Yes OK, does it concern the suspects or the #police themselves and how would they like to be taken seriously?
»Europol confirms #web portal breach, says no operational data stolen:
Europol, the #Euroe'an Union's (#EU) law enforcement agency, confirmed that its #Europol Platform for Experts (#EPE) portal was breached and is now investigating the incident after a threat actor claimed they stole For Official Use Only (#FOUO) #document's containing classified #data.«
After setting up app tracking protection on my phone a couple of days ago, I can see thousands of blocked tracking attempts across so many apps, including ones that aren't in use.
I don't use Facebook or Google, but they seem to insert themselves into everything to get their sticky mitts on #data.
Want to check duplicate values across columns of a data.frame? Well you can do that in a basic way with TidyDensity and the check_duplicate_rows() function, or you can go through todays blog post for some other ideas with #BaseR#dplyr and #datatable
You can still see some trends, for example, people who use Ivory for iOS posted 49% of their images with alt text, compared to Mastodon's 17.8% for Android and 20% for iOS users.
But I am not sure if there is enough data to draw solid conclusions.
New from me: Menstruation-tracking apps leak users' #data to advertisers & law enforcement, especially post-Roe v. Wade in the US. To address these apps, I recommend data decommodification, which requires data be collected only to provide the service (ie., period tracking) but not be repurposed toward other activities (like advertising). #surveillance
Discover essential techniques to check for column existence in R data frames!
Use %in% with names() or colnames(), explore dynamic checks with exists() and within(), or identify patterns with grepl(). Experiment with these methods in your projects.
Info on historical collectors & other collection agents affiliated with the Museum für Naturkunde Berlin was transferred from local wikis to @wikidata to help #accessibility & #reusability of #data, for example, as a resource for transdisciplinary #provenance#research.
If you take the population and divide by the rate of housing starts per year, you get a quantity in dimensions of time and units of years. This quantity roughly speaking is related to the "longevity of a dwelling" you need to have in order for the housing per person that's available not to decline. So if real longevity of houses is more or less a constant, then when this graph is high housing availability is declining, and when it's low it's growing... There's a reason millennials feel cheated
Dagnab it, I am constantly wishing I had more text in my messages and forgetting to tag stuff in my first post. This message is just to tag @economics@a.gup.pe and some hash tags #economics#housing#data#statistics
This discussion is about housing longevity and the adequate production rate of housing starts to keep housing from becoming scarce. There's a graph in the first post that shows very interesting dynamics.