ELY Areas 2020 at Scale 1:1,000,000 - Detailed Geospatial Dataset

The table, belonging to the dataset collection 'tilastointialueet_ely1000k_2020', holds a wealth of data related to the 'ELY-areas 2020' (1:1 000 000) in Finland. Every row in the table represents a specific ELY area, with each column providing detailed information about it.

The table contains columns that provide geographical information, such as 'geom_geojson', 'geom_geotext', 'geom_type', 'geom_centroid', 'geom_center_x', and 'geom_center_y'. These columns hold data in the form of geographic coordinates, geographical shapes, and types. This data, presented using the WGS 84 coordinate reference system, with axis order longitude first, followed by latitude, is particularly useful for geospatial data analytics.

Other columns in the table provide unique identifiers for each row ('gml_id', 'id'), the name of the ELY area in different languages ('name', 'namn', 'nimi'), and the year for which the data is relevant ('vuosi'). These columns can be leveraged for data analytics tasks such as trend analysis, geographical distribution studies, and multilingual data processing.

The table also contains two special columns: '_extract_date' and '_row_number'. The '_extract_date' column indicates the date the data was extracted from the source, and the '_row_number' provides the row number in the data extracted on that date. These columns are crucial for tracking data changes over time and uniquely identifying each row.

The data in this table, sourced from 'Tilastokeskus' (Statistics Finland), can be used in various ways in data analytics. For instance, the geographic information could be used to visualize the distribution of ELY areas across Finland. Moreover, the '_extract_date' column could be used to track changes in the ELY areas over time, providing valuable insights into geographical trends and patterns. The multilingual names of the ELY areas could also be utilized to build language-aware data applications.