Geospatial Data Analysis: Detailed Land Mapping and Attribute Information

The table in question is a part of a larger dataset collection, sourced from the Swedish website, 'Lantmäteriet'. This table is unique in its composition, containing a myriad of columns with a special emphasis on two particular ones: one that denotes the date of data extraction and another that indicates the row number in the extracted data. These two columns work together to uniquely identify each row in the table. The table's data format is noteworthy, as it originates from a geometric location and attribute information storage format known as shapefile. This format is typically used for storing geographic features, which can be represented as points, lines or polygons. In this dataset, the original shapefile format has been transformed into the final geographic format. The data in this table could be instrumental in data analytics in several ways. For instance, the unique identifiers could be used to track changes in the data over time, providing valuable insights into temporal trends. The geographic information could be utilized in spatial analyses, potentially aiding in tasks such as land use planning or environmental impact assessments. Furthermore, the extraction date could be used to monitor the frequency and timing of data updates, which could be crucial in maintaining the accuracy and relevancy of analyses.