schema.xml

<Schema name="Data_USA">
  
  <SharedDimension name="Date">
    <Hierarchy name="Date" primary_key="date">
      <Table name="dim_shared_date"/>
      <Level name="Date" key_column="date" key_type="text">
      </Level>
    </Hierarchy>
  </SharedDimension>

  <SharedDimension name="State">
      <Hierarchy name="State" primary_key="state_id">
        <Table name="dim_shared_state"/>
        <Level name="State" key_column="state_id" name_column="state" key_type="text">
        </Level>
      </Hierarchy>
  </SharedDimension>

  <SharedDimension name="State Election">
    <Hierarchy name="State" primary_key="geoid">
      <Table name="states_shapes2017"/>
      <Level name="State" key_column="geoid" name_column="name" key_type="text">
        <Annotation name="dim_type">GEOGRAPHY</Annotation>
      </Level>
    </Hierarchy>
  </SharedDimension>

  <SharedDimension name="County Election">
    <Hierarchy name="County" primary_key="geoid">
      <Table name="counties_shapes2017"/>
      <Level name="County" key_column="geoid" name_column="name" key_type="text">
        <Annotation name="dim_type">GEOGRAPHY</Annotation>
      </Level>
    </Hierarchy>
  </SharedDimension>

  <SharedDimension name="Product or Service" default_hierarchy="Product Level 7">
      <Annotation name="dim_type">Product or Service</Annotation>

        <Hierarchy name="Product Level 1">
            <Table name="dim_cpi_level1" />
            <Level key_column="product_id" name="Level 1.1" name_column="product_name" key_type="nontext"/>
        </Hierarchy>

        <Hierarchy name="Product Level 2">
            <Table name="dim_cpi_level2" />
            <Level key_column="level1_id" name="Level 2.1" name_column="level1_name" key_type="nontext"/>
            <Level key_column="product_id" name="Level 2.2" name_column="product_name" key_type="nontext"/>   
        </Hierarchy>

        <Hierarchy name="Product Level 3">
            <Table name="dim_cpi_level3" />
            <Level key_column="level1_id" name="Level 3.1" name_column="level1_name" key_type="nontext"/>
            <Level key_column="level2_id" name="Level 3.2" name_column="level2_name" key_type="nontext"/>
            <Level key_column="product_id" name="Level 3.3" name_column="product_name" key_type="nontext"/>
        </Hierarchy>

        <Hierarchy name="Product Level 4">
            <Table name="dim_cpi_level4" />
            <Level key_column="level1_id" name="Level 4.1" name_column="level1_name" key_type="nontext"/>
            <Level key_column="level2_id" name="Level 4.2" name_column="level2_name" key_type="nontext"/>
            <Level key_column="level3_id" name="Level 4.3" name_column="level3_name" key_type="nontext"/>
            <Level key_column="product_id" name="Level 4.4" name_column="product_name" key_type="nontext"/>
        </Hierarchy>

        <Hierarchy name="Product Level 5">
            <Table name="dim_cpi_level5" />
            <Level key_column="level1_id" name="Level 5.1" name_column="level1_name" key_type="nontext"/>
            <Level key_column="level2_id" name="Level 5.2" name_column="level2_name" key_type="nontext"/>
            <Level key_column="level3_id" name="Level 5.3" name_column="level3_name" key_type="nontext"/>
            <Level key_column="level4_id" name="Level 5.4" name_column="level4_name" key_type="nontext"/>
            <Level key_column="product_id" name="Level 5.5" name_column="product_name" key_type="nontext"/>
        </Hierarchy>

        <Hierarchy name="Product Level 6">
            <Table name="dim_cpi_level6" />
            <Level key_column="level1_id" name="Level 6.1" name_column="level1_name" key_type="nontext"/>
            <Level key_column="level2_id" name="Level 6.2" name_column="level2_name" key_type="nontext"/>
            <Level key_column="level3_id" name="Level 6.3" name_column="level3_name" key_type="nontext"/>
            <Level key_column="level4_id" name="Level 6.4" name_column="level4_name" key_type="nontext"/>
            <Level key_column="level5_id" name="Level 6.5" name_column="level5_name" key_type="nontext"/>
            <Level key_column="product_id" name="Level 6.6" name_column="product_name" key_type="nontext"/>
        </Hierarchy>

        <Hierarchy name="Product Level 7">
            <Table name="dim_cpi_level7" />
            <Level key_column="level1_id" name="Level 7.1" name_column="level1_name" key_type="nontext"/>
            <Level key_column="level2_id" name="Level 7.2" name_column="level2_name" key_type="nontext"/>
            <Level key_column="level3_id" name="Level 7.3" name_column="level3_name" key_type="nontext"/>
            <Level key_column="level4_id" name="Level 7.4" name_column="level4_name" key_type="nontext"/>
            <Level key_column="level5_id" name="Level 7.5" name_column="level5_name" key_type="nontext"/>
            <Level key_column="level6_id" name="Level 7.6" name_column="level6_name" key_type="nontext"/>
            <Level key_column="product_id" name="Level 7.7" name_column="product_name" key_type="nontext"/>
        </Hierarchy>
    </SharedDimension>

  <Cube name="Data_USA_Senate_election">

    <Annotation name="source_name">MIT Data Electionlab</Annotation>
    <Annotation name="source_link">https://electionlab.mit.edu/data</Annotation>
    <Annotation name="dataset_name">U.S Senate 1976-2020</Annotation>
    <Annotation name="dataset_link">https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/PEJ5QU/XXQCIK</Annotation>
    <Annotation name="source_name">Federal Election Commision</Annotation>
    <Annotation name="source_link">https://www.fec.gov/</Annotation>
    <Annotation name="available_dimensions">Candidate, Geography, Party, Year, Candidate Other, Special</Annotation>
    <Annotation name="hidden_dimensions">Unofficial, Version</Annotation>
    <Annotation name="hide_in_ui">Unofficial, Version</Annotation>
    
      <Table name="election_senate" primary_key="candidate_id"/>

      <DimensionUsage name="State" source="State Election" foreign_key="geo_id" type="geo" />
  
      <Dimension foreign_key="candidate_id" name="Candidate" source="election_senate">
        <Hierarchy name="Candidate" primary_key="candidate_id">
          <Level name="Candidate" key_column="candidate_id" name_column="candidate" key_type="text">
            <Property name="Office" column="office"/>
          </Level>
        </Hierarchy>
      <Annotation name="dim_type">CANDIDATE</Annotation>
      </Dimension>
  
      <Dimension foreign_key="candidate_other" name="Candidate Other" source="election_senate">
        <Hierarchy name="Candidate Other" primary_key="candidate_other">
          <Level key_column="candidate_other" name="Candidate Other" key_type="text"/>
        </Hierarchy>
      <Annotation name="dim_type">CANDIDATE OTHER</Annotation>
      </Dimension>
  
      <Dimension foreign_key="party" name="Party" source="election_senate">
        <Hierarchy name="Party" primary_key="party">
          <Level key_column="party" name="Party" key_type="text"/>
        </Hierarchy>
      <Annotation name="dim_type">PARTY</Annotation>
      </Dimension>
  
      <Dimension foreign_key="special" name="Special" source="election_senate">
        <Hierarchy name="Special" primary_key="special">
          <Level key_column="special" name="Special"/>
        </Hierarchy>
      <Annotation name="dim_type">SPECIAL</Annotation>
      </Dimension>
  
      <Dimension foreign_key="unofficial" name="Unofficial" source="election_senate">
        <Hierarchy name="Unofficial" primary_key="unofficial">
          <Level key_column="unofficial" name="Unofficial"/>
        </Hierarchy>
      </Dimension>
  
      <Dimension type="time" foreign_key="year" name="Year" source="election_senate">
        <Hierarchy name="Year" primary_key="year">
          <Level key_column="year" name="Year"/>
        </Hierarchy>
      <Annotation name="dim_type">YEAR</Annotation>
      <Annotation name="default_year">2020</Annotation>
      </Dimension>
  
      <Measure name="Candidate Votes" column="candidatevotes" aggregator="sum" visible="true">
        <Annotation name="units_ofmeasurement">VOTES</Annotation>
      </Measure>
  
      <Measure name="Total Votes" column="totalvotes" aggregator="max" visible="true">
        <Annotation name="units_ofmeasurement">VOTES</Annotation>
      </Measure>
  
    </Cube>

  <Cube name="Data_USA_House_election">

    <Annotation name="source_name">MIT Data Electionlab</Annotation>
    <Annotation name="source_link">https://electionlab.mit.edu/data</Annotation>
    <Annotation name="dataset_name">U.S House 1976-2020</Annotation>
    <Annotation name="dataset_link">https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/IG0UN2/8KAB8V</Annotation>
    <Annotation name="source_name">Federal Election Commision</Annotation>
    <Annotation name="source_link">https://www.fec.gov/</Annotation>
    <Annotation name="available_dimensions">Candidate, Geography, Party, Year, Candidate Other, Special</Annotation>
    <Annotation name="hidden_dimensions">Unofficial, Version</Annotation>
    <Annotation name="hide_in_ui">Unofficial, Version</Annotation>
    
      <Table name="election_house" primary_key="candidate_id"/>
  
      <Dimension type="geo" foreign_key="geo_id" name="Geography" default_hierarchy="State">
        <Hierarchy name="Geography">
          <Table name="dim_election_geo" />
          <Level name="State" key_column="state_id" name_column="state_name" key_type="text"/>
          <Level name="Congressional District" key_column="congressional_id" name_column="congressional_name" key_type="text"/>
        </Hierarchy>
        <Annotation name="dim_type">GEOGRAPHY</Annotation>
      </Dimension>
  
      <Dimension foreign_key="candidate_id" name="Candidate" source="election_house">
        <Hierarchy name="Candidate" primary_key="candidate_id">
          <Level name="Candidate" key_column="candidate_id" name_column="candidate" key_type="text">
            <Property name="Office" column="office"/>
          </Level>
        </Hierarchy>
      <Annotation name="dim_type">CANDIDATE</Annotation>
      </Dimension>
  
      <Dimension foreign_key="candidate_other" name="Candidate Other" source="election_house">
        <Hierarchy name="Candidate Other" primary_key="candidate_other">
          <Level key_column="candidate_other" name="Candidate Other" key_type="text"/>
        </Hierarchy>
      <Annotation name="dim_type">CANDIDATE OTHER</Annotation>
      </Dimension>
  
      <Dimension foreign_key="party" name="Party" source="election_house">
        <Hierarchy name="Party" primary_key="party">
          <Level key_column="party" name="Party" key_type="text"/>
        </Hierarchy>
      <Annotation name="dim_type">PARTY</Annotation>
      </Dimension>
  
      <Dimension foreign_key="special" name="Special" source="election_house">
        <Hierarchy name="Special" primary_key="special">
          <Level key_column="special" name="Special"/>
        </Hierarchy>
      <Annotation name="dim_type">SPECIAL</Annotation>
      </Dimension>
  
      <Dimension foreign_key="runoff" name="Runoff" source="election_house">
        <Hierarchy name="Runoff" primary_key="runoff">
          <Level key_column="runoff" name="Runoff"/>
        </Hierarchy>
      <Annotation name="dim_type">RUNOFF</Annotation>
      </Dimension>
  
      <Dimension foreign_key="unofficial" name="Unofficial" source="election_house">
        <Hierarchy name="Unofficial" primary_key="unofficial">
          <Level key_column="unofficial" name="Unofficial"/>
        </Hierarchy>
      </Dimension>
  
      <Dimension  type="time" foreign_key="year" name="Year" source="election_house">
        <Hierarchy name="Year" primary_key="year">
          <Level key_column="year" name="Year"/>
        </Hierarchy>
      <Annotation name="dim_type">YEAR</Annotation>
      <Annotation name="default_year">2020</Annotation>
      </Dimension>
  
      <Measure name="Candidate Votes" column="candidatevotes" aggregator="sum" visible="true">
        <Annotation name="units_ofmeasurement">VOTES</Annotation>
      </Measure>
  
      <Measure measure_type="units_ofmeasurement" name="Total Votes" column="totalvotes" aggregator="max" visible="true">
        <Annotation name="units_ofmeasurement">VOTES</Annotation>
      </Measure>
  
    </Cube>

  <Cube name="Data_USA_President_election">

    <Annotation name="source_name">MIT Data Electionlab</Annotation>
    <Annotation name="source_link">https://electionlab.mit.edu/data</Annotation>
    <Annotation name="dataset_name">U.S President 1976-2020</Annotation>
    <Annotation name="dataset_link">https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/42MVDX/MFU99O</Annotation>
    <Annotation name="dataset_name">County Presidential Election Returns 2000-2020</Annotation>
    <Annotation name="dataset_link">https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/VOQCHQ/FQ9NBF</Annotation>
    <Annotation name="source_name">Federal Election Commision</Annotation>
    <Annotation name="source_link">https://www.fec.gov/</Annotation>
    <Annotation name="available_dimensions">Candidate, Geography, Party, Year</Annotation>
    <Annotation name="hidden_dimensions">Version</Annotation>
    
      <Table name="election_president" primary_key="candidate_id"/>
  
      <Dimension type= "geo" name="Geography" foreign_key="geo_id" default_hierarchy="Nation">
        <Hierarchy hasAll="true" name="Nation">
          <Table name="us_nation" />
          <Level name="Nation" key_column="geoid" name_column="name" key_type="text"/>
        </Hierarchy>
        <Hierarchy hasAll="true" name="State">
            <Table name="states_shapes2017" />
            <Level name="State" key_column="geoid" name_column="name" key_type="text"/>
        </Hierarchy>
        <Hierarchy hasAll="true" name="County">
            <Table name="counties_shapes2017" />
            <Level name="State County" key_column="state_id" name_column="state_name" key_type="text"/>
            <Level name="County" key_column="geoid" name_column="name" key_type="text"/>
        </Hierarchy>
      <Annotation name="dim_type">GEOGRAPHY</Annotation>
      </Dimension>
  
      <Dimension foreign_key="candidate_id" name="Candidate" source="election_president">
        <Hierarchy name="Candidate" primary_key="candidate_id">
          <Level name="Candidate" key_column="candidate_id" name_column="candidate" key_type="text">
            <Property name="Office" column="office"/>
          </Level>
        </Hierarchy>
      <Annotation name="dim_type">CANDIDATE</Annotation>
      </Dimension>
  
      <Dimension foreign_key="party" name="Party" source="election_president">
        <Hierarchy name="Party" primary_key="party">
          <Level key_column="party" name="Party" key_type="text"/>
        </Hierarchy>
      <Annotation name="dim_type">PARTY</Annotation>
      </Dimension>
  
      <Dimension type="time" foreign_key="year" name="Year" source="election_president">
        <Hierarchy name="Year" primary_key="year">
          <Level key_column="year" name="Year">
            <Annotation name="default_year">2020</Annotation>
          </Level>
        </Hierarchy>
      <Annotation name="dim_type">YEAR</Annotation>
      </Dimension>
  
      <Measure name="Candidate Votes" column="candidatevotes" aggregator="sum" visible="true">
        <Annotation name="units_of_measurement">VOTES</Annotation>
      </Measure>
  
      <Measure name="Total Votes" column="totalvotes" aggregator="max" visible="true">
        <Annotation name="units_of_measurement">VOTES</Annotation>
      </Measure>
  
    </Cube>

  <Cube name="Data_USA_House_Compact_election">

    <Annotation name="source_name">MIT Data Electionlab</Annotation>
    <Annotation name="source_link">https://electionlab.mit.edu/data</Annotation>
    <Annotation name="dataset_name">U.S House 1976-2020</Annotation>
    <Annotation name="dataset_link">https://dataverse.harvard.edu/api/access/datafile/:persistentId?persistentId=doi:10.7910/DVN/IG0UN2/8KAB8V</Annotation>
    <Annotation name="source_name">Federal Election Commision</Annotation>
    <Annotation name="source_link">https://www.fec.gov/</Annotation>
    <Annotation name="hidden_dimensions">Version</Annotation>
    <Annotation name="source_description">By applying scientific principles to how elections are studied and administered, the MIT Election Lab aims to improve the democratic experience for all U.S. voters. The lab supports advances in election science by collecting, analyzing, and sharing core data and findings. They also aim to build relationships with election officials and others to help apply new scientific research to the practice of democracy in the United States.</Annotation>
    
      <Table name="election_house_compact" schema="election" primary_key="winning_candidate"/>
  
      <Dimension type="geo" foreign_key="district" name="Geography" default_hierarchy="State">
        <Hierarchy name="Geography">
          <Table name="dim_election_geo" />
          <Level name="State" key_column="state_id" name_column="state_name" key_type="text"/>
          <Level name="Congressional District" key_column="congressional_id" name_column="congressional_name" key_type="text"/>
        </Hierarchy>
        <Annotation name="dim_type">GEOGRAPHY</Annotation>
      </Dimension>
      
      <Dimension  type="time" foreign_key="year" name="Year" source="election_house_compact">
        <Hierarchy name="Year" primary_key="year">
          <Level name="Year" key_column="year"/>
        </Hierarchy>
      <Annotation name="dim_type">YEAR</Annotation>
      <Annotation name="default_year">2020</Annotation>
      </Dimension>

      <Dimension foreign_key="winning_candidate" name="Candidate" source="election_house_compact">
        <Hierarchy name="Candidate" primary_key="winning_candidate">
          <Level name="Candidate" key_column="winning_candidate" key_type="text"/>
        </Hierarchy>
      <Annotation name="dim_type">CANDIDATE</Annotation>
      </Dimension>

      <Dimension foreign_key="special" name="Special" source="election_house_compact">
        <Hierarchy name="Special" primary_key="special">
          <Level key_column="special" name="Special"/>
        </Hierarchy>
      <Annotation name="dim_type">SPECIAL</Annotation>
      </Dimension>

      <Dimension foreign_key="party" name="Party" source="election_house_compact">
        <Hierarchy name="Party" primary_key="party">
          <Level key_column="party" name="Party" key_type="text"/>
        </Hierarchy>
      <Annotation name="dim_type">PARTY</Annotation>
      </Dimension>

      <Dimension foreign_key="runoff" name="Runoff" source="election_house_compact">
        <Hierarchy name="Runoff" primary_key="runoff">
          <Level key_column="runoff" name="Runoff"/>
        </Hierarchy>
      <Annotation name="dim_type">RUNOFF</Annotation>
      </Dimension>

      <Measure name="Winner Votes" column="winner_votes" aggregator="sum" visible="true">
        <Annotation name="units_ofmeasurement">VOTES</Annotation>
      </Measure>
      
      <Measure name="Other Votes" column="other_votes" aggregator="sum" visible="true">
        <Annotation name="units_ofmeasurement">VOTES</Annotation>
      </Measure>

      <Measure name="Total Votes" column="total_votes" aggregator="max" visible="true">
        <Annotation name="units_ofmeasurement">VOTES</Annotation>
      </Measure>
  
    </Cube>

    <Cube name="Data_USA_Electoral_College_president">

      <Annotation name="source_name">Federal Election Commision</Annotation>
      <Annotation name="source_link">https://www.fec.gov/</Annotation>
      <Annotation name="dataset_name">Federal Elections 2016: Election Results for the U.S. President, the U.S. Senate, and the U.S. House of Representatives</Annotation>
      <Annotation name="dataset_link">https://transition.fec.gov/pubrec/fe2016/federalelections2016.xlsx</Annotation>
      <Annotation name="dataset_name">Federal Elections 2004: Election Results for the U.S. President, the U.S. Senate, and the U.S. House of Representatives</Annotation>
      <Annotation name="dataset_link">https://transition.fec.gov/pubrec/fe2004/federalelections2004.xls</Annotation>
      <Annotation name="available_dimensions">Geography, Party, Year</Annotation>
      
        <Table name="election_electoralcollege" primary_key="geoid"/>
    
        <Dimension type="geo" name="Geography" foreign_key="geoid" >
          <Hierarchy name="Geography" hasAll="true" >
              <Table name="states_shapes2017" />
              <Level name="State" key_column="geoid" name_column="name" key_type="text"/>
          </Hierarchy>
        <Annotation name="dim_type">GEOGRAPHY</Annotation>
        </Dimension>
    
        <Dimension type="time" foreign_key="year" name="Year" source="election_electoralcollege">
          <Hierarchy name="Year" primary_key="year">
            <Level key_column="year" name="Year"/>
          </Hierarchy>
        <Annotation name="dim_type">YEAR</Annotation>
        <Annotation name="default_year">2020</Annotation>
        </Dimension>
    
        <Dimension foreign_key="party" name="Party" source="election_electoralcollege">
          <Hierarchy name="Party" primary_key="party">
            <Level key_column="party" name="Party" key_type="text"/>
          </Hierarchy>
        <Annotation name="dim_type">PARTY</Annotation>
        </Dimension>
    
        <Measure name="Electoral College Votes" column="electoralvote" aggregator="sum" visible="true">
          <Annotation name="units_ofmeasurement">VOTES</Annotation>
        </Measure>
    
      </Cube>
  
      <Cube name="BLS Unemployment Insurance Claims">
    
        <Annotation name="source_name">U.S Department of Labor</Annotation>
        <Annotation name="source_link">https://www.dol.gov/</Annotation>
        
        <Table name="bls_insurance_claims" primary_key="week_ended" />
    
        <DimensionUsage foreign_key="fips_code" source="State" name="State" />

        <Dimension name="Week Ended" foreign_key="week_ended">
          <Hierarchy name="Week Ended" primary_key="date">
              <Table name="dim_shared_date"/>
              <Level name="Week Ended" key_column="date" key_type="text" />
          </Hierarchy>
        </Dimension>

        <Dimension name="Week Previous" foreign_key="reflecting_week_end">
          <Hierarchy name="Week Previous" primary_key="date">
              <Table name="dim_shared_date"/>
              <Level name="Week Previous" key_column="date" key_type="text" />
          </Hierarchy>
        </Dimension>
    
        <Measure name="Initial Claims" column="initial_claims" aggregator="sum">    
            <Annotation name="details">Value</Annotation> 
        </Measure>
    
        <Measure name="Continued Claims" column="continued_claims" aggregator="sum">
            <Annotation name="details">Value</Annotation>
        </Measure>

        <Measure name="Covered Employment" column="covered_employment" aggregator="sum">    
            <Annotation name="details">Value</Annotation> 
        </Measure>

        <Measure name="Insured Unemployment Rate" column="insured_unemployment_rate" aggregator="avg">    
            <Annotation name="details">Rate</Annotation> 
        </Measure>
    
    </Cube>
    
    <Cube name="BLS Unemployment Insurance Claims - Most Recent">
    
      <Annotation name="source_name">U.S Department of Labor</Annotation>
      <Annotation name="source_link">https://www.dol.gov/</Annotation>
      
      <Table name="bls_insurance_most_recent" primary_key="week_ended" />
  
      <DimensionUsage foreign_key="fips_code" source="State" name="State" />

      <Dimension name="Week Ended" foreign_key="week_ended">
        <Hierarchy name="Week Ended" primary_key="date">
            <Table name="dim_shared_date"/>
            <Level name="Week Ended" key_column="date" key_type="text" />
        </Hierarchy>
      </Dimension>

      <Dimension name="Week Previous" foreign_key="reflecting_week_end">
        <Hierarchy name="Week Previous" primary_key="date">
            <Table name="dim_shared_date"/>
            <Level name="Week Previous" key_column="date" key_type="text" />
        </Hierarchy>
      </Dimension>
  
      <Measure name="Initial Claims" column="initial_claims" aggregator="sum">    
          <Annotation name="details">Value</Annotation> 
      </Measure>
  
      <Measure name="Continued Claims" column="continued_claims" aggregator="sum">
          <Annotation name="details">Value</Annotation>
      </Measure>

      <Measure name="Covered Employment" column="covered_employment" aggregator="sum">    
          <Annotation name="details">Value</Annotation> 
      </Measure>

      <Measure name="Insured Unemployment Rate" column="insured_unemployment_rate" aggregator="avg">    
          <Annotation name="details">Rate</Annotation> 
      </Measure>
  
    </Cube>

    <Cube name="BLS Employment - Industry Only" >
      
      <Annotation name="source_name">Bureau of Labor Statistics</Annotation>
      <Annotation name="source_description">The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is the principal federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy.</Annotation>
      <Annotation name="dataset_name">Current Employment Statistics (CES)</Annotation>
      <Annotation name="dataset_link">https://www.bls.gov/data/#employment</Annotation>
      <Annotation name="topic">Economy</Annotation>
      <Annotation name="subtopic">Employment</Annotation>
      
      <Table name="bls_industry_fact" />

      <Dimension name="Time" foreign_key="time_id" >
        <Hierarchy name="Time" primary_key="time_id" >
          <Table name="dim_time"/>
          <Level name="Month of Year" key_column="time_id" name_column="month_name" key_type="text"/>
        </Hierarchy>
      </Dimension>

      <Dimension name="Employment State" foreign_key="state_id" >
        <Hierarchy name="Employment State" primary_key="state_id">
          <Table name="dim_state" />
          <Level name="Employment State" key_column="state_id" name_column="state_name" key_type="text"/>
        </Hierarchy>
      </Dimension>

      <Dimension name="Industry" foreign_key="industry_id" >
        <Hierarchy name="Industry" primary_key="industry_id">
          <Table name="dim_industry" />
          <Level name="Industry" key_column="industry_id" name_column="industry_name" key_type="text" />
        </Hierarchy>
      </Dimension>
      
      <Measure name="NSA Employees" column="NSA_employees" aggregator="sum" visible="true"/>
      <Measure name="NSA Average Employees" column="NSA_employees" aggregator="avg" visible="true"/>
      <Measure name="SA Employees" column="SA_employees" aggregator="sum" visible="true"/>
      <Measure name="SA Average Employees" column="SA_employees" aggregator="avg" visible="true"/>
    
  </Cube>

  <Cube name="Consumer Price Index - CPI" >

        <Annotation name="source_name">Bureau of Labor Statistics</Annotation>
        <Annotation name="source_description">The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is the principal federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy.</Annotation>
        <Annotation name="dataset_name">Consumer Price Index (CPI)</Annotation>
        <Annotation name="dataset_link">https://www.bls.gov/cpi/tables/supplemental-files/home.htm</Annotation>
        <Annotation name="topic">Economy</Annotation>
        <Annotation name="subtopic">Consumer Price</Annotation>

        <Table name="cpi_data" />

        <Dimension name="Time" foreign_key="time_id" >
          <Hierarchy name="Time" primary_key="time_id" >
            <Table name="dim_months_cpi"/>
            <Level name="Year" key_column="year" key_type="nontext"/>
            <Level name="Month and Year" key_column="time_id" name_column="month_name" key_type="nontext"/>
          </Hierarchy>
        </Dimension>

        <DimensionUsage foreign_key="product_id" name="Product or Service" source="Product or Service">
            <Annotation name="dim_type">Product or Service</Annotation>
        </DimensionUsage>

        <Measure name="Consumer Price Inde" column="unadjusted_percent_change" aggregator="avg" visible="true"/>
        <Measure name="Standard Error" column="standard_error" aggregator="avg" visible="true"/>
        <Measure name="Percent Change" column="percent_change" aggregator="avg" visible="true"/>
  </Cube>

  <Cube name="BLS Employment - Supersector Only" >
    <Annotation name="source_name">Bureau of Labor Statistics</Annotation>
    <Annotation name="source_description">The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is the principal federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy.</Annotation>
    <Annotation name="dataset_name">Current Employment Statistics (CES)</Annotation>
    <Annotation name="dataset_link">https://www.bls.gov/data/#employment</Annotation>
    <Annotation name="topic">Economy</Annotation>
    <Annotation name="subtopic">Employment</Annotation>

    <Table name="bls_supersector_fact" />

    <Dimension name="Time" foreign_key="time_id" >
      <Hierarchy name="Time" primary_key="time_id" >
        <Table name="dim_time"/>
        <Level name="Month of Year" key_column="time_id" name_column="month_name" key_type="text"/>
      </Hierarchy>
    </Dimension>

    <Dimension name="Employment State" foreign_key="state_id" >
      <Hierarchy name="Employment State" primary_key="state_id">
        <Table name="dim_state" />
        <Level name="Employment State" key_column="state_id" name_column="state_name" key_type="text"/>
      </Hierarchy>
    </Dimension>

    <Dimension name="Supersector" foreign_key="supersector_id" >
      <Hierarchy name="Supersector" primary_key="supersector_id">
        <Table name="dim_supersector" />
        <Level name="Supersector" key_column="supersector_id" name_column="supersector_name" key_type="text" />
      </Hierarchy>
    </Dimension>

    <Measure name="NSA Employees" column="NSA_employees" aggregator="sum" visible="true"/>
    <Measure name="NSA Average Employees" column="NSA_employees" aggregator="avg" visible="true"/>
    <Measure name="SA Employees" column="SA_employees" aggregator="sum" visible="true"/>
    <Measure name="SA Average Employees" column="SA_employees" aggregator="avg" visible="true"/>
    
  </Cube>
  <Cube name="ed_defaults">
      <Annotation name="source_name">Department of Education</Annotation>
      <Annotation name="source_link">https://www.ed.gov/</Annotation>
      <Annotation name="source_description">The Department of Education's 'mission is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access.'</Annotation>
      <Annotation name="dataset_name">Cohort Default Rate Database</Annotation>
      <Annotation name="dataset_link">https://www2.ed.gov/offices/OSFAP/defaultmanagement/cdr.html</Annotation>
      <Annotation name="dataset_description">According to the Department of Education: 'A cohort default rate is the percentage of a school's borrowers who enter repayment on certain Federal Family Education Loan (FFEL) Program or William D. Ford Federal Direct Loan (Direct Loan) Program loans during a particular federal fiscal year (FY), October 1 to September 30, and default or meet other specified conditions prior to the end of the second following fiscal year.'</Annotation>
      <Annotation name="topic">Education</Annotation>
      <Annotation name="subtopic">Default Rate</Annotation>

      <Table name="ed_defaults" />

      <Dimension name="Year" foreign_key="year">  
          <Annotation name="dim_type">TIME</Annotation>
          <Hierarchy name="Year" primary_key="Year">
              <Level name="Year" key_column="year" key_type="nontext" />
          </Hierarchy>
      </Dimension>

      <Dimension foreign_key="county" name="Geography">
          <Annotation name="dim_type">GEOGRAPHY</Annotation>
        
          <Hierarchy name="Geography" primary_key="geoid">
            <Table name="counties_shapes2017" />

            <Level key_column="state_id" name="State" name_column="state_name" key_type="text" />
            <Level key_column="geoid" name="County" name_column="name" key_type="text" />
          </Hierarchy>
      </Dimension>

      <Dimension name="OPEID" foreign_key="opeid">
          <Annotation name="dim_type">OPEID</Annotation>

          <Hierarchy name="OPEID" primary_key="opeid">
              <Level name="OPEID" key_column="opeid" name_column="opeid_name" key_type="text" />
          </Hierarchy>
      </Dimension>

      <Measure aggregator="sum" column="num" name="Borrowers In Default" visible="true">
          <Annotation name="units_of_measurement">People</Annotation>
      </Measure>

      <Measure aggregator="sum" column="denom" name="Borrowers Entered Repayment" visible="true">
          <Annotation name="units_of_measurement">People</Annotation>
      </Measure>

      <Measure aggregator="avg" column="default_rate" name="Default Rate">
          <Annotation name="units_of_measurement">Rate</Annotation>
      </Measure>
  </Cube>
  <Cube name="bea_use">
        <Annotation name="source_name">Bureau of Economic Analysis</Annotation>
        <Annotation name="source_link">https://bea.gov/</Annotation>
        <Annotation name="topic">Economy</Annotation>
        <Annotation name="subtopic">Industry Flows</Annotation>
        <Annotation name="dataset_name">Use Tables</Annotation>
        <Annotation name="dataset_link">https://www.bea.gov/industry/input-output-accounts-data</Annotation>
        <Annotation name="source_description">The Bureau of Economic Analysis (BEA) publishes data on Input-Output, also called Make-Use, for industries in the United States. This Dataset is provided by the US Department of Commerce. Use of commodities by industry are valued at producers prices.</Annotation>

        <Table name="bea_use" />

        <Dimension name="Year" foreign_key="year">  
            <Annotation name="dim_type">TIME</Annotation>
            <Hierarchy name="Year" primary_key="Year">
                <Level name="Year" key_column="year" key_type="nontext" />
            </Hierarchy>
        </Dimension>

        <Dimension name="Industry IO Code" foreign_key="industry_iocode">
            <Hierarchy  name="Industry IO Code" primary_key="industry_iocode">
              <Level key_column="industry_iocode_parent" name_column="industry_iocode_parent_name" name="Industry L0" key_type="text" />
              <Level key_column="industry_iocode" name_column="industry_iocode_description" name="Industry L1" key_type="text" />
            </Hierarchy>
        </Dimension>

        <Dimension name="Commodity IO Code" foreign_key="commodity_iocode">
            <Hierarchy name="Commodity IO Code" primary_key="commodity_iocode">
              <Level key_column="commodity_iocode_parent" name_column="commodity_iocode_parent_name" name="Commodity L0" key_type="text"/>
              <Level key_column="commodity_iocode" name_column="commodity_iocode_description" name="Commodity L1" key_type="text"/>
            </Hierarchy>
        </Dimension>

        <Measure aggregator="sum" column="value_millions" name="Value Millions">
            <Annotation name="units_of_measurement">USD</Annotation>
        </Measure>
  </Cube>
  <Cube name="dot_faf">
        <Annotation name="source_name">Department of Transportation Federal Highway Administration</Annotation>
        <Annotation name="source_description">The Freight Analysis Framework (FAF), produced through a partnership between Bureau of Transportation Statistics (BTS) and Federal Highway Administration (FHWA), integrates data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. Starting with data from the 2012 Commodity Flow Survey (CFS) and international trade data from the Census Bureau, FAF incorporates data from agriculture, extraction, utility, construction, service, and other sectors. The FAF data give a picture of which goods are shipped from one region of the US to another region, according to type of commodity, mode of shipment, value, and weight.</Annotation>
        <Annotation name="dataset_name">Freight Analysis Framework Domestic Flows</Annotation>
        <Annotation name="dataset_link">https://ops.fhwa.dot.gov/freight/freight_analysis/faf/</Annotation>
        <Annotation name="subtopic">Freight</Annotation>
        <Annotation name="topic">Economy</Annotation>
        <Annotation name="source_link">https://www.fhwa.dot.gov/</Annotation>
    
        <Table name="dot_faf" />

        <Dimension name="Year" foreign_key="year">  
            <Annotation name="dim_type">TIME</Annotation>
            <Hierarchy name="Year" primary_key="Year">
                <Level name="Year" key_column="year" key_type="nontext">
                    <Property name="Year Base" column="year_base"/>
                </Level>
            </Hierarchy>
        </Dimension>

        <Dimension foreign_key="origin_region" name="Origin">
            <Annotation name="dim_type">GEOGRAPHY</Annotation>
          
            <Hierarchy name="Origin" primary_key="region_id">
                <Table name="faf_regions" />

                <Level key_column="state_id" name_column="state_name" name="Origin State" key_type="text"/>
                <Level key_column="region_id" name_column="region_name" name="Origin Region" key_type="text"/>
            </Hierarchy>
        </Dimension>

        <Dimension foreign_key="destination_region" name="Destination">
            <Annotation name="dim_type">GEOGRAPHY</Annotation>

            <Hierarchy primary_key="region_id" name="Destination">
                <Table name="faf_regions"/>

                <Level key_column="state_id" name_column="state_name" name="Destination State" key_type="text"/>
                <Level key_column="region_id" name_column="region_name" name="Destination Region" key_type="text"/>
            </Hierarchy>
        </Dimension>

        <Dimension foreign_key="sctg" name="SCTG">
            <Annotation name="dim_type">PRODUCT</Annotation>
            <Hierarchy name="SCTG" primary_key="sctg_code">
                <Table name="sctg" />
                <Level key_column="sctg_code" name_column="sctg_name" name="SCTG2" key_type="text"/>
            </Hierarchy>
        </Dimension>

        <Dimension foreign_key="mode" name="Transportation Mode">
            <Annotation name="dim_type">GENERIC</Annotation>

            <Hierarchy name="Transportation Mode">
                <InlineTable alias="transportation_mode">
                    <ColumnDef name="id" key_type="nontext" key_column_type="UInt8"/>
                    <ColumnDef name="name" key_type="text"/>
                    <ColumnDef name="description" key_type="text"/>
    
                    <Row>
                      <Value column="id">1</Value>
                      <Value column="name">Truck</Value>
                      <Value column="description">Includes private and for-hire truck. Does not include truck that is part of Multiple Modes and Mail or truck moves in conjunction with domestic air cargo.</Value>
                    </Row>
                    <Row>
                      <Value column="id">2</Value>
                      <Value column="name">Rail</Value>
                      <Value column="description">Includes any common carrier or private railroad. Does not include rail that is part of Multiple Modes and Mail. </Value>
                    </Row>
                    <Row>
                      <Value column="id">3</Value>
                      <Value column="name">Water</Value>
                      <Value column="description">Includes shallow draft, deep draft, Great Lakes and intra-port shipments. Does not include water that is part of Multiple Modes and Mail.</Value>
                    </Row>
                    <Row>
                      <Value column="id">4</Value>
                      <Value column="name">Air (includes truck-air)</Value>
                      <Value column="description">Includes shipments move by air or a combination of truck and air in commercial or private aircraft. Includes air freight and air express. In the case of imports and exports by air, domestic moves by ground to and from the port of entry or exit are categorized with Truck.</Value>
                    </Row>
                    <Row>
                      <Value column="id">5</Value>
                      <Value column="name">Multiple Modes and Mail</Value>
                      <Value column="description">Includes shipments by multiple modes and by parcel delivery services, U.S. Postal Service, or couriers (capped at 150 pounds). This category is not limited to containerized or trailer-on-flatcar shipments.</Value>
                    </Row>
                    <Row>
                      <Value column="id">6</Value>
                      <Value column="name">Pipeline</Value>
                      <Value column="description">Includes crude petroleum, natural gas, and product pipelines. Note: Does include flows from offshore wells to land which are counted as Water moves by the U.S. Army Corps of Engineers. Does not include pipeline that is part of Multiple Modes and Mail.</Value>
                    </Row>
                    <Row>
                      <Value column="id">7</Value>
                      <Value column="name">Other and Unknown</Value>
                      <Value column="description">Includes movements not elsewhere classified such as flyaway aircraft, and shipments for which the mode cannot be determined.</Value>
                    </Row>
                </InlineTable>
                <Level key_column="id" name="Transportation Mode" name_column="name" key_type="nontext">
                    <Property name="Description" column="description"/>
                </Level>
            </Hierarchy>
        </Dimension>

        <Measure aggregator="sum" column="value_millions" name="Millions Of Dollars" visible="true">
            <Annotation name="details">Value in millions of 2012 US Dollars.</Annotation>
            <Annotation name="units_of_measurement">USD</Annotation>
        </Measure>

        <Measure aggregator="sum" column="thousand_tons" name="Thousands Of Tons" visible="true">
            <Annotation name="details">Weight in thousands of tons.</Annotation>
            <Annotation name="units_of_measurement">Thousands of Tons</Annotation>
        </Measure>
    </Cube>
  
</Schema>