Geo with Makers Chart

📍 Geo Chart with Markers

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.

🧭 Steps to Create a Geo Chart with Markers

1. Enter Your Prompt

Start by describing the intent of your analysis. For example:

2. Select the Data Source

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.

3. Map the Data Fields

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.

4. Advanced Customization

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.

5. Style the Chart

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.

6. Finalize and Save

Once your chart looks the way you want:

• Add a descriptive title.

• Click SAVE to store the chart in your workspace.

✅ Best Practices

• 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.