✦ Free Online Tool

Free Scatter Plot Maker & Generator

Create professional scatter graphs in seconds. Enter your XY data, customize colors, add trend lines, and export as PNG, SVG, or CSV — no registration needed.

100%Free Forever
PNG/SVGExport Options
Real-timeLive Preview
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Live Tool

Scatter Plot Generator

Enter data points, customize your chart, and see results instantly.

# X Value Y Value Label
0 data points loaded — click Generate Chart to render
Show Trend Line (Linear Regression)
Show Point Labels
Show Legend
Show Grid Lines
Smooth Animation
Show Tooltips

Add data and click Generate Chart

Or click Load Sample to try it out

Features

Everything You Need in a Scatter Plot Tool

Powerful features designed to make data visualization fast, accurate, and beautiful.

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Live Real-time Preview

See your scatter graph update instantly as you type data, adjust colors, or toggle options. No page reloads, no delays.

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Linear Trend Line

Automatically compute and overlay a least-squares regression line to identify data trends and correlations with a single click.

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Full Customization

Control point size, color, shape, opacity, background, grid, fonts, axis labels, and more — create your exact visual style.

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Export PNG, SVG & CSV

Download your scatter plot as a high-resolution PNG for presentations, SVG for scalable web use, or CSV to share raw data.

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Statistical Insights

Instant calculation of Pearson correlation coefficient, mean values, X/Y ranges, and data point count directly in the tool.

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Mobile Friendly

Fully responsive design — create and customize scatter plots seamlessly on any device, from smartphones to widescreen monitors.

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Input Validation

Real-time input validation highlights invalid or missing data before rendering, preventing errors and ensuring chart accuracy.

High Performance

Built on Chart.js with deferred script loading, the tool renders thousands of data points smoothly without slowing your browser.

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100% Free, No Login

No account, no subscription, no watermarks. Create unlimited scatter plots completely free — your data never leaves your browser.

How It Works

Create a Scatter Plot in 4 Easy Steps

No data science degree required — our intuitive interface guides you from raw numbers to a polished chart in under a minute.

Enter Your XY Data

Type or paste X and Y values into the data table. Each row is a single data point. You can also load sample data for a quick demo, or add optional point labels for each coordinate.

Customize Your Chart

Switch to the Style tab to adjust point color, size, shape, and opacity. Configure axis labels and ranges in the Axes tab. Toggle trend line, labels, and animation in the Advanced tab.

Generate Your Scatter Plot

Click the Generate Chart button. Your scatter plot renders instantly with smooth animation. Live statistics including Pearson correlation are calculated automatically below the chart.

Download or Share

Export your finished scatter graph as PNG for documents and slides, SVG for crisp scalable graphics, or CSV to share the underlying data with collaborators.

What Is a Scatter Plot? — Complete Guide to Scatter Graphs

A scatter plot (also called a scatter graph, scatter chart, or XY diagram) is one of the most powerful and widely used tools in data visualization and statistical analysis. It displays values for two numeric variables as individual dots plotted on a Cartesian coordinate system — the horizontal axis represents one variable (X), and the vertical axis represents another (Y). Each data point in a scatter plot corresponds to a single observation, making patterns, clusters, and outliers immediately visible to the viewer.

Scatter plots are particularly valuable for identifying correlations between variables. A positive correlation — where both X and Y values increase together — produces a dot cluster running from the lower-left to the upper-right. A negative correlation runs from upper-left to lower-right, and no correlation produces a random cloud of points. Researchers and analysts add a linear regression trend line to quantify this relationship, and the Pearson correlation coefficient (r) mathematically measures its strength from −1 to +1.

Real-world scatter graph examples appear in virtually every discipline. In medicine, scatter plots compare drug dosage against patient recovery rates. In economics, they reveal the relationship between advertising spend and revenue. In education, teachers use them to explore the link between study hours and test scores. Climate scientists plot temperature against CO₂ levels, and sports analysts chart player performance metrics to identify talent trends.

Our free Scatter Plot Generator makes it effortless to create publication-quality scatter charts directly in your browser. Simply enter your X and Y data pairs, choose your visual style, and hit Generate. You can add a trend line, adjust point sizes and shapes, label individual points, and set custom axis ranges — all in real time. When satisfied, export your scatter plot as PNG or SVG for use in reports, presentations, research papers, or websites, or download the raw data as a CSV file.

Whether you are a student completing a statistics assignment, a scientist analyzing experimental data, a business analyst preparing a board deck, or a developer prototyping a dashboard, our online scatter plot maker gives you a professional result in seconds — completely free, with no sign-up and no watermarks.

FAQ

Frequently Asked Questions

Everything you need to know about our Scatter Plot Maker.

Scatter plots are used to visualize the relationship between two numeric variables. They help identify correlations, clusters, trends, and outliers in data. Common uses include scientific research, statistical analysis, business intelligence, and academic studies.
Enter your X and Y data values in the table above, set your chart title, customize colors and point style, then click Generate Chart. Your scatter plot renders instantly. Use the export buttons to download as PNG, SVG, or CSV.
A trend line (or line of best fit) is a straight line calculated using linear regression that best represents the direction and strength of the relationship between your two variables. Enable it using the Trend Line toggle in the Advanced tab.
The Pearson correlation (r) measures the linear relationship strength between X and Y. A value near +1 means strong positive correlation, near −1 means strong negative correlation, and near 0 means little or no linear relationship.
Yes! After generating your chart, click the PNG button to download a high-resolution image, or SVG for a scalable vector format ideal for web and print. You can also download the raw data as CSV.
No. All data processing happens entirely in your browser using JavaScript. No data is sent to our servers. Your information stays private on your device at all times.
A scatter plot shows individual data points to reveal relationships between two variables without connecting them. A line chart connects sequential data points to show trends over time or ordered categories. Scatter plots are better for correlation analysis; line charts for time series.
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