The table in question originates from the 'Lantmäteriet' website, located in Sweden. This table forms part of a larger dataset collection. It provides a wide range of data in a structured format, organized into multiple rows and columns. The specifics of each row are uniquely identified by a combination of two key components: the date when the data was extracted and the row number corresponding to that extraction date. Both these columns contribute to the uniqueness of each row.

The table holds geographic information, initially in the shapefile format, a common, straightforward format for storing geometric location and attribute information of geographic features. This information could be represented by points, lines, or polygons (areas). However, in this dataset, the geographic information has been transformed from its original shapefile format to a final geographic format.

This data can be utilized in various ways in the field of data analytics. It can be used to analyze geographic patterns and trends, for instance, understanding the distribution of certain geographic features over time. It can also be employed for predictive modeling, for example, to predict changes in geographic features based on historical data. Furthermore, it can provide valuable insights in environmental studies, urban planning, and infrastructure development.