How to Make a Column Chart in Google Analytics

Creating a column chart is one of the most fundamental ways to visualize your website data, helping you quickly compare performance across different categories like traffic channels, countries, or campaigns. While Google Analytics 4 uses column charts automatically in many of its standard reports, the real power lies in building your own custom visualizations. This tutorial will walk you through finding the default column charts and then show you how to build a custom one from scratch to answer your specific business questions.

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Finding Column Charts in Standard GA4 Reports

Most of the built-in reports inside Google Analytics show your data as either a time-series line graph or a column chart (sometimes called a bar chart) by default. These are fantastic for getting a high-level overview of your data without any setup.

Here’s how to find and interact with them:

1. Navigate to the Reports section using the left-hand navigation menu.
2. Go to any standard report, such as Acquisition > Traffic acquisition.
3. You'll immediately see two visual cards at the top. The top one is usually a line chart showing trends over time, and the bottom one is a column chart comparing performance by category (in this case, Session default channel group).

This default column chart instantly shows you which channels are driving the most users. You can hover your mouse over each column to see the exact number of users associated with that channel. While you can't heavily customize these standard charts, they are great for quick, at-a-glance analysis of your primary metrics.

Changing the Metric in a Standard Report Chart

While the dimensions are fixed in these charts, you can often change the metric being displayed. For example, in the Traffic acquisition report, the chart shows "Users" by default. You can change this to another metric like "Sessions" or "Conversions."

1. Find the dropdown menu at the top of the chart (it will likely say "Users").
2. Click the dropdown and select another metric from the list, like Sessions.
3. The column chart will automatically update to reflect the new metric, now showing you which channels drive the most sessions instead of users.

These reports are useful, but they only answer the most common questions. What if you want to see data in a way that GA4 doesn’t show by default? For that, you need to head over to the Explorations section.

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Why You Need Custom Charts in GA4 Explorations

Standard reports are great for common questions, but they are intentionally rigid. You are limited to the dimensions and metrics Google has pre-selected for that report. What happens when you want to answer a very specific question, like:

• Which blog posts drove the most conversions from organic search last quarter?
• How did user acquisition from our top five countries compare month-over-month?
• What is the breakdown of mobile vs. desktop users for our holiday email campaign?

Answering these questions requires combining specific dimensions, metrics, and filters that aren't available together in any standard report. This is why Google Analytics created the Explore section. Explorations provide a flexible, free-form canvas where you can build custom reports and visualizations - including column charts - using almost any combination of data you can think of.

This is where you move from passively consuming data to actively analyzing it.

Step-by-Step Guide: Making a Custom Column Chart in Explorations

Let’s build a custom report from the ground up. For this example, we’ll create a column chart that shows the total number of users by channel, broken down by device type (desktop, mobile, tablet).

Step 1: Get Started in the Explore Section

In the left-hand navigation sidebar, click on Explore. This will open up your Explorations hub. You can choose from several templates or start fresh.

Click on the Blank exploration to start with a clean slate.

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Step 2: Name Your Exploration and Select "Free form"

First, give your exploration a descriptive name. At the top left, click "Untitled Exploration" and change it to something like "User Acquisition by Channel and Device." Being specific now will save you a headache later when you have dozens of saved reports.

The interface is divided into three main panels:

• Variables: This is where you'll import the dimensions and metrics you want to use in your report.
• Tab Settings: This is where you'll configure your actual chart by dragging and dropping your variables.
• The Canvas: The large empty space on the right is where your column chart will appear.

By default, GA4 selects the "Free form" technique, which is perfect for building tables and most chart types.

Step 3: Import Your Dimensions and Metrics

Before you can build the chart, you need to tell GA4 which building blocks you plan to use. You do this by importing dimensions and metrics into the Variables panel.

Importing Dimensions:

Dimensions are the qualitative attributes of your data - the "what" or "who" (e.g., Channel, Country, Device Category).

1. In the Variables panel, next to Dimensions, click the plus sign (+).
2. A pane will slide out with all available dimensions. You can use the search bar to find what you need.
3. Search for and check the box next to Session default channel group.
4. Search for and check the box next to Device category.
5. Click the blue Import button in the top right.

You'll now see these dimensions listed in the Variables panel, ready to be used.

Importing Metrics:

Metrics are the quantitative measurements - the "how many" or "how much" (e.g., Users, Sessions, Revenue).

1. In the Variables panel, next to Metrics, click the plus sign (+).
2. Search for and check the box next to Total users.
3. Click the blue Import button in the top right.

Now you have "Session default channel group," "Device category," and "Total users" available to build your report.

Step 4: Build the Column Chart

This is where it all comes together. We’ll use the Tab Settings panel to configure the chart.

1. Under "Technique," make sure "Free form" is selected.
2. Look for the set of icons under "Visualization." The default is a table. Click the column chart icon (the one with vertical bars). Your canvas will update to show a blank chart area.
3. Now, drag and drop the dimensions and metrics you imported earlier from the Variables panel into the appropriate fields in the Tab Settings panel:

As soon as you drop the metric, the canvas will populate with a column chart showing your total users broken down by their acquisition channel. It’s already providing a valuable visual insight!

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Step 5: Add a Second Breakdown for a Stacked Column Chart

Want to go deeper? Let's see which devices users are on within each channel. This is done by adding a second dimension, which will turn your simple column chart into a stacked column chart.

1. In the Variables panel, find the Device category dimension.
2. Drag it from the Variables panel and drop it into the Breakdown field, right on top of "Session default channel group."

Your chart will instantly transform. Each channel's column is now subdivided and color-coded by device category (desktop, mobile, and tablet). Hovering over any colored segment will now show you the specific count of users for that channel and device type. This is incredibly powerful for spotting trends, like a specific channel having an unusually high number of mobile users.

Step 6: Fine-Tune and Analyze Your Chart

Your chart is built, but you can refine it even further using the options in the Tab Settings panel:

• Date Range: Click the date range at the top of the Variables panel to analyze a different time period. You can choose from presets like "Last 90 days" or set a custom range.
• Filters: Want to exclude certain channels or only look at data from a specific region? Drag a dimension to the "Filters" box at the bottom and define your rules (e.g., "Country" exactly matches "Canada").
• Number of Bars: If you have many categories, you can limit the number of columns displayed. In the Tab Settings panel, under the Breakdown dimension, you'll see a dropdown that says "Show: 10." You can change this to 5, 25, or another number to focus on your top performers.

Best Practices for Effective Column Charts

Now that you know how to make a column chart, here are a few simple rules to make sure your visualizations are clear and easy to understand.

• Keep It Readable: Avoid cramming too many categories into a single chart. If you have more than 10-12 different channels or pages, the chart becomes cluttered. Use a filter or limit the number of bars to your top 10.
• Start Vertically: Column charts are best when the labels for the categories are short (like "Organic Search," "Paid Search," etc.). If you have very long labels (like full URLs or long campaign names), switch the visualization to a bar chart (horizontal bars) for better readability.
• Use Stacked Charts Purposefully: Stacked column charts are excellent for showing a part-to-whole relationship (e.g., device breakdown within a channel). However, they can get confusing with too many segments. Try to limit the breakdown to 3-5 sub-categories for clarity.

Final Thoughts

Google Analytics 4 provides default column charts in standard reports for quick overviews, which is a great starting point. The real analytical depth, however, comes from building custom charts in the Explorations section, allowing you to slice and dice your data to answer nuanced questions that standard reports can't.

We know that digging into tools like GA4's Explorations can still feel like a chore, requiring you to hunt for the right dimensions and metrics. With Graphed, we've automated this process entirely. You simply connect your Google Analytics account, and then ask in plain English: "Show me a column chart comparing total users by channel for last quarter, broken down by device." Our AI builds the live, interactive visualization for you in seconds, saving you from the manual work of building reports so you can focus on finding and acting on insights.