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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.

種類 ヒートマップエンジン echarts-heatmap更新日 2026/9/24
Maple Street Café Orders by Hour
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依頼内容

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

次はこちらAdd Sunday with lower morning orders.Change the title to July orders by hour.
この図に含まれるもの

図の背後にある意思決定を読み解く。

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.

ヒートマップのテンプレートをすべて見る →

よくある質問

よくある質問

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.