Geospatial and Object Related Data Collection for Land Survey

The table in question is part of a larger dataset collection and originates from the website of Lantmäteriet (The Land Survey) in Sweden. This table carries a rich variety of data organized in a structured manner across multiple columns and rows.

The data within the table is uniquely identified by a combination of two special factors: the date of data extraction and the row number from the extracted data. This distinctive pairing ensures that each row of data can be precisely pinpointed and managed.

One of the key features of this table is its geographic information, which initially comes in a shapefile format. Shapefiles are a straightforward method for storing the geometric location and attribute information of geographic features, with the ability to represent features as points, lines, or polygons (areas). The geographic data in this table has been transformed from its original shapefile format into a final geographic format, further enhancing the table's utility and accessibility.

The table's potential applications in data analytics are extensive. For instance, it could be instrumental in spatial analysis, where the geographic data can be used to identify patterns or anomalies across different locations. The date of data extraction could be used in trend analysis, tracking changes and developments over time. The data could also be vital in predictive modeling, where various factors could be analyzed to forecast future scenarios or outcomes. Overall, the table provides a robust and dynamic resource for a wide range of data analytics pursuits.