How 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.
Paste X/Y pairs or load delimited data, inspect correlation and R-squared, and export the plot without uploading the data.
Paste data or load a local CSV/TSV file. The file stays in this browser tab.
Create a chart to inspect the parsed data.
Review the source structure, chart-specific interpretation risks and a copyable accessible summary. The chart itself remains the primary workspace above.
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.
Expose r, slope, intercept, R² and the largest residual so the trend line has inspectable numbers behind it.
| Point | X | Y | Predicted Y | Residual |
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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.
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.
Scatter plots show paired numeric observations and optionally a linear trend.
Review X/Y validity and repeated X structure; the accessible summary reports r and R² when a linear fit is defined.
Use the interactive product above first. These notes add interpretation, verification and limits below the results and product controls.
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.
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.
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.
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.
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.