◆ Using record maps

A record map visualizes the distribution and trends of location-based data, where each record is mapped to a unique location (as a boundary, region, or point). Using additional features such as color and size can display other attributes of your data, enabling cross-analysis of data trends with geography to identify hot spots and spatial trends.

Watch below for a quick demo of a range of visual analysis features with record maps.

To aggregate data and measure trends using categorical regions of a dataset, see our article on 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 adjust the focus of your location analysis.

Point & Cluster Maps

Keshif automatically creates point clusters if records have point locations, and enables rich integrated visual analytics features with dynamic clustering of points.

Using Time-Series Data

Analyze your data over time in the record.