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Miki :rstats:<a href="https://techhub.social/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#30DayChartChallenge</a> Día 12: Gov Data Day! 🏛️ Explorando la distribución del spread 10Y-2Y del Tesoro USA (datos de FRED desde 1976).Este histograma/densidad va más allá del valor diario: muestra la *probabilidad* histórica de cada nivel del spread. ¡Clave para entender expectativas económicas!Puntos clave: * Modo principal > 0 (curva normal es lo más común). * ¡La inversión (<0, línea discontinua) tiene una probabilidad no trivial! ⚠️ Es la famosa señal pre-recesión. La distribución nos dice cuán "normal" es esa señal en perspectiva histórica. * La forma general revela info sobre la dinámica de tipos.Una visualización sobre la estructura probabilística de un indicador líder fundamental.🛠️ <a href="https://techhub.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a> <a href="https://techhub.social/tags/quantmod" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#quantmod</a> <a href="https://techhub.social/tags/grid" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#grid</a> 📂 Código/Repo: <a href="https://t.ly/0RDmK" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://t.ly/0RDmK</a><a href="https://techhub.social/tags/Day12" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Day12</a> <a href="https://techhub.social/tags/Distributions" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Distributions</a> <a href="https://techhub.social/tags/datagov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#datagov</a> <a href="https://techhub.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataviz</a> <a href="https://techhub.social/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataVisualization</a> <a href="https://techhub.social/tags/YieldCurve" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#YieldCurve</a> <a href="https://techhub.social/tags/InterestRates" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InterestRates</a> <a href="https://techhub.social/tags/Economics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Economics</a> <a href="https://techhub.social/tags/Finance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Finance</a> <a href="https://techhub.social/tags/Recession" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Recession</a> <a href="https://techhub.social/tags/DataAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataAnalysis</a> <a href="https://techhub.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ggplot2</a>

csv,conf📯 We are excited to announce that the call for proposals for <a href="https://mastodon.social/tags/CSVCONF" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CSVCONF</a> csv,conf,v9 is now open! 💡 This year theme is "Data for Communities" ✍🏾 Submit your ideas for talks by April 6 for a chance to join us in Bologna! <a href="https://forms.gle/AEC5oXgQBhPrKiPJ7" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://forms.gle/AEC5oXgQBhPrKiPJ7</a> <a href="https://mastodon.social/tags/OpenData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenData</a> <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenSource</a> <a href="https://mastodon.social/tags/DataJournalism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataJournalism</a> <a href="https://mastodon.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> <a href="https://mastodon.social/tags/DataGov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataGov</a>

petersuberUpdate. "Today we [Harvard Law School <a href="https://bird.makeup/users/harvard_law" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@harvard_law</a> Library Innovation Lab <a href="https://bird.makeup/users/harvardlil" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@harvardlil</a>] released our archive of data.gov on Source Cooperative. The 16TB collection includes over 311,000 datasets harvested during 2024 and 2025, a complete archive of federal public datasets linked by data.gov. It will be updated daily as new datasets are added to data.gov. This is the first release in our new data vault project to preserve and authenticate vital public datasets for academic research, policymaking, and public use." <a href="https://lil.law.harvard.edu/blog/2025/02/06/announcing-data-gov-archive/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://lil.law.harvard.edu/blog/2025/02/06/announcing-data-gov-archive/</a><a href="https://fediscience.org/tags/DataGov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataGov</a> <a href="https://fediscience.org/tags/Libraries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Libraries</a> <a href="https://fediscience.org/tags/OpenData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenData</a> <a href="https://fediscience.org/tags/Preservation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Preservation</a> <a href="https://fediscience.org/tags/Trump" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Trump</a> <a href="https://fediscience.org/tags/USPol" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#USPol</a> <a href="https://fediscience.org/tags/USPolitics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#USPolitics</a>

petersuberThis is very welcome news in the face of Trumpist depredations of US public data. <a href="https://lil.law.harvard.edu/blog/2025/01/30/preserving-public-u-s-federal-data/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://lil.law.harvard.edu/blog/2025/01/30/preserving-public-u-s-federal-data/</a>"In recent months the Harvard Law School [<a href="https://bird.makeup/users/harvard_law" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@harvard_law</a>] Library Innovation Lab [<a href="https://bird.makeup/users/harvardlil" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@harvardlil</a>] has created a data vault to download, sign as authentic, and make available copies of public government data that is most valuable to researchers, scholars, civil society and the public at large across every field. To begin, we have collected major portions of the datasets tracked by data.gov, federal <a href="https://fediscience.org/tags/Github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Github</a> repositories, and <a href="https://fediscience.org/tags/PubMed" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PubMed</a>...."<a href="https://fediscience.org/tags/DataGov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataGov</a> <a href="https://fediscience.org/tags/Libraries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Libraries</a> <a href="https://fediscience.org/tags/OpenData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenData</a> <a href="https://fediscience.org/tags/Preservation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Preservation</a> <a href="https://fediscience.org/tags/Trump" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Trump</a> <a href="https://fediscience.org/tags/USPol" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#USPol</a> <a href="https://fediscience.org/tags/USPolitics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#USPolitics</a>

William Lindsey :toad:"As people in the Data Hoarding and archiving communities have pointed out, on January 21, there were 307,854 datasets on data.gov. As of Thursday, there are 305,564 datasets. Many of the deletions happened immediately after Trump was inaugurated, according to snapshots of the website saved on the Internet Archive’s Wayback Machine."<a href="https://toad.social/tags/Trump" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Trump</a> <a href="https://toad.social/tags/authoritarianism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#authoritarianism</a> <a href="https://toad.social/tags/FederalGovernment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FederalGovernment</a> <a href="https://toad.social/tags/BreakingThings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BreakingThings</a> <a href="https://toad.social/tags/DataGov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataGov</a> /2

William Lindsey :toad:"Datasets aggregated on data.gov, the largest repository of U.S. government open data on the internet, are being deleted, according to the website’s own information. Since Donald Trump was inaugurated as president, more than 2,000 datasets have disappeared from the database."~ Jason Koebler<a href="https://toad.social/tags/Trump" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Trump</a> <a href="https://toad.social/tags/authoritarianism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#authoritarianism</a> <a href="https://toad.social/tags/FederalGovernment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FederalGovernment</a> <a href="https://toad.social/tags/BreakingThings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BreakingThings</a> <a href="https://toad.social/tags/DataGov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataGov</a> /1<a href="https://www.404media.co/archivists-work-to-identify-and-save-the-thousands-of-datasets-disappearing-from-data-gov/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.404media.co/archivists-work-to-identify-and-save-the-thousands-of-datasets-disappearing-from-data-gov/</a>

Miguel Afonso Caetano"Disproportionately, the datasets that are no longer accessible through the portal come from the Department of Energy, the National Oceanic and Atmospheric Administration, the Department of the Interior, NASA, and the Environmental Protection Agency. But determining what is actually gone and what has simply moved or is backed up elsewhere by the government is a manual task, and it's too early to say for sure what is gone and what may have been renamed or updated with a newer version. This is because data.gov doesn’t always host the data that it is indexing. Sometimes the data is hosted directly on data.gov, but other times it links to an individual agency’s website, where the data is actually hosted. This means archiving and analyzing data.gov is not straightforward.“Some of [the entries link to] actual data,” Cushman told 404 Media. “And some of them link to a landing page [where the data is hosted]. And the question is—when things are disappearing, is it the data it points to that is gone? Or is it just the index to it that’s gone?”"<a href="https://www.404media.co/archivists-work-to-identify-and-save-the-thousands-of-datasets-disappearing-from-data-gov/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.404media.co/archivists-work-to-identify-and-save-the-thousands-of-datasets-disappearing-from-data-gov/</a><a href="https://tldr.nettime.org/tags/USA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#USA</a> <a href="https://tldr.nettime.org/tags/Trump" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Trump</a> <a href="https://tldr.nettime.org/tags/DigitalArchiving" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DigitalArchiving</a> <a href="https://tldr.nettime.org/tags/DataGov" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataGov</a> <a href="https://tldr.nettime.org/tags/OpenData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenData</a> <a href="https://tldr.nettime.org/tags/OpenGovernment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenGovernment</a>

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