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Scatter plot maker
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Explore the relationship between two numeric variables
Understanding scatter plot
Plot paired X and Y values as points to reveal patterns, clusters, gaps, and unusual observations. Paste two numeric columns, style the plot, and export it in the format you need.
A scatter plot places each observation according to two numeric variables: one on the X axis and one on the Y axis. Unlike a line chart, the points are not connected in row order; their position is the message.
Scatter plots are useful for exploring association, spotting clusters and outliers, and checking whether a relationship looks linear, curved, weak, or absent before you make stronger statistical claims.
Use this chart when
- Each observation has two numeric measurements.
- You want to inspect association, clustering, spread, or outliers.
- The numeric spacing of both axes matters.
Choose another chart when
- The horizontal field is a set of named categories; use a bar chart.
- You only have one numeric variable and want its distribution; use a histogram or box plot.
- You want to imply a sequence between rows; use a line chart for ordered observations.
Prepare your data
- 01Use two numeric columns: one for X and one for Y.
- 02Each row becomes one point, so keep paired measurements on the same row.
- 03Vizvero scales X and Y independently and does not force either axis to zero, preserving detail in the observed ranges.
Four-step workflow
How to make a scatter plot in Vizvero
- STEP 1
Paste paired X and Y data
Add two numeric columns directly in the grid or import them from CSV.
- STEP 2
Set labels and axes
Add chart copy and choose whether to show coordinates, grid lines, and axes.
- STEP 3
Tune point styling
Apply a theme, palette, background, font, and point size.
- STEP 4
Animate or export
Stagger points in data order for presentation, or export the final plot as PNG, SVG, or MP4.
Make the chart easier to read
- Do not interpret visible association as proof of causation.
- Use enough point contrast to see overlaps without making each marker oversized.
- Coordinate labels can help small datasets but quickly become cluttered on dense plots.
- Check unusual points before removing them; an outlier can be an error or the most interesting observation.
From data to finished asset
Designed themes
Change typography, spacing, geometry, axes, background, and palette without rebuilding the chart.
Static and animated export
Export the same chart scene as PNG, true vector SVG, or frame-rendered MP4.
Browser-first workflow
Editing and chart rendering happen in the browser, so you can work without creating an account.
Frequently asked questions
What data do I need for a scatter plot?
You need paired numeric X and Y values. Every row should contain the two measurements for one observation.
Does a scatter plot show correlation?
It can reveal the visual pattern of association, but a chart alone does not calculate or prove a statistical correlation or causal relationship.
Should scatter plot axes start at zero?
Not necessarily. Vizvero uses data-driven numeric domains so the spatial pattern in the observed range remains visible.
Can scatter points be animated?
Yes. Points can grow together or appear with staggered timing and can be exported to MP4.
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