Version History of Municipalities 2023 (1:4 500 000) Table

The 'table__history' is a vital constituent of the dataset collection 'tilastointialueet_kunta4500k_2023'. This table serves as a historical record, holding the version history of the base table rows. The base table, sourced from 'Tilastokeskus' (Statistics Finland), is titled 'Kunnat 2023 (1:4 500 000)', translated to English as 'Municipalities 2023 (1:4 500 000)'. The table compiles essential information about the municipalities of Finland, including geographical data and identifiers.

The table's unique identifier is a combination of the '_start_date' and '_row_number' columns, with the former indicating the date the row was extracted from the data source and the latter representing the row's number in the raw data. The '_end_date' column signifies when a new version of the row was extracted, with a null value indicating the most recent version.

The table also contains a wealth of geographical data, prefixed with 'geom_', which can be utilized for geospatial data analytics. The 'geom_type' column denotes the type of geographic shape, while 'geom_centroid', 'geom_center_x', and 'geom_center_y' provide the geographic center of the shape. 'geom_geojson' and 'geom_geotext' provide detailed geographical coordinates, all presented using the WGS 84 coordinate reference system, with axis order longitude first, followed by latitude.

The 'gml_id' column is an identifier associated with the source data, while 'kunta' represents a municipal code. The table also includes the names of the municipalities in various languages, embodied in the 'name', 'namn', and 'nimi' columns. The 'vuosi' column represents the year, in this case, 2023.

Given its contents, the table could be exploited for a variety of data analytics purposes. For instance, it could be used to track changes in municipality borders over time, or to analyze the geographical distribution of municipalities in Finland. The historical aspect of the data could also be used to predict future changes in the municipalities. Furthermore, the geographical data could be utilized to create detailed maps or geospatial models.