2022 Version History of Paavo Postal Code Areas Extending to Marine Areas

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The 'table__history' is an expansive collection of data, compiled from the Finnish Statistics Bureau (Tilastokeskus), and organized into a structured format for ease of analysis. This table is part of the 'postialue_pno_meri_2022' dataset collection, and serves as a historical record, storing the version history of its base table rows.

The contents of the table are primarily centered around the Paavo postal code areas, extending to marine areas, as of the year 2022. The records in the table are uniquely identified by a combination of the date the row was extracted from the data source ('_start_date') and the row number in the raw data ('_row_number'). This table also includes the '_end_date', marking when a new version of the row was extracted. Thus, allowing tracking of each row's evolution over time. If the '_end_date' is null, it indicates that the row is the most recent version.

The table also contains geospatial data, marked by columns beginning with 'geom_'. These offer a wealth of geographic information, including the type of geographic data, geographic coordinates, and textual and JSON representations of the geographic shapes. This data adheres to the WGS 84 coordinate reference system, and presents coordinates in the order of longitude followed by latitude.

In addition to the geographic data, the table includes columns storing the municipality code ('kunta'), municipality number ('kuntanro'), Finnish and Swedish names of the area ('nimi', 'namn'), and the area's size ('pinta_ala') amongst other details. There's also a field for the year ('vuosi'), which helps to identify the temporal context of the data.

In terms of analytics, this table could be immensely useful. For instance, the geospatial data can be used to perform spatial analyses, such as studying patterns and trends in geographic distribution of the postal code areas. The historical data can be used to track changes in the postal code areas over time, potentially revealing insights into urban development and planning trends. The data on area size can support analyses related to land use and urban density. Furthermore, the municipality information can be used to correlate the data with other demographic or socioeconomic data at the municipality level, providing a rich context for in-depth studies.

Field Descriptions

Name Data type Description
_start_datedateThis column indicates the date when the row was extracted from the data source. It is part of a unique identifier for each row in this version history table.
_end_datedateThis column records the date when a new version of the row was extracted from the data source. If the value is null, it indicates that the row is the most recent version.
_row_numberlongThis column contains the number of the row in the raw data extracted from the data source. Together with '_start_date', it forms a unique identifier for each row in this version history table.
geom_geojsonstringThis column contains geometric data in GeoJSON format, which represents the spatial data related to the row.
geom_geotextstringThis column holds geometric data in plaintext format, further detailing the spatial attributes of each row.
geom_typestringThis column specifies the type of the geometric data contained in the row.
geom_centroidstringThis column provides the centroid point of the geometric data associated with each row.
geom_center_xdoubleThis column gives the X-coordinate of the center point of the geometric data.
geom_center_ydoubleThis column gives the Y-coordinate of the center point of the geometric data.
gml_idstringThis is a unique identifier for each row, provided by the source.
kuntastringThis column contains municipality data related to each row.
kuntanrolongThis column holds the municipality number, further identifying each row's regional data.
namnstringThis column includes names, potentially of regions or other geographical entities, related to each row.
nimistringThis column also contains names associated with each row, potentially differing from those in the 'namn' column.
objectidlongThis is an integer identifier provided by the source for each row.
pinta_alalongThis column contains data on area size, potentially related to the geographic entities associated with each row.
posti_aluestringThis column holds postal area data relevant to each row.
vuosilongThis column records the year related to each row's data.

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Additional Information

Last updated November 11, 2024
Created November 11, 2024
License No License Provided
Geographic coverage
Geographic granularity
Temporal coverage from
Temporal coverage to
Temporal coverage to
Countryfi
Databasefi_tilastokeskus
Extract date2024-11-11
Id16acbe43-1a85-4063-85cf-b672a0c60ba0
Package id09e9dc95-4581-4230-b05a-0db73c9a1f51
Position1
Revision id660c64ae-2de7-4014-9359-9e9dcbc89604
Stateactive
Tablepostialue_pno_meri_2022__table__history