Scatter Plot Maker

Create scatter plots directly in your browser. Free tool with automatic correlation coefficient calculation, regression lines, and 4-quadrant matrix support.

How to Use
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Visualize correlation and distribution between two variables

Plot two variables to analyze correlations and data distributions directly in your browser. Supports pasting from Excel or spreadsheets, automatic calculation of correlation coefficient (r) and R², linear regression trendlines, 4-quadrant positioning matrices, and trajectory lines. Export finished charts as transparent PNGs or copy directly to your clipboard.

How to Create a Scatter Plot
STEP1

Enter Data

Enter X and Y coordinates. Assign item labels or group names to categorize points by color, or paste table data directly from Excel.

Chart data input screen example
STEP2

Configure Analysis & Styles

Enable correlation diagnostics, draw regression lines, set up 4-quadrant crosshair divisions, and customize color themes or marker shapes.

Analysis and design customization screen example
STEP3

Save & Copy Image

Download your scatter plot as a PNG image or copy it to the clipboard to paste into PowerPoint or Word. Mobile devices can share directly via the system share menu.

Save and copy chart image screen example
Key Features

Automated Correlation & Regression

Calculates correlation coefficient (r) and R² dynamically while rendering regression trendlines on top of your data.

Excel Paste & Ready Templates

Paste raw spreadsheet data or load pre-built templates to start plotting.

4-Quadrant Positioning Matrix

Segment charts into four strategic zones using mean-value or origin crosshairs with customizable quadrant labels.

Direct Clipboard Copy & Transparent PNG

Export high-resolution PNGs with transparent backgrounds or copy directly to your clipboard for slide decks.

Axis Swapping & Scale Control

Swap X and Y axes with one click, or set manual minimums, maximums, tick intervals, and custom axis units.

Data Labels & Trend Trajectories

Display item names on individual points, or connect points with lines to illustrate sequential trends.

Practical Applications

Analyzing Correlation Between Two Variables

Evaluate potential relationships between metrics such as advertising spend and revenue or temperature and foot traffic.

Competitive Positioning & Market Maps

Map products across price and quality axes to present strategic competitive positioning.

Experimental Data & Trajectory Tracking

Plot observation points and connect them sequentially to communicate progression and experimental variance.

Frequently Asked Questions (FAQ)
Does this tool calculate correlation coefficients and trendlines automatically?
Yes. Pearson's correlation coefficient (r) and the coefficient of determination (R²) are computed in real time alongside automated regression lines and mathematical formulas.
Can I paste data directly from Excel or Google Sheets?
Yes. Click 'Paste from Excel' to import tab-delimited or comma-separated table data with automatic column structure detection.
Can I color-code points across multiple categories?
Yes. Enable 'Color by Group' to plot different categories with distinct colors, marker styles, and dedicated legend items.
Can I connect data points with lines to track sequential trends?
Yes. Under 'Connect Points', choose straight or curved lines to visualize time-series trajectories and experimental paths.
Can I create a 4-quadrant positioning matrix?
Yes. Draw crosshair reference lines centered on mean values or custom thresholds, with customizable area labels across all four quadrants.
Can I swap the X and Y axes?
Yes. Click the 'Swap Axes' button to transpose X and Y values with one click without reselecting data columns.
Can I display labels or item names on individual data points?
Yes. Enter item names in the label column and enable 'Data Labels' to display names, coordinates, or both directly on each point.
How do I read a scatter plot and interpret the correlation coefficient (r)?
Examine the spread of data points alongside Pearson's correlation coefficient (r). Values near +1 show an upward positive correlation, values near -1 show a downward negative correlation, and values near 0 show no linear relationship. The tool provides an automatic interpretation badge.
Why Use Boost Tool

Analyze data correlations without installing software. Includes automated correlation metrics, regression formulas, 4-quadrant matrix division, and direct spreadsheet copy-pasting. Generated graphics are free to use for business presentations, academic reports, and commercial projects.

Create your scatter plot now

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