2020 Postal Area Data Structure

The table under examination is a part of a larger dataset collection and is primarily dedicated to geographical information, specifically related to postal code regions in Finland. The data originates from the Finnish statistical authority, 'Tilastokeskus' (Statistics Finland). The table encompasses a variety of columns, each bearing crucial data.

Two of these columns are '_extract_date' and '_row_number'. The former column holds the date when the data was extracted, while the latter indicates the row number in the extracted data, making each row unique when combined.

The table prominently features geographical data columns, those beginning with 'geom_', which contain a wealth of geographical information useful for geospatial data analytics. This includes the geographical shape of the region, the type of geographical shape, and the geographical center. The geographical coordinates are based on the WGS 84 coordinate reference system, with longitude given before latitude.

Beyond the geographical data, the table also incorporates columns that hold administrative details, such as the unique identifier ('gml_id'), municipality number ('kunta', 'kuntanro'), the Finnish and Swedish names of the region ('nimi', 'namn'), and the postal code area ('posti_alue'). Furthermore, the table includes information about the surface area of the region ('pinta_ala') and the year the data refers to ('vuosi').

The diverse information presented in this table can be leveraged for various data analytics purposes. For instance, one could analyze population distribution across postal regions in Finland or compute the correlation between the surface area of a region and the number of postal codes. Additionally, the geographical data facilitates the creation of detailed visual maps for better spatial understanding of the data.