In the first tutorial, we visualized our customers' data in the map. We added a simple metric and a simple indicator which worked with one dataset.
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| Name | Title | Data type |
|---|---|---|
transaction_id | Transaction ID | integer |
customer_id | Customer ID | integer |
store_id | Store ID | integer |
date | Date of the transaction | date |
amount | Transaction amount | decimal |
day_index | Week day index | integer |
day_name | Week day | string |
hour | Hour index | integer |
time_category | Time category | string |
channel | Channel (online/offline) | string |
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We will specify just the project ID of the administrative units dimension project - q1zdp9d0ao78rdv5. import command importProject command also offers the option to specify a prefix for all imported files, or to import only parts of the project. We need just the datasets and the data from this dimension project, so we will use --datasets parameter. The importProject command performs a data model validation using validate before the import itself.
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