So I'm probably going to be nerd sniped into developing a Jupyter notebook to examine the question of how well are mid income families 2 adults and 2 kids doing relative to how well their parents were doing 30 years earlier. I'm going to use a dirichlet prior over the weights on a 5 item CPI based expense index. The missing part is paired nominal earnings of people and their parents... Anyone know a dataset #statistics#data#economics@economics@a.gup.pe
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