From 52d756a625d5cdc54862dfa62f011ce50c86d01d Mon Sep 17 00:00:00 2001 From: Tim Norris Date: Mon, 18 Sep 2023 12:52:09 -0400 Subject: [PATCH 1/8] repository start --- inst/{docker => gaiadb}/Dockerfile | 0 inst/{docker => gaiadb}/docker-compose.yml | 0 inst/{docker => gaiadb}/initdb-gis.sh | 0 inst/repository/docker-compose.yml | 21 +++ inst/repository/searchApp/Dockerfile | 14 ++ inst/repository/searchApp/ohdsi.py | 86 ++++++++++ inst/repository/searchApp/requirements.txt | 3 + inst/repository/searchApp/templates/base.html | 29 ++++ .../searchApp/templates/detail.html | 160 ++++++++++++++++++ .../repository/searchApp/templates/index.html | 119 +++++++++++++ inst/repository/solr/Dockerfile | 8 + inst/repository/solr/ohdsi-init-solr.sh | 3 + 12 files changed, 443 insertions(+) rename inst/{docker => gaiadb}/Dockerfile (100%) rename inst/{docker => gaiadb}/docker-compose.yml (100%) rename inst/{docker => gaiadb}/initdb-gis.sh (100%) create mode 100644 inst/repository/docker-compose.yml create mode 100644 inst/repository/searchApp/Dockerfile create mode 100644 inst/repository/searchApp/ohdsi.py create mode 100644 inst/repository/searchApp/requirements.txt create mode 100644 inst/repository/searchApp/templates/base.html create mode 100644 inst/repository/searchApp/templates/detail.html create mode 100644 inst/repository/searchApp/templates/index.html create mode 100644 inst/repository/solr/Dockerfile create mode 100644 inst/repository/solr/ohdsi-init-solr.sh diff --git a/inst/docker/Dockerfile b/inst/gaiadb/Dockerfile similarity index 100% rename from inst/docker/Dockerfile rename to inst/gaiadb/Dockerfile diff --git a/inst/docker/docker-compose.yml b/inst/gaiadb/docker-compose.yml similarity index 100% rename from inst/docker/docker-compose.yml rename to inst/gaiadb/docker-compose.yml diff --git a/inst/docker/initdb-gis.sh b/inst/gaiadb/initdb-gis.sh similarity index 100% rename from inst/docker/initdb-gis.sh rename to inst/gaiadb/initdb-gis.sh diff --git a/inst/repository/docker-compose.yml b/inst/repository/docker-compose.yml new file mode 100644 index 00000000..76e23bdf --- /dev/null +++ b/inst/repository/docker-compose.yml @@ -0,0 +1,21 @@ +version: "3.9" + +services: + ohdsi: + container_name: gis_repo + build: ./searchApp/ + image: ohdsi_repo + ports: + - "5000:5000" + links: + - "solr:index" + solr: + container_name: solr + image: solr + volumes: + - ./collections:/collections + - solr-data:/var/solr + +volumes: + solr-data: + name: ohdsi-solr-index \ No newline at end of file diff --git a/inst/repository/searchApp/Dockerfile b/inst/repository/searchApp/Dockerfile new file mode 100644 index 00000000..9c6732f3 --- /dev/null +++ b/inst/repository/searchApp/Dockerfile @@ -0,0 +1,14 @@ +# Start from an official Python base image. +FROM python:3.9.16-alpine3.17 + +# Set the current working directory to /ohdsi. +WORKDIR /ohdsi + +# set up the python environment +COPY ./requirements.txt ./ +RUN pip install --no-cache-dir --upgrade -r requirements.txt + +# copy the app and start it running +COPY ./ ./ +CMD ["nohup", "python", "./ohdsi.py", "&"] +# CMD ["uvicorn", "ohdsi:app", "--host", "0.0.0.0", "--port", "5000"] \ No newline at end of file diff --git a/inst/repository/searchApp/ohdsi.py b/inst/repository/searchApp/ohdsi.py new file mode 100644 index 00000000..deedc144 --- /dev/null +++ b/inst/repository/searchApp/ohdsi.py @@ -0,0 +1,86 @@ +from flask import Flask, render_template, request +from urllib.request import urlopen +from urllib.parse import urlencode +import simplejson +import logging + +app = Flask(__name__) +log = logging.getLogger('werkzeug') +log.disabled = True + +BASE_PATH='http://solr:8983/solr/ohdsi-dcat/select?wt=json&' + +@app.route('/', methods=["GET","POST"]) +def index(): + collection = 'all' + query, active = None, None + query_parameters = {"q": "gdsc_collections:*"} + q, qf = "", "gdsc_collections " + numresults = 1 + results = [] + + # get the search term if entered, and attempt + # to gather results to be displayed + if request.method == "POST": + query = request.form["searchTerm"] + collection = request.form["collection"] + if 'active' in request.form: + active = request.form["active"] + + #print ('collection:', collection) + #print ('query:', query) + #print ('active:', active) + + q = collection + if collection == 'all' or collection == '*': + collection = '*' + q = "" + query_parameters = {"q": "gdsc_collections:*" + collection} + if query is not None and query != "": + qf += "dct_title dct_keywords dct_description gdsc_attributes" + if len(q) > 0: q += " " + q += query + if active is not None: + if qf != "gdsc_collections ": qf += " " + qf += "gdsc_up" + if len(q) > 0: q += " " + q += "true" + if qf != "gdsc_collections ": + query_parameters = { + "q.op": "AND", + "defType": "dismax", + "qf": qf, + "q": q + } + + # query for information and return results + query_string = urlencode(query_parameters) + #print(query_string) + while numresults > len(results): + connection = urlopen("{}{}".format(BASE_PATH, query_string)) + response = simplejson.load(connection) + numresults = response['response']['numFound'] + results = response['response']['docs'] + query_parameters["rows"] = numresults + query_string = urlencode(query_parameters) + #print('loop:',query_string) + + if results == None: results=[] + return render_template('index.html', collection=collection, query=query, active=active, numresults=numresults, results=results) + +@app.route('/detail/', methods=["GET","POST"]) +def detail(name_id): + + query_parameters = {"q": "gdsc_tablename:" + name_id} + query_string = urlencode(query_parameters) + connection = urlopen("{}{}".format(BASE_PATH, query_string)) + response = simplejson.load(connection) + document = response['response']['docs'][0] + if 'gdsc_attributes' in document: + document['gdsc_columns'] = [attr.split(';')[0] for attr in document['gdsc_attributes']] + document['gdsc_attributes'] = [attr.split(';') for attr in document['gdsc_attributes']] + + return render_template('detail.html', name_id=name_id, document=document, referrer=request.args) + +if __name__ == '__main__': + app.run(host='0.0.0.0',debug=True,use_reloader=True)/gdsc \ No newline at end of file diff --git a/inst/repository/searchApp/requirements.txt b/inst/repository/searchApp/requirements.txt new file mode 100644 index 00000000..f498afeb --- /dev/null +++ b/inst/repository/searchApp/requirements.txt @@ -0,0 +1,3 @@ +flask>=2.2.1 +simplejson>3.18.0 +gunicorn>=20.1.0 \ No newline at end of file diff --git a/inst/repository/searchApp/templates/base.html b/inst/repository/searchApp/templates/base.html new file mode 100644 index 00000000..a04ec028 --- /dev/null +++ b/inst/repository/searchApp/templates/base.html @@ -0,0 +1,29 @@ + + + + {% block head %} + + + + + {% block title %}{% endblock %} + {% endblock %} + + +
+

UM Geospatial Digital Special Collections

 +
+
+ {% block content %} + {% endblock %} +
+
+ {% block footer %} +
+ + + {% endblock %} +
+ + \ No newline at end of file diff --git a/inst/repository/searchApp/templates/detail.html b/inst/repository/searchApp/templates/detail.html new file mode 100644 index 00000000..be01fe7c --- /dev/null +++ b/inst/repository/searchApp/templates/detail.html @@ -0,0 +1,160 @@ +{% extends 'base.html' %} +{% block title %}{{ name_id }}{% endblock %} +{% block head %} + {{ super() }} + +{% endblock %} + +{% block content %} +
+
+
+ + + +
+ gdsc >  + search +
+
+
+

{% if document['dct_title'] %}{{ document['dct_title'][0] }}{% endif %}

+
+
+ {% if document['gdsc_collections'] and document['gdsc_collections']|length > 0 %} + Collections: + {% for collection in document['gdsc_collections'] %}{{ collection }}{{ " | " if not loop.last else "" }}{% endfor %} + + {% endif %} +
+
+
+
+
+
+
+ Citation: + {% if document['dct_creator'] %}{{ document['dct_creator'][0] }}{% endif %} + ({% if document['dct_issued'] %}{{ document['dct_issued'][0][:4] }}{% endif %}). + {% if document['dct_title'] %}{{ document['dct_title'][0] }}{% endif %} [gis dataset]. + {% if document['dct_publisher'] %}{{ document['dct_publisher'][0] }}{% endif %}. + {% if document['dct_identifier'] %}{{ document['dct_identifier'][0] }}.{% endif %} + {% if document['dct_modified'] %} last updated: {{ document['dct_modified'][0][:10] }}{% endif %} + {% if document['dcat_downloadURL'] %} from {{ document['dcat_downloadURL'][0] }}{% endif %} + {% if document['dct_accrualPeriodicity'] %} (update frequency: {{ document['dct_accrualPeriodicity'][0] }}){% endif %}. + {% if document['dct_description'] %} + Abstract: {{ document['dct_description'][0] }} + {% endif %} + {% if document['dcat_keyword'] and document['dcat_keyword']|length > 0 %} + key words: + {# {% for keyword in document['dcat_keyword'] %}{{ keyword }}{{ ", " if not loop.last else "" }}{% endfor %} #} + {{ ", ".join(document['dcat_keyword']) }} + + {% endif %} +
+
+ {% if document['gdsc_sponsor'] %} + Sponsors:
+ {% for sponsor in document['gdsc_sponsor'] %} + + {% endfor %} + {% endif %} +
+
+
+ {% if document['gdsc_attributes'] and document['gdsc_attributes']|length > 0 %} +
+
+
+ +
+
+
+
+
+
Name
+
Description
+
Type
+
Units
+
+ {% for attr in document['gdsc_attributes'] %} +
+
{{ attr[0] }}
+
{{ attr[1] }}
+
{{ attr[3] }}
+
{{ attr[4] }}
+
+ {% endfor %} +
+
+
+
+
+ {% endif %} + + Open Geospatial Consortium Standards: + {% if "Raster" not in document['dct_type'][0] %} + vector tiles + {% endif %} + | WMS (coming soon) | WFS (coming soon) + + {% if document['gdsc_arcgisSD'] %} + + ESRI Standards: + ArcGIS MapServer | + ArcGIS FeatureServer | + Open in ArcGIS Portal for GDSC + + {% endif %} + {% if document['gdsc_functions'] and document['gdsc_functions']|length > 0 %} + + Analytical Functions: + {% for function in document['gdsc_functions'] %} + {% if function == "gdsc_get_attributes" %} + gdsc_get_attributes(tablename={{ document['gdsc_tablename'][0] }},lat=25.718,lng=-80.279,identifier={{ document['gdsc_label'][0] }},attrs=[{{ ','.join(document['gdsc_columns']) }}],normal='') + {% endif %} + {% if function == "gdsc_nearest_neighbor" %} + gdsc_nearest_neighbor(table={{ document['gdsc_tablename'][0] }},lat=25.718,lng=-80.279,id={{ document['gdsc_label'][0] }}) + {% endif %} + {% if function == "gdsc_count_within" %} + gdsc_count_within(table={{ document['gdsc_tablename'][0] }},lat=25.718,lng=-80.279,radius=5280) + {% endif %} + {% if function == "gdsc_zonal_statistics" %} + gdsc_zonal_statistics(table={{ document['gdsc_tablename'][0] }},lat=25.718,lng=-80.279,radius=500) + {% endif %} + {% endfor %} + + {% endif %} + {% if document['prov_action'] %} + + + + + {% endif %} +
+
+
+{% endblock %} \ No newline at end of file diff --git a/inst/repository/searchApp/templates/index.html b/inst/repository/searchApp/templates/index.html new file mode 100644 index 00000000..5b8f1833 --- /dev/null +++ b/inst/repository/searchApp/templates/index.html @@ -0,0 +1,119 @@ +{% extends 'base.html' %} +{% block title %}GDSC{% endblock %} +{% block head %} + {{ super() }} + +{% endblock %} + +{% block content %} +

+ The University of Miami Geospatial Data Special Collections (GDSC) is a joint initiative between the Institute for Data Science and Computing (IDSC) and the University of Miami Libraries to make geographic data at the University of Miami more discoverable, accessible, and interoperable. To do this GDSC provides a non-proprietary platform to dynamically discover, publish, and/or consume geographic data as a service. The geographic data available through GDSC is a highly curated set of collections--or special collections--of geographic data with coverage in south Florida and the Global South of the western hemisphere. +

+
+
+
+
+
Collection:
+
+ +
+
+
+ + +
+
+ +
+ +
+
+
+
+ {% if results and results|length > 0 %} +
+
Results (n={{ numresults }}):
+
+ {% for document in results %} +
+
+

{% if document['dct_title'] %}{{ document['dct_title'][0] }}{% endif %}

+
+
+ {% if document['gdsc_collections'] and document['gdsc_collections']|length > 0 %} + Collections: + {% for collection in document['gdsc_collections'] %}{{ collection }}{{ " | " if not loop.last else "" }}{% endfor %} + + {% endif %} +
+
+
+
+
+
+
+ Citation: + {% if document['dct_creator'] %}{{ document['dct_creator'][0] }}{% endif %} + {% if document['dct_issued'] %}({{ document['dct_issued'][0][:4] }}){% endif %}. + {% if document['dct_title'] %}{{ document['dct_title'][0] }}{% endif %} [gis dataset]. + {% if document['dct_publisher'] %}{{ document['dct_publisher'][0] }}{% endif %}. + {% if document['dct_identifier'] %}{{ document['dct_identifier'][0] }}.{% endif %} + {% if document['dct_modified'] %} last updated: {{ document['dct_modified'][0][:10] }}{% endif %} + {% if document['dcat_downloadURL'] %} from {{ document['dcat_downloadURL'][0] }}{% endif %} + {% if document['dct_accrualPeriodicity'] %} (update frequency: {{ document['dct_accrualPeriodicity'][0] }}){% endif %}. + {% if document['dct_description'] %} + Abstract: {{ document['dct_description'][0] }} + {% endif %} + {% if document['dcat_keyword'] and document['dcat_keyword']|length > 0 %} + key words: + {# {% for keyword in document['dcat_keyword'] %}{{ keyword }}{{ ", " if not loop.last else "" }}{% endfor %} #} + {{ ", ".join(document['dcat_keyword']) }} + + {% endif %} +
+
+ {% if document['gdsc_sponsor'] %} + Sponsors:
+ {% for sponsor in document['gdsc_sponsor'] %} + + {% endfor %} + {% endif %} +
+
+
+
+
+ {% endfor %} + {% endif %} +
+ +{% endblock %} \ No newline at end of file diff --git a/inst/repository/solr/Dockerfile b/inst/repository/solr/Dockerfile new file mode 100644 index 00000000..59042c88 --- /dev/null +++ b/inst/repository/solr/Dockerfile @@ -0,0 +1,8 @@ +# Start from an official Python base image. +FROM solr + +# copy the init script +COPY ./ohdsi-init-solr.sh /opt/solr-9.3.0/docker/scripts/ohdsi-init-solr.sh + +# run init script +ENTRYPOINT ['/opt/solr-9.3.0/docker/scripts/ohdsi-init-solr.sh'] \ No newline at end of file diff --git a/inst/repository/solr/ohdsi-init-solr.sh b/inst/repository/solr/ohdsi-init-solr.sh new file mode 100644 index 00000000..8dd6135e --- /dev/null +++ b/inst/repository/solr/ohdsi-init-solr.sh @@ -0,0 +1,3 @@ +#!/bin/bash + +solr create -c ohdsi-gis \ No newline at end of file From 76fe69bbcb7835469d6245f38a5fb084274a3cfe Mon Sep 17 00:00:00 2001 From: Timothy Norris Date: Tue, 19 Sep 2023 23:03:22 -0400 Subject: [PATCH 2/8] search engine begin and CDC source update --- .gitignore | 1 + R/stageData.R | 4 +- inst/csv/data_source.csv | 276 +++++++++++++++++------------------ inst/csv/variable_source.csv | 238 +++++++++++++++--------------- inst/gaiadb/initdb-gis.sh | 4 +- 5 files changed, 263 insertions(+), 260 deletions(-) diff --git a/.gitignore b/.gitignore index c30cdd08..a63b56e3 100644 --- a/.gitignore +++ b/.gitignore @@ -5,3 +5,4 @@ .DS_Store inst/doc errorReportSql.txt +examples/ \ No newline at end of file diff --git a/R/stageData.R b/R/stageData.R index dae4cea9..1b254d4f 100644 --- a/R/stageData.R +++ b/R/stageData.R @@ -53,11 +53,13 @@ getStaged <- function(rec) { message("Skipping download (zip file located on disk) ...") } utils::unzip(tempzip, exdir = gisTempdir) - if (rec$download_data_standard == 'shp') { + if (rec$download_data_standard %in% list('shp','gdb')) { return(sf::st_read(file.path(gisTempdir, rec$download_filename))) } else if (rec$download_data_standard == 'csv') { return(utils::read.csv(file = file.path(gisTempdir, rec$download_filename), check.names = FALSE)) + } else { + message(paste0("no import handler for",rec$download_data_standard)) } } } diff --git a/inst/csv/data_source.csv b/inst/csv/data_source.csv index 08fef93f..7680ecaf 100644 --- a/inst/csv/data_source.csv +++ b/inst/csv/data_source.csv @@ -1,140 +1,140 @@ -"data_source_uuid","org_id","org_set_id","dataset_name","dataset_version","geom_type","geom_spec","boundary_type","has_attributes","geom_dependency_uuid","download_method","download_subtype","download_data_standard","download_filename","download_url","download_auth","documentation_url" -7880,EPA,AQS,daily_aqi_by_county_2020,"2020",,,county,1,10207,file,zip,csv,daily_aqi_by_county_2020.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2020.zip,,https://www.epa.gov/aqs -7879,EPA,AQS,daily_aqi_by_county_2019,"2019",,,county,1,10196,file,zip,csv,daily_aqi_by_county_2019.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2019.zip,,https://www.epa.gov/aqs -7877,EPA,AQS,daily_aqi_by_county_2017,"2017",,,county,1,10175,file,zip,csv,daily_aqi_by_county_2017.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2017.zip,,https://www.epa.gov/aqs -7876,EPA,AQS,daily_aqi_by_county_2016,"2016",,,county,1,10164,file,zip,csv,daily_aqi_by_county_2016.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2016.zip,,https://www.epa.gov/aqs -7875,EPA,AQS,daily_aqi_by_county_2015,"2015",,,county,1,10153,file,zip,csv,daily_aqi_by_county_2015.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2015.zip,,https://www.epa.gov/aqs -7874,EPA,AQS,daily_aqi_by_county_2014,"2014",,,county,1,10142,file,zip,csv,daily_aqi_by_county_2014.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2014.zip,,https://www.epa.gov/aqs -7873,EPA,AQS,daily_aqi_by_county_2013,"2013",,,county,1,10131,file,zip,csv,daily_aqi_by_county_2013.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2013.zip,,https://www.epa.gov/aqs -7872,EPA,AQS,daily_aqi_by_county_2012,"2012",,,county,1,10120,file,zip,csv,daily_aqi_by_county_2012.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2012.zip,,https://www.epa.gov/aqs -7871,EPA,AQS,daily_aqi_by_county_2011,"2011",,,county,1,10111,file,zip,csv,daily_aqi_by_county_2011.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2011.zip,,https://www.epa.gov/aqs -8888,EPA,AQS,annual_conc_by_cbsa_2018,"2018",,,cbsa,1,10184,file,zip,csv,annual_aqi_by_cbsa_2018.csv,https://aqs.epa.gov/aqsweb/airdata/annual_aqi_by_cbsa_2018.zip,,https://www.epa.gov/aqs -7777,EPA,AQS,annual_conc_by_monitor_2018,"2018",point,,,1,7777,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 -1234,Census,TIGER/Line,us-county-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)""]}",county,0,,file,zip,shp,tl_2018_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2018/COUNTY/tl_2018_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +data_source_uuid,org_id,org_set_id,dataset_name,dataset_version,geom_type,geom_spec,boundary_type,has_attributes,geom_dependency_uuid,download_method,download_subtype,download_data_standard,download_filename,download_url,download_auth,documentation_url +7880,EPA,AQS,daily_aqi_by_county_2020,2020,,,county,1,10207,file,zip,csv,daily_aqi_by_county_2020.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2020.zip,,https://www.epa.gov/aqs +7879,EPA,AQS,daily_aqi_by_county_2019,2019,,,county,1,10196,file,zip,csv,daily_aqi_by_county_2019.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2019.zip,,https://www.epa.gov/aqs 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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_2018_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2018/COUNTY/tl_2018_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html 6666,WaterQualityData.us,WQX,station,,point,,,0,,API,zip,csv,station.csv,https://www.waterqualitydata.us/data/Station/search?mimeType=csv&zip=yes,,https://www.waterqualitydata.us/webservices_documentation -9999,CDC/ATSDR,SVI,us-county-2018,"2018",,,county,1,1234,file,zip,shp,SVI2018_us_county.shp,https://svi.cdc.gov/Documents/Data/2018_SVI_Data/SVI2018_US_county.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html +9999,CDC/ATSDR,SVI,us-county-2018,2018,,,county,1,1234,file,zip,gdb,SVI2018_US_county.gdb,https://svi.cdc.gov/Documents/Data/2018/db/states_counties/SVI_2018_US_county.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html 5555,WaterQualityData.us,WQX,result,,,,,1,6666,API,zip,csv,result.csv,https://www.waterqualitydata.us/data/Result/search?characterticName={param1}&mimeType=csv&zip=yes,,https://www.waterqualitydata.us/webservices_documentation -10148,Census,TIGER/Line,us-zcta5-2014,"2014",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)$epsg)""]}",zcta5,0,,file,zip,shp,tl_2014_us_zcta510.shp,https://www2.census.gov/geo/tiger/TIGER2014/ZCTA5/tl_2014_us_zcta510.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10159,Census,TIGER/Line,us-zcta5-2015,"2015",polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",zcta5,0,,file,zip,shp,tl_2015_us_zcta510.shp,https://www2.census.gov/geo/tiger/TIGER2015/ZCTA5/tl_2015_us_zcta510.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -7878,EPA,AQS,daily_aqi_by_county_2018,"2018",,,county,1,1234,file,zip,csv,daily_aqi_by_county_2018.csv,https://aqs.epa.gov/aqsweb/airdata/daily_aqi_by_county_2018.zip,,https://www.epa.gov/aqs -10143,Census,TIGER/Line,us-metdiv-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)""]}",metdiv,0,,file,zip,shp,tl_2014_us_metdiv.shp,https://www2.census.gov/geo/tiger/TIGER2014/METDIV/tl_2014_us_metdiv.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10144,Census,TIGER/Line,us-state-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)""]}",state,0,,file,zip,shp,tl_2014_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2014/STATE/tl_2014_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10191,Census,TIGER/Line,us-zcta5-2018,"2018",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)$epsg)""]}",zcta5,0,,file,zip,shp,tl_2018_us_zcta510.shp,https://www2.census.gov/geo/tiger/TIGER2018/ZCTA5/tl_2018_us_zcta510.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10202,Census,TIGER/Line,us-zcta5-2019,"2019",polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",zcta5,0,,file,zip,shp,tl_2019_us_zcta510.shp,https://www2.census.gov/geo/tiger/TIGER2019/ZCTA5/tl_2019_us_zcta510.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10149,Census,TIGER/Line,us-aiannh-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)""]}",aiannh,0,,file,zip,shp,tl_2015_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2015/AIANNH/tl_2015_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10150,Census,TIGER/Line,us-aitsn-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)""]}",aitsn,0,,file,zip,shp,tl_2015_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2015/AITSN/tl_2015_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10151,Census,TIGER/Line,us-cbsa-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)""]}",cbsa,0,,file,zip,shp,tl_2015_us_cbsa.shp,https://www2.census.gov/geo/tiger/TIGER2015/CBSA/tl_2015_us_cbsa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10152,Census,TIGER/Line,us-csa-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)""]}",csa,0,,file,zip,shp,tl_2015_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2015/CSA/tl_2015_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10153,Census,TIGER/Line,us-county-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)""]}",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 = 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_2015_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2015/TBG/tl_2015_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html 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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 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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)""]}",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 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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)$epsg)""]}",aiannh,0,,file,zip,shp,tl_2013_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2013/AIANNH/tl_2013_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html 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paramaters=TRUE)$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 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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,shp,SVI2014_uscounty.shp,https://svi.cdc.gov/Documents/Data/2014_SVI_Data/SVI2014_US_cnty.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html -10616,CDC/ATSDR,SVI,us-ttract-2014,"2014",,,ttract,1,10146,file,zip,shp,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,shp,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,shp,SVI2016_uscounty.shp,https://svi.cdc.gov/Documents/Data/2016_SVI_Data/SVI2016_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,shp,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')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, 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paramaters=TRUE)$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% 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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' 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paramaters=TRUE)$epsg)""]}",aiannh,0,,file,zip,shp,tl_2018_us_aiannh.shp,https://www2.census.gov/geo/tiger/TIGER2018/AIANNH/tl_2018_us_aiannh.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10196,Census,TIGER/Line,us-county-2019,"2019",polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% colnames(staged)) 'NAME' else 'NAMELSAD')$n,geom_local_value=geometry,geom_local_epsg=sf::st_crs(staged, paramaters=TRUE)$epsg)""]}",county,0,,file,zip,shp,tl_2019_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2019/COUNTY/tl_2019_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html 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paramaters=TRUE)$epsg)""]}",state,0,,file,zip,shp,tl_2012_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2012/STATE/tl_2012_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10113,Census,TIGER/Line,us-state-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)""]}",state,0,,file,zip,shp,tl_2011_us_state.shp,https://www2.census.gov/geo/tiger/TIGER2011/STATE/tl_2011_us_state.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -10213,Census,TIGER/Line,us-zcta5-2020,"2020",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)$epsg)""]}",zcta5,0,,file,zip,shp,tl_2020_us_zcta510.shp,https://www2.census.gov/geo/tiger/TIGER2020/ZCTA5/tl_2020_us_zcta510.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html -7870,EPA,AQS,daily_TEMP_2020,"2020",point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7870,file,zip,csv,daily_TEMP_2020.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2020.zip,,https://www.epa.gov/aqs -7869,EPA,AQS,daily_TEMP_2019,"2019",point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=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)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7869,file,zip,csv,daily_TEMP_2019.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2019.zip,,https://www.epa.gov/aqs -7868,EPA,AQS,daily_TEMP_2018,"2018",point,"{""stage_transform"": 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paramaters=TRUE)$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 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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)$epsg)""]}",tbg,0,,file,zip,shp,tl_2018_us_tbg.shp,https://www2.census.gov/geo/tiger/TIGER2018/TBG/tl_2018_us_tbg.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10189,Census,TIGER/Line,us-ttract-2018,2018,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% 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paramaters=TRUE)$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% 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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)$epsg)""]}",csa,0,,file,zip,shp,tl_2020_us_csa.shp,https://www2.census.gov/geo/tiger/TIGER2020/CSA/tl_2020_us_csa.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10127,Census,TIGER/Line,us-aiannh-2013,2013,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' %in% 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paramaters=TRUE)$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' 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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)$epsg)""]}",county,0,,file,zip,shp,tl_2012_us_county.shp,https://www2.census.gov/geo/tiger/TIGER2012/COUNTY/tl_2012_us_county.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10207,Census,TIGER/Line,us-county-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME' 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paramaters=TRUE)$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 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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)$epsg)""]}",aitsn,0,,file,zip,shp,tl_2017_us_aitsn.shp,https://www2.census.gov/geo/tiger/TIGER2017/AITSN/tl_2017_us_aitsn.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10614,CDC/ATSDR,SVI,us-county-2014,2014,,,county,1,10142,file,zip,gdb,SVI2014_US_county.gdb,https://svi.cdc.gov/Documents/Data/2014/db/states_counties/SVI_2014_US_county.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html +10616,CDC/ATSDR,SVI,us-ttract-2014,2014,,,ttract,1,10146,file,zip,gdb,SVI2014_usttract.shp,https://svi.cdc.gov/Documents/Data/2014_SVI_Data/States/Tribal_Tracts.zip,,https://www.atsdr.cdc.gov/placeandhealth/svi/index.html 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paramaters=TRUE)$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 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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)$epsg)""]}",ttract,0,,file,zip,shp,tl_2011_us_ttract.shp,https://www2.census.gov/geo/tiger/TIGER2011/TTRACT/tl_2011_us_ttract.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html +10212,Census,TIGER/Line,us-uac-2020,2020,polygon,"{""stage_transform"":[""dplyr::mutate(staged,geom_source_coding='GEOID',geom_source_value=GEOID10,geom_name=dplyr::select(sf::st_drop_geometry(staged), n = if('NAME10' 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colnames(staged)) 'NAME10' else 'NAMELSAD10')$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)$epsg)""]}",uac,0,,file,zip,shp,tl_2018_us_uac10.shp,https://www2.census.gov/geo/tiger/TIGER2018/UAC/tl_2018_us_uac10.zip,,https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html 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paramaters=TRUE)$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,1,10164,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 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`County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7869,file,zip,csv,daily_TEMP_2019.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2019.zip,,https://www.epa.gov/aqs +7868,EPA,AQS,daily_TEMP_2018,2018,point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7868,file,zip,csv,daily_TEMP_2018.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2018.zip,,https://www.epa.gov/aqs +7867,EPA,AQS,daily_TEMP_2017,2017,point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=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)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7867,file,zip,csv,daily_TEMP_2017.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2017.zip,,https://www.epa.gov/aqs +7866,EPA,AQS,daily_TEMP_2016,2016,point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7866,file,zip,csv,daily_TEMP_2016.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2016.zip,,https://www.epa.gov/aqs +7865,EPA,AQS,daily_TEMP_2015,2015,point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=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)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7865,file,zip,csv,daily_TEMP_2015.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2015.zip,,https://www.epa.gov/aqs +7864,EPA,AQS,daily_TEMP_2014,2014,point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7864,file,zip,csv,daily_TEMP_2014.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2014.zip,,https://www.epa.gov/aqs +7863,EPA,AQS,daily_TEMP_2013,2013,point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=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)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7863,file,zip,csv,daily_TEMP_2013.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2013.zip,,https://www.epa.gov/aqs +7862,EPA,AQS,daily_TEMP_2012,2012,point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=paste0(stringr::str_pad(`State Code`,width=2,pad=0),stringr::str_pad(`County Code`,width=3,pad=0),stringr::str_pad(`Site Num`,width=4,pad=0)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County Name`)), geom_local_value=sf::st_as_binary(sf::st_as_sf(staged, coords=c('Latitude', 'Longitude'))$geometry,EWKB=TRUE, hex=TRUE),geom_local_epsg=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7862,file,zip,csv,daily_TEMP_2012.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2012.zip,,https://www.epa.gov/aqs +7861,EPA,AQS,daily_TEMP_2011,2011,point,"{""stage_transform"": [""dplyr::mutate(staged, geom_source_coding='state_county_site', geom_source_value=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)), geom_name = ifelse(!is.na(`Local Site Name`), `Local Site Name`, paste(Address, `State Name`, `County 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=ifelse(Datum == 'NAD83', 4326, 4269))"", ""dplyr::distinct(staged, Latitude, Longitude, geom_source_value, .keep_all = TRUE)""]}",,1,7861,file,zip,csv,daily_TEMP_2011.csv,https://aqs.epa.gov/aqsweb/airdata/daily_TEMP_2011.zip,,https://www.epa.gov/aqs diff --git a/inst/csv/variable_source.csv b/inst/csv/variable_source.csv index fb0d4938..dd11e313 100644 --- a/inst/csv/variable_source.csv +++ b/inst/csv/variable_source.csv @@ -1,121 +1,121 @@ -"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)""]}" +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`)""]}" @@ -185,4 +185,4 @@ 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)""]}" +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)""]}" \ No newline at end of file diff --git a/inst/gaiadb/initdb-gis.sh b/inst/gaiadb/initdb-gis.sh index f621ab55..58dc9326 100644 --- a/inst/gaiadb/initdb-gis.sh +++ b/inst/gaiadb/initdb-gis.sh @@ -5,5 +5,5 @@ psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" -tA CREATE EXTENSION address_standardizer; EOSQL -# Run all init create scripts -cat /init/*.sql | psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" -tA -1 \ No newline at end of file +# Run all init create scripts (IS THIS NECESSARY?? seems to take place in gaiaCore::initializeDatabase(connectionDetails) ) +cat /inst/sql/*.sql | psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" -tA -1 \ No newline at end of file From 962d3c5a09517fe79c91526da173de10e425b4ef Mon Sep 17 00:00:00 2001 From: Timothy Norris Date: Sat, 30 Sep 2023 21:28:42 -0400 Subject: [PATCH 3/8] comment for sf gdb load --- R/stageData.R | 3 +++ 1 file changed, 3 insertions(+) diff --git a/R/stageData.R b/R/stageData.R index 1b254d4f..536b3bdb 100644 --- a/R/stageData.R +++ b/R/stageData.R @@ -54,6 +54,9 @@ getStaged <- function(rec) { } utils::unzip(tempzip, exdir = gisTempdir) if (rec$download_data_standard %in% list('shp','gdb')) { + # TODO: handle cases for gdb where feature class name is different than geodatabase + # name -- this may need an extra piece of metadata to specify the named feature + # class within the geodatabase. return(sf::st_read(file.path(gisTempdir, rec$download_filename))) } else if (rec$download_data_standard == 'csv') { return(utils::read.csv(file = file.path(gisTempdir, rec$download_filename), From 692501e1db2e8ffa1ef673c24e1dae1168e0e3c8 Mon Sep 17 00:00:00 2001 From: Timothy Norris Date: Tue, 3 Oct 2023 22:58:22 -0400 Subject: [PATCH 4/8] fucntioning architecture load api --- inst/repository/R/Dockerfile | 83 ++++++++++++++++++ inst/repository/R/DockerfileOrg | 34 +++++++ inst/repository/R/R/gaia.R | 21 +++++ inst/repository/R/R/plumber.R | 14 +++ inst/repository/R/dbJars/example.R | 45 ++++++++++ .../R/dbJars/postgresql-42.2.18.jar | Bin 0 -> 1004719 bytes inst/repository/docker-compose.yml | 22 ++++- 7 files changed, 215 insertions(+), 4 deletions(-) create mode 100644 inst/repository/R/Dockerfile create mode 100644 inst/repository/R/DockerfileOrg create mode 100644 inst/repository/R/R/gaia.R create mode 100644 inst/repository/R/R/plumber.R create mode 100644 inst/repository/R/dbJars/example.R create mode 100644 inst/repository/R/dbJars/postgresql-42.2.18.jar diff --git a/inst/repository/R/Dockerfile b/inst/repository/R/Dockerfile new file mode 100644 index 00000000..a0995cb0 --- /dev/null +++ b/inst/repository/R/Dockerfile @@ -0,0 +1,83 @@ +FROM ubuntu:latest + +# get necessary system utilties +RUN apt-get update && \ + apt-get install -y \ + software-properties-common \ + default-jre \ + default-jdk + +# add needed repository for GIS tools +RUN add-apt-repository ppa:ubuntugis/ppa +RUN apt update && apt upgrade -y + +# get libraries for GIS tools +ENV DEBIAN_FRONTEND noninteractive +RUN apt-get install -y \ + libgdal-dev gdal-bin \ + libproj22 \ + libproj-dev \ + libfontconfig1-dev \ + libharfbuzz-dev \ + libfribidi-dev \ + libudunits2-dev \ + libsodium-dev \ + r-base + +# install all known dependencies for gaiaCore +RUN R -e "install.packages(c( \ + 'devtools', \ + 'bit', \ + 'bit64', \ + 'blob', \ + 'checkmate', \ + 'class', \ + 'classInt', \ + 'DatabaseConnector', \ + 'DBI', \ + 'dbplyr', \ + 'dplyr', \ + 'e1071', \ + 'generics', \ + 'hms', \ + 'KernSmooth', \ + 'lattice', \ + 'MASS', \ + 'plyr', \ + 'plumber', \ + 'progress', \ + 'proxy', \ + 'raster', \ + 'readr', \ + 'rgeos', \ + 'rJava', \ + 'rjson', \ + 'rpostgis', \ + 'RPostgreSQL', \ + 'sf', \ + 'sp', \ + 'SqlRender', \ + 'terra', \ + 'tidyr', \ + 'tidyselect', \ + 'triebeard', \ + 'tzdb', \ + 'units', \ + 'urltools', \ + 'usethis', \ + 'vroom' \ + ))" + +# install gaiaCore +RUN R -e "library('devtools'); devtools::install_github('OHDSI/GIS')" + +# copy DatabaseConnector jar file for postgres +RUN mkdir /ohdsi-gis && mkdir /ohdsi-gis/dbJars +COPY ./dbJars /ohdsi-gis/dbJars +ENV DATABASECONNECTOR_JAR_FOLDER /ohdsi-gis/dbJars + +# copy api app for gaiaCore +COPY ./R /ohdsi-gis +WORKDIR /ohdsi-gis + +CMD ["sh", "-c", "Rscript gaia.R"] \ No newline at end of file diff --git a/inst/repository/R/DockerfileOrg b/inst/repository/R/DockerfileOrg new file mode 100644 index 00000000..940dcdce --- /dev/null +++ b/inst/repository/R/DockerfileOrg @@ -0,0 +1,34 @@ +FROM ubuntu:latest + +# get necessary system utilties +RUN apt-get update && \ + apt-get install -y \ + software-properties-common \ + default-jre \ + default-jdk + +# add needed repository for GIS tools +RUN add-apt-repository ppa:ubuntugis/ppa +RUN apt update && apt upgrade -y + +# get libraries for GIS tools +RUN apt-get install -y \ + libgdal-dev gdal-bin \ + libproj22 \ + libproj-dev \ + libfontconfig1-dev \ + libharfbuzz-dev \ + libfribidi-dev + +# get the sf library for R (precompiled) +ENV DEBIAN_FRONTEND noninteractive +RUN add-apt-repository ppa:c2d4u.team/c2d4u4.0+ && \ + apt update && apt install -y r-cran-sf + +# install the gaiaCore library +RUN R -e "install.packages('githubinstall')" +RUN R -e "library('githubinstall'); githubinstall('OHDSI/gaia', ask=FALSE, ref='main')" + +# copy DatabaseConnector jar file for postgres +RUN mkdir /ohdsi-gis && mkdir /ohdsi-gis/dbJars +COPY ./dbJars /ohdsi-gis/dbJars \ No newline at end of file diff --git a/inst/repository/R/R/gaia.R b/inst/repository/R/R/gaia.R new file mode 100644 index 00000000..c567dff2 --- /dev/null +++ b/inst/repository/R/R/gaia.R @@ -0,0 +1,21 @@ +# plumber.R + +library(gaiaCore) +library(DatabaseConnector) +library(plumber) + +# set database connection +# from R docker container to gaiaDB docker container - network gaiadb_default +connectionDetails <- DatabaseConnector::createConnectionDetails( + dbms = "postgresql", + server = "gis_postgis/gaiaDB", + port = 5432, + user="postgres", + password = "mysecretpassword") + +# initialize DB connection +gaiaCore::initializeDatabase(connectionDetails) + +# configure and run endpoint +root <- pr("plumber.R") +root %>% pr_run(port=8000,host='0.0.0.0') \ No newline at end of file diff --git a/inst/repository/R/R/plumber.R b/inst/repository/R/R/plumber.R new file mode 100644 index 00000000..6445e362 --- /dev/null +++ b/inst/repository/R/R/plumber.R @@ -0,0 +1,14 @@ +#* Load the variable from the variable_source +#* @param variable_id The variable to load +#* @get /load +function(variable_id=-1){ + if (variable_id > 0) { + res <- capture.output( + gaiaCore::loadVariable(connectionDetails,variable_id), + type='message' + ) + } else { + res <- 'You must pass a variable_id' + } + list(res) +} \ No newline at end of file diff --git a/inst/repository/R/dbJars/example.R b/inst/repository/R/dbJars/example.R new file mode 100644 index 00000000..0b571299 --- /dev/null +++ b/inst/repository/R/dbJars/example.R @@ -0,0 +1,45 @@ +# install.packages("devtools") +# install.packages("roxygen2") +library(devtools) +library(roxygen2) +library(DatabaseConnector) +setwd("d:/Sync/gitRepos/projects/ohdsi-gis/") +load_all(".") +# devtools::install_github("OHDSI/GIS") +library(gaiaCore) + +# must download driver first, see: https://ohdsi.github.io/DatabaseConnectorJars/ +Sys.setenv("DATABASECONNECTOR_JAR_FOLDER" = "d:/Sync/gitRepos/GIS/dbJars") + +# set database connection +connectionDetails <- DatabaseConnector::createConnectionDetails( + dbms = "postgresql", + server = "localhost/gaiaDB", + port = 5433, + user="postgres", + password = "mysecretpassword") + +# initialize DB connection +gaiaCore::initializeDatabase(connectionDetails) + +# create index tables +gaiaCore::createIndices(connectionDetails) + +conn <- DatabaseConnector::connect(connectionDetails) +on.exit(DatabaseConnector::disconnect(conn)) +backboneExists <- DatabaseConnector::querySql(conn, sql = "SELECT schema_name FROM information_schema.schemata WHERE schema_name = 'backbone';") +backboneExists + +gaiaCore::loadVariable(connectionDetails,33) + +dataSourceTable <- gaiaCore::getDataSourceTable(connectionDetails = connectionDetails) +print(names(dataSourceTable)) +uuids <- dataSourceTable$DATA_SOURCE_UUID +print(uuids) + +conn <- DatabaseConnector::connect(connectionDetails) +on.exit(DatabaseConnector::disconnect(conn)) +attrIndex <- DatabaseConnector::dbReadTable(conn, "backbone.attr_index", check.names = FALSE) +print(names(attrIndex)) +names(attrIndex) <- tolower(names(attrIndex)) +print(names(attrIndex)) diff --git a/inst/repository/R/dbJars/postgresql-42.2.18.jar b/inst/repository/R/dbJars/postgresql-42.2.18.jar new file mode 100644 index 0000000000000000000000000000000000000000..7a851472bd0454b183affa96fa5aba9f2c007f7b GIT binary patch literal 1004719 zcmeFZV~}W3lcrm?ZQHhO`;=|lwr$(4I#qSbwr$(yoNv0LZ%@p8eW&N%KNHbAV*Oj0 zvDc3EWahgf*H(}Q20;OUfPer101*5;{+|aD00cl*R7H?hQcjHidmI1&7(hW9{2%iG zfc|xs!ap@e`8(s^jAaGoB*jFPRp?~JYP6)CHrNolt;Bu;4unT?8xVN2#g81!khq^n zklSptkLQs^gph0^^#PPpxxenVKqVsK{eu^CX_BJgKl=AKQm)N$=rUx)cQWD$<4(4N zqr-w;G{@OlV87;Y;Tywae2cKzUfMMhf+w6w(?1atM)ddK!SNe803u#|v1~2IMWv%B zR3)zMTC^$E=(>)_q9D{SoUc>x|0w@VX2p&)%{lYn=6StfUG2ruZ`%x_v)tRRri${c z)$jF2Dc`8w(ohoGr9XWDR03+R~m`qkm4)jdyFb6TL%rAU=3 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diff --git a/inst/.gitignore b/inst/.gitignore new file mode 100644 index 00000000..5c774c53 --- /dev/null +++ b/inst/.gitignore @@ -0,0 +1,2 @@ +.DS_Store +data/ \ No newline at end of file From 022188c49dbef7b7d13f2aa8d4031350395d993e Mon Sep 17 00:00:00 2001 From: Tim Norris Date: Wed, 4 Oct 2023 17:27:46 -0400 Subject: [PATCH 6/8] all repo on gaiadb netowrk --- inst/repository/docker-compose.yml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/inst/repository/docker-compose.yml b/inst/repository/docker-compose.yml index 10ffc103..e50981f8 100644 --- a/inst/repository/docker-compose.yml +++ b/inst/repository/docker-compose.yml @@ -15,12 +15,16 @@ services: image: gis_repo ports: - "5000:5000" + networks: + - gaiadb links: - "solr:index" - "gaia_r:gaiaCore" solr: container_name: solr image: solr + networks: + - gaiadb volumes: - ./collections:/collections - solr-data:/var/solr From 32625d09f963ce0f3a93c35d195de54d0050b77d Mon Sep 17 00:00:00 2001 From: Tim Norris Date: Wed, 31 Jul 2024 16:44:32 -0400 Subject: [PATCH 7/8] pre pull request cleanup --- inst/repository/R/DockerfileOrg | 34 ------------------------ inst/repository/R/{dbJars => }/example.R | 0 2 files changed, 34 deletions(-) delete mode 100644 inst/repository/R/DockerfileOrg rename inst/repository/R/{dbJars => }/example.R (100%) diff --git a/inst/repository/R/DockerfileOrg b/inst/repository/R/DockerfileOrg deleted file mode 100644 index 940dcdce..00000000 --- a/inst/repository/R/DockerfileOrg +++ /dev/null @@ -1,34 +0,0 @@ -FROM ubuntu:latest - -# get necessary system utilties -RUN apt-get update && \ - apt-get install -y \ - software-properties-common \ - default-jre \ - default-jdk - -# add needed repository for GIS tools -RUN add-apt-repository ppa:ubuntugis/ppa -RUN apt update && apt upgrade -y - -# get libraries for GIS tools -RUN apt-get install -y \ - libgdal-dev gdal-bin \ - libproj22 \ - libproj-dev \ - libfontconfig1-dev \ - libharfbuzz-dev \ - libfribidi-dev - -# get the sf library for R (precompiled) -ENV DEBIAN_FRONTEND noninteractive -RUN add-apt-repository ppa:c2d4u.team/c2d4u4.0+ && \ - apt update && apt install -y r-cran-sf - -# install the gaiaCore library -RUN R -e "install.packages('githubinstall')" -RUN R -e "library('githubinstall'); githubinstall('OHDSI/gaia', ask=FALSE, ref='main')" - -# copy DatabaseConnector jar file for postgres -RUN mkdir /ohdsi-gis && mkdir /ohdsi-gis/dbJars -COPY ./dbJars /ohdsi-gis/dbJars \ No newline at end of file diff --git a/inst/repository/R/dbJars/example.R b/inst/repository/R/example.R similarity index 100% rename from inst/repository/R/dbJars/example.R rename to inst/repository/R/example.R From e814fbfa9a6860a161f65583c6c896a89b21ad2a Mon Sep 17 00:00:00 2001 From: Tim Norris Date: Sat, 21 Sep 2024 14:53:30 -0400 Subject: [PATCH 8/8] add plumber to R package --- DESCRIPTION | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index f1549dd8..04faf129 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -5,8 +5,10 @@ Authors@R: c(person("Kyle", "Zollo-Venecek", , "kzollovenecek@tuftsmedicalcenter.org", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1615-590X")), person("Robert", "Miller", , "rmiller@minderoo.org", role = c("aut"), - comment = c(ORCID = "0000-0002-1787-2855"))) -Description: What the package does (one paragraph). + comment = c(ORCID = "0000-0002-1787-2855")), + person("Timothy", "Norris", , "tibben@ocf.berkeley.edu", role = c("aut"), + comment = c(ORCID = "0000-0002-0898-3027"))) +Description: GIS integration into the OHDSI assemblage of tools for EHR analysis. License: Apache License (>= 2) Encoding: UTF-8 Roxygen: list(markdown = TRUE) @@ -23,6 +25,7 @@ Imports: DatabaseConnector, dplyr, magrittr, + plumber, plyr, rjson, rpostgis,

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