Paavo Postal Code Areas (Extending to Sea Areas) - 2022 Edition

The table in question is a part of a larger dataset collection and contains a comprehensive set of information related to postal zones extending to sea areas for the year 2022, sourced from 'Tilastokeskus' (Statistics Finland). The data provides various geographic details, which are vital for conducting geospatial data analytics. The geographical coordinates are presented using the WGS 84 coordinate reference system, where the longitude is presented first, followed by the latitude.

The table includes a variety of columns, providing specific information. For instance, the table includes columns providing geographic information in different formats, such as GeoJSON and GeoText. These columns offer a valuable resource for mapping and visualizing the data geographically. A column is dedicated to the type of geographic data presented, which can be useful in specifying the visualization tools used.

Moreover, the table captures the centroid of the geographic data, which can be used to find the center point of the geographic area. Additional columns present the x and y coordinates of this center point, which can aid in location pinning on maps.

The table also contains columns with specific identification numbers for each postal zone, which can be used to cross-reference with other tables or datasets. The table also includes columns that contain the names of the postal zones in different languages, which can be useful in international communication and localization efforts.

The table features two special columns, namely '_extract_date' and '_row_number'. The '_extract_date' column records the date when the data on the row was extracted, while the '_row_number' column records the row number of the data extracted on that date. Together, these two columns provide a unique identifier for each row, ensuring that each row represents a unique data extraction instance.

The data in the table can be utilized in a multitude of ways. For example, it can help in understanding the spatial distribution of postal zones, enabling efficient route planning for logistics and delivery companies. Furthermore, the detailed geographical data can assist urban planners in infrastructure development and planning. Lastly, the table could be used by researchers to study population distribution and urbanization trends.