2022 Crime Scene Areas: Geospatial Data with Attributes

The table under discussion is a structured collection of related data, derived from the 'Lantmäteriet' website in Sweden. This table forms part of a larger dataset, which is a collection of multiple related tables. The data in this particular table consists of several distinct columns, each containing specific information. Special attention should be given to two unique columns: one containing the extraction date of the data and the other specifying the row number for the extracted data. The combination of these two columns allows for the unique identification of each row in the table, providing a robust method for data tracking. Additionally, this table contains geographic information, which has been transformed from a shapefile format into a final geographic format. Shapefile is a simple format used for storing the geometric location and attribute information of geographic features, which can be represented by points, lines, or polygons.

The information in this table could be utilized in various ways for data analytics. For instance, the extraction date data can be used to analyze trends over time, allowing for temporal comparisons of geographic features. The geographic information, which includes details about the geographic location and attributes of features, can be used in spatial analysis or in the creation of geographic information system (GIS) applications. Additionally, the unique identification of each row enables in-depth, row-level analysis, useful for tracking changes in individual geographic features over time. Furthermore, the table's data could be used in machine learning algorithms for predictive modeling, or in data visualization tools to create comprehensive maps and charts.