A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
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"id": "https://graphics.social/users/sponce1/statuses/114457726204754022",
"type": "Note",
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"published": "2025-05-05T23:05:00Z",
"url": "https://graphics.social/@sponce1/114457726204754022",
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"content": "<p>📊 <a href=\"https://graphics.social/tags/MakeoverMonday\" class=\"mention hashtag\" rel=\"tag\">#<span>MakeoverMonday</span></a> – 2025 W19 | Asian Restaurant in the US<br />.<br />🔗: <a href=\"https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_19.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">stevenponce.netlify.app/data_v</span><span class=\"invisible\">isualizations/MakeoverMonday/2025/mm_2025_19.html</span></a><br />.<br /><a href=\"https://graphics.social/tags/rstats\" class=\"mention hashtag\" rel=\"tag\">#<span>rstats</span></a> | <a href=\"https://graphics.social/tags/DataFam\" class=\"mention hashtag\" rel=\"tag\">#<span>DataFam</span></a> | <a href=\"https://graphics.social/tags/dataviz\" class=\"mention hashtag\" rel=\"tag\">#<span>dataviz</span></a> | <a href=\"https://graphics.social/tags/ggplot2\" class=\"mention hashtag\" rel=\"tag\">#<span>ggplot2</span></a></p>",
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"en": "<p>📊 <a href=\"https://graphics.social/tags/MakeoverMonday\" class=\"mention hashtag\" rel=\"tag\">#<span>MakeoverMonday</span></a> – 2025 W19 | Asian Restaurant in the US<br />.<br />🔗: <a href=\"https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2025/mm_2025_19.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">stevenponce.netlify.app/data_v</span><span class=\"invisible\">isualizations/MakeoverMonday/2025/mm_2025_19.html</span></a><br />.<br /><a href=\"https://graphics.social/tags/rstats\" class=\"mention hashtag\" rel=\"tag\">#<span>rstats</span></a> | <a href=\"https://graphics.social/tags/DataFam\" class=\"mention hashtag\" rel=\"tag\">#<span>DataFam</span></a> | <a href=\"https://graphics.social/tags/dataviz\" class=\"mention hashtag\" rel=\"tag\">#<span>dataviz</span></a> | <a href=\"https://graphics.social/tags/ggplot2\" class=\"mention hashtag\" rel=\"tag\">#<span>ggplot2</span></a></p>"
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"url": "https://cdn.masto.host/graphicssocial/media_attachments/files/114/457/722/775/685/546/original/656612af3f1489ef.png",
"name": "A data visualization titled 'The Uneven Landscape of Asian Restaurants in the U.S.' showing two main charts. The top chart displays the composition of Asian restaurants by cuisine type, with Chinese (39%), Japanese (28%), and Thai (11%) dominating. The bottom chart shows representation gaps, highlighting how Japanese (+21%), Chinese (+15%), and Thai (+9%) cuisines are over-represented compared to their population percentages, while Filipino (-19%) and Indian (-14%) cuisines are significantly under-represented. Key insights explain that only 12% of U.S. restaurants serve Asian food and that the three dominant cuisines represent only one-third of Asian Americans.",
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