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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"content": "<p><a href=\"https://DSLC.io\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">DSLC.io</span><span class=\"invisible\"></span></a> welcomes you to week 48 of <a href=\"https://fosstodon.org/tags/TidyTuesday\" class=\"mention hashtag\" rel=\"tag\">#<span>TidyTuesday</span></a>! We're exploring U.S. Customs and Border Protection (CBP) Encounter Data!</p><p>📂 <a href=\"https://tidytues.day/2024/2024-11-26\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">tidytues.day/2024/2024-11-26</span><span class=\"invisible\"></span></a><br />📰 <a href=\"https://gdatascience.github.io/us_border_patrol_encounters/us_border_patrol_encounters.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">gdatascience.github.io/us_bord</span><span class=\"invisible\">er_patrol_encounters/us_border_patrol_encounters.html</span></a></p><p>Submit a dataset! <a href=\"https://github.com/rfordatascience/tidytuesday/blob/master/.github/CONTRIBUTING.md\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">github.com/rfordatascience/tid</span><span class=\"invisible\">ytuesday/blob/master/.github/CONTRIBUTING.md</span></a></p><p><a href=\"https://fosstodon.org/tags/RStats\" class=\"mention hashtag\" rel=\"tag\">#<span>RStats</span></a> <a href=\"https://fosstodon.org/tags/PyData\" class=\"mention hashtag\" rel=\"tag\">#<span>PyData</span></a> <a href=\"https://fosstodon.org/tags/JuliaLang\" class=\"mention hashtag\" rel=\"tag\">#<span>JuliaLang</span></a> <a href=\"https://fosstodon.org/tags/DataViz\" class=\"mention hashtag\" rel=\"tag\">#<span>DataViz</span></a> <a href=\"https://fosstodon.org/tags/tidyverse\" class=\"mention hashtag\" rel=\"tag\">#<span>tidyverse</span></a> <a href=\"https://fosstodon.org/tags/r4ds\" class=\"mention hashtag\" rel=\"tag\">#<span>r4ds</span></a></p>",
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"en": "<p><a href=\"https://DSLC.io\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">DSLC.io</span><span class=\"invisible\"></span></a> welcomes you to week 48 of <a href=\"https://fosstodon.org/tags/TidyTuesday\" class=\"mention hashtag\" rel=\"tag\">#<span>TidyTuesday</span></a>! We're exploring U.S. Customs and Border Protection (CBP) Encounter Data!</p><p>📂 <a href=\"https://tidytues.day/2024/2024-11-26\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">tidytues.day/2024/2024-11-26</span><span class=\"invisible\"></span></a><br />📰 <a href=\"https://gdatascience.github.io/us_border_patrol_encounters/us_border_patrol_encounters.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">gdatascience.github.io/us_bord</span><span class=\"invisible\">er_patrol_encounters/us_border_patrol_encounters.html</span></a></p><p>Submit a dataset! <a href=\"https://github.com/rfordatascience/tidytuesday/blob/master/.github/CONTRIBUTING.md\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">github.com/rfordatascience/tid</span><span class=\"invisible\">ytuesday/blob/master/.github/CONTRIBUTING.md</span></a></p><p><a href=\"https://fosstodon.org/tags/RStats\" class=\"mention hashtag\" rel=\"tag\">#<span>RStats</span></a> <a href=\"https://fosstodon.org/tags/PyData\" class=\"mention hashtag\" rel=\"tag\">#<span>PyData</span></a> <a href=\"https://fosstodon.org/tags/JuliaLang\" class=\"mention hashtag\" rel=\"tag\">#<span>JuliaLang</span></a> <a href=\"https://fosstodon.org/tags/DataViz\" class=\"mention hashtag\" rel=\"tag\">#<span>DataViz</span></a> <a href=\"https://fosstodon.org/tags/tidyverse\" class=\"mention hashtag\" rel=\"tag\">#<span>tidyverse</span></a> <a href=\"https://fosstodon.org/tags/r4ds\" class=\"mention hashtag\" rel=\"tag\">#<span>r4ds</span></a></p>"
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"url": "https://cdn.fosstodon.org/media_attachments/files/113/543/856/228/821/350/original/4c6af25a7b1192d8.png",
"name": "Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.",
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"url": "https://cdn.fosstodon.org/media_attachments/files/113/543/856/405/898/755/original/b63ed76f086ef139.png",
"name": "TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results!\nTidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club!\n\n How to Participate\nData is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data.\nExplore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data.\nCreate a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language.\nShare your output and the code used to generate it on social media with the #TidyTuesday hashtag.",
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"name": "A stacked bar plot (created by Tony Galvan, but inspired by @fentasyl on X) showing monthly inadmissible CHNV (Cuban, Haitian, Nicaraguan, and Venezuelan) alien encounters by U.S. Border Patrol agents from 2020 to 2024, based on data from U.S. Customs and Border Protection. Bars represent total monthly encounters, with the blue portion indicating Southern Border encounters and the red portion indicating Interior encounters. From 2020 to 2022, encounters are consistently below 10,000 per month, predominantly at the Southern Border. Starting in 2023, encounters surge dramatically, ranging from 10,000 to 60,000 per month, with Southern and Interior encounters roughly equal. The data appears inaccurately low for late 2023.\n",
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