How to use Elastic Maps to make public datasets observable

Elastic Maps can be utilized to create visual dashboards from public datasets, such as Berlin's bicycle theft data, to enhance data observability. The process involves downloading the dataset, uploading it to Kibana via its integrated function, and altering certain data mappings to suit visualization needs. Users can visualize theft occurrences across different regions, known as Lebensweltlich Orientierte Räume (LOR), by using geospatial data available in GEOJSON format. The tool allows for easy data manipulation, such as calculating the sum of bicycle values and applying filters to highlight specific data points, like the prevalence of stolen cargobikes. Elastic Maps enables the creation of dynamic and visually appealing dashboards that leverage the speed and capabilities of vector maps, offering users an opportunity to explore public data effectively.