Statistical Region Data Collection 4500k
Source
Tilastokeskus
Description
The dataset collection in question includes a series of related data tables which originate from the Statistics Finland (Tilastokeskus) website, based in Finland. The collection contains numerous tables that encompass a variety of years, providing a comprehensive and chronological perspective of the data. The data in this collection is sourced from the Statistics Finland's service interface (WFS). Therefore, the dataset collection provides a rich source of statistical data, collated and organized into tables, offering a detailed exploration of specific areas over a range of years. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).
Keywords
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Version History of Municipalities (Scale 1:4,500,000)
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Description
The 'table__history' is a rich and comprehensive history table, capturing the version history of its base table rows. The table is part of a larger dataset collection, providing in-depth insights into the municipalities of Finland, as sourced from 'Tilastokeskus' (Statistics Finland).
This table comprises a variety of columns, each serving a unique purpose. For instance, the '_start_date' and '_end_date' columns represent the time span for which a specific version of a row remained valid. The '_row_number' column is used to identify each row uniquely in combination with '_start_date'. If '_end_date' is null, it indicates that the row is the most recent version.
Notably, the table includes several 'geom_' prefixed columns which hold geographic information. This can be utilized for geospatial data analytics, presenting geographic coordinates using the WGS 84 coordinate reference system, with the axis order of longitude first, followed by latitude.
The table also includes a number of other columns that capture detailed information about each municipality, such as its name, ID, and specific geographic details.
The data in this table can be utilized in various ways for data analytics. For instance, the geographic data can be used to perform spatial analysis and create detailed geographic visualizations of the municipalities. The version history can be leveraged to track changes over time, potentially revealing trends or patterns related to the municipalities. Furthermore, this data could also be combined with other socio-economic data to perform comprehensive, multifaceted analyses of Finland's municipalities.