WebToolArcHow to read this chart
Scatter plots show paired numeric observations and optionally a linear trend.
Before publishing
Review X/Y validity and repeated X structure; the accessible summary reports r and R² when a linear fit is defined.
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Chart Tools
Scatter Plot Maker
Paste X/Y pairs or load delimited data, inspect correlation and R-squared, and export the plot without uploading the data.
Data & chart settings
Paste data or load a local CSV/TSV file. The file stays in this browser tab.
ReadyEverything is processed locally in your browser.
Preview
Create a chart to inspect the parsed data.
Data readiness & publication review
Reviewing…Check the data before you export
Review the source structure, chart-specific interpretation risks and a copyable accessible summary. The chart itself remains the primary workspace above.
Findings
Accessible chart summary
Reviewing the current data…
This review checks structure and common interpretation risks; it does not prove that the source data, measurement method, denominator, units or conclusion are valid.
Correlation, regression & residual audit
Expose r, slope, intercept, R² and the largest residual so the trend line has inspectable numbers behind it.
| Point | X | Y | Predicted Y | Residual |
|---|
Pearson r and least-squares regression describe linear association; they do not establish causation and can be distorted by outliers.
Export fidelity & reproducibility audit
Cross-check the current source rows against the rendered SVG, visible labels, chart marks, accessibility metadata and SVG/PNG export surface. This complements the existing data-readiness review; it does not prove the source data or conclusion is correct.
Create or refresh the chart above, then run this fidelity audit.
Independent browser-local evidence. Export fidelity does not validate the measurement method, units, denominator or interpretation.
Core data-to-chart workflows
Start with Graph Maker or CSV Chart Maker, then use a focused chart type when the visual question changes. Keep source data and export evidence connected instead of treating a rendered picture as the only record.
Graph MakerGeneral pasted-data chart workspaceLine Graph MakerOrdered change and multi-series trendsBar Graph MakerCategory comparison and sortingPie Chart MakerParts of one meaningful totalScatter Plot MakerX/Y relationships and trendlineGantt Chart MakerTask schedules across datesRadar Chart MakerMulti-axis profile comparisonCSV Chart MakerCSV/TSV import and chart switching
Practical guide and verification
Use the interactive product above first. These notes add interpretation, verification and limits below the results and product controls.
Start with the plotted points before trusting a trend line
A regression line can look persuasive even when the relationship is curved, clustered or dominated by one extreme point. Inspect the scatter itself and the residual evidence before summarizing the relationship with one slope.
Correlation does not establish a causal direction
A strong linear association can arise from common causes, selection effects or coincident trends. Keep chart language descriptive unless the study design supports a causal claim.
Axis labels and units are part of the data story
A scatter plot without clear units makes slope and scale hard to interpret. Label both axes with the measured quantity and unit, and avoid cropped scales that make ordinary variation appear dramatic.
Export the source data with the chart when reproducibility matters
The SVG or PNG preserves the visual, while the source export preserves exact values. Keep both for reports or QA so another reviewer can reproduce the plot and regression result instead of reverse-engineering points from pixels.
Check influential points rather than deleting them automatically
An outlying point may be an error, a rare but valid observation or the most important case in the dataset. Investigate its source and compare the fit with context before excluding it to improve the correlation.