How to Make an Area Chart in Google Sheets

Cody Schneider8 min read

An area chart is an excellent way to visualize how volumes or quantities change over time, showing the relationship of individual parts to the whole. In this tutorial, you’ll learn exactly what an area chart is, when to use one, and how to create and customize them step-by-step in Google Sheets to better tell your data’s story.

GraphedGraphed

Your AI Data Analyst to Create Live Dashboards

Connect your data sources and let AI build beautiful, real-time dashboards for you in seconds.

Watch Graphed demo video

What Exactly Is an Area Chart?

Think of an area chart as a line chart with the space between the line and the horizontal axis filled in with color. This simple addition makes it much easier to see the volume or magnitude of a trend at a glance. Where a line chart emphasizes the rate of change from one point to another, an area chart emphasizes the total quantity.

They are particularly useful when you want to track changes in several related groups that make up a whole category. For example, you could track your total website traffic (the whole) while simultaneously showing the volume of traffic coming from different sources like Organic Search, Social Media, and Direct (the parts).

Google Sheets offers three main types of area charts:

  • Standard Area Chart: Plots each data series on top of one another. The filled areas can overlap, so using transparency is common to ensure all data is visible. This type is best for comparing the volume trends of a few different categories.
  • Stacked Area Chart: Stacks each data series on top of the one below it. This shows how each individual category contributes to the total over time. The top line of the chart represents the sum of all categories.
  • 100% Stacked Area Chart: Similar to a stacked area chart, but it shows the percentage contribution of each part to the whole. The vertical axis always goes up to 100%, making it easy to see shifts in the proportional share of each category rather than their raw volume.

When to Use an Area Chart (and When Not To)

Area charts shine in specific situations but can be misleading in others. Knowing when to use them is just as important as knowing how to build them.

Use an Area Chart For:

  • Visualizing cumulative volume over time: Perfect for showing metrics like sales revenue per quarter, website sessions per month, or units sold per week.
  • Showing a part-to-whole relationship: Stacked and 100% stacked area charts are fantastic for breaking down a total into its components, like market share among competitors or a budget breakdown by department.
  • Comparing a few distinct categories: A standard area chart with two to four distinct categories can clearly illustrate how their trends compare in both volume and rate of change.

Avoid an Area Chart When:

  • You need to show precise values: If readers need to see exact data points (e.g., that sales were exactly $5,432 on Tuesday), a line chart or a bar chart is a better choice. The filled areas can obscure precise values.
  • You have many categories: With too many categories (typically more than five), area charts become a cluttered mess of colors that are impossible to read. This is sometimes called a "spaghetti chart."
  • Your data contains negative values: Area charts don't handle negative numbers well and can create confusing visuals where filled areas cross over the axis. Stick to a line or bar chart for data with both positive and negative values.

Free PDF Guide

AI for Data Analysis Crash Course

Learn how to get AI to do data analysis for you — the best tools, prompts, and workflows to go from raw data to insights without writing a single line of code.

Step-by-Step Guide: Creating an Area Chart in Google Sheets

Let’s create an area chart using a common marketing scenario: tracking monthly website traffic from different sources. We’ll start with a standard area chart.

Step 1: Organize Your Data

Your data needs to be structured in a way that Google Sheets can understand. Typically, this means having your time-series dimension (like dates, months, or years) in the first column and your numerical values (the series you want to plot) in the subsequent columns. Each column will become a colored area on your chart.

Here’s the sample data we'll use. You can copy and paste this into a blank Google Sheet to follow along.

Month,Organic Search,Social Media,Paid Search,Direct
Jan,10200,4500,2800,2100
Feb,11500,5200,3100,2300
Mar,13100,5800,3500,2600
Apr,12800,5500,4200,2400
May,14200,6100,4500,2900
Jun,15500,6800,4800,3200

Step 2: Select Your Data Range

Click on the top-left cell of your dataset (in our example, a cell containing "Month") and drag your cursor down to the bottom-right cell to highlight the entire range, including the headers.

Step 3: Insert Chart

With your data selected, navigate to the main menu and click Insert > Chart.

Google Sheets will often guess which chart type you want. Sometimes it gets it right, but if it doesn't, you'll see the Chart editor pane appear on the right side of your screen where you can make corrections.

Step 4: Choose the Area Chart Type

In the Chart editor pane, on the Setup tab, open the "Chart type" dropdown menu. Scroll down until you find the Area chart options.

Select the first option, labeled simply "Area chart," to create a standard area chart. You’ll immediately see your data visualized. In this view, "Organic Search" is the largest area at the bottom, and other sources are layered on top of it. Depending on the colors, it can be hard to see how the smaller sources are trending.

GraphedGraphed

Your AI Data Analyst to Create Live Dashboards

Connect your data sources and let AI build beautiful, real-time dashboards for you in seconds.

Watch Graphed demo video

Creating Stacked Area Charts

A standard area chart has its uses, but a stacked area chart is often better for this kind of part-to-whole data.

Stay in the Chart editor and under "Chart type," select "Stacked area chart."

Instantly, your chart will change. Now, the traffic sources are stacked on top of each other. This does two brilliant things:

  1. You can still see the trend of each individual source (represented by the height of its colored band).
  2. The top edge of the entire chart now represents your total website traffic for each month.

If you want to focus on the shifting proportions, choose the "100% stacked area chart" instead. This transforms the Y-axis into a percentage scale, showing what percentage of your total traffic each source contributed each month. This is ideal for answering questions like, "Is paid search making up a larger percentage of our traffic over time?"

Customizing Your Area Chart for Clarity

A default chart gets the job done, but a few customizations can make it far more professional and easier to understand. In the Chart editor, click over to the "Customize" tab.

Chart & Axis Titles

The first option is "Chart & axis titles." Use these to give your chart context.

  • Chart title: Change this to something descriptive, like "Monthly Website Traffic by Source."
  • Horizontal axis title: You can often leave this blank if the labels (e.g., Jan, Feb) are obvious, or you could add "Month of the Year."
  • Vertical axis title: Add a label like "Website Sessions" to make it clear what the numbers represent.

Series Formatting

Under the "Series" dropdown, you can change the color of each data series. This is useful for matching your company's brand colors or for creating a logical color flow (e.g., light to dark). You can also adjust the opacity (transparency) of each area fill, which is especially important for standard (non-stacked) area charts to prevent one series from completely hiding others.

Free PDF Guide

AI for Data Analysis Crash Course

Learn how to get AI to do data analysis for you — the best tools, prompts, and workflows to go from raw data to insights without writing a single line of code.

Legend

Under "Legend," you can change the position of the legend (the key that explains which color represents which data series). The "Top" or "Bottom" position often works well for area charts, saving horizontal space for the data itself.

Vertical Axis

Expand the "Vertical axis" section to refine how your numerical values are displayed. You can set minimum and maximum values, apply formatting (like number, currency, or percent), and add a logarithmic scale for data with exponential growth.

Putting It All Together: Best Practices

  • Keep it Simple: The biggest mistake with area charts is trying to show too much information. Stick to 3-5 categories for maximum readability. Any more than that and it becomes overwhelming.
  • Order Logically: For stacked charts, place the largest and most consistent category at the bottom of the stack to create a stable baseline. Place smaller or more variable categories on top.
  • Tell a Story: Your chart title should summarize the key takeaway. Instead of just "Traffic Data," try "Organic Search Drives Majority of Traffic Growth in H1." This helps your audience grasp the insight immediately.
  • Ensure Contrast: Use colors that are distinct enough to be easily differentiated, and add transparency to standard area charts so nothing gets lost behind another series.

Final Thoughts

Creating an area chart in Google Sheets is a straightforward process that can turn rows and columns of data into a compelling visual story about trends and composition over time. By knowing which type of area chart to use and how to customize it effectively, you can produce clear, professional reports from right within your spreadsheet.

Of course, building the chart is only one part of the process. So much time is spent just getting the data ready – exporting CSVs from Google Analytics, Facebook Ads, or Shopify, and then formatting it correctly in the sheet. We created Graphed to remove all that manual data wrangling. By connecting your tools directly, you can ask for a dashboard in plain English, like "show me a stacked area chart of my Shopify sales by channel for the last six months," and get a live, interactive dashboard in seconds, no downloads or copy-pasting required.

Related Articles