Exploring Data Driven Styling on Google Maps Platform

Data-driven styling provides much easier access to the most commonly desired geographies for aggregating and visualizing data. Users can now use tabular data associated with these geographic boundaries for visualization purposes. For example, with Data Driven styling, crime data, public health data, or census demographic data can be visualized by Zipcode.

Even better: Google manages the administrative boundary data for you, removing the need for you to purchase, update, and maintain boundary data yourself.

Join Google Maps, Google Maps Platform Partner AppGeo, and Carahsoft to explore this latest feature from Google Maps Platform and more. We share examples especially relevant for our government audience looking to take advantage of this new feature. 

In this on-demand webinar, you will learn:

• The latest functionality added on Google Maps Platform

• Where and how data driven styling can be implemented

• Our advice for getting started with Data Driven Styling

• Our key tips for working with statistical and geographic data