Chart tools
Public tool

Reveal relationships between two variables with a scatter chart.

Give Vizify your paired x/y values and the relationship you're checking. It returns a scatter plot brief with axes, grouping, and point labels built around correlation, clusters, or outliers.

Plots every paired point on its own x/y position, no binning Groups or color-codes points by category when you provide one Surfaces correlation, clusters, or outliers without inventing a trend line
Start with the messy versionOptional choices help Vizify shape the handoff.
Try a starting point

Your brief and choices open in Vizify for review. Nothing runs until you send it.

You give

Paired X and Y values for every point

Units or labels for each axis

Optional group or category for color-coding points

Audience and the relationship you're testing

Vizify hands back

Scatter plot structure (MakeCharts scatter format)

Axis and annotation plan

Generation-ready chart prompt

What it does

Built to hand back finished work.

Vizify

Routed through Vizify's MakeCharts scatter format

A scatter chart isn't a native Mermaid diagram type, so Vizify routes it through MakeCharts' scatter format and confirms that format is still available before generating.

Vizify

Built around your analysis question

Set the focus to correlation, clusters, outliers, or distribution, and axis scale, grouping, and point emphasis are shaped around what the audience needs to notice.

Vizify

Honest about what it does not calculate

Vizify preserves every point, axis, and label exactly as supplied. It does not fit or draw a regression line or compute a correlation coefficient — say so explicitly if you need that analysis elsewhere.

Vizify

Continue with the context intact

The complete brief opens in Vizify, where you can generate, review, revise, and save the work without rebuilding the prompt.

FAQ

Questions, answered.

What data do I need to make a scatter chart?

A list of paired x/y values — one pair per point — with a label or unit for each axis. Add an audience and the relationship you're checking; rough notes or a pasted table both work.

Is a scatter chart the same as a scatter plot?

Yes. Scatter chart and scatter plot are the same visual — individual points positioned by two values, one on each axis, with no line connecting them by default.

Can I plot more than two variables on a scatter chart?

Position on a scatter chart is driven by exactly two values, x and y. You can add a third dimension as a group or category shown through point color or label, but encoding a third numeric value as point size is a different chart type (a bubble chart), not this one.

Does this calculate a trend line or correlation coefficient?

No. Vizify plots the points you supply as they are and does not fit a regression line or compute a correlation coefficient. If you need that statistical analysis, run it separately and describe the result in your brief rather than expecting the chart to derive it.

How many data points can a scatter chart show clearly?

Scatter charts handle dense data better than most chart types — a few dozen to a few hundred points usually stays readable. Beyond that, mention whether you want every point plotted or a representative sample, since heavy overlap can hide the pattern.

Can I group or color-code points by category?

Yes. Add a group or category label to each point in your brief, such as a customer segment or test cohort, and Vizify colors and labels the groups so the pattern within and between them stays visible.

Should I use a scatter chart or a line chart for this data?

Use a scatter chart when you're testing whether two variables are related and neither one is a time or sequence axis. Use a line chart when one axis is genuinely ordered, like dates — try line-chart-maker for that case.

Does Vizify use Mermaid or MakeCharts to render the scatter chart?

MakeCharts. A scatter chart isn't one of Mermaid's native diagram types, so this tool routes through MakeCharts' scatter format and checks that it's still available in the current chart schema before generating.

Can I label specific points, like outliers or notable cases?

Yes. Name the points you want called out in your brief — such as a specific customer, test case, or date — and Vizify includes them as labeled annotations rather than leaving them as anonymous dots.

What happens if one of my values is missing for a data point?

A scatter chart needs both an x and a y value for every point. Say which points are incomplete so Vizify can drop or flag them instead of guessing a placeholder value that would misrepresent the data.

Do I need an account to create a scatter chart?

No. You can prepare the brief here without an account. Sign in to Vizify when you want to generate, save, or reuse the chart.

Can I save and reuse the chart and its data later?

Yes. In Vizify you can save the artifact, prompt, and underlying data points, then adapt them for a later report or update the same chart with new values.

What makes a good scatter chart brief

List your data as paired x/y values with a clear unit or label for each axis, and name the relationship you’re checking — does one value tend to rise with the other, fall, or show no pattern at all. If some points belong to a category worth distinguishing, such as a segment or cohort, include that label alongside each pair.

Common scatter chart mistakes to avoid

Avoid submitting values with a missing x or y for some points — an incomplete pair can’t be plotted accurately. Avoid expecting a trend line or correlation coefficient to appear automatically; this tool plots what you give it and does not run statistical analysis. And avoid overloading one chart with more than a handful of unlabeled groups, since color-coding stops helping once there are too many categories to distinguish at a glance.

Scatter chart vs line chart — picking the right layout

Use a scatter chart when you’re checking whether two variables move together, like ad spend and signups, and neither axis is inherently ordered. Use Line Chart Maker when one axis is a real sequence, such as dates or release numbers, and you’re tracking a trend over that sequence rather than a relationship between two independent measures.

Start with the rough version

Create your next scatter chart in Vizify.

Open Vizify