Free scatter plot graph maker
From messy data to beautiful graphs in a click.
Graphy is the fastest way to tell stories with data.
Scatter plot templates
Start with one of our pre-made palettes or create a scatter plot from scratch.
Use cases
When to use a scatter plot graph
Scatter plots are the best way to spot correlations, trends, and outliers when comparing two sets of numbers.
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FAQ
What are common mistakes when interpreting scatter diagrams?
The most common mistakes when interpreting scatter plots are: (1) assuming correlation means causation - just because two variables move together doesn't mean one causes the other, (2) ignoring outliers that can skew your interpretation, and (3) seeing patterns in random data, especially with small datasets. To avoid these errors, focus on the overall trend rather than individual points, consider external factors that might influence both variables, and use statistical measures like correlation coefficients to validate visual patterns. Always remember that scatter plots show relationships, not necessarily cause-and-effect.
Does a scatter plot have to start at 0?
No, scatter plots do not have to start at zero. Unlike bar charts, scatter plots focus on showing relationships between variables rather than comparing absolute values. Starting axes at zero can actually hide important patterns if your data clusters in a specific range. The best practice is to choose axis ranges that clearly display your data's relationship. However, always label your axes clearly and consider including zero if it provides meaningful context for your analysis.
How do you tell if a scatter plot is strong or weak?
A strong scatter plot relationship shows points clustered tightly around a clear pattern (line or curve), while a weak relationship appears as a loose cloud of scattered points with no obvious direction. You can measure strength using the correlation coefficient (r-value): values near +1 or -1 indicate strong relationships, while values near 0 indicate weak relationships.
When should I use a scatter plot instead of a bar chart?
Use scatter plots when comparing two continuous numerical variables (like height vs. weight or temperature vs. sales). Use bar charts when comparing categories or showing totals (like sales by region or revenue by product). The key difference: scatter plots reveal relationships and correlations between variables, while bar charts compare quantities across different categories. If both your variables can have any numerical value and you want to see if they're connected, choose a scatter plot.
Can I create a scatter plot with code instead of the visual editor?
Yes. With Graphy's chart API you can describe your scatter plot in code (your data plus how you want it to look) and render it in your own app. Don't want to write that yourself? Just describe the scatter plot you want in plain English to our Agents API, and it'll generate it for you, ready to render.