We are excited to announce some major improvements to the way you visualize location-based data on maps! Being able to work with real-time data of entities at different locations, on mobile, is a powerful capability for many of our users. That is why since our initial release of location-based querying, we have been gathering feedback from users and thinking about how to improve their experience with map data.
Now, our SwiftQuery editor presents a more intuitive interface for users to query location-based data - by simply dragging and dropping fields. Users can also customize the color and size of each pin’s appearance on the map!
Open up SwiftQuery editor within a data source
Click the drop down for chart types and select “Map” as the chart type
In the above demo, a real estate agent uses Zing to build a mapview of property transactions made in the past month, to be shared with his clients. The agent sets each pin’s color based on the type of property it is: single family home, office, warehouse, etc.; and sizes each pin based on the corresponding property’s transaction price. In doing so, he paints a clear overview for his clients on the recent property market activity.
This is just one out of many use cases, get started and find more details in the docs.