◆ Using record maps
A record map visualizes the distribution and trends of location-based data where each record is mapped to a unique position (boundary/region, or point-location). Additional visualization features, such as color and size, can show non-spatial data, enabling cross-analysis of data trends with geography to identify hot spots and spatial trends.
To aggregate data and measure trends over categorical regions of a dataset, see using categorical charts.
Learn how to quickly add a record map into the dashboard.
Adjusting record map visualizations
A record map uses location, color, (and optionally size) to visualize each record.
Navigating record maps
With panning and zooming, you can change your focus in location analysis.
Point & Cluster Maps
Keshif automatically creates point clusters if records have point locations, and enables rich integrated visual analytics features.
Using Time-Series Data
Learn about location analysis of data over time.