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Regional Example · China

China province data map example

Use a clearly marked demonstration index to learn the complete province-level workflow without presenting sample values as official statistics.

By Humphrey8-minute readWorked exampleUpdated July 24, 2026

The short answer

Select Detailed China Map at Province level, paste one row per province, review the standardized names, then compare natural breaks and quantiles. Keep missing provinces neutral and add a legend unit that describes the demonstration index.

Level
Province
Data
Demonstration only
Use
Practice and slides

1. Select the national province layer

Open Detailed Map, keep China selected, and choose Province as the final level. Use the national extent for a complete comparison. Province names can remain Chinese even when the interface is English.

2. Paste a demonstration dataset

The values below are a fictional practice index. They are not GDP, population, or official statistics and should not be cited as such.

行政区名称	示例指数
北京市	92
河北省	66
上海市	96
江苏省	88
浙江省	85
安徽省	61
福建省	73
山东省	79
河南省	68
湖北省	75
湖南省	70
广东省	94
Use real work responsibly: Replace the demonstration values with sourced data and identify the indicator, year, unit, and source in the finished map.

3. Review the standardized province names

Confirm every row in Match Review. Municipalities and provinces belong to the same province-level comparison, while prefecture-level cities and counties must not be added. Provinces without a row remain no-data rather than zero.

4. Compare classification methods

Start with five classes. Natural breaks can reveal groups in an uneven demonstration series, while quantiles distribute provinces more evenly among colors. Read the class ranges in the legend before deciding which result communicates the intended comparison.

5. Finish labels, legend, and export

Show province names first and add values only if the national map remains readable. Set the unit to “Demonstration index”, keep no-data provinces light gray, retain required China map elements, and export PNG for a slide or SVG for later editing.

Authoritative sources and further reading

These sources support the data-format, classification, labeling, or public-map guidance on this page.

Common questions

Are the example values official statistics?

No. They are fictional demonstration values used only to explain the workflow.

Why do provinces without rows remain gray?

An absent value is missing data, not a measured zero. A separate neutral style prevents that false interpretation.

Practice with clear context

Replace the sample index with your own sourced data

Keep the province level, review every match, and state the indicator and unit before export.

Make a China province map →