Data dimensions are prepared projects that contain specific data (e.g. administrative units or demography). They can be imported into other projects and combined with their data.
List of data dimensions projects:
Administrative units hierarchy of the Czech Republic.
Every hierarchy unit has its own table:
zsj_d_dwh - Neighborhoods (Základní sídelní jednotky)
cast_obec_dwh - Aministrative districts (Části obcí)
obec_momc_dwh - Municipality and City districts (Obce a městské části)
obec_dwh - Municipalities (Obce)
orp_dwh - Municipalities with extended competences (Obce s rozšířenou působností)
okres_dwh - Districts (Okresy)
kraj_dwh - Counties (Kraje)
Data model:
Administrative units hierarchy of the Slovak Republic.
Every hierarchy unit has its own table:
zsj_dwh - Neighborhood (Základné sídelné jednotky)
zuj_dwh - Municipalities (Základné územné jednotky)
okres_dwh - Districts (Okresy)
kraj_dwh - Counties (Kraje)
Data model:
Dimension contains all dates from 2010-01-01 to 2025-12-31.
Data model:
There are few things to note when importing a can-dim-dates dimension into your project:
To match the property of your fact dataset (orders in this case) with the primaryKey of dim_dates, you have to use the date type and set the foreignKey to point to the dim_dates table.
...
{
"filterable": true,
"name": "order_date",
"title": "Order date",
"column": "order_date",
"type": "date",
"foreignKey": "dim_dates"
},
... |
The primaryKey of dim_dates table is in the ISO 8601 (YYYY-MM-DD) format.
We accept 4 possible date formats. These recognized formats are automatically converted to the YYYY-MM-DD format during the import, to match the dim_dates.date_iso property.
| Example | Format | Note |
|---|---|---|
| 2013-10-31 | YYYY-MM-DD | ISO 8601, preferred |
| 10/31/2013 | MM/DD/YYYY | |
| 31-Oct-13 | DD-MON-YY | case insensitive |
| 31/Oct/2013 | DD/MON/YYYY | case insensitive |
And to enable the date picker, you have to add the globalDate filter to your view. Here is an excerpt from the view, showing the correct settings of filterGroup.
...
"filterGroup": [
{
"type": "globalDate",
"property": "orders.order_date"
}
]
... |
Please note that when you have 2 distinct fact tables containing 2 properties you would like to filter using can-dim-dates (e.g. order date & shop opening date), you have to import the dimension twice. Due to the nature of
|
Project divides the area of Czech Republic to polygons or hexapolygons.
Data model:
