Statistics and Heatmap

Run CSV statistics and then inspect row-level gradients in a heatmap.

Intermediate~4 mincsvstatisticsvisualization

Use case

Use this to pair summary metrics with visual cell-level distribution signals.

Workflow overview2 steps0 / 2 completed~4 min

Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.

Run CSV statistics and then inspect row-level gradients in a heatmap.

Current focusStep 1 · CSV Statistics

0% complete

Step 1csv-tools Waiting

CSV → JSON

Compute statistics

Review the result here before moving to the next step.

Step 2csv-tools Waiting

CSV → RENDERED-TABLE

Render heatmap

Workflow marker while heatmap table is rendered in UI.

Run this workflow inline

Work through each tool step here. Running a step automatically prepares the next step with the correct handoff value.

Workflow shortcut

Next unlocked step: Step 1 · CSV Statistics

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Step 1Ready to runcsv-tools

Compute row/column stats and numeric summaries for CSV data.

Provide csv input for this workflow step.

Review the result here before moving to the next step.

Run this step to process the current input and prepare the next workflow stage.

Step 2Lockedcsv-tools

Render CSV as a color-graded table where numeric cells are colored from cool (low) to warm (high) within each column.

Complete the previous step first

This step unlocks automatically after all earlier workflow steps are completed successfully.

Paste CSV with headers and numeric columns to color-map values.

Workflow marker while heatmap table is rendered in UI.

Run this step to process the current input and prepare the next workflow stage.