#30DayChartChallenge 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.

#rstats #ggplot2 #quantmod #grid
Código/Repo: https://t.ly/0RDmK

This is very welcome news in the face of Trumpist depredations of US public data.
https://lil.law.harvard.edu/blog/2025/01/30/preserving-public-u-s-federal-data/

"In recent months the Harvard Law School [@harvard_law] Library Innovation Lab [@harvardlil] 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 #Github repositories, and #PubMed...."

"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

#Trump #authoritarianism #FederalGovernment #BreakingThings
#DataGov
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https://www.404media.co/archivists-work-to-identify-and-save-the-thousands-of-datasets-disappearing-from-data-gov/

"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?”"

https://www.404media.co/archivists-work-to-identify-and-save-the-thousands-of-datasets-disappearing-from-data-gov/