Understanding Data Responses

Look up

If it is ever unclear what an id number represents, you can use lookup to get all the information you‘d need. lookup works for any of the data series selection entities: items, metrics, regions, frequencies, sources and also units. For example:

Items

client.lookup('items', 274)

returns:

{ 'contains': [779, 780, 9338, 9339, 8219, 8220, 10568, 12431, 1443, 1687, 2749, 5433, 5128, 5127, 5125, 5001, 866, 867, 148, 692, 5126, 2175, 2514, 2515, 2516, 8092, 2521, 5114, 5118, 5115, 5116, 5117, 5601, 6338, 6586, 9252, 9253, 7626, 5103, 4370, 4368, 10106, 2303, 12697, 12698, 12699, 12700, 12701, 12702, 12703, 12704, 12705, 12706, 5434, 13479, 13652, 14725, 14726],
  'definition': "The seeds of the widely cultivated corn plant <i>Zea mays</i>, which is one of the world's most popular grains.",
  'id': 274,
  'name': 'Corn' }

Frequencies

client.lookup('frequencies', 7)

returns:

{ 'abbrev': None,
  'id': 7,
  'name': 'quarterly',
  'periodLength': { 'months': 3 } }

Units

client.lookup('units', 10)

returns:

{ 'abbreviation': 'kg',
  'baseConvFactor': { 'factor': 1 },
  'convType': 0,
  'id': 10,
  'name': 'kilogram',
  'namePlural': 'kilograms' }

You can also get this information by going to the URL of the dictionary entry for individual entities in the Gro ontology, e.g. https://app.gro-intelligence.com/dictionary/items/270 or https://app.gro-intelligence.com/dictionary/regions/1094.