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Examples Privacy Start with CSV

CSV / Excel to Heatmap

Heatmap Maker

Turn two dimensions and a value into a color matrix. UChartX adds pivot table builder and color scale audit, 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: Website traffic by channel 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)

Website traffic by channel gives Heatmap Maker a different data shape for checking recommendations, controls, and exports.

Step 3

Visualize

Preview: Heatmap

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

Chart viewChoose a view for this preview.

Heatmap: Scan dense multi-metric differences.

uchartx.com

Publish & Export checksTitle readySource note readyHeatmap preview selected
Channel: categorySessions: numberConversions: percent
Input shapeCSV / Excel

correlation, calendar, and matrix views

What this page addspivot table builder and color scale audit

Turn two dimensions and a value into a color matrix.

Export decisionHeatmap / PNG / SVG

Avoid this workflow for precise value reading without labels.

Use case

Heatmap Maker workflow

Heatmap Maker is for correlation, calendar, and matrix views. It works with traffic channels, acquisition mix, and conversion signals, adds pivot table builder and color scale audit, and keeps the preview, checks, and exports tied to the data you entered.

From input to export

  1. Start with the traffic sample or paste your own CSV, Excel data.
  2. Load a sample that resembles your data shape.
  3. Review detected fields and recommendations before export.
  4. Export Heatmap, PNG, SVG after the checks explain any remaining context or readability issues.

When to use

  • Use Heatmap Maker when you need to scan dense two-dimensional values.
  • It is a good fit for correlation, calendar, and matrix views.
  • It works best when your data resembles traffic channels, acquisition mix, and conversion signals.

When not to use

  • Do not use this workflow for precise value reading without labels.
  • 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 traffic channels, acquisition mix, and conversion signals into number, date, category, or text fields.
  • Numeric fields are arranged against the detected category field to reveal dense value patterns.
  • The score combines data readiness, field mapping, chart fit, labels, accessibility, and heatmap export readiness.

Checks before export

  • Expecting exact value reading from color alone without labels or a table preview.
  • Exporting before adding a clear title, unit, or source note.
  • Ignoring the page limit: this workflow is not intended for precise value reading without labels.
  • Treating the score as approval instead of reviewing the specific fixes.

Export options

  • PNG and SVG exports use the current heatmap 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 precise value reading without labels.
  • 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 Heatmap Maker?

Heatmap Maker works best with clean traffic channels, acquisition mix, and conversion signals that includes headers and enough rows to scan dense two-dimensional values.

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 Heatmap Maker?

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