What is a Symbol Map in Tableau?

Symbol maps in Tableau turn geographic data into a clear story, placing symbols on a map to represent specific locations. The real power comes from encoding these symbols with more data - adjusting their size, color, or shape to reveal patterns at a glance. This article will walk you through exactly what a symbol map is, how to build one step-by-step in Tableau, and how to customize it to effectively communicate your insights.

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What is a Symbol Map in Tableau (And When to Use One)?

A symbol map is a type of map visualization that places a symbol, like a circle or a square, over a specific geographic location. Unlike a filled map (or choropleth map) which colors an entire region like a state or country, a symbol map is used to show data related to precise points. Think of it as putting pins on a map board, where each pin can tell you something extra.

The magic of a symbol map is its ability to visualize multiple layers of information at once. The location itself is one layer, but you can use other visual cues to add more context:

• Size: You can tie a quantitative measure, like sales or revenue, to the size of the symbol. Larger circles could mean higher sales, while smaller circles mean lower sales.
• Color: Color can represent another measure (like profit margin) or a categorical dimension (like product category or sales region). You could use a color gradient from red to green to show profitability or use different colors for each business segment.
• Shape: You can even use different shapes to represent different categories. For example, you might use a star for your top-performing stores and a circle for all others.

This makes symbol maps incredibly versatile. They are an excellent choice when you want to:

• Show sales performance by individual store locations or cities.
• Visualize the concentration of customers in specific zip codes.
• Map out distribution centers and size them based on inventory levels.
• Track incident reports or service calls at precise geographic coordinates.

Preparing Your Data for Mapping

Before you jump into Tableau, the quality of your map depends entirely on the quality of your data. Tableau is smart, but it needs clear geographic information to work with. Here's what you need to have in order.

Geographic Fields and Roles

Your dataset must contain fields that Tableau recognizes as geographic locations. These could be columns for:

• Country
• State / Province
• City
• County
• Zip Code / Postal Code

When you connect your data, Tableau will usually recognize these fields automatically and assign them a geographic role, indicated by a small globe icon next to the field name in the Data pane. If it doesn't, you can assign it manually. Just right-click the field, go to "Geographic Role," and select the appropriate role (e.g., City, State).

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Latitude and Longitude Coordinates

For recognized locations, Tableau automatically generates latitude and longitude coordinates. However, if you need more precision - for instance, mapping specific street addresses or custom locations - you can include latitude and longitude columns directly in your data. If you have fields named "Latitude" and "Longitude," Tableau will typically use those to plot your points, giving you exact placement control.

A simple, well-prepared dataset might look like this:

Store ID, City, State, Country, Sales, Profit 1001, New York, New York, USA, 250000, 45000 1002, Los Angeles, California, USA, 180000, 22000 1003, Chicago, Illinois, USA, 150000, -5000 1004, Houston, Texas, USA, 210000, 38000

How to Create a Symbol Map in Tableau: A Step-by-Step Guide

Once your data is ready, creating a basic symbol map is a wonderfully straightforward process in Tableau. Let's walk through it using the sample data concept from a moment ago.

Step 1: Connect to Your Data Source

Open Tableau and connect to your data file (e.g., Excel workbook, CSV, or a server). Once loaded, your data fields will appear in the Data pane on the left side of your worksheet.

Step 2: Generate the Map

Find your primary geographic field - let’s use State. Double-click the State field. Tableau's "Show Me" feature is smart enough to know this is a geographic field and will automatically generate a map. It places a mark on each state present in your data. It also generates Latitude (generated) and Longitude (generated) pills on the Rows and Columns shelves, respectively.

Step 3: Change the Mark Type

By default, Tableau might create a filled map. To turn it into a symbol map, go to the Marks card. Click the dropdown menu that likely says "Automatic" or "Map" and select "Circle" or "Shape" instead. You'll now see a small circle over each state instead of the state itself being colored in.

Step 4: Bring Your Data to Life with Size and Color

This is where your map goes from just showing locations to delivering insights. Add size based on a measure: Drag a quantitative measure, like Sales, from the Data pane and drop it onto the Size property on the Marks card. Immediately, the circles on your map will resize. The states with higher sales will have larger circles, and states with lower sales will have smaller ones. Add color based on another measure: Now, let's see which of these states are most profitable. Drag another quantitative measure, like Profit, and drop it onto the Color property on the Marks card. Tableau will apply a default color gradient, for example, profitable states might be blue, while unprofitable states are orange. You've now created a map that shows sales volume (size) and profitability (color) for each state, all in one view.

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Customizing Your Symbol Map for Maximum Impact

Your symbol map is functional, but a few customizations can make it presentation-ready and much easier for your audience to understand.

Fine-Tuning Symbol Size and Appearance

The default sizes might make your map look cluttered, especially if some symbols are very large or they overlap. Click on the Size property on the Marks card. A slider will appear, allowing you to increase or decrease the overall size of all symbols. You can also click the dropdown in the legend to edit the size range for better visual distinction.

Choosing Meaningful Colors

Color is one of the most powerful tools in data visualization. Click on the Color property on the Marks card, then click "Edit Colors." Here you can choose from dozens of color palettes. For something like Profit, a diverging palette (like Red-Green Diverging) is perfect because it naturally shows positive and negative values. For a measure like Sales that only goes in one direction, a sequential palette (like Blue Sequential) is more appropriate.

Using Custom Shapes

Instead of circles, why not use a more descriptive shape? If you change your mark type to "Shape," you can click the Shape property on the Marks card to choose from a library of defaults like stars, squares, or triangles. For an even more professional touch, you can add your company's logo or custom icons. Simply save the image files you want to use into the "Shapes" folder within your "My Tableau Repository" directory on your computer, and they’ll be available as a custom shape palette.

Making Tooltips More Informative

A tooltip lets you see the details behind each symbol. When you hover over a mark, a small box appears. By default, it will show the fields you've used in the view. You can customize this by dragging any other field from the Data pane onto the Tooltip property on the Marks card. Dragging State, Sales, and Profit there will ensure when a user hovers, they see a clean summary: State: California, Sales: $180,000, Profit: $22,000. You can click the Tooltip property to edit the text, add formatting, and create dynamic sentences for a more polished user experience.

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Symbol Map vs. Filled Map: Which Should You Choose?

A common point of confusion is when to use a symbol map versus a filled (choropleth) map. While both display geographic data, they answer different types of questions.

A Filled Map is ideal for showing data where the value applies to an entire region, like population density or per-capita income by state. However, it can sometimes be misleading. For example, a large state like Montana with low sales volume would be colored brightly and dominate the map visually, creating a false impression of its importance. This is known as the area-bias problem.

A Symbol Map solves this problem. A small circle on Montana accurately represents its low sales volume, regardless of its geographic size. This map type is perfect when your data relates to specific points rather than broad regions. If you are showing store locations, customer addresses, or regional offices, a symbol map is almost always the better choice.

Final Thoughts

Symbol maps are a fantastic way to represent geographic data in Tableau, offering an intuitive method for visualizing specific locations while layering on rich, quantitative detail through size and color. By following these steps and best practices, you can create compelling, insightful maps that clearly communicate trends and help you make better, data-driven decisions without clutter or confusion.

That said, even simple reports in powerful BI tools can take time to build, especially when you're connecting and wrangling a dozen different Marketing or Sales platforms. If you need to answer pressing questions about your business performance without the steep learning curve, that’s why we built Graphed to help. We connect directly to your data sources - like Google Analytics, Shopify, Salesforce, and Facebook Ads - and use AI to build dashboards and reports for you in seconds. You just describe what you want to see in simple, natural language, and we build it for you, giving you back time to focus on acting on your data instead of just chasing it down.