diff --git a/R/createIndices.R b/R/createIndices.R index 6be16889..a926cdd1 100644 --- a/R/createIndices.R +++ b/R/createIndices.R @@ -14,6 +14,7 @@ createIndices <- function(connectionDetails) { dataSourceTable <- getDataSourceTable(connectionDetails = connectionDetails) + variableSourceTable <- getVariableSourceTable(connectionDetails = connectionDetails) uuids <- dataSourceTable$data_source_uuid geomIndexTable <- getGeomIndexTable(connectionDetails = connectionDetails) attrIndexTable <- getAttrIndexTable(connectionDetails = connectionDetails) @@ -29,19 +30,28 @@ createIndices <- function(connectionDetails) { dataSourceRecord = record) } # IF attr AND not in aidsid check dependency - if (record$has_attributes == 1 & !id %in% attrIndexTable$data_source_id) { + # Removed "& !id %in% attrIndexTable$data_source_id", need to reincorporate at variable_source level + if (record$has_attributes == 1) { ## IF geom dependency AND dependency not in gidsid then create geom index record AND insert into db - if (!is.na(record$geom_dependency_uuid) & - !record$geom_dependency_uuid %in% geomIndexTable$data_source_id & - record$geom_dependency_uuid != record$data_source_uuid) { - geomDependencyDataSourceRecord <- dplyr::filter(dataSourceTable, - data_source_uuid == record$geom_dependency_uuid) - geomIndexTable <- appendGeomIndexRecord(geomIndexTable = geomIndexTable, - dataSourceRecord = geomDependencyDataSourceRecord) + # TODO for every variable_source$data_source_uuid == id + for (vid in variableSourceTable[variableSourceTable$data_source_uuid == id,]$variable_source_id) { + if (!vid %in% attrIndexTable$variable_source_id) { + variableRecord <- variableSourceTable[variableSourceTable$variable_source_id == vid,] + # TODO switch record$geom_dependency_uuid for varRecord$geom_dependency_uuid + if (!is.na(variableRecord$geom_dependency_uuid) & + !variableRecord$geom_dependency_uuid %in% geomIndexTable$data_source_id & + variableRecord$geom_dependency_uuid != variableRecord$data_source_uuid) { + geomDependencyDataSourceRecord <- dplyr::filter(dataSourceTable, + data_source_uuid == variableRecord$geom_dependency_uuid) + geomIndexTable <- appendGeomIndexRecord(geomIndexTable = geomIndexTable, + dataSourceRecord = geomDependencyDataSourceRecord) + } + attrIndexTable <- appendAttrIndexRecord(attrIndexTable = attrIndexTable, + geomIndexTable = geomIndexTable, + dataSourceRecord = record, + variableSourceRecord = variableRecord) + } } - attrIndexTable <- appendAttrIndexRecord(attrIndexTable = attrIndexTable, - geomIndexTable = geomIndexTable, - dataSourceRecord = record) } } @@ -90,7 +100,8 @@ appendGeomIndexRecord <- function(geomIndexTable, dataSourceRecord) { #' @return (data.frame) updated attrIndexTable #' -appendAttrIndexRecord <- function(attrIndexTable, geomIndexTable, dataSourceRecord) { +# TODO incorporate varSourceRecord +appendAttrIndexRecord <- function(attrIndexTable, geomIndexTable, dataSourceRecord, variableSourceRecord) { if (nrow(attrIndexTable) == 0) { attr_index_id <- 1 } else { @@ -98,8 +109,9 @@ appendAttrIndexRecord <- function(attrIndexTable, geomIndexTable, dataSourceReco } indexRecord <- dplyr::tibble( attr_index_id = attr_index_id, + variable_source_id = variableSourceRecord$variable_source_id, attr_of_geom_index_id = getAttrOfGeomIndexId(geomIndexTable = geomIndexTable, - dataSourceUuid = dataSourceRecord$geom_dependency_uuid), + dataSourceUuid = variableSourceRecord$geom_dependency_uuid), database_schema = createSchemaString(dataSourceRecord), table_name = createNameString(name = dataSourceRecord$dataset_name), data_source_id = dataSourceRecord$data_source_uuid) @@ -110,7 +122,7 @@ appendAttrIndexRecord <- function(attrIndexTable, geomIndexTable, dataSourceReco #' Get foreign key for attr_of_geom_index_id #' #' @param geomIndexTable (data.frame) the existing geomIndexTable -#' @param dataSourceUuid (UUID) The UUID for the data source that is registered in the backbone.data_source table +#' @param dataSourceUuid (UUID) The UUID for the geometry data source that is registered in the backbone.data_source table #' #' @return (integer) Identifier for the corresponding backbone.geom_index entry #' diff --git a/R/dbUtils.R b/R/dbUtils.R index 9e5e69e6..25f4ad9d 100644 --- a/R/dbUtils.R +++ b/R/dbUtils.R @@ -39,13 +39,13 @@ getVariableSourceSummaryTable <- function(connectionDetails) { getVariableSourceSummaryQuery <- paste0( "select vs.variable_source_id, ds.data_source_uuid as data_source_id, ", "vs.variable_name, vs.variable_desc, ds.org_id, ds.org_set_id, ds.documentation_url, ", - "ds.dataset_name, ds.dataset_version, ds.boundary_type, ds.geom_dependency_uuid, ", + "ds.dataset_name, ds.dataset_version, ds.boundary_type, vs.geom_dependency_uuid, ", "ds2.dataset_name as geom_dependency_name, ds2.geom_type ", "from backbone.variable_source vs ", "join backbone.data_source ds ", "on vs.data_source_uuid=ds.data_source_uuid ", "join backbone.data_source ds2 ", - "on ds.geom_dependency_uuid = ds2.data_source_uuid") + "on vs.geom_dependency_uuid = ds2.data_source_uuid") summaryTable <- DatabaseConnector::querySql(conn, getVariableSourceSummaryQuery) ids <- loadedVariableSourceRecordIds$VARIABLE_SOURCE_RECORD_ID summaryTable <- dplyr::mutate(summaryTable, @@ -75,17 +75,10 @@ getGeomNameFromVariableSourceId <- function(connectionDetails, variableSourceId) on.exit(DatabaseConnector::disconnect(conn)) DatabaseConnector::dbGetQuery(conn, paste0( "select concat(database_schema, '.geom_', table_name) - from backbone.geom_index gi - where data_source_id in ( - select geom_dependency_uuid - from backbone.data_source ds - where data_source_uuid in ( - select data_source_uuid - from backbone.variable_source vs - where variable_source_id = ", variableSourceId," - ) - )" - ) + from backbone.geom_index gi + inner join backbone.variable_source vs + on vs.geom_dependency_uuid = gi.data_source_id + and vs.variable_source_id = ", variableSourceId) )[[1]] } diff --git a/R/importShapefile.R b/R/importShapefile.R deleted file mode 100644 index 58d5f8cb..00000000 --- a/R/importShapefile.R +++ /dev/null @@ -1,55 +0,0 @@ -#' Import an attribute-geometry pair from PostGIS -#' -#' @param connectionDetails (list) An object of class connectionDetails as created by the createConnectionDetails function -#' @param variableSourceId (integer) The identifier for the variable that is registered in the PostGIS variable_source table -#' -#' @return (sf, data.frame) An sf object consisting of a single attribute and geometry; the result of joining attr_X and geom_X from the PostGIS -#' -#' @examples -#' -#' \dontrun{ -#' shape <- importShapefile(connectionDetails = connectionDetails, variableSourceId = 157) -#' } -#' -#' @export -#' - -importShapefile <- function(connectionDetails, variableSourceId) { - variableSourceRecord <- getVariableSourceRecord(connectionDetails = connectionDetails, - variableSourceId = variableSourceId) - dataSourceRecord <- getDataSourceRecord(connectionDetails = connectionDetails, - dataSourceUuid = variableSourceRecord$data_source_uuid) - attrIndexRecord <- getAttrIndexRecord(connectionDetails = connectionDetails, - dataSourceUuid = variableSourceRecord$data_source_uuid) - geomIndexRecord <- getGeomIndexRecord(connectionDetails = connectionDetails, - dataSourceUuid = dataSourceRecord$geom_dependency_uuid) - attrTableString <- paste0(attrIndexRecord$database_schema, ".\"attr_", attrIndexRecord$table_name, "\"") - geomTableString <- paste0(geomIndexRecord$database_schema, ".\"geom_", geomIndexRecord$table_name, "\"") - variableName <- variableSourceRecord$variable_name - tableExists <- checkTableExists(connectionDetails = connectionDetails, - databaseSchema = attrIndexRecord$database_schema, - tableName = paste0("attr_", attrIndexRecord$table_name)) - - if (!tableExists) { - message("Loading attr table dependency") - loadVariable(connectionDetails = connectionDetails, - variableSourceId = variableSourceId) - } - - variableExists <- checkVariableExists(connectionDetails = connectionDetails, - databaseSchema = attrIndexRecord$database_schema, - tableName = attrIndexRecord$table_name, - variableName = variableName) - - if (!variableExists) { - message("Loading attr table dependency") - loadVariable(connectionDetails = connectionDetails, - variableSourceId = variableSourceId) - } - - - handleShapefileImportJob(connectionDetails = connectionDetails, - attrTableString = attrTableString, - geomTableString = geomTableString, - variableName = variableName) -} diff --git a/R/loadVariable.R b/R/loadVariable.R index 4481943b..714207cc 100644 --- a/R/loadVariable.R +++ b/R/loadVariable.R @@ -46,13 +46,13 @@ loadVariable <- function(connectionDetails, variableSourceId){ return(message("Variable already exists in the database.")) } + geomIndexRecord <- getGeomIndexRecord(connectionDetails = connectionDetails, + dataSourceUuid = variableSourceRecord$geom_dependency_uuid) + # get data_source_record dataSourceRecord <- getDataSourceRecord(connectionDetails = connectionDetails, dataSourceUuid = variableSourceRecord$data_source_uuid) - - geomIndexRecord <- getGeomIndexRecord(connectionDetails = connectionDetails, - dataSourceUuid = dataSourceRecord$geom_dependency_uuid) - + # get stage data staged <- getStaged(dataSourceRecord) @@ -76,7 +76,7 @@ loadVariable <- function(connectionDetails, variableSourceId){ if (!geomTableExists) { message("Loading geom table dependency") loadGeometry(connectionDetails = connectionDetails, - dataSourceUuid = dataSourceRecord$geom_dependency_uuid) + dataSourceUuid = variableSourceRecord$geom_dependency_uuid) } # get mapping values from geom table diff --git a/inst/csv/data_source.csv b/inst/csv/data_source.csv index 815f6d5b..07955d28 100644 --- a/inst/csv/data_source.csv +++ b/inst/csv/data_source.csv @@ -1,252 +1,252 @@ 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paramaters=TRUE)$epsg)""]}",zcta5,0,,file,zip,shp,tl_2016_us_zcta510.shp,https://www2.census.gov/geo/tiger/TIGER2016/ZCTA5/tl_2016_us_zcta510.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10181,Census,TIGER/Line,us-zcta5-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",zcta5,0,,file,zip,shp,tl_2017_us_zcta510.shp,https://www2.census.gov/geo/tiger/TIGER2017/ZCTA5/tl_2017_us_zcta510.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -7778,EPA,AQS,annual_conc_by_monitor_2018,2018,point,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='state_count_site',geom_source_value=paste0(staged$State.Code, '_', staged$County.Code, '_', staged$Site.Num),geom_name=Local.Site.Name,geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=dplyr::left_join(staged['Datum'], tibble(Datum = c('NAD83', 'WGS84'), epsg = c(4326, 4269)))[['epsg']])""]}",,1,7778,file,zip,csv,annual_conc_by_monitor_2018.csv,https://aqs.epa.gov/aqsweb/airdata/annual_conc_by_monitor_2018.zip,,https://www.epa.gov/aqs -10169,Census,TIGER/Line,us-uac-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,,file,zip,shp,tl_2016_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2016/UAC/tl_2016_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10166,Census,TIGER/Line,us-state-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,,file,zip,shp,tl_2016_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2016/STATE/tl_2016_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10167,Census,TIGER/Line,us-tbg-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,,file,zip,shp,tl_2016_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2016/TBG/tl_2016_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10138,Census,TIGER/Line,us-aiannh-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aiannh,0,,file,zip,shp,tl_2014_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2014/AIANNH/tl_2014_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10139,Census,TIGER/Line,us-aitsn-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2014_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2014/AITS/tl_2014_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10140,Census,TIGER/Line,us-cbsa-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,,file,zip,shp,tl_2014_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2014/CBSA/tl_2014_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10141,Census,TIGER/Line,us-csa-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,,file,zip,shp,tl_2014_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2014/CSA/tl_2014_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10142,Census,TIGER/Line,us-county-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,,file,zip,shp,tl_2014_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2014/COUNTY/tl_2014_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10175,Census,TIGER/Line,us-county-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,,file,zip,shp,tl_2017_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2017/COUNTY/tl_2017_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10176,Census,TIGER/Line,us-metdiv-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",metdiv,0,,file,zip,shp,tl_2017_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2017/METDIV/tl_2017_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10177,Census,TIGER/Line,us-state-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,,file,zip,shp,tl_2017_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2017/STATE/tl_2017_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10178,Census,TIGER/Line,us-tbg-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,,file,zip,shp,tl_2017_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2017/TBG/tl_2017_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10179,Census,TIGER/Line,us-ttract-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,,file,zip,shp,tl_2017_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2017/TTRACT/tl_2017_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10180,Census,TIGER/Line,us-uac-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,,file,zip,shp,tl_2017_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2017/UAC/tl_2017_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10183,Census,TIGER/Line,us-aitsn-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2018_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2018/AITSN/tl_2018_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10186,Census,TIGER/Line,us-metdiv-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",metdiv,0,,file,zip,shp,tl_2018_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2018/METDIV/tl_2018_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10187,Census,TIGER/Line,us-state-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,,file,zip,shp,tl_2018_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2018/STATE/tl_2018_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10188,Census,TIGER/Line,us-tbg-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,,file,zip,shp,tl_2018_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2018/TBG/tl_2018_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10189,Census,TIGER/Line,us-ttract-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,,file,zip,shp,tl_2018_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2018/TTRACT/tl_2018_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10192,Census,TIGER/Line,us-aiannh-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aiannh,0,,file,zip,shp,tl_2019_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2019/AIANNH/tl_2019_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10193,Census,TIGER/Line,us-aitsn-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2019_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2019/AITSN/tl_2019_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10194,Census,TIGER/Line,us-cbsa-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,,file,zip,shp,tl_2019_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2019/CBSA/tl_2019_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10195,Census,TIGER/Line,us-csa-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,,file,zip,shp,tl_2019_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2019/CSA/tl_2019_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10198,Census,TIGER/Line,us-state-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,,file,zip,shp,tl_2019_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2019/STATE/tl_2019_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10200,Census,TIGER/Line,us-ttract-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,,file,zip,shp,tl_2019_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2019/TTRACT/tl_2019_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10203,Census,TIGER/Line,us-aiannh-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aiannh,0,,file,zip,shp,tl_2020_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2020/AIANNH/tl_2020_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10204,Census,TIGER/Line,us-aitsn-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2020_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2020/AITSN/tl_2020_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10206,Census,TIGER/Line,us-csa-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,,file,zip,shp,tl_2020_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2020/CSA/tl_2020_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10127,Census,TIGER/Line,us-aiannh-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aiannh,0,,file,zip,shp,tl_2013_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2013/AIANNH/tl_2013_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10128,Census,TIGER/Line,us-aitsn-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2013_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2013/AITS/tl_2013_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10129,Census,TIGER/Line,us-cbsa-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,,file,zip,shp,tl_2013_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2013/CBSA/tl_2013_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10130,Census,TIGER/Line,us-csa-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,,file,zip,shp,tl_2013_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2013/CSA/tl_2013_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10131,Census,TIGER/Line,us-county-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,,file,zip,shp,tl_2013_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2013/COUNTY/tl_2013_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10132,Census,TIGER/Line,us-metdiv-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",metdiv,0,,file,zip,shp,tl_2013_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2013/METDIV/tl_2013_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10133,Census,TIGER/Line,us-state-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,,file,zip,shp,tl_2013_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2013/STATE/tl_2013_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10107,Census,TIGER/Line,us-aiannh-2011,2011,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aiannh,0,,file,zip,shp,tl_2011_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2011/AIANNH/tl_2011_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10119,Census,TIGER/Line,us-csa-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,,file,zip,shp,tl_2012_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2012/CSA/tl_2012_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10120,Census,TIGER/Line,us-county-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,,file,zip,shp,tl_2012_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2012/COUNTY/tl_2012_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10207,Census,TIGER/Line,us-county-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,,file,zip,shp,tl_2020_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2020/COUNTY/tl_2020_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10147,Census,TIGER/Line,us-uac-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,,file,zip,shp,tl_2014_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2014/UAC/tl_2014_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10162,Census,TIGER/Line,us-cbsa-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,,file,zip,shp,tl_2016_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2016/CBSA/tl_2016_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10164,Census,TIGER/Line,us-county-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,,file,zip,shp,tl_2016_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2016/COUNTY/tl_2016_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10165,Census,TIGER/Line,us-metdiv-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",metdiv,0,,file,zip,shp,tl_2016_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2016/METDIV/tl_2016_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10126,Census,TIGER/Line,us-zcta5-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",zcta5,0,,file,zip,shp,tl_2012_us_zcta510.shp,https://www2.census.gov/geo/tiger/TIGER2012/ZCTA5/tl_2012_us_zcta510.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10168,Census,TIGER/Line,us-ttract-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,,file,zip,shp,tl_2016_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2016/TTRACT/tl_2016_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10158,Census,TIGER/Line,us-uac-2015,2015,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,,file,zip,shp,tl_2015_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2015/UAC/tl_2015_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10172,Census,TIGER/Line,us-aitsn-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2017_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2017/AITSN/tl_2017_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10614,CDC/ATSDR,SVI,us-county-2014,2014,,,county,1,10142,file,zip,gdb,SVI2014_US_county.gdb,https://svi.cdc.gov/Documents/Data/2014/db/states_counties/SVI_2014_US_county.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html -10616,CDC/ATSDR,SVI,us-ttract-2014,2014,,,ttract,1,10146,file,zip,gdb,SVI2014_usttract.shp,https://svi.cdc.gov/Documents/Data/2014_SVI_Data/States/Tribal_Tracts.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html -10123,Census,TIGER/Line,us-tbg-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,,file,zip,shp,tl_2012_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2012/TBG/tl_2012_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10124,Census,TIGER/Line,us-ttract-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,,file,zip,shp,tl_2012_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2012/TTRACT/tl_2012_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10155,Census,TIGER/Line,us-state-2015,2015,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,,file,zip,shp,tl_2015_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2015/STATE/tl_2015_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10112,Census,TIGER/Line,us-metdiv-2011,2011,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",metdiv,0,,file,zip,shp,tl_2011_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2011/METDIV/tl_2011_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10146,Census,TIGER/Line,us-ttract-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,,file,zip,shp,tl_2014_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2014/TTRACT/tl_2014_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10184,Census,TIGER/Line,us-cbsa-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,,file,zip,shp,tl_2018_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2018/CBSA/tl_2018_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10114,Census,TIGER/Line,us-tbg-2011,2011,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,,file,zip,shp,tl_2011_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2011/TBG/tl_2011_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10115,Census,TIGER/Line,us-ttract-2011,2011,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,,file,zip,shp,tl_2011_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2011/TTRACT/tl_2011_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10212,Census,TIGER/Line,us-uac-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,,file,zip,shp,tl_2020_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2020/UAC/tl_2020_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10163,Census,TIGER/Line,us-csa-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,,file,zip,shp,tl_2016_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2016/CSA/tl_2016_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10794,CDC/ATSDR,SVI,us-ttract-2018,2018,,,ttract,1,10189,file,zip,gdb,SVI2018_usttract.shp,https://svi.cdc.gov/Documents/Data/2018_SVI_Data/States/Tribal_Tracts.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html -10199,Census,TIGER/Line,us-tbg-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,,file,zip,shp,tl_2019_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2019/TBG/tl_2019_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10125,Census,TIGER/Line,us-uac-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,,file,zip,shp,tl_2012_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2012/UAC/tl_2012_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10190,Census,TIGER/Line,us-uac-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,,file,zip,shp,tl_2018_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2018/UAC/tl_2018_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10135,Census,TIGER/Line,us-ttract-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,,file,zip,shp,tl_2013_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2013/TTRACT/tl_2013_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10174,Census,TIGER/Line,us-csa-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,,file,zip,shp,tl_2017_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2017/CSA/tl_2017_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10721,CDC/ATSDR,SVI,us-county-2016,2016,,,county,1,10164,file,zip,gdb,SVI2016_US_county.gdb,https://svi.cdc.gov/Documents/Data/2016/db/states_counties/SVI_2016_US_county.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html -10723,CDC/ATSDR,SVI,us-ttract-2016,2016,,,ttract,1,10168,file,zip,gdb,SVI2016_usttract.shp,https://svi.cdc.gov/Documents/Data/2016_SVI_Data/States/Tribal_Tracts.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html -10201,Census,TIGER/Line,us-uac-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,,file,zip,shp,tl_2019_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2019/UAC/tl_2019_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10116,Census,TIGER/Line,us-aiannh-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aiannh,0,,file,zip,shp,tl_2012_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2012/AIANNH/tl_2012_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10117,Census,TIGER/Line,us-aitsn-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2012_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2012/AITS/tl_2012_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10118,Census,TIGER/Line,us-cbsa-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,,file,zip,shp,tl_2012_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2012/CBSA/tl_2012_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10211,Census,TIGER/Line,us-ttract-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,,file,zip,shp,tl_2020_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2020/TTRACT/tl_2020_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10208,Census,TIGER/Line,us-metdiv-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",metdiv,0,,file,zip,shp,tl_2020_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2020/METDIV/tl_2020_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10209,Census,TIGER/Line,us-state-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,,file,zip,shp,tl_2020_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2020/STATE/tl_2020_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10210,Census,TIGER/Line,us-tbg-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,,file,zip,shp,tl_2020_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2020/TBG/tl_2020_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10108,Census,TIGER/Line,us-aitsn-2011,2011,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2011_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2011/AITS/tl_2011_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10109,Census,TIGER/Line,us-cbsa-2011,2011,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,,file,zip,shp,tl_2011_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2011/CBSA/tl_2011_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10136,Census,TIGER/Line,us-uac-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,,file,zip,shp,tl_2013_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2013/UAC/tl_2013_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10205,Census,TIGER/Line,us-cbsa-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,,file,zip,shp,tl_2020_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2020/CBSA/tl_2020_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10173,Census,TIGER/Line,us-cbsa-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,,file,zip,shp,tl_2017_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2017/CBSA/tl_2017_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10185,Census,TIGER/Line,us-csa-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,,file,zip,shp,tl_2018_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2018/CSA/tl_2018_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10110,Census,TIGER/Line,us-csa-2011,2011,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,,file,zip,shp,tl_2011_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2011/CSA/tl_2011_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10111,Census,TIGER/Line,us-county-2011,2011,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,,file,zip,shp,tl_2011_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2011/COUNTY/tl_2011_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10197,Census,TIGER/Line,us-metdiv-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",metdiv,0,,file,zip,shp,tl_2019_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2019/METDIV/tl_2019_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10134,Census,TIGER/Line,us-tbg-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,,file,zip,shp,tl_2013_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2013/TBG/tl_2013_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10137,Census,TIGER/Line,us-zcta5-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",zcta5,0,,file,zip,shp,tl_2013_us_zcta510.shp,https://www2.census.gov/geo/tiger/TIGER2013/ZCTA5/tl_2013_us_zcta510.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10145,Census,TIGER/Line,us-tbg-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,,file,zip,shp,tl_2014_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2014/TBG/tl_2014_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10160,Census,TIGER/Line,us-aiannh-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aiannh,0,,file,zip,shp,tl_2016_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2016/AIANNH/tl_2016_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10161,Census,TIGER/Line,us-aitsn-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2016_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2016/AITSN/tl_2016_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10171,Census,TIGER/Line,us-aiannh-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = 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paramaters=TRUE)$epsg)""]}",county,0,file,zip,shp,tl_2015_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2015/COUNTY/tl_2015_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10154,Census,TIGER/Line,us-metdiv-2015,2015,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",metdiv,0,file,zip,shp,tl_2015_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2015/METDIV/tl_2015_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10156,Census,TIGER/Line,us-tbg-2015,2015,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = 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paramaters=TRUE)$epsg)""]}",uac,0,file,zip,shp,tl_2016_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2016/UAC/tl_2016_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10166,Census,TIGER/Line,us-state-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,file,zip,shp,tl_2016_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2016/STATE/tl_2016_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10167,Census,TIGER/Line,us-tbg-2016,2016,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,file,zip,shp,tl_2016_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2016/TBG/tl_2016_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10138,Census,TIGER/Line,us-aiannh-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aiannh,0,file,zip,shp,tl_2014_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2014/AIANNH/tl_2014_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html 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paramaters=TRUE)$epsg)""]}",cbsa,0,file,zip,shp,tl_2014_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2014/CBSA/tl_2014_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10141,Census,TIGER/Line,us-csa-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",csa,0,file,zip,shp,tl_2014_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2014/CSA/tl_2014_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10142,Census,TIGER/Line,us-county-2014,2014,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,file,zip,shp,tl_2014_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2014/COUNTY/tl_2014_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10175,Census,TIGER/Line,us-county-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,file,zip,shp,tl_2017_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2017/COUNTY/tl_2017_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html 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paramaters=TRUE)$epsg)""]}",state,0,file,zip,shp,tl_2017_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2017/STATE/tl_2017_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10178,Census,TIGER/Line,us-tbg-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,file,zip,shp,tl_2017_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2017/TBG/tl_2017_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10179,Census,TIGER/Line,us-ttract-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,file,zip,shp,tl_2017_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2017/TTRACT/tl_2017_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10180,Census,TIGER/Line,us-uac-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,file,zip,shp,tl_2017_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2017/UAC/tl_2017_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html 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paramaters=TRUE)$epsg)""]}",metdiv,0,file,zip,shp,tl_2018_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2018/METDIV/tl_2018_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10187,Census,TIGER/Line,us-state-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,file,zip,shp,tl_2018_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2018/STATE/tl_2018_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10188,Census,TIGER/Line,us-tbg-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",tbg,0,file,zip,shp,tl_2018_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2018/TBG/tl_2018_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10189,Census,TIGER/Line,us-ttract-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,file,zip,shp,tl_2018_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2018/TTRACT/tl_2018_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html 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paramaters=TRUE)$epsg)""]}",tbg,0,file,zip,shp,tl_2011_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2011/TBG/tl_2011_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10115,Census,TIGER/Line,us-ttract-2011,2011,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",ttract,0,file,zip,shp,tl_2011_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2011/TTRACT/tl_2011_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10212,Census,TIGER/Line,us-uac-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' 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paramaters=TRUE)$epsg)""]}",csa,0,file,zip,shp,tl_2017_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2017/CSA/tl_2017_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10721,CDC/ATSDR,SVI,us-county-2016,2016,,,county,1,file,zip,gdb,SVI2016_US_county.gdb,https://svi.cdc.gov/Documents/Data/2016/db/states_counties/SVI_2016_US_county.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html +10723,CDC/ATSDR,SVI,us-ttract-2016,2016,,,ttract,1,file,zip,gdb,SVI2016_usttract.shp,https://svi.cdc.gov/Documents/Data/2016_SVI_Data/States/Tribal_Tracts.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html +10201,Census,TIGER/Line,us-uac-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' %in% colnames(staged)) 'NAME10' else 'NAMELSAD10')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",uac,0,file,zip,shp,tl_2019_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2019/UAC/tl_2019_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10116,Census,TIGER/Line,us-aiannh-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",aiannh,0,file,zip,shp,tl_2012_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2012/AIANNH/tl_2012_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10117,Census,TIGER/Line,us-aitsn-2012,2012,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' 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paramaters=TRUE)$epsg)""]}",metdiv,0,file,zip,shp,tl_2020_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2020/METDIV/tl_2020_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10209,Census,TIGER/Line,us-state-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",state,0,file,zip,shp,tl_2020_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2020/STATE/tl_2020_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10210,Census,TIGER/Line,us-tbg-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = 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paramaters=TRUE)$epsg)""]}",uac,0,file,zip,shp,tl_2013_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2013/UAC/tl_2013_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10205,Census,TIGER/Line,us-cbsa-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",cbsa,0,file,zip,shp,tl_2020_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2020/CBSA/tl_2020_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10173,Census,TIGER/Line,us-cbsa-2017,2017,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% 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paramaters=TRUE)$epsg)""]}",county,0,file,zip,shp,tl_2011_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2011/COUNTY/tl_2011_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10197,Census,TIGER/Line,us-metdiv-2019,2019,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",metdiv,0,file,zip,shp,tl_2019_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2019/METDIV/tl_2019_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10134,Census,TIGER/Line,us-tbg-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = 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+10345,Census,TIGER/Line,32-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_32_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_32_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10346,Census,TIGER/Line,33-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_33_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_33_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10347,Census,TIGER/Line,34-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_34_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_34_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10348,Census,TIGER/Line,35-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_35_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_35_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10349,Census,TIGER/Line,36-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_36_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_36_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10350,Census,TIGER/Line,37-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_37_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_37_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10351,Census,TIGER/Line,38-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_38_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_38_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10352,Census,TIGER/Line,39-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_39_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_39_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10353,Census,TIGER/Line,40-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_40_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_40_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10354,Census,TIGER/Line,41-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_41_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_41_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10355,Census,TIGER/Line,42-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_42_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_42_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10356,Census,TIGER/Line,43-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_43_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_43_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10357,Census,TIGER/Line,44-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_44_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_44_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10358,Census,TIGER/Line,45-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_45_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_45_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10359,Census,TIGER/Line,46-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_46_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_46_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10360,Census,TIGER/Line,47-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_47_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_47_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10361,Census,TIGER/Line,48-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_48_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_48_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10362,Census,TIGER/Line,49-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_49_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_49_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10363,Census,TIGER/Line,50-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_50_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_50_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10364,Census,TIGER/Line,51-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_51_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_51_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10365,Census,TIGER/Line,52-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_52_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_52_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10366,Census,TIGER/Line,53-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_53_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_53_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10367,Census,TIGER/Line,54-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_54_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_54_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10368,Census,TIGER/Line,55-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_55_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_55_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10369,Census,TIGER/Line,56-bg-2021,2021,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",bg,0,file,zip,shp,tl_2021_56_bg.shp,https://www2.census.gov/geo/tiger/TIGER2021/BG/tl_2021_56_bg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html diff --git a/inst/csv/gaia001fieldLevel.csv b/inst/csv/gaia001fieldLevel.csv index 5e702232..8412f635 100644 --- a/inst/csv/gaia001fieldLevel.csv +++ b/inst/csv/gaia001fieldLevel.csv @@ -8,7 +8,6 @@ data_source,geom_type,No,varchar(100),,,No,No,,,,, data_source,geom_spec,No,text,,,No,No,,,,, data_source,boundary_type,No,varchar(100),,,No,No,,,,, data_source,has_attributes,No,int4,,,No,No,,,,, -data_source,geom_dependency_uuid,No,int4,,,No,Yes,data_source,data_source_uuid,,, data_source,download_method,Yes,varchar(100),,,No,No,,,,, data_source,download_subtype,Yes,varchar(100),,,No,No,,,,, data_source,download_data_standard,Yes,varchar(100),,,No,No,,,,, @@ -17,11 +16,13 @@ data_source,download_url,Yes,varchar(100),,,No,No,,,,, data_source,download_auth,No,varchar(100),,,No,No,,,,, data_source,documentation_url,No,varchar(100),,,No,No,,,,, variable_source,variable_source_id,Yes,serial4,,,Yes,No,,,,, +variable_source,geom_dependency_uuid,No,int4,,,No,Yes,data_source,data_source_uuid,,, variable_source,variable_name,Yes,varchar,,,No,No,,,,, variable_source,variable_desc,Yes,text,,,No,No,,,,, variable_source,data_source_uuid,Yes,int4,,,No,Yes,data_source,data_source_uuid,,, variable_source,attr_spec,Yes,text,,,No,No,,,,, attr_index,attr_index_id,Yes,numeric,,,Yes,No,,,,, +attr_index,variable_source_id,Yes,numeric,,,No,Yes,variable_source,variable_source_id,,, attr_index,attr_of_geom_index_id,Yes,numeric,,,No,Yes,geom_index,geom_index_id,,, attr_index,database_schema,Yes,varchar(255),,,No,No,,,,, attr_index,table_name,Yes,varchar(255),,,No,No,,,,, diff --git a/inst/csv/variable_source.csv b/inst/csv/variable_source.csv index 9866ad47..922c3f28 100644 --- a/inst/csv/variable_source.csv +++ b/inst/csv/variable_source.csv @@ -1,189 +1,189 @@ -variable_source_id,variable_name,variable_desc,data_source_uuid,attr_spec -225,F_UNEMP,"Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_UNEMP,attr_source_value='F_UNEMP',value_source_value=F_UNEMP)""]}" -170,MP_POV,Percentage of persons below poverty estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_POV,attr_source_value='MP_POV',value_source_value=MP_POV)""]}" -236,F_THEME3,Sum of flags for Minority Status/Languag e theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_THEME3,attr_source_value='F_THEME3',value_source_value=F_THEME3)""]}" -228,F_THEME1,Sum of flags for Socioeconomic Status theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_THEME1,attr_source_value='F_THEME1',value_source_value=F_THEME1)""]}" -216,EPL_MOBILE,Percentile percentage mobile homes estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_MOBILE,attr_source_value='EPL_MOBILE',value_source_value=EPL_MOBILE)""]}" -206,EPL_AGE17,Percentile percentage of persons aged 17 and younger estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_AGE17,attr_source_value='EPL_AGE17',value_source_value=EPL_AGE17)""]}" -198,MP_GROUPQ,"Percentage of persons in group quarters estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_GROUPQ,attr_source_value='MP_GROUPQ',value_source_value=MP_GROUPQ)""]}" -137,E_HH,"Households estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_HH,attr_source_value='E_HH',value_source_value=E_HH)""]}" -142,M_UNEMP,"Civilian (age 16+) unemployed estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_UNEMP,attr_source_value='M_UNEMP',value_source_value=M_UNEMP)""]}" -219,EPL_GROUPQ,Percentile percentage of persons in group quarters estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_GROUPQ,attr_source_value='EPL_GROUPQ',value_source_value=EPL_GROUPQ)""]}" -201,EPL_PCI,Percentile per capita income estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_PCI,attr_source_value='EPL_PCI',value_source_value=EPL_PCI)""]}" -186,MP_MINRTY,"Percentage minority (all persons except white, non- Hispanic) estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_MINRTY,attr_source_value='MP_MINRTY',value_source_value=MP_MINRTY)""]}" -174,MP_PCI,"Per capita income estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_PCI,attr_source_value='MP_PCI',value_source_value=MP_PCI)""]}" -223,RPL_THEMES,Overall percentile ranking,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEMES,attr_source_value='RPL_THEMES',value_source_value=RPL_THEMES)""]}" -199,EPL_POV,Percentile Percentage of persons below poverty estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_POV,attr_source_value='EPL_POV',value_source_value=EPL_POV)""]}" -192,MP_MOBILE,Percentage of mobile homes estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_MOBILE,attr_source_value='MP_MOBILE',value_source_value=MP_MOBILE)""]}" -132,AREA_SQMI,Tract area in square miles,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=AREA_SQMI,attr_source_value='AREA_SQMI',value_source_value=AREA_SQMI)""]}" -178,MP_AGE65,"Percentage of persons aged 65 and older estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_AGE65,attr_source_value='MP_AGE65',value_source_value=MP_AGE65)""]}" -229,F_AGE65,"Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_AGE65,attr_source_value='F_AGE65',value_source_value=F_AGE65)""]}" -221,RPL_THEME4,Percentile ranking for Housing Type/ Transportation theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEME4,attr_source_value='RPL_THEME4',value_source_value=RPL_THEME4)""]}" -145,E_NOHSDP,"Persons (age 25+) with no high school diploma estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_NOHSDP,attr_source_value='E_NOHSDP',value_source_value=E_NOHSDP)""]}" -231,F_DISABL,"Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_DISABL,attr_source_value='F_DISABL',value_source_value=F_DISABL)""]}" -218,EPL_NOVEH,Percentile percentage households with no vehicle available estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_NOVEH,attr_source_value='EPL_NOVEH',value_source_value=EPL_NOVEH)""]}" -237,F_MUNIT,"Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_MUNIT,attr_source_value='F_MUNIT',value_source_value=F_MUNIT)""]}" -214,RPL_THEME3,Percentile ranking for Minority Status/Languag e theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEME3,attr_source_value='RPL_THEME3',value_source_value=RPL_THEME3)""]}" -222,SPL_THEMES,Sum of series themes,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEMES,attr_source_value='SPL_THEMES',value_source_value=SPL_THEMES)""]}" -160,M_MUNIT,"Housing in structures with 10 or more units estimate MOE, 2014- 2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_MUNIT,attr_source_value='M_MUNIT',value_source_value=M_MUNIT)""]}" -179,EP_AGE17,"Percentage of persons aged 17 and younger estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_AGE17,attr_source_value='EP_AGE17',value_source_value=EP_AGE17)""]}" -155,E_MINRTY,"Minority (all persons except white, non- Hispanic) estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_MINRTY,attr_source_value='E_MINRTY',value_source_value=E_MINRTY)""]}" -146,M_NOHSDP,"Persons (age 25+) with no high school diploma estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_NOHSDP,attr_source_value='M_NOHSDP',value_source_value=M_NOHSDP)""]}" -162,M_MOBILE,"Mobile homes estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_MOBILE,attr_source_value='M_MOBILE',value_source_value=M_MOBILE)""]}" -150,M_AGE17,"Persons aged 17 and younger estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_AGE17,attr_source_value='M_AGE17',value_source_value=M_AGE17)""]}" -243,F_TOTAL,Sum of flags for the four themes,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_TOTAL,attr_source_value='F_TOTAL',value_source_value=F_TOTAL)""]}" -187,EP_LIMENG,"Percentage of persons (age 5+) who speak English ""less than well"" estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_LIMENG,attr_source_value='EP_LIMENG',value_source_value=EP_LIMENG)""]}" -143,E_PCI,"Per capita income estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_PCI,attr_source_value='E_PCI',value_source_value=E_PCI)""]}" -238,F_MOBILE,"Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_MOBILE,attr_source_value='F_MOBILE',value_source_value=F_MOBILE)""]}" -164,M_CROWD,"At household level (occupied housing units), more people than rooms estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_CROWD,attr_source_value='M_CROWD',value_source_value=M_CROWD)""]}" -210,RPL_THEME2,Percentile ranking for Household Composition theme summary,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEME2,attr_source_value='RPL_THEME2',value_source_value=RPL_THEME2)""]}" -196,MP_NOVEH,Percentage of households with no vehicle available estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_NOVEH,attr_source_value='MP_NOVEH',value_source_value=MP_NOVEH)""]}" -158,M_LIMENG,"Persons (age 5+) who speak English ""less than well"" estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_LIMENG,attr_source_value='M_LIMENG',value_source_value=M_LIMENG)""]}" -215,EPL_MUNIT,Percentile percentage housing in structures with 10 or more units estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_MUNIT,attr_source_value='EPL_MUNIT',value_source_value=EPL_MUNIT)""]}" -147,E_AGE65,"Persons aged 65 and older estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_AGE65,attr_source_value='E_AGE65',value_source_value=E_AGE65)""]}" -188,MP_LIMENG,"Percentage of persons (age 5+) who speak English ""less than well"" estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_LIMENG,attr_source_value='MP_LIMENG',value_source_value=MP_LIMENG)""]}" -200,EPL_UNEMP,Percentile Percentage of civilian (age 16+) unemployed estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_UNEMP,attr_source_value='EPL_UNEMP',value_source_value=EPL_UNEMP)""]}" -134,M_TOTPOP,"Population estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_TOTPOP,attr_source_value='M_TOTPOP',value_source_value=M_TOTPOP)""]}" -197,EP_GROUPQ,"Percentage of persons in group quarters estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_GROUPQ,attr_source_value='EP_GROUPQ',value_source_value=EP_GROUPQ)""]}" -152,M_DISABL,"Civilian noninstitutiona lized population with a disability estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_DISABL,attr_source_value='M_DISABL',value_source_value=M_DISABL)""]}" -177,EP_AGE65,"Percentage of persons aged 65 and older estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_AGE65,attr_source_value='EP_AGE65',value_source_value=EP_AGE65)""]}" -194,MP_CROWD,Percentage of occupied housing units with more people than rooms estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_CROWD,attr_source_value='MP_CROWD',value_source_value=MP_CROWD)""]}" -135,E_HU,"Housing units estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_HU,attr_source_value='E_HU',value_source_value=E_HU)""]}" -182,MP_DISABL,"Percentage of civilian noninstitutiona lized population with a disability estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_DISABL,attr_source_value='MP_DISABL',value_source_value=MP_DISABL)""]}" -217,EPL_CROWD,Percentile percentage households with more people than rooms estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_CROWD,attr_source_value='EPL_CROWD',value_source_value=EPL_CROWD)""]}" -144,M_PCI,"Per capita income estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_PCI,attr_source_value='M_PCI',value_source_value=M_PCI)""]}" -230,F_AGE17,"Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_AGE17,attr_source_value='F_AGE17',value_source_value=F_AGE17)""]}" -242,F_THEME4,Sum of flags for Housing Type/ Transportation theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_THEME4,attr_source_value='F_THEME4',value_source_value=F_THEME4)""]}" -248,E_DAYPOP,"Adjunct variable - Estimated daytime population, LandScan 2018",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_DAYPOP,attr_source_value='E_DAYPOP',value_source_value=E_DAYPOP)""]}" -204,RPL_THEME1,Percentile ranking for Socioeconomic theme summary,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEME1,attr_source_value='RPL_THEME1',value_source_value=RPL_THEME1)""]}" -151,E_DISABL,"Civilian noninstitutiona lized population with a disability estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_DISABL,attr_source_value='E_DISABL',value_source_value=E_DISABL)""]}" -161,E_MOBILE,"Mobile homes estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_MOBILE,attr_source_value='E_MOBILE',value_source_value=E_MOBILE)""]}" -166,M_NOVEH,"Households with no vehicle available estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_NOVEH,attr_source_value='M_NOVEH',value_source_value=M_NOVEH)""]}" -163,E_CROWD,"At household level (occupied housing units), more people than rooms estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_CROWD,attr_source_value='E_CROWD',value_source_value=E_CROWD)""]}" -244,E_UNINSUR,"Adjunct variable - Uninsured in the total civilian noninstitutiona lized population estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_UNINSUR,attr_source_value='E_UNINSUR',value_source_value=E_UNINSUR)""]}" -203,SPL_THEME1,Sum of series for Socioeconomic theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEME1,attr_source_value='SPL_THEME1',value_source_value=SPL_THEME1)""]}" -149,E_AGE17,"Persons aged 17 and younger estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_AGE17,attr_source_value='E_AGE17',value_source_value=E_AGE17)""]}" -239,F_CROWD,"Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_CROWD,attr_source_value='F_CROWD',value_source_value=F_CROWD)""]}" -193,EP_CROWD,Percentage of occupied housing units with more people than rooms estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_CROWD,attr_source_value='EP_CROWD',value_source_value=EP_CROWD)""]}" -181,EP_DISABL,"Percentage of civilian noninstitutiona lized population with a disability estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_DISABL,attr_source_value='EP_DISABL',value_source_value=EP_DISABL)""]}" -184,MP_SNGPNT,"Percentage of single parent households with children under 18 estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_SNGPNT,attr_source_value='MP_SNGPNT',value_source_value=MP_SNGPNT)""]}" -247,MP_UNINSUR,"Adjunct variable - Percentage uninsured in the total civilian noninstitutiona lized population estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_UNINSUR,attr_source_value='MP_UNINSUR',value_source_value=MP_UNINSUR)""]}" -185,EP_MINRTY,"Percentage minority (all persons except white, non- Hispanic) estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_MINRTY,attr_source_value='EP_MINRTY',value_source_value=EP_MINRTY)""]}" -245,M_UNINSUR,"Adjunct variable - Uninsured in the total civilian noninstitutiona lized population estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_UNINSUR,attr_source_value='M_UNINSUR',value_source_value=M_UNINSUR)""]}" -173,EP_PCI,"Per capita income estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_PCI,attr_source_value='EP_PCI',value_source_value=EP_PCI)""]}" -157,E_LIMENG,"Persons (age 5+) who speak English ""less than well"" estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_LIMENG,attr_source_value='E_LIMENG',value_source_value=E_LIMENG)""]}" -156,M_MINRTY,"Minority (all persons except white, non- Hispanic) estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_MINRTY,attr_source_value='M_MINRTY',value_source_value=M_MINRTY)""]}" -154,M_SNGPNT,"Single parent household with children under 18 estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_SNGPNT,attr_source_value='M_SNGPNT',value_source_value=M_SNGPNT)""]}" -136,M_HU,"Housing units estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_HU,attr_source_value='M_HU',value_source_value=M_HU)""]}" -211,EPL_MINRTY,"Percentile percentage minority (all persons except white, non- Hispanic) estimate",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_MINRTY,attr_source_value='EPL_MINRTY',value_source_value=EPL_MINRTY)""]}" -172,MP_UNEMP,Unemploymen t Rate estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_UNEMP,attr_source_value='MP_UNEMP',value_source_value=MP_UNEMP)""]}" -171,EP_UNEMP,Unemploymen t Rate estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_UNEMP,attr_source_value='EP_UNEMP',value_source_value=EP_UNEMP)""]}" -208,EPL_SNGPNT,Percentile percentage of single parent households with children under 18 estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_SNGPNT,attr_source_value='EPL_SNGPNT',value_source_value=EPL_SNGPNT)""]}" -139,E_POV,"Persons below poverty estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_POV,attr_source_value='E_POV',value_source_value=E_POV)""]}" -141,E_UNEMP,"Civilian (age 16+) unemployed estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_UNEMP,attr_source_value='E_UNEMP',value_source_value=E_UNEMP)""]}" -226,F_PCI,"Flag - per capita income is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_PCI,attr_source_value='F_PCI',value_source_value=F_PCI)""]}" -246,EP_UNINSUR,"Adjunct variable - Percentage uninsured in the total civilian noninstitutiona lized population estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_UNINSUR,attr_source_value='EP_UNINSUR',value_source_value=EP_UNINSUR)""]}" -148,M_AGE65,"Persons aged 65 and older estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_AGE65,attr_source_value='M_AGE65',value_source_value=M_AGE65)""]}" -165,E_NOVEH,"Households with no vehicle available estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_NOVEH,attr_source_value='E_NOVEH',value_source_value=E_NOVEH)""]}" -140,M_POV,"Persons below poverty estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_POV,attr_source_value='M_POV',value_source_value=M_POV)""]}" -207,EPL_DISABL,Percentile percentage of civilian noninstitutiona lized population with a disability estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_DISABL,attr_source_value='EPL_DISABL',value_source_value=EPL_DISABL)""]}" -224,F_POV,"Flag - the percentage of persons in poverty is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_POV,attr_source_value='F_POV',value_source_value=F_POV)""]}" -205,EPL_AGE65,Percentile percentage of persons aged 65 and older estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_AGE65,attr_source_value='EPL_AGE65',value_source_value=EPL_AGE65)""]}" -169,EP_POV,Percentage of persons below poverty estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_POV,attr_source_value='EP_POV',value_source_value=EP_POV)""]}" -240,F_NOVEH,"Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_NOVEH,attr_source_value='F_NOVEH',value_source_value=F_NOVEH)""]}" -213,SPL_THEME3,Sum of series for Minority Status/Languag e theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEME3,attr_source_value='SPL_THEME3',value_source_value=SPL_THEME3)""]}" -176,MP_NOHSDP,Percentage of persons with no high school diploma (25+) estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_NOHSDP,attr_source_value='MP_NOHSDP',value_source_value=MP_NOHSDP)""]}" -209,SPL_THEME2,Sum of series for Household Composition theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEME2,attr_source_value='SPL_THEME2',value_source_value=SPL_THEME2)""]}" -232,F_SNGPNT,"Flag - the percentage of single parent households is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_SNGPNT,attr_source_value='F_SNGPNT',value_source_value=F_SNGPNT)""]}" -168,M_GROUPQ,"Persons in group quarters estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_GROUPQ,attr_source_value='M_GROUPQ',value_source_value=M_GROUPQ)""]}" -235,F_LIMENG,"Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_LIMENG,attr_source_value='F_LIMENG',value_source_value=F_LIMENG)""]}" -133,E_TOTPOP,"Population estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_TOTPOP,attr_source_value='E_TOTPOP',value_source_value=E_TOTPOP)""]}" -227,F_NOHSDP,"Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_NOHSDP,attr_source_value='F_NOHSDP',value_source_value=F_NOHSDP)""]}" -138,M_HH,"Households estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_HH,attr_source_value='M_HH',value_source_value=M_HH)""]}" -234,F_MINRTY,"Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_MINRTY,attr_source_value='F_MINRTY',value_source_value=F_MINRTY)""]}" -153,E_SNGPNT,"Single parent household with children under 18 estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_SNGPNT,attr_source_value='E_SNGPNT',value_source_value=E_SNGPNT)""]}" -189,EP_MUNIT,Percentage of housing in structures with 10 or more units estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_MUNIT,attr_source_value='EP_MUNIT',value_source_value=EP_MUNIT)""]}" -190,MP_MUNIT,Percentage of housing in structures with 10 or more units estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_MUNIT,attr_source_value='MP_MUNIT',value_source_value=MP_MUNIT)""]}" -183,EP_SNGPNT,"Percentage of single parent households with children under 18 estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_SNGPNT,attr_source_value='EP_SNGPNT',value_source_value=EP_SNGPNT)""]}" -202,EPL_NOHSDP,Percentile Percentage of persons with no high school diploma (age 25+) estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_NOHSDP,attr_source_value='EPL_NOHSDP',value_source_value=EPL_NOHSDP)""]}" -191,EP_MOBILE,Percentage of mobile homes estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_MOBILE,attr_source_value='EP_MOBILE',value_source_value=EP_MOBILE)""]}" -212,EPL_LIMENG,"Percentile percentage of persons (age 5+) who speak English ""less than well"" estimate",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_LIMENG,attr_source_value='EPL_LIMENG',value_source_value=EPL_LIMENG)""]}" -167,E_GROUPQ,"Persons in group quarters estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_GROUPQ,attr_source_value='E_GROUPQ',value_source_value=E_GROUPQ)""]}" -220,SPL_THEME4,Sum of series for Housing Type/ Transportation theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEME4,attr_source_value='SPL_THEME4',value_source_value=SPL_THEME4)""]}" -159,E_MUNIT,"Housing in structures with 10 or more units estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_MUNIT,attr_source_value='E_MUNIT',value_source_value=E_MUNIT)""]}" -195,EP_NOVEH,Percentage of households with no vehicle available estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_NOVEH,attr_source_value='EP_NOVEH',value_source_value=EP_NOVEH)""]}" -180,MP_AGE17,"Percentage of persons aged 17 and younger estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_AGE17,attr_source_value='MP_AGE17',value_source_value=MP_AGE17)""]}" -233,F_THEME2,Sum of flags for Household Composition theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_THEME2,attr_source_value='F_THEME2',value_source_value=F_THEME2)""]}" -175,EP_NOHSDP,Percentage of persons with no high school diploma (age 25+) estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_NOHSDP,attr_source_value='EP_NOHSDP',value_source_value=EP_NOHSDP)""]}" -241,F_GROUPQ,"Flag - the percentage of persons in institutionalize d group quarters is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_GROUPQ,attr_source_value='F_GROUPQ',value_source_value=F_GROUPQ)""]}" -30,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7870,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -29,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7870,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -28,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7869,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -27,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7869,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -26,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7868,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -25,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7868,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -24,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7867,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -23,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7867,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -22,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7866,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -21,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7866,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -20,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7865,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -19,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7865,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -18,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7864,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -17,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7864,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -16,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7863,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -15,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7863,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -14,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7862,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -13,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7862,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -12,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7861,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" -11,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7861,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" -70,NO2,The Air Quality Index for the day for NO2,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -69,NO2,The Air Quality Index for the day for NO2,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -68,NO2,The Air Quality Index for the day for NO2,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -67,NO2,The Air Quality Index for the day for NO2,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -66,NO2,The Air Quality Index for the day for NO2,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -65,NO2,The Air Quality Index for the day for NO2,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -64,NO2,The Air Quality Index for the day for NO2,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -63,NO2,The Air Quality Index for the day for NO2,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -62,NO2,The Air Quality Index for the day for NO2,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -61,NO2,The Air Quality Index for the day for NO2,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" -80,CO,The Air Quality Index for the day for CO,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -79,CO,The Air Quality Index for the day for CO,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -78,CO,The Air Quality Index for the day for CO,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -77,CO,The Air Quality Index for the day for CO,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -76,CO,The Air Quality Index for the day for CO,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -75,CO,The Air Quality Index for the day for CO,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -74,CO,The Air Quality Index for the day for CO,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -73,CO,The Air Quality Index for the day for CO,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -72,CO,The Air Quality Index for the day for CO,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -71,CO,The Air Quality Index for the day for CO,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" -60,Ozone,The Air Quality Index for the day for Ozone,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -59,Ozone,The Air Quality Index for the day for Ozone,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -58,Ozone,The Air Quality Index for the day for Ozone,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -57,Ozone,The Air Quality Index for the day for Ozone,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -56,Ozone,The Air Quality Index for the day for Ozone,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -55,Ozone,The Air Quality Index for the day for Ozone,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -54,Ozone,The Air Quality Index for the day for Ozone,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -53,Ozone,The Air Quality Index for the day for Ozone,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -52,Ozone,The Air Quality Index for the day for Ozone,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -51,Ozone,The Air Quality Index for the day for Ozone,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" -50,PM10,The Air Quality Index for the day for PM10,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -49,PM10,The Air Quality Index for the day for PM10,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -48,PM10,The Air Quality Index for the day for PM10,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -47,PM10,The Air Quality Index for the day for PM10,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -46,PM10,The Air Quality Index for the day for PM10,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -45,PM10,The Air Quality Index for the day for PM10,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -44,PM10,The Air Quality Index for the day for PM10,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -43,PM10,The Air Quality Index for the day for PM10,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -42,PM10,The Air Quality Index for the day for PM10,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -41,PM10,The Air Quality Index for the day for PM10,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" -40,PM2.5,The Air Quality Index for the day for PM2.5,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -39,PM2.5,The Air Quality Index for the day for PM2.5,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -38,PM2.5,The Air Quality Index for the day for PM2.5,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -37,PM2.5,The Air Quality Index for the day for PM2.5,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -36,PM2.5,The Air Quality Index for the day for PM2.5,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -35,PM2.5,The Air Quality Index for the day for PM2.5,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -34,PM2.5,The Air Quality Index for the day for PM2.5,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -33,PM2.5,The Air Quality Index for the day for PM2.5,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -32,PM2.5,The Air Quality Index for the day for PM2.5,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -31,PM2.5,The Air Quality Index for the day for PM2.5,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" -1,EPL_POV,Percentile Percentage of persons below poverty estimate,311,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS, attr_concept_id=2000000001, attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_POV, unit_concept_id=8554, attr_source_value='EPL_POV',value_source_value=EPL_POV)""]}" +variable_source_id,geom_dependency_uuid,variable_name,variable_desc,data_source_uuid,attr_spec +1,911,EPL_POV,Percentile Percentage of persons below poverty estimate,311,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS, attr_concept_id=2000000001, attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_POV, unit_concept_id=8554, attr_source_value='EPL_POV',value_source_value=EPL_POV)""]}" +12,7861,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7861,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +11,7861,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7861,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +14,7862,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7862,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +13,7862,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7862,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +16,7863,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7863,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +15,7863,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7863,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +18,7864,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7864,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +17,7864,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7864,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +20,7865,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7865,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +19,7865,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7865,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +22,7866,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7866,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +21,7866,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7866,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +24,7867,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7867,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +23,7867,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7867,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +26,7868,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7868,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +25,7868,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7868,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +28,7869,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7869,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +27,7869,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7869,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +30,7870,Daily Average Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7870,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`Arithmetic Mean`,attr_source_value='Daily Average Outdoor Temperature',value_source_value=`Arithmetic Mean`)""]}" +29,7870,Daily Maximum Outdoor Temperature,Daily average outdoor temperature measured in degrees fahrenheit,7870,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)),attr_start_date=as.Date(`Date Local`),attr_end_date=as.Date(`Date Local`),value_as_number=`1st Max Value`,attr_source_value='Daily Maximum Outdoor Temperature',value_source_value=`1st Max Value`)""]}" +61,10111,NO2,The Air Quality Index for the day for NO2,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +71,10111,CO,The Air Quality Index for the day for CO,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +51,10111,Ozone,The Air Quality Index for the day for Ozone,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +41,10111,PM10,The Air Quality Index for the day for PM10,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +31,10111,PM2.5,The Air Quality Index for the day for PM2.5,7871,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +62,10120,NO2,The Air Quality Index for the day for NO2,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +72,10120,CO,The Air Quality Index for the day for CO,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +52,10120,Ozone,The Air Quality Index for the day for Ozone,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +42,10120,PM10,The Air Quality Index for the day for PM10,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +32,10120,PM2.5,The Air Quality Index for the day for PM2.5,7872,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +63,10131,NO2,The Air Quality Index for the day for NO2,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +73,10131,CO,The Air Quality Index for the day for CO,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +53,10131,Ozone,The Air Quality Index for the day for Ozone,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +43,10131,PM10,The Air Quality Index for the day for PM10,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +33,10131,PM2.5,The Air Quality Index for the day for PM2.5,7873,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +64,10142,NO2,The Air Quality Index for the day for NO2,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +74,10142,CO,The Air Quality Index for the day for CO,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +54,10142,Ozone,The Air Quality Index for the day for Ozone,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +44,10142,PM10,The Air Quality Index for the day for PM10,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +34,10142,PM2.5,The Air Quality Index for the day for PM2.5,7874,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +65,10153,NO2,The Air Quality Index for the day for NO2,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +75,10153,CO,The Air Quality Index for the day for CO,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +55,10153,Ozone,The Air Quality Index for the day for Ozone,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +45,10153,PM10,The Air Quality Index for the day for PM10,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +35,10153,PM2.5,The Air Quality Index for the day for PM2.5,7875,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +66,10164,NO2,The Air Quality Index for the day for NO2,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +76,10164,CO,The Air Quality Index for the day for CO,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +56,10164,Ozone,The Air Quality Index for the day for Ozone,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +46,10164,PM10,The Air Quality Index for the day for PM10,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +36,10164,PM2.5,The Air Quality Index for the day for PM2.5,7876,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +67,10175,NO2,The Air Quality Index for the day for NO2,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +77,10175,CO,The Air Quality Index for the day for CO,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +57,10175,Ozone,The Air Quality Index for the day for Ozone,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +47,10175,PM10,The Air Quality Index for the day for PM10,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +37,10175,PM2.5,The Air Quality Index for the day for PM2.5,7877,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +68,1234,NO2,The Air Quality Index for the day for NO2,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +78,1234,CO,The Air Quality Index for the day for CO,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +58,1234,Ozone,The Air Quality Index for the day for Ozone,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +48,1234,PM10,The Air Quality Index for the day for PM10,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +38,1234,PM2.5,The Air Quality Index for the day for PM2.5,7878,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +69,10196,NO2,The Air Quality Index for the day for NO2,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +79,10196,CO,The Air Quality Index for the day for CO,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +59,10196,Ozone,The Air Quality Index for the day for Ozone,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +49,10196,PM10,The Air Quality Index for the day for PM10,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +39,10196,PM2.5,The Air Quality Index for the day for PM2.5,7879,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +70,10207,NO2,The Air Quality Index for the day for NO2,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='NO2')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='NO2',value_source_value=AQI)""]}" +80,10207,CO,The Air Quality Index for the day for CO,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='CO')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='CO',value_source_value=AQI)""]}" +60,10207,Ozone,The Air Quality Index for the day for Ozone,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='Ozone')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='Ozone',value_source_value=AQI)""]}" +50,10207,PM10,The Air Quality Index for the day for PM10,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM10')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM10',value_source_value=AQI)""]}" +40,10207,PM2.5,The Air Quality Index for the day for PM2.5,7880,"{""stage_transform"":[""dplyr::filter(staged,`Defining Parameter`=='PM2.5')"",""dplyr::mutate(staged,geom_join_column=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0)),attr_start_date=as.Date(Date),attr_end_date=as.Date(Date),value_as_number=AQI,attr_source_value='PM2.5',value_source_value=AQI)""]}" +225,1234,F_UNEMP,"Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_UNEMP,attr_source_value='F_UNEMP',value_source_value=F_UNEMP)""]}" +170,1234,MP_POV,Percentage of persons below poverty estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_POV,attr_source_value='MP_POV',value_source_value=MP_POV)""]}" +236,1234,F_THEME3,Sum of flags for Minority Status/Languag e theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_THEME3,attr_source_value='F_THEME3',value_source_value=F_THEME3)""]}" +228,1234,F_THEME1,Sum of flags for Socioeconomic Status theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_THEME1,attr_source_value='F_THEME1',value_source_value=F_THEME1)""]}" +216,1234,EPL_MOBILE,Percentile percentage mobile homes estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_MOBILE,attr_source_value='EPL_MOBILE',value_source_value=EPL_MOBILE)""]}" +206,1234,EPL_AGE17,Percentile percentage of persons aged 17 and younger estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_AGE17,attr_source_value='EPL_AGE17',value_source_value=EPL_AGE17)""]}" +198,1234,MP_GROUPQ,"Percentage of persons in group quarters estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_GROUPQ,attr_source_value='MP_GROUPQ',value_source_value=MP_GROUPQ)""]}" +137,1234,E_HH,"Households estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_HH,attr_source_value='E_HH',value_source_value=E_HH)""]}" +142,1234,M_UNEMP,"Civilian (age 16+) unemployed estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_UNEMP,attr_source_value='M_UNEMP',value_source_value=M_UNEMP)""]}" +219,1234,EPL_GROUPQ,Percentile percentage of persons in group quarters estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_GROUPQ,attr_source_value='EPL_GROUPQ',value_source_value=EPL_GROUPQ)""]}" +201,1234,EPL_PCI,Percentile per capita income estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_PCI,attr_source_value='EPL_PCI',value_source_value=EPL_PCI)""]}" +186,1234,MP_MINRTY,"Percentage minority (all persons except white, non- Hispanic) estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_MINRTY,attr_source_value='MP_MINRTY',value_source_value=MP_MINRTY)""]}" +174,1234,MP_PCI,"Per capita income estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_PCI,attr_source_value='MP_PCI',value_source_value=MP_PCI)""]}" +223,1234,RPL_THEMES,Overall percentile ranking,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEMES,attr_source_value='RPL_THEMES',value_source_value=RPL_THEMES)""]}" +199,1234,EPL_POV,Percentile Percentage of persons below poverty estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_POV,attr_source_value='EPL_POV',value_source_value=EPL_POV)""]}" +192,1234,MP_MOBILE,Percentage of mobile homes estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_MOBILE,attr_source_value='MP_MOBILE',value_source_value=MP_MOBILE)""]}" +132,1234,AREA_SQMI,Tract area in square miles,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=AREA_SQMI,attr_source_value='AREA_SQMI',value_source_value=AREA_SQMI)""]}" +178,1234,MP_AGE65,"Percentage of persons aged 65 and older estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_AGE65,attr_source_value='MP_AGE65',value_source_value=MP_AGE65)""]}" +229,1234,F_AGE65,"Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_AGE65,attr_source_value='F_AGE65',value_source_value=F_AGE65)""]}" +221,1234,RPL_THEME4,Percentile ranking for Housing Type/ Transportation theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEME4,attr_source_value='RPL_THEME4',value_source_value=RPL_THEME4)""]}" +145,1234,E_NOHSDP,"Persons (age 25+) with no high school diploma estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_NOHSDP,attr_source_value='E_NOHSDP',value_source_value=E_NOHSDP)""]}" +231,1234,F_DISABL,"Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_DISABL,attr_source_value='F_DISABL',value_source_value=F_DISABL)""]}" +218,1234,EPL_NOVEH,Percentile percentage households with no vehicle available estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_NOVEH,attr_source_value='EPL_NOVEH',value_source_value=EPL_NOVEH)""]}" +237,1234,F_MUNIT,"Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_MUNIT,attr_source_value='F_MUNIT',value_source_value=F_MUNIT)""]}" +214,1234,RPL_THEME3,Percentile ranking for Minority Status/Languag e theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEME3,attr_source_value='RPL_THEME3',value_source_value=RPL_THEME3)""]}" +222,1234,SPL_THEMES,Sum of series themes,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEMES,attr_source_value='SPL_THEMES',value_source_value=SPL_THEMES)""]}" +160,1234,M_MUNIT,"Housing in structures with 10 or more units estimate MOE, 2014- 2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_MUNIT,attr_source_value='M_MUNIT',value_source_value=M_MUNIT)""]}" +179,1234,EP_AGE17,"Percentage of persons aged 17 and younger estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_AGE17,attr_source_value='EP_AGE17',value_source_value=EP_AGE17)""]}" +155,1234,E_MINRTY,"Minority (all persons except white, non- Hispanic) estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_MINRTY,attr_source_value='E_MINRTY',value_source_value=E_MINRTY)""]}" +146,1234,M_NOHSDP,"Persons (age 25+) with no high school diploma estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_NOHSDP,attr_source_value='M_NOHSDP',value_source_value=M_NOHSDP)""]}" +162,1234,M_MOBILE,"Mobile homes estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_MOBILE,attr_source_value='M_MOBILE',value_source_value=M_MOBILE)""]}" +150,1234,M_AGE17,"Persons aged 17 and younger estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_AGE17,attr_source_value='M_AGE17',value_source_value=M_AGE17)""]}" +243,1234,F_TOTAL,Sum of flags for the four themes,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_TOTAL,attr_source_value='F_TOTAL',value_source_value=F_TOTAL)""]}" +187,1234,EP_LIMENG,"Percentage of persons (age 5+) who speak English ""less than well"" estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_LIMENG,attr_source_value='EP_LIMENG',value_source_value=EP_LIMENG)""]}" +143,1234,E_PCI,"Per capita income estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_PCI,attr_source_value='E_PCI',value_source_value=E_PCI)""]}" +238,1234,F_MOBILE,"Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_MOBILE,attr_source_value='F_MOBILE',value_source_value=F_MOBILE)""]}" +164,1234,M_CROWD,"At household level (occupied housing units), more people than rooms estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_CROWD,attr_source_value='M_CROWD',value_source_value=M_CROWD)""]}" +210,1234,RPL_THEME2,Percentile ranking for Household Composition theme summary,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEME2,attr_source_value='RPL_THEME2',value_source_value=RPL_THEME2)""]}" +196,1234,MP_NOVEH,Percentage of households with no vehicle available estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_NOVEH,attr_source_value='MP_NOVEH',value_source_value=MP_NOVEH)""]}" +158,1234,M_LIMENG,"Persons (age 5+) who speak English ""less than well"" estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_LIMENG,attr_source_value='M_LIMENG',value_source_value=M_LIMENG)""]}" +215,1234,EPL_MUNIT,Percentile percentage housing in structures with 10 or more units estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_MUNIT,attr_source_value='EPL_MUNIT',value_source_value=EPL_MUNIT)""]}" +147,1234,E_AGE65,"Persons aged 65 and older estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_AGE65,attr_source_value='E_AGE65',value_source_value=E_AGE65)""]}" +188,1234,MP_LIMENG,"Percentage of persons (age 5+) who speak English ""less than well"" estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_LIMENG,attr_source_value='MP_LIMENG',value_source_value=MP_LIMENG)""]}" +200,1234,EPL_UNEMP,Percentile Percentage of civilian (age 16+) unemployed estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_UNEMP,attr_source_value='EPL_UNEMP',value_source_value=EPL_UNEMP)""]}" +134,1234,M_TOTPOP,"Population estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_TOTPOP,attr_source_value='M_TOTPOP',value_source_value=M_TOTPOP)""]}" +197,1234,EP_GROUPQ,"Percentage of persons in group quarters estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_GROUPQ,attr_source_value='EP_GROUPQ',value_source_value=EP_GROUPQ)""]}" +152,1234,M_DISABL,"Civilian noninstitutiona lized population with a disability estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_DISABL,attr_source_value='M_DISABL',value_source_value=M_DISABL)""]}" +177,1234,EP_AGE65,"Percentage of persons aged 65 and older estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_AGE65,attr_source_value='EP_AGE65',value_source_value=EP_AGE65)""]}" +194,1234,MP_CROWD,Percentage of occupied housing units with more people than rooms estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_CROWD,attr_source_value='MP_CROWD',value_source_value=MP_CROWD)""]}" +135,1234,E_HU,"Housing units estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_HU,attr_source_value='E_HU',value_source_value=E_HU)""]}" +182,1234,MP_DISABL,"Percentage of civilian noninstitutiona lized population with a disability estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_DISABL,attr_source_value='MP_DISABL',value_source_value=MP_DISABL)""]}" +217,1234,EPL_CROWD,Percentile percentage households with more people than rooms estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_CROWD,attr_source_value='EPL_CROWD',value_source_value=EPL_CROWD)""]}" +144,1234,M_PCI,"Per capita income estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_PCI,attr_source_value='M_PCI',value_source_value=M_PCI)""]}" +230,1234,F_AGE17,"Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_AGE17,attr_source_value='F_AGE17',value_source_value=F_AGE17)""]}" +242,1234,F_THEME4,Sum of flags for Housing Type/ Transportation theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_THEME4,attr_source_value='F_THEME4',value_source_value=F_THEME4)""]}" +248,1234,E_DAYPOP,"Adjunct variable - Estimated daytime population, LandScan 2018",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_DAYPOP,attr_source_value='E_DAYPOP',value_source_value=E_DAYPOP)""]}" +204,1234,RPL_THEME1,Percentile ranking for Socioeconomic theme summary,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=RPL_THEME1,attr_source_value='RPL_THEME1',value_source_value=RPL_THEME1)""]}" +151,1234,E_DISABL,"Civilian noninstitutiona lized population with a disability estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_DISABL,attr_source_value='E_DISABL',value_source_value=E_DISABL)""]}" +161,1234,E_MOBILE,"Mobile homes estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_MOBILE,attr_source_value='E_MOBILE',value_source_value=E_MOBILE)""]}" +166,1234,M_NOVEH,"Households with no vehicle available estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_NOVEH,attr_source_value='M_NOVEH',value_source_value=M_NOVEH)""]}" +163,1234,E_CROWD,"At household level (occupied housing units), more people than rooms estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_CROWD,attr_source_value='E_CROWD',value_source_value=E_CROWD)""]}" +244,1234,E_UNINSUR,"Adjunct variable - Uninsured in the total civilian noninstitutiona lized population estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_UNINSUR,attr_source_value='E_UNINSUR',value_source_value=E_UNINSUR)""]}" +203,1234,SPL_THEME1,Sum of series for Socioeconomic theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEME1,attr_source_value='SPL_THEME1',value_source_value=SPL_THEME1)""]}" +149,1234,E_AGE17,"Persons aged 17 and younger estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_AGE17,attr_source_value='E_AGE17',value_source_value=E_AGE17)""]}" +239,1234,F_CROWD,"Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_CROWD,attr_source_value='F_CROWD',value_source_value=F_CROWD)""]}" +193,1234,EP_CROWD,Percentage of occupied housing units with more people than rooms estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_CROWD,attr_source_value='EP_CROWD',value_source_value=EP_CROWD)""]}" +181,1234,EP_DISABL,"Percentage of civilian noninstitutiona lized population with a disability estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_DISABL,attr_source_value='EP_DISABL',value_source_value=EP_DISABL)""]}" +184,1234,MP_SNGPNT,"Percentage of single parent households with children under 18 estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_SNGPNT,attr_source_value='MP_SNGPNT',value_source_value=MP_SNGPNT)""]}" +247,1234,MP_UNINSUR,"Adjunct variable - Percentage uninsured in the total civilian noninstitutiona lized population estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_UNINSUR,attr_source_value='MP_UNINSUR',value_source_value=MP_UNINSUR)""]}" +185,1234,EP_MINRTY,"Percentage minority (all persons except white, non- Hispanic) estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_MINRTY,attr_source_value='EP_MINRTY',value_source_value=EP_MINRTY)""]}" +245,1234,M_UNINSUR,"Adjunct variable - Uninsured in the total civilian noninstitutiona lized population estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_UNINSUR,attr_source_value='M_UNINSUR',value_source_value=M_UNINSUR)""]}" +173,1234,EP_PCI,"Per capita income estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_PCI,attr_source_value='EP_PCI',value_source_value=EP_PCI)""]}" +157,1234,E_LIMENG,"Persons (age 5+) who speak English ""less than well"" estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_LIMENG,attr_source_value='E_LIMENG',value_source_value=E_LIMENG)""]}" +156,1234,M_MINRTY,"Minority (all persons except white, non- Hispanic) estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_MINRTY,attr_source_value='M_MINRTY',value_source_value=M_MINRTY)""]}" +154,1234,M_SNGPNT,"Single parent household with children under 18 estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_SNGPNT,attr_source_value='M_SNGPNT',value_source_value=M_SNGPNT)""]}" +136,1234,M_HU,"Housing units estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_HU,attr_source_value='M_HU',value_source_value=M_HU)""]}" +211,1234,EPL_MINRTY,"Percentile percentage minority (all persons except white, non- Hispanic) estimate",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_MINRTY,attr_source_value='EPL_MINRTY',value_source_value=EPL_MINRTY)""]}" +172,1234,MP_UNEMP,Unemploymen t Rate estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_UNEMP,attr_source_value='MP_UNEMP',value_source_value=MP_UNEMP)""]}" +171,1234,EP_UNEMP,Unemploymen t Rate estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_UNEMP,attr_source_value='EP_UNEMP',value_source_value=EP_UNEMP)""]}" +208,1234,EPL_SNGPNT,Percentile percentage of single parent households with children under 18 estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_SNGPNT,attr_source_value='EPL_SNGPNT',value_source_value=EPL_SNGPNT)""]}" +139,1234,E_POV,"Persons below poverty estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_POV,attr_source_value='E_POV',value_source_value=E_POV)""]}" +141,1234,E_UNEMP,"Civilian (age 16+) unemployed estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_UNEMP,attr_source_value='E_UNEMP',value_source_value=E_UNEMP)""]}" +226,1234,F_PCI,"Flag - per capita income is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_PCI,attr_source_value='F_PCI',value_source_value=F_PCI)""]}" +246,1234,EP_UNINSUR,"Adjunct variable - Percentage uninsured in the total civilian noninstitutiona lized population estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_UNINSUR,attr_source_value='EP_UNINSUR',value_source_value=EP_UNINSUR)""]}" +148,1234,M_AGE65,"Persons aged 65 and older estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_AGE65,attr_source_value='M_AGE65',value_source_value=M_AGE65)""]}" +165,1234,E_NOVEH,"Households with no vehicle available estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_NOVEH,attr_source_value='E_NOVEH',value_source_value=E_NOVEH)""]}" +140,1234,M_POV,"Persons below poverty estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_POV,attr_source_value='M_POV',value_source_value=M_POV)""]}" +207,1234,EPL_DISABL,Percentile percentage of civilian noninstitutiona lized population with a disability estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_DISABL,attr_source_value='EPL_DISABL',value_source_value=EPL_DISABL)""]}" +224,1234,F_POV,"Flag - the percentage of persons in poverty is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_POV,attr_source_value='F_POV',value_source_value=F_POV)""]}" +205,1234,EPL_AGE65,Percentile percentage of persons aged 65 and older estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_AGE65,attr_source_value='EPL_AGE65',value_source_value=EPL_AGE65)""]}" +169,1234,EP_POV,Percentage of persons below poverty estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_POV,attr_source_value='EP_POV',value_source_value=EP_POV)""]}" +240,1234,F_NOVEH,"Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_NOVEH,attr_source_value='F_NOVEH',value_source_value=F_NOVEH)""]}" +213,1234,SPL_THEME3,Sum of series for Minority Status/Languag e theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEME3,attr_source_value='SPL_THEME3',value_source_value=SPL_THEME3)""]}" +176,1234,MP_NOHSDP,Percentage of persons with no high school diploma (25+) estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_NOHSDP,attr_source_value='MP_NOHSDP',value_source_value=MP_NOHSDP)""]}" +209,1234,SPL_THEME2,Sum of series for Household Composition theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEME2,attr_source_value='SPL_THEME2',value_source_value=SPL_THEME2)""]}" +232,1234,F_SNGPNT,"Flag - the percentage of single parent households is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_SNGPNT,attr_source_value='F_SNGPNT',value_source_value=F_SNGPNT)""]}" +168,1234,M_GROUPQ,"Persons in group quarters estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_GROUPQ,attr_source_value='M_GROUPQ',value_source_value=M_GROUPQ)""]}" +235,1234,F_LIMENG,"Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_LIMENG,attr_source_value='F_LIMENG',value_source_value=F_LIMENG)""]}" +133,1234,E_TOTPOP,"Population estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_TOTPOP,attr_source_value='E_TOTPOP',value_source_value=E_TOTPOP)""]}" +227,1234,F_NOHSDP,"Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_NOHSDP,attr_source_value='F_NOHSDP',value_source_value=F_NOHSDP)""]}" +138,1234,M_HH,"Households estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=M_HH,attr_source_value='M_HH',value_source_value=M_HH)""]}" +234,1234,F_MINRTY,"Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_MINRTY,attr_source_value='F_MINRTY',value_source_value=F_MINRTY)""]}" +153,1234,E_SNGPNT,"Single parent household with children under 18 estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_SNGPNT,attr_source_value='E_SNGPNT',value_source_value=E_SNGPNT)""]}" +189,1234,EP_MUNIT,Percentage of housing in structures with 10 or more units estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_MUNIT,attr_source_value='EP_MUNIT',value_source_value=EP_MUNIT)""]}" +190,1234,MP_MUNIT,Percentage of housing in structures with 10 or more units estimate MOE,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_MUNIT,attr_source_value='MP_MUNIT',value_source_value=MP_MUNIT)""]}" +183,1234,EP_SNGPNT,"Percentage of single parent households with children under 18 estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_SNGPNT,attr_source_value='EP_SNGPNT',value_source_value=EP_SNGPNT)""]}" +202,1234,EPL_NOHSDP,Percentile Percentage of persons with no high school diploma (age 25+) estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_NOHSDP,attr_source_value='EPL_NOHSDP',value_source_value=EPL_NOHSDP)""]}" +191,1234,EP_MOBILE,Percentage of mobile homes estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_MOBILE,attr_source_value='EP_MOBILE',value_source_value=EP_MOBILE)""]}" +212,1234,EPL_LIMENG,"Percentile percentage of persons (age 5+) who speak English ""less than well"" estimate",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EPL_LIMENG,attr_source_value='EPL_LIMENG',value_source_value=EPL_LIMENG)""]}" +167,1234,E_GROUPQ,"Persons in group quarters estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_GROUPQ,attr_source_value='E_GROUPQ',value_source_value=E_GROUPQ)""]}" +220,1234,SPL_THEME4,Sum of series for Housing Type/ Transportation theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=SPL_THEME4,attr_source_value='SPL_THEME4',value_source_value=SPL_THEME4)""]}" +159,1234,E_MUNIT,"Housing in structures with 10 or more units estimate, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=E_MUNIT,attr_source_value='E_MUNIT',value_source_value=E_MUNIT)""]}" +195,1234,EP_NOVEH,Percentage of households with no vehicle available estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_NOVEH,attr_source_value='EP_NOVEH',value_source_value=EP_NOVEH)""]}" +180,1234,MP_AGE17,"Percentage of persons aged 17 and younger estimate MOE, 2014-2018 ACS",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=MP_AGE17,attr_source_value='MP_AGE17',value_source_value=MP_AGE17)""]}" +233,1234,F_THEME2,Sum of flags for Household Composition theme,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_THEME2,attr_source_value='F_THEME2',value_source_value=F_THEME2)""]}" +175,1234,EP_NOHSDP,Percentage of persons with no high school diploma (age 25+) estimate,9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=EP_NOHSDP,attr_source_value='EP_NOHSDP',value_source_value=EP_NOHSDP)""]}" +241,1234,F_GROUPQ,"Flag - the percentage of persons in institutionalize d group quarters is in the 90th percentile (1 = yes, 0 = no)",9999,"{""stage_transform"":[""dplyr::mutate(staged,geom_join_column=FIPS,attr_start_date=as.Date('2018-01-01'),attr_end_date=as.Date('2018-12-31'),value_as_number=F_GROUPQ,attr_source_value='F_GROUPQ',value_source_value=F_GROUPQ)""]}" diff --git a/inst/ddl/001/gaiadb_001_constraints.sql b/inst/ddl/001/gaiadb_001_constraints.sql new file mode 100644 index 00000000..6eb123a9 --- /dev/null +++ b/inst/ddl/001/gaiadb_001_constraints.sql @@ -0,0 +1,15 @@ +-- Foreign Key Constraints for gaiaDB version 001 +ALTER TABLE backbone.variable_source ADD CONSTRAINT fpk_variable_source_geom_dependency_uuid FOREIGN KEY (geom_dependency_uuid) REFERENCES backbone.data_source (data_source_uuid); +ALTER TABLE backbone.variable_source ADD CONSTRAINT fpk_variable_source_data_source_uuid FOREIGN KEY (data_source_uuid) REFERENCES backbone.data_source (data_source_uuid); +ALTER TABLE backbone.attr_index ADD CONSTRAINT fpk_attr_index_variable_source_id FOREIGN KEY (variable_source_id) REFERENCES backbone.variable_source (variable_source_id); +ALTER TABLE backbone.attr_index ADD CONSTRAINT fpk_attr_index_attr_of_geom_index_id FOREIGN KEY (attr_of_geom_index_id) REFERENCES backbone.geom_index (geom_index_id); +ALTER TABLE backbone.attr_index ADD CONSTRAINT fpk_attr_index_data_source_id FOREIGN KEY (data_source_id) REFERENCES backbone.data_source (data_source_uuid); +ALTER TABLE backbone.geom_index ADD CONSTRAINT fpk_geom_index_geom_type_concept_id FOREIGN KEY (geom_type_concept_id) REFERENCES backbone.concept (concept_id); +ALTER TABLE backbone.geom_index ADD CONSTRAINT fpk_geom_index_data_source_id FOREIGN KEY (data_source_id) REFERENCES backbone.data_source (data_source_uuid); +ALTER TABLE backbone.attr_template ADD CONSTRAINT fpk_attr_template_geom_record_id FOREIGN KEY (geom_record_id) REFERENCES backbone.geom_template (geom_record_id); +ALTER TABLE backbone.attr_template ADD CONSTRAINT fpk_attr_template_variable_source_record_id FOREIGN KEY (variable_source_record_id) REFERENCES backbone.variable_source (variable_source_id); +ALTER TABLE backbone.attr_template ADD CONSTRAINT fpk_attr_template_attr_concept_id FOREIGN KEY (attr_concept_id) REFERENCES backbone.concept (concept_id); +ALTER TABLE backbone.attr_template ADD CONSTRAINT fpk_attr_template_value_as_concept_id FOREIGN KEY (value_as_concept_id) REFERENCES backbone.concept (concept_id); +ALTER TABLE backbone.attr_template ADD CONSTRAINT fpk_attr_template_unit_concept_id FOREIGN KEY (unit_concept_id) REFERENCES backbone.concept (concept_id); +ALTER TABLE backbone.attr_template ADD CONSTRAINT fpk_attr_template_qualifier_concept_id FOREIGN KEY (qualifier_concept_id) REFERENCES backbone.concept (concept_id); +ALTER TABLE backbone.attr_template ADD CONSTRAINT fpk_attr_template_attr_source_concept_id FOREIGN KEY (attr_source_concept_id) REFERENCES backbone.concept (concept_id); diff --git a/inst/ddl/001/gaiadb_001_ddl.sql b/inst/ddl/001/gaiadb_001_ddl.sql index 40bdae35..75299ca1 100644 --- a/inst/ddl/001/gaiadb_001_ddl.sql +++ b/inst/ddl/001/gaiadb_001_ddl.sql @@ -9,7 +9,6 @@ CREATE TABLE backbone.data_source ( geom_spec text NULL, boundary_type varchar(100) NULL, has_attributes int4 NULL, - geom_dependency_uuid int4 NULL, download_method varchar(100) NOT NULL, download_subtype varchar(100) NOT NULL, download_data_standard varchar(100) NOT NULL, @@ -19,12 +18,14 @@ CREATE TABLE backbone.data_source ( documentation_url varchar(100) NULL ); CREATE TABLE backbone.variable_source ( variable_source_id serial4 NOT NULL, + geom_dependency_uuid int4 NULL, variable_name varchar NOT NULL, variable_desc text NOT NULL, data_source_uuid int4 NOT NULL, attr_spec text NOT NULL ); CREATE TABLE backbone.attr_index ( attr_index_id numeric NOT NULL, + variable_source_id numeric NOT NULL, attr_of_geom_index_id numeric NOT NULL, database_schema varchar(255) NOT NULL, table_name varchar(255) NOT NULL, diff --git a/inst/ddl/001/gaiadb_001_primary_keys.sql b/inst/ddl/001/gaiadb_001_primary_keys.sql new file mode 100644 index 00000000..f26cc043 --- /dev/null +++ b/inst/ddl/001/gaiadb_001_primary_keys.sql @@ -0,0 +1,7 @@ +-- Primary Key Constraints for gaiaDB version 001 +ALTER TABLE backbone.data_source ADD CONSTRAINT xpk_data_source PRIMARY KEY (data_source_uuid); +ALTER TABLE backbone.variable_source ADD CONSTRAINT xpk_variable_source PRIMARY KEY (variable_source_id); +ALTER TABLE backbone.attr_index ADD CONSTRAINT xpk_attr_index PRIMARY KEY (attr_index_id); +ALTER TABLE backbone.geom_index ADD CONSTRAINT xpk_geom_index PRIMARY KEY (geom_index_id); +ALTER TABLE backbone.attr_template ADD CONSTRAINT xpk_attr_template PRIMARY KEY (attr_record_id); +ALTER TABLE backbone.geom_template ADD CONSTRAINT xpk_geom_template PRIMARY KEY (geom_record_id); diff --git a/tests/testthat/test-dbUtils.R b/tests/testthat/test-dbUtils.R index 459f0dfd..4acf57e3 100644 --- a/tests/testthat/test-dbUtils.R +++ b/tests/testthat/test-dbUtils.R @@ -12,6 +12,8 @@ initializeDatabase(testConnectionDetails, testing = T) library(gaiaCore) + +# initializeDatabase() testthat::test_that("database initializes", { conn <- DatabaseConnector::connect(testConnectionDetails) on.exit(DatabaseConnector::disconnect(conn)) @@ -32,6 +34,7 @@ testthat::test_that("database initializes", { testthat::expect_equal(actual_variable_source_rows, expected_variable_source_rows) }) +# createIndices() testthat::test_that("data_sources are indexed", { conn <- DatabaseConnector::connect(testConnectionDetails) on.exit(DatabaseConnector::disconnect(conn)) diff --git a/update_gaia_ddl.R b/update_gaia_ddl.R new file mode 100644 index 00000000..5177d471 --- /dev/null +++ b/update_gaia_ddl.R @@ -0,0 +1,3 @@ +writeDdl("001") +writePrimaryKeys("001") +writeForeignKeys("001") \ No newline at end of file