Geo with Makers Chart
In this article, we will explain how to create and customize a geo with markers. So let's get started!
Last updated
In this article, we will explain how to create and customize a geo with markers. So let's get started!
Last updated
Here is the GitBook-compatible documentation for the Geo Chart with Markers based on the screenshots and configuration details you provided:
The Geo Chart with Markers visualization in Infinity allows you to map data points geographically using bubbles. Each bubble's color and size can represent specific metrics—perfect for visualizing patterns like population distribution, temperature variance, or economic indicators across regions.
Start by describing the intent of your analysis. For example:
Choose whether you want to upload a new file (Excel, CSV) or use an existing dataset from your workspace.
You can search or scroll through previously uploaded files.
Select the relevant dataset that includes both geographic and metric data.
Configure the essential columns for the chart:
Geography: Contains country, city, state, or metro names.
Bubble Color: Metric to represent via color (e.g., population, temperature).
Bubble Size (optional): Metric to determine the bubble’s size.
Set the scope of the map using:
Region Type: World, Continent, Sub-continent, US, Country.
Region Name: Specific geographic zone (e.g., Africa, Asia).
Resolution: Country, State, or Metro.
Use the Advanced Editor to fine-tune your chart.
Modify how the data is visualized on the map.
Choose marker styling, borders, colors, and label visibility.
Head into Advanced Options to style key components:
Chart Background
Tooltip Appearance
Legend Customization
Geo Display Settings
This lets you align the map’s look and feel with your analytical or presentation needs.
Once your chart looks the way you want:
Add a descriptive title.
Click SAVE to store the chart in your workspace.
Use recognizable geography names to ensure accurate mapping.
Keep metric values normalized for better visual differentiation.
Combine bubble size and color only when it adds insight—avoid overwhelming users with too many variables.
