◆ 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.


Creating a record map

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.