AI chart maker

Create a treemap from hierarchical spreadsheet data

Upload Excel or CSV data and describe the hierarchy and measure you want to compare. ExcelDashboard AI can aggregate parent and child categories, size each rectangle by value, add a defensible color measure, and produce an editable treemap with a concise explanation.

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

Generated chart

Treemap Maker

Editable
Product AProduct BProduct C

Why it matters

When to use a treemap

Comparing the relative size of many categories inside a hierarchy, such as product revenue within departments, portfolio value within asset classes, or cost within business units.

Avoid a treemap when exact comparisons between similarly sized values matter, when values can be negative, when there is no meaningful hierarchy, or when labels become unreadable across too many tiny categories.

Capabilities

What you can do with AI Treemap Maker

Purpose-fit chart selection

The AI can aggregate repeated hierarchy paths, preserve parent-child relationships, size rectangles by a non-negative measure, group very small categories, and use color for a distinct metric such as growth or margin rather than decoration.

Explicit data mapping

Provide one or more categorical hierarchy fields and a non-negative numeric size measure. Add a separate color measure only when its meaning and scale are clear, and document aggregation, missing values, and the total denominator.

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

    Provide one or more categorical hierarchy fields and a non-negative numeric size measure. Add a separate color measure only when its meaning and scale are clear, and document aggregation, missing values, and the total denominator. 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 treemap when exact comparisons between similarly sized values matter, when values can be negative, when there is no meaningful hierarchy, or when labels become unreadable across too many tiny categories.

Common use cases

Built around real reporting work

Product portfolio mix

Show revenue, units, or margin by department, category, and product while keeping the full portfolio visible.

Budget and cost structure

Compare spending across divisions, departments, programs, and accounts in one hierarchical view.

Customer or market composition

Explore account value, market size, or demand by region, segment, and customer group.

Example prompts

Try a request like this

Create a treemap of revenue by department, category, and product. Size by revenue, color by gross margin, and group products below 1% as Other.
Build a treemap of operating expense by business unit and cost center, reconcile the total, and flag missing hierarchy values.
Visualize portfolio value by asset class and holding. Use one sequential color scale for year-over-year growth and label only readable categories.

Frequently asked questions

Questions about AI Treemap Maker

What is a treemap maker?+

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

When should I use a treemap?+

Comparing the relative size of many categories inside a hierarchy, such as product revenue within departments, portfolio value within asset classes, or cost within business units.

What data do I need?+

Provide one or more categorical hierarchy fields and a non-negative numeric size measure. Add a separate color measure only when its meaning and scale are clear, and document aggregation, missing values, and the total denominator.

When is another chart type better?+

Avoid a treemap when exact comparisons between similarly sized values matter, when values can be negative, when there is no meaningful hierarchy, or when labels become unreadable across too many tiny categories.

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.

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.