AI chart maker

Reveal patterns across a matrix with an AI-generated heatmap

Transform row and column categories into a color-coded matrix. ExcelDashboard AI can aggregate each cell, select an appropriate sequential or diverging scale, label important values, and explain clusters or exceptions.

Create a heatmapFree to start · No credit card required
  • Upload Excel or CSV
  • Editable chart output
  • No code required

Generated chart

Heatmap Maker

Editable

Why it matters

When to use a heatmap

Scanning a two-dimensional matrix for intensity, concentration, seasonality, correlation, or unusual combinations.

Avoid a heatmap when exact values are the primary message, the matrix is extremely sparse, or colors imply a midpoint or order that the metric does not have.

Capabilities

What you can do with AI Heatmap Maker

Purpose-fit chart selection

The AI can pivot long-form data into a matrix, choose sequential or diverging colors, set a meaningful midpoint, and keep missing cells visually distinct from zero.

Explicit data mapping

Row and column dimensions plus one numeric measure or count for each intersection, with explicit aggregation and missing-value treatment.

Aggregation you can review

Specify sums, averages, counts, rates, time intervals, and filters so the values behind the visual remain inspectable.

Editable reporting output

Refine titles, labels, colors, annotations, and chart type, then reuse the visual in a dashboard or report.

How it works

Go from source data to a useful result in three steps

  1. 1

    Upload or paste the data

    Start with Excel, CSV, or a table and confirm that headers, numeric values, categories, and dates were interpreted correctly.

  2. 2

    Describe the comparison

    Row and column dimensions plus one numeric measure or count for each intersection, with explicit aggregation and missing-value treatment. Explain the audience and the question the chart should answer.

  3. 3

    Validate and refine the chart

    Check the values, labels, scale, and filters. Avoid a heatmap when exact values are the primary message, the matrix is extremely sparse, or colors imply a midpoint or order that the metric does not have.

Common use cases

Built around real reporting work

Time patterns

Compare activity by weekday and hour, or performance by month and category.

Segment performance

Scan product-region, channel-campaign, or team-metric combinations for strengths and gaps.

Correlation overview

Display a correlation matrix while preserving labels and a centered diverging scale.

Example prompts

Try a request like this

“Create a heatmap of order volume by weekday and hour, using zero for valid empty periods and blank for missing data.”
“Build a product-by-region margin heatmap with a diverging scale centered at the target margin.”
“Generate a correlation heatmap for numeric columns and label only strong positive or negative relationships.”

Frequently asked questions

Questions about AI Heatmap Maker

What is a heatmap maker?+

It is a tool that turns supplied data into a heatmap and lets you refine the visual without manually configuring every chart setting.

When should I use a heatmap?+

Scanning a two-dimensional matrix for intensity, concentration, seasonality, correlation, or unusual combinations.

What data do I need?+

Row and column dimensions plus one numeric measure or count for each intersection, with explicit aggregation and missing-value treatment.

When is another chart type better?+

Avoid a heatmap when exact values are the primary message, the matrix is extremely sparse, or colors imply a midpoint or order that the metric does not have.

Can I edit the generated chart?+

Yes. Review the data mapping first, then adjust the chart type, titles, labels, colors, annotations, and surrounding report content.

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Start with your own data

Upload a spreadsheet or describe the result you need. Build the first useful draft with AI, then review and refine it.

Create a heatmap