Specifying geographic fields

In Cloudera Data Visualization, you can explicitly specify a dataset field as one of the many supported geographical types.

In this example the dataset Canadian Census is used, constructed from example datasets, and joined of the fields fsa and Postal Code, respectively.

The following steps demonstrate how to assign Geo Types to a dataset field. We are using the two fields from the join of the Canadian Census dataset: fsa from canada_census_population_dwellings, and Postal Code from ca_postal_codes.

  1. Navigate to the dataset that you must modify. In this example, the Food Stores Inspection in NYC dataset is used.
  2. In the Dataset Detail menu, select Fields.
  3. In the Fields interface, select EDIT FIELDS.
  4. Click the Edit (pencil) icon on the right side of the field.
  5. In the Edit Field Parameters window modal, under Geo Type, select the appropriate option from the menu.
  6. Click APPLY. For zip_code, we also changed the Display Name to Postal Code in the example.
  7. Under Dataset: Food Stores Inspection in NYC.
  8. Click SAVE.

The dataset can now be successfully used for map and interactive map visuals, without further adjustments at the level of the visual.