Retail Sales Stacked Bar Graph

Retail sales stacked bar graph

This stacked bar graph combines Maple Street Store's monthly sales into one total for each month while retaining the contribution from home, apparel and grocery departments. It works well when a manager needs to compare both store-level performance and the changing composition underneath it. For example, total July sales can rise even if one department is flat because another segment grew. Keep the unit clear and use the same department definitions each month. If the audience must compare small segments precisely, a grouped bar chart may be easier, but stacking gives the cleanest view of the monthly total. It gives teams a concrete starting point for reviewing assumptions, data quality and next steps together.

類型 長條圖引擎 echarts-bar更新時間 2026/9/24

需求

“Create a stacked bar graph for Maple Street Store sales from April through July, stacking home sales of 42, 45, 48 and 51 thousand dollars, apparel sales of 36, 39, 41 and 44 thousand dollars, and grocery sales of 58, 61, 59 and 64 thousand dollars.”

接著試試Add an electronics sales segment.Change July grocery sales to 68 thousand dollars.

這張圖裡有什麼

看懂背後的決策。

01Compare totals

Read the total sales height each month.

02Inspect mix

See which departments drive the total.

03Find shifts

Identify departments changing faster than others.

Use for time periods with additive categories such as department sales.

瀏覽所有長條圖範本 →

常見問題

Why label the axis in thousands?

It keeps sales values readable while preserving a clear unit.

What does the bar height show?

It shows total sales across all departments for that month.

When should I avoid stacked bars?

Avoid them when precise comparison of non-baseline segments is the main goal.