- 图表数据
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% who have a favorable opinion of ...
Pew Research Center 发布的一张图背后的数字,用原生图表重画。对照原图,研究数据,再做你自己的。
简化重绘
由我们用下面的数字重新绘制。悬停、点按或用方向键查看。这是简化重绘:它用我们自己的样式展示数字,不是原图的样子。强调色标出这张图的主角。表格里带 ~ 的是估算值。
数字
105 个点中前 10 个免费| 分组 | 系列 | 数值 | 来源 | 置信 |
|---|---|---|---|---|
| Pakistan | U.S. | 19% | 估算 | 0.97 |
| Pakistan | China | ~90% | 估算 | 0.30 |
| Pakistan | Diff | ~75% | 估算 | 0.50 |
| Malaysia | U.S. | ~19% | 估算 | 0.30 |
| Malaysia | China | 73.5% | 估算 | 0.90 |
| Malaysia | Diff | ~56% | 估算 | 0.50 |
| W. Bank/E. Jerusalem | U.S. | 9% | 估算 | 0.97 |
| W. Bank/E. Jerusalem | China | 57% | 估算 | 0.97 |
| W. Bank/E. Jerusalem | Diff | ~48% | 估算 | 0.50 |
| Indonesia | U.S. | ~29% | 估算 | 0.30 |

Max 数据,目前留邮箱免费看
查看全部 105 个数据点并下载文件
这张图的完整表格、JSON、CSV 和 agent skill 文件。它们属于 Max;原型阶段,留邮箱即可解锁。
| Indonesia | China | 72.5% | 估算 | 0.97 |
|---|---|---|---|---|
| Indonesia | Diff | ~43% | 估算 | 0.50 |
| Thailand | U.S. | ~36% | 估算 | 0.30 |
| Thailand | China | 69% | 估算 | 0.97 |
| Thailand | Diff | ~33% | 估算 | 0.50 |
| Sri Lanka | U.S. | ~42% | 估算 | 0.30 |
| Sri Lanka | China | ~72% | 估算 | 0.30 |
| Sri Lanka | Diff | ~30% | 估算 | 0.50 |
| Bangladesh | U.S. | ~26% | 估算 | 0.30 |
| Bangladesh | China | ~56% | 估算 | 0.30 |
| Bangladesh | Diff | ~30% | 估算 | 0.50 |
| Turkey | U.S. | ~13% | 估算 | 0.50 |
| Turkey | China | ~43% | 估算 | 0.50 |
| Turkey | Diff | ~30% | 估算 | 0.50 |
| Spain | U.S. | 30.5% | 估算 | 0.97 |
| Spain | China | 52.5% | 估算 | 0.90 |
| Spain | Diff | ~24% | 估算 | 0.50 |
| Italy | U.S. | ~31% | 估算 | 0.30 |
| Italy | China | ~55% | 估算 | 0.30 |
| Italy | Diff | ~20% | 估算 | 0.50 |
| Greece | U.S. | ~37% | 估算 | 0.30 |
| Greece | China | ~58% | 估算 | 0.30 |
| Greece | Diff | ~20% | 估算 | 0.50 |
| Mexico | U.S. | 35% | 估算 | 0.97 |
| Mexico | China | 52% | 估算 | 0.97 |
| Mexico | Diff | ~18% | 估算 | 0.50 |
| South Africa | U.S. | 36% | 估算 | 0.90 |
| South Africa | China | ~52% | 估算 | 0.30 |
| South Africa | Diff | ~17% | 估算 | 0.50 |
| Nigeria | U.S. | ~63% | 估算 | 0.30 |
| Nigeria | China | 77% | 估算 | 0.90 |
| Nigeria | Diff | ~15% | 估算 | 0.50 |
| Kenya | U.S. | ~63% | 估算 | 0.30 |
| Kenya | China | ~76% | 估算 | 0.30 |
| Kenya | Diff | ~13% | 估算 | 0.50 |
| Chile | U.S. | ~37% | 估算 | 0.30 |
| Chile | China | ~49% | 估算 | 0.30 |
| Chile | Diff | ~12% | 估算 | 0.50 |
| Canada | U.S. | ~33% | 估算 | 0.50 |
| Canada | China | ~44% | 估算 | 0.50 |
| Canada | Diff | ~11% | 估算 | 0.50 |
| Peru | U.S. | ~51% | 估算 | 0.30 |
| Peru | China | ~61% | 估算 | 0.30 |
| Peru | Diff | ~10% | 估算 | 0.50 |
| France | U.S. | 25.5% | 估算 | 0.90 |
| France | China | 35% | 估算 | 0.90 |
| France | Diff | ~9% | 估算 | 0.50 |
| Sweden | U.S. | ~19% | 估算 | 0.30 |
| Sweden | China | ~27% | 估算 | 0.30 |
| Sweden | Diff | ~9% | 估算 | 0.50 |
| Netherlands | U.S. | 24% | 估算 | 0.97 |
| Netherlands | China | 32.5% | 估算 | 0.90 |
| Netherlands | Diff | ~9% | 估算 | 0.50 |
| Australia | U.S. | 25.5% | 估算 | 0.90 |
| Australia | China | ~31% | 估算 | 0.30 |
| Australia | Diff | ~7% | 估算 | 0.50 |
| Argentina | U.S. | 42.5% | 估算 | 0.90 |
| Argentina | China | ~50% | 估算 | 0.30 |
| Argentina | Diff | ~6% | 估算 | 0.50 |
| U.K. | U.S. | ~41% | 估算 | 0.30 |
| U.K. | China | ~46% | 估算 | 0.30 |
| U.K. | Diff | ~5% | 估算 | 0.50 |
| Germany | U.S. | ~27% | 估算 | 0.30 |
| Germany | China | 33% | 估算 | 0.97 |
| Germany | Diff | ~6% | 估算 | 0.50 |
| Colombia | U.S. | ~60% | 估算 | 0.30 |
| Colombia | China | 63.5% | 估算 | 0.97 |
| Colombia | Diff | ~3% | 估算 | 0.50 |
| Hungary | U.S. | ~53% | 估算 | 0.30 |
| Hungary | China | ~58% | 估算 | 0.30 |
| Hungary | Diff | ~5% | 估算 | 0.50 |
| Brazil | U.S. | ~46% | 估算 | 0.30 |
| Brazil | China | 47% | 估算 | 0.97 |
| Brazil | Diff | ~1% | 估算 | 0.50 |
| Ghana | U.S. | ~64% | 估算 | 0.30 |
| Ghana | China | ~68% | 估算 | 0.30 |
| Ghana | Diff | ~4% | 估算 | 0.50 |
| Poland | U.S. | ~39% | 估算 | 0.30 |
| Poland | China | ~49% | 估算 | 0.30 |
| Poland | Diff | ~10% | 估算 | 0.50 |
| Philippines | U.S. | ~40% | 估算 | 0.30 |
| Philippines | China | ~56% | 估算 | 0.30 |
| Philippines | Diff | ~16% | 估算 | 0.50 |
| South Korea | U.S. | ~28% | 估算 | 0.30 |
| South Korea | China | ~45% | 估算 | 0.30 |
| South Korea | Diff | ~17% | 估算 | 0.50 |
| India | U.S. | ~23% | 估算 | 0.30 |
| India | China | ~45% | 估算 | 0.30 |
| India | Diff | ~22% | 估算 | 0.50 |
| Japan | U.S. | ~11% | 估算 | 0.30 |
| Japan | China | ~50% | 估算 | 0.30 |
| Japan | Diff | ~39% | 估算 | 0.50 |
| Israel | U.S. | 19% | 估算 | 0.97 |
| Israel | China | 81% | 估算 | 0.97 |
| Israel | Diff | ~62% | 估算 | 0.50 |
Max 订阅者可以通过 API 取同样的数据。 API 文档
API · Max
用 API 调用这张图
Max 套餐可以取这张图的数字(每个数字都带来源),格式为 JSON 或 CSV,附重画规格;也可以让智能体通过 MCP 调用。图表 id:a7b1f601a52c。
| 路径 | 返回 | 套餐 | |
|---|---|---|---|
| GET | /api/v1/charts/a7b1f601a52c | 标题、发布者、日期、图型、数据点数;用 Max 密钥时附数据链接 | 开放 |
| GET | /api/v1/charts/a7b1f601a52c/data | 每个数据点及其来源和置信度,加上重画规格。加 ?format=csv 得到 CSV | Max |
| GET | /api/v1/charts/a7b1f601a52c/render?view=1 | 本页使用的只读绘图视图 | 开放 |
| POST | /mcp | 工具 get_chart_data 加这个 id,供 Claude、Cursor 等智能体使用 | Max |
curl -s https://viral-chart.com/api/v1/charts/a7b1f601a52c/data \
-H "Authorization: Bearer $VIRALCHART_KEY"claude mcp add --transport http viralchart https://viral-chart.com/mcp \
--header "Authorization: Bearer $VIRALCHART_KEY"每个密钥每分钟 60 次,超出返回 429 和 Retry-After。每个账号最多 5 个密钥,在账户页创建,只显示一次。没有 Max 时数据接口返回 402,并附套餐链接。这些数字描述的是发布者拥有的图,每个文件都带授权说明。
做一张这样的图
这张图的形式,你的数字。
实时预览。所有内容都留在你的设备上。
选择形式
简化形式:用我们自己的样式,不是原图的样子。你的数字从这张图的数据开始。
换上你的数字
这是这张图自己的名称和数字,方便你看清形式。直接改写任何名称或数字,预览会随之重画。发布前请把每一个都换成你的。
这是这张图的数字,方便你看清形式。发布前请把每一个都换成你的。
你的品牌
导出图片
免费图片的角落有一行小字 “Made with ViralChart”,别人就是通过这一行找到我们的。
Pew Research Center 的更多数据
全部图表数据常见问题
这些数字有多准?
它们由两遍独立读图估算得出,置信度 0.52(0 到 1)。图上印着的数字读得准,从坐标轴读出的值可能有几个百分点的偏差。
这些数据可以直接用吗?
这些数字描述的是 Pew Research Center 发布的图表。图片、版式和样式归他们所有。使用数字时请注明发布者,图片请用你自己的数据来做。
怎么拿到文件?
JSON、CSV 和 agent skill 文件在本页的邮箱解锁区。原型里它们是静态文件:/api/charts/a7b1f601a52c.json 和 /api/charts/a7b1f601a52c.skill.md。