How to Connect Data Points in Google Sheets

Connecting data points is less about drawing lines and more about telling a story. When your data sits in rows and columns, it's just a collection of facts, but when you visually link those points in a chart, you can suddenly see trends, spot relationships, and uncover insights that were hiding in plain sight. This guide will walk you through exactly how to create meaningful connections between your data points in Google Sheets using common charts like line, scatter, and combo charts.

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First Things First: Prepare Your Data for Success

Before you create any chart, a little preparation goes a long way. Badly organized data will lead to frustrating charts that don't make sense. Follow these simple rules to set yourself up for an easy win:

• Keep it Simple: Structure your data in clean columns with a clear header in the first row of each. For most charts, you'll be working with two or three columns at a time.
• Label Clearly: Give your columns descriptive headers like "Date," "Website Visitors," "Ad Spend," or "Daily Sales." This isn't just for you, Google Sheets uses these headers to automatically label your chart's axes.
• Use Consistent Formats: Make sure all the data in a column is the same type. A column for dates should only contain dates, and a column for revenue should only contain numbers. Inconsistent data is the fastest way to get an error message from the chart editor.

With clean data, you’re ready to start connecting the dots.

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Method 1: Using a Line Chart to See Trends Over Time

A line chart is the perfect tool when you want to see how a metric changes over a period. It's ideal for tracking website traffic, monthly sales, user sign-ups, or any data with a time-based component. Each point on the line represents a value at a specific moment, and the connecting line shows you the journey - is it going up, down, or staying flat?

Example: Tracking Monthly Website Visitors

Let's say you're a content marketer and you want to visualize your website's traffic growth over the past six months. Your data looks like this:

Step-by-Step Instructions:

1. Select Your Data: Click and drag your cursor to highlight the cells containing your data, including the headers (in our example, a range like A1:B7).
2. Insert the Chart: Go to the Google Sheets menu and click Insert > Chart. Google Sheets is pretty smart and will usually default to a line chart when it sees a column of dates or time-based labels. If it doesn't, don't worry.
3. Choose the Chart Type: If Google Sheets picked the wrong chart, the Chart editor sidebar will open on the right. Under the "Setup" tab, find the "Chart type" dropdown menu and select "Line chart."
4. Customize for Clarity: You'll now have a basic line chart. To make it more professional, use the "Customize" tab in the chart editor:

Method 2: Using a Scatter Plot to Find Relationships

What if you want to know if two different metrics are related? For example, does spending more on ads lead to more sales? That’s where a scatter plot comes in. It doesn't connect dots with a continuous line—instead, it places a single point on the chart for each row of data, allowing you to see if a pattern or correlation emerges.

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Example: Investigating Ad Spend vs. Revenue

Imagine you run an e-commerce store and want to see if your daily ad spend has a direct relationship with your daily revenue. Your spreadsheet might look like this:

Step-by-Step Instructions:

1. Select Your Data: Highlight both the "Daily Ad Spend" and "Daily Revenue" columns, including their headers.
2. Insert the Chart: Go to Insert > Chart. Google Sheets might default to a line or bar chart here.
3. Choose a Scatter Plot: In the Chart editor sidebar, open the "Chart type" dropdown and select "Scatter chart."
4. Look for Patterns and Add a Trendline: The chart will now show a scatter of points.

To make this even clearer, add a trendline. In the "Customize" tab of the chart editor, find the "Series" section. Scroll down and check the box for "Trendline." A line will immediately appear on your chart, visually representing the overall relationship in your data.

Method 3: Using a Combo Chart for Comparing Different Scales

Sometimes you need to compare two metrics that are measured on completely different scales, like revenue (tens of thousands of dollars) and units sold (hundreds). If you put both on the same line chart, the smaller metric will look like a flat line at the bottom. A combo chart solves this by letting you plot one metric on a left vertical axis and the other on a right vertical axis, combining two chart types into one.

Example: Charting Revenue vs. Units Sold

A B2B SaaS company wants to see how their monthly recurring revenue (MRR) compares with the number of new customers they acquired each month.

Step-by-Step Instructions:

1. Select Your Data: Highlight all three columns (Month, MRR, and New Customers).
2. Insert the Chart: Go to Insert > Chart.
3. Choose a Combo Chart: In the "Chart type" settings, scroll down and select "Combo chart." It usually defaults to plotting both data series as columns, which still isn't quite right.
4. Customize the Series and Axes: This is the key step. Go to the "Customize" tab and open the "Series" section.

You’ll now have a beautiful combo chart showing MRR as columns against the left axis and New Customers as a line against the right axis. This allows you to visually compare the trends of two very different metrics in a single, coherent view.

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Final Thoughts

Mastering line charts, scatter plots, and combo charts in Google Sheets takes you from a data-compiler to a data-storyteller. By choosing the right chart for your question, you transform raw numbers into compelling visual narratives that can guide decision-making and highlight what truly matters in your business or projects.

Even with these powerful tools, pulling data from all your different platforms and keeping your Google Sheets updated can be a drag. We created Graphed to solve this very problem. It connects directly to your marketing and sales tools — like Google Analytics, Shopify, Facebook Ads, and more — and uses AI to build real-time dashboards for you. Instead of spending hours exporting CSVs and tinkering in Sheets, you can just ask a question in plain English like, “Show me a chart of my Shopify sales and Facebook ad spend this month,” and get a live, interactive visualization in seconds.