Statistics Bureau Service Interface (WFS): Comprehensive Data Tables Collection
Source
Tilastokeskus
Description
The dataset collection in question is a compilation of related data tables sourced from the 'Tilastokeskus' (Statistics Finland) website. This collection comprises multiple tables, each of which represents a distinct year. The information within these tables is organised into columns and rows, facilitating easy data analysis and interpretation. The content of these tables is provided by the WFS service interface of Statistics Finland, ensuring a high level of accuracy and reliability. The data covers a range of years, providing a comprehensive overview of the subject matter over time. This collection is a valuable resource for those looking to conduct in-depth analysis or research in the relevant field. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).
Keywords
No keywords
Regional Administrative Agency Areas (Scale 1:1,000,000) - Data Table
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Description
The table under consideration belongs to a dataset collection named 'Tilastointialueet_avi1000k'. It comprises of a diverse set of columns that carry a rich variety of data, including specific geographic information, identifiers and names, among other elements. The table is sourced from the website of 'Tilastokeskus' (Statistics Finland) in Finland.
One of the key components of the table is the geographic information contained in several columns, all beginning with the prefix 'geom_'. These contain various forms of geographic details such as geographic coordinates, which are presented using the WGS 84 coordinate reference system. The axis order for these coordinates follows the structure: longitude first, followed by latitude. This geographical data is particularly valuable for geospatial data analytics, allowing for comprehensive location-based studies and investigations.
The table also contains special columns '_extract_date' and '_row_number'. These serve as unique identifiers for each row, with the former containing the date of extraction of data from the source, and the latter carrying the row number of the extracted data. This combination of extract date and row number ensures that each row can be accurately and uniquely identified.
The table's contents are described as 'AVI-areas (1:1 000 000)', indicating that the data contains information about different AVI areas. This is further reinforced by the columns 'avi', 'id', 'name', 'namn', 'nimi', and 'vuosi', which carry identifiers, names in different languages, and years respectively.
This table can serve as a valuable foundation for various data analytics applications. For instance, the geographic data can be utilized to conduct regional analyses or to study spatial patterns. The identifiers and names can be used to cross-reference with other datasets for more comprehensive insights. Moreover, the year column could be used for temporal or longitudinal studies as well. Furthermore, the extract date and row number can be used to track the evolution of the data over time.