One number per place, compared across the map
Unemployment rate by country, median income by state, vote share by county. A choropleth is built exactly for this: one value, one shade, one glance to find the extremes.
该类别中的模板
快速浏览这里的内容，点击任意模板打开。
关于 Maps
Map chart templates take data that's tagged to a place (a country, a US state, a county, a region) and encode a value as color across that geography, so the reader sees the pattern before they read a single number. The category's core member is the choropleth map: every area on the map gets a shade drawn from your data, darker or more saturated for higher values, so a reader spots the hot spots and cold spots at a glance without scanning a table.
What distinguishes a good map chart from a misleading one is almost never the visual design. It's what value you chose to shade by. Shade by a raw count and a choropleth quietly turns into a population map: California and Texas light up on nearly any metric just because they have more people and more of everything. Use a rate, a per-capita figure or a percentage instead, and the map actually answers the question you're asking. This is the one thing worth getting right before you touch a template.
This hub is deliberately narrow for now. It covers the static, single-snapshot choropleth. If your geography needs to change or move over time, that's a job for an animated format instead, and PlotSet's dedicated /maps hub lists the full set of supported geographies (countries, US states, and more) if you need to check coverage before you start.
该类别中的图表类型
每种都有专属的免费制作工具，且已加载示例数据。
该类别中的动画视频模板
原理相同，只是生成为 MP4 而不是静态图表。
处理地理数据？
地图中心涵盖 PlotSet 支持的全部地图类型，包括本类别之外的类型。
最适用于
Spotting regional clusters a table would hide
Rows in a spreadsheet don't show you that a value is high across an entire coastline or a whole region. Color on a map does. Clustering jumps out instantly in a way a sorted list can't replicate.
A rate or percentage, not a raw total
CO2 emissions per capita, smartphone ownership rate, percentage of households with broadband. These are exactly the metrics choropleth maps were designed to carry, because they're already normalized for area and population.
A rate that needs to change over time
Emissions per capita by year, unemployment rate by quarter, election results across several cycles. A static choropleth handles one snapshot well; for a series that needs to build region by region, pair it with the map tour video template instead.
如何创建
从电子表格到已发布的图表，一步一步来。
Confirm your geography is supported
Check that your data matches a supported boundary set (countries, US states, or another region PlotSet recognizes) before you upload, so every row has somewhere to land on the map.
Open the choropleth map template
It opens with sample data already bound in, so you can see the two-column shape it expects: a place name or code, and the value to shade by.
Upload your spreadsheet and pick the right value
Import a CSV or Excel file, or paste from a spreadsheet. Make sure the column you're shading by is a rate or a normalized figure, not a raw count, unless population really is what you're mapping.
Publish, embed or export
Publish for an interactive embed with hover tooltips per region, or export a static PNG, SVG or PDF for a report or slide deck.
打开编辑器，从该类别的任何模板开始（已加载示例数据）。
打开编辑器Maps：常见问题
A map where each region (country, state, county) is shaded according to a data value, typically on a color scale from light to dark. It's the standard way to show how a metric varies across geography at a glance, without forcing the reader to read individual numbers.
现在制作您的 Maps
免费开始，300+ 模板任选。无需信用卡。