Historical Version Records of Subregions 2013 (1:4 500 000)

The 'table__history' is a version history table belonging to the 'tilastointialueet_seutukunta4500k_2013' dataset collection. It stores historical data related to 'Seutukunnat 2013 (1:4 500 000)', a Finnish dataset that translates to the 'Regions of 2013 (1:4 500 000)'. This table holds a wealth of information with a focus on geographic details, making it an invaluable resource for geospatial data analytics. The data is sourced from 'Tilastokeskus' (Statistics Finland), a web-based data source based in Finland.

The table comprises a variety of columns, each containing unique data elements. Key among them are '_start_date' and '_end_date', which record the dates of data extraction and update respectively. The '_row_number' column designates the row number in the raw data, and together with '_start_date', these columns form a unique identifier for each row. If the '_end_date' value is null, it indicates the row contains the most recent version of the data.

Geographic information is recorded in several columns which start with 'geom_'. These columns hold geographic coordinates, presented using the WGS 84 coordinate reference system, with longitude appearing first, followed by latitude. These include 'geom_geojson' and 'geom_geotext', which contain detailed geographic information in GeoJSON and GeoText formats respectively. 'geom_type' signifies the type of geographic data (e.g., multipolygon), while 'geom_centroid', 'geom_center_x', and 'geom_center_y' provide specific geospatial coordinates.

Other columns include 'gml_id', which holds a unique identifier for each region, and 'name', 'namn', and 'nimi', which provide the name of the region in different languages. The 'seutukunta' column provides an area code for the region, and 'vuosi' indicates the year of data collection, which in this case is 2013.

This rich collection of data can empower various data analytics tasks. For instance, it can be used to track changes in regional boundaries over time, or to analyze geographic trends and patterns. Further, it can aid in creating detailed maps or visual representations of the regions, or in performing in-depth regional studies considering historical shifts.