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CSV / Excel to Scatter plot

Scatter Plot Maker

Compare two numeric fields and inspect outliers. UChartX adds correlation hint, trend line note, and outlier markers, then lets you audit and export the result.

  1. 1Upload DataPaste, upload, or load a sample
  2. 2Check & DescribeReview fields and data quality
  3. 3VisualizeChoose and refine the chart
  4. 4Publish & ExportCheck context and download
Chart ready

Loaded sample: Product usage metrics as CSV

Chart maker5 rows96/100 score
Browser-side processingNo account requiredUse small, non-sensitive datasets

Steps 1-2

Upload and check data

CSV or pasted tableUse a header row followed by one row per item. Commas, tabs, and copied spreadsheet rows are accepted.Month,Revenue Jan,12400 Feb,13850
Field inspectorOverride a type when the automatic detection is wrong.
5rows
3fields
100%filled
0issues
5 parsed row(s)

Product usage metrics gives Scatter Plot Maker a different data shape for checking recommendations, controls, and exports.

Step 3

Visualize

Preview: Scatter

Exports use report 1200x800 with the current title, source note, chart view, and watermark.

Chart viewChoose a view for this preview.

Scatter: Compare two numeric fields across rows.

uchartx.com

Publish & Export checksTitle readySource note readyScatter preview selected
Feature: categoryActivation: numberRetention: percent
Input shapeCSV / Excel

relationships between numeric measures

What this page addscorrelation hint, trend line note, and outlier markers

Compare two numeric fields and inspect outliers.

Export decisionScatter plot / PNG / SVG

Avoid this workflow for single metric rankings.

Use case

Scatter Plot Maker workflow

Scatter Plot Maker is for relationships between numeric measures. It works with product adoption, activation, and retention metrics, adds correlation hint, trend line note, and outlier markers, and keeps the preview, checks, and exports tied to the data you entered.

From input to export

  1. Start with the product sample or paste your own CSV, Excel data.
  2. Map two numeric fields and look for clusters or outliers.
  3. Use labels only when they clarify important points.
  4. Export Scatter plot, PNG, SVG after the checks explain any remaining context or readability issues.

When to use

  • Use Scatter Plot Maker when you need to inspect relationships between numeric fields.
  • It is a good fit for relationships between numeric measures.
  • It works best when your data resembles product adoption, activation, and retention metrics.

When not to use

  • Do not use this workflow for single metric rankings.
  • Do not publish the result until title, unit, source, and export size have been reviewed.
  • Use another chart preview when the recommendations explain a better fit.

Controls that matter

  • Map fields before reading the chart.
  • Choose a chart type from the preview controls.
  • Add title and source context before export.

Input and method

  • The parser normalizes rows into a browser-side table and never requires an account.
  • Field detection classifies product adoption, activation, and retention metrics into number, date, category, or text fields.
  • The chart logic checks scatter fit against the detected fields and the current page task.
  • The score combines data readiness, field mapping, chart fit, labels, accessibility, and scatter plot export readiness.

Checks before export

  • Using Scatter Plot Maker with data that is better suited to single metric rankings.
  • Exporting before adding a clear title, unit, or source note.
  • Ignoring the page limit: this workflow is not intended for single metric rankings.
  • Treating the score as approval instead of reviewing the specific fixes.

Export options

  • PNG and SVG exports use the current scatter plot preview and selected size.
  • Markdown and mini report exports include title, source note, detected fields, score, and fixes.
  • HTML, JSON config, clean CSV, and alt text are available from the secondary export panel when data is valid.

Output limits

  • Very large datasets should be summarized before using this browser-side tool.
  • Avoid this workflow for single metric rankings.
  • Image-only chart recognition, cloud storage, and collaborative editing are not part of this version.
  • Generated summaries should be reviewed before publication.

Related tools

Bar Chart MakerTop N ranking, horizontal toggle, and axis label auditLine Chart Makerdate detection, moving average, and max/min highlightsPie Chart Makerslice warnings, Other grouping guidance, and bar chart fallback

FAQ

What data works best with Scatter Plot Maker?

Scatter Plot Maker works best with clean product adoption, activation, and retention metrics that includes headers and enough rows to inspect relationships between numeric fields.

How do I know the chart is readable?

Review labels, category count, axis units, and whether the chosen chart supports the reader task.

Does UChartX upload my data?

Core chart creation runs in the browser. Avoid pasting private or regulated datasets into any web tool.

Can I export from Scatter Plot Maker?

Yes. This page supports the relevant export options listed for the tool: Scatter plot, PNG, SVG.