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Data · Analysis

Café sales by hour heatmap

Maple Street Café uses this heatmap to see when the counter is busiest across a typical week. The dark cells around midday and on Saturday show when staffing and prep demand are highest, while the colour scale preserves the actual order counts. A heatmap is better than a long table when the question is about patterns across two repeating dimensions. Use complete trading days and a consistent order definition, especially if online orders are included in some periods but not others. Before sharing it, compare the chart with the source table and make the scope explicit. A clear date range, population and unit help another reader interpret the pattern correctly and decide whether follow-up analysis is needed.

Tipo Mappa di caloreMotore echarts-heatmapAggiornato 24/09/2026
Maple Street Café Orders by Hour
Drawing preview
La richiesta

“Create a heatmap of Maple Street Café order counts by day and hour, with Monday through Saturday rows and 8am through 6pm columns.”

Prova alloraAdd Sunday with lower morning orders.Change the title to July orders by hour.
Cosa contiene questo disegno

Leggi le decisioni che ne stanno alla base.

01Set the scope

Use one reporting period and one clear unit.

02Read the pattern

Identify the largest concentration or directional change.

03Check the source

Confirm the displayed values against the underlying data.

Use this heatmap when the stated values and labels are the information the reader needs to compare.

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FAQ

Domande frequenti

What does this heatmap show?

A heatmap uses colour to show the size of a value at the intersection of two categories. It helps readers spot concentrations, gaps and repeated patterns quickly.

How should I read this heatmap?

Choose a colour scale whose minimum and maximum match the data, and include cell labels when precise values matter to the decision.

Can I adapt this heatmap example?

Yes. Replace the title, labels and values with your own data, then check that the prompt still describes every important element in the chart.