Which Chart Should You Use? A Practical Guide to 5 Essential Dashboard Visualizations

This article reviews five common dashboard chart types—bar, bar‑horizontal, pie, line, and area—explaining their ideal use cases, key characteristics, and design tips to help B‑end designers choose the most effective visualization for their data.

FangDuoduo UEDC
FangDuoduo UEDC
FangDuoduo UEDC
Which Chart Should You Use? A Practical Guide to 5 Essential Dashboard Visualizations

In B‑end backend design, visualizing data with appropriate charts helps users quickly grasp information and relationships. Below are the five most frequently used chart types, each with its characteristics and practical design advice.

1. Bar Chart

Bar charts are the most commonly used visual for comparing two or more categories, such as daily revenue in a payment app or monthly sales per product category in a supermarket management backend.

Ideal for comparing multiple categories or analyzing a small data set.

Bar width should be balanced with spacing; overly thin bars hinder comparison, while overly wide bars appear bulky.

2. Horizontal Bar Chart

The horizontal version of the bar chart is useful when category names are long, providing enough space for labels while still comparing quantities.

When category labels are lengthy, a horizontal bar chart improves readability.

If there are too many categories, the chart can become cluttered and lose effectiveness.

3. Pie Chart (including Donut)

Pie charts (and donut charts) illustrate proportional relationships among a limited number of categories, typically fewer than seven.

Best for showing distribution when categories are few; avoid using with many slices.

Include clear percentage labels or accompanying text to aid interpretation.

Place the most important slice at the 12‑o’clock position for better visual emphasis.

Adding a thin separator line (1‑2 px) between slices can improve visual clarity.

4. Line Chart

Line charts are ideal for showing trends over time, such as stock price movements or heart‑rate monitoring.

Data points are usually tied to a temporal axis.

Avoid excessive vertical fluctuations; if the line becomes jagged, extend the time range or increase the Y‑axis scale.

When emphasizing specific values, add data points and annotations on the line.

5. Area Chart

Area charts share the same use case as line charts but fill the space beneath the line, giving a stronger visual emphasis on the magnitude of change.

Use semi‑transparent colors to keep overlapping areas readable.

Suitable for displaying a small number of categories (generally no more than five) to avoid visual clutter.

Summary: By combining bar, horizontal bar, pie, line, and area charts, designers can cover roughly 80 % of typical B‑end dashboard requirements. Choose the chart that best aligns with the design goal and the nature of the data.

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frontendData VisualizationUI/UXchartsdashboard design
FangDuoduo UEDC
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FangDuoduo UEDC

FangDuoduo UEDC, officially the FangDuoduo User Experience Design Center. It handles UX design for FangDuoduo’s suite of products and focuses on pioneering experience innovation in the online real‑estate sector.

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