◆ 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.
Changing colors in a record map
Visualizing record groups by color in a record map
Changing point sizes in a record point & cluster map
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.