2017 Regional Statistics Data Collection
Source
Tilastokeskus
Description
The dataset collection under discussion is a compilation of related data tables, sourced from the Finnish website 'Tilastokeskus' (Statistics Finland). These tables, containing data structured in rows and columns, are connected by a common theme. The description provided by the data source, 'Tilastokeskuksen palvelurajapinta (WFS)', translates to 'Statistics Finland's service interface (WFS)'. This indicates that the data within these tables is likely to be statistical in nature, possibly related to various sectors and demographics within Finland. Each table within this dataset collection is meticulously curated to ensure relevance and coherence, thereby providing a comprehensive view of the theme they represent. 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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Regions 2017 (1:4 500 000) - Organized Data Collection
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Description
The table, a part of the 'tilastointialueet_seutukunta4500k_2017' dataset, contains detailed geospatial data, specifically pertaining to the 2017 Regional Units at a scale of 1:4 500 000. This intricate data, sourced from the 'Tilastokeskus' website in Finland, offers a wealth of information suitable for a variety of data analytics. It encompasses unique identifiers for each data row along with the date of data extraction, and a range of geographic details that can be leveraged for geospatial data analytics.
For instance, the columns beginning with 'geom_' house geographic coordinates and types, such as 'geom_geojson', 'geom_geotext', 'geom_type', 'geom_centroid', 'geom_center_x', and 'geom_center_y'. These fields provide data in formats like GeoJSON and GeoText, with geographic types clearly identified, along with centroid and center coordinates. All geographic coordinates are presented using the WGS 84 coordinate reference system, with longitude first, followed by latitude.
In addition, the table contains columns that identify the name of the region in various languages, including 'name', 'namn', and 'nimi', and the year of data as 'vuosi'. The column 'seutukunta' provides a specific regional code.
In terms of data analytics, this table could be instrumental in various ways. For instance, the geospatial data can be used to create detailed maps, analyze regional trends, or identify patterns in data distribution across different regions. The data can also be used to track changes over time, leveraging the '_extract_date' and 'vuosi' fields. The multi-language name fields can be used to create region-specific analytics in various languages.
Finally, the special column '_extract_date' provides the date when the data was extracted, and '_row_number' gives the row number in the extracted data. Together, these columns uniquely identify each row in the table, offering a reliable way to reference specific data points.