands as the statistical equivalents of states for the purpose of data presentation.|2013|obs_f3f0912fe24bc0c976e837b5a116d0c803cc01ce
us.census.tiger.puma|PUMAs are geographic areas for which the Census Bureau provides selected extracts of raw data from a small sample of census records that are screened to protect confidentiality. These extracts are referred to as public use microdata sample (PUMS) files.
For the 2010 Census, each state, the District of Columbia, Puerto Rico, and some Island Area participants delineated PUMAs for use in presenting PUMS data based on a 5 percent sample of decennial census or American Community Survey data. These areas are required to contain at least 100,000 people. This is different from Census 2000 when two types of PUMAs were defined: a 5 percent PUMA as for 2010 and an additional super-PUMA designed to provide a 1 percent sample. The PUMAs are identified by a five-digit census code unique within state.|2013|obs_0008b162b516c295d7204c9ba043ab5dbc67c59c
"us.census.tiger".zcta5|ZCTAs are approximate area representations of U.S. Postal Service (USPS) five-digit ZIP Code service areas that the Census Bureau creates using whole blocks to present statistical data from censuses and surveys. The Census Bureau defines ZCTAs by allocating each block that contains addresses to a single ZCTA, usually to the ZCTA that reflects the most frequently occurring ZIP Code for the addresses within that tabulation block. Blocks that do not contain addresses but are completely surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA; those surrounded by multiple ZCTAs will be added to a single ZCTA based on limited buffering performed between multiple ZCTAs. The Census Bureau identifies five-digit ZCTAs using a five-character numeric code that represents the most frequently occurring USPS ZIP Code within that ZCTA, and this code may contain leading zeros.
us.census.tiger.zcta5|ZCTAs are approximate area representations of U.S. Postal Service (USPS) five-digit ZIP Code service areas that the Census Bureau creates using whole blocks to present statistical data from censuses and surveys. The Census Bureau defines ZCTAs by allocating each block that contains addresses to a single ZCTA, usually to the ZCTA that reflects the most frequently occurring ZIP Code for the addresses within that tabulation block. Blocks that do not contain addresses but are completely surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA; those surrounded by multiple ZCTAs will be added to a single ZCTA based on limited buffering performed between multiple ZCTAs. The Census Bureau identifies five-digit ZCTAs using a five-character numeric code that represents the most frequently occurring USPS ZIP Code within that ZCTA, and this code may contain leading zeros.
There are significant changes to the 2010 ZCTA delineation from that used in 2000. Coverage was extended to include the Island Areas for 2010 so that the United States, Puerto Rico, and the Island Areas have ZCTAs. Unlike 2000, when areas that could not be assigned to a ZCTA were given a generic code ending in \u201cXX\u201d (land area) or \u201cHH\u201d (water area), for 2010 there is no universal coverage by ZCTAs, and only legitimate five-digit areas are defined. The 2010 ZCTAs will better represent the actual Zip Code service areas because the Census Bureau initiated a process before creation of 2010 blocks to add block boundaries that split polygons with large numbers of addresses using different Zip Codes.
Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The ZCTAs process used primarily residential addresses and was biased towards Zip Codes used for city-style mail delivery, thus there may be Zip Codes that are primarily nonresidential or boxes only that may not have a corresponding ZCTA.|2013|obs_d483723c5cc76c107d9e0af279d1e7056df3c2be
"us.census.tiger".county|The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas; the latter of which are delineated cooperatively for statistical purposes by the state of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: municipios in Puerto Rico, districts and islands in American Samoa, municipalities in the Commonwealth of the Northern Mariana Islands, and islands in the U.S. Virgin Islands. Each county or statistically equivalent entity is assigned a three-character numeric Federal Information Processing Series (FIPS) code based on alphabetical sequence that is unique within state and an eight-digit National Standard feature identifier.|2013|obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4
"us.census.tiger".state|States and Equivalent Entities are the primary governmental divisions of the United States. In addition to the 50 states, the Census Bureau treats the District of Columbia, Puerto Rico, American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands as the statistical equivalents of states for the purpose of data presentation.|2013|obs_a20f5260b618a2fe2eb95fc1e23febe0db7db096
"us.census.tiger".county|The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas; the latter of which are delineated cooperatively for statistical purposes by the state of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: municipios in Puerto Rico, districts and islands in American Samoa, municipalities in the Commonwealth of the Northern Mariana Islands, and islands in the U.S. Virgin Islands. Each county or statistically equivalent entity is assigned a three-character numeric Federal Information Processing Series (FIPS) code based on alphabetical sequence that is unique within state and an eight-digit National Standard feature identifier.|2013|obs_23da37d4e66e9de2f525572967f8618bde99a8c0
"us.census.tiger".census_tract|Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.
us.census.tiger.county|The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas; the latter of which are delineated cooperatively for statistical purposes by the state of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: municipios in Puerto Rico, districts and islands in American Samoa, municipalities in the Commonwealth of the Northern Mariana Islands, and islands in the U.S. Virgin Islands. Each county or statistically equivalent entity is assigned a three-character numeric Federal Information Processing Series (FIPS) code based on alphabetical sequence that is unique within state and an eight-digit National Standard feature identifier.|2013|obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4
us.census.tiger.state|States and Equivalent Entities are the primary governmental divisions of the United States. In addition to the 50 states, the Census Bureau treats the District of Columbia, Puerto Rico, American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands as the statistical equivalents of states for the purpose of data presentation.|2013|obs_a20f5260b618a2fe2eb95fc1e23febe0db7db096
us.census.tiger.county|The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and census areas; the latter of which are delineated cooperatively for statistical purposes by the state of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. All of the counties in Connecticut and Rhode Island and nine counties in Massachusetts were dissolved as functioning governmental entities; however, the Census Bureau continues to present data for these historical entities in order to provide comparable geographic units at the county level of the geographic hierarchy for these states and represents them as nonfunctioning legal entities in data products. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: municipios in Puerto Rico, districts and islands in American Samoa, municipalities in the Commonwealth of the Northern Mariana Islands, and islands in the U.S. Virgin Islands. Each county or statistically equivalent entity is assigned a three-character numeric Federal Information Processing Series (FIPS) code based on alphabetical sequence that is unique within state and an eight-digit National Standard feature identifier.|2013|obs_23da37d4e66e9de2f525572967f8618bde99a8c0
us.census.tiger.census_tract|Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.
Some ranges of census tract numbers in the 2010 Census are used to identify distinctive types of census tracts. The code range in the 9400s is used for those census tracts with a majority of population, housing, or land area associated with an American Indian area and matches the numbering used in Census 2000. The code range in the 9800s is new for 2010 and is used to specifically identify special land-use census tracts; that is, census tracts defined to encompass a large area with little or no residential population with special characteristics, such as large parks or employment areas. The range of census tracts in the 9900s represents census tracts delineated specifically to cover large bodies of water. This is different from Census 2000 when water-only census tracts were assigned codes of all zeroes (000000); 000000 is no longer used as a census tract code for the 2010 Census.
The Census Bureau uses suffixes to help identify census tract changes for comparison purposes. Census tract suffixes may range from .01 to .98. As part of local review of existing census tracts before each census, some census tracts may have grown enough in population size to qualify as more than one census tract. When a census tract is split, the split parts usually retain the basic number but receive different suffixes. For example, if census tract 14 is split, the new tract numbers would be 14.01 and 14.02. In a few counties, local participants request major changes to, and renumbering of, the census tracts; however, this is generally discouraged. Changes to individual census tract boundaries usually do not result in census tract numbering changes.
The Census Bureau introduced the concept of tribal census tracts for the first time for Census 2000. Tribal census tracts for that census consisted of the standard county-based census tracts tabulated within American Indian areas, thus allowing for the tracts to ignore state and county boundaries for tabulation. The Census Bureau assigned the 9400 range of numbers to identify specific tribal census tracts; however, not all tribal census tracts used this numbering scheme. For the 2010 Census, tribal census tracts no longer are tied to or numbered in the same way as the county-based census tracts (see \u201cTribal Census Tract\u201d).|2013|obs_d125aeef87aaa23287a40b454519ece22ee25acf
"us.census.tiger".block_group|Block groups (BGs) are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number. For example, blocks 3001, 3002, 3003, ..., 3999 in census tract 1210.02 belong to BG 3 in that census tract. Most BGs were delineated by local participants in the Census Bureau\u2019s Participant Statistical Areas Program. The Census Bureau delineated BGs only where a local or tribal government declined to participate, and a regional organization or State Data Center was not available to participate.
us.census.tiger.block_group|Block groups (BGs) are statistical divisions of census tracts, are generally defined to contain between 600 and 3,000 people, and are used to present data and control block numbering. A block group consists of clusters of blocks within the same census tract that have the same first digit of their four-digit census block number. For example, blocks 3001, 3002, 3003, ..., 3999 in census tract 1210.02 belong to BG 3 in that census tract. Most BGs were delineated by local participants in the Census Bureau\u2019s Participant Statistical Areas Program. The Census Bureau delineated BGs only where a local or tribal government declined to participate, and a regional organization or State Data Center was not available to participate.
A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within the census tract. Within the standard census geographic hierarchy, BGs never cross state, county, or census tract boundaries but may cross the boundaries of any other geographic entity. Tribal census tracts and tribal BGs are separate and unique geographic areas defined within federally recognized American Indian reservations and can cross state and county boundaries (see \u201cTribal Census Tract\u201d and \u201cTribal Block Group\u201d). The tribal census tracts and tribal block groups may be completely different from the census tracts and block groups defined by state and county.|2013|obs_d610cb3225f282693b8d4dcd98d2c2e2078354c6
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@@ -8,325 +8,325 @@ CREATE TABLE obs_column_tag (
);
COPY obs_column_tag (cartodb_id, the_geom, the_geom_webmercator, column_id, tag_id) FROM stdin;
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2 \N \N "es.ine".total_pop "es.ine".demographics
3 \N \N "es.ine".pop_0_4 "es.ine".demographics
4 \N \N "es.ine".pop_5_9 "es.ine".demographics
5 \N \N "es.ine".pop_10_14 "es.ine".demographics
6 \N \N "es.ine".pop_15_19 "es.ine".demographics
7 \N \N "es.ine".pop_20_24 "es.ine".demographics
8 \N \N "es.ine".pop_25_29 "es.ine".demographics
9 \N \N "es.ine".pop_30_34 "es.ine".demographics
10 \N \N "es.ine".pop_35_39 "es.ine".demographics
11 \N \N "es.ine".pop_40_44 "es.ine".demographics
12 \N \N "es.ine".pop_45_49 "es.ine".demographics
13 \N \N "es.ine".pop_50_54 "es.ine".demographics
14 \N \N "es.ine".pop_55_59 "es.ine".demographics
15 \N \N "es.ine".pop_60_64 "es.ine".demographics
16 \N \N "es.ine".pop_65_69 "es.ine".demographics
17 \N \N "es.ine".pop_70_74 "es.ine".demographics
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19 \N \N "es.ine".pop_80_84 "es.ine".demographics
20 \N \N "es.ine".pop_85_89 "es.ine".demographics
21 \N \N "es.ine".pop_90_94 "es.ine".demographics
22 \N \N "es.ine".pop_95_99 "es.ine".demographics
23 \N \N "us.census.lodes".jobs_firm_age_4_5_years "tags".income_education_employment
24 \N \N "us.census.lodes".jobs_firm_age_6_10_years "tags".income_education_employment
25 \N \N "us.census.lodes".jobs_firm_age_11_more_years "tags".income_education_employment
26 \N \N "us.census.lodes".jobs_firm_age_0_19_employees "tags".income_education_employment
27 \N \N "us.census.lodes".jobs_firm_age_20_49_employees "tags".income_education_employment
28 \N \N "us.census.lodes".jobs_firm_age_50_249_employees "tags".income_education_employment
29 \N \N "us.census.lodes".jobs_firm_age_250_499_employees "tags".income_education_employment
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43 \N \N "us.census.acs".B19001016 "us.census.acs".demographics
44 \N \N "us.census.acs".B19001016 "tags".income_education_employment
45 \N \N "us.census.acs".B23025001 "tags".income_education_employment
46 \N \N "us.census.acs".B23025001 "us.census.acs".demographics
47 \N \N "us.census.acs".B23025007 "tags".income_education_employment
48 \N \N "us.census.acs".B23025007 "us.census.acs".demographics
49 \N \N "us.census.acs".B23025002 "tags".income_education_employment
50 \N \N "us.census.acs".B23025002 "us.census.acs".demographics
51 \N \N "us.census.acs".B23025006 "tags".income_education_employment
52 \N \N "us.census.acs".B23025006 "us.census.acs".demographics
53 \N \N "us.census.acs".B23025003 "tags".income_education_employment
54 \N \N "us.census.acs".B23025003 "us.census.acs".demographics
55 \N \N "us.census.acs".B23025005 "tags".income_education_employment
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58 \N \N "us.census.acs".B23025004 "us.census.acs".demographics
59 \N \N "us.census.tiger".school_district_secondary "tags".boundary
60 \N \N "us.census.tiger".school_district_elementary "tags".boundary
61 \N \N "us.census.tiger".school_district_unified "tags".boundary
62 \N \N "us.census.tiger".county "tags".boundary
63 \N \N "us.census.tiger".state "tags".boundary
64 \N \N "us.census.tiger".puma "tags".boundary
65 \N \N "us.census.tiger".block_group "tags".boundary
66 \N \N "us.census.tiger".census_tract "tags".boundary
67 \N \N "us.census.tiger".congressional_district "tags".boundary
68 \N \N "us.census.tiger".zcta5 "tags".boundary
69 \N \N "us.census.tiger".block "tags".boundary
70 \N \N "us.census.acs".B03002005 "us.census.acs".demographics
71 \N \N "us.census.acs".B03002005 "tags".population
72 \N \N "us.census.acs".B03002005 "tags".race_age_gender
73 \N \N "us.census.acs".B03002008 "us.census.acs".demographics
74 \N \N "us.census.acs".B03002008 "tags".population
75 \N \N "us.census.acs".B03002008 "tags".race_age_gender
76 \N \N "us.census.acs".B03002009 "us.census.acs".demographics
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79 \N \N "us.census.acs".B03002002 "us.census.acs".demographics
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82 \N \N "us.census.acs".B08006004 "us.census.acs".demographics
83 \N \N "us.census.acs".B08006004 "tags".transportation
84 \N \N "us.census.acs".B08006003 "us.census.acs".demographics
85 \N \N "us.census.acs".B08006003 "tags".transportation
86 \N \N "us.census.acs".B19001017 "us.census.acs".demographics
87 \N \N "us.census.acs".B19001017 "tags".income_education_employment
88 \N \N "us.census.acs".B15003019 "us.census.acs".demographics
89 \N \N "us.census.acs".B15003019 "tags".income_education_employment
90 \N \N "us.census.acs".B15003020 "us.census.acs".demographics
91 \N \N "us.census.acs".B15003020 "tags".income_education_employment
92 \N \N "us.census.acs".B15003021 "us.census.acs".demographics
93 \N \N "us.census.acs".B15003021 "tags".income_education_employment
94 \N \N "us.census.acs".B23008010 "us.census.segments".families_with_young_children
95 \N \N "us.census.acs".B12005015 "us.census.acs".demographics
96 \N \N "us.census.acs".B12005001 "us.census.acs".demographics
97 \N \N "us.census.acs".B12005001 "tags".denominator
98 \N \N "us.census.acs".B12005002 "us.census.acs".demographics
99 \N \N "us.census.acs".B12005005 "us.census.acs".demographics
100 \N \N "us.census.acs".B12005008 "us.census.acs".demographics
101 \N \N "us.census.acs".B12005012 "us.census.acs".demographics
102 \N \N "us.census.acs".B08135001 "us.census.acs".demographics
103 \N \N "us.census.acs".B08135001 "tags".income_education_employment
104 \N \N "us.census.acs".B08134001 "us.census.acs".demographics
105 \N \N "us.census.acs".B08134001 "tags".income_education_employment
106 \N \N "us.census.acs".B08134002 "us.census.acs".demographics
107 \N \N "us.census.acs".B08134002 "tags".income_education_employment
108 \N \N "us.census.acs".B08134003 "us.census.acs".demographics
109 \N \N "us.census.acs".B08134003 "tags".income_education_employment
110 \N \N "us.census.acs".B08134004 "us.census.acs".demographics
111 \N \N "us.census.acs".B08134004 "tags".income_education_employment
112 \N \N "us.census.acs".B08134005 "us.census.acs".demographics
113 \N \N "us.census.acs".B08134005 "tags".income_education_employment
114 \N \N "us.census.acs".B08134006 "us.census.acs".demographics
115 \N \N "us.census.acs".B08134006 "tags".income_education_employment
116 \N \N "us.census.acs".B08134007 "us.census.acs".demographics
117 \N \N "us.census.acs".B08134007 "tags".income_education_employment
118 \N \N "us.census.acs".B08134008 "us.census.acs".demographics
119 \N \N "us.census.acs".B08134008 "tags".income_education_employment
120 \N \N "us.census.acs".B08134009 "us.census.acs".demographics
121 \N \N "us.census.acs".B08134009 "tags".income_education_employment
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123 \N \N "us.census.acs".B08134010 "tags".income_education_employment
124 \N \N "us.census.acs".B19001002 "us.census.acs".demographics
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126 \N \N "us.census.acs".B19001003 "us.census.acs".demographics
127 \N \N "us.census.acs".B19001003 "tags".income_education_employment
128 \N \N "us.census.acs".B19001004 "us.census.acs".demographics
129 \N \N "us.census.acs".B19001004 "tags".income_education_employment
130 \N \N "us.census.acs".B19001005 "us.census.acs".demographics
131 \N \N "us.census.acs".B19001005 "tags".income_education_employment
132 \N \N "us.census.acs".B19001006 "us.census.acs".demographics
133 \N \N "us.census.acs".B19001006 "tags".income_education_employment
134 \N \N "us.census.acs".B19001007 "us.census.acs".demographics
135 \N \N "us.census.acs".B19001007 "tags".income_education_employment
136 \N \N "us.census.acs".B01001001 "us.census.acs".demographics
137 \N \N "us.census.acs".B01001001 "tags".denominator
138 \N \N "us.census.acs".B01001001 "tags".population
139 \N \N "us.census.acs".B15001034 "us.census.segments".middle_aged_men
140 \N \N "us.census.acs".B19001008 "us.census.acs".demographics
141 \N \N "us.census.acs".B19001008 "tags".income_education_employment
142 \N \N "us.census.acs".B19001009 "us.census.acs".demographics
143 \N \N "us.census.acs".B01001002 "us.census.acs".demographics
144 \N \N "us.census.acs".B01001002 "tags".population
145 \N \N "us.census.acs".B01001026 "us.census.acs".demographics
146 \N \N "us.census.acs".B01001026 "tags".population
147 \N \N "us.census.acs".B01002001 "us.census.acs".demographics
148 \N \N "us.census.acs".B01002001 "tags".population
149 \N \N "us.census.acs".B03002003 "us.census.acs".demographics
150 \N \N "us.census.acs".B03002003 "tags".population
151 \N \N "us.census.acs".B03002003 "tags".race_age_gender
152 \N \N "us.census.acs".B03002004 "us.census.acs".demographics
153 \N \N "us.census.acs".B03002004 "tags".population
154 \N \N "us.census.acs".B03002004 "tags".race_age_gender
155 \N \N "us.census.acs".B03002006 "us.census.acs".demographics
156 \N \N "us.census.acs".B03002006 "tags".population
157 \N \N "us.census.acs".B03002006 "tags".race_age_gender
158 \N \N "us.census.acs".B03002012 "us.census.acs".demographics
159 \N \N "us.census.acs".B03002012 "tags".population
160 \N \N "us.census.acs".B03002012 "tags".race_age_gender
161 \N \N "us.census.acs".B05001006 "us.census.acs".demographics
162 \N \N "us.census.acs".B05001006 "tags".population
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164 \N \N "us.census.acs".B08006001 "tags".denominator
165 \N \N "us.census.acs".B08006001 "tags".income_education_employment
166 \N \N "us.census.acs".B08006017 "us.census.acs".demographics
167 \N \N "us.census.acs".B08006017 "tags".transportation
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170 \N \N "us.census.acs".B08006008 "us.census.acs".demographics
171 \N \N "us.census.acs".B08006008 "tags".transportation
172 \N \N "us.census.acs".B08006015 "us.census.acs".demographics
173 \N \N "us.census.acs".B08006015 "tags".transportation
174 \N \N "us.census.acs".B08006009 "us.census.acs".demographics
175 \N \N "us.census.acs".B08006009 "tags".transportation
176 \N \N "us.census.acs".B08006011 "us.census.acs".demographics
177 \N \N "us.census.acs".B08006011 "tags".transportation
178 \N \N "us.census.acs".B09001001 "us.census.acs".demographics
179 \N \N "us.census.acs".B09001001 "tags".denominator
180 \N \N "us.census.acs".B09001001 "tags".race_age_gender
181 \N \N "us.census.acs".B11001001 "us.census.acs".demographics
182 \N \N "us.census.acs".B11001001 "tags".housing
183 \N \N "us.census.acs".B14001001 "us.census.acs".demographics
184 \N \N "us.census.acs".B14001001 "tags".income_education_employment
185 \N \N "us.census.acs".B14001002 "us.census.acs".demographics
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187 \N \N "us.census.acs".B14001008 "us.census.acs".demographics
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189 \N \N "us.census.acs".B14001005 "us.census.acs".demographics
190 \N \N "us.census.acs".B14001005 "tags".income_education_employment
191 \N \N "us.census.acs".B14001006 "us.census.acs".demographics
192 \N \N "us.census.acs".B14001006 "tags".income_education_employment
193 \N \N "us.census.acs".B14001007 "us.census.acs".demographics
194 \N \N "us.census.acs".B14001007 "tags".income_education_employment
195 \N \N "us.census.acs".B15003001 "us.census.acs".demographics
196 \N \N "us.census.acs".B15003001 "tags".denominator
197 \N \N "us.census.acs".B15003001 "tags".income_education_employment
198 \N \N "us.census.acs".B15003023 "us.census.acs".demographics
199 \N \N "us.census.acs".B15003023 "tags".income_education_employment
200 \N \N "us.census.acs".B15003017 "us.census.acs".demographics
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202 \N \N "us.census.acs".B15003022 "us.census.acs".demographics
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187 \N \N us.census.acs.B14001008 us.census.acs.demographics
188 \N \N us.census.acs.B14001008 tags.income_education_employment
189 \N \N us.census.acs.B14001005 us.census.acs.demographics
190 \N \N us.census.acs.B14001005 tags.income_education_employment
191 \N \N us.census.acs.B14001006 us.census.acs.demographics
192 \N \N us.census.acs.B14001006 tags.income_education_employment
193 \N \N us.census.acs.B14001007 us.census.acs.demographics
194 \N \N us.census.acs.B14001007 tags.income_education_employment
195 \N \N us.census.acs.B15003001 us.census.acs.demographics
196 \N \N us.census.acs.B15003001 tags.denominator
197 \N \N us.census.acs.B15003001 tags.income_education_employment
198 \N \N us.census.acs.B15003023 us.census.acs.demographics
199 \N \N us.census.acs.B15003023 tags.income_education_employment
200 \N \N us.census.acs.B15003017 us.census.acs.demographics
201 \N \N us.census.acs.B15003017 tags.income_education_employment
202 \N \N us.census.acs.B15003022 us.census.acs.demographics
203 \N \N us.census.acs.B15003022 tags.income_education_employment
204 \N \N us.census.acs.B16001001 us.census.acs.demographics
205 \N \N us.census.acs.B16001001 tags.denominator
206 \N \N us.census.acs.B16001003 us.census.acs.demographics
207 \N \N us.census.acs.B16001003 tags.language
208 \N \N us.census.acs.B16001002 us.census.acs.demographics
209 \N \N us.census.acs.B16001002 tags.language
210 \N \N us.census.acs.B17001001 us.census.acs.demographics
211 \N \N us.census.acs.B17001001 tags.denominator
212 \N \N us.census.acs.B17001002 us.census.acs.demographics
213 \N \N us.census.acs.B17001002 tags.denominator
214 \N \N us.census.acs.B17001002 tags.income_education_employment
215 \N \N us.census.acs.B19013001 us.census.acs.demographics
216 \N \N us.census.acs.B19013001 tags.income_education_employment
217 \N \N us.census.acs.B19083001 us.census.acs.demographics
218 \N \N us.census.acs.B19083001 tags.income_education_employment
219 \N \N us.census.acs.B19301001 us.census.acs.demographics
220 \N \N us.census.acs.B19301001 tags.income_education_employment
221 \N \N us.census.acs.B25001001 us.census.acs.demographics
222 \N \N us.census.acs.B25001001 tags.housing
223 \N \N us.census.acs.B25001001 tags.denominator
224 \N \N us.census.acs.B25075001 us.census.acs.demographics
225 \N \N us.census.acs.B25075001 tags.housing
226 \N \N us.census.acs.B25081002 us.census.acs.demographics
227 \N \N us.census.acs.B25081002 tags.housing
228 \N \N us.census.acs.B25002003 us.census.acs.demographics
229 \N \N us.census.acs.B25002003 tags.housing
230 \N \N us.census.acs.B25004004 us.census.acs.demographics
231 \N \N us.census.acs.B25004004 tags.housing
232 \N \N us.census.acs.B25004002 us.census.acs.demographics
233 \N \N us.census.acs.B25004002 tags.housing
234 \N \N us.census.acs.B25058001 us.census.acs.demographics
235 \N \N us.census.acs.B25058001 tags.housing
236 \N \N us.census.acs.B25071001 us.census.acs.demographics
237 \N \N us.census.acs.B25071001 tags.housing
238 \N \N us.census.acs.B25071001 tags.income_education_employment
239 \N \N us.census.acs.B25075025 us.census.acs.demographics
240 \N \N us.census.acs.B25075025 tags.housing
241 \N \N us.census.acs.B23008002 us.census.segments.families_with_young_children
242 \N \N B23008010 us.census.segments.families_with_young_children
243 \N \N us.census.acs.B23008003 us.census.segments.families_with_young_children
244 \N \N us.census.acs.B23008004 us.census.segments.families_with_young_children
245 \N \N us.census.acs.B23008005 us.census.segments.families_with_young_children
246 \N \N us.census.acs.B23008006 us.census.segments.families_with_young_children
247 \N \N us.census.acs.B23008007 us.census.segments.families_with_young_children
248 \N \N us.census.acs.B23008008 us.census.segments.families_with_young_children
249 \N \N us.census.acs.B23008009 us.census.segments.families_with_young_children
250 \N \N us.census.acs.B15001027 us.census.segments.middle_aged_men
251 \N \N us.census.acs.B01001015 us.census.segments.middle_aged_men
252 \N \N us.census.acs.B01001016 us.census.segments.middle_aged_men
253 \N \N us.census.acs.B01001017 us.census.segments.middle_aged_men
254 \N \N us.census.acs.B01001018 us.census.segments.middle_aged_men
255 \N \N us.census.acs.B01001019 us.census.segments.middle_aged_men
256 \N \N us.census.acs.B01001B012 us.census.segments.middle_aged_men
257 \N \N us.census.acs.B01001B013 us.census.segments.middle_aged_men
258 \N \N us.census.acs.B01001I012 us.census.segments.middle_aged_men
259 \N \N us.census.acs.B01001I013 us.census.segments.middle_aged_men
260 \N \N us.census.acs.B01001H012 us.census.segments.middle_aged_men
261 \N \N us.census.acs.B01001H013 us.census.segments.middle_aged_men
262 \N \N us.census.acs.B01001D012 us.census.segments.middle_aged_men
263 \N \N us.census.acs.B01001D013 us.census.segments.middle_aged_men
264 \N \N us.census.acs.B15001028 us.census.segments.middle_aged_men
265 \N \N us.census.acs.B15001029 us.census.segments.middle_aged_men
266 \N \N us.census.acs.B15001030 us.census.segments.middle_aged_men
267 \N \N us.census.acs.B15001031 us.census.segments.middle_aged_men
268 \N \N us.census.acs.B15001032 us.census.segments.middle_aged_men
269 \N \N us.census.acs.B15001033 us.census.segments.middle_aged_men
270 \N \N us.census.lodes.total_jobs tags.income_education_employment
271 \N \N us.census.lodes.total_jobs tags.denominator
272 \N \N us.census.lodes.jobs_firm_age_500_more_employees tags.income_education_employment
273 \N \N us.census.lodes.jobs_age_29_or_younger tags.income_education_employment
274 \N \N us.census.lodes.jobs_age_29_or_younger tags.race_age_gender
275 \N \N us.census.lodes.jobs_age_30_to_54 tags.income_education_employment
276 \N \N us.census.lodes.jobs_age_30_to_54 tags.race_age_gender
277 \N \N us.census.lodes.jobs_age_55_or_older tags.income_education_employment
278 \N \N us.census.lodes.jobs_age_55_or_older tags.race_age_gender
279 \N \N us.census.lodes.jobs_earning_15000_or_less tags.income_education_employment
280 \N \N us.census.lodes.jobs_earning_15001_to_40000 tags.income_education_employment
281 \N \N us.census.lodes.jobs_earning_40001_or_more tags.income_education_employment
282 \N \N us.census.lodes.jobs_11_agriculture_forestry_fishing tags.income_education_employment
283 \N \N us.census.lodes.jobs_21_mining_quarrying_oil_gas tags.income_education_employment
284 \N \N us.census.lodes.jobs_22_utilities tags.income_education_employment
285 \N \N us.census.lodes.jobs_23_construction tags.income_education_employment
286 \N \N us.census.lodes.jobs_31_33_manufacturing tags.income_education_employment
287 \N \N us.census.lodes.jobs_42_wholesale_trade tags.income_education_employment
288 \N \N us.census.lodes.jobs_44_45_retail_trade tags.income_education_employment
289 \N \N us.census.lodes.jobs_48_49_transport_warehousing tags.income_education_employment
290 \N \N us.census.lodes.jobs_51_information tags.income_education_employment
291 \N \N us.census.lodes.jobs_52_finance_and_insurance tags.income_education_employment
292 \N \N us.census.lodes.jobs_53_real_estate_rental_leasing tags.income_education_employment
293 \N \N us.census.lodes.jobs_54_professional_scientific_tech_services tags.income_education_employment
294 \N \N us.census.lodes.jobs_55_management_of_companies_enterprises tags.income_education_employment
295 \N \N us.census.lodes.jobs_56_admin_support_waste_management tags.income_education_employment
296 \N \N us.census.lodes.jobs_61_educational_services tags.income_education_employment
297 \N \N us.census.lodes.jobs_62_healthcare_social_assistance tags.income_education_employment
298 \N \N us.census.lodes.jobs_71_arts_entertainment_recreation tags.income_education_employment
299 \N \N us.census.lodes.jobs_72_accommodation_and_food tags.income_education_employment
300 \N \N us.census.lodes.jobs_81_other_services_except_public_admin tags.income_education_employment
301 \N \N us.census.lodes.jobs_92_public_administration tags.income_education_employment
302 \N \N us.census.lodes.jobs_white tags.income_education_employment
303 \N \N us.census.lodes.jobs_white tags.race_age_gender
304 \N \N us.census.lodes.jobs_black tags.income_education_employment
305 \N \N us.census.lodes.jobs_black tags.race_age_gender
306 \N \N us.census.lodes.jobs_asian tags.income_education_employment
307 \N \N us.census.lodes.jobs_asian tags.race_age_gender
308 \N \N us.census.lodes.jobs_hispanic tags.income_education_employment
309 \N \N us.census.lodes.jobs_hispanic tags.race_age_gender
310 \N \N us.census.lodes.jobs_less_than_high_school tags.income_education_employment
311 \N \N us.census.lodes.jobs_high_school tags.income_education_employment
312 \N \N us.census.lodes.jobs_some_college tags.income_education_employment
313 \N \N us.census.lodes.jobs_bachelors_or_advanced tags.income_education_employment
314 \N \N us.census.lodes.jobs_male tags.race_age_gender
315 \N \N us.census.lodes.jobs_male tags.income_education_employment
316 \N \N us.census.lodes.jobs_female tags.race_age_gender
317 \N \N us.census.lodes.jobs_female tags.income_education_employment
318 \N \N us.census.lodes.jobs_firm_age_0_1_years tags.income_education_employment
319 \N \N us.census.lodes.jobs_firm_age_2_3_years tags.income_education_employment
\.
CREATE SCHEMA IF NOT EXISTS observatory;

View File

@@ -1,294 +1,294 @@
CREATE TABLE obs_column_to_column(cartodb_id bigint, the_geom geometry, the_geom_webmercator geometry, source_id text, target_id text, reltype text);
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (1, NULL, NULL, '"es.ine".pop_100_more', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (2, NULL, NULL, '"es.ine".pop_0_4', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (3, NULL, NULL, '"es.ine".pop_5_9', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (4, NULL, NULL, '"es.ine".pop_10_14', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (5, NULL, NULL, '"es.ine".pop_15_19', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (6, NULL, NULL, '"es.ine".pop_20_24', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (7, NULL, NULL, '"es.ine".pop_25_29', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (8, NULL, NULL, '"es.ine".pop_30_34', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (9, NULL, NULL, '"es.ine".pop_35_39', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (10, NULL, NULL, '"es.ine".pop_40_44', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (11, NULL, NULL, '"es.ine".pop_45_49', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (12, NULL, NULL, '"es.ine".pop_50_54', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (13, NULL, NULL, '"es.ine".pop_55_59', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (14, NULL, NULL, '"es.ine".pop_60_64', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (15, NULL, NULL, '"es.ine".pop_65_69', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (16, NULL, NULL, '"es.ine".pop_70_74', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (17, NULL, NULL, '"es.ine".pop_75_79', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (18, NULL, NULL, '"es.ine".pop_80_84', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (19, NULL, NULL, '"es.ine".pop_85_89', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (20, NULL, NULL, '"es.ine".pop_90_94', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (21, NULL, NULL, '"es.ine".pop_95_99', '"es.ine".total_pop', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (22, NULL, NULL, '"us.census.lodes".jobs_firm_age_500_more_employees', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (23, NULL, NULL, '"us.census.lodes".jobs_age_29_or_younger', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (24, NULL, NULL, '"us.census.lodes".jobs_age_30_to_54', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (25, NULL, NULL, '"us.census.lodes".jobs_age_55_or_older', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (26, NULL, NULL, '"us.census.lodes".jobs_earning_15000_or_less', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (27, NULL, NULL, '"us.census.lodes".jobs_earning_15001_to_40000', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (28, NULL, NULL, '"us.census.lodes".jobs_earning_40001_or_more', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (29, NULL, NULL, '"us.census.lodes".jobs_11_agriculture_forestry_fishing', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (30, NULL, NULL, '"us.census.lodes".jobs_21_mining_quarrying_oil_gas', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (31, NULL, NULL, '"us.census.lodes".jobs_22_utilities', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (32, NULL, NULL, '"us.census.lodes".jobs_23_construction', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (33, NULL, NULL, '"us.census.lodes".jobs_31_33_manufacturing', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (34, NULL, NULL, '"us.census.lodes".jobs_42_wholesale_trade', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (35, NULL, NULL, '"us.census.lodes".jobs_44_45_retail_trade', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (36, NULL, NULL, '"us.census.lodes".jobs_48_49_transport_warehousing', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (37, NULL, NULL, '"us.census.lodes".jobs_51_information', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (38, NULL, NULL, '"us.census.lodes".jobs_52_finance_and_insurance', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (39, NULL, NULL, '"us.census.lodes".jobs_53_real_estate_rental_leasing', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (40, NULL, NULL, '"us.census.lodes".jobs_54_professional_scientific_tech_services', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (41, NULL, NULL, '"us.census.lodes".jobs_55_management_of_companies_enterprises', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (42, NULL, NULL, '"us.census.lodes".jobs_56_admin_support_waste_management', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (43, NULL, NULL, '"us.census.lodes".jobs_61_educational_services', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (44, NULL, NULL, '"us.census.lodes".jobs_62_healthcare_social_assistance', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (45, NULL, NULL, '"us.census.lodes".jobs_71_arts_entertainment_recreation', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (46, NULL, NULL, '"us.census.lodes".jobs_72_accommodation_and_food', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (47, NULL, NULL, '"us.census.lodes".jobs_81_other_services_except_public_admin', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (48, NULL, NULL, '"us.census.lodes".jobs_92_public_administration', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (49, NULL, NULL, '"us.census.lodes".jobs_white', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (50, NULL, NULL, '"us.census.lodes".jobs_black', '"us.census.lodes".total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (51, NULL, NULL, '"us.census.lodes".jobs_asian', '"us.census.lodes".total_jobs', 'denominator');
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INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (47, NULL, NULL, 'us.census.lodes.jobs_81_other_services_except_public_admin', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (48, NULL, NULL, 'us.census.lodes.jobs_92_public_administration', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (49, NULL, NULL, 'us.census.lodes.jobs_white', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (50, NULL, NULL, 'us.census.lodes.jobs_black', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (51, NULL, NULL, 'us.census.lodes.jobs_asian', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (52, NULL, NULL, 'us.census.lodes.jobs_hispanic', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (53, NULL, NULL, 'us.census.lodes.jobs_less_than_high_school', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (54, NULL, NULL, 'us.census.lodes.jobs_high_school', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (55, NULL, NULL, 'us.census.lodes.jobs_some_college', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (56, NULL, NULL, 'us.census.lodes.jobs_bachelors_or_advanced', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (57, NULL, NULL, 'us.census.lodes.jobs_male', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (58, NULL, NULL, 'us.census.lodes.jobs_female', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (59, NULL, NULL, 'us.census.lodes.jobs_firm_age_0_1_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (60, NULL, NULL, 'us.census.lodes.jobs_firm_age_2_3_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (61, NULL, NULL, 'us.census.lodes.jobs_firm_age_4_5_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (62, NULL, NULL, 'us.census.lodes.jobs_firm_age_6_10_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (63, NULL, NULL, 'us.census.lodes.jobs_firm_age_11_more_years', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (64, NULL, NULL, 'us.census.lodes.jobs_firm_age_0_19_employees', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (65, NULL, NULL, 'us.census.lodes.jobs_firm_age_20_49_employees', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (66, NULL, NULL, 'us.census.lodes.jobs_firm_age_50_249_employees', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (67, NULL, NULL, 'us.census.lodes.jobs_firm_age_250_499_employees', 'us.census.lodes.total_jobs', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (68, NULL, NULL, 'us.census.tiger.census_tract_geoid', 'us.census.tiger.census_tract', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (69, NULL, NULL, 'us.census.tiger.county_geoid', 'us.census.tiger.county', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (70, NULL, NULL, 'us.census.tiger.congressional_district_geoid', 'us.census.tiger.congressional_district', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (71, NULL, NULL, 'us.census.tiger.block_geoid', 'us.census.tiger.block', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (72, NULL, NULL, 'us.census.tiger.zcta5_geoid', 'us.census.tiger.zcta5', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (73, NULL, NULL, 'us.census.tiger.puma_geoid', 'us.census.tiger.puma', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (74, NULL, NULL, 'us.census.tiger.state_geoid', 'us.census.tiger.state', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (75, NULL, NULL, 'us.census.tiger.block_group_geoid', 'us.census.tiger.block_group', 'geom_ref');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (76, NULL, NULL, 'us.census.acs.B01001002', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (77, NULL, NULL, 'us.census.acs.B01001026', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (78, NULL, NULL, 'us.census.acs.B03002003', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (79, NULL, NULL, 'us.census.acs.B03002004', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (80, NULL, NULL, 'us.census.acs.B03002006', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (81, NULL, NULL, 'us.census.acs.B03002012', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (82, NULL, NULL, 'us.census.acs.B15001034', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (83, NULL, NULL, 'us.census.acs.B08006017', 'us.census.acs.B08006001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (84, NULL, NULL, 'us.census.acs.B08006015', 'us.census.acs.B08006008', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (85, NULL, NULL, 'us.census.acs.B03002005', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (86, NULL, NULL, 'us.census.acs.B14001002', 'us.census.acs.B14001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (87, NULL, NULL, 'us.census.acs.B14001008', 'us.census.acs.B14001002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (88, NULL, NULL, 'us.census.acs.B15003023', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (89, NULL, NULL, 'us.census.acs.B16001003', 'us.census.acs.B16001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (90, NULL, NULL, 'us.census.acs.B17001002', 'us.census.acs.B17001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (91, NULL, NULL, 'us.census.acs.B25075001', 'us.census.acs.B25001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (92, NULL, NULL, 'us.census.acs.B25081002', 'us.census.acs.B25075001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (93, NULL, NULL, 'us.census.acs.B25004004', 'us.census.acs.B25002003', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (94, NULL, NULL, 'us.census.acs.B03002008', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (95, NULL, NULL, 'us.census.acs.B03002009', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (96, NULL, NULL, 'us.census.acs.B03002002', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (97, NULL, NULL, 'us.census.acs.B05001006', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (98, NULL, NULL, 'us.census.acs.B08006004', 'us.census.acs.B08006002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (99, NULL, NULL, 'us.census.acs.B08006003', 'us.census.acs.B08006002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (100, NULL, NULL, 'us.census.acs.B08006009', 'us.census.acs.B08006008', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (101, NULL, NULL, 'us.census.acs.B08006011', 'us.census.acs.B08006008', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (102, NULL, NULL, 'us.census.acs.B19001017', 'us.census.acs.B11001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (103, NULL, NULL, 'us.census.acs.B14001005', 'us.census.acs.B14001002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (104, NULL, NULL, 'us.census.acs.B14001006', 'us.census.acs.B14001002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (105, NULL, NULL, 'us.census.acs.B14001007', 'us.census.acs.B14001002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (106, NULL, NULL, 'us.census.acs.B15003017', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (107, NULL, NULL, 'us.census.acs.B15003019', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (108, NULL, NULL, 'us.census.acs.B15003020', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (109, NULL, NULL, 'us.census.acs.B15003021', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (110, NULL, NULL, 'us.census.acs.B15003022', 'us.census.acs.B15003001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (111, NULL, NULL, 'us.census.acs.B16001002', 'us.census.acs.B16001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (112, NULL, NULL, 'us.census.acs.B25004002', 'us.census.acs.B25002003', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (113, NULL, NULL, 'us.census.acs.B25075025', 'us.census.acs.B25075001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (114, NULL, NULL, 'us.census.acs.B23008010', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (115, NULL, NULL, 'us.census.acs.B23008003', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (116, NULL, NULL, 'us.census.acs.B23008004', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (117, NULL, NULL, 'us.census.acs.B23008005', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (118, NULL, NULL, 'us.census.acs.B23008006', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (119, NULL, NULL, 'us.census.acs.B23008007', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (120, NULL, NULL, 'us.census.acs.B23008008', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (121, NULL, NULL, 'us.census.acs.B23008009', 'us.census.acs.B23008002', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (122, NULL, NULL, 'us.census.acs.B01001015', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (123, NULL, NULL, 'us.census.acs.B01001016', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (124, NULL, NULL, 'us.census.acs.B01001017', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (125, NULL, NULL, 'us.census.acs.B01001018', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (126, NULL, NULL, 'us.census.acs.B01001019', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (127, NULL, NULL, 'us.census.acs.B01001B012', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (128, NULL, NULL, 'us.census.acs.B01001B013', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (129, NULL, NULL, 'us.census.acs.B01001I012', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (130, NULL, NULL, 'us.census.acs.B01001I013', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (131, NULL, NULL, 'us.census.acs.B01001H012', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (132, NULL, NULL, 'us.census.acs.B01001H013', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (133, NULL, NULL, 'us.census.acs.B01001D012', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (134, NULL, NULL, 'us.census.acs.B01001D013', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (135, NULL, NULL, 'us.census.acs.B15001028', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (136, NULL, NULL, 'us.census.acs.B15001029', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (137, NULL, NULL, 'us.census.acs.B15001030', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (138, NULL, NULL, 'us.census.acs.B15001031', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (139, NULL, NULL, 'us.census.acs.B15001032', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (140, NULL, NULL, 'us.census.acs.B15001033', 'us.census.acs.B01001001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (141, NULL, NULL, 'us.census.acs.B12005015', 'us.census.acs.B12005001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (142, NULL, NULL, 'us.census.acs.B12005002', 'us.census.acs.B12005001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (143, NULL, NULL, 'us.census.acs.B12005005', 'us.census.acs.B12005001', 'denominator');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (144, NULL, NULL, 'us.census.acs.B12005008', 'us.census.acs.B12005001', 'denominator');
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INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (190, NULL, NULL, 'us.census.acs.B08006011_quantile', 'us.census.acs.B08006011', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (191, NULL, NULL, 'us.census.acs.B08006015_quantile', 'us.census.acs.B08006015', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (192, NULL, NULL, 'us.census.acs.B08006017_quantile', 'us.census.acs.B08006017', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (193, NULL, NULL, 'us.census.acs.B09001001_quantile', 'us.census.acs.B09001001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (194, NULL, NULL, 'us.census.acs.B11001001_quantile', 'us.census.acs.B11001001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (195, NULL, NULL, 'us.census.acs.B14001001_quantile', 'us.census.acs.B14001001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (196, NULL, NULL, 'us.census.acs.B14001002_quantile', 'us.census.acs.B14001002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (197, NULL, NULL, 'us.census.acs.B14001005_quantile', 'us.census.acs.B14001005', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (198, NULL, NULL, 'us.census.acs.B14001006_quantile', 'us.census.acs.B14001006', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (199, NULL, NULL, 'us.census.acs.B14001007_quantile', 'us.census.acs.B14001007', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (200, NULL, NULL, 'us.census.acs.B14001008_quantile', 'us.census.acs.B14001008', 'quantile_source');
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INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (203, NULL, NULL, 'us.census.acs.B15003019_quantile', 'us.census.acs.B15003019', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (204, NULL, NULL, 'us.census.acs.B15003020_quantile', 'us.census.acs.B15003020', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (205, NULL, NULL, 'us.census.acs.B15003021_quantile', 'us.census.acs.B15003021', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (206, NULL, NULL, 'us.census.acs.B15003022_quantile', 'us.census.acs.B15003022', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (207, NULL, NULL, 'us.census.acs.B15003023_quantile', 'us.census.acs.B15003023', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (208, NULL, NULL, 'us.census.acs.B16001001_quantile', 'us.census.acs.B16001001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (209, NULL, NULL, 'us.census.acs.B16001002_quantile', 'us.census.acs.B16001002', 'quantile_source');
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INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (237, NULL, NULL, 'us.census.acs.B01001018_quantile', 'us.census.acs.B01001018', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (238, NULL, NULL, 'us.census.acs.B01001019_quantile', 'us.census.acs.B01001019', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (239, NULL, NULL, 'us.census.acs.B01001B012_quantile', 'us.census.acs.B01001B012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (240, NULL, NULL, 'us.census.acs.B01001B013_quantile', 'us.census.acs.B01001B013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (241, NULL, NULL, 'us.census.acs.B01001I012_quantile', 'us.census.acs.B01001I012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (242, NULL, NULL, 'us.census.acs.B01001I013_quantile', 'us.census.acs.B01001I013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (243, NULL, NULL, 'us.census.acs.B01001H012_quantile', 'us.census.acs.B01001H012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (244, NULL, NULL, 'us.census.acs.B01001H013_quantile', 'us.census.acs.B01001H013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (245, NULL, NULL, 'us.census.acs.B01001D012_quantile', 'us.census.acs.B01001D012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (246, NULL, NULL, 'us.census.acs.B01001D013_quantile', 'us.census.acs.B01001D013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (247, NULL, NULL, 'us.census.acs.B15001028_quantile', 'us.census.acs.B15001028', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (248, NULL, NULL, 'us.census.acs.B15001029_quantile', 'us.census.acs.B15001029', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (249, NULL, NULL, 'us.census.acs.B15001030_quantile', 'us.census.acs.B15001030', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (250, NULL, NULL, 'us.census.acs.B15001031_quantile', 'us.census.acs.B15001031', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (251, NULL, NULL, 'us.census.acs.B15001032_quantile', 'us.census.acs.B15001032', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (252, NULL, NULL, 'us.census.acs.B15001033_quantile', 'us.census.acs.B15001033', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (253, NULL, NULL, 'us.census.acs.B15001034_quantile', 'us.census.acs.B15001034', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (254, NULL, NULL, 'us.census.acs.B23008010_quantile', 'us.census.acs.B23008010', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (255, NULL, NULL, 'us.census.acs.B12005001_quantile', 'us.census.acs.B12005001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (256, NULL, NULL, 'us.census.acs.B12005002_quantile', 'us.census.acs.B12005002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (257, NULL, NULL, 'us.census.acs.B12005005_quantile', 'us.census.acs.B12005005', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (258, NULL, NULL, 'us.census.acs.B12005008_quantile', 'us.census.acs.B12005008', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (259, NULL, NULL, 'us.census.acs.B12005012_quantile', 'us.census.acs.B12005012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (260, NULL, NULL, 'us.census.acs.B12005015_quantile', 'us.census.acs.B12005015', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (261, NULL, NULL, 'us.census.acs.B08134001_quantile', 'us.census.acs.B08134001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (262, NULL, NULL, 'us.census.acs.B08134002_quantile', 'us.census.acs.B08134002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (263, NULL, NULL, 'us.census.acs.B08134003_quantile', 'us.census.acs.B08134003', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (264, NULL, NULL, 'us.census.acs.B08134004_quantile', 'us.census.acs.B08134004', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (265, NULL, NULL, 'us.census.acs.B08134005_quantile', 'us.census.acs.B08134005', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (266, NULL, NULL, 'us.census.acs.B08134006_quantile', 'us.census.acs.B08134006', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (267, NULL, NULL, 'us.census.acs.B08134007_quantile', 'us.census.acs.B08134007', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (268, NULL, NULL, 'us.census.acs.B08134008_quantile', 'us.census.acs.B08134008', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (269, NULL, NULL, 'us.census.acs.B08134009_quantile', 'us.census.acs.B08134009', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (270, NULL, NULL, 'us.census.acs.B08134010_quantile', 'us.census.acs.B08134010', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (271, NULL, NULL, 'us.census.acs.B08135001_quantile', 'us.census.acs.B08135001', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (272, NULL, NULL, 'us.census.acs.B19001002_quantile', 'us.census.acs.B19001002', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (273, NULL, NULL, 'us.census.acs.B19001003_quantile', 'us.census.acs.B19001003', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (274, NULL, NULL, 'us.census.acs.B19001004_quantile', 'us.census.acs.B19001004', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (275, NULL, NULL, 'us.census.acs.B19001005_quantile', 'us.census.acs.B19001005', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (276, NULL, NULL, 'us.census.acs.B19001006_quantile', 'us.census.acs.B19001006', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (277, NULL, NULL, 'us.census.acs.B19001007_quantile', 'us.census.acs.B19001007', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (278, NULL, NULL, 'us.census.acs.B19001008_quantile', 'us.census.acs.B19001008', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (279, NULL, NULL, 'us.census.acs.B19001009_quantile', 'us.census.acs.B19001009', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (280, NULL, NULL, 'us.census.acs.B19001010_quantile', 'us.census.acs.B19001010', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (281, NULL, NULL, 'us.census.acs.B19001011_quantile', 'us.census.acs.B19001011', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (282, NULL, NULL, 'us.census.acs.B19001012_quantile', 'us.census.acs.B19001012', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (283, NULL, NULL, 'us.census.acs.B19001013_quantile', 'us.census.acs.B19001013', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (284, NULL, NULL, 'us.census.acs.B19001014_quantile', 'us.census.acs.B19001014', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (285, NULL, NULL, 'us.census.acs.B19001015_quantile', 'us.census.acs.B19001015', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (286, NULL, NULL, 'us.census.acs.B19001016_quantile', 'us.census.acs.B19001016', 'quantile_source');
INSERT INTO obs_column_to_column (cartodb_id, the_geom, the_geom_webmercator, source_id, target_id, reltype) VALUES (287, NULL, NULL, 'us.census.acs.B19001017_quantile', 'us.census.acs.B19001017', 'quantile_source');
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_column_to_column SET SCHEMA observatory;
ALTER TABLE obs_column_to_column SET SCHEMA observatory;

View File

@@ -2,38 +2,38 @@ CREATE TABLE obs_table(cartodb_id bigint, the_geom geometry, the_geom_webmercato
-- Commented out until somebody actually adds that fixture
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (1, NULL, NULL, '"us.census.spielman_singleton_segments".spielman_singleton_table_99914b932b', 'obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (1, NULL, NULL, 'us.census.spielman_singleton_segments.spielman_singleton_table_99914b932b', 'obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (2, NULL, NULL, '"us.census.acs".extract_block_group_5yr_2013_69b156927c', 'obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (3, NULL, NULL, '"us.census.tiger".sum_level_false_block_group_2013_5c764f39d2', 'obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (4, NULL, NULL, '"us.census.tiger".sum_level_false_census_tract_2013_c489085a44', 'obs_a92e1111ad3177676471d66bb8036e6d057f271b', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (5, NULL, NULL, '"us.ny.nyc.opendata".acris_master_99914b932b', 'obs_811c938d1307530a3db53fc69f11a2499174d224', '1966 - present', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (6, NULL, NULL, '"us.census.tiger".sum_level_false_county_2013_66804ade17', 'obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (7, NULL, NULL, '"us.census.tiger".sum_level_false_puma_2013_4a11a4ba96', 'obs_0008b162b516c295d7204c9ba043ab5dbc67c59c', '2013', 'BOX(-179.231086 13.182335,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (8, NULL, NULL, '"us.census.tiger".sum_level_true_state_2013_f1ab8fce27', 'obs_a20f5260b618a2fe2eb95fc1e23febe0db7db096', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (9, NULL, NULL, '"us.census.tiger".sum_level_true_county_2013_39133ea7a1', 'obs_23da37d4e66e9de2f525572967f8618bde99a8c0', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (10, NULL, NULL, '"us.census.tiger".sum_level_false_zcta5_2013_bf420fa8c1', 'obs_d483723c5cc76c107d9e0af279d1e7056df3c2be', '2013', 'BOX(-176.684744 -14.373765,145.830505 71.341324)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (11, NULL, NULL, '"us.census.tiger".sum_level_true_census_tract_2013_6a2cf9dee9', 'obs_d125aeef87aaa23287a40b454519ece22ee25acf', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (12, NULL, NULL, '"us.census.tiger".sum_level_true_block_group_2013_5ecb940395', 'obs_d610cb3225f282693b8d4dcd98d2c2e2078354c6', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (13, NULL, NULL, '"us.census.acs".extract_state_5yr_2013_c6cc7dd346', 'obs_92bdae84ae8d41fabca52500e4e1f55c394b696e', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (14, NULL, NULL, '"us.census.acs".extract_puma_5yr_2013_e9f0d7bc6c', 'obs_a875390344c7e36b72a8d6a3d25ae0f2bb41eaee', '2009 - 2013', 'BOX(-179.231086 13.182335,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (15, NULL, NULL, '"us.census.acs".extract_county_5yr_2013_5d7844896c', 'obs_75edf4ed5271a95f13755e9d06b80740b2fde0ba', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (16, NULL, NULL, '"us.census.acs".extract_zcta5_5yr_2013_dc39ebe0d5', 'obs_e99034a8fff4654142aed05d887f745a32cedc9f', '2009 - 2013', 'BOX(-176.684744 -14.373765,145.830505 71.341324)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (17, NULL, NULL, '"us.census.acs".extract_census_tract_5yr_2013_a0eee6bf1a', 'obs_ab038198aaab3f3cb055758638ee4de28ad70146', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (18, NULL, NULL, '"us.bls".raw_qcew_2013_dd20d99063', 'obs_530081a407e8793b7fef6666ebc46db0fcc9db2c', '2013', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (19, NULL, NULL, '"us.bls".naics_99914b932b', 'obs_609c848c80950261032da680294bb1e3ddcf43b6', NULL, 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (20, NULL, NULL, '"us.bls".simple_qcew_4_2013_94c2fc9ef1', 'obs_4560238b6b0050979ad151becc37c6eecfb7e6ad', '2013Q4', 'BOX(0 0,0 0)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (21, NULL, NULL, '"us.census.lodes".workplace_area_characteristics_2013_dd20d99063', 'obs_5bc83d67ea2863b1712078813a730eee753cf316', '2013', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (22, NULL, NULL, '"us.bls".qcew_4_2013_94c2fc9ef1', 'obs_5ed30fab78289e09c30cfd16981b8143ca8fdaa4', '2013Q4', 'BOX(0 0,0 0)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (23, NULL, NULL, '"us.ny.nyc.opendata".acris_legals_99914b932b', 'obs_fd0a697088f5ffcbe4641fb62ad6e2c74eed55d5', '', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (24, NULL, NULL, '"us.census.spielman_singleton_segments".create_spielman_singleton_table_99914b932b', 'obs_11ee8b82c877c073438bc935a91d3dfccef875d1', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 3);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (25, NULL, NULL, '"us.census.acs".quantiles_block_group_5yr_2013_69b156927c', 'obs_0932dc0392ca14a6b43e6e131943de9af2ee46b2', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (26, NULL, NULL, '"us.census.acs".quantiles_puma_5yr_2013_e9f0d7bc6c', 'obs_032792417d754aa7708d6ba716eb446904f12c46', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (27, NULL, NULL, '"us.census.acs".quantiles_census_tract_5yr_2013_a0eee6bf1a', 'obs_d34555209878e8c4b37cf0b2b3d072ff129ec470', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (28, NULL, NULL, '"us.census.tiger".sum_level_false_state_2013_0b919d8984', 'obs_f3f0912fe24bc0c976e837b5a116d0c803cc01ce', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (29, NULL, NULL, '"us.census.acs".quantiles_zcta5_5yr_2013_dc39ebe0d5', 'obs_a31255ed256a27d69a9ea777621ad218f6f1f030', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (30, NULL, NULL, '"us.census.acs".quantiles_state_5yr_2013_c6cc7dd346', 'obs_90e9293f578fab0bf2dabf5e387a57d9a2739a08', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (31, NULL, NULL, '"us.census.acs".quantiles_county_5yr_2013_5d7844896c', 'obs_98cefd377c2ff17a2d60b9a6fe090af629073ec4', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (2, NULL, NULL, 'us.census.acs.extract_block_group_5yr_2013_69b156927c', 'obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (3, NULL, NULL, 'us.census.tiger.sum_level_false_block_group_2013_5c764f39d2', 'obs_85328201013baa14e8e8a4a57a01e6f6fbc5f9b1', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (4, NULL, NULL, 'us.census.tiger.sum_level_false_census_tract_2013_c489085a44', 'obs_a92e1111ad3177676471d66bb8036e6d057f271b', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (5, NULL, NULL, 'us.ny.nyc.opendata.acris_master_99914b932b', 'obs_811c938d1307530a3db53fc69f11a2499174d224', '1966 - present', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (6, NULL, NULL, 'us.census.tiger.sum_level_false_county_2013_66804ade17', 'obs_b0ef6dd68d5faddbf231fd7f02916b3d00ec43c4', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (7, NULL, NULL, 'us.census.tiger.sum_level_false_puma_2013_4a11a4ba96', 'obs_0008b162b516c295d7204c9ba043ab5dbc67c59c', '2013', 'BOX(-179.231086 13.182335,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (8, NULL, NULL, 'us.census.tiger.sum_level_true_state_2013_f1ab8fce27', 'obs_a20f5260b618a2fe2eb95fc1e23febe0db7db096', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (9, NULL, NULL, 'us.census.tiger.sum_level_true_county_2013_39133ea7a1', 'obs_23da37d4e66e9de2f525572967f8618bde99a8c0', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (10, NULL, NULL, 'us.census.tiger.sum_level_false_zcta5_2013_bf420fa8c1', 'obs_d483723c5cc76c107d9e0af279d1e7056df3c2be', '2013', 'BOX(-176.684744 -14.373765,145.830505 71.341324)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (11, NULL, NULL, 'us.census.tiger.sum_level_true_census_tract_2013_6a2cf9dee9', 'obs_d125aeef87aaa23287a40b454519ece22ee25acf', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (12, NULL, NULL, 'us.census.tiger.sum_level_true_block_group_2013_5ecb940395', 'obs_d610cb3225f282693b8d4dcd98d2c2e2078354c6', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (13, NULL, NULL, 'us.census.acs.extract_state_5yr_2013_c6cc7dd346', 'obs_92bdae84ae8d41fabca52500e4e1f55c394b696e', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (14, NULL, NULL, 'us.census.acs.extract_puma_5yr_2013_e9f0d7bc6c', 'obs_a875390344c7e36b72a8d6a3d25ae0f2bb41eaee', '2009 - 2013', 'BOX(-179.231086 13.182335,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (15, NULL, NULL, 'us.census.acs.extract_county_5yr_2013_5d7844896c', 'obs_75edf4ed5271a95f13755e9d06b80740b2fde0ba', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (16, NULL, NULL, 'us.census.acs.extract_zcta5_5yr_2013_dc39ebe0d5', 'obs_e99034a8fff4654142aed05d887f745a32cedc9f', '2009 - 2013', 'BOX(-176.684744 -14.373765,145.830505 71.341324)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (17, NULL, NULL, 'us.census.acs.extract_census_tract_5yr_2013_a0eee6bf1a', 'obs_ab038198aaab3f3cb055758638ee4de28ad70146', '2009 - 2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (18, NULL, NULL, 'us.bls.raw_qcew_2013_dd20d99063', 'obs_530081a407e8793b7fef6666ebc46db0fcc9db2c', '2013', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (19, NULL, NULL, 'us.bls.naics_99914b932b', 'obs_609c848c80950261032da680294bb1e3ddcf43b6', NULL, 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (20, NULL, NULL, 'us.bls.simple_qcew_4_2013_94c2fc9ef1', 'obs_4560238b6b0050979ad151becc37c6eecfb7e6ad', '2013Q4', 'BOX(0 0,0 0)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (21, NULL, NULL, 'us.census.lodes.workplace_area_characteristics_2013_dd20d99063', 'obs_5bc83d67ea2863b1712078813a730eee753cf316', '2013', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (22, NULL, NULL, 'us.bls.qcew_4_2013_94c2fc9ef1', 'obs_5ed30fab78289e09c30cfd16981b8143ca8fdaa4', '2013Q4', 'BOX(0 0,0 0)', NULL, 1);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (23, NULL, NULL, 'us.ny.nyc.opendata.acris_legals_99914b932b', 'obs_fd0a697088f5ffcbe4641fb62ad6e2c74eed55d5', '', 'BOX(0 0,0 0)', NULL, 0);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (24, NULL, NULL, 'us.census.spielman_singleton_segments.create_spielman_singleton_table_99914b932b', 'obs_11ee8b82c877c073438bc935a91d3dfccef875d1', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 3);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (25, NULL, NULL, 'us.census.acs.quantiles_block_group_5yr_2013_69b156927c', 'obs_0932dc0392ca14a6b43e6e131943de9af2ee46b2', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (26, NULL, NULL, 'us.census.acs.quantiles_puma_5yr_2013_e9f0d7bc6c', 'obs_032792417d754aa7708d6ba716eb446904f12c46', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (27, NULL, NULL, 'us.census.acs.quantiles_census_tract_5yr_2013_a0eee6bf1a', 'obs_d34555209878e8c4b37cf0b2b3d072ff129ec470', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (28, NULL, NULL, 'us.census.tiger.sum_level_false_state_2013_0b919d8984', 'obs_f3f0912fe24bc0c976e837b5a116d0c803cc01ce', '2013', 'BOX(-179.231086 -14.601813,179.859681 71.441059)', NULL, 4);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (29, NULL, NULL, 'us.census.acs.quantiles_zcta5_5yr_2013_dc39ebe0d5', 'obs_a31255ed256a27d69a9ea777621ad218f6f1f030', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (30, NULL, NULL, 'us.census.acs.quantiles_state_5yr_2013_c6cc7dd346', 'obs_90e9293f578fab0bf2dabf5e387a57d9a2739a08', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
INSERT INTO obs_table (cartodb_id, the_geom, the_geom_webmercator, id, tablename, timespan, bounds, description, version) VALUES (31, NULL, NULL, 'us.census.acs.quantiles_county_5yr_2013_5d7844896c', 'obs_98cefd377c2ff17a2d60b9a6fe090af629073ec4', '2009 - 2013', 'BOX(0 0,0 0)', NULL, 5);
CREATE SCHEMA IF NOT EXISTS observatory;
ALTER TABLE obs_table SET SCHEMA observatory;

View File

@@ -22,18 +22,18 @@ CREATE TABLE obs_tag (
--
COPY obs_tag (cartodb_id, the_geom, the_geom_webmercator, id, name, type, description, version) FROM stdin;
1 \N \N "us.census.acs".demographics US American Community Survey Demographics catalog Standard Demographic Data from the US American Community Survey 0
2 \N \N "us.census.segments".families_with_young_children Families with young children (Under 6 years old) segment 0
3 \N \N "us.census.segments".middle_aged_men Middle Aged Men (45 to 64 years old) segment 0
4 \N \N "es.ine".demographics Demographics of Spain catalog Demographics of Spain from the INE Census 0
5 \N \N "tags".transportation Transportation catalog How do people move from place to place? 1
6 \N \N "tags".language Language catalog What languages do people speak? 1
7 \N \N "tags".housing Housing catalog What type of housing exists and how do people live in it? 1
8 \N \N "tags".denominator Denominator catalog Use these to provide a baseline for comparison between different areas. 1
9 \N \N "tags".race_age_gender Race, Age and Gender catalog Basic demographic breakdowns. 1
10 \N \N "tags".boundary Boundaries catalog Use these to provide regions for sound comparison and analysis. 1
11 \N \N "tags".income_education_employment Income, Education and Employment catalog 1
12 \N \N "tags".population Population catalog 1
1 \N \N us.census.acs.demographics US American Community Survey Demographics catalog Standard Demographic Data from the US American Community Survey 0
2 \N \N us.census.segments.families_with_young_children Families with young children (Under 6 years old) segment 0
3 \N \N us.census.segments.middle_aged_men Middle Aged Men (45 to 64 years old) segment 0
4 \N \N es.ine.demographics Demographics of Spain catalog Demographics of Spain from the INE Census 0
5 \N \N tags.transportation Transportation catalog How do people move from place to place? 1
6 \N \N tags.language Language catalog What languages do people speak? 1
7 \N \N tags.housing Housing catalog What type of housing exists and how do people live in it? 1
8 \N \N tags.denominator Denominator catalog Use these to provide a baseline for comparison between different areas. 1
9 \N \N tags.race_age_gender Race, Age and Gender catalog Basic demographic breakdowns. 1
10 \N \N tags.boundary Boundaries catalog Use these to provide regions for sound comparison and analysis. 1
11 \N \N tags.income_education_employment Income, Education and Employment catalog 1
12 \N \N tags.population Population catalog 1
\.
--

View File

@@ -8,7 +8,7 @@
SELECT
cdb_observatory._OBS_GeomTable(
ST_SetSRID(ST_Point(-74.0059, 40.7128), 4326),
'"us.census.tiger".census_tract'
'us.census.tiger.census_tract'
);
-- get null for unknown geometry_id
@@ -16,14 +16,14 @@ SELECT
SELECT
cdb_observatory._OBS_GeomTable(
ST_SetSRID(ST_Point(-74.0059, 40.7128), 4326),
'"us.census.tiger".nonexistant_id' -- not in catalog
'us.census.tiger.nonexistant_id' -- not in catalog
);
-- future test: give back nulls when geometry doesn't intersect
-- SELECT
-- cdb_observatory._OBS_GeomTable(
-- ST_SetSRID(ST_Point(0,0)), -- should give back null since it's in the ocean?
-- '"us.census.tiger".census_tract'
-- 'us.census.tiger.census_tract'
-- );
-- OBS_GetColumnData
@@ -35,8 +35,8 @@ SELECT
WITH result as (
SELECT
array_agg(a) expected from cdb_observatory._OBS_GetColumnData(
'"us.census.tiger".census_tract',
Array['"us.census.tiger".census_tract_geoid', '"us.census.acs".B01001001'],
'us.census.tiger.census_tract',
Array['us.census.tiger.census_tract_geoid', 'us.census.acs.B01001001'],
'2009 - 2013') a
)
select (expected)[1]::text = '{"colname":"geoid","tablename":"obs_d34555209878e8c4b37cf0b2b3d072ff129ec470","aggregate":null,"name":"US Census Tract Geoids","type":"Text","description":""}' as test_get_obs_column_with_geoid_and_census_1,
@@ -48,15 +48,15 @@ from result;
WITH result as (
SELECT
array_agg(a) expected from cdb_observatory._OBS_GetColumnData(
'"us.census.tiger".census_tract',
Array['"us.census.tiger".baloney'],
'us.census.tiger.census_tract',
Array['us.census.tiger.baloney'],
'2009 - 2013') a
)
select expected is null as OBS_GetColumnData_missing_measure
from result;
-- OBS_LookupCensusHuman
-- should give back: {"\"us.census.acs\".B19083001"}
-- should give back: {"us.census.acs.B19083001"}
SELECT
cdb_observatory._OBS_LookupCensusHuman(
Array['gini_index']
@@ -83,9 +83,9 @@ SELECT
SELECT cdb_observatory._OBS_GetRelatedColumn(
Array[
'"es.ine".pop_0_4',
'"us.census.acs".B01001001',
'"us.census.acs".B01001002'
'es.ine.pop_0_4',
'us.census.acs.B01001001',
'us.census.acs.B01001002'
],
'denominator'
);

View File

@@ -57,9 +57,9 @@ WITH result as (
SELECT _OBS_Get::text as expected FROM
cdb_observatory._OBS_Get(
cdb_observatory._TestPoint(),
Array['"us.census.acs".B19083001']::text[],
Array['us.census.acs.B19083001']::text[],
'2009 - 2013',
'"us.census.tiger".block_group'
'us.census.tiger.block_group'
)
) select expected = '{"value":0.3494,"name":"Gini Index","tablename":"obs_3e7cc9cfd403b912c57b42d5f9195af9ce2f3cdb","aggregate":"","type":"Numeric","description":""}'
as OBS_Get_gini_index_at_test_point
@@ -70,9 +70,9 @@ WITH result as (
SELECT count(_OBS_Get) as expected FROM
cdb_observatory._OBS_Get(
ST_SetSRID(ST_Point(0, 0), 4326),
Array['"us.census.acs".B19083001']::text[],
Array['us.census.acs.B19083001']::text[],
'2009 - 2013',
'"us.census.tiger".block_group'
'us.census.tiger.block_group'
)
) select expected = 0 as OBS_Get_gini_index_at_null_island
from result;
@@ -123,21 +123,21 @@ SELECT
SELECT cdb_observatory.OBS_GetSegmentSnapshot(
cdb_observatory._TestPoint(),
'"us.census.tiger".census_tract'
)::text = '{"segment_name":"SS_segment_10_clusters","\"us.census.acs\".B01001001_quantile":"0.234783783783784","\"us.census.acs\".B01001002_quantile":"0.422405405405405","\"us.census.acs\".B01001026_quantile":"0.0987567567567568","\"us.census.acs\".B01002001_quantile":"0.0715","\"us.census.acs\".B03002003_quantile":"0.295310810810811","\"us.census.acs\".B03002004_quantile":"0.407189189189189","\"us.census.acs\".B03002006_quantile":"0.625608108108108","\"us.census.acs\".B03002012_quantile":"0.795202702702703","\"us.census.acs\".B05001006_quantile":"0.703797297297297","\"us.census.acs\".B08006001_quantile":"0.59227027027027","\"us.census.acs\".B08006002_quantile":"0.0180540540540541","\"us.census.acs\".B08006008_quantile":"0.993756756756757","\"us.census.acs\".B08006009_quantile":"0.728162162162162","\"us.census.acs\".B08006011_quantile":"0.995972972972973","\"us.census.acs\".B08006015_quantile":"0.929135135135135","\"us.census.acs\".B08006017_quantile":"0.625432432432432","\"us.census.acs\".B09001001_quantile":"0.0386081081081081","\"us.census.acs\".B11001001_quantile":"0.157121621621622","\"us.census.acs\".B14001001_quantile":"0.241878378378378","\"us.census.acs\".B14001002_quantile":"0.173783783783784","\"us.census.acs\".B14001005_quantile":"0.0380675675675676","\"us.census.acs\".B14001006_quantile":"0.0308108108108108","\"us.census.acs\".B14001007_quantile":"0.0486216216216216","\"us.census.acs\".B14001008_quantile":"0.479743243243243","\"us.census.acs\".B15003001_quantile":"0.297675675675676","\"us.census.acs\".B15003017_quantile":"0.190351351351351","\"us.census.acs\".B15003022_quantile":"0.802513513513514","\"us.census.acs\".B15003023_quantile":"0.757148648648649","\"us.census.acs\".B16001001_quantile":"0.255405405405405","\"us.census.acs\".B16001002_quantile":"0.196094594594595","\"us.census.acs\".B16001003_quantile":"0.816851351351351","\"us.census.acs\".B17001001_quantile":"0.252513513513514","\"us.census.acs\".B17001002_quantile":"0.560054054054054","\"us.census.acs\".B19013001_quantile":"0.777472972972973","\"us.census.acs\".B19083001_quantile":"0.336932432432432","\"us.census.acs\".B19301001_quantile":"0.655378378378378","\"us.census.acs\".B25001001_quantile":"0.141810810810811","\"us.census.acs\".B25002003_quantile":"0.362824324324324","\"us.census.acs\".B25004002_quantile":"0.463837837837838","\"us.census.acs\".B25004004_quantile":"0","\"us.census.acs\".B25058001_quantile":"0.939040540540541","\"us.census.acs\".B25071001_quantile":"0.419445945945946","\"us.census.acs\".B25075001_quantile":"0.0387972972972973","\"us.census.acs\".B25075025_quantile":"0"}' as test_point_segmentation;
'us.census.tiger.census_tract'
)::text = '{"segment_name":"SS_segment_10_clusters","us.census.acs.B01001001_quantile":"0.234783783783784","us.census.acs.B01001002_quantile":"0.422405405405405","us.census.acs.B01001026_quantile":"0.0987567567567568","us.census.acs.B01002001_quantile":"0.0715","us.census.acs.B03002003_quantile":"0.295310810810811","us.census.acs.B03002004_quantile":"0.407189189189189","us.census.acs.B03002006_quantile":"0.625608108108108","us.census.acs.B03002012_quantile":"0.795202702702703","us.census.acs.B05001006_quantile":"0.703797297297297","us.census.acs.B08006001_quantile":"0.59227027027027","us.census.acs.B08006002_quantile":"0.0180540540540541","us.census.acs.B08006008_quantile":"0.993756756756757","us.census.acs.B08006009_quantile":"0.728162162162162","us.census.acs.B08006011_quantile":"0.995972972972973","us.census.acs.B08006015_quantile":"0.929135135135135","us.census.acs.B08006017_quantile":"0.625432432432432","us.census.acs.B09001001_quantile":"0.0386081081081081","us.census.acs.B11001001_quantile":"0.157121621621622","us.census.acs.B14001001_quantile":"0.241878378378378","us.census.acs.B14001002_quantile":"0.173783783783784","us.census.acs.B14001005_quantile":"0.0380675675675676","us.census.acs.B14001006_quantile":"0.0308108108108108","us.census.acs.B14001007_quantile":"0.0486216216216216","us.census.acs.B14001008_quantile":"0.479743243243243","us.census.acs.B15003001_quantile":"0.297675675675676","us.census.acs.B15003017_quantile":"0.190351351351351","us.census.acs.B15003022_quantile":"0.802513513513514","us.census.acs.B15003023_quantile":"0.757148648648649","us.census.acs.B16001001_quantile":"0.255405405405405","us.census.acs.B16001002_quantile":"0.196094594594595","us.census.acs.B16001003_quantile":"0.816851351351351","us.census.acs.B17001001_quantile":"0.252513513513514","us.census.acs.B17001002_quantile":"0.560054054054054","us.census.acs.B19013001_quantile":"0.777472972972973","us.census.acs.B19083001_quantile":"0.336932432432432","us.census.acs.B19301001_quantile":"0.655378378378378","us.census.acs.B25001001_quantile":"0.141810810810811","us.census.acs.B25002003_quantile":"0.362824324324324","us.census.acs.B25004002_quantile":"0.463837837837838","us.census.acs.B25004004_quantile":"0","us.census.acs.B25058001_quantile":"0.939040540540541","us.census.acs.B25071001_quantile":"0.419445945945946","us.census.acs.B25075001_quantile":"0.0387972972972973","us.census.acs.B25075025_quantile":"0"}' as test_point_segmentation;
-- segmentation around null island
SELECT cdb_observatory.OBS_GetSegmentSnapshot(
ST_SetSRID(ST_Point(0, 0), 4326),
'"us.census.tiger".census_tract'
)::text = '{"segment_name":null,"\"us.census.acs\".B01001001_quantile":null,"\"us.census.acs\".B01001002_quantile":null,"\"us.census.acs\".B01001026_quantile":null,"\"us.census.acs\".B01002001_quantile":null,"\"us.census.acs\".B03002003_quantile":null,"\"us.census.acs\".B03002004_quantile":null,"\"us.census.acs\".B03002006_quantile":null,"\"us.census.acs\".B03002012_quantile":null,"\"us.census.acs\".B05001006_quantile":null,"\"us.census.acs\".B08006001_quantile":null,"\"us.census.acs\".B08006002_quantile":null,"\"us.census.acs\".B08006008_quantile":null,"\"us.census.acs\".B08006009_quantile":null,"\"us.census.acs\".B08006011_quantile":null,"\"us.census.acs\".B08006015_quantile":null,"\"us.census.acs\".B08006017_quantile":null,"\"us.census.acs\".B09001001_quantile":null,"\"us.census.acs\".B11001001_quantile":null,"\"us.census.acs\".B14001001_quantile":null,"\"us.census.acs\".B14001002_quantile":null,"\"us.census.acs\".B14001005_quantile":null,"\"us.census.acs\".B14001006_quantile":null,"\"us.census.acs\".B14001007_quantile":null,"\"us.census.acs\".B14001008_quantile":null,"\"us.census.acs\".B15003001_quantile":null,"\"us.census.acs\".B15003017_quantile":null,"\"us.census.acs\".B15003022_quantile":null,"\"us.census.acs\".B15003023_quantile":null,"\"us.census.acs\".B16001001_quantile":null,"\"us.census.acs\".B16001002_quantile":null,"\"us.census.acs\".B16001003_quantile":null,"\"us.census.acs\".B17001001_quantile":null,"\"us.census.acs\".B17001002_quantile":null,"\"us.census.acs\".B19013001_quantile":null,"\"us.census.acs\".B19083001_quantile":null,"\"us.census.acs\".B19301001_quantile":null,"\"us.census.acs\".B25001001_quantile":null,"\"us.census.acs\".B25002003_quantile":null,"\"us.census.acs\".B25004002_quantile":null,"\"us.census.acs\".B25004004_quantile":null,"\"us.census.acs\".B25058001_quantile":null,"\"us.census.acs\".B25071001_quantile":null,"\"us.census.acs\".B25075001_quantile":null,"\"us.census.acs\".B25075025_quantile":null}' as null_island_segmentation;
'us.census.tiger.census_tract'
)::text = '{"segment_name":null,"us.census.acs.B01001001_quantile":null,"us.census.acs.B01001002_quantile":null,"us.census.acs.B01001026_quantile":null,"us.census.acs.B01002001_quantile":null,"us.census.acs.B03002003_quantile":null,"us.census.acs.B03002004_quantile":null,"us.census.acs.B03002006_quantile":null,"us.census.acs.B03002012_quantile":null,"us.census.acs.B05001006_quantile":null,"us.census.acs.B08006001_quantile":null,"us.census.acs.B08006002_quantile":null,"us.census.acs.B08006008_quantile":null,"us.census.acs.B08006009_quantile":null,"us.census.acs.B08006011_quantile":null,"us.census.acs.B08006015_quantile":null,"us.census.acs.B08006017_quantile":null,"us.census.acs.B09001001_quantile":null,"us.census.acs.B11001001_quantile":null,"us.census.acs.B14001001_quantile":null,"us.census.acs.B14001002_quantile":null,"us.census.acs.B14001005_quantile":null,"us.census.acs.B14001006_quantile":null,"us.census.acs.B14001007_quantile":null,"us.census.acs.B14001008_quantile":null,"us.census.acs.B15003001_quantile":null,"us.census.acs.B15003017_quantile":null,"us.census.acs.B15003022_quantile":null,"us.census.acs.B15003023_quantile":null,"us.census.acs.B16001001_quantile":null,"us.census.acs.B16001002_quantile":null,"us.census.acs.B16001003_quantile":null,"us.census.acs.B17001001_quantile":null,"us.census.acs.B17001002_quantile":null,"us.census.acs.B19013001_quantile":null,"us.census.acs.B19083001_quantile":null,"us.census.acs.B19301001_quantile":null,"us.census.acs.B25001001_quantile":null,"us.census.acs.B25002003_quantile":null,"us.census.acs.B25004002_quantile":null,"us.census.acs.B25004004_quantile":null,"us.census.acs.B25058001_quantile":null,"us.census.acs.B25071001_quantile":null,"us.census.acs.B25075001_quantile":null,"us.census.acs.B25075025_quantile":null}' as null_island_segmentation;
WITH result as (
SELECT array_agg(_OBS_GetCategories) as expected FROM
cdb_observatory._OBS_GetCategories(
cdb_observatory._TestPoint(),
Array['"us.census.spielman_singleton_segments".X10'],
'"us.census.tiger".census_tract'
Array['us.census.spielman_singleton_segments.X10'],
'us.census.tiger.census_tract'
)
)
select (expected)[1]::text = '{"category":"Wealthy, urban without Kids","name":"SS_segment_10_clusters","tablename":"obs_65f29658e096ca1485bf683f65fdbc9f05ec3c5d","aggregate":null,"type":"Text","description":"Sociodemographic classes from Spielman and Singleton 2015, 10 clusters"}' as GetCategories_at_test_point_1,
@@ -148,8 +148,8 @@ WITH result as (
SELECT array_agg(_OBS_GetCategories) as expected FROM
cdb_observatory._OBS_GetCategories(
ST_SetSRID(ST_Point(0,0), 4326),
Array['"us.census.spielman_singleton_segments".X10'],
'"us.census.tiger".census_tract'
Array['us.census.spielman_singleton_segments.X10'],
'us.census.tiger.census_tract'
)
)
select expected is null as GetCategories_at_null_island
@@ -159,33 +159,33 @@ WITH result as (
SELECT * FROM
cdb_observatory.OBS_GetMeasure(
cdb_observatory._TestPoint(),
'"us.census.acs".B01001001'
'us.census.acs.B01001001'
);
-- Poly-based OBS_GetMeasure, default normalization (none)
SELECT * FROM
cdb_observatory.OBS_GetMeasure(
cdb_observatory._TestArea(),
'"us.census.acs".B01001001'
'us.census.acs.B01001001'
);
-- Point-based OBS_GetMeasure with denominator normalization
SELECT cdb_observatory.OBS_GetMeasure(
cdb_observatory._TestPoint(),
'"us.census.acs".B01001002', 'denominator');
'us.census.acs.B01001002', 'denominator');
-- Poly-based OBS_GetMeasure with denominator normalization
SELECT cdb_observatory.OBS_GetMeasure(
cdb_observatory._TestArea(),
'"us.census.acs".B01001002', 'denominator');
'us.census.acs.B01001002', 'denominator');
-- Point-based OBS_GetCategory
SELECT cdb_observatory.OBS_GetCategory(
cdb_observatory._TestPoint(), '"us.census.spielman_singleton_segments".X10');
cdb_observatory._TestPoint(), 'us.census.spielman_singleton_segments.X10');
-- Poly-based OBS_GetCategory
SELECT cdb_observatory.OBS_GetCategory(
cdb_observatory._TestArea(), '"us.census.spielman_singleton_segments".X10');
cdb_observatory._TestArea(), 'us.census.spielman_singleton_segments.X10');
-- Point-based OBS_GetPopulation, default normalization (area)
SELECT * FROM

View File

@@ -13,7 +13,7 @@ SELECT
'obs_23da37d4e66e9de2f525572967f8618bde99a8c0') As _OBS_SearchTables_tables_match,
t.timespan = '2013' As _OBS_SearchTables_timespan_matches
FROM cdb_observatory._OBS_SearchTables(
'"us.census.tiger".county',
'us.census.tiger.county',
'2013'
) As t(table_name, timespan);
@@ -21,7 +21,7 @@ FROM cdb_observatory._OBS_SearchTables(
-- should not return tables for year that does not match
SELECT count(*) = 0 As _OBS_SearchTables_timespan_does_not_match
FROM cdb_observatory._OBS_SearchTables(
'"us.census.tiger".county',
'us.census.tiger.county',
'1988' -- year before first tiger data was collected
) As t(table_name, timespan);

View File

@@ -13,34 +13,34 @@
-- timespan implictly null
SELECT cdb_observatory.OBS_GetBoundary(
cdb_observatory._TestPoint(),
'"us.census.tiger".census_tract'
'us.census.tiger.census_tract'
) = :'cartodb_census_tract_geometry' As OBS_GetBoundary_cartodb_census_tract;
-- expect most recent census county boundary (brooklyn) at cartodb nyc
-- timespan implictly null
SELECT cdb_observatory.OBS_GetBoundary(
cdb_observatory._TestPoint(),
'"us.census.tiger".county'
'us.census.tiger.county'
) = :'cartodb_county_geometry' As OBS_GetBoundary_cartodb_county;
-- expect null geometry since boundary_id is null
-- timespan implictly null
SELECT cdb_observatory.OBS_GetBoundary(
cdb_observatory._TestPoint(),
'"us.census.tiger".non_existent'
'us.census.tiger.non_existent'
) IS NULL As OBS_GetBoundary_non_existent_boundary_id;
-- expect null geometry since there are no census tracts at null island
-- timespan implictly null
SELECT cdb_observatory.OBS_GetBoundary(
CDB_LatLng(0, 0),
'"us.census.tiger".census_tract'
'us.census.tiger.census_tract'
) IS NULL As OBS_GetBoundary_null_island_census_tract;
-- expect census tract boundary at cartodb nyc from 2013
SELECT cdb_observatory.OBS_GetBoundary(
cdb_observatory._TestPoint(),
'"us.census.tiger".census_tract',
'us.census.tiger.census_tract',
'2013'
) = :'cartodb_census_tract_geometry' As OBS_GetBoundary_year_census_tract;
@@ -48,7 +48,7 @@ SELECT cdb_observatory.OBS_GetBoundary(
-- look for census tracts a year before census released them
SELECT cdb_observatory.OBS_GetBoundary(
cdb_observatory._TestPoint(),
'"us.census.tiger".census_tract',
'us.census.tiger.census_tract',
'1988'
) IS NULL As OBS_GetBoundary_unlisted_year;
@@ -57,13 +57,13 @@ SELECT cdb_observatory.OBS_GetBoundary(
-- should give back '36047048500', the geoid of cartodb's census tract
SELECT cdb_observatory.OBS_GetBoundaryId(
cdb_observatory._TestPoint(),
'"us.census.tiger".census_tract'
'us.census.tiger.census_tract'
) = '36047048500'::text As OBS_GetBoundaryId_cartodb_census_tract;
-- should give back '36047048500', the geoid of cartodb's census tract
SELECT cdb_observatory.OBS_GetBoundaryId(
cdb_observatory._TestPoint(),
'"us.census.tiger".census_tract',
'us.census.tiger.census_tract',
'2013'
) = '36047048500'::text As OBS_GetBoundaryId_cartodb_census_tract_with_year;
@@ -71,14 +71,14 @@ SELECT cdb_observatory.OBS_GetBoundaryId(
-- Brooklyn, NY)
SELECT cdb_observatory.OBS_GetBoundaryId(
cdb_observatory._TestPoint(),
'"us.census.tiger".county',
'us.census.tiger.county',
'2013'
) = '36047'::text As OBS_GetBoundaryId_cartodb_county_with_year;
-- should give back null since there is not a census tract at null island
SELECT cdb_observatory.OBS_GetBoundaryId(
CDB_LatLng(0, 0),
'"us.census.tiger".census_tract'
'us.census.tiger.census_tract'
) IS NULL As OBS_GetBoundaryId_null_island;
-- OBS_GetBoundaryById
@@ -87,29 +87,29 @@ SELECT cdb_observatory.OBS_GetBoundaryId(
SELECT cdb_observatory.OBS_GetBoundaryById(
'36047',
'"us.census.tiger".county'
'us.census.tiger.county'
) = :'cartodb_county_geometry' As OBS_GetBoundaryById_cartodb_county;
-- Should match output of GetBoundary on similar inputs
SELECT cdb_observatory.OBS_GetBoundaryById(
'36047', -- cartodb's county
'"us.census.tiger".county'
'us.census.tiger.county'
) = cdb_observatory.OBS_GetBoundary(
cdb_observatory._TestPoint(), -- CartoDB's office
'"us.census.tiger".county'
'us.census.tiger.county'
) As OBS_GetBoundaryById_compared_with_obs_GetBoundary;
-- should give null since boundary_id does not match geometry reference id
SELECT cdb_observatory.OBS_GetBoundaryById(
'36047',
'"us.census.tiger".county',
'us.census.tiger.county',
'2013'
) = :'cartodb_county_geometry' OBS_GetBoundaryById_boundary_id_mismatch_geom_id;
-- should give null since boundary_id does not match geometry reference id
SELECT cdb_observatory.OBS_GetBoundaryById(
'36047',
'"us.census.tiger".census_tract'
'us.census.tiger.census_tract'
) IS NULL As OBS_GetBoundaryById_boundary_id_mismatch_geom_id;
-- _OBS_GetBoundariesByGeometry